├── mlruns ├── 0 │ └── meta.yaml └── 1 │ ├── 1ee10338cb4e46558a071830b7c68e5e │ ├── tags │ │ ├── mlflow.user │ │ ├── mlflow.runName │ │ ├── mlflow.source.type │ │ ├── mlflow.source.name │ │ ├── mlflow.source.git.commit │ │ └── mlflow.log-model.history │ ├── metrics │ │ ├── auc │ │ └── log_loss │ ├── artifacts │ │ └── best_model │ │ │ ├── conda.yaml │ │ │ ├── model.h2o │ │ │ ├── StackedEnsemble_AllModels_3_AutoML_1_20211225_171543 │ │ │ └── h2o.yaml │ │ │ └── MLmodel │ ├── meta.yaml │ └── leaderboard.csv │ └── meta.yaml ├── test_requirements.txt ├── requirements.txt ├── README.md ├── data └── processed │ ├── train_column_types.json │ └── churn_test.csv ├── metaflow_main.py ├── params.yaml ├── src └── data │ ├── split_data.py │ ├── load_data.py │ └── preprocessors_bonus.py ├── split_daya.py ├── Airflow_main.py ├── Load_data.py ├── H2O_FastApi.py ├── train_model.py ├── H2O_main.py └── Prefect_main.py /mlruns/1/1ee10338cb4e46558a071830b7c68e5e/tags/mlflow.user: -------------------------------------------------------------------------------- 1 | ashis -------------------------------------------------------------------------------- /mlruns/1/1ee10338cb4e46558a071830b7c68e5e/tags/mlflow.runName: -------------------------------------------------------------------------------- 1 | Automl_h2o -------------------------------------------------------------------------------- /mlruns/1/1ee10338cb4e46558a071830b7c68e5e/tags/mlflow.source.type: -------------------------------------------------------------------------------- 1 | LOCAL -------------------------------------------------------------------------------- /mlruns/1/1ee10338cb4e46558a071830b7c68e5e/tags/mlflow.source.name: -------------------------------------------------------------------------------- 1 | H2O_main.py -------------------------------------------------------------------------------- /mlruns/1/1ee10338cb4e46558a071830b7c68e5e/metrics/auc: -------------------------------------------------------------------------------- 1 | 1640470787432 0.818670207809151 0 2 | -------------------------------------------------------------------------------- /mlruns/1/1ee10338cb4e46558a071830b7c68e5e/metrics/log_loss: -------------------------------------------------------------------------------- 1 | 1640470787371 0.3199067382840189 0 2 | -------------------------------------------------------------------------------- /mlruns/1/1ee10338cb4e46558a071830b7c68e5e/tags/mlflow.source.git.commit: -------------------------------------------------------------------------------- 1 | fa37035f518d0faab8b171e6c4b6c5b1c76efaa1 -------------------------------------------------------------------------------- /test_requirements.txt: -------------------------------------------------------------------------------- 1 | -r requirements.txt 2 | 3 | # testing requirements 4 | pytest>=6.2.3,><6.3.0> 5 | 6 | # repo maintenance 7 | black==20.8b1 8 | isort==5.8.0 -------------------------------------------------------------------------------- /mlruns/0/meta.yaml: -------------------------------------------------------------------------------- 1 | artifact_location: file:///C:/Users/ashis/OneDrive/Desktop/MLOps/MLOps/MetaFlow_MLOps/mlruns/0 2 | experiment_id: '0' 3 | lifecycle_stage: active 4 | name: Default 5 | -------------------------------------------------------------------------------- /mlruns/1/meta.yaml: -------------------------------------------------------------------------------- 1 | artifact_location: file:///C:/Users/ashis/OneDrive/Desktop/MLOps/MLOps/MetaFlow_MLOps/mlruns/1 2 | experiment_id: '1' 3 | lifecycle_stage: active 4 | name: model_automl 5 | -------------------------------------------------------------------------------- /mlruns/1/1ee10338cb4e46558a071830b7c68e5e/artifacts/best_model/conda.yaml: -------------------------------------------------------------------------------- 1 | channels: 2 | - defaults 3 | dependencies: 4 | - python=3.8.7 5 | - pip: 6 | - mlflow 7 | - h2o==3.34.0.3 8 | name: mlflow-env 9 | -------------------------------------------------------------------------------- /mlruns/1/1ee10338cb4e46558a071830b7c68e5e/artifacts/best_model/model.h2o/StackedEnsemble_AllModels_3_AutoML_1_20211225_171543: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishtele/MetaFlow_MLOps/HEAD/mlruns/1/1ee10338cb4e46558a071830b7c68e5e/artifacts/best_model/model.h2o/StackedEnsemble_AllModels_3_AutoML_1_20211225_171543 -------------------------------------------------------------------------------- /mlruns/1/1ee10338cb4e46558a071830b7c68e5e/artifacts/best_model/model.h2o/h2o.yaml: -------------------------------------------------------------------------------- 1 | full_file: C:\Users\ashis\AppData\Local\Temp\tmpsndyh569\model\model.h2o\StackedEnsemble_AllModels_3_AutoML_1_20211225_171543 2 | model_dir: C:\Users\ashis\AppData\Local\Temp\tmpsndyh569\model\model.h2o 3 | model_file: StackedEnsemble_AllModels_3_AutoML_1_20211225_171543 4 | -------------------------------------------------------------------------------- /mlruns/1/1ee10338cb4e46558a071830b7c68e5e/tags/mlflow.log-model.history: -------------------------------------------------------------------------------- 1 | [{"run_id": "1ee10338cb4e46558a071830b7c68e5e", "artifact_path": "best_model", "utc_time_created": "2021-12-25 22:19:47.496389", "flavors": {"python_function": {"loader_module": "mlflow.h2o", "python_version": "3.8.7", "data": "model.h2o", "env": "conda.yaml"}, "h2o": {"h2o_version": "3.34.0.3", "data": "model.h2o"}}}] -------------------------------------------------------------------------------- /mlruns/1/1ee10338cb4e46558a071830b7c68e5e/artifacts/best_model/MLmodel: -------------------------------------------------------------------------------- 1 | artifact_path: best_model 2 | flavors: 3 | h2o: 4 | data: model.h2o 5 | h2o_version: 3.34.0.3 6 | python_function: 7 | data: model.h2o 8 | env: conda.yaml 9 | loader_module: mlflow.h2o 10 | python_version: 3.8.7 11 | run_id: 1ee10338cb4e46558a071830b7c68e5e 12 | utc_time_created: '2021-12-25 22:19:47.496389' 13 | -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | # Semantic Versioning (Major.minor.patch) 2 | # We use comptible release functionality (PEP 440) to specify acceptable versions 3 | # numpy>=1.20.0,<1.21.0 4 | # pip install -r requirements.txt 5 | fastapi==0.70.0 6 | h2o==3.34.0.3 7 | mlflow==1.7.0 8 | pandas 9 | requests==2.26.0 10 | streamlit==1.2.0 11 | python-multipart==0.0.5 12 | uvicorn==0.15.0 13 | tabulate==0.8.7 14 | future==0.18.2 15 | opendatasets==0.1.20 -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # MetaFlow_MLOps 2 | End to end example of Metaflow pipeline (Python) 3 | 4 | ___ 5 | ## Project Files and Folders 6 | - `/data` - Folder containing the raw data, processed data and external data 7 | - `/src` - Folder containing the scripts for load and split data 8 | - `Airflow_main.py` - Script for airflow DAG (Load >> Split >> Send_Email) 9 | - `Prefect_main.py` - Script demonstrating the Prefect Orchestration flow 10 | - `Metaflow_main.py` - Script with Metaflow code 11 | -------------------------------------------------------------------------------- /mlruns/1/1ee10338cb4e46558a071830b7c68e5e/meta.yaml: -------------------------------------------------------------------------------- 1 | artifact_uri: file:///C:/Users/ashis/OneDrive/Desktop/MLOps/MLOps/MetaFlow_MLOps/mlruns/1/1ee10338cb4e46558a071830b7c68e5e/artifacts 2 | end_time: 1640470789554 3 | entry_point_name: '' 4 | experiment_id: '1' 5 | lifecycle_stage: active 6 | name: '' 7 | run_id: 1ee10338cb4e46558a071830b7c68e5e 8 | run_uuid: 1ee10338cb4e46558a071830b7c68e5e 9 | source_name: '' 10 | source_type: 4 11 | source_version: '' 12 | start_time: 1640470542862 13 | status: 3 14 | tags: [] 15 | user_id: ashis 16 | -------------------------------------------------------------------------------- /data/processed/train_column_types.json: -------------------------------------------------------------------------------- 1 | {"state": "enum", "account_length": "int", "area_code": "enum", "international_plan": "enum", "voice_mail_plan": "enum", "number_vmail_messages": "int", "total_day_minutes": "real", "total_day_calls": "int", "total_day_charge": "real", "total_eve_minutes": "real", "total_eve_calls": "int", "total_eve_charge": "real", "total_night_minutes": "real", "total_night_calls": "int", "total_night_charge": "real", "total_intl_minutes": "real", "total_intl_calls": "int", "total_intl_charge": "real", "number_customer_service_calls": "int", "churn": "enum"} -------------------------------------------------------------------------------- /metaflow_main.py: -------------------------------------------------------------------------------- 1 | from metaflow import FlowSpec, step, parameter 2 | import os 3 | import pandas as pd 4 | import numpy as np 5 | 6 | class Pipeline(FlowSpec): 7 | @step 8 | def start(self): 9 | self.next(self.load_data) 10 | 11 | @step 12 | def load_data(self): 13 | """ 14 | TODO: Load data from file 15 | """ 16 | 17 | self.next(self.preprocess) 18 | 19 | @step 20 | def split_data(self): 21 | 22 | """ 23 | TODO: Split data into training and test sets 24 | """ 25 | self.next(self.train) 26 | 27 | @step 28 | def train(self): 29 | """ 30 | TODO: Train model 31 | """ 32 | self.next(self.predict) 33 | 34 | @step 35 | def predict(self): 36 | """ 37 | TODO: Predict on test set 38 | """ 39 | self.next(self.end) 40 | 41 | @step 42 | def end(self): 43 | print("End of Pipeline!") 44 | 45 | if __name__ == '__main__': 46 | Pipeline() -------------------------------------------------------------------------------- /params.yaml: -------------------------------------------------------------------------------- 1 | external_data_config: 2 | external_data_csv: data/external/train.csv 3 | 4 | raw_data_config: 5 | raw_data_csv: data/raw/train.csv 6 | model_var: ['churn','number_vmail_messages','total_day_calls','total_eve_minutes','total_eve_charge','total_intl_minutes','number_customer_service_calls'] 7 | train_test_split_ratio: 0.3 8 | target: churn 9 | random_state: 111 10 | new_train_data_csv: data/raw/train_new.csv 11 | 12 | processed_data_config: 13 | train_data_csv: data/processed/churn_train.csv 14 | test_data_csv: data/processed/churn_test.csv 15 | 16 | mlflow_config: 17 | artifacts_dir: artifacts 18 | experiment_name: model_iteration1 19 | run_name: random_forest 20 | registered_model_name: random_forest_model 21 | remote_server_uri: http://localhost:5000 22 | experiment_name_h2o: model_automl 23 | run_name_h2o: Automl_h2o 24 | seed: 1992 25 | max_models: 10 26 | balance_classes: True 27 | sort_metric: logloss 28 | verbosity: info 29 | exclude_algos: ['GLM', 'DRF'] 30 | 31 | random_forest: 32 | max_depth: 10 33 | n_estimators: 50 34 | 35 | model_dir: models/model.joblib 36 | 37 | model_webapp_dir: webapp/model_webapp_dir/model.joblib 38 | 39 | model_monitor: 40 | target_col_name: target 41 | monitor_dashboard_html: reports/data_and_target_drift_dashboard.html 42 | 43 | great_exp: 44 | exp_json_file: great_expectations/exp_json_file.json 45 | 46 | Heroku: 47 | 0d885ae0-6fc4-447d-87d5-07e39c8d864f -------------------------------------------------------------------------------- /src/data/split_data.py: -------------------------------------------------------------------------------- 1 | import argparse 2 | import pandas as pd 3 | from load_data import read_params 4 | from sklearn.model_selection import train_test_split 5 | 6 | def split_data(df,train_data_path,test_data_path,split_ratio,random_state): 7 | train, test = train_test_split(df, test_size=split_ratio, random_state=random_state) 8 | train.to_csv(train_data_path, sep=",", index=False, encoding="utf-8") 9 | test.to_csv(test_data_path, sep=",", index=False, encoding="utf-8") 10 | 11 | def split_and_saved_data(config_path): 12 | """ 13 | split the train dataset(data/raw) and save it in the data/processed folder 14 | input: config path 15 | output: save splitted files in output folder 16 | """ 17 | config = read_params(config_path) 18 | raw_data_path = config["raw_data_config"]["raw_data_csv"] 19 | test_data_path = config["processed_data_config"]["test_data_csv"] 20 | train_data_path = config["processed_data_config"]["train_data_csv"] 21 | split_ratio = config["raw_data_config"]["train_test_split_ratio"] 22 | random_state = config["raw_data_config"]["random_state"] 23 | raw_df=pd.read_csv(raw_data_path) 24 | split_data(raw_df,train_data_path,test_data_path,split_ratio,random_state) 25 | 26 | if __name__=="__main__": 27 | args = argparse.ArgumentParser() 28 | args.add_argument("--config", default="params.yaml") 29 | parsed_args = args.parse_args() 30 | split_and_saved_data(config_path=parsed_args.config) -------------------------------------------------------------------------------- /split_daya.py: -------------------------------------------------------------------------------- 1 | import argparse 2 | import yaml 3 | import pandas as pd 4 | from sklearn.model_selection import train_test_split 5 | 6 | def read_params(config_path): 7 | """ 8 | read parameters from the params.yaml file 9 | input: params.yaml location 10 | output: parameters as dictionary 11 | """ 12 | with open(config_path) as yaml_file: 13 | config = yaml.safe_load(yaml_file) 14 | return config 15 | 16 | def split_data(df,train_data_path,test_data_path,split_ratio,random_state): 17 | train, test = train_test_split(df, test_size=split_ratio, random_state=random_state) 18 | train.to_csv(train_data_path, sep=",", index=False, encoding="utf-8") 19 | test.to_csv(test_data_path, sep=",", index=False, encoding="utf-8") 20 | 21 | def split_and_saved_data(config_path): 22 | """ 23 | split the train dataset(data/raw) and save it in the data/processed folder 24 | input: config path 25 | output: save splitted files in output folder 26 | """ 27 | config = read_params(config_path) 28 | raw_data_path = config["raw_data_config"]["raw_data_csv"] 29 | test_data_path = config["processed_data_config"]["test_data_csv"] 30 | train_data_path = config["processed_data_config"]["train_data_csv"] 31 | split_ratio = config["raw_data_config"]["train_test_split_ratio"] 32 | random_state = config["raw_data_config"]["random_state"] 33 | raw_df=pd.read_csv(raw_data_path) 34 | split_data(raw_df,train_data_path,test_data_path,split_ratio,random_state) 35 | 36 | if __name__=="__main__": 37 | args = argparse.ArgumentParser() 38 | args.add_argument("--config", default="params.yaml") 39 | parsed_args = args.parse_args() 40 | split_and_saved_data(config_path=parsed_args.config) -------------------------------------------------------------------------------- /Airflow_main.py: -------------------------------------------------------------------------------- 1 | ## Importing the libraries 2 | # Instantiate the DAG 3 | from airflow import DAG 4 | from airflow.operators.bash_operator import BashOperator 5 | from datetime import datetime, timedelta 6 | from airflow.operators.email_operator import EmailOperator 7 | from airflow.operators.python_operator import PythonOperator 8 | 9 | 10 | default_args = { 11 | 'owner': 'MLOps_admin', 12 | 'depends_on_past': False, 13 | "email_on_failure": False, 14 | "email_on_retry": False, 15 | "email": ['ashish.tele@uconn.edu'], 16 | "retries": 1, 17 | "retry_delay": timedelta(minutes=5) 18 | } 19 | 20 | with DAG("churn_model_pipeline", 21 | description="Churn Model Pipeline", 22 | default_args=default_args, 23 | schedule_interval= "@daily", 24 | start_date=datetime(2021, 12, 12), 25 | catchup = False 26 | ) as dag: 27 | 28 | # Task 1: Downloading the data 29 | # Bash operators are used to execute bash commands 30 | # Dummy operator is used to check the status of the DAG and does nothing 31 | load_data = BashOperator( 32 | task_id="download_data", 33 | bash_command="python src/data/load_data.py" 34 | ) 35 | 36 | # Task 2: Preprocessing the data 37 | # Python operators are used to execute python code 38 | split_data = BashOperator( 39 | task_id="preprocess_data", 40 | bash_command="python src/data/split_data.py" 41 | ) 42 | 43 | # Task : Send email notification 44 | # Email operators are used to send email notifications 45 | send_email = EmailOperator( 46 | task_id="send_email", 47 | to="ashish.tele@uconn.edu", 48 | subject="Churn Model Pipeline Notification", 49 | html_content="

Dag Run Successfully

" 50 | ) 51 | 52 | load_data >> split_data >> send_email 53 | 54 | 55 | -------------------------------------------------------------------------------- /Load_data.py: -------------------------------------------------------------------------------- 1 | import numpy as np 2 | import pandas as pd 3 | import yaml 4 | import argparse 5 | import typing 6 | 7 | def read_params(config_path: str): 8 | """ 9 | Reads the parameters from the .yaml file 10 | input: params.yaml location 11 | output: paramaeters in a dictionary 12 | """ 13 | 14 | with open(config_path, 'r') as yaml_file: 15 | try: 16 | config = yaml.safe_load(yaml_file) 17 | except yaml.YAMLError as exc: 18 | print(exc) 19 | return config 20 | 21 | def load_data(data_path: str, data_type = 'train', model_var: typing.List[str] = None): 22 | """ 23 | Reads the data from the .csv file from given path 24 | input: data_path, data_type 25 | output: data in a pandas dataframe 26 | """ 27 | if data_type == 'train': 28 | data = pd.read_csv(data_path, 29 | sep=',', 30 | encoding='utf-8') 31 | data = data[model_var] 32 | return data 33 | 34 | def load_raw_data(config_path: str): 35 | """ 36 | Load datafrom external location (data/external) tp raw folder (data/raw) 37 | with train and test data 38 | input: data_path 39 | output: save file in data/raw folder 40 | """ 41 | config = read_params(config_path) 42 | external_data_path = config['external_data_config']['external_data_csv'] 43 | raw_data_path = config['raw_data_config']['raw_data_csv'] 44 | model_var = config['raw_data_config']['model_var'] 45 | 46 | df = load_data(data_path=external_data_path, 47 | data_type='train', 48 | model_var=model_var) 49 | df.to_csv(raw_data_path, index = False) 50 | 51 | 52 | if __name__ == "__main__": 53 | parser = argparse.ArgumentParser() 54 | parser.add_argument('--config', 55 | type=str, 56 | default='params.yaml') 57 | args = parser.parse_args() 58 | config_path = args.config 59 | load_raw_data(config_path) -------------------------------------------------------------------------------- /src/data/load_data.py: -------------------------------------------------------------------------------- 1 | # Importing the libraries 2 | import numpy as np 3 | import pandas as pd 4 | import yaml 5 | import argparse 6 | import typing 7 | 8 | # create a function to read params from yaml files 9 | def read_params(config_path: str): 10 | """ 11 | Reads the parameters from the .yaml file 12 | input: params.yaml location 13 | output: paramaeters in a dictionary 14 | """ 15 | 16 | with open(config_path, 'r') as yaml_file: 17 | try: 18 | config = yaml.safe_load(yaml_file) 19 | except yaml.YAMLError as exc: 20 | print(exc) 21 | return config 22 | 23 | # create a function to read data from csv files 24 | def load_data(data_path: str, data_type = 'train', model_var: typing.List[str] = None): 25 | """ 26 | Reads the data from the .csv file from given path 27 | input: data_path, data_type 28 | output: data in a pandas dataframe 29 | """ 30 | if data_type == 'train': 31 | data = pd.read_csv(data_path, 32 | sep=',', 33 | encoding='utf-8') 34 | data = data[model_var] 35 | return data 36 | 37 | 38 | # create a function to load raw data from path 39 | def load_raw_data(config_path: str): 40 | """ 41 | Load datafrom external location (data/external) tp raw folder (data/raw) 42 | with train and test data 43 | input: data_path 44 | output: save file in data/raw folder 45 | """ 46 | config = read_params(config_path) 47 | external_data_path = config['external_data_config']['external_data_csv'] 48 | raw_data_path = config['raw_data_config']['raw_data_csv'] 49 | model_var = config['raw_data_config']['model_var'] 50 | 51 | df = load_data(data_path=external_data_path, 52 | data_type='train', 53 | model_var=model_var) 54 | df.to_csv(raw_data_path, index = False) 55 | 56 | 57 | if __name__ == '__main__': 58 | parser = argparse.ArgumentParser() 59 | parser.add_argument('--config', 60 | type=str, 61 | default='params.yaml') 62 | args = parser.parse_args() 63 | config_path = args.config 64 | load_raw_data(config_path) -------------------------------------------------------------------------------- /H2O_FastApi.py: -------------------------------------------------------------------------------- 1 | import pandas as pd 2 | import io 3 | import h2o 4 | import streamlit as st 5 | 6 | import mlflow 7 | import mlflow.h2o 8 | from mlflow.tracking import MlflowClient 9 | from mlflow.entities import ViewType 10 | 11 | h2o.init() 12 | client = MlflowClient() 13 | 14 | @st.cache() 15 | 16 | class NotANumber(Exception): 17 | def __init__(self, message = "Values entered are not Numerical"): 18 | self.message = message 19 | super().__init__(self.message) 20 | 21 | def predict(data): 22 | # Load best model 23 | exper_list = [ex.experiment_id for ex in client.list_experiments()] 24 | runs_list = mlflow.search_runs(experiment = exper_list, 25 | run_view_type = ViewType.ALL) 26 | 27 | run_id = runs_list.loc[runs_list['metrics.log_loss'].idxmin()]['run_id'] 28 | exp_id = runs_list.loc[runs_list['metrics.log_loss'].idxmin()]['experiment_id'] 29 | 30 | print(f'Best Model: Run {run_id} in Experiment {exp_id}') 31 | bst_mdl = mlflow.h2o.load_model(f'mlruns/{exp_id}/{run_id}/artifacts/best_model/model.h2o/') 32 | prediction = bst_mdl.predict(data).tolist()[0] 33 | return prediction 34 | 35 | def validate_input(dict_request): 36 | for _, val in dict_request.items(): 37 | try: 38 | val = float(val) 39 | except Exception as e: 40 | raise NotANumber 41 | 42 | return True 43 | 44 | def form_response(dict_request): 45 | try: 46 | if validate_input(dict_request): 47 | data = dict_request.values() 48 | data = [list(map(float, data))] 49 | response = predict(data) 50 | return response 51 | except: 52 | print('Not a Number') 53 | 54 | 55 | def main(): 56 | # front end elements of the web page 57 | html_temp = """ 58 |
