├── tests ├── __init__.py └── test_utils.py ├── pandasai_app ├── __init__.py ├── components │ ├── __init__.py │ └── faq.py ├── utils.py ├── prompts.py └── main.py ├── poetry.toml ├── .streamlit └── config.toml ├── exports └── charts │ └── temp_chart.png ├── requirements.txt ├── .flake8 ├── docker-compose.yml ├── data ├── test_data.csv ├── questions.md └── Loan payments data.csv ├── Dockerfile ├── pyproject.toml ├── LICENSE ├── README.md └── .gitignore /tests/__init__.py: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /tests/test_utils.py: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /pandasai_app/__init__.py: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /pandasai_app/components/__init__.py: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /poetry.toml: -------------------------------------------------------------------------------- 1 | [virtualenvs] 2 | in-project = false 3 | -------------------------------------------------------------------------------- /.streamlit/config.toml: -------------------------------------------------------------------------------- 1 | [server] 2 | maxUploadSize = 15 3 | runOnSave = true -------------------------------------------------------------------------------- /exports/charts/temp_chart.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/amjadraza/pandasai-app/HEAD/exports/charts/temp_chart.png -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | streamlit == 1.40.2 2 | pandasai == 2.4.0 3 | numpy == 1.26.3 4 | PyYAML == 6.0.2 5 | pandas == 1.5.3 -------------------------------------------------------------------------------- /.flake8: -------------------------------------------------------------------------------- 1 | [flake8] 2 | exclude = 3 | venv 4 | .venv 5 | __pycache__ 6 | notebooks 7 | data 8 | # Recommend matching the black line length (default 88), 9 | # rather than using the flake8 default of 79: 10 | max-line-length = 88 11 | -------------------------------------------------------------------------------- /docker-compose.yml: -------------------------------------------------------------------------------- 1 | version: '3' 2 | services: 3 | pandasai-app: 4 | image: pandasai-app 5 | build: ./app 6 | command: streamlit run pandasai_app/main.py 7 | volumes: 8 | - ./pandasai_app/:/app/pandasai_app 9 | ports: 10 | - 8501:8501 11 | -------------------------------------------------------------------------------- /data/test_data.csv: -------------------------------------------------------------------------------- 1 | ,country,gdp,happiness_index 2 | 0,United States,21400000,7.3 3 | 1,United Kingdom,2940000,7.2 4 | 2,France,2830000,6.5 5 | 3,Germany,3870000,7.0 6 | 4,Italy,2160000,6.0 7 | 5,Spain,1350000,6.3 8 | 6,Canada,1780000,7.3 9 | 7,Australia,1320000,7.3 10 | 8,Japan,516000,5.9 11 | 9,China,14000000,5.0 12 | -------------------------------------------------------------------------------- /Dockerfile: -------------------------------------------------------------------------------- 1 | FROM python:3.10-slim-bullseye 2 | 3 | ENV HOST=0.0.0.0 4 | 5 | ENV LISTEN_PORT 8501 6 | 7 | EXPOSE 8501 8 | 9 | RUN apt-get update && apt-get install -y git 10 | 11 | COPY ./requirements.txt /app/requirements.txt 12 | 13 | RUN pip install --no-cache-dir --upgrade -r /app/requirements.txt 14 | 15 | WORKDIR app/ 16 | 17 | COPY ./pandasai_app /app/pandasai_app 18 | COPY ./.streamlit /app/.streamlit 19 | 20 | CMD ["streamlit", "run", "pandasai_app/main.py"] 21 | -------------------------------------------------------------------------------- /data/questions.md: -------------------------------------------------------------------------------- 1 | # Example Questions 2 | 3 | To test out the APP, Below are Sample Questions for Two Data Files 4 | 5 | ## test_data.csv 6 | It is tiny samples of Countries with Happiness Index and gdp 7 | 8 | 1. Which are the 5 happiest countries? 9 | 10 | 11 | ## Loan Payments data.csv 12 | 13 | This is sample of datasets with Loan Repayments. 14 | 15 | 1. How many loans are from men that have been paid off? 16 | 17 | > User Specific datasets can be tested, would love to have feedbacks and bugs. 18 | -------------------------------------------------------------------------------- /pyproject.toml: -------------------------------------------------------------------------------- 1 | [tool.poetry] 2 | name = "pandasai-app" 3 | version = "1.0.0" 4 | description = "An app to have conversational pandas dataframes" 5 | authors = ["Datafy Associates "] 6 | license = "MIT" 7 | readme = "README.md" 8 | packages = [{include = "pandasai_app"}] 9 | 10 | [tool.poetry.dependencies] 11 | python = ">=3.9,<3.9.7 || >3.9.7,<4.0" 12 | streamlit = "1.40.2" 13 | pandasai = "2.4.0" 14 | numpy = "1.26.3" 15 | PyYAML = "^6.0.2" 16 | 17 | 18 | [tool.poetry.group.dev.dependencies] 19 | python-dotenv = "^1.0.1" 20 | pytest = "8.3.3" 21 | 22 | 23 | [tool.poetry.group.lint.dependencies] 24 | isort = "^5.12.0" 25 | black = {version = "^23.1a1", allow-prereleases = true} 26 | flake8 = "^6.0.0" 27 | 28 | [tool.isort] 29 | profile = "black" 30 | 31 | [build-system] 32 | requires = ["poetry-core"] 33 | build-backend = "poetry.core.masonry.api" 34 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2023 DR. AMJAD RAZA 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /pandasai_app/utils.py: -------------------------------------------------------------------------------- 1 | import re 2 | from io import BytesIO 3 | from typing import Any, Dict, List 4 | from pandasai import PandasAI 5 | from pandasai.llm.openai import OpenAI 6 | import pandas as pd 7 | import streamlit as st 8 | 9 | def clear_submit(): 10 | """ 11 | Clear the Submit Button State 12 | Returns: 13 | 14 | """ 15 | st.session_state["submit"] = False 16 | 17 | 18 | def run_pandasai_openaiapi(df, prompt, verbose=False): 19 | """ 20 | A function to run the Query on given Pandas Dataframe 21 | Args: 22 | df: Pandas dataframe 23 | prompt: Query / Prompt related to data 24 | verbose: A parameter to show the intermediate code generation 25 | 26 | Returns: Response / Results 27 | 28 | """ 29 | 30 | llm = OpenAI(api_token=st.session_state.get("OPENAI_API_KEY")) 31 | pandas_ai = PandasAI(llm, verbose=verbose) 32 | response = pandas_ai.run(df, prompt=prompt) 33 | 34 | return response 35 | 36 | 37 | st.cache_data() 38 | def parse_csv(file: BytesIO) -> str: 39 | """ 40 | A function to read the csv File 41 | Args: 42 | file: File Location 43 | 44 | Returns: Pandas dataframe 45 | 46 | """ 47 | df = pd.read_csv(file) 48 | 49 | return df 50 | 51 | 52 | -------------------------------------------------------------------------------- /pandasai_app/components/faq.py: -------------------------------------------------------------------------------- 1 | # flake8: noqa 2 | import streamlit as st 3 | 4 | 5 | def faq(): 6 | st.markdown( 7 | """ 8 | # FAQ 9 | ## How does Pandasai App work? 10 | When you upload a cleaned CSV, it is converted into pandas dataframe. 11 | Using OpenAI API, A python code is generated and run as per submitted query or 12 | prompt. 13 | 14 | 15 | ## Is my data safe? 16 | Yes, your data is safe. Pandasai APp does not store your documents or 17 | questions or API Key. All uploaded data is deleted after you close the browser tab. 18 | 19 | ## What are the costs associated to using Openai API? 20 | Yes, there is cost associated when using Openai API. Please read the Pricing when signing up. 21 | 22 | ## Does this App Supports Plots? 23 | This is Work In Progress.Yes, Plots will be supported in future. 24 | 25 | ## Are the answers 100% accurate? 26 | No, the answers are not 100% accurate. Pandasai App uses the Openai API which tries to match answers close to 100%. 27 | As you are aware, this is still work in progress. 28 | 29 | ## Support of Other APIs e.g Azure, HuggingFace, Dolly or Bard? 30 | This tool will be expanded to allow use of other LLMs API providers. 31 | 32 | ## Support of Other APIs e.g Azure, HuggingFace, Dolly or Bard? 33 | This tool will be expanded to allow use of other LLMs API providers. 34 | 35 | """ 36 | ) 37 | -------------------------------------------------------------------------------- /pandasai_app/prompts.py: -------------------------------------------------------------------------------- 1 | # flake8: noqa 2 | # from langchain.prompts import PromptTemplate 3 | 4 | ## Use a shorter template to reduce the number of tokens in the prompt 5 | template = """Create a final answer to the given questions using the provided document excerpts(in no particular order) as references. ALWAYS include a "SOURCES" section in your answer including only the minimal set of sources needed to answer the question. If you are unable to answer the question, simply state that you do not know. Do not attempt to fabricate an answer and leave the SOURCES section empty. 