59 |

Churn Prediction ML App

60 |
61 | """ 62 | 63 | # display the front end aspect 64 | st.markdown(html_temp, unsafe_allow_html = True) 65 | 66 | # following lines create boxes in which user can enter data required to make prediction 67 | vmail_msg = st.slider('Number vmail messages',min_value = 1, max_value = 30) 68 | tot_day_calls = st.slider('Total day calls',min_value = 1, max_value = 30) 69 | tot_eve_min = st.slider('Total eve minutes',min_value = 1, max_value = 30) 70 | tot_eve_chr = st.slider('Total eve charge',min_value = 1, max_value = 30) 71 | tot_int_min = st.slider('Total Intl minutes',min_value = 1, max_value = 30) 72 | cust_sev_calls = st.slider('Customer service calls',min_value = 1, max_value = 30) 73 | dict_request = {'vmail_msg': vmail_msg, 74 | 'tot_day_calls': tot_day_calls, 75 | 'tot_eve_min': tot_eve_min, 76 | 'tot_eve_chr': tot_eve_chr, 77 | 'tot_int_min': tot_int_min, 78 | 'cust_sev_calls': cust_sev_calls} 79 | result ="" 80 | 81 | # when 'Predict' is clicked, make the prediction and store it 82 | if st.button("Predict"): 83 | result = form_response(dict_request) 84 | st.success('Prediction is {}'.format(result)) 85 | 86 | if __name__=='__main__': 87 | main() -------------------------------------------------------------------------------- /mlruns/1/1ee10338cb4e46558a071830b7c68e5e/leaderboard.csv: -------------------------------------------------------------------------------- 1 | model_id,logloss,auc,aucpr,mean_per_class_error,rmse,mse,training_time_ms,predict_time_per_row_ms,algo 2 | StackedEnsemble_AllModels_3_AutoML_1_20211225_171543,0.3551900235872428,0.7362850619699934,0.3887982466926773,0.3313437703848663,0.3240970115263671,0.1050388728803221,266,0.082462,StackedEnsemble 3 | StackedEnsemble_BestOfFamily_2_AutoML_1_20211225_171543,0.3555461418664423,0.73489516354487,0.391256414271988,0.3355022831050228,0.3242435329904959,0.1051338686861588,250,0.014374,StackedEnsemble 4 | StackedEnsemble_BestOfFamily_3_AutoML_1_20211225_171543,0.355816976460058,0.7331888919951542,0.3853769391323992,0.3305609915198956,0.3245024221757207,0.1053018219979096,259,0.0156,StackedEnsemble 5 | StackedEnsemble_AllModels_4_AutoML_1_20211225_171543,0.3560493898863424,0.7337130742708042,0.3842667015110583,0.3396444879321592,0.324583559336439,0.1053544869915116,275,0.102846,StackedEnsemble 6 | StackedEnsemble_BestOfFamily_5_AutoML_1_20211225_171543,0.3570545927886397,0.7343430248811854,0.3842691702023441,0.3554631441617743,0.3254346938057428,0.1059077399324376,2356,0.017645,StackedEnsemble 7 | StackedEnsemble_AllModels_6_AutoML_1_20211225_171543,0.3570580386313743,0.7319718572360451,0.3832460634618377,0.3415525114155251,0.3251743039954778,0.1057383279789434,2491,0.055105,StackedEnsemble 8 | GBM_grid_1_AutoML_1_20211225_171543_model_1,0.3575602037873605,0.7358065417948001,0.3814114780415336,0.3257012393998695,0.3262002165603529,0.1064065812840211,158,0.009321,GBM 9 | StackedEnsemble_AllModels_2_AutoML_1_20211225_171543,0.360129491293794,0.7302571987699189,0.3587813689187081,0.3428408349641226,0.3273626946488015,0.1071663338477244,375,0.019731,StackedEnsemble 10 | StackedEnsemble_BestOfFamily_1_AutoML_1_20211225_171543,0.3608086926932769,0.7306057217407511,0.3561457238838651,0.334262883235486,0.3277185951974392,0.107399477638183,366,0.010607,StackedEnsemble 11 | StackedEnsemble_AllModels_1_AutoML_1_20211225_171543,0.3623831554482335,0.7236664802907464,0.3579374058547186,0.3365949119373776,0.328148869300597,0.1076816804232603,527,0.014133,StackedEnsemble 12 | GBM_1_AutoML_1_20211225_171543,0.3638726376440013,0.7253247600410027,0.3542320016496626,0.3342954990215264,0.3290116175884691,0.108248644508181,415,0.01123,GBM 13 | StackedEnsemble_AllModels_5_AutoML_1_20211225_171543,0.3659554261945872,0.7136608890131395,0.3610946283531352,0.3659165035877365,0.3286233774321196,0.1079933241948933,3781,0.066029,StackedEnsemble 14 | DeepLearning_grid_2_AutoML_1_20211225_171543_model_1,0.3688877139985869,0.6954845773926009,0.3583427471402906,0.3690313111545988,0.3292618455940493,0.1084133629639995,23403,0.014878,DeepLearning 15 | GBM_grid_1_AutoML_1_20211225_171543_model_2,0.3702293782494341,0.7034404994874662,0.3520583992000848,0.3612850619699934,0.3315315502492014,0.1099131688106387,160,0.012892,GBM 16 | GBM_2_AutoML_1_20211225_171543,0.3710705196177538,0.7073981921535738,0.3507242030220887,0.3512883235485975,0.3310933426771297,0.1096228015651152,164,0.007715,GBM 17 | StackedEnsemble_BestOfFamily_4_AutoML_1_20211225_171543,0.3759300623293511,0.6978361755661169,0.3237652851525184,0.3641878669275929,0.3338891659363482,0.1114819751296703,2690,0.01444,StackedEnsemble 18 | DeepLearning_grid_1_AutoML_1_20211225_171543_model_1,0.3766101699379807,0.7071559034572733,0.3496280954481415,0.342579908675799,0.3316740829794861,0.110007697320283,15814,0.005684,DeepLearning 19 | GBM_5_AutoML_1_20211225_171543,0.3773916827326068,0.6933044450656975,0.3236667906925943,0.3564579256360078,0.3346127747013958,0.111965708993367,149,0.006425,GBM 20 | GBM_3_AutoML_1_20211225_171543,0.3786125399575946,0.6987363712608331,0.3404033044016142,0.3682974559686889,0.333864022895908,0.1114651857842394,257,0.007805,GBM 21 | DeepLearning_1_AutoML_1_20211225_171543,0.3854039000067225,0.6893490820985928,0.3103926376572815,0.3760110893672538,0.3377258552434117,0.1140587532998938,380,0.006636,DeepLearning 22 | GBM_4_AutoML_1_20211225_171543,0.3914211238247366,0.6836809244245644,0.2905863387413039,0.367058056099152,0.3393706799379933,0.1151724584015759,196,0.007158,GBM 23 | -------------------------------------------------------------------------------- /train_model.py: -------------------------------------------------------------------------------- 1 | import json 2 | import yaml 3 | import joblib 4 | import mlflow 5 | import argparse 6 | import numpy as np 7 | import pandas as pd 8 | from urllib.parse import urlparse 9 | from sklearn.ensemble import RandomForestClassifier 10 | from sklearn.metrics import f1_score,recall_score,accuracy_score,precision_score,confusion_matrix,classification_report 11 | 12 | def read_params(config_path): 13 | """ 14 | read parameters from the params.yaml file 15 | input: params.yaml location 16 | output: parameters as dictionary 17 | """ 18 | with open(config_path) as yaml_file: 19 | config = yaml.safe_load(yaml_file) 20 | return config 21 | 22 | def accuracymeasures(y_test,predictions,avg_method): 23 | accuracy = accuracy_score(y_test, predictions) 24 | precision = precision_score(y_test, predictions, average=avg_method) 25 | recall = recall_score(y_test, predictions, average=avg_method) 26 | f1score = f1_score(y_test, predictions, average=avg_method) 27 | target_names = ['0','1'] 28 | print("Classification report") 29 | print("---------------------","\n") 30 | print(classification_report(y_test, predictions,target_names=target_names),"\n") 31 | print("Confusion Matrix") 32 | print("---------------------","\n") 33 | print(confusion_matrix(y_test, predictions),"\n") 34 | 35 | print("Accuracy Measures") 36 | print("---------------------","\n") 37 | print("Accuracy: ", accuracy) 38 | print("Precision: ", precision) 39 | print("Recall: ", recall) 40 | print("F1 Score: ", f1score) 41 | 42 | return accuracy,precision,recall,f1score 43 | 44 | def get_feat_and_target(df,target): 45 | """ 46 | Get features and target variables seperately from given dataframe and target 47 | input: dataframe and target column 48 | output: two dataframes for x and y 49 | """ 50 | x=df.drop(target,axis=1) 51 | y=df[[target]] 52 | return x,y 53 | 54 | def train_and_evaluate(config_path): 55 | config = read_params(config_path) 56 | train_data_path = config["processed_data_config"]["train_data_csv"] 57 | test_data_path = config["processed_data_config"]["test_data_csv"] 58 | target = config["raw_data_config"]["target"] 59 | max_depth=config["random_forest"]["max_depth"] 60 | n_estimators=config["random_forest"]["n_estimators"] 61 | 62 | train = pd.read_csv(train_data_path, sep=",") 63 | test = pd.read_csv(test_data_path, sep=",") 64 | train_x,train_y=get_feat_and_target(train,target) 65 | test_x,test_y=get_feat_and_target(test,target) 66 | 67 | ################### MLFLOW ############################### 68 | mlflow_config = config["mlflow_config"] 69 | remote_server_uri = mlflow_config["remote_server_uri"] 70 | 71 | mlflow.set_tracking_uri(remote_server_uri) 72 | mlflow.set_experiment(mlflow_config["experiment_name"]) 73 | 74 | with mlflow.start_run(run_name=mlflow_config["run_name"]) as mlops_run: 75 | model = RandomForestClassifier(max_depth=max_depth,n_estimators=n_estimators) 76 | model.fit(train_x, train_y) 77 | y_pred = model.predict(test_x) 78 | accuracy,precision,recall,f1score = accuracymeasures(test_y,y_pred,'weighted') 79 | 80 | mlflow.log_param("max_depth",max_depth) 81 | mlflow.log_param("n_estimators", n_estimators) 82 | 83 | mlflow.log_metric("accuracy", accuracy) 84 | mlflow.log_metric("precision", precision) 85 | mlflow.log_metric("recall", recall) 86 | mlflow.log_metric("f1_score", f1score) 87 | 88 | tracking_url_type_store = urlparse(mlflow.get_artifact_uri()).scheme 89 | 90 | if tracking_url_type_store != "file": 91 | mlflow.sklearn.log_model( 92 | model, 93 | "model", 94 | registered_model_name=mlflow_config["registered_model_name"]) 95 | else: 96 | mlflow.sklearn.load_model(model, "model") 97 | 98 | if __name__=="__main__": 99 | args = argparse.ArgumentParser() 100 | args.add_argument("--config", default="params.yaml") 101 | parsed_args = args.parse_args() 102 | train_and_evaluate(config_path=parsed_args.config) -------------------------------------------------------------------------------- /H2O_main.py: -------------------------------------------------------------------------------- 1 | import h2o 2 | from h2o.automl import H2OAutoML, get_leaderboard 3 | import argparse 4 | import yaml 5 | import json 6 | import mlflow 7 | import mlflow.h2o 8 | from mlflow.tracking import MlflowClient 9 | 10 | def parse_args(): 11 | """ 12 | Parse command line arguments 13 | """ 14 | parser = argparse.ArgumentParser(description="H2O AutoML") 15 | 16 | parser.add_argument("--config", 17 | default="params.yaml") 18 | return parser.parse_args() 19 | 20 | def read_params(config_path): 21 | """ 22 | read parameters from the params.yaml file 23 | input: params.yaml location 24 | output: parameters as dictionary 25 | """ 26 | with open(config_path) as yaml_file: 27 | config = yaml.safe_load(yaml_file) 28 | return config 29 | 30 | def main(): 31 | args = parse_args() 32 | 33 | h2o.init() 34 | client = MlflowClient() 35 | 36 | config = read_params(args.config) 37 | mlflow_config = config["mlflow_config"] 38 | 39 | # New experiment name for H2o experiment 40 | exp_name = mlflow_config["experiment_name_h2o"] 41 | 42 | # Crate experiment for MLFLOW 43 | try: 44 | experiment_id = mlflow.create_experiment(exp_name) 45 | experiment = client.get_experiment_by_name(exp_name) 46 | except: 47 | experiment = client.get_experiment_by_name(exp_name) 48 | 49 | mlflow.set_experiment(exp_name) 50 | 51 | print('Printing experiment Details ------------------------------------------------') 52 | print(f'Experiment Name: {exp_name}') 53 | print(f'Experiment ID: {experiment.experiment_id}') 54 | print(f'Artifact Location: {experiment.artifact_location}') 55 | print(f'Tracking URI: {mlflow.get_tracking_uri()}') 56 | 57 | # Importing data in H2O dataframe 58 | train_data_path = config["processed_data_config"]["train_data_csv"] 59 | test_data_path = config["processed_data_config"]["test_data_csv"] 60 | 61 | target = config["raw_data_config"]["target"] 62 | predictors = config["raw_data_config"]["model_var"] 63 | 64 | train = h2o.import_file(train_data_path) 65 | test = h2o.import_file(test_data_path) 66 | 67 | # Determine the shapes of train and test data 68 | print('Printing train and test data shapes ------------------------------------------------') 69 | print(f'Train data shape: {train.shape}') 70 | print(f'Test data shape: {test.shape}') 71 | 72 | # Column types dump for matching with test dataframe 73 | with open('data/processed/train_column_types.json', 'w') as f: 74 | json.dump(train.types, f) 75 | 76 | # Change target variable to factor 77 | train[target] = train[target].asfactor() 78 | 79 | ########################### MLFLOW ########################### 80 | with mlflow.start_run(run_name = mlflow_config['run_name_h2o']) as mlops_run: 81 | auto_ml = H2OAutoML( 82 | seed = mlflow_config['seed'], 83 | max_models = mlflow_config['max_models'], 84 | balance_classes = mlflow_config['balance_classes'], 85 | sort_metric = mlflow_config['sort_metric'], 86 | verbosity = mlflow_config['verbosity'], 87 | exclude_algos = mlflow_config['exclude_algos'] 88 | ) 89 | 90 | # Train the model 91 | auto_ml.train( 92 | x = predictors, 93 | y = target, 94 | training_frame = train) 95 | 96 | # Log the metrics 97 | mlflow.log_metric('log_loss', auto_ml.leader.logloss()) 98 | mlflow.log_metric('auc', auto_ml.leader.auc()) 99 | 100 | # Log best model 101 | mlflow.h2o.log_model(auto_ml.leader, "best_model") 102 | model_uri = mlflow.get_artifact_uri("best_model") 103 | 104 | print(f'Best model URI: {model_uri}') 105 | 106 | # Experiment run IDs 107 | exp_id = experiment.experiment_id 108 | run_id = mlflow.active_run().info.run_id 109 | 110 | # Save leaderboard to a CSV files 111 | leaderboard = get_leaderboard(auto_ml, extra_columns = 'ALL') 112 | leaderboard_path = f'mlruns/{exp_id}/{run_id}/leaderboard.csv' 113 | leaderboard.as_data_frame().to_csv(leaderboard_path, index = False) 114 | print(f'Leaderboard saved to {leaderboard_path}') 115 | 116 | if __name__ == '__main__': 117 | main() 118 | -------------------------------------------------------------------------------- /Prefect_main.py: -------------------------------------------------------------------------------- 1 | from prefect import Flow, task 2 | from typing import List, Dict, Any 3 | import prefect 4 | import pandas as pd 5 | from sklearn.model_selection import train_test_split 6 | from sklearn.ensemble import RandomForestClassifier 7 | from sklearn.metrics import f1_score,recall_score,accuracy_score,precision_score,confusion_matrix,classification_report 8 | 9 | @task 10 | def load_data(external_path: str, 11 | raw_data_path: str, 12 | model_var: List[str]): 13 | data = pd.read_csv(external_path, 14 | sep=',', 15 | encoding='utf-8') 16 | data = data[model_var] 17 | data.to_csv(raw_data_path, index=False) 18 | return None 19 | 20 | @task(nout=2) 21 | def split_data(raw_data_path: str, 22 | train_data_path: str, 23 | test_data_path: str, 24 | split_ratio: float, 25 | random_state): 26 | data = pd.read_csv(raw_data_path, 27 | sep=',', 28 | encoding='utf-8') 29 | data_train, data_test = train_test_split(data, 30 | test_size=split_ratio, 31 | random_state=random_state) 32 | data_train.to_csv(train_data_path, index=False) 33 | data_test.to_csv(test_data_path, index=False) 34 | return data_train, data_test 35 | 36 | @task(nout=2) 37 | def get_feat_and_target(df: pd.DataFrame, target: str): 38 | """ 39 | Get features and target variables seperately from given dataframe and target 40 | input: dataframe and target column 41 | output: two dataframes for x and y 42 | """ 43 | x=df.drop(target,axis=1) 44 | y=df[[target]] 45 | return x,y 46 | 47 | @task 48 | def train_model(X_train, y_train, 49 | X_test, y_test, 50 | model_type, 51 | max_depth, n_estimators): 52 | if model_type == "random_forest": 53 | model = RandomForestClassifier(max_depth=max_depth, 54 | n_estimators=n_estimators) 55 | model.fit(X_train, y_train) 56 | y_pred = model.predict(X_test) 57 | return y_pred 58 | 59 | @task(nout=4) 60 | def accuracymeasures(y_test,predictions,avg_method): 61 | accuracy = accuracy_score(y_test, predictions) 62 | precision = precision_score(y_test, predictions, average=avg_method) 63 | recall = recall_score(y_test, predictions, average=avg_method) 64 | f1score = f1_score(y_test, predictions, average=avg_method) 65 | target_names = ['0','1'] 66 | print("Classification report") 67 | print("---------------------","\n") 68 | print(classification_report(y_test, predictions,target_names=target_names),"\n") 69 | print("Confusion Matrix") 70 | print("---------------------","\n") 71 | print(confusion_matrix(y_test, predictions),"\n") 72 | 73 | print("Accuracy Measures") 74 | print("---------------------","\n") 75 | print("Accuracy: ", accuracy) 76 | print("Precision: ", precision) 77 | print("Recall: ", recall) 78 | print("F1 Score: ", f1score) 79 | 80 | return accuracy,precision,recall,f1score 81 | 82 | 83 | with Flow("Prefect_MLOps") as flow: 84 | 85 | external_path = 'data/external/train.csv' 86 | raw_data_path = 'data/raw/train.csv' 87 | model_var = ['churn','number_vmail_messages','total_day_calls','total_eve_minutes','total_eve_charge','total_intl_minutes','number_customer_service_calls'] 88 | target = 'churn' 89 | 90 | train_data_path = 'data/processed/train.csv' 91 | test_data_path = 'data/processed/test.csv' 92 | split_ratio = 0.3 93 | random_state = 42 94 | max_depth = 10 95 | n_estimators = 100 96 | 97 | load_data(external_path, raw_data_path, model_var) 98 | data_train, data_test = split_data(raw_data_path,train_data_path, test_data_path, split_ratio, random_state) 99 | 100 | x_train, y_train = get_feat_and_target(data_train, target) 101 | x_test, y_test = get_feat_and_target(data_test, target) 102 | 103 | y_pred = train_model(x_train, y_train, 104 | x_test, y_test, 105 | "random_forest", 106 | max_depth, n_estimators) 107 | accuracy,precision,recall,f1score = accuracymeasures(y_test, y_pred, 'weighted') 108 | 109 | #flow.run() 110 | flow.register(project_name="MLOps_run") 111 | -------------------------------------------------------------------------------- /src/data/preprocessors_bonus.py: -------------------------------------------------------------------------------- 1 | import numpy as np 2 | import pandas as pd 3 | from sklearn.base import BaseEstimator, TransformerMixin 4 | 5 | 6 | class MeanImputer(BaseEstimator, TransformerMixin): 7 | """Numerical missing value imputer.""" 8 | 9 | def __init__(self, variables): 10 | if not isinstance(variables, list): 11 | raise ValueError('variables should be a list') 12 | self.variables = variables 13 | 14 | def fit(self, X, y=None): 15 | # persist mean values in a dictionary 16 | self.imputer_dict_ = X[self.variables].mean().to_dict() 17 | return self 18 | 19 | def transform(self, X): 20 | X = X.copy() 21 | for feature in self.variables: 22 | X[feature].fillna(self.imputer_dict_[feature], 23 | inplace=True) 24 | return X 25 | 26 | 27 | 28 | class RareLabelCategoricalEncoder(BaseEstimator, TransformerMixin): 29 | """Groups infrequent categories into a single string""" 30 | 31 | def __init__(self, tol=0.05, variables): 32 | 33 | if not isinstance(variables, list): 34 | raise ValueError('variables should be a list') 35 | 36 | self.tol = tol 37 | self.variables = variables 38 | 39 | def fit(self, X, y=None): 40 | # persist frequent labels in dictionary 41 | self.encoder_dict_ = {} 42 | 43 | for var in self.variables: 44 | # the encoder will learn the most frequent categories 45 | t = pd.Series(X[var].value_counts(normalize=True) 46 | # frequent labels: 47 | self.encoder_dict_[var] = list(t[t >= self.tol].index) 48 | 49 | return self 50 | 51 | def transform(self, X): 52 | X = X.copy() 53 | for feature in self.variables: 54 | X[feature] = np.where( 55 | X[feature].isin(self.encoder_dict_[feature]), 56 | X[feature], "Rare") 57 | 58 | return X 59 | 60 | 61 | class CategoricalEncoder(BaseEstimator, TransformerMixin): 62 | """String to numbers categorical encoder.""" 