6 | 7 | --------- 8 | 9 | QUESTION: What is the purpose of ARPA-H? 10 | ========= 11 | Content: More support for patients and families. \n\nTo get there, I call on Congress to fund ARPA-H, the Advanced Research Projects Agency for Health. \n\nIt’s based on DARPA—the Defense Department project that led to the Internet, GPS, and so much more. \n\nARPA-H will have a singular purpose—to drive breakthroughs in cancer, Alzheimer’s, diabetes, and more. 12 | Source: 1-32 13 | Content: While we’re at it, let’s make sure every American can get the health care they need. \n\nWe’ve already made historic investments in health care. \n\nWe’ve made it easier for Americans to get the care they need, when they need it. \n\nWe’ve made it easier for Americans to get the treatments they need, when they need them. \n\nWe’ve made it easier for Americans to get the medications they need, when they need them. 14 | Source: 1-33 15 | Content: The V.A. is pioneering new ways of linking toxic exposures to disease, already helping veterans get the care they deserve. \n\nWe need to extend that same care to all Americans. \n\nThat’s why I’m calling on Congress to pass legislation that would establish a national registry of toxic exposures, and provide health care and financial assistance to those affected. 16 | Source: 1-30 17 | ========= 18 | FINAL ANSWER: The purpose of ARPA-H is to drive breakthroughs in cancer, Alzheimer’s, diabetes, and more. 19 | SOURCES: 1-32 20 | 21 | --------- 22 | 23 | QUESTION: {question} 24 | ========= 25 | {summaries} 26 | ========= 27 | FINAL ANSWER:""" 28 | 29 | # STUFF_PROMPT = PromptTemplate( 30 | # template=template, input_variables=["summaries", "question"] 31 | # ) 32 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 |

2 | 📖PANDASAI APP 3 |

4 | 5 | An App to interact with Pandas Dataframes using Generative AI (LLMs). This app is built using `streamlit` 6 | as front end and using [`pandasai`](https://github.com/gventuri/pandas-ai) a higher level python wrapper to make dataframes conversational. 7 | 8 | `pandasai` made available `openai`, `HuggingFace` and `Azure` APIs for Generative AI capabilities. 9 | User can configure their choice of Platform for backend. 10 | 11 | ## 🔧 Features 12 | 13 | - Upload csv 📁(csv) and ask questions about the uploaded Data. 14 | - Ask Questions about the data 15 | - Interact with your data like a Human 16 | 17 | ## 💻 Running Locally 18 | 19 | 1. Clone the repository📂 20 | 21 | ```bash 22 | git clone https://github.com/amjadraza/pandasai-app.git 23 | ``` 24 | 25 | 2. Install dependencies with [Poetry](https://python-poetry.org/) and activate virtual environment🔨 26 | 27 | ```bash 28 | poetry install 29 | poetry shell 30 | ``` 31 | 32 | 2B. Using `uv` Package Manager to prepare the virtual environment 33 | 34 | ```bash 35 | uv venv 36 | uv pip install -r requirements.txt 37 | ``` 38 | 39 | > `uv` package managere is ultra fast. 40 | 41 | 3. Run the Streamlit server🚀 42 | 43 | ```bash 44 | cd pandasai_app 45 | streamlit run main.py 46 | ``` 47 | 48 | Run App using Docker 49 | -------------------- 50 | This project includes `Dockerfile` to run the app in Docker container. 51 | 52 | Build the docker container 53 | 54 | ``docker build -t pandasai-app .`` 55 | 56 | 1. Run the docker container directly 57 | 58 | ``docker run -d --name pai_app -p 8501:8501 pandasai-app`` 59 | 60 | 2. Run the docker container using docker-compose (Recommended) 61 | 62 | ``docker-compose up`` 63 | 64 | ## 🚀 Upcoming Features 65 | 66 | - [ ] Add support for more models (e.g.HuggingFace, Azure.). 67 | - [ ] Adding Functionality of Plotting. 68 | - [ ] Some Generic insights on Uploaded Data (e.g Shape, head etc) 69 | - [x] Adding Docker Support to run the App in Docker 70 | - [ ] Push Docker Image to DockerHub for Public use 71 | - [ ] Deploying App on Google App Engine 72 | 73 | ## Report Feedbacks 74 | 75 | As `pandasai` is in active developments as well as LLMs sometime go south. 76 | Please report your feedbacks for improvements. 77 | 78 | ## DISCLAIMER 79 | 80 | The Pandasai app (hereinafter referred to as "the App") is provided for informational purposes only. 81 | The creators and authors of the App make no representations or warranties of any kind, 82 | express or implied, about the completeness, accuracy, reliability, suitability, 83 | or availability of the App or the information, products, services, 84 | r related graphics contained in the App. 85 | 86 | We do not store any of data or API keys. Users can refresh Keys as part of Best Practices. 