63 | 64 | def __init__(self, variables): 65 | 66 | if not isinstance(variables, list): 67 | raise ValueError('variables should be a list') 68 | 69 | self.variables = variables 70 | 71 | def fit(self, X, y): 72 | temp = pd.concat([X, y], axis=1) 73 | temp.columns = list(X.columns) + ["target"] 74 | 75 | # persist transforming dictionary 76 | self.encoder_dict_ = {} 77 | 78 | for var in self.variables: 79 | t = temp.groupby([var])["target"].mean().sort_values(ascending=True).index 80 | self.encoder_dict_[var] = {k: i for i, k in enumerate(t, 0)} 81 | 82 | return self 83 | 84 | def transform(self, X): 85 | # encode labels 86 | X = X.copy() 87 | for feature in self.variables: 88 | X[feature] = X[feature].map(self.encoder_dict_[feature]) 89 | 90 | return X 91 | 92 | class TemporalVariableTransformer(BaseEstimator, TransformerMixin): 93 | # Temporal elapsed time transformer 94 | 95 | def __init__(self, variables, reference_variable): 96 | 97 | if not isinstance(variables, list): 98 | raise ValueError('variables should be a list') 99 | 100 | self.variables = variables 101 | self.reference_variable = reference_variable 102 | 103 | def fit(self, X, y=None): 104 | # we need this step to fit the sklearn pipeline 105 | return self 106 | 107 | def transform(self, X): 108 | 109 | # so that we do not over-write the original dataframe 110 | X = X.copy() 111 | 112 | for feature in self.variables: 113 | X[feature] = X[self.reference_variable] - X[feature] 114 | 115 | return X 116 | 117 | 118 | 119 | # categorical missing value imputer 120 | class Mapper(BaseEstimator, TransformerMixin): 121 | 122 | def __init__(self, variables, mappings): 123 | 124 | if not isinstance(variables, list): 125 | raise ValueError('variables should be a list') 126 | 127 | self.variables = variables 128 | self.mappings = mappings 129 | 130 | def fit(self, X, y=None): 131 | # we need the fit statement to accomodate the sklearn pipeline 132 | return self 133 | 134 | def transform(self, X): 135 | X = X.copy() 136 | for feature in self.variables: 137 | X[feature] = X[feature].map(self.mappings) 138 | 139 | return X -------------------------------------------------------------------------------- /data/processed/churn_test.csv: -------------------------------------------------------------------------------- 1 | state,account_length,area_code,international_plan,voice_mail_plan,number_vmail_messages,total_day_minutes,total_day_calls,total_day_charge,total_eve_minutes,total_eve_calls,total_eve_charge,total_night_minutes,total_night_calls,total_night_charge,total_intl_minutes,total_intl_calls,total_intl_charge,number_customer_service_calls,churn 2 | MS,120,area_code_408,no,no,0,212.1,131,36.06,209.4,104,17.8,167.2,96,7.52,5.3,5,1.43,1,yes 3 | WY,72,area_code_510,yes,no,0,274.0,75,46.58,162.8,110,13.84,110.0,121,4.95,7.7,3,2.08,4,no 4 | FL,202,area_code_415,no,no,0,168.9,88,28.71,235.8,98,20.04,273.2,108,12.29,14.6,3,3.94,3,no 5 | VA,139,area_code_510,no,yes,23,157.6,129,26.79,247.0,96,21.0,259.2,112,11.66,13.7,2,3.7,0,no 6 | NY,181,area_code_408,no,no,0,143.3,91,24.36,195.5,58,16.62,223.3,95,10.05,6.0,7,1.62,1,no 7 | OH,135,area_code_415,no,no,0,218.8,123,37.2,242.8,64,20.64,85.8,80,3.86,10.3,3,2.78,4,no 8 | DC,86,area_code_415,no,yes,29,189.3,107,32.18,221.3,101,18.81,325.6,137,14.65,13.8,3,3.73,1,no 9 | AL,131,area_code_415,no,no,0,234.0,117,39.78,209.4,143,17.8,258.8,105,11.65,9.8,3,2.65,1,no 10 | AK,100,area_code_415,no,yes,29,213.6,127,36.31,175.9,82,14.95,207.2,100,9.32,8.9,3,2.4,1,no 11 | NJ,100,area_code_415,no,no,0,203.8,122,34.65,283.1,76,24.06,197.3,83,8.88,12.5,3,3.38,0,no 12 | NY,108,area_code_415,no,yes,19,312.4,98,53.11,271.4,122,23.07,162.6,91,7.32,10.1,6,2.73,0,no 13 | WY,87,area_code_415,no,yes,22,263.8,65,44.85,103.4,115,8.79,208.1,109,9.36,8.5,3,2.3,3,no 14 | DE,97,area_code_510,no,no,0,225.1,90,38.27,279.5,127,23.76,233.8,103,10.52,8.8,4,2.38,0,yes 15 | NM,42,area_code_415,no,no,0,137.9,160,23.44,234.9,107,19.97,166.6,70,7.5,14.3,3,3.86,5,yes 16 | GA,111,area_code_415,no,no,0,129.1,92,21.95,148.9,132,12.66,264.0,103,11.88,16.8,7,4.54,2,no 17 | WY,71,area_code_415,no,no,0,243.7,124,41.43,60.0,90,5.1,189.0,129,8.5,11.3,2,3.05,0,no 18 | HI,169,area_code_415,no,no,0,179.2,111,30.46,175.2,130,14.89,228.6,92,10.29,9.9,6,2.67,2,no 19 | UT,81,area_code_510,no,no,0,154.5,84,26.27,216.2,91,18.38,229.8,82,10.34,13.7,3,3.7,1,no 20 | MA,132,area_code_415,no,no,0,138.7,101,23.58,257.5,85,21.89,165.6,92,7.45,7.8,1,2.11,2,no 21 | TN,163,area_code_510,no,no,0,277.7,118,47.21,115.3,91,9.8,170.3,90,7.66,10.4,8,2.81,0,no 22 | ME,92,area_code_415,yes,no,0,130.7,113,22.22,260.6,122,22.15,244.2,98,10.99,9.4,2,2.54,2,yes 23 | CT,137,area_code_415,no,no,0,115.0,130,19.55,137.8,83,11.71,224.0,61,10.08,7.3,4,1.97,3,no 24 | NY,122,area_code_415,no,yes,37,163.0,107,27.71,312.8,118,26.59,200.0,85,9.0,11.6,5,3.13,1,no 25 | OR,82,area_code_415,no,yes,19,146.5,73,24.91,246.4,65,20.94,199.0,114,8.96,4.1,4,1.11,1,no 26 | ME,56,area_code_408,no,no,0,221.9,112,37.72,278.2,122,23.65,288.1,85,12.96,7.1,5,1.92,0,yes 27 | NC,127,area_code_415,no,yes,25,82.2,95,13.97,163.3,109,13.88,264.9,104,11.92,5.1,6,1.38,0,no 28 | MI,91,area_code_408,no,no,0,134.7,116,22.9,295.3,98,25.1,195.5,121,8.8,6.6,5,1.78,2,no 29 | MI,133,area_code_415,no,no,0,165.9,98,28.2,161.9,110,13.76,208.9,120,9.4,11.2,11,3.02,2,no 30 | UT,73,area_code_415,no,no,0,182.3,115,30.99,199.2,97,16.93,120.2,113,5.41,18.0,5,4.86,1,no 31 | MN,109,area_code_408,no,no,0,162.6,138,27.64,154.0,109,13.09,209.7,118,9.44,11.5,4,3.11,0,no 32 | AR,96,area_code_415,no,yes,21,247.6,95,42.09,256.3,150,21.79,158.6,72,7.14,10.8,6,2.92,2,no 33 | ND,55,area_code_415,no,no,0,180.1,77,30.62,235.5,98,20.02,169.4,104,7.62,11.1,2,3.0,0,no 34 | MN,113,area_code_408,no,no,0,198.6,115,33.76,258.0,106,21.93,245.8,104,11.06,10.2,6,2.75,1,yes 35 | CA,142,area_code_415,no,no,0,108.1,81,18.38,146.9,115,12.49,197.6,84,8.89,9.0,7,2.43,1,no 36 | OR,37,area_code_408,no,no,0,257.3,117,43.74,134.5,92,11.43,306.2,102,13.78,8.2,5,2.21,3,no 37 | MI,55,area_code_415,no,yes,20,207.7,91,35.31,199.7,113,16.97,216.5,110,9.74,7.3,1,1.97,1,no 38 | OK,149,area_code_510,yes,no,0,180.9,79,30.75,194.9,83,16.57,197.8,109,8.9,8.8,9,2.38,3,no 39 | FL,120,area_code_415,no,yes,31,153.5,83,26.1,219.1,96,18.62,237.4,76,10.68,11.4,4,3.08,0,no 40 | TX,98,area_code_408,no,yes,19,110.5,87,18.79,227.8,97,19.36,243.6,84,10.96,11.0,4,2.97,1,no 41 | NE,149,area_code_415,no,no,0,156.0,56,26.52,56.0,116,4.76,163.3,104,7.35,8.9,8,2.4,0,no 42 | CT,74,area_code_408,no,no,0,157.1,95,26.71,213.1,36,18.11,280.4,77,12.62,7.6,3,2.05,2,no 43 | NE,86,area_code_408,no,no,0,83.8,121,14.25,240.2,96,20.42,158.6,108,7.14,6.7,8,1.81,1,no 44 | TX,104,area_code_510,no,no,0,111.9,105,19.02,197.7,121,16.8,302.8,108,13.63,10.1,5,2.73,1,no 45 | AL,116,area_code_408,no,no,0,133.8,88,22.75,177.1,103,15.05,185.2,106,8.33,12.4,4,3.35,2,no 46 | AZ,60,area_code_415,no,no,0,98.2,88,16.69,180.5,69,15.34,223.6,69,10.06,9.3,2,2.51,2,no 47 | IA,197,area_code_415,no,no,0,233.9,96,39.76,218.9,111,18.61,182.9,109,8.23,9.5,3,2.57,0,no 48 | IN,141,area_code_415,no,yes,39,116.9,127,19.87,276.5,88,23.5,289.9,125,13.05,12.3,2,3.32,0,no 49 | AR,80,area_code_415,no,yes,34,243.4,96,41.38,102.3,115,8.7,217.8,95,9.8,12.2,3,3.29,1,no 50 | OH,43,area_code_510,no,yes,39,188.3,108,32.01,167.6,116,14.25,189.9,92,8.55,15.6,5,4.21,1,no 51 | AZ,127,area_code_415,no,yes,14,143.2,99,24.34,169.9,91,14.44,221.6,77,9.97,11.6,1,3.13,1,no 52 | AZ,73,area_code_415,no,no,0,175.4,130,29.82,248.1,105,21.09,122.4,85,5.51,12.2,4,3.29,0,no 53 | AK,78,area_code_408,no,no,0,225.1,67,38.27,199.2,127,16.93,175.5,102,7.9,14.6,2,3.94,0,no 54 | MN,139,area_code_510,no,no,0,134.4,106,22.85,211.3,98,17.96,193.6,125,8.71,10.2,2,2.75,5,yes 55 | RI,132,area_code_415,yes,yes,18,130.7,86,22.22,186.1,98,15.82,204.8,103,9.22,11.9,6,3.21,0,no 56 | TX,121,area_code_415,no,no,0,86.1,100,14.64,259.8,113,22.08,148.0,79,6.66,9.1,9,2.46,2,no 57 | MS,115,area_code_415,no,no,0,166.5,111,28.31,236.2,98,20.08,205.6,92,9.25,15.6,2,4.21,1,no 58 | IL,70,area_code_408,no,no,0,176.5,85,30.01,119.2,93,10.13,227.7,90,10.25,8.7,5,2.35,1,no 59 | PA,69,area_code_415,no,no,0,228.2,70,38.79,263.7,80,22.41,142.6,60,6.42,10.7,5,2.89,3,no 60 | IN,110,area_code_415,no,no,0,151.8,106,25.81,138.0,126,11.73,233.5,112,10.51,11.2,8,3.02,3,no 61 | GA,122,area_code_408,no,no,0,93.3,109,15.86,214.4,104,18.22,176.7,104,7.95,12.1,2,3.27,0,no 62 | MI,86,area_code_408,no,no,0,148.2,71,25.19,285.1,91,24.23,166.4,155,7.49,6.2,3,1.67,2,no 63 | KS,36,area_code_510,no,no,0,178.6,83,30.36,213.1,103,18.11,198.0,119,8.91,10.9,5,2.94,1,no 64 | ID,130,area_code_510,no,no,0,140.9,68,23.95,217.5,109,18.49,123.6,96,5.56,13.6,4,3.67,3,no 65 | MS,120,area_code_415,no,no,0,112.6,80,19.14,124.4,86,10.57,234.9,88,10.57,8.1,3,2.19,6,yes 66 | OK,146,area_code_510,no,no,0,138.4,104,23.53,158.9,122,13.51,47.4,73,2.13,3.9,9,1.05,4,yes 67 | NH,97,area_code_408,no,yes,28,283.1,93,48.13,185.4,98,15.76,312.8,78,14.08,6.1,8,1.65,1,no 68 | AR,68,area_code_510,no,no,0,172.7,95,29.36,139.1,90,11.82,174.3,99,7.84,11.7,1,3.16,2,no 69 | IA,100,area_code_408,no,no,0,210.9,85,35.85,329.3,69,27.99,127.1,78,5.72,9.4,5,2.54,4,no 70 | IL,58,area_code_415,yes,yes,43,142.8,96,24.28,272.3,100,23.15,193.4,105,8.7,8.9,4,2.4,1,no 71 | KY,64,area_code_415,yes,no,0,146.7,83,24.94,148.3,91,12.61,238.6,69,10.74,12.5,3,3.38,3,no 72 | WA,130,area_code_510,no,no,0,124.3,70,21.13,270.7,99,23.01,239.5,83,10.78,3.5,6,0.95,0,no 73 | UT,61,area_code_408,no,yes,25,163.7,78,27.83,113.2,112,9.62,134.1,118,6.03,9.9,3,2.67,3,no 74 | GA,80,area_code_408,no,no,0,142.9,70,24.29,221.6,83,18.84,121.4,111,5.46,15.2,4,4.1,1,no 75 | IA,130,area_code_510,no,no,0,139.1,72,23.65,246.0,112,20.91,207.2,121,9.32,11.4,9,3.08,5,no 76 | DC,73,area_code_408,no,no,0,122.0,92,20.74,138.3,114,11.76,224.2,128,10.09,5.8,5,1.57,1,no 77 | WI,49,area_code_408,no,no,0,260.9,88,44.35,174.2,103,14.81,262.8,98,11.83,10.6,4,2.86,1,no 78 | MA,85,area_code_415,no,no,0,274.7,79,46.7,119.4,122,10.15,296.9,74,13.36,9.4,10,2.54,1,no 79 | AL,42,area_code_415,no,yes,21,125.5,67,21.34,166.7,90,14.17,227.1,97,10.22,11.0,1,2.97,2,no 80 | MN,68,area_code_510,no,no,0,226.7,94,38.54,168.4,129,14.31,188.7,117,8.49,10.2,1,2.75,0,no 81 | TX,169,area_code_408,no,no,0,266.7,105,45.34,158.2,88,13.45,287.7,111,12.95,13.8,3,3.73,3,yes 82 | VT,85,area_code_415,no,no,0,176.4,122,29.99,224.9,123,19.12,219.6,50,9.88,11.5,1,3.11,1,no 83 | OH,52,area_code_408,no,yes,31,142.1,77,24.16,193.0,97,16.41,253.4,88,11.4,11.0,4,2.97,1,no 84 | ID,99,area_code_415,no,no,0,201.5,103,34.26,124.2,120,10.56,239.9,56,10.8,11.5,3,3.11,0,no 85 | WI,92,area_code_408,yes,no,0,183.6,96,31.21,149.7,55,12.72,135.2,71,6.08,11.8,4,3.19,0,no 86 | AR,127,area_code_415,no,yes,27,157.6,107,26.79,280.6,49,23.85,75.1,77,3.38,8.0,4,2.16,1,no 87 | OH,146,area_code_415,no,no,0,169.5,93,28.82,230.9,71,19.63,269.8,115,12.14,9.0,7,2.43,2,no 88 | NV,130,area_code_510,no,no,0,154.2,119,26.21,110.2,98,9.37,227.4,117,10.23,9.2,5,2.48,2,no 89 | IL,68,area_code_415,no,no,0,134.6,73,22.88,206.8,117,17.58,138.4,104,6.23,9.4,2,2.54,2,no 90 | OK,89,area_code_510,no,no,0,303.9,95,51.66,260.9,114,22.18,312.1,89,14.04,5.3,3,1.43,1,yes 91 | CO,89,area_code_415,no,no,0,179.7,128,30.55,299.8,92,25.48,185.3,120,8.34,7.6,3,2.05,1,no 92 | MS,162,area_code_415,yes,no,0,172.1,138,29.26,165.9,93,14.1,279.0,81,12.56,9.2,6,2.48,2,no 93 | SC,104,area_code_415,no,no,0,109.1,141,18.55,187.1,140,15.9,216.6,100,9.75,10.0,4,2.7,3,no 94 | MI,52,area_code_415,no,no,0,204.4,97,34.75,273.2,128,23.22,179.6,118,8.08,11.0,5,2.97,1,no 95 | AZ,130,area_code_415,no,no,0,183.0,112,31.11,72.9,99,6.2,181.8,78,8.18,9.5,19,2.57,0,no 96 | OH,78,area_code_415,no,yes,27,121.9,88,20.72,225.4,75,19.16,90.8,118,4.09,13.0,4,3.51,3,no 97 | AR,132,area_code_415,no,no,0,99.0,126,16.83,189.4,76,16.1,156.3,108,7.03,8.4,3,2.27,1,no 98 | ID,82,area_code_510,no,yes,34,232.6,121,39.54,153.2,115,13.02,286.7,77,12.9,4.7,3,1.27,3,no 99 | HI,190,area_code_408,no,no,0,150.9,86,25.65,268.6,129,22.83,179.9,73,8.1,14.7,1,3.97,1,no 100 | AR,33,area_code_415,yes,no,0,164.0,99,27.88,153.1,102,13.01,123.8,104,5.57,6.4,4,1.73,0,no 101 | DC,91,area_code_415,no,yes,39,169.8,105,28.87,65.2,116,5.54,144.4,92,6.5,10.9,4,2.94,1,no 102 | ME,57,area_code_415,no,no,0,221.1,101,37.59,236.7,65,20.12,252.3,137,11.35,9.5,1,2.57,0,no 103 | VT,46,area_code_408,no,no,0,196.7,85,33.44,205.9,74,17.5,216.6,112,9.75,11.2,5,3.02,3,no 104 | ID,99,area_code_415,no,no,0,145.6,106,24.75,98.3,106,8.36,230.8,83,10.39,10.9,5,2.94,1,no 105 | NE,31,area_code_415,no,no,0,97.5,129,16.58,260.4,78,22.13,88.7,100,3.99,7.0,5,1.89,1,no 106 | WI,90,area_code_415,no,no,0,200.9,92,34.15,164.3,91,13.97,249.0,98,11.21,8.9,7,2.4,1,no 107 | NH,121,area_code_510,no,yes,35,193.8,62,32.95,197.6,97,16.8,218.8,95,9.85,5.9,4,1.59,0,no 108 | ID,43,area_code_415,no,yes,36,93.1,68,15.83,246.1,83,20.92,94.9,109,4.27,8.7,8,2.35,1,no 109 | LA,162,area_code_510,no,yes,33,184.5,139,31.37,183.2,78,15.57,127.4,106,5.73,12.3,6,3.32,0,no 110 | OK,134,area_code_415,no,no,0,164.9,115,28.03,126.5,96,10.75,238.5,125,10.73,10.0,9,2.7,2,no 111 | IN,52,area_code_415,no,no,0,165.9,122,28.2,212.2,107,18.04,202.1,94,9.09,8.3,3,2.24,1,no 112 | MT,64,area_code_415,no,yes,18,211.4,111,35.94,150.8,67,12.82,216.5,87,9.74,10.5,2,2.84,2,no 113 | WY,97,area_code_510,yes,no,0,236.9,107,40.27,157.6,105,13.4,241.0,120,10.85,7.3,2,1.97,0,yes 114 | AR,103,area_code_415,no,yes,31,185.4,105,31.52,197.6,126,16.8,147.1,110,6.62,14.5,4,3.92,2,no 115 | PA,61,area_code_408,no,yes,40,105.0,78,17.85,180.6,100,15.35,174.1,115,7.83,10.2,2,2.75,2,yes 116 | NE,135,area_code_415,no,no,0,181.8,92,30.91,159.6,63,13.57,232.4,78,10.46,7.0,6,1.89,0,no 117 | MA,56,area_code_510,no,no,0,253.2,95,43.04,188.0,116,15.98,142.0,133,6.39,4.4,4,1.19,1,no 118 | UT,86,area_code_510,yes,yes,41,225.5,95,38.34,229.3,101,19.49,134.0,82,6.03,11.6,10,3.13,2,no 119 | AR,122,area_code_415,yes,no,0,146.3,117,24.87,218.7,93,18.59,236.0,97,10.62,11.5,5,3.11,1,no 120 | DC,65,area_code_408,no,no,0,244.5,72,41.57,206.2,88,17.53,299.8,110,13.49,7.6,1,2.05,5,yes 121 | MD,90,area_code_415,no,no,0,114.4,122,19.45,127.7,154,10.85,253.1,109,11.39,10.1,5,2.73,2,no 122 | MN,142,area_code_510,no,yes,40,237.4,105,40.36,175.9,93,14.95,210.3,110,9.46,9.2,3,2.48,3,no 123 | KY,155,area_code_510,no,no,0,184.6,102,31.38,196.0,117,16.66,226.5,122,10.19,7.8,1,2.11,1,no 124 | VA,75,area_code_415,no,no,0,224.7,116,38.2,192.0,79,16.32,212.2,98,9.55,11.3,11,3.05,3,no 125 | NH,88,area_code_415,no,no,0,202.2,86,34.37,216.8,93,18.43,239.4,99,10.77,11.8,2,3.19,2,no 126 | NM,68,area_code_408,no,no,0,131.6,89,22.37,137.0,109,11.65,256.3,107,11.53,10.2,5,2.75,3,no 127 | OR,170,area_code_408,no,yes,22,173.6,66,29.51,142.2,83,12.09,156.5,93,7.04,5.2,3,1.4,1,no 128 | AZ,90,area_code_415,no,no,0,179.1,71,30.45,190.6,81,16.2,127.7,91,5.75,10.6,7,2.86,3,no 129 | WV,94,area_code_510,yes,yes,23,197.1,125,33.51,214.5,136,18.23,282.2,103,12.7,9.5,5,2.57,4,no 130 | DE,109,area_code_415,yes,yes,36,244.2,147,41.51,199.7,65,16.97,144.4,109,6.5,15.4,3,4.16,2,yes 131 | WV,82,area_code_408,no,no,0,143.7,116,24.43,170.7,99,14.51,287.7,95,12.95,7.8,5,2.11,1,no 132 | DE,87,area_code_510,no,no,0,256.2,105,43.55,160.7,102,13.66,249.4,80,11.22,7.4,2,2.0,4,no 133 | IL,71,area_code_415,no,no,0,207.0,112,35.19,173.8,96,14.77,178.4,61,8.03,12.1,3,3.27,1,no 134 | AL,136,area_code_510,no,no,0,109.4,91,18.6,207.5,111,17.64,135.0,107,6.08,11.6,5,3.13,0,no 135 | NE,189,area_code_415,no,yes,38,256.7,98,43.64,150.5,120,12.79,123.0,87,5.54,11.4,3,3.08,3,no 136 | VT,72,area_code_415,no,yes,21,138.1,113,23.48,260.1,83,22.11,135.4,118,6.09,8.2,2,2.21,2,no 137 | DC,101,area_code_415,no,no,0,257.3,84,43.74,184.8,115,15.71,108.9,109,4.9,13.5,7,3.65,0,no 138 | MS,45,area_code_415,no,yes,18,168.0,127,28.56,155.5,76,13.22,152.7,127,6.87,11.8,5,3.19,0,no 139 | FL,109,area_code_408,no,no,0,217.0,115,36.89,207.0,142,17.6,268.0,106,12.06,8.2,4,2.21,1,no 140 | KY,122,area_code_415,no,no,0,128.9,136,21.91,244.4,133,20.77,148.7,133,6.69,10.7,5,2.89,0,no 141 | MI,79,area_code_510,no,no,0,220.9,107,37.55,192.2,97,16.34,161.0,74,7.25,12.2,2,3.29,1,no 142 | TN,112,area_code_415,no,no,0,272.5,119,46.33,226.1,94,19.22,159.1,94,7.16,16.4,5,4.43,3,yes 143 | UT,95,area_code_415,no,no,0,157.9,103,26.84,259.6,90,22.07,230.0,117,10.35,14.0,2,3.78,0,no 144 | LA,108,area_code_415,no,no,0,157.3,83,26.74,162.8,75,13.84,112.0,101,5.04,9.7,4,2.62,1,no 145 | MN,79,area_code_510,no,no,0,121.3,112,20.62,282.8,107,24.04,123.1,83,5.54,7.4,4,2.0,1,no 146 | ID,82,area_code_408,no,no,0,101.0,93,17.17,155.6,104,13.23,304.4,93,13.7,13.3,2,3.59,0,no 147 | OR,48,area_code_415,no,no,0,190.4,92,32.37,317.5,85,26.99,133.4,113,6.0,8.3,4,2.24,2,no 148 | UT,82,area_code_510,yes,no,0,208.8,101,35.5,213.7,87,18.16,175.1,86,7.88,12.4,6,3.35,3,no 149 | IL,66,area_code_415,no,yes,31,163.2,106,27.74,267.9,108,22.77,172.6,100,7.77,9.7,5,2.62,1,no 150 | ME,104,area_code_415,no,no,0,246.4,108,41.89,205.5,102,17.47,208.1,125,9.36,14.1,8,3.81,2,no 151 | MI,116,area_code_408,no,no,0,133.3,94,22.66,247.8,126,21.06,219.0,78,9.86,11.3,5,3.05,5,yes 152 | SD,93,area_code_415,no,no,0,176.1,103,29.94,199.7,130,16.97,263.9,96,11.88,8.5,6,2.3,2,no 153 | NE,100,area_code_415,no,no,0,220.3,106,37.45,126.1,124,10.72,242.0,67,10.89,10.2,1,2.75,3,no 154 | WV,161,area_code_415,no,no,0,159.6,102,27.13,212.6,119,18.07,151.4,83,6.81,12.6,7,3.4,5,yes 155 | NC,104,area_code_415,no,yes,18,182.1,66,30.96,213.6,65,18.16,193.0,108,8.69,13.4,9,3.62,2,no 156 | ID,130,area_code_415,no,no,0,139.0,98,23.63,120.2,116,10.22,160.4,113,7.22,14.5,2,3.92,3,no 157 | IA,121,area_code_415,no,no,0,273.8,96,46.55,263.1,106,22.36,201.5,83,9.07,10.8,3,2.92,1,yes 158 | IN,35,area_code_510,no,yes,23,194.6,106,33.08,199.8,132,16.98,189.6,88,8.53,10.1,7,2.73,4,no 159 | WY,113,area_code_510,no,no,0,155.0,93,26.35,330.6,106,28.1,189.4,123,8.52,13.5,3,3.65,1,no 160 | MA,117,area_code_408,no,no,0,302.6,83,51.44,167.1,106,14.2,209.8,79,9.44,10.4,7,2.81,1,yes 161 | MS,38,area_code_415,no,yes,25,142.4,106,24.21,313.7,109,26.66,126.6,117,5.7,13.4,6,3.62,2,no 162 | SD,221,area_code_510,no,yes,24,180.5,85,30.69,224.1,92,19.05,205.7,103,9.26,2.4,3,0.65,0,no 163 | MN,122,area_code_415,no,no,0,107.9,88,18.34,235.8,109,20.04,228.6,119,10.29,9.5,3,2.57,2,no 164 | TX,138,area_code_415,no,no,0,217.2,73,36.92,190.8,127,16.22,133.5,97,6.01,5.2,3,1.4,4,no 165 | KS,110,area_code_415,yes,no,0,293.3,79,49.86,188.5,90,16.02,266.9,91,12.01,14.5,4,3.92,0,yes 166 | ND,118,area_code_408,no,no,0,224.6,94,38.18,225.9,120,19.2,269.0,105,12.11,12.5,8,3.38,2,no 167 | WY,68,area_code_510,no,no,0,195.4,116,33.22,212.1,101,18.03,138.4,134,6.23,15.1,11,4.08,1,no 168 | IN,75,area_code_510,no,yes,17,200.7,107,34.12,212.5,109,18.06,204.0,136,9.18,12.9,3,3.48,4,no 169 | UT,61,area_code_415,yes,yes,29,128.2,119,21.79,171.7,83,14.59,250.9,114,11.29,11.7,6,3.16,3,no 170 | OH,135,area_code_510,no,no,0,112.7,123,19.16,280.0,90,23.8,251.9,110,11.34,10.4,2,2.81,0,no 171 | MA,71,area_code_510,no,no,0,290.4,108,49.37,253.9,92,21.58,263.3,126,11.85,10.1,5,2.73,3,yes 172 | WY,159,area_code_415,no,no,0,167.4,68,28.46,143.8,74,12.22,140.1,111,6.3,10.3,3,2.78,0,yes 173 | DC,108,area_code_510,yes,yes,36,153.8,105,26.15,246.2,62,20.93,150.9,125,6.79,11.1,4,3.0,1,no 174 | NH,67,area_code_415,no,yes,40,104.9,65,17.83,216.3,93,18.39,217.4,128,9.78,9.6,9,2.59,1,no 175 | MD,74,area_code_415,no,no,0,155.7,116,26.47,173.7,63,14.76,257.4,97,11.58,8.1,4,2.19,0,no 176 | NY,112,area_code_415,no,yes,17,120.0,94,20.4,79.5,104,6.76,214.0,94,9.63,8.7,1,2.35,1,no 177 | VT,57,area_code_415,no,no,0,166.4,114,28.29,76.8,119,6.53,260.1,77,11.7,10.9,3,2.94,3,no 178 | NJ,107,area_code_510,no,no,0,156.3,75,26.57,215.3,93,18.3,118.2,115,5.32,8.8,2,2.38,1,no 179 | AL,100,area_code_415,no,yes,26,197.7,80,33.61,232.6,83,19.77,196.7,120,8.85,12.0,5,3.24,1,no 180 | CT,77,area_code_415,no,no,0,221.8,84,37.71,166.0,125,14.11,210.2,72,9.46,13.2,4,3.56,1,no 181 | WV,78,area_code_408,no,no,0,226.3,88,38.47,306.2,81,26.03,200.9,120,9.04,7.8,11,2.11,1,yes 182 | MN,178,area_code_510,no,no,0,225.4,104,38.32,110.7,90,9.41,134.1,109,6.03,15.3,5,4.13,2,yes 183 | IL,66,area_code_415,no,yes,21,134.4,110,22.85,136.2,104,11.58,215.6,105,9.7,9.7,4,2.62,3,no 184 | IN,68,area_code_510,no,no,0,249.9,127,42.48,254.5,118,21.63,273.2,98,12.29,8.9,6,2.4,2,yes 185 | MT,103,area_code_510,no,yes,35,110.5,101,18.79,208.3,81,17.71,87.4,77,3.93,13.9,2,3.75,4,yes 186 | MN,161,area_code_408,no,no,0,252.3,120,42.89,243.8,98,20.72,284.4,96,12.8,9.2,2,2.48,1,yes 187 | SC,79,area_code_415,no,no,0,134.7,98,22.9,189.7,68,16.12,221.4,128,9.96,11.8,5,3.19,2,no 188 | WI,89,area_code_415,no,no,0,326.3,112,55.47,165.1,110,14.03,162.9,97,7.33,7.5,1,2.03,1,yes 189 | NH,93,area_code_408,no,no,0,179.3,93,30.48,188.8,65,16.05,253.2,88,11.39,12.1,5,3.27,1,no 190 | NM,117,area_code_415,no,no,0,143.3,103,24.36,211.3,108,17.96,185.2,96,8.33,11.5,3,3.11,1,no 191 | ME,146,area_code_415,no,no,0,174.3,113,29.63,200.7,107,17.06,281.2,145,12.65,11.6,3,3.13,4,no 192 | SD,91,area_code_415,no,no,0,153.0,123,26.01,141.1,127,11.99,171.5,76,7.72,10.3,15,2.78,1,yes 193 | OR,1,area_code_415,no,no,0,195.0,81,33.15,266.2,123,22.63,213.9,132,9.63,11.1,6,3.0,0,no 194 | CT,15,area_code_415,no,no,0,185.1,103,31.47,193.8,148,16.47,305.2,79,13.73,13.2,6,3.56,5,no 195 | WY,44,area_code_415,no,yes,20,184.8,105,31.42,195.0,169,16.58,130.1,121,5.85,11.6,3,3.13,1,no 196 | OH,125,area_code_408,no,no,0,106.1,95,18.04,157.6,113,13.4,192.5,69,8.66,8.1,3,2.19,1,no 197 | UT,139,area_code_510,no,no,0,258.7,94,43.98,190.3,132,16.18,247.2,73,11.12,11.4,2,3.08,1,yes 198 | WI,73,area_code_415,no,no,0,214.2,90,36.41,196.8,78,16.73,157.9,112,7.11,5.9,8,1.59,0,no 199 | IN,88,area_code_415,no,no,0,82.7,94,14.06,157.5,130,13.39,205.9,81,9.27,10.6,4,2.86,0,yes 200 | NH,114,area_code_510,yes,yes,28,136.4,93,23.19,170.0,90,14.45,191.5,73,8.62,14.6,4,3.94,2,yes 201 | KS,67,area_code_510,no,no,0,129.0,78,21.93,188.0,116,15.98,235.0,102,10.58,11.2,3,3.02,2,no 202 | TX,149,area_code_510,no,no,0,221.4,95,37.64,198.7,63,16.89,106.2,70,4.78,10.0,3,2.7,1,no 203 | NE,95,area_code_510,no,no,0,58.2,96,9.89,202.1,126,17.18,210.5,97,9.47,10.4,5,2.81,0,no 204 | MO,103,area_code_408,no,yes,24,111.8,85,19.01,239.6,102,20.37,268.3,81,12.07,6.9,4,1.86,1,no 205 | MS,73,area_code_415,no,yes,31,82.3,105,13.99,256.1,91,21.77,229.6,98,10.33,11.8,2,3.19,6,yes 206 | PA,72,area_code_415,no,no,0,180.0,109,30.6,292.7,96,24.88,194.9,114,8.77,10.8,4,2.92,0,no 207 | NV,77,area_code_415,no,no,0,239.2,114,40.66,150.0,115,12.75,160.8,81,7.24,10.3,2,2.78,5,no 208 | SC,108,area_code_415,no,no,0,112.0,105,19.04,193.7,110,16.46,208.9,93,9.4,4.1,4,1.11,4,yes 209 | LA,140,area_code_415,no,yes,27,176.0,141,29.92,201.3,143,17.11,167.9,93,7.56,7.1,5,1.92,3,no 210 | MA,102,area_code_510,no,no,0,143.7,82,24.43,170.9,83,14.53,310.9,112,13.99,9.8,1,2.65,2,no 211 | OH,123,area_code_510,no,no,0,222.4,90,37.81,286.3,104,24.34,300.8,95,13.54,9.9,3,2.67,2,yes 212 | MN,157,area_code_510,no,no,0,185.1,92,31.47,213.0,85,18.11,196.1,85,8.82,8.5,5,2.3,2,no 213 | RI,39,area_code_408,no,no,0,93.3,83,15.86,199.6,114,16.97,206.2,104,9.28,6.5,4,1.76,0,no 214 | WY,25,area_code_408,no,no,0,199.2,80,33.86,123.2,84,10.47,82.3,77,3.7,9.6,4,2.59,2,no 215 | IL,85,area_code_415,no,yes,29,144.6,97,24.58,140.0,102,11.9,165.4,148,7.44,10.9,3,2.94,1,no 216 | VT,94,area_code_408,no,no,0,118.7,90,20.18,205.1,57,17.43,172.2,100,7.75,10.4,6,2.81,3,no 217 | NC,155,area_code_408,no,no,0,262.4,55,44.61,194.6,113,16.54,146.5,85,6.59,8.3,6,2.24,2,no 218 | IN,108,area_code_415,no,no,0,199.3,104,33.88,224.2,92,19.06,140.1,57,6.3,15.2,2,4.1,0,no 219 | HI,232,area_code_415,no,no,0,248.2,128,42.19,211.2,96,17.95,147.1,117,6.62,10.0,6,2.7,2,no 220 | MS,102,area_code_510,yes,no,0,224.2,81,38.11,243.3,90,20.68,147.8,66,6.65,12.0,8,3.24,3,no 221 | UT,112,area_code_415,no,no,0,115.8,108,19.69,243.3,111,20.68,184.6,78,8.31,13.1,5,3.54,1,no 222 | NY,65,area_code_510,no,no,0,195.4,110,33.22,181.2,109,15.4,178.5,105,8.03,8.9,4,2.4,0,no 223 | NY,93,area_code_408,no,no,0,162.9,103,27.69,243.6,97,20.71,172.4,111,7.76,7.0,5,1.89,4,no 224 | WV,101,area_code_415,no,yes,28,220.3,96,37.45,285.8,72,24.29,203.0,111,9.14,9.4,6,2.54,4,no 225 | AZ,155,area_code_415,yes,no,0,176.1,88,29.94,244.5,84,20.78,189.9,99,8.55,11.2,1,3.02,2,yes 226 | NV,60,area_code_415,no,no,0,197.0,130,33.49,219.2,105,18.63,102.8,113,4.63,12.6,4,3.4,1,no 227 | KY,66,area_code_510,no,yes,33,88.8,104,15.1,109.6,94,9.32,172.7,107,7.77,7.1,9,1.92,3,no 228 | NY,140,area_code_415,no,no,0,235.5,81,40.04,257.2,130,21.86,103.1,111,4.64,11.5,4,3.11,2,no 229 | CA,149,area_code_415,no,no,0,152.1,116,25.86,164.3,83,13.97,142.8,98,6.43,7.6,3,2.05,0,no 230 | IL,71,area_code_415,no,no,0,112.1,122,19.06,157.9,86,13.42,271.6,104,12.22,11.1,5,3.0,0,no 231 | CT,88,area_code_415,no,no,0,168.8,141,28.7,211.5,129,17.98,86.9,92,3.91,10.5,7,2.84,3,no 232 | OK,78,area_code_510,no,no,0,140.0,84,23.8,216.8,73,18.43,224.5,102,10.1,9.0,6,2.43,2,no 233 | IA,98,area_code_510,no,yes,21,161.2,114,27.4,252.2,83,21.44,160.2,92,7.21,4.4,8,1.19,4,no 234 | NJ,66,area_code_415,no,yes,16,174.7,92,29.7,232.1,105,19.73,305.4,98,13.74,8.9,2,2.4,1,no 235 | RI,121,area_code_510,no,yes,20,211.9,110,36.02,215.1,120,18.28,238.5,107,10.73,9.4,2,2.54,0,no 236 | FL,113,area_code_415,no,no,0,317.1,97,53.91,224.8,70,19.11,215.1,90,9.68,13.6,2,3.67,1,yes 237 | CT,48,area_code_415,no,no,0,171.9,98,29.22,159.0,127,13.52,139.5,101,6.28,7.6,3,2.05,2,no 238 | LA,69,area_code_415,no,no,0,245.6,128,41.75,173.0,101,14.71,111.8,118,5.03,14.2,7,3.83,2,no 239 | WV,62,area_code_408,no,no,0,128.7,111,21.88,169.5,104,14.41,193.6,97,8.71,10.3,5,2.78,1,no 240 | MS,130,area_code_510,no,no,0,203.9,63,34.66,191.8,93,16.3,132.5,125,5.96,12.1,4,3.27,3,no 241 | IL,65,area_code_415,no,no,0,180.3,84,30.65,199.9,129,16.99,280.1,62,12.6,12.1,1,3.27,3,no 242 | GA,93,area_code_415,no,no,0,179.5,121,30.52,191.9,131,16.31,165.5,125,7.45,12.0,4,3.24,0,no 243 | IA,52,area_code_510,no,yes,24,229.1,86,38.95,168.7,124,14.34,245.4,75,11.04,14.6,2,3.94,1,no 244 | MA,67,area_code_415,no,yes,34,161.7,114,27.49,207.6,115,17.65,205.7,114,9.26,9.2,4,2.48,0,no 245 | SD,126,area_code_415,no,yes,23,114.3,102,19.43,190.3,103,16.18,240.4,111,10.82,12.6,7,3.4,3,no 246 | HI,24,area_code_415,no,no,0,235.6,132,40.05,115.9,129,9.85,185.4,136,8.34,16.2,2,4.37,0,no 247 | NY,87,area_code_415,no,no,0,204.8,101,34.82,161.0,80,13.69,285.7,89,12.86,9.5,3,2.57,0,no 248 | AL,60,area_code_408,yes,yes,29,265.9,113,45.2,215.8,94,18.34,108.1,82,4.86,14.0,12,3.78,0,yes 249 | HI,118,area_code_415,no,no,0,133.4,113,22.68,121.0,92,10.29,254.7,129,11.46,5.9,4,1.59,1,no 250 | KY,91,area_code_415,yes,no,0,145.0,89,24.65,175.8,102,14.94,223.7,151,10.07,16.7,3,4.51,2,yes 251 | VA,114,area_code_415,no,yes,34,114.5,64,19.47,229.3,84,19.49,288.8,68,13.0,10.4,16,2.81,0,no 252 | CT,60,area_code_415,yes,yes,45,135.6,101,23.05,94.9,73,8.07,154.0,118,6.93,9.8,3,2.65,4,yes 253 | DE,62,area_code_408,no,no,0,182.3,101,30.99,328.2,93,27.9,245.0,131,11.03,11.2,1,3.02,2,no 254 | NM,158,area_code_408,no,no,0,172.4,114,29.31,256.6,69,21.81,235.3,104,10.59,0.0,0,0.0,2,no 255 | TX,50,area_code_510,no,no,0,188.9,94,32.11,203.9,104,17.33,151.8,124,6.83,11.6,8,3.13,3,no 256 | OR,100,area_code_510,no,no,0,152.7,98,25.96,212.4,73,18.05,264.5,90,11.9,7.9,3,2.13,2,no 257 | WI,70,area_code_415,no,no,0,156.4,108,26.59,171.0,116,14.54,196.1,96,8.82,8.6,4,2.32,2,no 258 | OR,65,area_code_408,yes,no,0,54.8,74,9.32,239.8,93,20.38,214.4,91,9.65,13.4,5,3.62,1,yes 259 | NH,111,area_code_510,no,no,0,197.1,117,33.51,227.8,128,19.36,214.0,101,9.63,9.3,11,2.51,0,no 260 | CT,110,area_code_415,no,no,0,251.3,91,42.72,207.2,95,17.61,249.0,70,11.21,12.9,2,3.48,1,yes 261 | NM,183,area_code_415,no,no,0,190.0,100,32.3,246.6,78,20.96,304.2,107,13.69,9.5,4,2.57,1,no 262 | HI,80,area_code_510,no,no,0,157.1,77,26.71,302.0,69,25.67,317.9,159,14.31,15.6,4,4.21,0,no 263 | IN,140,area_code_415,no,no,0,204.7,100,34.8,126.8,107,10.78,202.8,115,9.13,12.1,4,3.27,2,no 264 | MN,123,area_code_408,no,no,0,236.2,135,40.15,273.9,88,23.28,227.0,77,10.22,10.1,6,2.73,2,yes 265 | NE,124,area_code_415,no,no,0,182.7,98,31.06,197.2,93,16.76,220.6,105,9.93,8.1,4,2.19,1,no 266 | WY,28,area_code_415,no,no,0,187.8,94,31.93,248.6,86,21.13,208.8,124,9.4,10.6,5,2.86,0,no 267 | UT,98,area_code_415,no,no,0,211.9,65,36.02,224.6,95,19.09,233.0,81,10.49,9.9,3,2.67,2,no 268 | WV,145,area_code_408,no,yes,31,216.0,94,36.72,225.1,123,19.13,234.7,109,10.56,10.7,1,2.89,2,no 269 | AZ,99,area_code_415,no,no,0,198.2,87,33.69,207.3,76,17.62,190.9,113,8.59,8.7,3,2.35,4,no 270 | SC,111,area_code_415,no,no,0,110.4,103,18.77,137.3,102,11.67,189.6,105,8.53,7.7,6,2.08,2,no 271 | NV,37,area_code_415,no,no,0,233.7,114,39.73,207.9,109,17.67,212.7,101,9.57,12.0,2,3.24,2,no 272 | MS,132,area_code_510,no,no,0,126.8,83,21.56,243.2,97,20.67,223.4,106,10.05,7.1,5,1.92,3,no 273 | WA,96,area_code_415,no,no,0,276.9,105,47.07,246.9,94,20.99,254.4,107,11.45,10.3,3,2.78,1,yes 274 | UT,87,area_code_415,no,no,0,146.3,108,24.87,171.8,102,14.6,167.5,66,7.54,5.3,9,1.43,1,no 275 | TN,121,area_code_510,no,yes,26,170.4,91,28.97,254.5,90,21.63,219.6,122,9.88,15.1,5,4.08,0,no 276 | MS,78,area_code_415,no,no,0,87.7,74,14.91,214.8,58,18.26,201.3,147,9.06,10.8,6,2.92,1,no 277 | NH,75,area_code_510,no,no,0,226.1,105,38.44,201.5,107,17.13,246.2,98,11.08,10.3,5,2.78,1,no 278 | VA,129,area_code_408,no,no,0,207.0,91,35.19,154.9,121,13.17,245.1,112,11.03,13.4,5,3.62,3,no 279 | NC,122,area_code_415,no,no,0,180.0,88,30.6,145.0,77,12.33,233.7,120,10.52,11.5,6,3.11,2,no 280 | MA,87,area_code_408,no,no,0,186.9,79,31.77,182.6,105,15.52,143.1,90,6.44,4.2,14,1.13,1,no 281 | VT,137,area_code_510,no,no,0,97.5,95,16.58,195.8,82,16.64,288.8,78,13.0,0.0,0,0.0,1,no 282 | MN,138,area_code_510,no,no,0,54.8,123,9.32,147.5,76,12.54,173.6,119,7.81,11.5,1,3.11,1,no 283 | WV,48,area_code_408,no,no,0,237.5,117,40.38,211.1,114,17.94,163.9,114,7.38,9.7,3,2.62,1,no 284 | CA,72,area_code_408,no,yes,39,92.8,98,15.78,271.2,115,23.05,167.1,83,7.52,5.8,7,1.57,1,no 285 | NH,152,area_code_510,no,no,0,228.1,93,38.78,136.4,106,11.59,197.3,107,8.88,9.0,2,2.43,1,no 286 | TX,152,area_code_415,no,no,0,141.5,102,24.06,263.0,94,22.36,207.1,113,9.32,3.4,4,0.92,2,no 287 | ND,102,area_code_510,no,no,0,69.7,85,11.85,226.5,107,19.25,128.5,104,5.78,11.1,2,3.0,2,no 288 | SD,75,area_code_408,no,no,0,147.5,110,25.08,191.7,97,16.29,135.0,68,6.08,16.4,3,4.43,2,no 289 | LA,27,area_code_408,no,no,0,82.6,105,14.04,204.0,99,17.34,224.2,122,10.09,9.1,4,2.46,1,no 290 | CT,67,area_code_415,no,no,0,115.5,70,19.64,252.2,143,21.44,208.9,91,9.4,7.5,6,2.03,0,no 291 | TX,121,area_code_415,no,yes,31,263.1,70,44.73,279.3,118,23.74,127.1,143,5.72,9.7,4,2.62,5,no 292 | NY,131,area_code_415,no,no,0,264.2,118,44.91,180.0,89,15.3,223.9,104,10.08,10.7,1,2.89,2,no 293 | SD,104,area_code_408,no,no,0,200.2,92,34.03,118.7,87,10.09,236.6,65,10.65,6.0,6,1.62,2,no 294 | IL,151,area_code_408,no,no,0,175.3,106,29.8,144.3,87,12.27,160.2,88,7.21,11.8,5,3.19,0,no 295 | CT,94,area_code_415,no,no,0,206.1,49,35.04,224.6,115,19.09,256.7,74,11.55,13.0,1,3.51,1,no 296 | MI,105,area_code_415,no,no,0,226.9,106,38.57,182.2,77,15.49,203.9,107,9.18,11.6,2,3.13,0,yes 297 | OR,38,area_code_415,no,no,0,194.4,94,33.05,186.7,95,15.87,223.3,90,10.05,10.8,5,2.92,3,no 298 | ID,114,area_code_408,no,yes,19,154.6,100,26.28,241.6,109,20.54,160.0,112,7.2,12.6,1,3.4,3,no 299 | MT,97,area_code_415,no,yes,15,117.6,97,19.99,196.3,126,16.69,157.4,113,7.08,6.4,3,1.73,1,no 300 | RI,123,area_code_510,no,yes,23,245.0,88,41.65,265.0,105,22.53,239.7,108,10.79,14.9,3,4.02,2,no 301 | CT,199,area_code_415,no,yes,34,230.6,121,39.2,219.4,99,18.65,299.3,94,13.47,8.0,2,2.16,0,no 302 | WY,63,area_code_415,no,no,0,120.1,103,20.42,179.2,132,15.23,127.3,82,5.73,6.3,4,1.7,1,no 303 | WA,106,area_code_408,no,no,0,193.6,66,32.91,238.2,82,20.25,176.4,107,7.94,12.9,3,3.48,0,no 304 | WI,142,area_code_408,no,yes,24,239.8,103,40.77,285.9,65,24.3,256.7,106,11.55,9.5,4,2.57,0,no 305 | HI,158,area_code_510,no,no,0,193.3,121,32.86,208.1,97,17.69,228.1,99,10.26,7.1,9,1.92,1,no 306 | NJ,77,area_code_415,yes,no,0,323.7,106,55.03,139.2,99,11.83,204.4,89,9.2,8.5,3,2.3,6,yes 307 | HI,101,area_code_415,no,yes,24,114.1,95,19.4,161.5,86,13.73,176.3,90,7.93,13.0,9,3.51,2,no 308 | NE,129,area_code_510,no,yes,30,177.3,95,30.14,211.8,102,18.0,240.2,108,10.81,9.3,7,2.51,3,no 309 | WY,118,area_code_408,no,no,0,232.4,92,39.51,191.0,68,16.24,213.0,138,9.58,7.7,4,2.08,1,no 310 | WV,112,area_code_415,yes,no,0,161.9,138,27.52,200.9,114,17.08,134.0,134,6.03,10.7,4,2.89,1,no 311 | VA,44,area_code_408,no,no,0,204.6,117,34.78,205.2,94,17.44,164.6,84,7.41,10.7,5,2.89,0,no 312 | UT,37,area_code_510,no,no,0,271.7,112,46.19,155.1,96,13.18,199.5,97,8.98,6.6,4,1.78,3,no 313 | VT,74,area_code_415,no,yes,24,124.2,146,21.11,266.2,84,22.63,156.7,108,7.05,11.5,6,3.11,3,no 314 | OR,76,area_code_415,no,no,0,169.5,77,28.82,124.0,87,10.54,219.4,92,9.87,10.0,3,2.7,0,no 315 | NM,1,area_code_510,no,yes,26,69.7,84,11.85,250.4,79,21.28,230.2,122,10.36,8.3,3,2.24,2,no 316 | AL,93,area_code_408,no,no,0,267.9,114,45.54,223.0,74,18.96,262.7,90,11.82,11.3,3,3.05,3,yes 317 | KS,166,area_code_415,yes,yes,28,175.8,126,29.89,253.6,76,21.56,128.5,72,5.78,11.4,5,3.08,1,no 318 | NV,139,area_code_510,yes,no,0,172.6,92,29.34,281.7,123,23.94,253.4,117,11.4,10.5,3,2.84,3,no 319 | VA,66,area_code_415,no,no,0,145.6,105,24.75,250.9,82,21.33,156.6,102,7.05,12.2,7,3.29,1,no 320 | UT,80,area_code_415,no,no,0,195.1,65,33.17,214.0,80,18.19,124.4,96,5.6,9.2,6,2.48,2,no 321 | LA,137,area_code_408,no,no,0,151.8,90,25.81,229.6,68,19.52,171.8,122,7.73,10.8,5,2.92,2,no 322 | IL,67,area_code_415,no,no,0,109.1,117,18.55,217.4,124,18.48,188.4,141,8.48,12.8,6,3.46,0,no 323 | CO,92,area_code_415,no,no,0,184.7,60,31.4,262.0,73,22.27,239.5,120,10.78,12.3,6,3.32,2,yes 324 | AR,68,area_code_408,no,yes,43,147.7,95,25.11,259.3,108,22.04,237.1,106,10.67,8.9,8,2.4,3,no 325 | CT,152,area_code_408,no,yes,20,239.1,105,40.65,209.1,111,17.77,268.2,130,12.07,13.3,3,3.59,5,no 326 | CT,68,area_code_510,yes,no,0,197.7,99,33.61,188.8,106,16.05,254.6,80,11.46,19.2,4,5.18,3,yes 327 | MO,101,area_code_415,no,yes,29,121.1,116,20.59,186.4,100,15.84,241.7,75,10.88,10.1,6,2.73,0,no 328 | IA,117,area_code_415,no,no,0,226.5,85,38.51,141.6,68,12.04,223.0,90,10.04,6.9,5,1.86,1,no 329 | OR,135,area_code_408,yes,no,0,174.8,112,29.72,218.0,125,18.53,180.1,102,8.1,12.7,6,3.43,3,no 330 | WV,48,area_code_408,no,no,0,275.2,67,46.78,180.2,108,15.32,159.0,110,7.15,7.9,2,2.13,1,no 331 | NH,119,area_code_408,no,no,0,138.3,89,23.51,170.5,78,14.49,263.9,98,11.88,13.5,6,3.65,3,no 332 | RI,150,area_code_415,no,yes,29,209.9,77,35.68,158.0,52,13.43,141.9,113,6.39,6.6,1,1.78,0,no 333 | KS,178,area_code_415,no,yes,22,112.8,66,19.18,232.6,100,19.77,194.8,119,8.77,14.3,3,3.86,1,no 334 | ID,42,area_code_510,yes,no,0,260.9,94,44.35,152.8,123,12.99,212.6,94,9.57,11.1,4,3.0,1,no 335 | MN,115,area_code_510,yes,no,0,122.0,110,20.74,220.2,100,18.72,179.7,124,8.09,10.8,2,2.92,2,yes 336 | WI,116,area_code_415,no,yes,35,200.4,104,34.07,272.8,89,23.19,214.5,100,9.65,8.3,4,2.24,1,no 337 | WV,83,area_code_415,no,yes,37,78.5,109,13.35,210.5,101,17.89,179.7,102,8.09,11.8,4,3.19,1,no 338 | WI,73,area_code_415,no,no,0,157.1,109,26.71,268.8,83,22.85,181.5,91,8.17,10.0,8,2.7,0,no 339 | PA,91,area_code_415,no,no,0,139.8,109,23.77,157.0,91,13.35,218.6,122,9.84,13.6,4,3.67,3,no 340 | SD,91,area_code_510,no,no,0,149.0,115,25.33,245.3,105,20.85,260.0,94,11.7,8.3,3,2.24,0,no 341 | AL,80,area_code_415,no,no,0,209.9,109,35.68,226.1,56,19.22,154.2,121,6.94,9.0,5,2.43,1,no 342 | SC,49,area_code_415,yes,no,0,237.8,92,40.43,208.9,119,17.76,167.8,86,7.55,15.6,6,4.21,2,yes 343 | KY,151,area_code_408,no,yes,17,214.7,97,36.5,138.5,90,11.77,169.1,44,7.61,8.6,4,2.32,1,no 344 | DC,80,area_code_408,no,no,0,51.5,90,8.76,164.0,98,13.94,169.4,80,7.62,9.5,4,2.57,3,no 345 | DE,129,area_code_510,no,no,0,334.3,118,56.83,192.1,104,16.33,191.0,83,8.59,10.4,6,2.81,0,yes 346 | AL,200,area_code_408,no,no,0,128.2,87,21.79,133.2,105,11.32,177.6,123,7.99,11.2,2,3.02,1,no 347 | CT,73,area_code_510,no,no,0,159.0,123,27.03,233.3,95,19.83,178.9,155,8.05,15.2,3,4.1,2,no 348 | PA,112,area_code_510,no,no,0,217.1,76,36.91,205.2,100,17.44,185.7,91,8.36,9.4,3,2.54,2,no 349 | MN,186,area_code_415,no,yes,26,74.3,107,12.63,177.3,116,15.07,296.3,90,13.33,14.5,3,3.92,2,no 350 | NE,200,area_code_408,no,no,0,195.4,71,33.22,249.4,96,21.2,233.1,132,10.49,12.9,2,3.48,3,no 351 | NJ,112,area_code_510,no,yes,22,244.7,104,41.6,203.1,88,17.26,222.0,84,9.99,7.4,6,2.0,0,no 352 | AK,156,area_code_510,no,no,0,123.7,96,21.03,103.0,80,8.76,189.4,82,8.52,13.1,4,3.54,1,no 353 | KY,172,area_code_415,no,no,0,172.5,85,29.33,253.1,71,21.51,221.6,113,9.97,5.9,6,1.59,0,no 354 | NC,26,area_code_415,no,no,0,234.5,109,39.87,216.5,129,18.4,191.6,94,8.62,3.5,6,0.95,3,no 355 | AK,121,area_code_408,no,yes,34,245.0,95,41.65,216.9,66,18.44,112.4,125,5.06,7.5,8,2.03,0,no 356 | SD,27,area_code_510,no,no,0,226.3,95,38.47,274.3,109,23.32,242.7,119,10.92,8.2,3,2.21,2,yes 357 | LA,123,area_code_415,no,yes,33,146.6,87,24.92,114.8,59,9.76,220.4,99,9.92,2.9,7,0.78,0,no 358 | ME,57,area_code_415,no,yes,33,193.4,105,32.88,231.6,79,19.69,226.2,90,10.18,11.1,11,3.0,2,no 359 | OH,69,area_code_415,no,no,0,209.6,94,35.63,193.1,106,16.41,239.9,90,10.8,12.4,4,3.35,0,no 360 | PA,129,area_code_510,no,yes,32,211.0,99,35.87,155.1,89,13.18,234.8,96,10.57,11.4,5,3.08,1,no 361 | AZ,113,area_code_510,no,no,0,128.7,100,21.88,227.1,67,19.3,178.1,135,8.01,9.2,4,2.48,2,yes 362 | PA,167,area_code_415,yes,no,0,181.2,122,30.8,262.5,77,22.31,214.0,88,9.63,8.4,4,2.27,0,no 363 | IN,160,area_code_510,no,yes,33,137.0,100,23.29,203.5,82,17.3,218.7,64,9.84,5.8,4,1.57,2,no 364 | WV,70,area_code_415,no,no,0,214.8,87,36.52,131.0,114,11.14,216.9,104,9.76,9.4,3,2.54,3,no 365 | WA,121,area_code_408,no,no,0,207.9,98,35.34,210.5,96,17.89,109.6,114,4.93,7.7,2,2.08,2,no 366 | TX,98,area_code_408,no,no,0,158.5,90,26.95,254.4,67,21.62,178.4,104,8.03,14.8,5,4.0,2,no 367 | IL,31,area_code_415,no,yes,28,210.5,101,35.79,250.5,86,21.29,241.6,125,10.87,11.5,2,3.11,1,no 368 | HI,111,area_code_408,no,yes,13,193.1,104,32.83,111.6,98,9.49,227.4,94,10.23,12.1,4,3.27,1,no 369 | AK,88,area_code_415,no,yes,37,181.7,88,30.89,237.4,106,20.18,209.1,111,9.41,9.5,5,2.57,2,no 370 | OK,101,area_code_415,no,no,0,269.7,85,45.85,207.6,86,17.65,214.2,107,9.64,4.5,15,1.22,3,yes 371 | UT,90,area_code_415,no,no,0,152.3,91,25.89,165.0,120,14.03,294.3,73,13.24,9.0,3,2.43,2,no 372 | WV,127,area_code_510,no,no,0,224.3,112,38.13,185.7,103,15.78,159.4,83,7.17,10.0,1,2.7,2,no 373 | CO,111,area_code_510,no,yes,24,205.5,114,34.94,219.3,99,18.64,215.9,95,9.72,14.0,4,3.78,1,no 374 | KY,133,area_code_415,no,no,0,226.8,87,38.56,127.9,93,10.87,160.1,89,7.2,9.2,3,2.48,0,no 375 | MD,163,area_code_510,no,no,0,238.6,107,40.56,178.0,85,15.13,196.0,124,8.82,6.2,4,1.67,1,no 376 | ID,107,area_code_415,no,no,0,260.6,81,44.3,246.1,116,20.92,243.3,117,10.95,12.8,9,3.46,0,yes 377 | OH,29,area_code_415,yes,yes,37,235.0,101,39.95,183.3,79,15.58,139.8,106,6.29,5.7,7,1.54,2,no 378 | WY,160,area_code_408,no,no,0,82.7,116,14.06,194.6,95,16.54,159.0,54,7.15,10.9,9,2.94,0,no 379 | NV,162,area_code_415,no,no,0,115.1,89,19.57,196.8,111,16.73,212.4,98,9.56,11.4,3,3.08,2,no 380 | MN,125,area_code_415,no,no,0,240.7,82,40.92,269.4,85,22.9,187.1,74,8.42,10.1,3,2.73,0,yes 381 | NE,123,area_code_510,no,no,0,194.0,118,32.98,242.0,114,20.57,146.3,108,6.58,12.1,4,3.27,1,no 382 | ME,66,area_code_510,no,no,0,118.0,133,20.06,248.1,99,21.09,214.4,122,9.65,5.3,5,1.43,1,no 383 | KY,78,area_code_415,no,no,0,254.1,112,43.2,215.9,80,18.35,267.1,124,12.02,16.3,3,4.4,0,yes 384 | MI,173,area_code_415,yes,yes,18,127.2,89,21.62,130.7,114,11.11,229.7,115,10.34,11.2,5,3.02,2,no 385 | OR,149,area_code_415,no,no,0,114.5,103,19.47,228.8,100,19.45,135.8,74,6.11,10.7,3,2.89,0,no 386 | CO,125,area_code_408,no,yes,23,120.5,104,20.49,227.8,115,19.36,158.5,100,7.13,10.2,3,2.75,1,no 387 | NC,115,area_code_415,no,yes,26,132.3,142,22.49,273.4,89,23.24,195.7,77,8.81,14.8,7,4.0,0,no 388 | UT,32,area_code_510,no,yes,26,243.5,137,41.4,236.8,108,20.13,173.3,149,7.8,9.0,9,2.43,1,no 389 | MO,98,area_code_415,no,no,0,221.2,80,37.6,213.6,104,18.16,291.8,89,13.13,11.9,3,3.21,4,no 390 | WY,115,area_code_415,yes,yes,6,140.1,125,23.82,157.9,100,13.42,249.4,96,11.22,10.1,3,2.73,1,no 391 | AR,63,area_code_510,no,yes,49,214.9,86,36.53,198.2,89,16.85,170.8,139,7.69,8.2,5,2.21,0,no 392 | PA,69,area_code_415,no,no,0,143.6,88,24.41,141.8,86,12.05,194.0,83,8.73,10.8,5,2.92,3,no 393 | OH,88,area_code_408,no,no,0,274.6,105,46.68,161.1,121,13.69,194.4,123,8.75,9.2,4,2.48,2,no 394 | NH,127,area_code_415,no,no,0,200.8,104,34.14,181.4,73,15.42,89.7,49,4.04,9.7,5,2.62,0,no 395 | NM,89,area_code_408,no,no,0,269.8,94,45.87,227.0,125,19.3,212.2,135,9.55,4.7,6,1.27,1,yes 396 | OR,53,area_code_415,no,no,0,184.8,98,31.42,216.4,125,18.39,141.1,116,6.35,18.4,3,4.97,2,no 397 | NV,183,area_code_415,no,no,0,116.7,92,19.84,213.8,112,18.17,214.3,112,9.64,9.7,6,2.62,2,no 398 | AL,181,area_code_415,no,yes,27,190.3,93,32.35,249.0,127,21.17,215.7,82,9.71,10.6,4,2.86,1,no 399 | NY,156,area_code_408,no,no,0,174.3,95,29.63,186.6,128,15.86,258.2,105,11.62,12.9,5,3.48,3,no 400 | ND,184,area_code_415,no,no,0,237.6,86,40.39,157.0,105,13.35,163.6,103,7.36,14.2,2,3.83,2,no 401 | IA,130,area_code_415,no,no,0,150.4,119,25.57,230.5,99,19.59,186.3,76,8.38,12.3,4,3.32,1,no 402 | MN,124,area_code_510,no,no,0,157.5,70,26.78,130.7,79,11.11,193.4,98,8.7,9.6,4,2.59,3,no 403 | MN,95,area_code_408,no,yes,32,262.2,123,44.57,165.2,82,14.04,194.3,57,8.74,10.6,5,2.86,0,no 404 | NJ,129,area_code_415,no,no,0,168.4,117,28.63,217.1,129,18.45,81.6,100,3.67,11.8,7,3.19,1,no 405 | NH,155,area_code_408,no,no,0,216.7,30,36.84,144.3,125,12.27,135.3,106,6.09,10.8,1,2.92,2,no 406 | WA,184,area_code_408,no,no,0,151.7,93,25.79,178.5,77,15.17,229.1,111,10.31,13.1,8,3.54,2,no 407 | NJ,122,area_code_415,no,yes,34,146.4,104,24.89,89.7,103,7.62,220.0,91,9.9,15.6,4,4.21,2,no 408 | NY,114,area_code_408,no,no,0,139.8,152,23.77,215.9,76,18.35,96.9,111,4.36,7.9,10,2.13,2,no 409 | IL,110,area_code_408,no,no,0,74.5,117,12.67,200.8,98,17.07,192.2,101,8.65,9.8,7,2.65,3,no 410 | SC,78,area_code_415,no,no,0,109.5,105,18.62,286.1,90,24.32,247.6,113,11.14,4.9,9,1.32,1,no 411 | NE,42,area_code_510,no,no,0,143.7,96,24.43,221.0,98,18.79,108.9,94,4.9,8.6,1,2.32,2,no 412 | OR,149,area_code_415,no,no,0,242.5,83,41.23,245.4,97,20.86,219.6,80,9.88,10.0,3,2.7,3,yes 