87 | 88 | This disclaimer is subject to change without notice. It is your responsibility to review this disclaimer periodically 89 | for any updates or changes. -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # Local data 2 | data/local_data/ 3 | 4 | # Secrets 5 | .streamlit/secrets.toml 6 | 7 | # VSCode 8 | .vscode/ 9 | 10 | # TODO 11 | TODO.md 12 | 13 | # Byte-compiled / optimized / DLL files 14 | __pycache__/ 15 | *.py[cod] 16 | *$py.class 17 | 18 | # C extensions 19 | *.so 20 | 21 | # Distribution / packaging 22 | .Python 23 | build/ 24 | develop-eggs/ 25 | dist/ 26 | downloads/ 27 | eggs/ 28 | .eggs/ 29 | lib/ 30 | lib64/ 31 | parts/ 32 | sdist/ 33 | var/ 34 | wheels/ 35 | share/python-wheels/ 36 | *.egg-info/ 37 | .installed.cfg 38 | *.egg 39 | MANIFEST 40 | 41 | # PyInstaller 42 | # Usually these files are written by a python script from a template 43 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 44 | *.manifest 45 | *.spec 46 | 47 | # Installer logs 48 | pip-log.txt 49 | pip-delete-this-directory.txt 50 | 51 | # Unit test / coverage reports 52 | htmlcov/ 53 | .tox/ 54 | .nox/ 55 | .coverage 56 | .coverage.* 57 | .cache 58 | nosetests.xml 59 | coverage.xml 60 | *.cover 61 | *.py,cover 62 | .hypothesis/ 63 | .pytest_cache/ 64 | cover/ 65 | 66 | # Translations 67 | *.mo 68 | *.pot 69 | 70 | # Django stuff: 71 | *.log 72 | local_settings.py 73 | db.sqlite3 74 | db.sqlite3-journal 75 | 76 | # Flask stuff: 77 | instance/ 78 | .webassets-cache 79 | 80 | # Scrapy stuff: 81 | .scrapy 82 | 83 | # Sphinx documentation 84 | docs/_build/ 85 | 86 | # PyBuilder 87 | .pybuilder/ 88 | target/ 89 | 90 | # Jupyter Notebook 91 | .ipynb_checkpoints 92 | 93 | # IPython 94 | profile_default/ 95 | ipython_config.py 96 | 97 | # pdm 98 | # Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. 99 | #pdm.lock 100 | # pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it 101 | # in version control. 102 | # https://pdm.fming.dev/#use-with-ide 103 | .pdm.toml 104 | 105 | # PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm 106 | __pypackages__/ 107 | 108 | # Celery stuff 109 | celerybeat-schedule 110 | celerybeat.pid 111 | 112 | # SageMath parsed files 113 | *.sage.py 114 | 115 | # Environments 116 | .env 117 | .venv 118 | env/ 119 | venv/ 120 | ENV/ 121 | env.bak/ 122 | venv.bak/ 123 | 124 | # Spyder project settings 125 | .spyderproject 126 | .spyproject 127 | 128 | # Rope project settings 129 | .ropeproject 130 | 131 | # mkdocs documentation 132 | /site 133 | 134 | # mypy 135 | .mypy_cache/ 136 | .dmypy.json 137 | dmypy.json 138 | 139 | # Pyre type checker 140 | .pyre/ 141 | 142 | # pytype static type analyzer 143 | .pytype/ 144 | 145 | # Cython debug symbols 146 | cython_debug/ 147 | 148 | # PyCharm 149 | # JetBrains specific template is maintained in a separate JetBrains.gitignore that can 150 | # be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore 151 | # and can be added to the global gitignore or merged into this file. For a more nuclear 152 | # option (not recommended) you can uncomment the following to ignore the entire idea folder. 153 | .idea/ 154 | 155 | 156 | -------------------------------------------------------------------------------- /pandasai_app/main.py: -------------------------------------------------------------------------------- 1 | 2 | # from langchain.llms import OpenAI 3 | from pandasai import SmartDataframe 4 | from pandasai.llm import OpenAI 5 | # from pandasai.callbacks import StdoutCallback 6 | from pandasai.llm import OpenAI 7 | import streamlit as st 8 | import pandas as pd 9 | import os 10 | from pandasai_app.components.faq import faq 11 | 12 | file_formats = { 13 | "csv": pd.read_csv, 14 | "xls": pd.read_excel, 15 | "xlsx": pd.read_excel, 16 | "xlsm": pd.read_excel, 17 | "xlsb": pd.read_excel, 18 | "feather": pd.read_feather 19 | } 20 | 21 | def clear_submit(): 22 | """ 23 | Clear the Submit Button State 24 | Returns: 25 | 26 | """ 27 | st.session_state["submit"] = False 28 | 29 | 30 | @st.cache_data(ttl="2h") 31 | def load_data(uploaded_file): 32 | try: 33 | ext = os.path.splitext(uploaded_file.name)[1][1:].lower() 34 | except: 35 | ext = uploaded_file.split(".")