413 | MI,22,area_code_408,no,no,0,180.0,65,30.6,207.0,106,17.6,182.8,111,8.23,8.3,6,2.24,1,no 414 | MN,133,area_code_415,no,no,0,128.9,85,21.91,201.4,93,17.12,275.3,103,12.39,11.1,3,3.0,1,no 415 | FL,116,area_code_510,no,no,0,192.1,98,32.66,312.9,135,26.6,130.2,94,5.86,7.9,2,2.13,3,no 416 | NV,134,area_code_408,no,no,0,177.1,120,30.11,218.1,123,18.54,183.8,93,8.27,12.7,5,3.43,3,no 417 | OH,93,area_code_415,no,yes,42,152.3,90,25.89,267.5,102,22.74,266.9,130,12.01,11.3,5,3.05,7,no 418 | TN,3,area_code_510,yes,no,0,161.0,96,27.37,244.9,82,20.82,180.8,103,8.14,7.7,6,2.08,1,no 419 | PA,147,area_code_415,no,no,0,188.3,80,32.01,214.7,123,18.25,218.0,89,9.81,10.2,4,2.75,2,no 420 | ME,163,area_code_415,no,yes,30,195.2,123,33.18,126.4,115,10.74,221.0,90,9.95,9.0,5,2.43,5,yes 421 | OH,127,area_code_408,no,no,0,139.6,94,23.73,240.9,112,20.48,127.1,88,5.72,8.8,4,2.38,2,no 422 | TX,91,area_code_415,no,no,0,251.5,57,42.76,179.1,113,15.22,163.2,72,7.34,6.6,3,1.78,1,no 423 | OR,66,area_code_408,no,no,0,87.6,76,14.89,262.0,111,22.27,184.6,125,8.31,9.2,5,2.48,1,no 424 | OK,96,area_code_415,no,no,0,260.4,115,44.27,146.0,46,12.41,269.5,87,12.13,11.5,4,3.11,5,no 425 | NH,139,area_code_510,no,no,0,221.3,140,37.62,157.8,89,13.41,192.5,89,8.66,11.3,6,3.05,1,no 426 | IA,105,area_code_408,yes,yes,31,172.5,103,29.33,113.6,102,9.66,261.6,104,11.77,10.8,4,2.92,2,no 427 | NV,137,area_code_415,yes,no,0,135.1,95,22.97,134.1,102,11.4,223.1,81,10.04,12.3,2,3.32,2,yes 428 | MN,132,area_code_510,no,no,0,121.5,88,20.66,253.0,124,21.51,195.7,120,8.81,10.7,4,2.89,1,no 429 | RI,127,area_code_510,no,no,0,96.0,117,16.32,177.0,68,15.05,162.2,127,7.3,9.7,4,2.62,3,no 430 | TX,104,area_code_415,no,no,0,261.2,81,44.4,209.1,130,17.77,281.1,121,12.65,11.3,1,3.05,2,yes 431 | ID,93,area_code_415,no,no,0,216.2,100,36.75,182.8,136,15.54,237.9,66,10.71,7.8,3,2.11,2,no 432 | WV,131,area_code_510,no,no,0,256.6,96,43.62,225.2,113,19.14,190.2,91,8.56,11.1,3,3.0,1,yes 433 | WI,63,area_code_510,no,yes,34,152.2,119,25.87,227.1,91,19.3,195.7,103,8.81,12.3,5,3.32,1,no 434 | VA,60,area_code_415,no,no,0,229.5,91,39.02,157.7,67,13.4,162.4,76,7.31,13.2,3,3.56,2,no 435 | WY,33,area_code_415,no,no,0,213.9,88,36.36,239.8,119,20.38,148.7,71,6.69,9.8,14,2.65,2,no 436 | HI,53,area_code_510,yes,no,0,145.0,80,24.65,228.4,82,19.41,169.4,109,7.62,8.9,5,2.4,0,no 437 | MN,155,area_code_408,yes,no,0,250.8,146,42.64,152.5,105,12.96,148.1,104,6.66,10.0,5,2.7,2,no 438 | WV,63,area_code_510,no,no,0,261.8,69,44.51,245.0,135,20.83,202.1,94,9.09,14.7,4,3.97,0,yes 439 | CT,124,area_code_415,no,no,0,151.0,98,25.67,120.6,119,10.25,152.8,81,6.88,9.2,2,2.48,2,no 440 | PA,43,area_code_408,no,no,0,212.5,88,36.13,274.1,145,23.3,194.6,52,8.76,8.6,6,2.32,0,no 441 | AK,110,area_code_408,no,no,0,100.1,90,17.02,233.3,93,19.83,204.4,57,9.2,11.1,8,3.0,3,no 442 | NV,136,area_code_415,no,yes,21,179.4,88,30.5,181.1,97,15.39,320.7,120,14.43,9.5,4,2.57,2,no 443 | CT,99,area_code_408,no,no,0,95.4,105,16.22,207.2,101,17.61,136.0,117,6.12,5.6,5,1.51,1,no 444 | ND,56,area_code_510,no,yes,37,153.7,97,26.13,271.4,91,23.07,179.0,121,8.06,8.3,2,2.24,1,no 445 | MO,107,area_code_415,no,yes,22,281.1,83,47.79,143.7,130,12.21,239.4,128,10.77,11.2,9,3.02,1,no 446 | WA,143,area_code_510,no,no,0,160.4,120,27.27,285.9,104,24.3,182.5,85,8.21,6.9,4,1.86,3,no 447 | MO,36,area_code_415,no,no,0,202.4,115,34.41,230.7,115,19.61,202.0,127,9.09,10.2,2,2.75,3,no 448 | NC,83,area_code_510,no,yes,36,95.9,87,16.3,261.6,105,22.24,228.6,109,10.29,13.3,4,3.59,0,no 449 | VT,93,area_code_415,no,yes,37,230.4,95,39.17,155.5,89,13.22,179.0,90,8.06,10.4,9,2.81,3,no 450 | KS,105,area_code_415,yes,no,0,273.9,119,46.56,278.6,103,23.68,255.3,90,11.49,10.9,7,2.94,1,yes 451 | TN,33,area_code_415,no,yes,35,186.8,124,31.76,261.0,69,22.19,317.8,103,14.3,15.0,5,4.05,0,no 452 | NJ,42,area_code_408,no,yes,16,240.8,80,40.94,212.6,121,18.07,271.7,138,12.23,9.4,4,2.54,1,no 453 | NY,125,area_code_415,no,no,0,233.3,65,39.66,209.8,93,17.83,210.6,109,9.48,9.1,4,2.46,1,no 454 | IA,93,area_code_408,no,no,0,198.1,93,33.68,236.1,95,20.07,127.3,121,5.73,12.6,4,3.4,2,no 455 | AZ,100,area_code_415,no,no,0,188.5,152,32.05,148.3,115,12.61,179.8,88,8.09,15.2,5,4.1,2,no 456 | NM,93,area_code_415,no,no,0,239.8,70,40.77,251.8,99,21.4,168.6,112,7.59,10.9,10,2.94,1,no 457 | PA,141,area_code_510,no,no,0,215.6,113,36.65,200.6,81,17.05,153.8,107,6.92,12.4,6,3.35,1,no 458 | ME,82,area_code_510,no,yes,29,207.2,111,35.22,254.1,137,21.6,169.3,92,7.62,9.5,5,2.57,2,no 459 | MN,152,area_code_415,no,no,0,317.8,60,54.03,152.9,100,13.0,123.4,63,5.55,10.4,7,2.81,1,yes 460 | AZ,87,area_code_510,no,no,0,110.9,91,18.85,158.5,115,13.47,207.5,131,9.34,6.2,5,1.67,1,no 461 | HI,130,area_code_510,no,no,0,126.8,101,21.56,144.1,105,12.25,249.6,117,11.23,11.4,8,3.08,2,no 462 | NC,172,area_code_408,no,yes,47,274.9,102,46.73,186.6,118,15.86,245.0,123,11.03,8.8,2,2.38,1,no 463 | WA,31,area_code_415,no,no,0,142.9,67,24.29,109.7,72,9.32,293.6,112,13.21,11.5,6,3.11,0,no 464 | ID,73,area_code_408,no,no,0,67.0,76,11.39,223.0,154,18.96,236.5,151,10.64,11.2,2,3.02,1,no 465 | AL,56,area_code_415,no,no,0,225.9,52,38.4,242.0,69,20.57,144.5,68,6.5,11.7,3,3.16,0,no 466 | SD,56,area_code_415,no,no,0,79.3,115,13.48,159.0,64,13.52,245.7,99,11.06,10.1,4,2.73,1,no 467 | NY,104,area_code_415,no,no,0,156.2,93,26.55,193.0,54,16.41,222.7,94,10.02,13.1,5,3.54,1,no 468 | CT,141,area_code_408,no,no,0,51.9,108,8.82,162.0,83,13.77,223.5,115,10.06,10.1,3,2.73,3,no 469 | TN,222,area_code_415,no,no,0,256.6,119,43.62,230.8,98,19.62,236.0,97,10.62,12.2,5,3.29,1,yes 470 | WA,141,area_code_415,no,no,0,151.5,104,25.76,242.2,114,20.59,304.2,109,13.69,10.8,2,2.92,1,no 471 | MN,50,area_code_415,no,no,0,157.1,90,26.71,223.3,72,18.98,181.4,111,8.16,6.1,2,1.65,1,no 472 | CT,45,area_code_415,no,no,0,142.4,107,24.21,318.7,78,27.09,224.1,108,10.08,11.1,7,3.0,1,no 473 | AR,5,area_code_415,no,no,0,199.2,106,33.86,187.3,12,15.92,214.0,85,9.63,13.3,3,3.59,3,no 474 | NV,161,area_code_415,no,no,0,72.8,120,12.38,267.1,120,22.7,222.5,91,10.01,11.8,2,3.19,2,no 475 | VA,126,area_code_415,no,yes,24,197.3,82,33.54,167.6,51,14.25,222.0,89,9.99,7.4,3,2.0,1,no 476 | MD,107,area_code_415,no,no,0,241.9,102,41.12,126.9,117,10.79,185.6,92,8.35,11.7,6,3.16,0,no 477 | MA,132,area_code_408,no,yes,36,201.9,93,34.32,156.3,75,13.29,131.3,92,5.91,13.7,5,3.7,0,no 478 | NV,105,area_code_415,yes,yes,29,220.7,82,37.52,217.7,110,18.5,190.5,100,8.57,13.2,6,3.56,1,yes 479 | CA,105,area_code_415,no,yes,31,109.6,108,18.63,249.3,119,21.19,321.2,101,14.45,8.3,4,2.24,4,yes 480 | VA,132,area_code_510,no,no,0,81.1,86,13.79,245.2,72,20.84,237.0,115,10.67,10.3,2,2.78,0,no 481 | CO,138,area_code_408,no,no,0,182.0,101,30.94,200.3,119,17.03,208.9,131,9.4,13.4,3,3.62,4,no 482 | KS,94,area_code_510,no,yes,28,233.2,88,39.64,113.3,102,9.63,118.0,71,5.31,16.1,4,4.35,0,no 483 | NM,147,area_code_408,yes,no,0,183.8,113,31.25,164.7,110,14.0,111.0,87,5.0,10.1,4,2.73,1,no 484 | VA,117,area_code_408,no,no,0,97.1,98,16.51,228.0,131,19.38,240.0,111,10.8,10.6,3,2.86,1,no 485 | MN,93,area_code_415,no,no,0,172.0,80,29.24,219.1,76,18.62,169.8,108,7.64,10.3,3,2.78,0,no 486 | AL,41,area_code_510,no,yes,34,194.4,63,33.05,254.9,110,21.67,160.2,115,7.21,17.2,9,4.64,2,no 487 | NV,110,area_code_408,no,yes,34,192.3,114,32.69,129.3,114,10.99,136.3,102,6.13,6.3,12,1.7,1,no 488 | DC,108,area_code_510,no,no,0,138.6,122,23.56,172.3,117,14.65,231.6,92,10.42,9.8,3,2.65,1,no 489 | MA,150,area_code_408,no,yes,27,209.8,112,35.67,155.0,80,13.18,251.5,111,11.32,7.2,6,1.94,0,no 490 | KY,147,area_code_408,no,no,0,212.8,79,36.18,204.1,91,17.35,156.2,113,7.03,10.2,2,2.75,1,no 491 | PA,101,area_code_415,no,no,0,206.6,105,35.12,224.9,117,19.12,249.9,100,11.25,14.6,3,3.94,0,no 492 | NJ,65,area_code_415,no,no,0,97.9,138,16.64,173.0,102,14.71,262.2,92,11.8,9.2,4,2.48,1,no 493 | MN,150,area_code_415,no,yes,28,174.4,75,29.65,169.9,80,14.44,201.6,130,9.07,11.0,4,2.97,1,no 494 | WA,62,area_code_415,yes,no,0,180.9,121,30.75,134.3,107,11.42,179.3,74,8.07,8.6,2,2.32,2,yes 495 | VT,105,area_code_510,no,no,0,167.7,93,28.51,234.1,103,19.9,169.7,121,7.64,6.9,5,1.86,3,no 496 | SC,100,area_code_408,no,yes,41,306.9,71,52.17,243.3,72,20.68,125.9,114,5.67,10.5,4,2.84,2,no 497 | IA,120,area_code_415,no,yes,33,299.5,83,50.92,163.4,84,13.89,146.7,88,6.6,11.6,5,3.13,0,no 498 | LA,85,area_code_408,no,no,0,209.1,57,35.55,110.7,111,9.41,113.3,113,5.1,12.8,4,3.46,1,no 499 | MN,81,area_code_510,no,no,0,145.6,59,24.75,287.9,131,24.47,181.7,121,8.18,9.2,4,2.48,2,no 500 | TX,110,area_code_415,no,no,0,149.2,128,25.36,112.8,101,9.59,156.3,111,7.03,12.2,4,3.29,1,no 501 | UT,243,area_code_510,no,no,0,95.5,92,16.24,163.7,63,13.91,264.2,118,11.89,6.6,6,1.78,2,no 502 | TN,110,area_code_415,no,no,0,227.7,88,38.71,170.0,96,14.45,128.7,57,5.79,11.7,5,3.16,1,no 503 | WV,66,area_code_415,no,no,0,239.6,120,40.73,230.3,110,19.58,153.0,82,6.89,8.6,3,2.32,1,no 504 | NY,160,area_code_408,no,no,0,216.8,77,36.86,207.3,117,17.62,228.6,117,10.29,5.6,2,1.51,1,no 505 | FL,102,area_code_408,no,yes,29,214.7,86,36.5,314.3,109,26.72,280.2,110,12.61,14.3,2,3.86,0,no 506 | IA,82,area_code_408,no,no,0,183.6,111,31.21,303.5,88,25.8,189.8,115,8.54,10.3,6,2.78,0,no 507 | VT,128,area_code_510,no,yes,32,222.9,136,37.89,262.0,80,22.27,191.4,101,8.61,10.8,4,2.92,0,no 508 | SD,142,area_code_408,no,yes,20,214.3,126,36.43,250.1,102,21.26,189.7,116,8.54,10.6,4,2.86,4,no 509 | ME,97,area_code_510,no,no,0,120.8,96,20.54,169.8,101,14.43,194.1,63,8.73,11.9,3,3.21,4,yes 510 | WV,191,area_code_408,no,no,0,162.0,104,27.54,241.2,120,20.5,210.4,83,9.47,10.9,7,2.94,1,no 511 | CA,87,area_code_415,no,yes,19,165.8,122,28.19,186.9,89,15.89,249.7,78,11.24,0.0,0,0.0,1,no 512 | MS,121,area_code_415,no,yes,21,126.3,84,21.47,209.6,102,17.82,192.5,129,8.66,10.6,2,2.86,1,no 513 | WI,84,area_code_510,no,yes,12,89.7,87,15.25,138.6,73,11.78,165.8,114,7.46,10.7,2,2.89,1,no 514 | MT,147,area_code_415,no,yes,35,197.3,134,33.54,141.1,99,11.99,212.1,90,9.54,10.1,4,2.73,2,yes 515 | PA,134,area_code_408,no,no,0,205.3,122,34.9,240.5,155,20.44,179.1,107,8.06,5.0,9,1.35,1,no 516 | FL,147,area_code_415,no,no,0,155.1,117,26.37,239.7,93,20.37,208.8,133,9.4,10.6,4,2.86,0,no 517 | CO,63,area_code_408,yes,yes,21,151.5,99,25.76,147.8,89,12.56,210.4,114,9.47,10.0,4,2.7,1,no 518 | OK,127,area_code_408,no,no,0,212.9,92,36.19,260.1,124,22.11,177.6,85,7.99,8.6,2,2.32,2,no 519 | TX,82,area_code_415,no,no,0,189.2,81,32.16,184.4,117,15.67,255.8,83,11.51,10.6,5,2.86,3,yes 520 | NJ,78,area_code_415,no,no,0,231.0,115,39.27,230.4,140,19.58,261.4,120,11.76,9.5,3,2.57,1,no 521 | IL,143,area_code_415,no,yes,26,119.6,133,20.33,247.0,136,21.0,227.3,54,10.23,13.0,3,3.51,1,no 522 | MO,164,area_code_408,no,yes,25,219.1,88,37.25,151.5,99,12.88,50.1,60,2.25,14.3,6,3.86,1,no 523 | NM,147,area_code_510,no,no,0,248.6,83,42.26,148.9,85,12.66,172.5,109,7.76,8.0,4,2.16,3,no 524 | ID,73,area_code_510,no,yes,28,198.2,107,33.69,139.1,123,11.82,199.1,139,8.96,8.8,1,2.38,2,no 525 | MI,137,area_code_415,no,no,0,137.5,102,23.38,176.0,98,14.96,210.6,88,9.48,10.4,6,2.81,0,no 526 | VT,195,area_code_415,no,yes,36,231.7,110,39.39,225.1,88,19.13,201.7,89,9.08,12.1,2,3.27,0,no 527 | IL,98,area_code_510,yes,no,0,158.4,71,26.93,306.6,66,26.06,144.2,93,6.49,2.1,4,0.57,1,no 528 | MO,152,area_code_408,no,no,0,101.2,122,17.2,141.6,87,12.04,198.5,124,8.93,7.5,3,2.03,2,no 529 | OR,120,area_code_415,no,no,0,252.0,120,42.84,150.2,106,12.77,151.8,96,6.83,9.6,1,2.59,2,no 530 | MO,147,area_code_415,yes,no,0,157.0,79,26.69,103.1,94,8.76,211.8,96,9.53,7.1,6,1.92,0,no 531 | OK,101,area_code_408,no,no,0,209.6,107,35.63,228.8,96,19.45,172.4,85,7.76,7.6,2,2.05,3,no 532 | NY,98,area_code_408,no,no,0,136.9,120,23.27,180.6,84,15.35,172.9,94,7.78,11.9,4,3.21,4,yes 533 | AR,113,area_code_415,yes,no,0,122.2,112,20.77,131.7,94,11.19,169.5,106,7.63,10.3,9,2.78,5,yes 534 | CA,151,area_code_415,yes,no,0,218.0,57,37.06,114.4,88,9.72,269.2,95,12.11,12.4,1,3.35,0,yes 535 | IA,50,area_code_510,no,no,0,202.0,106,34.34,174.7,70,14.85,152.9,92,6.88,6.0,6,1.62,4,no 536 | WV,51,area_code_408,no,no,0,169.3,111,28.78,139.5,69,11.86,197.0,87,8.87,12.0,3,3.24,0,no 537 | KY,131,area_code_408,no,yes,29,239.7,102,40.75,212.8,109,18.09,187.7,77,8.45,10.5,2,2.84,1,no 538 | NV,77,area_code_415,no,no,0,142.3,112,24.19,306.3,111,26.04,196.5,82,8.84,9.9,1,2.67,1,no 539 | GA,44,area_code_510,no,no,0,288.1,112,48.98,258.0,92,21.93,192.4,90,8.66,10.2,4,2.75,3,yes 540 | ID,92,area_code_415,no,yes,31,172.3,116,29.29,266.2,91,22.63,228.2,90,10.27,11.8,5,3.19,1,no 541 | AZ,100,area_code_510,no,no,0,78.7,98,13.38,225.6,102,19.18,150.4,106,6.77,14.0,8,3.78,0,no 542 | OK,33,area_code_415,yes,no,0,247.1,114,42.01,146.5,110,12.45,208.9,94,9.4,10.6,2,2.86,4,yes 543 | DC,41,area_code_408,no,yes,37,239.8,110,40.77,221.9,115,18.86,189.1,100,8.51,7.3,1,1.97,2,no 544 | NY,61,area_code_415,no,no,0,197.7,118,33.61,152.2,96,12.94,221.0,93,9.95,7.0,3,1.89,2,no 545 | MT,73,area_code_408,no,yes,26,131.2,98,22.3,106.5,97,9.05,221.7,96,9.98,10.2,6,2.75,2,no 546 | IL,183,area_code_510,no,no,0,108.3,87,18.41,183.6,116,15.61,176.6,109,7.95,13.5,2,3.65,0,no 547 | HI,70,area_code_415,no,no,0,197.3,91,33.54,305.8,81,25.99,171.0,105,7.69,6.7,6,1.81,1,no 548 | OH,98,area_code_408,no,no,0,165.0,129,28.05,202.6,113,17.22,172.3,94,7.75,12.5,7,3.38,1,yes 549 | OK,74,area_code_415,no,no,0,200.4,87,34.07,309.2,105,26.28,152.1,118,6.84,10.0,2,2.7,1,no 550 | NE,67,area_code_510,no,yes,31,175.2,68,29.78,199.2,73,16.93,219.8,99,9.89,13.2,6,3.56,1,no 551 | KS,124,area_code_415,no,no,0,158.6,104,26.96,211.2,77,17.95,179.3,104,8.07,10.2,8,2.75,3,no 552 | AZ,116,area_code_415,yes,no,0,191.7,97,32.59,176.2,127,14.98,103.9,96,4.68,4.9,4,1.32,2,no 553 | WY,142,area_code_408,no,yes,34,219.5,85,37.32,144.0,120,12.24,258.2,84,11.62,7.0,3,1.89,1,no 554 | KS,33,area_code_415,no,no,0,228.1,77,38.78,176.3,102,14.99,224.5,119,10.1,7.5,1,2.03,0,no 555 | PA,92,area_code_408,no,yes,28,151.1,90,25.69,194.8,79,16.56,239.2,114,10.76,10.0,3,2.7,1,no 556 | AK,112,area_code_510,no,no,0,172.7,112,29.36,244.5,83,20.78,242.3,68,10.9,4.1,1,1.11,0,no 557 | UT,133,area_code_408,no,yes,44,174.0,80,29.58,209.4,113,17.8,224.1,87,10.08,14.1,7,3.81,2,yes 558 | VT,72,area_code_415,no,no,0,139.9,117,23.78,223.6,96,19.01,240.8,93,10.84,12.7,4,3.43,2,no 559 | RI,28,area_code_510,no,no,0,180.8,109,30.74,288.8,58,24.55,191.9,91,8.64,14.1,6,3.81,2,no 560 | VA,10,area_code_408,no,no,0,186.1,112,31.64,190.2,66,16.17,282.8,57,12.73,11.4,6,3.08,2,no 561 | MS,144,area_code_415,no,yes,26,177.1,94,30.11,206.0,85,17.51,254.8,95,11.47,6.6,2,1.78,2,no 562 | ID,109,area_code_415,no,no,0,195.4,104,33.22,204.9,91,17.42,230.2,95,10.36,14.0,4,3.78,0,no 563 | VT,100,area_code_415,no,yes,25,215.9,90,36.7,257.9,92,21.92,180.2,157,8.11,11.6,4,3.13,1,no 564 | UT,117,area_code_510,no,yes,20,205.7,98,34.97,136.1,107,11.57,159.4,147,7.17,8.7,3,2.35,2,no 565 | CO,108,area_code_415,no,no,0,215.6,78,36.65,195.3,119,16.6,194.4,65,8.75,3.6,5,0.97,1,no 566 | OK,117,area_code_415,no,yes,31,104.9,115,17.83,237.6,125,20.2,263.4,104,11.85,7.7,6,2.08,3,no 567 | NY,143,area_code_415,no,no,0,168.6,85,28.66,176.3,89,14.99,282.3,69,12.7,13.3,10,3.59,1,no 568 | WV,50,area_code_408,no,no,0,131.1,129,22.29,160.5,94,13.64,206.9,88,9.31,5.6,9,1.51,5,yes 569 | VT,101,area_code_415,no,no,0,153.8,89,26.15,234.0,89,19.89,196.3,77,8.83,11.6,2,3.13,4,no 570 | NV,94,area_code_510,no,no,0,175.9,121,29.9,222.1,94,18.88,191.8,123,8.63,10.9,5,2.94,1,no 571 | RI,155,area_code_408,yes,no,0,163.1,94,27.73,291.7,108,24.79,96.4,111,4.34,11.2,3,3.02,0,no 572 | NY,112,area_code_510,no,no,0,172.1,73,29.26,228.0,136,19.38,269.4,96,12.12,14.1,3,3.81,2,no 573 | MO,16,area_code_510,no,no,0,228.3,80,38.81,130.9,75,11.13,156.7,98,7.05,8.4,9,2.27,1,no 574 | OK,116,area_code_510,no,no,0,205.0,90,34.85,140.9,114,11.98,272.6,96,12.27,7.5,4,2.03,2,no 575 | WA,55,area_code_408,no,no,0,285.7,124,48.57,230.9,106,19.63,230.7,140,10.38,14.8,7,4.0,0,yes 576 | KY,131,area_code_415,no,no,0,166.5,129,28.31,210.2,107,17.87,257.2,93,11.57,9.9,5,2.67,1,no 577 | SC,78,area_code_510,no,no,0,168.3,110,28.61,221.2,73,18.8,241.0,136,10.85,12.5,1,3.38,1,no 578 | NH,82,area_code_408,no,no,0,156.0,94,26.52,295.6,118,25.13,196.9,84,8.86,14.3,3,3.86,0,no 579 | WI,117,area_code_408,no,yes,14,80.2,81,13.63,219.0,103,18.62,122.6,102,5.52,8.6,2,2.32,1,no 580 | DE,145,area_code_415,no,no,0,189.3,113,32.18,203.7,92,17.31,218.3,103,9.82,14.2,3,3.83,5,no 581 | ME,57,area_code_510,no,yes,37,69.5,94,11.82,220.9,76,18.78,218.5,113,9.83,11.9,3,3.21,0,no 582 | DE,136,area_code_408,yes,yes,29,85.2,98,14.48,230.4,85,19.58,243.6,104,10.96,9.0,3,2.43,2,no 583 | AZ,122,area_code_510,no,yes,22,204.5,92,34.77,139.6,121,11.87,205.0,103,9.23,8.6,5,2.32,2,no 584 | LA,95,area_code_415,no,no,0,141.1,84,23.99,211.4,108,17.97,103.7,127,4.67,5.9,6,1.59,3,no 585 | NE,78,area_code_510,no,yes,32,210.3,116,35.75,192.2,83,16.34,246.1,92,11.07,10.8,4,2.92,6,no 586 | DE,96,area_code_415,no,yes,26,175.8,96,29.89,206.6,84,17.56,178.0,105,8.01,11.1,2,3.0,2,no 587 | VA,127,area_code_408,no,yes,25,173.0,91,29.41,245.8,64,20.89,300.0,99,13.5,4.8,3,1.3,0,no 588 | MD,76,area_code_415,no,no,0,179.1,110,30.45,157.2,81,13.36,240.0,109,10.8,6.5,3,1.76,0,no 589 | HI,132,area_code_415,no,no,0,140.3,144,23.85,294.8,89,25.06,153.5,126,6.91,11.7,4,3.16,2,no 590 | VA,76,area_code_510,no,yes,33,189.7,66,32.25,212.8,65,18.09,165.7,108,7.46,10.0,5,2.7,1,no 591 | IL,74,area_code_408,no,no,0,141.9,103,24.12,201.0,110,17.09,211.2,117,9.5,10.9,11,2.94,1,no 592 | AL,82,area_code_408,no,no,0,154.0,107,26.18,94.4,114,8.02,287.6,95,12.94,10.1,7,2.73,1,no 593 | MN,120,area_code_415,no,yes,31,211.0,117,35.87,238.7,77,20.29,184.5,99,8.3,14.0,8,3.78,1,no 594 | UT,96,area_code_415,no,no,0,125.8,102,21.39,244.4,111,20.77,167.7,90,7.55,9.0,2,2.43,2,no 595 | AR,173,area_code_408,no,no,0,154.6,81,26.28,147.3,100,12.52,132.9,99,5.98,6.9,5,1.86,0,no 596 | WV,44,area_code_510,no,no,0,238.3,83,40.51,193.7,112,16.46,167.7,79,7.55,9.4,6,2.54,5,no 597 | KY,76,area_code_510,no,no,0,293.8,94,49.95,169.6,62,14.42,160.4,103,7.22,13.7,9,3.7,0,yes 598 | OH,110,area_code_415,no,yes,37,227.9,80,38.74,101.9,141,8.66,188.1,110,8.46,5.1,6,1.38,0,no 599 | KS,93,area_code_415,no,no,0,266.0,120,45.22,130.1,84,11.06,165.8,63,7.46,13.1,6,3.54,3,no 600 | IL,63,area_code_415,no,yes,26,214.2,80,36.41,253.0,152,21.51,156.4,109,7.04,10.3,2,2.78,2,no 601 | CO,84,area_code_415,no,no,0,148.8,89,25.3,189.8,93,16.13,147.6,73,6.64,6.3,2,1.7,1,no 602 | VA,118,area_code_415,no,no,0,154.6,112,26.28,184.2,105,15.66,217.4,102,9.78,12.6,5,3.4,2,no 603 | NH,120,area_code_510,no,yes,43,177.9,117,30.24,175.1,70,14.88,161.3,117,7.26,11.5,4,3.11,1,no 604 | UT,141,area_code_510,no,no,0,196.5,104,33.41,175.1,111,14.88,209.6,110,9.43,14.1,4,3.81,6,no 605 | MS,101,area_code_408,no,no,0,239.0,156,40.63,273.0,106,23.21,278.2,93,12.52,13.5,8,3.65,1,yes 606 | NC,43,area_code_415,no,no,0,165.8,96,28.19,132.0,105,11.22,323.2,62,14.54,10.7,6,2.89,0,no 607 | KY,129,area_code_415,no,no,0,207.7,75,35.31,191.3,116,16.26,226.7,98,10.2,11.6,6,3.13,2,no 608 | IN,88,area_code_415,yes,yes,25,288.5,114,49.05,203.4,74,17.29,228.4,117,10.28,13.0,5,3.51,1,no 609 | VT,93,area_code_510,no,yes,32,218.7,117,37.18,115.0,61,9.78,192.7,85,8.67,9.4,5,2.54,2,no 610 | VT,116,area_code_415,no,no,0,129.4,84,22.0,157.3,89,13.37,215.5,77,9.7,13.3,3,3.59,0,no 611 | GA,85,area_code_510,no,no,0,222.3,132,37.79,231.5,101,19.68,223.5,75,10.06,11.0,2,2.97,3,no 612 | OK,46,area_code_415,no,no,0,164.2,116,27.91,196.2,153,16.68,236.1,119,10.62,8.1,1,2.19,1,no 613 | PA,97,area_code_510,yes,no,0,145.0,103,24.65,294.3,93,25.02,239.8,120,10.79,11.0,2,2.97,4,yes 614 | WY,134,area_code_510,no,no,0,296.0,93,50.32,226.4,117,19.24,246.8,98,11.11,12.3,10,3.32,0,yes 615 | ID,113,area_code_415,no,yes,30,183.8,102,31.25,183.4,123,15.59,235.0,52,10.58,11.6,7,3.13,0,no 616 | RI,158,area_code_510,no,no,0,220.9,129,37.55,242.2,108,20.59,233.3,75,10.5,6.4,5,1.73,0,no 617 | KY,73,area_code_510,no,no,0,234.7,102,39.9,195.7,110,16.63,253.4,71,11.4,8.4,8,2.27,2,no 618 | DC,63,area_code_408,no,no,0,83.0,64,14.11,177.0,106,15.05,245.7,89,11.06,13.0,3,3.51,0,no 619 | ND,90,area_code_510,no,no,0,169.4,127,28.8,157.2,111,13.36,172.4,103,7.76,10.7,2,2.89,1,no 620 | NV,105,area_code_415,yes,no,0,228.4,100,38.83,145.1,108,12.33,245.3,140,11.04,7.7,7,2.08,0,no 621 | OH,115,area_code_510,yes,no,0,345.3,81,58.7,203.4,106,17.29,217.5,107,9.79,11.8,8,3.19,1,yes 622 | ID,119,area_code_415,no,no,0,230.4,117,39.17,225.0,101,19.13,198.5,111,8.93,7.6,6,2.05,3,no 623 | AZ,83,area_code_415,no,yes,41,155.9,122,26.5,162.3,107,13.8,127.6,105,5.74,13.1,5,3.54,3,no 624 | MT,143,area_code_415,no,no,0,172.3,97,29.29,174.0,108,14.79,188.2,119,8.47,13.0,4,3.51,2,no 625 | UT,67,area_code_510,no,no,0,225.9,78,38.4,243.1,83,20.66,84.1,94,3.78,13.5,2,3.65,2,yes 626 | DC,98,area_code_415,no,no,0,162.5,81,27.63,159.2,114,13.53,157.2,97,7.07,9.7,1,2.62,2,no 627 | MA,58,area_code_408,no,yes,47,151.1,117,25.69,137.4,103,11.68,172.6,99,7.77,9.2,8,2.48,1,no 628 | KS,57,area_code_415,no,no,0,158.1,117,26.88,115.2,149,9.79,182.4,92,8.21,11.8,7,3.19,0,no 629 | OH,133,area_code_408,yes,no,0,254.7,103,43.3,252.2,80,21.44,178.1,103,8.01,8.0,3,2.16,0,yes 630 | NC,75,area_code_408,no,no,0,170.7,101,29.02,193.1,126,16.41,129.1,104,5.81,6.9,7,1.86,1,no 631 | MN,115,area_code_408,no,no,0,173.5,121,29.5,168.3,100,14.31,138.3,105,6.22,7.8,5,2.11,1,no 632 | VT,105,area_code_415,no,no,0,204.6,111,34.78,134.4,109,11.42,260.8,69,11.74,5.7,7,1.54,1,no 633 | WV,36,area_code_510,no,no,0,175.7,69,29.87,154.8,98,13.16,208.2,68,9.37,9.5,2,2.57,0,no 634 | MN,145,area_code_408,no,no,0,241.7,137,41.09,135.8,100,11.54,277.6,123,12.49,13.1,3,3.54,0,no 635 | NV,111,area_code_415,no,no,0,304.6,56,51.78,157.6,101,13.4,188.2,116,8.47,12.4,1,3.35,1,yes 636 | ME,23,area_code_510,no,no,0,113.1,74,19.23,168.8,95,14.35,262.9,126,11.83,6.9,2,1.86,1,yes 637 | MS,118,area_code_415,no,yes,26,170.8,114,29.04,199.5,125,16.96,169.7,98,7.64,9.6,5,2.59,5,yes 638 | NH,138,area_code_415,no,no,0,157.5,96,26.78,271.7,107,23.09,138.2,84,6.22,10.7,6,2.89,2,no 639 | LA,121,area_code_408,no,no,0,181.5,121,30.86,218.4,98,18.56,161.6,103,7.27,8.5,5,2.3,1,no 640 | DE,127,area_code_510,no,no,0,241.7,115,41.09,141.5,96,12.03,170.7,94,7.68,4.5,5,1.22,2,no 641 | DC,119,area_code_408,no,yes,26,132.0,100,22.44,173.3,121,14.73,203.5,108,9.16,11.6,5,3.13,1,no 642 | NH,112,area_code_415,no,no,0,124.4,109,21.15,196.1,119,16.67,166.1,89,7.47,10.2,4,2.75,2,no 643 | NV,124,area_code_415,no,no,0,234.4,61,39.85,179.3,111,15.24,285.5,117,12.85,10.4,6,2.81,3,no 644 | KY,110,area_code_408,no,no,0,244.7,84,41.6,106.4,95,9.04,194.9,61,8.77,10.5,1,2.84,2,yes 645 | OK,101,area_code_408,no,no,0,89.7,118,15.25,260.1,79,22.11,170.1,93,7.65,13.5,11,3.65,5,yes 646 | GA,132,area_code_415,no,no,0,176.7,132,30.04,244.1,80,20.75,176.3,120,7.93,9.1,4,2.46,2,no 647 | DE,139,area_code_408,no,no,0,139.0,110,23.63,132.9,93,11.3,272.0,120,12.24,12.1,1,3.27,0,no 648 | DE,79,area_code_415,no,yes,31,173.2,98,29.44,149.5,123,12.71,245.7,91,11.06,11.5,7,3.11,1,no 649 | WI,141,area_code_415,no,yes,33,168.4,127,28.63,185.1,106,15.73,220.0,78,9.9,11.0,4,2.97,2,no 650 | SD,128,area_code_408,no,yes,34,142.3,73,24.19,194.8,79,16.56,239.3,81,10.77,16.0,6,4.32,1,no 651 | MO,161,area_code_510,no,no,0,221.7,95,37.69,193.0,82,16.41,194.1,113,8.73,6.5,4,1.76,3,no 652 | DE,112,area_code_408,no,no,0,101.1,119,17.19,214.4,67,18.22,179.5,112,8.08,10.3,5,2.78,2,no 653 | RI,111,area_code_415,no,no,0,229.4,107,39.0,214.1,99,18.2,289.6,95,13.03,10.4,6,2.81,4,no 654 | TN,139,area_code_510,no,no,0,196.9,58,33.47,137.1,91,11.65,216.6,101,9.75,9.8,3,2.65,1,no 655 | DE,108,area_code_510,no,no,0,169.6,99,28.83,264.1,87,22.45,206.3,78,9.28,9.3,4,2.51,0,no 656 | NE,115,area_code_415,yes,no,0,147.7,105,25.11,184.1,68,15.65,153.5,102,6.91,12.7,5,3.43,0,no 657 | ND,131,area_code_408,no,yes,33,177.1,100,30.11,194.0,85,16.49,253.4,124,11.4,5.2,5,1.4,1,no 658 | WA,48,area_code_510,no,no,0,149.2,146,25.36,161.9,109,13.76,197.9,109,8.91,8.3,2,2.24,3,no 659 | MN,96,area_code_408,yes,no,0,188.8,119,32.1,216.9,100,18.44,208.5,116,9.38,5.8,3,1.57,3,no 660 | AR,58,area_code_415,no,no,0,238.9,107,40.61,187.2,88,15.91,181.1,84,8.15,11.8,3,3.19,2,no 661 | IN,113,area_code_415,no,no,0,209.4,151,35.6,347.3,113,29.52,246.0,116,11.07,7.4,2,2.0,1,yes 662 | WV,67,area_code_408,no,no,0,167.8,91,28.53,167.7,69,14.25,110.3,71,4.96,8.4,12,2.27,1,no 663 | NV,70,area_code_415,no,no,0,205.7,80,34.97,221.4,103,18.82,206.2,117,9.28,14.2,5,3.83,2,no 664 | OH,72,area_code_510,no,no,0,138.9,111,23.61,211.6,102,17.99,179.5,91,8.08,10.8,3,2.92,1,no 665 | ID,127,area_code_408,no,no,0,189.7,110,32.25,142.4,116,12.1,175.2,79,7.88,8.5,8,2.3,2,no 666 | ME,119,area_code_510,no,no,0,73.7,66,12.53,160.5,132,13.64,214.2,67,9.64,13.0,6,3.51,3,no 667 | IN,105,area_code_510,no,yes,42,101.9,79,17.32,223.1,97,18.96,241.6,77,10.87,12.9,2,3.48,0,no 668 | GA,56,area_code_415,no,yes,30,127.1,89,21.61,172.1,116,14.63,194.6,111,8.76,12.1,3,3.27,1,no 669 | NJ,80,area_code_415,no,no,0,268.7,120,45.68,301.0,147,25.59,167.0,140,7.52,5.8,1,1.57,2,yes 670 | UT,83,area_code_510,no,no,0,208.9,71,35.51,214.8,92,18.26,247.9,108,11.16,13.0,5,3.51,1,no 671 | IN,32,area_code_415,no,no,0,103.6,78,17.61,238.5,115,20.27,186.9,70,8.41,11.0,4,2.97,2,no 672 | IA,64,area_code_415,no,yes,43,118.4,100,20.13,144.1,108,12.25,158.1,91,7.11,8.5,6,2.3,1,no 673 | TN,130,area_code_415,no,yes,12,141.9,92,24.12,228.9,102,19.46,195.1,101,8.78,8.7,5,2.35,0,no 674 | ME,81,area_code_415,yes,no,0,220.4,76,37.47,276.4,122,23.49,239.5,112,10.78,11.4,5,3.08,1,yes 675 | OR,12,area_code_415,no,no,0,204.6,98,34.78,212.5,90,18.06,182.1,95,8.19,9.8,7,2.65,2,no 676 | TN,114,area_code_415,no,no,0,108.3,95,18.41,168.3,104,14.31,153.1,109,6.89,9.1,2,2.46,1,no 677 | OK,139,area_code_510,no,no,0,148.7,90,25.28,204.3,106,17.37,144.1,105,6.48,9.8,4,2.65,2,no 678 | GA,70,area_code_415,no,yes,20,230.2,110,39.13,177.5,111,15.09,206.3,38,9.28,11.9,2,3.21,0,no 679 | TX,65,area_code_415,no,no,0,217.9,89,37.04,238.8,101,20.3,194.4,105,8.75,6.6,4,1.78,0,no 680 | ME,100,area_code_510,no,no,0,264.5,117,44.97,194.0,111,16.49,262.7,111,11.82,7.5,4,2.03,2,yes 681 | TN,61,area_code_415,no,yes,38,139.8,108,23.77,58.3,120,4.96,203.4,160,9.15,9.7,1,2.62,3,no 682 | ID,46,area_code_415,no,no,0,124.8,133,21.22,157.3,143,13.37,199.3,72,8.97,8.6,4,2.32,2,no 683 | CO,80,area_code_415,no,no,0,194.8,116,33.12,209.9,93,17.84,194.1,100,8.73,12.8,3,3.46,0,no 684 | WV,113,area_code_415,no,no,0,61.2,111,10.4,92.3,88,7.85,197.4,114,8.88,13.7,3,3.7,5,yes 685 | WV,70,area_code_510,no,yes,30,143.4,72,24.38,170.0,92,14.45,127.9,68,5.76,9.4,4,2.54,3,no 686 | AK,132,area_code_415,no,yes,39,175.7,93,29.87,187.2,94,15.91,225.5,118,10.15,8.6,3,2.32,2,no 687 | MI,93,area_code_415,yes,no,0,216.9,61,36.87,207.4,120,17.63,221.7,110,9.98,17.5,5,4.73,1,yes 688 | MA,34,area_code_415,no,no,0,293.7,89,49.93,272.5,71,23.16,178.2,76,8.02,11.0,10,2.97,2,yes 689 | AL,167,area_code_510,no,no,0,207.6,88,35.29,132.4,63,11.25,255.2,98,11.48,14.1,5,3.81,0,no 690 | SC,36,area_code_415,no,no,0,184.6,132,31.38,193.7,69,16.46,283.5,83,12.76,5.9,3,1.59,1,no 691 | MD,115,area_code_408,no,no,0,254.8,97,43.32,153.5,110,13.05,217.6,117,9.79,9.0,4,2.43,1,no 692 | NC,111,area_code_415,no,no,0,162.1,98,27.56,217.6,87,18.5,264.1,107,11.88,7.7,1,2.08,0,no 693 | HI,161,area_code_408,no,no,0,165.4,88,28.12,209.7,111,17.82,270.7,129,12.18,10.5,3,2.84,4,no 694 | NH,95,area_code_510,no,no,0,142.5,109,24.23,176.1,107,14.97,189.6,88,8.53,8.2,3,2.21,2,no 695 | DE,87,area_code_415,no,yes,28,202.7,124,34.46,248.9,98,21.16,184.7,50,8.31,14.7,6,3.97,1,no 696 | KS,124,area_code_510,no,no,0,247.2,84,42.02,161.9,130,13.76,170.3,73,7.66,6.1,6,1.65,1,no 697 | MA,40,area_code_408,no,yes,31,224.7,69,38.2,134.5,81,11.43,120.3,104,5.41,7.5,5,2.03,1,yes 698 | MN,51,area_code_510,no,no,0,259.9,114,44.18,176.2,94,14.98,77.2,112,3.47,15.3,1,4.13,1,no 699 | UT,39,area_code_408,no,no,0,157.2,81,26.72,247.7,131,21.05,215.7,141,9.71,9.9,9,2.67,1,no 700 | MS,126,area_code_415,no,no,0,228.7,102,38.88,168.7,99,14.34,223.5,100,10.06,11.8,4,3.19,1,no 701 | OK,84,area_code_510,no,no,0,203.4,125,34.58,182.9,88,15.55,213.7,121,9.62,13.8,2,3.73,1,no 702 | WV,36,area_code_408,no,no,0,175.1,144,29.77,216.9,69,18.44,243.7,146,10.97,9.9,3,2.67,1,no 703 | MT,143,area_code_408,no,yes,22,141.8,116,24.11,167.3,99,14.22,178.1,130,8.01,7.8,3,2.11,1,no 704 | FL,106,area_code_408,no,no,0,178.4,143,30.33,247.0,123,21.0,259.9,105,11.7,9.6,2,2.59,0,no 705 | MN,117,area_code_408,no,no,0,161.6,104,27.47,196.3,119,16.69,294.8,111,13.27,13.8,2,3.73,1,no 706 | DE,129,area_code_408,no,no,0,161.3,122,27.42,220.6,95,18.75,224.7,104,10.11,9.6,3,2.59,1,no 707 | AK,146,area_code_510,yes,no,0,133.0,65,22.61,262.8,93,22.34,214.3,128,9.64,11.2,3,3.02,1,no 708 | ID,105,area_code_408,no,no,0,232.6,96,39.54,253.4,117,21.54,154.0,101,6.93,10.5,9,2.84,1,no 709 | MN,117,area_code_408,no,yes,21,153.2,112,26.04,263.3,110,22.38,135.0,85,6.08,11.9,7,3.21,1,no 710 | MO,120,area_code_408,no,no,0,121.0,139,20.57,270.4,121,22.98,141.0,90,6.35,5.3,8,1.43,1,no 711 | SD,87,area_code_415,no,yes,21,214.0,113,36.38,180.0,114,15.3,134.5,82,6.05,10.6,5,2.86,0,no 712 | VA,50,area_code_415,yes,no,0,99.6,108,16.93,308.7,102,26.24,161.2,62,7.25,13.7,6,3.7,2,yes 713 | NE,46,area_code_408,no,no,0,210.2,92,35.73,227.3,77,19.32,200.1,116,9.0,13.1,7,3.54,1,no 714 | VA,136,area_code_415,no,yes,35,205.5,86,34.94,298.5,119,25.37,214.2,104,9.64,6.9,4,1.86,1,no 715 | VT,78,area_code_408,no,yes,38,199.0,96,33.83,75.5,93,6.42,180.2,78,8.11,7.5,7,2.03,1,no 716 | NY,64,area_code_415,yes,no,0,346.8,55,58.96,249.5,79,21.21,275.4,102,12.39,13.3,9,3.59,1,yes 717 | PA,79,area_code_415,no,no,0,268.3,114,45.61,185.5,111,15.77,264.6,88,11.91,6.3,7,1.7,1,yes 718 | VA,103,area_code_415,no,no,0,228.4,103,38.83,97.3,129,8.27,199.9,67,9.0,9.4,7,2.54,3,no 719 | SC,209,area_code_510,no,no,0,255.1,124,43.37,230.6,110,19.6,218.0,69,9.81,8.5,5,2.3,3,yes 720 | MD,129,area_code_415,no,yes,34,204.5,79,34.77,132.8,113,11.29,190.1,117,8.55,14.8,9,4.0,2,no 721 | TN,105,area_code_510,no,no,0,119.3,82,20.28,185.1,111,15.73,157.0,74,7.07,10.9,4,2.94,2,no 722 | AL,141,area_code_408,no,no,0,242.8,90,41.28,234.1,80,19.9,211.5,104,9.52,6.0,3,1.62,5,no 723 | NY,90,area_code_415,no,no,0,180.0,58,30.6,229.4,88,19.5,162.2,110,7.3,13.2,9,3.56,1,no 724 | VT,125,area_code_415,no,no,0,126.7,113,21.54,155.5,131,13.22,206.2,112,9.28,14.4,7,3.89,2,no 725 | ME,78,area_code_415,no,no,0,252.9,93,42.99,178.4,112,15.16,263.9,105,11.88,9.5,7,2.57,3,no 726 | IA,66,area_code_510,no,no,0,256.3,135,43.57,180.2,106,15.32,187.3,135,8.43,6.2,7,1.67,2,no 727 | MA,77,area_code_408,no,yes,17,204.9,84,34.83,201.0,102,17.09,219.7,97,9.89,11.3,5,3.05,0,no 728 | WY,161,area_code_415,yes,no,0,189.6,78,32.23,267.4,117,22.73,184.5,137,8.3,1.3,6,0.35,1,no 729 | SC,149,area_code_415,no,yes,20,147.8,132,25.13,276.8,94,23.53,149.9,110,6.75,10.2,6,2.75,0,no 730 | CT,50,area_code_408,no,no,0,301.7,82,51.29,167.1,118,14.2,72.2,89,3.25,10.5,6,2.84,1,no 731 | NJ,60,area_code_415,yes,no,0,97.2,91,16.52,243.7,93,20.71,235.0,116,10.58,10.1,2,2.73,1,yes 732 | NJ,115,area_code_510,no,no,0,156.8,104,26.66,264.7,84,22.5,249.0,112,11.21,7.4,8,2.0,0,no 733 | LA,91,area_code_415,no,no,0,190.5,128,32.39,205.5,103,17.47,130.7,63,5.88,13.8,5,3.73,0,no 734 | UT,83,area_code_510,no,yes,33,228.2,85,38.79,249.2,114,21.18,93.5,89,4.21,10.2,7,2.75,0,no 735 | VT,101,area_code_510,no,no,0,0.0,0,0.0,192.1,119,16.33,168.8,95,7.6,7.2,4,1.94,1,no 736 | MN,75,area_code_415,no,no,0,225.3,124,38.3,228.0,81,19.38,254.3,106,11.44,11.7,3,3.16,1,no 737 | OH,103,area_code_415,no,yes,40,164.5,95,27.97,228.7,82,19.44,194.7,97,8.76,7.4,1,2.0,4,no 738 | SD,168,area_code_415,no,yes,22,175.9,70,29.9,211.7,105,17.99,174.5,81,7.85,7.3,5,1.97,2,no 739 | ID,122,area_code_510,no,yes,33,270.8,96,46.04,220.4,110,18.73,169.9,104,7.65,11.8,8,3.19,4,no 740 | TX,217,area_code_408,no,no,0,176.4,115,29.99,158.8,128,13.5,306.6,107,13.8,9.3,3,2.51,4,no 741 | UT,96,area_code_415,no,no,0,160.2,117,27.23,267.5,67,22.74,228.5,68,10.28,9.3,5,2.51,2,no 742 | TN,123,area_code_415,no,yes,34,305.2,80,51.88,156.5,109,13.3,280.0,81,12.6,13.2,7,3.56,1,no 743 | WY,123,area_code_415,no,no,0,242.2,87,41.17,226.1,101,19.22,268.6,121,12.09,8.2,3,2.21,5,yes 744 | ID,61,area_code_415,no,no,0,234.6,126,39.88,200.7,76,17.06,171.1,81,7.7,8.1,2,2.19,0,no 745 | NC,135,area_code_415,no,no,0,201.8,81,34.31,225.0,114,19.13,204.4,82,9.2,10.3,6,2.78,1,no 746 | TN,98,area_code_415,no,no,0,162.8,65,27.68,185.0,109,15.73,219.5,104,9.88,6.0,3,1.62,2,no 747 | AL,102,area_code_408,no,no,0,224.7,81,38.2,129.4,112,11.0,167.6,109,7.54,15.8,6,4.27,1,no 748 | GA,120,area_code_510,no,no,0,147.7,101,25.11,144.1,71,12.25,237.0,115,10.67,11.1,5,3.0,0,no 749 | MN,136,area_code_415,no,no,0,221.4,120,37.64,249.5,78,21.21,192.0,68,8.64,13.6,2,3.67,0,no 750 | SC,111,area_code_415,no,yes,21,127.1,94,21.61,228.3,116,19.41,166.7,108,7.5,7.1,3,1.92,1,no 751 | PA,119,area_code_408,no,no,0,260.1,101,44.22,256.5,68,21.8,229.1,89,10.31,10.0,2,2.7,1,yes 752 | AR,156,area_code_510,no,no,0,189.4,114,32.2,145.7,96,12.38,192.8,121,8.68,4.5,13,1.22,0,no 753 | NM,16,area_code_510,no,no,0,144.8,84,24.62,164.9,141,14.02,231.5,75,10.42,8.2,4,2.21,2,no 754 | MS,123,area_code_415,yes,no,0,125.5,106,21.34,128.9,96,10.96,251.9,129,11.34,6.3,6,1.7,4,yes 755 | NY,167,area_code_415,no,no,0,166.4,85,28.29,243.2,135,20.67,229.2,95,10.31,9.9,5,2.67,1,no 756 | CT,34,area_code_510,no,yes,26,193.4,91,32.88,198.3,94,16.86,257.2,94,11.57,9.5,5,2.57,2,no 757 | MT,125,area_code_510,no,no,0,143.2,80,24.34,88.1,94,7.49,233.2,135,10.49,8.8,7,2.38,4,yes 758 | AK,58,area_code_510,no,no,0,131.9,96,22.42,167.6,107,14.25,205.9,106,9.27,14.7,5,3.97,3,no 759 | WV,160,area_code_408,no,yes,37,179.8,104,30.57,144.8,115,12.31,209.1,89,9.41,11.1,8,3.0,3,no 760 | WV,85,area_code_415,no,no,0,116.9,75,19.87,183.3,109,15.58,307.4,119,13.83,10.0,8,2.7,2,no 761 | NY,171,area_code_415,no,no,0,137.5,110,23.38,198.1,109,16.84,292.7,131,13.17,13.3,5,3.59,2,no 762 | KY,57,area_code_415,no,yes,29,279.9,121,47.58,223.1,109,18.96,251.7,94,11.33,13.0,2,3.51,1,no 763 | MO,38,area_code_510,no,no,0,281.1,113,47.79,236.1,82,20.07,230.1,60,10.35,10.9,3,2.94,1,yes 764 | SC,77,area_code_415,no,no,0,175.8,116,29.89,156.2,125,13.28,237.4,106,10.68,5.0,4,1.35,0,no 765 | CT,147,area_code_415,no,no,0,124.4,74,21.15,320.9,78,27.28,157.2,126,7.07,10.4,4,2.81,2,no 766 | OK,116,area_code_408,no,no,0,211.3,91,35.92,190.9,116,16.23,184.1,134,8.28,6.3,4,1.7,2,no 767 | MS,69,area_code_510,no,yes,27,268.8,78,45.7,246.6,89,20.96,271.9,102,12.24,16.4,3,4.43,0,no 768 | NH,54,area_code_510,no,no,0,210.5,102,35.79,204.5,83,17.38,127.8,53,5.75,8.5,5,2.3,1,no 769 | NH,148,area_code_510,no,no,0,168.8,102,28.7,248.1,125,21.09,250.7,96,11.28,10.6,4,2.86,1,no 770 | KS,170,area_code_415,no,yes,42,199.5,119,33.92,135.0,90,11.48,184.6,49,8.31,10.9,3,2.94,4,yes 771 | OH,92,area_code_415,no,no,0,145.9,90,24.8,148.1,105,12.59,241.3,93,10.86,8.4,1,2.27,2,no 772 | OH,109,area_code_415,no,no,0,193.6,58,32.91,148.7,115,12.64,282.5,105,12.71,13.1,1,3.54,2,no 773 | MN,46,area_code_408,no,no,0,156.4,105,26.59,185.5,98,15.77,226.7,96,10.2,11.8,3,3.19,1,no 774 | MS,124,area_code_415,no,no,0,251.5,85,42.76,214.2,98,18.21,186.1,71,8.37,11.1,6,3.0,3,no 775 | SD,131,area_code_510,no,no,0,187.9,110,31.94,200.5,101,17.04,202.6,125,9.12,10.2,11,2.75,2,no 776 | ND,84,area_code_415,no,yes,33,159.1,106,27.05,149.8,101,12.73,213.4,108,9.6,13.0,18,3.51,1,no 777 | AL,13,area_code_415,no,no,0,143.1,139,24.33,239.6,88,20.37,221.7,123,9.98,7.1,5,1.92,2,no 778 | WI,94,area_code_510,no,no,0,177.1,112,30.11,194.0,112,16.49,146.7,108,6.6,5.9,4,1.59,1,no 779 | OK,92,area_code_510,no,no,0,176.3,85,29.97,93.4,125,7.94,207.2,107,9.32,9.6,1,2.59,2,no 780 | CT,115,area_code_415,no,no,0,245.0,97,41.65,250.7,75,21.31,270.2,124,12.16,13.7,8,3.7,1,yes 781 | CA,96,area_code_510,no,yes,31,183.4,126,31.18,195.5,106,16.62,180.1,93,8.1,10.5,5,2.84,1,no 782 | VA,163,area_code_415,no,no,0,202.9,100,34.49,178.6,46,15.18,203.8,116,9.17,12.8,3,3.46,5,no 783 | AL,148,area_code_415,no,yes,21,262.9,135,44.69,149.5,96,12.71,140.5,109,6.32,8.1,4,2.19,1,no 784 | ME,79,area_code_510,yes,no,0,300.4,113,51.07,210.8,93,17.92,173.4,121,7.8,11.9,3,3.21,2,yes 785 | NH,100,area_code_408,no,no,0,218.8,125,37.2,148.3,102,12.61,277.8,97,12.5,9.7,6,2.62,1,no 786 | HI,72,area_code_415,no,no,0,109.1,97,18.55,115.7,96,9.83,295.8,84,13.31,8.3,6,2.24,0,no 787 | NJ,59,area_code_510,yes,yes,31,225.0,78,38.25,191.3,79,16.26,226.7,79,10.2,9.1,3,2.46,1,no 788 | SC,159,area_code_415,no,yes,23,153.6,93,26.11,216.9,88,18.44,161.3,91,7.26,12.6,3,3.4,2,no 789 | CT,134,area_code_408,no,no,0,177.2,91,30.12,228.7,105,19.44,194.3,113,8.74,8.9,3,2.4,2,no 790 | NJ,45,area_code_510,no,no,0,155.7,110,26.47,260.3,103,22.13,192.2,98,8.65,11.0,1,2.97,1,no 791 | MT,113,area_code_415,no,no,0,215.9,93,36.7,240.1,85,20.41,156.7,123,7.05,4.9,5,1.32,3,no 792 | DC,103,area_code_510,no,yes,31,107.7,124,18.31,188.9,104,16.06,196.2,98,8.83,8.9,3,2.4,0,no 793 | DC,121,area_code_408,no,no,0,168.6,121,28.66,168.6,94,14.33,95.3,59,4.29,12.3,4,3.32,1,no 794 | MS,155,area_code_408,no,no,0,163.0,93,27.71,203.9,102,17.33,159.0,109,7.15,15.1,4,4.08,2,no 795 | OK,103,area_code_415,no,no,0,278.4,121,47.33,252.2,139,21.44,202.3,96,9.1,13.7,1,3.7,1,yes 796 | IN,91,area_code_415,no,no,0,289.3,73,49.18,179.8,86,15.28,186.7,94,8.4,6.4,7,1.73,1,yes 797 | ID,109,area_code_415,no,no,0,184.1,143,31.3,211.7,105,17.99,243.0,116,10.93,9.9,2,2.67,1,no 798 | DE,94,area_code_415,no,yes,38,220.0,102,37.4,180.3,119,15.33,136.2,90,6.13,10.3,2,2.78,1,no 799 | VT,113,area_code_510,no,no,0,207.2,113,35.22,256.0,80,21.76,211.0,87,9.49,9.9,1,2.67,1,no 800 | MO,80,area_code_408,yes,yes,15,159.3,110,27.08,170.6,120,14.5,141.2,82,6.35,11.9,5,3.21,1,no 801 | VA,128,area_code_415,no,no,0,216.0,111,36.72,153.7,115,13.06,227.0,74,10.22,12.7,4,3.43,1,no 802 | DE,74,area_code_415,no,yes,38,176.0,84,29.92,288.2,103,24.5,178.2,86,8.02,14.8,5,4.0,2,no 803 | MS,68,area_code_415,no,yes,34,160.0,72,27.2,184.5,119,15.68,208.3,101,9.37,6.1,10,1.65,1,no 804 | MI,100,area_code_510,no,yes,21,86.1,95,14.64,189.9,126,16.14,201.3,113,9.06,11.7,4,3.16,0,no 805 | KS,126,area_code_408,no,no,0,321.3,99,54.62,167.9,93,14.27,193.6,106,8.71,8.0,4,2.16,1,yes 806 | WY,120,area_code_415,no,yes,24,227.5,81,38.68,234.9,71,19.97,166.4,128,7.49,9.0,13,2.43,1,no 807 | LA,179,area_code_408,no,no,0,219.2,92,37.26,149.4,125,12.7,244.7,104,11.01,6.1,5,1.65,0,no 808 | TN,67,area_code_415,no,no,0,179.8,125,30.57,173.2,86,14.72,272.8,97,12.28,10.9,4,2.94,0,no 809 | AL,87,area_code_408,no,no,0,237.2,124,40.32,222.6,87,18.92,173.3,81,7.8,11.0,3,2.97,1,no 810 | NE,159,area_code_415,no,no,0,189.1,105,32.15,246.1,147,20.92,242.0,106,10.89,10.4,5,2.81,1,yes 811 | GA,122,area_code_408,no,no,0,158.2,95,26.89,178.5,113,15.17,154.3,76,6.94,8.5,5,2.3,2,no 812 | NC,109,area_code_510,yes,no,0,209.1,141,35.55,205.0,93,17.43,119.4,111,5.37,7.8,3,2.11,2,no 813 | WV,44,area_code_510,no,no,0,228.1,121,38.78,276.5,79,23.5,279.8,77,12.59,9.9,5,2.67,2,yes 814 | RI,63,area_code_415,no,no,0,180.5,126,30.69,230.0,98,19.55,232.5,73,10.46,10.6,3,2.86,0,no 815 | SC,106,area_code_408,no,no,0,52.2,106,8.87,220.1,113,18.71,112.3,95,5.05,11.4,2,3.08,2,no 816 | ND,182,area_code_415,no,no,0,104.9,111,17.83,198.5,120,16.87,258.2,91,11.62,8.0,5,2.16,2,no 817 | KS,143,area_code_408,no,yes,24,186.6,69,31.72,222.0,116,18.87,234.9,138,10.57,11.6,5,3.13,1,no 818 | OH,97,area_code_408,no,no,0,256.4,125,43.59,273.9,100,23.28,222.7,101,10.02,11.1,1,3.0,1,yes 819 | MI,108,area_code_408,yes,no,0,115.1,114,19.57,211.3,70,17.96,136.1,85,6.12,13.8,3,3.73,2,yes 820 | KY,7,area_code_510,no,yes,33,211.8,99,36.01,170.9,110,14.53,244.2,125,10.99,11.2,4,3.02,2,no 821 | MD,79,area_code_415,no,no,0,81.2,91,13.8,215.7,126,18.33,245.9,85,11.07,10.9,4,2.94,1,no 822 | DE,73,area_code_415,no,no,0,254.8,85,43.32,143.4,80,12.19,153.9,102,6.93,15.0,7,4.05,2,no 823 | TN,108,area_code_510,no,yes,34,162.1,83,27.56,171.8,117,14.6,259.8,76,11.69,9.6,3,2.59,4,yes 824 | KS,39,area_code_408,no,no,0,181.2,71,30.8,344.9,108,29.32,213.6,145,9.61,12.1,2,3.27,3,no 825 | DE,125,area_code_408,no,no,0,126.7,108,21.54,206.0,90,17.51,247.8,114,11.15,13.3,7,3.59,1,no 826 | AZ,76,area_code_408,no,yes,12,98.4,100,16.73,187.5,119,15.94,177.0,68,7.97,15.1,3,4.08,1,no 827 | NJ,165,area_code_415,no,yes,17,177.9,68,30.24,153.9,112,13.08,251.2,121,11.3,10.6,7,2.86,1,no 828 | MT,63,area_code_415,no,yes,33,184.2,111,31.31,312.6,89,26.57,264.0,55,11.88,12.2,4,3.29,1,no 829 | WV,84,area_code_408,no,no,0,146.8,133,24.96,171.7,73,14.59,234.5,69,10.55,9.9,3,2.67,1,no 830 | KY,115,area_code_510,no,no,0,99.7,107,16.95,145.1,96,12.33,149.4,99,6.72,14.1,4,3.81,2,no 831 | ID,88,area_code_415,no,no,0,55.6,65,9.45,242.7,121,20.63,176.3,134,7.93,11.3,4,3.05,0,no 832 | PA,137,area_code_415,no,yes,25,174.6,88,29.68,243.8,118,20.72,259.7,103,11.69,12.2,3,3.29,3,no 833 | NH,163,area_code_415,no,yes,39,268.1,104,45.58,216.6,65,18.41,359.9,118,16.2,11.4,4,3.08,0,no 834 | NV,116,area_code_408,no,no,0,110.9,54,18.85,213.4,82,18.14,186.2,116,8.38,7.9,2,2.13,2,no 835 | PA,135,area_code_415,no,yes,46,172.6,77,29.34,203.4,102,17.29,264.2,108,11.89,10.4,2,2.81,1,no 836 | ID,137,area_code_510,no,no,0,203.1,97,34.53,132.0,76,11.22,250.9,94,11.29,9.2,4,2.48,4,no 837 | NV,116,area_code_510,no,yes,35,118.0,103,20.06,167.2,106,14.21,205.7,102,9.26,11.8,2,3.19,2,no 838 | RI,119,area_code_415,no,yes,29,117.8,66,20.03,256.8,114,21.83,147.6,76,6.64,7.6,3,2.05,3,no 839 | WA,83,area_code_408,no,no,0,134.8,96,22.92,167.2,78,14.21,161.5,123,7.27,7.7,5,2.08,2,no 840 | UT,96,area_code_408,no,yes,26,145.8,108,24.79,192.2,89,16.34,165.1,96,7.43,9.9,2,2.67,1,no 841 | TN,129,area_code_408,no,no,0,101.4,145,17.24,249.1,116,21.17,157.6,107,7.09,7.1,6,1.92,1,no 842 | AZ,97,area_code_415,no,no,0,100.8,74,17.14,233.8,88,19.87,208.7,79,9.39,12.6,3,3.4,2,no 843 | PA,28,area_code_415,no,no,0,168.2,87,28.59,161.7,92,13.74,192.4,112,8.66,10.1,3,2.73,3,no 844 | FL,99,area_code_408,no,no,0,155.3,93,26.4,265.7,95,22.58,145.7,67,6.56,12.4,4,3.35,0,no 845 | RI,121,area_code_415,no,yes,22,212.3,107,36.09,238.0,94,20.23,332.8,114,14.98,10.4,2,2.81,1,no 846 | KS,117,area_code_510,no,yes,25,216.0,140,36.72,224.1,69,19.05,267.9,112,12.06,11.8,4,3.19,0,no 847 | ID,135,area_code_510,no,no,0,154.4,130,26.25,203.8,90,17.32,158.7,59,7.14,11.8,3,3.19,0,no 848 | NH,131,area_code_415,no,no,0,55.5,79,9.44,163.5,104,13.9,128.1,59,5.76,10.1,4,2.73,1,no 849 | SC,78,area_code_415,no,yes,21,160.6,85,27.3,223.1,79,18.96,124.0,92,5.58,9.5,1,2.57,2,no 850 | TN,222,area_code_408,no,yes,34,218.5,89,37.15,160.7,76,13.66,181.6,76,8.17,4.9,5,1.32,4,no 851 | AL,88,area_code_415,no,no,0,181.9,90,30.92,151.5,87,12.88,143.0,100,6.44,7.5,3,2.03,1,no 852 | MI,76,area_code_415,no,yes,37,190.8,58,32.44,221.9,101,18.86,211.2,104,9.5,12.3,4,3.32,1,no 853 | OK,35,area_code_415,no,no,0,179.2,59,30.46,283.3,101,24.08,285.4,83,12.84,5.8,7,1.57,2,no 854 | MA,72,area_code_415,no,no,0,141.9,98,24.12,188.1,63,15.99,115.2,49,5.18,12.0,5,3.24,2,no 855 | ME,80,area_code_408,no,yes,31,166.4,92,28.29,238.3,74,20.26,150.7,84,6.78,10.7,4,2.89,4,no 856 | NJ,125,area_code_415,no,no,0,182.3,64,30.99,139.8,121,11.88,171.6,96,7.72,11.6,7,3.13,2,no 857 | NV,92,area_code_415,no,yes,44,152.0,95,25.84,274.9,73,23.37,162.4,121,7.31,10.0,1,2.7,2,no 858 | WA,166,area_code_408,yes,yes,35,128.2,138,21.79,274.5,113,23.33,298.9,130,13.45,8.8,7,2.38,2,no 859 | NE,194,area_code_408,no,no,0,48.4,101,8.23,281.1,138,23.89,218.5,87,9.83,18.2,1,4.91,1,no 860 | MT,127,area_code_408,no,no,0,271.2,110,46.1,213.5,80,18.15,201.8,102,9.08,13.2,4,3.56,0,yes 861 | MN,80,area_code_415,no,no,0,105.8,110,17.99,43.9,88,3.73,189.6,87,8.53,13.1,5,3.54,0,no 862 | WA,81,area_code_415,no,no,0,183.6,116,31.21,152.6,98,12.97,212.2,99,9.55,12.2,6,3.29,3,no 863 | WA,137,area_code_408,no,no,0,208.8,120,35.5,225.3,100,19.15,221.6,130,9.97,11.1,5,3.0,0,no 864 | WY,62,area_code_415,no,no,0,238.9,102,40.61,161.4,115,13.72,248.5,103,11.18,13.4,4,3.62,0,no 865 | NJ,153,area_code_415,no,no,0,193.8,90,32.95,195.3,121,16.6,182.7,108,8.22,8.5,3,2.3,1,no 866 | WI,16,area_code_510,no,no,0,229.6,78,39.03,205.7,108,17.48,166.2,91,7.48,10.8,2,2.92,0,yes 867 | OR,61,area_code_415,no,no,0,234.2,76,39.81,216.7,108,18.42,130.6,122,5.88,13.9,2,3.75,1,no 868 | PA,141,area_code_510,no,no,0,146.5,121,24.91,169.9,125,14.44,238.8,112,10.75,8.2,5,2.21,0,no 869 | MA,129,area_code_510,yes,no,0,192.9,131,32.79,185.5,101,15.77,205.2,130,9.23,10.9,4,2.94,1,no 870 | MD,125,area_code_408,no,no,0,137.1,94,23.31,209.8,83,17.83,238.4,114,10.73,8.6,4,2.32,1,no 871 | GA,73,area_code_408,no,no,0,157.6,92,26.79,198.3,87,16.86,364.9,106,16.42,9.1,4,2.46,1,no 872 | PA,52,area_code_408,no,no,0,215.9,67,36.7,217.0,108,18.45,342.8,130,15.43,5.2,2,1.4,1,no 873 | MA,136,area_code_408,yes,no,0,199.6,89,33.93,211.4,96,17.97,72.4,84,3.26,11.0,4,2.97,3,yes 874 | MT,142,area_code_415,no,yes,22,198.3,144,33.71,157.2,96,13.36,180.9,114,8.14,11.1,4,3.0,2,no 875 | NC,110,area_code_408,no,no,0,159.5,145,27.12,202.3,101,17.2,256.0,96,11.52,16.7,2,4.51,2,no 876 | WV,93,area_code_415,no,no,0,141.7,95,24.09,221.0,100,18.79,227.1,71,10.22,10.2,3,2.75,0,no 877 | MO,136,area_code_415,no,no,0,92.4,109,15.71,219.0,115,18.62,212.6,80,9.57,12.9,4,3.48,2,no 878 | NC,64,area_code_408,no,yes,19,180.1,106,30.62,127.5,92,10.84,237.4,118,10.68,7.5,3,2.03,0,no 879 | NV,134,area_code_415,no,no,0,199.7,107,33.95,205.8,86,17.49,198.8,125,8.95,8.3,5,2.24,0,no 880 | CA,103,area_code_415,no,yes,18,149.9,84,25.48,170.9,84,14.53,171.5,112,7.72,11.5,7,3.11,0,yes 881 | NE,85,area_code_415,no,no,0,259.8,85,44.17,242.3,117,20.6,168.8,72,7.6,5.4,1,1.46,0,no 882 | WV,3,area_code_408,no,no,0,182.9,87,31.09,172.1,103,14.63,233.1,89,10.49,12.1,3,3.27,4,no 883 | MA,47,area_code_415,no,no,0,155.3,116,26.4,188.2,85,16.0,247.0,73,11.12,12.3,4,3.32,3,no 884 | IN,185,area_code_415,no,no,0,89.4,77,15.2,288.9,128,24.56,162.9,93,7.33,10.4,2,2.81,3,no 885 | MI,51,area_code_415,no,no,0,229.7,129,39.05,336.0,104,28.56,192.8,128,8.68,9.6,1,2.59,1,yes 886 | RI,74,area_code_415,no,no,0,187.7,127,31.91,163.4,148,13.89,196.0,94,8.82,9.1,5,2.46,0,no 887 | WI,87,area_code_415,no,no,0,238.0,97,40.46,164.5,97,13.98,282.5,132,12.71,10.6,6,2.86,2,no 888 | CO,137,area_code_415,no,no,0,127.0,107,21.59,323.2,75,27.47,143.9,127,6.48,7.5,2,2.03,1,no 889 | WI,133,area_code_510,no,no,0,187.0,65,31.79,141.4,128,12.02,238.2,108,10.72,10.0,8,2.7,2,no 890 | RI,116,area_code_510,no,no,0,137.4,126,23.36,120.0,94,10.2,130.3,64,5.86,12.4,2,3.35,3,no 891 | PA,137,area_code_415,no,no,0,248.3,63,42.21,250.4,108,21.28,159.1,94,7.16,9.6,4,2.59,1,no 892 | LA,158,area_code_408,no,no,0,202.0,126,34.34,163.5,86,13.9,195.4,84,8.79,10.4,6,2.81,1,no 893 | DC,136,area_code_510,no,no,0,204.5,63,34.77,208.8,95,17.75,224.0,119,10.08,9.8,2,2.65,0,no 894 | WV,159,area_code_415,no,no,0,181.0,107,30.77,188.4,114,16.01,175.8,41,7.91,9.9,4,2.67,7,no 895 | TX,46,area_code_415,no,no,0,230.7,117,39.22,186.2,84,15.83,182.2,109,8.2,9.2,4,2.48,2,no 896 | ID,127,area_code_408,no,no,0,102.8,128,17.48,143.7,95,12.21,191.4,97,8.61,10.0,5,2.7,1,no 897 | MS,66,area_code_408,no,yes,32,187.8,117,31.93,129.8,90,11.03,132.3,113,5.95,12.0,3,3.24,2,no 898 | KS,137,area_code_408,no,no,0,205.9,88,35.0,209.3,86,17.79,289.9,84,13.05,14.5,4,3.92,2,no 899 | NJ,107,area_code_415,no,no,0,212.1,95,36.06,150.1,88,12.76,219.8,111,9.89,7.7,2,2.08,3,no 900 | AZ,93,area_code_415,no,no,0,271.6,71,46.17,229.4,108,19.5,77.3,121,3.48,10.9,3,2.94,2,no 901 | NV,78,area_code_408,no,no,0,75.0,116,12.75,248.7,87,21.14,176.0,83,7.92,9.5,6,2.57,3,no 902 | MD,77,area_code_415,no,no,0,205.3,69,34.9,171.0,84,14.54,242.4,96,10.91,10.1,2,2.73,3,no 903 | TX,110,area_code_415,no,yes,30,144.1,87,24.5,229.8,88,19.53,174.7,90,7.86,12.4,4,3.35,2,no 904 | MS,108,area_code_415,no,yes,28,221.3,117,37.62,156.0,102,13.26,159.3,80,7.17,8.7,3,2.35,0,no 905 | IN,65,area_code_415,no,no,0,129.1,137,21.95,228.5,83,19.42,208.8,111,9.4,12.7,6,3.43,4,yes 906 | OK,35,area_code_510,no,yes,37,181.2,76,30.8,177.6,98,15.1,228.0,136,10.26,5.0,3,1.35,2,no 907 | MT,124,area_code_415,no,yes,30,144.5,35,24.57,262.3,101,22.3,226.5,82,10.19,12.0,7,3.24,2,no 908 | MD,103,area_code_415,yes,no,0,133.2,90,22.64,236.8,70,20.13,214.1,120,9.63,12.5,2,3.38,1,yes 909 | LA,111,area_code_415,no,yes,28,128.8,104,21.9,157.3,52,13.37,147.4,76,6.63,10.3,2,2.78,2,no 910 | CA,67,area_code_510,no,no,0,102.8,93,17.48,137.8,91,11.71,158.9,110,7.15,8.9,5,2.4,1,no 911 | MD,101,area_code_408,no,no,0,155.4,71,26.42,84.0,122,7.14,229.1,97,10.31,5.8,1,1.57,1,no 912 | AL,85,area_code_408,no,yes,30,173.1,107,29.43,247.2,101,21.01,158.7,104,7.14,11.5,5,3.11,1,no 913 | TN,74,area_code_510,no,no,0,159.4,86,27.1,210.0,122,17.85,172.4,99,7.76,8.5,2,2.3,1,no 914 | MO,84,area_code_415,no,yes,35,207.5,138,35.28,201.0,116,17.09,164.5,107,7.4,7.5,16,2.03,4,no 915 | VA,103,area_code_408,no,no,0,147.8,71,25.13,182.6,103,15.52,260.8,95,11.74,6.9,3,1.86,1,no 916 | MT,69,area_code_510,no,yes,40,77.0,106,13.09,161.7,94,13.74,188.6,82,8.49,12.5,6,3.38,1,no 917 | MA,169,area_code_408,no,yes,22,149.1,103,25.35,207.2,91,17.61,265.4,92,11.94,11.4,7,3.08,2,no 918 | MI,52,area_code_510,no,no,0,219.0,100,37.23,148.9,110,12.66,151.8,129,6.83,11.9,8,3.21,3,no 919 | TN,196,area_code_415,no,no,0,133.1,80,22.63,206.5,120,17.55,221.6,96,9.97,10.3,8,2.78,1,no 920 | NV,148,area_code_415,no,no,0,279.3,104,47.48,201.6,87,17.14,280.8,99,12.64,7.9,2,2.13,2,yes 921 | NH,161,area_code_415,no,no,0,173.4,100,29.48,213.7,74,18.16,141.5,69,6.37,11.5,4,3.11,1,no 922 | NM,56,area_code_408,no,no,0,146.1,57,24.84,196.2,97,16.68,310.1,110,13.95,9.2,3,2.48,0,no 923 | DE,87,area_code_415,no,no,0,177.2,72,30.12,248.9,105,21.16,200.8,87,9.04,8.6,7,2.32,3,no 924 | ND,70,area_code_415,no,yes,31,125.9,101,21.4,196.4,102,16.69,252.7,75,11.37,10.3,4,2.78,1,no 925 | MS,1,area_code_415,no,no,0,144.8,107,24.62,112.5,66,9.56,218.7,79,9.84,13.8,3,3.73,1,no 926 | TN,120,area_code_408,yes,no,0,179.9,72,30.58,170.0,98,14.45,190.6,89,8.58,13.8,2,3.73,1,yes 927 | NJ,64,area_code_415,no,no,0,224.8,111,38.22,190.0,101,16.15,221.4,110,9.96,9.2,2,2.48,1,no 928 | MN,38,area_code_510,no,no,0,175.7,109,29.87,211.8,97,18.0,137.9,109,6.21,9.2,3,2.48,5,yes 929 | AR,98,area_code_415,no,no,0,227.1,116,38.61,120.5,103,10.24,117.0,102,5.27,4.7,4,1.27,5,yes 930 | WA,78,area_code_408,no,no,0,140.7,77,23.92,195.2,114,16.59,252.9,107,11.38,11.7,5,3.16,0,no 931 | NJ,124,area_code_415,no,no,0,108.2,92,18.39,214.3,83,18.22,185.5,155,8.35,13.2,11,3.56,4,yes 932 | FL,39,area_code_510,no,no,0,121.6,99,20.67,267.6,99,22.75,99.7,88,4.49,7.1,2,1.92,1,no 933 | UT,76,area_code_415,no,no,0,212.5,124,36.13,215.5,110,18.32,128.0,94,5.76,5.2,9,1.4,3,no 934 | IL,55,area_code_415,no,no,0,203.7,80,34.63,230.2,112,19.57,120.3,48,5.41,9.4,1,2.54,3,no 935 | OH,136,area_code_415,no,yes,31,143.1,88,24.33,236.6,65,20.11,227.8,120,10.25,11.4,5,3.08,2,no 936 | MD,58,area_code_408,no,no,0,187.6,113,31.89,217.4,115,18.48,139.7,92,6.29,9.8,5,2.65,3,no 937 | IN,117,area_code_415,yes,yes,22,196.0,82,33.32,322.7,82,27.43,225.6,120,10.15,3.7,5,1.0,1,no 938 | NY,104,area_code_415,no,no,0,264.0,108,44.88,132.2,75,11.24,177.7,91,8.0,10.6,8,2.86,3,no 939 | MT,132,area_code_408,no,no,0,195.1,100,33.17,148.8,95,12.65,224.5,117,10.1,6.7,2,1.81,0,no 940 | OH,144,area_code_415,no,yes,18,106.4,109,18.09,108.1,113,9.19,208.4,111,9.38,10.1,5,2.73,1,no 941 | PA,61,area_code_408,no,yes,31,288.7,101,49.08,203.8,102,17.32,203.2,49,9.14,8.6,3,2.32,0,no 942 | FL,194,area_code_408,no,yes,42,203.7,109,34.63,192.9,125,16.4,318.0,81,14.31,10.8,16,2.92,3,no 943 | ME,77,area_code_415,no,no,0,208.8,117,35.5,175.4,81,14.91,171.5,105,7.72,13.4,3,3.62,0,no 944 | NM,132,area_code_408,no,no,0,169.9,107,28.88,209.4,121,17.8,206.1,79,9.27,11.5,2,3.11,1,no 945 | CO,121,area_code_408,yes,no,0,167.7,94,28.51,93.7,121,7.96,241.3,115,10.86,13.4,1,3.62,3,yes 946 | MT,146,area_code_415,no,no,0,214.8,86,36.52,230.9,94,19.63,223.8,100,10.07,5.8,3,1.57,3,no 947 | OK,123,area_code_415,no,yes,27,198.7,127,33.78,249.0,105,21.17,173.2,124,7.79,12.5,5,3.38,1,no 948 | MD,96,area_code_415,no,no,0,149.2,125,25.36,210.6,119,17.9,290.5,102,13.07,9.4,3,2.54,4,no 949 | KS,81,area_code_510,no,no,0,139.8,98,23.77,247.2,103,21.01,241.0,113,10.85,11.7,3,3.16,3,no 950 | TN,128,area_code_510,no,yes,40,272.2,112,46.27,239.9,111,20.39,257.3,124,11.58,11.6,2,3.13,1,no 951 | NE,136,area_code_415,no,no,0,259.0,105,44.03,166.9,125,14.19,255.1,107,11.48,11.1,3,3.0,3,no 952 | ND,48,area_code_415,no,no,0,210.8,84,35.84,189.6,98,16.12,157.6,99,7.09,16.4,3,4.43,2,no 953 | MN,44,area_code_408,no,no,0,207.2,90,35.22,178.6,76,15.18,182.0,74,8.19,0.0,0,0.0,0,no 954 | AZ,108,area_code_415,no,no,0,193.3,126,32.86,154.7,85,13.15,174.8,98,7.87,9.4,6,2.54,3,no 955 | WV,30,area_code_510,no,no,0,162.3,96,27.59,244.0,122,20.74,180.1,89,8.1,9.1,4,2.46,2,no 956 | MO,87,area_code_415,yes,no,0,128.9,71,21.91,281.9,91,23.96,209.1,100,9.41,9.9,4,2.67,0,no 957 | OK,73,area_code_415,yes,yes,34,252.9,103,42.99,220.1,79,18.71,144.9,65,6.52,11.4,3,3.08,0,no 958 | IA,40,area_code_510,no,no,0,169.7,115,28.85,141.4,123,12.02,253.0,115,11.39,10.5,3,2.84,4,yes 959 | MD,154,area_code_510,no,no,0,154.5,122,26.27,214.2,71,18.21,178.0,105,8.01,12.0,2,3.24,3,yes 960 | NM,148,area_code_408,no,no,0,153.6,148,26.11,262.1,87,22.28,225.5,99,10.15,9.8,3,2.65,2,no 961 | MI,82,area_code_415,no,no,0,135.4,102,23.02,237.1,122,20.15,118.3,91,5.32,17.5,4,4.73,0,no 962 | MN,122,area_code_415,no,no,0,126.0,89,21.42,147.0,95,12.5,280.2,97,12.61,5.6,4,1.51,0,no 963 | TN,130,area_code_408,no,no,0,127.0,102,21.59,206.9,107,17.59,231.7,99,10.43,6.1,6,1.65,0,no 964 | PA,128,area_code_408,yes,no,0,245.2,112,41.68,101.5,101,8.63,152.3,116,6.85,10.7,5,2.89,0,no 965 | ID,42,area_code_510,no,no,0,166.8,138,28.36,212.4,78,18.05,194.7,70,8.76,12.4,9,3.35,2,no 966 | WI,116,area_code_408,no,no,0,152.4,101,25.91,191.0,90,16.24,143.0,96,6.44,11.1,9,3.0,0,no 967 | WI,62,area_code_415,no,no,0,86.3,84,14.67,238.7,99,20.29,238.4,79,10.73,12.5,1,3.38,2,no 968 | NM,112,area_code_415,no,no,0,81.6,94,13.87,268.1,112,22.79,140.8,75,6.34,8.6,18,2.32,1,no 969 | OK,99,area_code_408,no,no,0,155.6,90,26.45,240.1,117,20.41,230.8,88,10.39,10.8,4,2.92,3,no 970 | LA,128,area_code_415,no,no,0,148.5,105,25.25,243.0,106,20.66,255.2,114,11.48,6.8,2,1.84,1,no 971 | NC,92,area_code_408,no,no,0,192.1,87,32.66,193.0,122,16.41,133.4,79,6.0,10.7,2,2.89,1,no 972 | OK,103,area_code_510,no,no,0,267.0,97,45.39,204.3,151,17.37,246.9,67,11.11,11.3,7,3.05,1,yes 973 | ME,108,area_code_510,no,no,0,246.2,102,41.85,202.4,134,17.2,180.1,95,8.1,9.4,5,2.54,1,no 974 | KS,123,area_code_415,no,no,0,163.1,119,27.73,249.4,51,21.2,168.2,77,7.57,9.0,10,2.43,1,no 975 | IN,84,area_code_408,no,no,0,217.1,99,36.91,236.0,68,20.06,118.3,120,5.32,9.4,4,2.54,1,no 976 | NY,119,area_code_408,no,no,0,153.2,131,26.04,116.6,85,9.91,218.5,74,9.83,10.1,5,2.73,1,no 977 | AK,130,area_code_415,no,no,0,242.5,101,41.23,102.8,114,8.74,142.4,89,6.41,9.3,2,2.51,2,no 978 | ND,105,area_code_510,no,no,0,246.4,83,41.89,256.2,101,21.78,169.0,151,7.61,3.8,4,1.03,0,no 979 | MO,115,area_code_408,no,no,0,80.8,81,13.74,195.7,91,16.63,190.1,66,8.55,11.7,6,3.16,1,no 980 | VT,131,area_code_415,no,no,0,175.1,73,29.77,171.9,116,14.61,131.1,94,5.9,7.3,6,1.97,1,no 981 | AK,78,area_code_510,no,no,0,190.3,88,32.35,194.5,89,16.53,256.5,109,11.54,11.7,5,3.16,2,no 982 | OK,112,area_code_415,no,no,0,166.0,79,28.22,74.6,100,6.34,247.9,74,11.16,6.3,7,1.7,0,no 983 | VT,182,area_code_415,no,no,0,160.3,87,27.25,229.9,101,19.54,185.3,96,8.34,8.7,11,2.35,2,no 984 | OR,98,area_code_415,no,yes,38,213.7,61,36.33,253.0,104,21.51,207.7,73,9.35,10.7,5,2.89,2,no 985 | FL,143,area_code_415,no,no,0,119.1,117,20.25,287.7,136,24.45,223.0,100,10.04,12.2,4,3.29,0,no 986 | AR,34,area_code_510,no,no,0,124.8,82,21.22,282.2,98,23.99,311.5,78,14.02,10.0,4,2.7,2,no 987 | SD,140,area_code_415,no,no,0,191.8,67,32.61,261.1,52,22.19,252.7,112,11.37,10.8,3,2.92,6,no 988 | RI,60,area_code_408,no,no,0,194.2,107,33.01,174.0,107,14.79,89.3,83,4.02,11.2,2,3.02,2,no 989 | OK,71,area_code_415,no,no,0,123.8,130,21.05,226.5,91,19.25,213.9,96,9.63,8.8,7,2.38,2,no 990 | LA,143,area_code_415,no,no,0,178.2,109,30.29,254.6,93,21.64,241.3,139,10.86,8.5,7,2.3,0,no 991 | KS,70,area_code_415,no,no,0,222.8,114,37.88,215.9,113,18.35,223.5,122,10.06,0.0,0,0.0,1,no 992 | WY,127,area_code_510,yes,no,0,242.2,102,41.17,226.1,80,19.22,252.0,96,11.34,13.9,5,3.75,2,yes 993 | TX,86,area_code_408,no,no,0,181.1,124,30.79,229.5,105,19.51,122.2,91,5.5,5.6,6,1.51,5,no 994 | NM,29,area_code_415,no,no,0,262.0,112,44.54,82.7,60,7.03,195.1,120,8.78,10.7,5,2.89,1,no 995 | RI,101,area_code_415,no,no,0,176.5,105,30.01,198.6,136,16.88,210.2,150,9.46,7.7,5,2.08,0,no 996 | SD,106,area_code_415,no,no,0,94.8,113,16.12,283.2,95,24.07,219.3,106,9.87,6.8,4,1.84,1,no 997 | VA,113,area_code_408,no,yes,34,44.9,63,7.63,134.2,82,11.41,168.4,118,7.58,13.3,3,3.59,1,no 998 | DE,122,area_code_415,no,yes,30,237.7,94,40.41,154.7,91,13.15,223.1,98,10.04,9.5,3,2.57,1,no 999 | MD,105,area_code_408,no,no,0,141.8,85,24.11,191.3,101,16.26,133.6,126,6.01,10.9,3,2.94,1,no 1000 | WI,120,area_code_415,no,yes,29,244.3,140,41.53,322.3,89,27.4,166.8,83,7.51,10.6,6,2.86,0,no 1001 | FL,68,area_code_415,no,yes,24,176.0,118,29.92,277.9,116,23.62,174.7,71,7.86,14.7,7,3.97,1,no 1002 | UT,91,area_code_415,no,yes,34,175.3,96,29.8,262.3,122,22.3,143.9,76,6.48,5.6,11,1.51,1,no 1003 | OH,66,area_code_415,no,no,0,170.5,103,28.99,254.3,77,21.62,197.3,138,8.88,10.5,2,2.84,2,no 1004 | WY,104,area_code_408,no,no,0,183.6,133,31.21,120.7,98,10.26,215.1,112,9.68,12.7,2,3.43,1,no 1005 | KY,107,area_code_415,no,no,0,157.1,79,26.71,162.6,124,13.82,150.0,138,6.75,12.1,6,3.27,1,no 1006 | OH,65,area_code_415,no,no,0,245.7,139,41.77,241.9,113,20.56,285.3,117,12.84,4.2,5,1.13,4,yes 1007 | WV,141,area_code_415,yes,yes,37,258.6,84,43.96,222.0,111,18.87,326.4,97,14.69,11.2,5,3.02,0,no 1008 | MD,111,area_code_510,no,no,0,123.1,88,20.93,213.9,84,18.18,184.9,88,8.32,12.0,2,3.24,5,yes 1009 | WY,109,area_code_415,no,no,0,137.0,128,23.29,217.0,116,18.45,182.1,86,8.19,10.0,5,2.7,2,no 1010 | WY,111,area_code_415,no,no,0,222.2,96,37.77,162.5,111,13.81,184.9,120,8.32,11.9,7,3.21,4,no 1011 | OK,109,area_code_415,yes,no,0,166.5,101,28.31,268.4,119,22.81,126.2,112,5.68,10.2,3,2.75,3,no 1012 | MN,138,area_code_415,no,no,0,194.3,83,33.03,189.9,97,16.14,232.2,102,10.45,9.0,3,2.43,5,no 1013 | MS,69,area_code_510,no,no,0,167.4,105,28.46,121.5,142,10.33,209.3,83,9.42,16.0,2,4.32,1,no 1014 | NH,56,area_code_415,no,yes,24,121.7,87,20.69,184.0,76,15.64,266.6,98,12.0,12.7,3,3.43,1,no 1015 | ID,101,area_code_415,no,no,0,202.5,91,34.43,142.5,134,12.11,219.6,102,9.88,10.1,4,2.73,3,no 1016 | DC,68,area_code_415,yes,yes,39,142.0,140,24.14,241.6,89,20.54,302.0,72,13.59,11.3,5,3.05,1,no 1017 | MI,112,area_code_510,no,no,0,243.4,77,41.38,182.1,97,15.48,259.2,94,11.66,12.8,2,3.46,1,no 1018 | LA,9,area_code_415,no,yes,39,214.1,108,36.4,169.2,115,14.38,189.7,117,8.54,10.1,3,2.73,1,no 1019 | MS,92,area_code_510,no,yes,27,233.6,126,39.71,152.9,94,13.0,262.1,95,11.79,12.8,4,3.46,1,no 1020 | VT,128,area_code_408,no,no,0,227.9,130,38.74,302.6,71,25.72,191.5,82,8.62,5.5,7,1.49,1,yes 1021 | NY,115,area_code_510,no,yes,16,133.3,110,22.66,185.7,111,15.78,161.5,113,7.27,5.6,4,1.51,2,no 1022 | NM,103,area_code_415,no,no,0,173.5,83,29.5,244.3,65,20.77,221.6,66,9.97,9.7,2,2.62,3,no 1023 | WV,86,area_code_415,no,no,0,136.4,104,23.19,202.5,110,17.21,230.7,86,10.38,11.5,1,3.11,3,no 1024 | NC,190,area_code_408,no,no,0,182.2,101,30.97,212.3,95,18.05,233.0,123,10.49,9.3,4,2.51,2,no 1025 | ND,51,area_code_510,no,no,0,227.2,89,38.62,194.4,106,16.52,243.4,126,10.95,14.9,2,4.02,0,no 1026 | SD,116,area_code_415,no,no,0,63.7,101,10.83,195.8,95,16.64,210.1,87,9.45,10.0,6,2.7,1,no 1027 | AZ,69,area_code_415,no,yes,31,194.9,63,33.13,191.6,90,16.29,153.0,129,6.89,13.2,2,3.56,2,no 1028 | NY,144,area_code_408,no,no,0,61.6,117,10.47,77.1,85,6.55,173.0,99,7.79,8.2,7,2.21,4,yes 1029 | MN,113,area_code_408,yes,no,0,125.2,93,21.28,206.4,119,17.54,129.3,139,5.82,8.3,8,2.24,0,no 1030 | WV,77,area_code_510,no,no,0,67.7,68,11.51,195.7,86,16.63,236.5,137,10.64,12.0,2,3.24,1,no 1031 | AZ,68,area_code_415,no,no,0,232.4,76,39.51,153.3,103,13.03,214.6,107,9.66,10.5,2,2.84,1,no 1032 | WA,119,area_code_415,no,yes,26,161.3,97,27.42,250.3,110,21.28,142.4,92,6.41,6.6,8,1.78,1,no 1033 | AZ,192,area_code_415,no,yes,36,156.2,77,26.55,215.5,126,18.32,279.1,83,12.56,9.9,6,2.67,2,no 1034 | MN,40,area_code_510,yes,no,0,170.7,55,29.02,179.1,108,15.22,281.9,89,12.69,8.2,9,2.21,3,no 1035 | WI,122,area_code_510,no,yes,28,166.0,62,28.22,233.9,88,19.88,170.1,84,7.65,7.7,3,2.08,2,no 1036 | CA,120,area_code_510,no,no,0,134.8,94,22.92,204.1,106,17.35,238.4,109,10.73,6.7,8,1.81,1,no 1037 | MA,83,area_code_408,no,no,0,286.6,114,48.72,101.0,138,8.59,199.6,146,8.98,13.2,4,3.56,1,no 1038 | LA,155,area_code_415,no,no,0,203.4,100,34.58,190.9,104,16.23,196.0,119,8.82,8.9,4,2.4,0,yes 1039 | ND,38,area_code_415,yes,no,0,211.6,87,35.97,106.9,68,9.09,239.2,99,10.76,14.1,11,3.81,0,yes 1040 | VA,133,area_code_415,no,no,0,171.8,64,29.21,177.1,83,15.05,223.0,96,10.04,10.3,4,2.78,1,no 1041 | HI,105,area_code_510,no,no,0,125.4,116,21.32,261.5,95,22.23,241.6,104,10.87,11.4,9,3.08,2,no 1042 | DC,170,area_code_510,no,no,0,184.1,106,31.3,204.9,70,17.42,224.3,133,10.09,9.8,3,2.65,2,no 1043 | MT,83,area_code_415,no,no,0,188.3,70,32.01,243.8,88,20.72,213.7,79,9.62,10.3,6,2.78,0,no 1044 | RI,106,area_code_510,yes,no,0,204.0,84,34.68,168.5,61,14.32,164.0,102,7.38,13.3,3,3.59,3,yes 1045 | WY,107,area_code_510,no,yes,31,160.3,45,27.25,221.5,70,18.83,261.6,109,11.77,5.6,1,1.51,1,no 1046 | WI,114,area_code_415,no,yes,26,137.1,88,23.31,155.7,125,13.23,247.6,94,11.14,11.5,7,3.11,2,no 1047 | ND,68,area_code_408,no,no,0,219.6,97,37.33,141.1,144,11.99,205.7,101,9.26,10.8,4,2.92,2,no 1048 | MA,66,area_code_408,no,no,0,128.2,109,21.79,274.5,112,23.33,211.0,90,9.49,8.1,4,2.19,0,no 1049 | SD,114,area_code_415,no,yes,25,129.0,77,21.93,290.0,110,24.65,177.1,110,7.97,11.6,5,3.13,1,no 1050 | MS,107,area_code_510,no,yes,30,198.9,87,33.81,207.0,90,17.6,159.8,76,7.19,12.6,4,3.4,3,no 1051 | GA,194,area_code_510,no,no,0,193.3,106,32.86,169.0,150,14.37,225.2,122,10.13,11.8,4,3.19,0,no 1052 | TX,53,area_code_415,no,no,0,119.7,113,20.35,189.7,84,16.12,256.2,108,11.53,12.9,7,3.48,2,no 1053 | RI,123,area_code_415,no,yes,27,218.7,79,37.18,163.4,78,13.89,173.8,116,7.82,15.0,1,4.05,0,no 1054 | VT,159,area_code_415,no,no,0,275.8,103,46.89,189.5,108,16.11,223.9,93,10.08,7.4,5,2.0,2,yes 1055 | WV,69,area_code_415,yes,no,0,176.8,89,30.06,196.0,89,16.66,232.6,151,10.47,13.1,5,3.54,1,yes 1056 | SC,137,area_code_510,no,no,0,109.8,112,18.67,223.5,88,19.0,247.5,96,11.14,17.8,2,4.81,1,no 1057 | VA,54,area_code_408,no,no,0,197.7,84,33.61,221.3,89,18.81,189.4,109,8.52,7.8,3,2.11,2,no 1058 | VT,107,area_code_510,no,yes,28,201.8,79,34.31,304.9,128,25.92,225.6,133,10.15,11.9,8,3.21,1,no 1059 | ID,123,area_code_415,no,no,0,132.2,122,22.47,169.9,101,14.44,150.1,123,6.75,12.9,11,3.48,3,yes 1060 | WV,79,area_code_415,no,no,0,222.3,99,37.79,146.2,82,12.43,275.6,82,12.4,8.9,4,2.4,3,no 1061 | NJ,113,area_code_408,no,no,0,132.1,72,22.46,247.5,107,21.04,246.2,123,11.08,6.9,6,1.86,3,no 1062 | ID,65,area_code_408,no,yes,19,259.0,96,44.03,332.3,106,28.25,130.1,95,5.85,7.5,7,2.03,1,no 