[-1] 36 | if ext in file_formats: 37 | return file_formats[ext](uploaded_file) 38 | else: 39 | st.error(f"Unsupported file format: {ext}") 40 | return None 41 | 42 | 43 | st.set_page_config(page_title="PandasAI ", page_icon="🐼") 44 | st.title("🐼 PandasAI: Chat with CSV") 45 | 46 | uploaded_file = st.file_uploader( 47 | "Upload a Data file", 48 | type=list(file_formats.keys()), 49 | help="Various File formats are Support", 50 | on_change=clear_submit, 51 | ) 52 | 53 | if uploaded_file: 54 | df = load_data(uploaded_file) 55 | 56 | openai_api_key = st.sidebar.text_input("OpenAI API Key", 57 | type="password", 58 | placeholder="Paste your OpenAI API key here (sk-...)") 59 | 60 | with st.sidebar: 61 | st.markdown("---") 62 | st.markdown( 63 | "## How to use\n" 64 | "1. Enter your [OpenAI API key](https://platform.openai.com/account/api-keys) below🔑\n" # noqa: E501 65 | "2. Upload a csv file with data📄\n" 66 | "3. A csv file is read as Pandas Dataframe📄\n" 67 | "4. Ask a question about to make dataframe conversational💬\n" 68 | ) 69 | 70 | st.markdown("---") 71 | st.markdown("# About") 72 | st.markdown( 73 | "📖Pandasai App allows you to ask questions about your " 74 | "csv / dataframe and get accurate answers" 75 | ) 76 | st.markdown( 77 | "Pandasai is in active development so is this tool." 78 | "You can contribute to the project on [GitHub]() " # noqa: E501 79 | "with your feedback and suggestions💡" 80 | ) 81 | st.markdown("Made by [DR. AMJAD RAZA](https://www.linkedin.com/in/amjadraza/)") 82 | st.markdown("---") 83 | 84 | faq() 85 | 86 | if "messages" not in st.session_state or st.sidebar.button("Clear conversation history"): 87 | st.session_state["messages"] = [{"role": "assistant", "content": "How can I help you?"}] 88 | 89 | for msg in st.session_state.messages: 90 | st.chat_message(msg["role"]).write(msg["content"]) 91 | 92 | if prompt := st.chat_input(placeholder="What is this data about?"): 93 | st.session_state.messages.append({"role": "user", "content": prompt}) 94 | st.chat_message("user").write(prompt) 95 | 96 | if not openai_api_key: 97 | st.info("Please add your OpenAI API key to continue.") 98 | st.stop() 99 | 100 | #PandasAI OpenAI Model 101 | llm = OpenAI(api_token=openai_api_key) 102 | # llm = OpenAI(api_token=openai_api_key) 103 | print(df.head()) 104 | sdf = SmartDataframe(df, config = {"llm": llm, 105 | "enable_cache": False, 106 | "conversational": True, 107 | # "callback": StdoutCallback() 108 | }) 109 | 110 | with st.chat_message("assistant"): 111 | print(st.session_state.messages) 112 | response = sdf.chat(prompt) 113 | st.session_state.messages.append({"role": "assistant", "content": response}) 114 | st.write(response) 115 | -------------------------------------------------------------------------------- /data/Loan payments data.csv: -------------------------------------------------------------------------------- 1 | Loan_ID,loan_status,Principal,terms,effective_date,due_date,paid_off_time,past_due_days,age,education,Gender 2 | xqd20166231,PAIDOFF,1000,30,9/8/2016,10/7/2016,9/14/2016 19:31,,45,High School or Below,male 3 | xqd20168902,PAIDOFF,1000,30,9/8/2016,10/7/2016,10/7/2016 9:00,,50,Bechalor,female 4 | xqd20160003,PAIDOFF,1000,30,9/8/2016,10/7/2016,9/25/2016 16:58,,33,Bechalor,female 5 | xqd20160004,PAIDOFF,1000,15,9/8/2016,9/22/2016,9/22/2016 20:00,,27,college,male 6 | xqd20160005,PAIDOFF,1000,30,9/9/2016,10/8/2016,9/23/2016 21:36,,28,college,female 7 | xqd20160706,PAIDOFF,300,7,9/9/2016,9/15/2016,9/9/2016 13:45,,35,Master or Above,male 8 | xqd20160007,PAIDOFF,1000,30,9/9/2016,10/8/2016,10/7/2016 23:07,,29,college,male 9 | xqd20160008,PAIDOFF,1000,30,9/9/2016,10/8/2016,10/5/2016 20:33,,36,college,male 10 | xqd20160909,PAIDOFF,1000,30,9/9/2016,10/8/2016,10/8/2016 16:00,,28,college,male 11 | xqd20160010,PAIDOFF,800,15,9/10/2016,9/24/2016,9/24/2016 13:00,,26,college,male 12 | xqd20160011,PAIDOFF,300,7,9/10/2016,9/16/2016,9/11/2016 19:11,,29,college,male 13 | xqd20160012,PAIDOFF,1000,15,9/10/2016,10/9/2016,10/9/2016 16:00,,39,High School or Below,male 14 | xqd20160013,PAIDOFF,1000,30,9/10/2016,10/9/2016,10/7/2016 23:32,,26,college,male 15 | xqd20160014,PAIDOFF,900,7,9/10/2016,9/16/2016,9/13/2016 21:57,,26,college,female 16 | xqd20160015,PAIDOFF,1000,7,9/10/2016,9/16/2016,9/15/2016 14:27,,27,High School or Below,male 17 | xqd20160016,PAIDOFF,800,15,9/10/2016,9/24/2016,9/24/2016 16:00,,26,college,male 18 | xqd20160017,PAIDOFF,1000,30,9/10/2016,10/9/2016,9/27/2016 14:21,,40,High School or Below,male 19 | xqd20160018,PAIDOFF,1000,15,9/10/2016,9/24/2016,9/23/2016 18:49,,32,High School or Below,male 20 | xqd20160019,PAIDOFF,1000,30,9/10/2016,10/9/2016,10/5/2016 22:05,,32,High School or Below,male 21 | xqd20160020,PAIDOFF,800,30,9/10/2016,10/9/2016,9/23/2016 