1063 | MO,142,area_code_415,no,yes,30,154.0,75,26.18,165.8,97,14.09,270.0,83,12.15,10.8,5,2.92,1,no 1064 | SC,108,area_code_510,no,no,0,187.4,101,31.86,199.9,126,16.99,216.1,107,9.72,12.6,8,3.4,1,no 1065 | WV,13,area_code_415,no,no,0,146.4,74,24.89,148.5,92,12.62,216.7,96,9.75,11.3,3,3.05,1,no 1066 | VA,176,area_code_415,no,no,0,216.7,91,36.84,233.9,104,19.88,231.1,110,10.4,9.0,4,2.43,1,no 1067 | AL,122,area_code_415,no,no,0,232.5,96,39.53,205.5,120,17.47,213.7,91,9.62,11.9,2,3.21,0,no 1068 | WV,72,area_code_510,no,yes,33,96.6,59,16.42,315.4,98,26.81,163.3,117,7.35,6.2,4,1.67,4,yes 1069 | SD,163,area_code_415,yes,no,0,197.2,90,33.52,188.5,113,16.02,211.1,94,9.5,7.8,8,2.11,1,no 1070 | SD,185,area_code_408,no,yes,18,103.9,112,17.66,230.0,111,19.55,155.7,119,7.01,8.5,5,2.3,0,no 1071 | IN,98,area_code_408,no,yes,21,64.6,98,10.98,176.1,86,14.97,244.8,84,11.02,0.0,0,0.0,2,no 1072 | PA,122,area_code_415,yes,no,0,230.9,132,39.25,243.2,99,20.67,182.4,57,8.21,11.0,2,2.97,0,yes 1073 | NH,170,area_code_415,no,no,0,222.8,82,37.88,148.2,105,12.6,231.1,75,10.4,13.3,5,3.59,1,no 1074 | AR,179,area_code_415,yes,yes,38,220.1,78,37.42,234.3,71,19.92,237.3,85,10.68,10.1,4,2.73,4,no 1075 | NC,86,area_code_510,no,no,0,190.5,115,32.39,179.6,130,15.27,258.5,89,11.63,10.1,5,2.73,3,no 1076 | WA,40,area_code_415,no,yes,41,148.1,74,25.18,169.5,88,14.41,214.1,102,9.63,6.2,5,1.67,2,no 1077 | MS,98,area_code_415,yes,yes,23,245.5,54,41.74,292.7,83,24.88,184.0,90,8.28,10.8,7,2.92,1,no 1078 | OK,149,area_code_408,no,no,0,187.6,83,31.89,201.4,81,17.12,264.2,79,11.89,8.8,1,2.38,1,no 1079 | UT,170,area_code_415,no,no,0,285.7,44,48.57,167.5,144,14.24,260.0,97,11.7,8.7,4,2.35,1,yes 1080 | AZ,106,area_code_408,no,no,0,273.8,120,46.55,149.3,104,12.69,193.9,127,8.73,11.2,3,3.02,0,no 1081 | VA,138,area_code_415,no,no,0,251.0,119,42.67,91.2,96,7.75,142.2,87,6.4,13.8,3,3.73,3,no 1082 | WV,173,area_code_415,no,no,0,191.4,114,32.54,168.5,138,14.32,109.3,99,4.92,10.3,3,2.78,1,no 1083 | PA,140,area_code_415,no,no,0,220.1,100,37.42,182.2,112,15.49,250.3,98,11.26,11.6,8,3.13,1,no 1084 | NE,117,area_code_415,no,no,0,102.8,119,17.48,206.7,91,17.57,299.0,105,13.46,10.1,7,2.73,1,no 1085 | HI,148,area_code_510,yes,no,0,218.9,88,37.21,208.0,85,17.68,203.3,99,9.15,11.1,4,3.0,0,no 1086 | PA,65,area_code_415,no,yes,23,224.2,106,38.11,189.6,100,16.12,222.8,75,10.03,9.8,4,2.65,0,no 1087 | MD,97,area_code_415,no,no,0,218.0,86,37.06,184.0,94,15.64,240.5,110,10.82,6.4,8,1.73,3,no 1088 | NC,27,area_code_408,no,no,0,201.2,128,34.2,227.2,100,19.31,145.8,91,6.56,8.4,3,2.27,2,no 1089 | MD,88,area_code_415,yes,no,0,235.1,98,39.97,251.8,79,21.4,285.9,76,12.87,7.2,2,1.94,4,yes 1090 | LA,99,area_code_415,no,no,0,241.1,72,40.99,155.6,98,13.23,188.2,109,8.47,11.6,10,3.13,1,no 1091 | KY,98,area_code_415,no,no,0,189.8,113,32.27,271.5,111,23.08,218.9,96,9.85,13.0,5,3.51,1,no 1092 | AZ,63,area_code_415,no,no,0,58.9,125,10.01,169.6,59,14.42,211.4,88,9.51,9.4,3,2.54,1,no 1093 | IL,48,area_code_510,no,no,0,128.2,71,21.79,48.1,78,4.09,116.3,80,5.23,8.9,3,2.4,0,no 1094 | KS,52,area_code_415,no,no,0,165.5,78,28.14,205.5,89,17.47,213.6,124,9.61,12.2,6,3.29,0,no 1095 | WV,105,area_code_510,no,no,0,101.5,83,17.26,193.8,83,16.47,214.3,113,9.64,11.7,4,3.16,3,no 1096 | OR,100,area_code_415,no,yes,20,123.7,98,21.03,200.8,125,17.07,181.0,118,8.15,9.6,5,2.59,1,no 1097 | SC,73,area_code_415,no,no,0,203.3,45,34.56,141.9,87,12.06,200.7,71,9.03,8.5,6,2.3,0,no 1098 | UT,57,area_code_415,no,no,0,202.0,100,34.34,168.9,90,14.36,231.8,119,10.43,3.4,4,0.92,1,no 1099 | TX,19,area_code_510,no,yes,34,156.6,97,26.62,224.2,97,19.06,260.9,135,11.74,11.3,1,3.05,1,no 1100 | IN,101,area_code_415,no,yes,42,209.2,82,35.56,159.7,74,13.57,181.6,100,8.17,9.5,3,2.57,0,no 1101 | TX,92,area_code_408,no,no,0,91.7,90,15.59,193.7,123,16.46,175.0,86,7.88,9.2,4,2.48,2,no 1102 | FL,110,area_code_415,no,no,0,242.5,110,41.23,162.3,140,13.8,184.1,86,8.28,7.8,3,2.11,4,no 1103 | ID,139,area_code_408,no,no,0,187.4,86,31.86,169.3,116,14.39,153.4,88,6.9,11.7,3,3.16,1,no 1104 | TX,109,area_code_510,yes,no,0,159.6,136,27.13,151.0,126,12.84,142.1,53,6.39,7.3,4,1.97,4,yes 1105 | NY,61,area_code_415,no,yes,36,233.9,97,39.76,175.6,133,14.93,177.0,83,7.97,9.5,4,2.57,1,no 1106 | IN,122,area_code_415,no,no,0,243.8,98,41.45,83.9,72,7.13,179.8,84,8.09,13.7,8,3.7,2,no 1107 | OR,174,area_code_415,no,no,0,222.3,102,37.79,173.8,123,14.77,297.2,97,13.37,5.7,2,1.54,0,yes 1108 | CA,60,area_code_415,yes,no,0,183.0,110,31.11,206.7,93,17.57,203.8,119,9.17,11.1,6,3.0,1,no 1109 | HI,146,area_code_510,no,no,0,189.3,77,32.18,155.9,128,13.25,186.0,83,8.37,7.4,3,2.0,0,no 1110 | ID,95,area_code_408,no,no,0,133.0,94,22.61,196.6,126,16.71,181.0,128,8.15,9.9,3,2.67,4,yes 1111 | VT,84,area_code_415,no,yes,42,214.3,112,36.43,188.2,107,16.0,333.5,117,15.01,11.3,10,3.05,0,no 1112 | RI,190,area_code_415,no,yes,26,116.7,71,19.84,145.9,88,12.4,175.1,103,7.88,9.9,3,2.67,1,no 1113 | CO,60,area_code_408,no,no,0,125.1,99,21.27,248.8,62,21.15,211.3,79,9.51,11.2,3,3.02,3,no 1114 | KY,45,area_code_415,no,yes,22,196.6,84,33.42,313.2,92,26.62,163.3,108,7.35,11.9,3,3.21,0,no 1115 | DC,87,area_code_415,no,yes,18,124.3,104,21.13,196.1,80,16.67,290.0,110,13.05,7.2,3,1.94,1,no 1116 | MS,68,area_code_415,no,no,0,94.1,93,16.0,147.6,80,12.55,213.5,85,9.61,10.1,2,2.73,0,no 1117 | AK,96,area_code_408,no,yes,29,150.0,91,25.5,159.4,75,13.55,228.1,55,10.26,8.5,3,2.3,1,no 1118 | GA,112,area_code_415,no,yes,22,181.8,110,30.91,228.1,123,19.39,262.7,141,11.82,9.2,4,2.48,2,no 1119 | WI,122,area_code_415,no,yes,21,196.0,104,33.32,194.7,73,16.55,150.8,92,6.79,9.6,4,2.59,0,no 1120 | AL,131,area_code_415,no,yes,25,192.7,85,32.76,225.9,105,19.2,254.2,59,11.44,10.9,6,2.94,2,no 1121 | TX,130,area_code_415,no,no,0,120.5,127,20.49,189.7,52,16.12,270.1,107,12.15,14.3,2,3.86,1,no 1122 | UT,93,area_code_415,no,no,0,164.9,68,28.03,210.4,86,17.88,229.4,104,10.32,7.8,4,2.11,2,no 1123 | DE,60,area_code_510,no,no,0,230.7,66,39.22,165.4,65,14.06,309.1,139,13.91,13.3,10,3.59,1,no 1124 | TN,137,area_code_408,no,no,0,75.8,107,12.89,256.9,98,21.84,204.4,118,9.2,10.5,3,2.84,2,no 1125 | VA,10,area_code_415,no,no,0,222.2,127,37.77,153.1,125,13.01,227.4,80,10.23,12.9,4,3.48,1,no 1126 | WA,89,area_code_510,no,no,0,137.9,96,23.44,192.6,63,16.37,255.7,125,11.51,11.0,5,2.97,1,no 1127 | WY,67,area_code_510,no,no,0,125.0,96,21.25,294.5,114,25.03,205.7,75,9.26,10.2,4,2.75,1,yes 1128 | ME,120,area_code_510,no,no,0,198.8,56,33.8,230.1,73,19.56,119.8,81,5.39,9.9,3,2.67,2,no 1129 | MD,62,area_code_408,no,no,0,321.1,105,54.59,265.5,122,22.57,180.5,72,8.12,11.5,2,3.11,4,yes 1130 | MO,140,area_code_510,no,no,0,201.9,114,34.32,181.7,97,15.44,184.5,122,8.3,12.1,10,3.27,0,no 1131 | CT,60,area_code_415,no,yes,20,118.3,113,20.11,253.8,97,21.57,172.8,78,7.78,9.4,4,2.54,1,no 1132 | VT,59,area_code_408,no,no,0,151.8,98,25.81,209.9,92,17.84,266.9,86,12.01,11.9,5,3.21,1,no 1133 | ND,117,area_code_415,yes,no,0,158.1,101,26.88,315.1,96,26.78,176.1,108,7.92,13.9,2,3.75,3,yes 1134 | OH,96,area_code_415,no,no,0,106.6,128,18.12,284.8,87,24.21,178.9,92,8.05,14.9,7,4.02,1,no 1135 | NJ,97,area_code_415,no,no,0,259.6,138,44.13,233.9,91,19.88,140.6,119,6.33,13.0,4,3.51,1,no 1136 | FL,158,area_code_415,no,no,0,123.3,115,20.96,130.4,91,11.08,243.7,119,10.97,11.2,3,3.02,3,no 1137 | NY,98,area_code_408,no,no,0,171.7,99,29.19,174.8,87,14.86,189.6,130,8.53,7.8,6,2.11,1,no 1138 | SC,101,area_code_415,yes,no,0,92.1,109,15.66,163.0,83,13.86,133.3,102,6.0,9.7,11,2.62,2,no 1139 | MT,117,area_code_415,no,no,0,233.4,71,39.68,296.4,76,25.19,276.9,103,12.46,10.3,1,2.78,0,yes 1140 | ID,72,area_code_415,yes,no,0,101.0,110,17.17,240.0,70,20.4,333.5,105,15.01,11.1,6,3.0,0,no 1141 | VT,106,area_code_510,yes,no,0,196.7,100,33.44,210.2,109,17.87,173.8,83,7.82,7.8,1,2.11,4,yes 1142 | MT,138,area_code_415,no,yes,28,151.0,59,25.67,269.5,122,22.91,179.4,116,8.07,8.9,9,2.4,0,no 1143 | UT,51,area_code_408,no,yes,0,212.9,80,36.19,236.1,57,20.07,187.6,99,8.44,8.8,4,2.38,2,no 1144 | WV,35,area_code_408,no,no,0,179.8,82,30.57,176.1,78,14.97,132.6,85,5.97,12.0,5,3.24,1,no 1145 | WY,43,area_code_415,yes,no,0,251.5,105,42.76,212.8,104,18.09,157.8,67,7.1,9.3,4,2.51,0,no 1146 | OR,135,area_code_415,no,no,0,263.8,66,44.85,251.3,116,21.36,200.1,112,9.0,8.4,2,2.27,5,yes 1147 | HI,103,area_code_415,no,no,0,245.8,116,41.79,135.4,97,11.51,190.9,73,8.59,9.9,7,2.67,1,no 1148 | RI,87,area_code_415,no,no,0,139.7,112,23.75,226.8,62,19.28,168.5,65,7.58,15.1,7,4.08,1,no 1149 | NC,55,area_code_408,yes,no,0,221.0,115,37.57,165.4,97,14.06,235.4,117,10.59,9.7,4,2.62,1,no 1150 | NC,161,area_code_415,no,no,0,322.3,100,54.79,230.4,135,19.58,241.5,104,10.87,7.8,5,2.11,2,yes 1151 | MI,178,area_code_408,yes,no,0,124.5,134,21.17,141.2,78,12.0,268.2,113,12.07,11.4,2,3.08,2,yes 1152 | MT,10,area_code_510,no,no,0,183.0,103,31.11,214.8,77,18.26,206.4,73,9.29,8.7,6,2.35,2,no 1153 | NV,41,area_code_510,no,no,0,182.1,89,30.96,211.5,104,17.98,207.4,124,9.33,6.8,1,1.84,1,no 1154 | NJ,59,area_code_510,no,no,0,195.0,58,33.15,198.5,88,16.87,304.3,110,13.69,14.8,9,4.0,0,no 1155 | NH,119,area_code_408,no,no,0,215.1,105,36.57,249.4,104,21.2,249.9,83,11.25,10.8,8,2.92,2,no 1156 | NY,89,area_code_415,no,no,0,89.5,66,15.22,179.3,104,15.24,225.1,116,10.13,12.3,1,3.32,3,no 1157 | DC,88,area_code_408,no,no,0,204.8,100,34.82,193.9,98,16.48,190.9,62,8.59,2.0,11,0.54,1,no 1158 | VT,157,area_code_510,no,no,0,168.6,71,28.66,205.1,48,17.43,175.8,88,7.91,5.9,2,1.59,3,no 1159 | MI,148,area_code_415,yes,no,0,233.5,81,39.7,187.7,71,15.95,122.3,97,5.5,9.6,2,2.59,0,yes 1160 | AL,72,area_code_415,no,no,0,217.8,93,37.03,189.7,113,16.12,182.6,91,8.22,10.4,5,2.81,4,no 1161 | RI,65,area_code_415,no,yes,29,215.5,129,36.64,161.9,77,13.76,128.3,91,5.77,8.8,5,2.38,2,no 1162 | AL,91,area_code_510,yes,no,0,129.9,112,22.08,173.3,83,14.73,247.2,130,11.12,11.2,3,3.02,3,no 1163 | ME,108,area_code_510,no,yes,48,185.6,125,31.55,224.6,125,19.09,284.7,87,12.81,6.9,3,1.86,1,no 1164 | UT,44,area_code_415,no,no,0,202.6,89,34.44,163.0,96,13.86,268.1,151,12.06,8.3,3,2.24,0,no 1165 | MT,84,area_code_415,no,yes,25,113.9,90,19.36,257.0,99,21.85,214.5,98,9.65,12.9,8,3.48,4,yes 1166 | OK,117,area_code_415,no,no,0,134.7,121,22.9,180.0,83,15.3,200.9,104,9.04,7.7,3,2.08,1,no 1167 | NJ,112,area_code_408,no,no,0,351.5,95,59.76,206.8,108,17.58,275.8,146,12.41,11.9,4,3.21,1,yes 1168 | ME,36,area_code_510,yes,yes,42,196.8,89,33.46,254.9,122,21.67,138.3,126,6.22,20.0,6,5.4,0,yes 1169 | NE,161,area_code_415,no,no,0,166.2,125,28.25,279.4,78,23.75,181.0,85,8.15,13.4,6,3.62,1,no 1170 | VA,133,area_code_408,no,yes,39,239.9,107,40.78,253.8,77,21.57,128.7,85,5.79,6.7,3,1.81,5,no 1171 | AZ,102,area_code_510,no,no,0,171.6,116,29.17,219.4,111,18.65,242.1,85,10.89,12.1,4,3.27,0,yes 1172 | NH,123,area_code_415,no,yes,22,197.6,105,33.59,80.0,86,6.8,120.8,82,5.44,15.6,12,4.21,2,no 1173 | WI,92,area_code_415,yes,no,0,264.3,91,44.93,160.9,115,13.68,198.6,73,8.94,9.3,5,2.51,0,no 1174 | WA,132,area_code_415,no,no,0,240.1,115,40.82,180.4,91,15.33,133.4,122,6.0,8.0,6,2.16,3,no 1175 | CO,65,area_code_510,no,no,0,158.8,53,27.0,188.5,132,16.02,189.3,87,8.52,9.8,4,2.65,2,no 1176 | MI,102,area_code_510,no,no,0,102.6,89,17.44,246.0,77,20.91,170.5,140,7.67,9.1,4,2.46,2,no 1177 | NJ,74,area_code_415,no,no,0,230.9,93,39.25,223.0,78,18.96,157.8,101,7.1,9.7,2,2.62,3,no 1178 | KY,95,area_code_408,no,no,0,135.0,99,22.95,183.6,106,15.61,245.3,102,11.04,12.5,9,3.38,1,no 1179 | ID,128,area_code_408,no,no,0,125.2,99,21.28,205.4,107,17.46,254.4,111,11.45,18.9,2,5.1,0,no 1180 | CT,150,area_code_510,no,no,0,189.3,77,32.18,220.9,105,18.78,238.7,117,10.74,9.2,5,2.48,4,no 1181 | NE,91,area_code_510,no,no,0,159.0,109,27.03,255.1,142,21.68,82.4,73,3.71,10.1,4,2.73,0,no 1182 | SC,142,area_code_510,no,no,0,204.2,98,34.71,188.9,85,16.06,231.2,136,10.4,6.5,6,1.76,1,no 1183 | OH,103,area_code_408,no,yes,29,294.7,95,50.1,237.3,105,20.17,300.3,127,13.51,13.7,6,3.7,1,no 1184 | NJ,138,area_code_510,no,no,0,220.2,89,37.43,88.3,125,7.51,195.3,79,8.79,12.9,5,3.48,0,no 1185 | MS,105,area_code_415,no,no,0,101.4,48,17.24,159.1,119,13.52,259.2,53,11.66,12.2,2,3.29,1,no 1186 | ND,141,area_code_415,no,no,0,208.5,129,35.45,190.3,86,16.18,144.7,93,6.51,12.0,9,3.24,1,no 1187 | NE,39,area_code_510,no,no,0,185.0,113,31.45,106.5,125,9.05,167.3,78,7.53,12.0,2,3.24,0,no 1188 | MS,145,area_code_408,yes,no,0,113.0,63,19.21,187.0,131,15.9,146.8,61,6.61,10.9,7,2.94,1,no 1189 | WA,112,area_code_415,no,no,0,158.1,107,26.88,181.5,101,15.43,200.3,126,9.01,8.3,7,2.24,1,no 1190 | VT,217,area_code_510,no,no,0,99.7,74,16.95,183.1,97,15.56,220.3,73,9.91,14.4,4,3.89,0,no 1191 | OK,194,area_code_408,no,no,0,162.3,88,27.59,213.7,118,18.16,192.1,81,8.64,10.9,2,2.94,0,no 1192 | IN,195,area_code_415,no,no,0,221.6,109,37.67,126.2,94,10.73,212.2,98,9.55,6.4,2,1.73,0,no 1193 | ID,83,area_code_415,no,no,0,159.3,104,27.08,202.3,98,17.2,229.0,73,10.31,9.5,3,2.57,2,no 1194 | GA,63,area_code_408,no,no,0,204.0,119,34.68,161.7,90,13.74,202.6,113,9.12,9.4,4,2.54,3,no 1195 | NY,68,area_code_415,no,no,0,267.9,80,45.54,145.4,143,12.36,273.3,119,12.3,14.9,1,4.02,3,yes 1196 | NH,130,area_code_408,no,no,0,68.4,86,11.63,193.3,110,16.43,171.5,139,7.72,10.4,4,2.81,0,no 1197 | KS,110,area_code_415,yes,yes,27,267.9,103,45.54,263.3,74,22.38,178.1,106,8.01,8.3,2,2.24,1,yes 1198 | ND,56,area_code_415,no,no,0,222.7,133,37.86,277.0,89,23.55,101.8,94,4.58,13.6,4,3.67,4,no 1199 | MO,132,area_code_408,no,no,0,206.2,100,35.05,211.2,118,17.95,196.2,122,8.83,10.2,6,2.75,1,no 1200 | IA,45,area_code_510,no,no,0,159.8,91,27.17,120.4,86,10.23,163.0,93,7.34,10.6,3,2.86,2,no 1201 | WY,104,area_code_415,no,no,0,138.7,100,23.58,215.4,58,18.31,164.3,98,7.39,4.9,4,1.32,2,no 1202 | NJ,94,area_code_415,no,no,0,145.4,92,24.72,172.8,103,14.69,183.9,43,8.28,9.3,3,2.51,2,no 1203 | OH,86,area_code_415,no,yes,29,225.4,79,38.32,187.1,112,15.9,281.1,112,12.65,12.9,3,3.48,1,no 1204 | PA,180,area_code_415,no,no,0,174.1,94,29.6,147.1,93,12.5,216.9,108,9.76,16.2,3,4.37,1,no 1205 | ME,157,area_code_408,no,yes,27,201.4,85,34.24,101.3,60,8.61,258.5,113,11.63,11.9,5,3.21,2,no 1206 | ID,99,area_code_408,no,no,0,159.7,83,27.15,155.4,121,13.21,255.7,114,11.51,8.4,3,2.27,1,no 1207 | WY,215,area_code_510,no,no,0,83.6,148,14.21,120.9,91,10.28,226.6,110,10.2,10.7,9,2.89,0,no 1208 | MT,80,area_code_415,no,no,0,198.1,160,33.68,156.7,87,13.32,182.1,76,8.19,9.3,3,2.51,3,no 1209 | ME,175,area_code_415,no,no,0,132.0,95,22.44,231.2,74,19.65,313.4,108,14.1,8.7,10,2.35,1,no 1210 | GA,130,area_code_415,no,no,0,211.4,91,35.94,191.0,62,16.24,207.3,109,9.33,11.6,3,3.13,1,no 1211 | NV,125,area_code_510,no,no,0,168.6,99,28.66,175.6,107,14.93,243.3,92,10.95,10.9,7,2.94,0,no 1212 | WY,3,area_code_415,no,yes,23,205.5,102,34.94,209.5,83,17.81,182.3,99,8.2,6.4,4,1.73,0,no 1213 | KY,120,area_code_408,no,no,0,180.8,93,30.74,190.1,82,16.16,192.3,66,8.65,10.5,7,2.84,2,no 1214 | SC,121,area_code_415,no,no,0,144.8,126,24.62,200.6,82,17.05,208.8,81,9.4,13.3,9,3.59,0,yes 1215 | PA,77,area_code_510,no,yes,24,149.4,74,25.4,123.9,72,10.53,174.3,84,7.84,10.1,6,2.73,1,no 1216 | NM,124,area_code_408,no,no,0,244.6,91,41.58,125.1,70,10.63,303.4,104,13.65,12.0,5,3.24,0,no 1217 | VT,193,area_code_408,no,yes,17,124.0,102,21.08,202.9,81,17.25,205.1,129,9.23,12.3,3,3.32,1,no 1218 | OR,129,area_code_408,no,no,0,98.0,99,16.66,240.7,62,20.46,254.8,123,11.47,10.5,4,2.84,0,no 1219 | LA,151,area_code_408,no,no,0,178.7,116,30.38,292.1,138,24.83,265.9,101,11.97,9.8,4,2.65,0,no 1220 | DE,92,area_code_415,no,no,0,197.0,84,33.49,269.3,105,22.89,158.9,105,7.15,10.8,4,2.92,1,no 1221 | WV,104,area_code_415,no,no,0,225.9,123,38.4,162.8,106,13.84,272.1,85,12.24,10.1,4,2.73,1,no 1222 | NJ,127,area_code_510,no,no,0,262.9,95,44.69,175.9,126,14.95,202.1,101,9.09,7.5,5,2.03,1,no 1223 | NC,112,area_code_415,no,no,0,193.3,96,32.86,264.1,123,22.45,128.6,115,5.79,9.1,3,2.46,4,no 1224 | NC,129,area_code_415,no,no,0,54.7,131,9.3,256.1,105,21.77,176.6,135,7.95,11.1,4,3.0,1,no 1225 | ME,58,area_code_415,no,yes,29,239.6,84,40.73,182.1,80,15.48,118.3,100,5.32,11.0,3,2.97,2,no 1226 | VA,102,area_code_408,no,no,0,156.5,67,26.61,204.3,103,17.37,141.9,72,6.39,9.9,2,2.67,2,no 1227 | AK,97,area_code_415,no,yes,24,176.1,109,29.94,159.4,81,13.55,269.1,94,12.11,12.1,9,3.27,0,no 1228 | WI,51,area_code_408,no,no,0,197.8,60,33.63,221.0,64,18.79,168.6,134,7.59,8.9,5,2.4,1,no 1229 | WV,142,area_code_415,no,no,0,243.4,76,41.38,161.4,102,13.72,120.5,105,5.42,10.0,5,2.7,4,no 1230 | ND,98,area_code_510,no,no,0,187.2,127,31.82,195.6,88,16.63,181.8,129,8.18,5.1,4,1.38,1,no 1231 | MI,57,area_code_415,no,no,0,140.0,100,23.8,174.7,102,14.85,258.5,111,11.63,13.3,4,3.59,1,no 1232 | AL,112,area_code_510,no,no,0,189.4,83,32.2,219.0,89,18.62,168.0,116,7.56,7.1,8,1.92,3,no 1233 | NM,55,area_code_510,no,no,0,286.7,100,48.74,134.4,121,11.42,192.9,122,8.68,6.9,5,1.86,2,no 1234 | DE,99,area_code_415,no,no,0,254.4,120,43.25,159.3,92,13.54,264.4,94,11.9,6.0,5,1.62,1,no 1235 | MA,120,area_code_415,no,no,0,137.3,100,23.34,212.2,129,18.04,152.7,92,6.87,10.5,2,2.84,1,no 1236 | LA,103,area_code_415,no,no,0,222.9,129,37.89,205.0,87,17.43,141.3,99,6.36,9.9,2,2.67,1,no 1237 | IN,86,area_code_510,no,no,0,216.3,96,36.77,266.3,77,22.64,214.0,110,9.63,4.5,3,1.22,0,no 1238 | DE,64,area_code_415,no,yes,31,281.9,121,47.92,240.6,104,20.45,212.2,120,9.55,7.0,5,1.89,3,no 1239 | MS,162,area_code_415,no,no,0,70.7,108,12.02,157.5,87,13.39,154.8,82,6.97,9.1,3,2.46,4,yes 1240 | CT,37,area_code_408,no,no,0,134.9,98,22.93,248.4,130,21.11,236.2,113,10.63,14.7,2,3.97,3,no 1241 | UT,108,area_code_415,no,no,0,210.6,117,35.8,164.2,103,13.96,201.4,68,9.06,9.4,5,2.54,0,no 1242 | IA,92,area_code_415,no,no,0,138.1,131,23.48,175.7,128,14.93,192.7,119,8.67,10.0,3,2.7,3,no 1243 | DC,118,area_code_415,no,no,0,183.1,128,31.13,241.0,93,20.49,211.1,108,9.5,12.5,4,3.38,0,no 1244 | VA,87,area_code_415,no,no,0,171.6,119,29.17,205.0,107,17.43,170.6,114,7.68,13.8,4,3.73,0,no 1245 | OR,67,area_code_415,yes,no,0,120.9,58,20.55,235.0,88,19.98,95.1,130,4.28,11.4,11,3.08,2,no 1246 | MN,158,area_code_408,no,no,0,209.9,112,35.68,221.3,82,18.81,210.0,93,9.45,8.2,3,2.21,1,no 1247 | NC,80,area_code_415,yes,no,0,189.1,122,32.15,223.2,92,18.97,269.0,116,12.11,13.9,3,3.75,2,yes 1248 | CO,90,area_code_415,no,yes,30,168.2,103,28.59,220.9,75,18.78,224.3,105,10.09,8.2,2,2.21,0,no 1249 | OR,112,area_code_510,no,no,0,206.2,122,35.05,164.5,94,13.98,140.3,101,6.31,12.6,7,3.4,3,no 1250 | AZ,43,area_code_415,no,no,0,179.3,97,30.48,252.7,126,21.48,227.5,114,10.24,8.0,5,2.16,0,no 1251 | TN,1,area_code_415,no,no,0,196.1,107,33.34,296.5,82,25.2,211.5,91,9.52,7.0,2,1.89,1,no 1252 | SC,112,area_code_415,no,no,0,266.0,97,45.22,214.6,94,18.24,306.2,100,13.78,14.2,2,3.83,2,yes 1253 | TX,85,area_code_408,no,yes,21,219.3,132,37.28,218.2,105,18.55,267.6,95,12.04,15.7,2,4.24,2,no 1254 | NH,90,area_code_415,no,no,0,76.1,121,12.94,290.3,73,24.68,236.9,89,10.66,10.8,3,2.92,0,no 1255 | IN,51,area_code_510,no,no,0,214.8,94,36.52,149.7,58,12.72,283.4,66,12.75,10.2,5,2.75,0,no 1256 | UT,201,area_code_510,no,no,0,212.7,72,36.16,225.2,90,19.14,195.1,99,8.78,7.0,6,1.89,1,no 1257 | OR,69,area_code_408,no,no,0,196.1,87,33.34,236.8,66,20.13,182.3,75,8.2,11.9,1,3.21,0,no 1258 | GA,58,area_code_408,no,no,0,165.4,100,28.12,115.7,87,9.83,193.8,118,8.72,12.8,5,3.46,2,no 1259 | WA,136,area_code_415,no,yes,16,90.4,105,15.37,201.3,109,17.11,227.1,115,10.22,13.1,4,3.54,0,no 1260 | WI,143,area_code_510,no,no,0,194.3,99,33.03,123.6,133,10.51,229.5,99,10.33,10.2,2,2.75,2,no 1261 | TN,59,area_code_415,no,no,0,160.9,95,27.35,251.2,65,21.35,273.4,97,12.3,5.0,5,1.35,3,no 1262 | WV,68,area_code_415,no,no,0,231.1,57,39.29,153.4,55,13.04,191.3,123,8.61,9.6,4,2.59,3,no 1263 | OR,122,area_code_408,no,no,0,152.0,86,25.84,162.8,61,13.84,161.9,98,7.29,9.3,3,2.51,1,no 1264 | VA,89,area_code_415,no,yes,32,209.9,113,35.68,249.8,104,21.23,224.2,92,10.09,8.7,7,2.35,1,no 1265 | GA,58,area_code_510,no,no,0,243.1,105,41.33,231.4,108,19.67,180.9,120,8.14,7.8,4,2.11,2,no 1266 | CO,68,area_code_408,no,no,0,237.1,105,40.31,223.5,105,19.0,97.4,79,4.38,13.2,2,3.56,1,no 1267 | SD,166,area_code_510,no,yes,32,148.4,86,25.23,170.6,119,14.5,201.5,124,9.07,11.3,12,3.05,1,no 1268 | RI,131,area_code_415,no,no,0,112.8,133,19.18,199.4,116,16.95,142.7,105,6.42,10.1,5,2.73,0,no 1269 | TN,95,area_code_510,no,no,0,174.0,57,29.58,281.1,118,23.89,197.2,94,8.87,9.7,2,2.62,0,no 1270 | SD,116,area_code_408,no,no,0,167.8,119,28.53,142.0,123,12.07,190.7,128,8.58,7.3,4,1.97,2,no 1271 | IA,79,area_code_415,no,yes,17,167.9,114,28.54,243.7,93,20.71,211.9,114,9.54,9.1,2,2.46,1,no 1272 | CO,97,area_code_510,yes,no,0,230.6,131,39.2,261.3,136,22.21,157.1,96,7.07,6.8,4,1.84,0,no 1273 | IA,86,area_code_408,no,no,0,126.3,115,21.47,168.8,112,14.35,154.6,95,6.96,9.8,7,2.65,2,no 1274 | MN,115,area_code_415,no,no,0,200.2,92,34.03,244.9,107,20.82,190.9,96,8.59,8.8,3,2.38,1,no 1275 | NV,83,area_code_510,no,yes,31,129.8,87,22.07,183.4,110,15.59,169.4,40,7.62,14.3,6,3.86,1,no 1276 | SC,181,area_code_408,no,no,0,229.9,130,39.08,144.4,93,12.27,262.4,110,11.81,14.2,4,3.83,2,no 1277 | --------------------------------------------------------------------------------