7:42,,26,college,male 22 | xqd20160021,PAIDOFF,1000,30,9/10/2016,10/9/2016,10/9/2016 9:00,,26,college,male 23 | xqd20160022,PAIDOFF,1000,30,9/10/2016,10/9/2016,10/8/2016 17:09,,43,High School or Below,female 24 | xqd20160023,PAIDOFF,1000,30,9/10/2016,10/9/2016,10/9/2016 23:00,,25,High School or Below,male 25 | xqd20160024,PAIDOFF,1000,15,9/10/2016,9/24/2016,9/24/2016 13:00,,26,college,male 26 | xqd20160025,PAIDOFF,1000,30,9/10/2016,10/9/2016,10/3/2016 12:50,,26,college,male 27 | xqd20160026,PAIDOFF,1000,30,9/10/2016,10/9/2016,9/29/2016 12:18,,29,High School or Below,male 28 | xqd20160027,PAIDOFF,800,15,9/10/2016,9/24/2016,9/21/2016 20:16,,39,Bechalor,male 29 | xqd20170088,PAIDOFF,1000,15,9/10/2016,9/24/2016,9/23/2016 8:21,,34,Bechalor,male 30 | xqd20160029,PAIDOFF,1000,30,9/11/2016,10/10/2016,9/22/2016 19:17,,31,college,male 31 | xqd20160030,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/9/2016 17:33,,33,college,male 32 | xqd88160031,PAIDOFF,800,15,9/11/2016,9/25/2016,9/24/2016 14:41,,33,High School or Below,male 33 | xqd20160032,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/7/2016 21:48,,37,college,male 34 | xqd20160033,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/9/2016 17:44,,27,college,male 35 | xqd22169034,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/9/2016 7:24,,37,college,male 36 | xqd20160035,PAIDOFF,800,15,9/11/2016,9/25/2016,9/25/2016 21:49,,33,college,male 37 | xqd20160036,PAIDOFF,800,15,9/11/2016,9/25/2016,9/25/2016 9:00,,29,Bechalor,male 38 | xqd20160037,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/10/2016 16:00,,27,High School or Below,male 39 | xqd20160038,PAIDOFF,700,15,9/11/2016,9/25/2016,9/25/2016 13:00,,33,High School or Below,male 40 | xqd20160039,PAIDOFF,1000,15,9/11/2016,9/25/2016,9/25/2016 9:00,,24,college,male 41 | xqd20160040,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/10/2016 11:33,,21,Bechalor,male 42 | xqd20160041,PAIDOFF,1000,15,9/11/2016,9/25/2016,9/25/2016 9:00,,32,college,female 43 | xqd20160042,PAIDOFF,800,15,9/11/2016,9/25/2016,9/25/2016 14:36,,30,college,male 44 | xqd20160043,PAIDOFF,1000,7,9/11/2016,9/24/2016,9/24/2016 9:00,,31,Bechalor,male 45 | xqd20160044,PAIDOFF,1000,15,9/11/2016,9/25/2016,9/20/2016 15:00,,30,college,male 46 | xqd20160045,PAIDOFF,1000,15,9/11/2016,9/25/2016,9/21/2016 22:29,,24,Bechalor,female 47 | xqd20160046,PAIDOFF,800,7,9/11/2016,9/17/2016,9/12/2016 22:17,,35,High School or Below,male 48 | xqd20160047,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/8/2016 14:14,,22,High School or Below,male 49 | xqd20160048,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/9/2016 8:53,,32,college,male 50 | xqd20160049,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/10/2016 9:00,,32,Bechalor,male 51 | xqd20160050,PAIDOFF,800,15,9/11/2016,9/25/2016,9/25/2016 19:21,,50,High School or Below,male 52 | xqd20160051,PAIDOFF,800,15,9/11/2016,9/25/2016,9/25/2016 13:00,,27,college,female 53 | xqd20160052,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/10/2016 9:00,,35,Bechalor,female 54 | xqd20160053,PAIDOFF,800,15,9/11/2016,9/25/2016,9/13/2016 4:34,,35,Bechalor,female 55 | xqd20160054,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/10/2016 9:00,,34,High School or Below,male 56 | xqd20160055,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/10/2016 16:00,,21,High School or Below,male 57 | xqd20160056,PAIDOFF,1000,15,9/11/2016,9/25/2016,9/25/2016 16:00,,25,college,male 58 | xqd20160057,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/10/2016 9:00,,27,High School or Below,male 59 | xqd20160058,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/7/2016 2:33,,26,Bechalor,male 60 | xqd20160059,PAIDOFF,800,15,9/11/2016,9/25/2016,9/24/2016 11:40,,44,High School or Below,female 61 | xqd20160060,PAIDOFF,800,15,9/11/2016,9/25/2016,9/22/2016 6:38,,39,Master or Above,male 62 | xqd20160061,PAIDOFF,1000,30,9/11/2016,10/10/2016,9/30/2016 21:12,,34,Bechalor,male 63 | xqd20160062,PAIDOFF,1000,15,9/11/2016,9/25/2016,9/24/2016 13:42,,37,college,male 64 | xqd20160063,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/8/2016 7:25,,34,High School or Below,male 65 | xqd20160064,PAIDOFF,1000,30,9/11/2016,10/10/2016,9/12/2016 11:40,,45,college,male 66 | xqd20160065,PAIDOFF,800,15,9/11/2016,9/25/2016,9/25/2016 14:38,,24,High School or Below,male 67 | xqd20160066,PAIDOFF,900,15,9/11/2016,9/25/2016,9/25/2016 23:00,,28,college,male 68 | xqd20160067,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/8/2016 12:04,,28,Bechalor,male 69 | xqd20160068,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/10/2016 9:00,,37,High School or Below,male 70 | xqd20160069,PAIDOFF,300,7,9/11/2016,9/17/2016,9/14/2016 22:05,,35,college,male 71 | xqd20160070,PAIDOFF,1000,30,9/11/2016,10/10/2016,9/24/2016 13:27,,43,Bechalor,male 72 | xqd20160071,PAIDOFF,800,15,9/11/2016,9/25/2016,9/22/2016 21:18,,29,college,male 73 | xqd20160072,PAIDOFF,800,15,9/11/2016,9/25/2016,9/24/2016 22:53,,29,High School or Below,male 74 | xqd20160073,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/10/2016 16:00,,33,Bechalor,female 75 | xqd20160074,PAIDOFF,1000,15,9/11/2016,9/25/2016,9/25/2016 9:00,,34,college,male 76 | xqd20160075,PAIDOFF,1000,15,9/11/2016,9/25/2016,9/25/2016 9:00,,25,college,male 77 | xqd20160076,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/8/2016 13:12,,30,High School or Below,male 78 | xqd20160077,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/9/2016 13:49,,31,Bechalor,male 79 | xqd20160078,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/10/2016 9:00,,35,college,male 80 | xqd20160079,PAIDOFF,1000,30,9/11/2016,10/10/2016,9/30/2016 14:29,,37,college,female 81 | xqd20160080,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/10/2016 9:00,,44,High School or Below,female 82 | xqd20160081,PAIDOFF,1000,30,9/11/2016,10/10/2016,9/21/2016 16:18,,28,High School or Below,male 83 | xqd20160082,PAIDOFF,1000,7,9/11/2016,9/17/2016,9/13/2016 14:53,,25,college,male 84 | xqd20160083,PAIDOFF,1000,15,9/11/2016,9/25/2016,9/25/2016 9:00,,29,college,male 85 | xqd20160084,PAIDOFF,800,15,9/11/2016,9/25/2016,9/25/2016 13:00,,33,college,male 86 | xqd20160085,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/10/2016 13:00,,37,High School or Below,female 87 | xqd20160086,PAIDOFF,1000,30,9/11/2016,11/9/2016,11/9/2016 9:00,,33,college,male 88 | xqd20160087,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/10/2016 9:00,,24,High School or Below,female 89 | xqd20160088,PAIDOFF,1000,30,9/11/2016,10/10/2016,9/17/2016 13:01,,27,college,female 90 | xqd20160089,PAIDOFF,800,15,9/11/2016,9/25/2016,9/21/2016 9:35,,43,Bechalor,male 91 | xqd90160090,PAIDOFF,800,15,9/11/2016,9/25/2016,9/24/2016 20:33,,46,High School or Below,female 92 | xqd91160291,PAIDOFF,800,15,9/11/2016,9/25/2016,9/25/2016 9:00,,34,college,female 93 | xqd90160092,PAIDOFF,1000,7,9/11/2016,9/17/2016,9/17/2016 9:00,,32,Bechalor,female 94 | xqd90163093,PAIDOFF,800,15,9/11/2016,9/25/2016,9/24/2016 0:12,,38,High School or Below,male 95 | xqd20160094,PAIDOFF,800,15,9/11/2016,9/25/2016,9/21/2016 12:43,,27,High School or Below,male 96 | xqd20167095,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/10/2016 13:00,,33,High School or Below,male 97 | xqd20160096,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/8/2016 20:49,,36,college,male 98 | xqd20160097,PAIDOFF,1000,15,9/11/2016,9/25/2016,9/20/2016 5:38,,26,High School or Below,male 99 | xqd20160098,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/10/2016 9:01,,34,college,male 100 | xqd20160099,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/10/2016 9:01,,22,High School or Below,male 101 | xqd20160100,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/8/2016 16:55,,31,Bechalor,female 102 | xqd20160101,PAIDOFF,1000,7,9/11/2016,9/17/2016,9/17/2016 9:00,,29,High School or Below,male 103 | xqd20160102,PAIDOFF,800,15,9/11/2016,9/25/2016,9/25/2016 9:00,,38,college,male 104 | xqd20160103,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/10/2016 16:00,,30,college,male 105 | xqd20160104,PAIDOFF,1000,15,9/11/2016,9/25/2016,9/25/2016 23:48,,45,High School or Below,male 106 | xqd20160105,PAIDOFF,1000,15,9/11/2016,9/25/2016,9/22/2016 13:15,,35,college,male 107 | xqd20160106,PAIDOFF,1000,30,9/11/2016,10/10/2016,9/23/2016 13:31,,30,college,male 108 | xqd20160107,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/8/2016 17:19,,31,High School or Below,male 109 | xqd20160108,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/10/2016 9:01,,31,High School or Below,male 110 | xqd20160109,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/9/2016 13:05,,28,college,male 111 | xqd20160110,PAIDOFF,1000,7,9/11/2016,9/24/2016,9/24/2016 13:00,,29,college,male 112 | xqd20160111,PAIDOFF,800,15,9/11/2016,9/25/2016,9/20/2016 20:47,,29,college,male 113 | xqd20160112,PAIDOFF,1000,30,9/11/2016,11/9/2016,11/9/2016 9:00,,27,college,female 114 | xqd20160113,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/10/2016 9:01,,27,college,male 115 | xqd20160114,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/10/2016 13:01,,33,college,male 116 | xqd20160115,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/8/2016 21:39,,28,college,male 117 | xqd20160116,PAIDOFF,1000,15,9/11/2016,9/25/2016,9/25/2016 23:00,,25,High School or Below,male 118 | xqd20160117,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/7/2016 14:23,,40,college,male 119 | xqd20160118,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/6/2016 15:25,,23,High School or Below,male 120 | xqd20160119,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/8/2016 6:56,,35,Bechalor,male 121 | xqd20160120,PAIDOFF,800,15,9/11/2016,9/25/2016,9/16/2016 11:58,,24,college,male 122 | xqd20160121,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/10/2016 16:01,,34,college,male 123 | xqd20160122,PAIDOFF,1000,30,9/11/2016,10/10/2016,9/27/2016 7:02,,22,High School or Below,male 124 | xqd20160123,PAIDOFF,1000,15,9/11/2016,10/25/2016,10/25/2016 9:00,,20,college,male 125 | xqd20160124,PAIDOFF,1000,15,9/11/2016,9/25/2016,9/24/2016 11:02,,23,college,male 126 | xqd20160125,PAIDOFF,1000,30,9/11/2016,10/10/2016,9/29/2016 18:57,,33,college,male 127 | xqd20160126,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/10/2016 13:01,,26,college,male 128 | xqd20160127,PAIDOFF,1000,15,9/11/2016,9/25/2016,9/25/2016 9:00,,28,High School or Below,male 129 | xqd20160128,PAIDOFF,800,15,9/11/2016,9/25/2016,9/25/2016 12:24,,43,High School or Below,male 130 | xqd78160129,PAIDOFF,1000,15,9/11/2016,9/25/2016,9/25/2016 13:00,,34,Bechalor,male 131 | xqd20160130,PAIDOFF,1000,30,9/11/2016,10/10/2016,9/26/2016 4:41,,38,Bechalor,male 132 | xqd20160131,PAIDOFF,1000,15,9/11/2016,9/25/2016,9/22/2016 15:44,,26,High School or Below,male 133 | xqd20160132,PAIDOFF,800,15,9/11/2016,9/25/2016,9/25/2016 16:00,,43,High School or Below,male 134 | xqd20160133,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/10/2016 16:13,,26,High School or Below,male 135 | xqd20160134,PAIDOFF,1000,30,9/11/2016,10/10/2016,9/30/2016 7:12,,33,college,female 136 | xqd20160135,PAIDOFF,800,15,9/11/2016,9/25/2016,9/23/2016 11:26,,24,college,male 137 | xqd20160136,PAIDOFF,1000,30,9/11/2016,10/10/2016,9/12/2016 10:26,,30,High School or Below,male 138 | xqd20160137,PAIDOFF,800,15,9/11/2016,9/25/2016,9/25/2016 13:00,,32,High School or Below,female 139 | xqd20160138,PAIDOFF,1000,15,9/11/2016,10/25/2016,10/25/2016 9:00,,22,college,male 140 | xqd20160139,PAIDOFF,1000,15,9/11/2016,9/25/2016,9/22/2016 21:45,,47,High School or Below,male 141 | xqd56160140,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/9/2016 20:28,,20,High School or Below,male 142 | xqd20160141,PAIDOFF,1000,30,9/11/2016,10/10/2016,10/1/2016 16:48,,28,High School or Below,male 143 | xqd20160142,PAIDOFF,800,15,9/11/2016,9/25/2016,9/25/2016 9:01,,35,college,male 144 | xqd20160143,PAIDOFF,1000,7,9/11/2016,9/17/2016,9/15/2016 20:36,,27,High School or Below,male 145 | xqd20160144,PAIDOFF,800,15,9/11/2016,9/25/2016,9/21/2016 15:33,,33,college,female 146 | xqd20160145,PAIDOFF,1000,30,9/11/2016,10/10/2016,9/29/2016 13:36,,30,High School or Below,male 147 | xqd20160146,PAIDOFF,1000,15,9/11/2016,9/25/2016,9/22/2016 20:51,,31,college,male 148 | xqd20160147,PAIDOFF,1000,30,9/11/2016,11/9/2016,11/9/2016 23:00,,26,college,female 149 | xqd20160148,PAIDOFF,300,7,9/12/2016,9/18/2016,9/18/2016 9:00,,37,Master or Above,male 150 | xqd20160149,PAIDOFF,1000,15,9/12/2016,9/26/2016,9/26/2016 9:00,,26,Bechalor,male 151 | xqd20160150,PAIDOFF,800,15,9/12/2016,9/26/2016,9/24/2016 10:14,,35,Bechalor,male 152 | xqd20160151,PAIDOFF,1000,15,9/12/2016,10/26/2016,10/26/2016 9:00,,29,college,male 153 | xqd34160152,PAIDOFF,800,15,9/12/2016,9/26/2016,9/23/2016 20:30,,23,college,male 154 | xqd20160153,PAIDOFF,500,15,9/12/2016,9/26/2016,9/13/2016 20:17,,23,college,female 155 | xqd20160154,PAIDOFF,1000,15,9/12/2016,9/26/2016,9/26/2016 9:00,,30,college,male 156 | xqd20160155,PAIDOFF,1000,30,9/12/2016,10/11/2016,10/10/2016 7:01,,34,college,male 157 | xqd20160156,PAIDOFF,1000,30,9/12/2016,10/11/2016,10/11/2016 13:00,,36,High School or Below,female 158 | xqd20160157,PAIDOFF,1000,15,9/12/2016,9/26/2016,9/26/2016 9:00,,26,Bechalor,male 159 | xqd20160158,PAIDOFF,800,15,9/12/2016,9/26/2016,9/24/2016 14:55,,29,High School or Below,male 160 | xqd12160159,PAIDOFF,1000,15,9/12/2016,9/26/2016,9/26/2016 9:00,,28,college,female 161 | xqd20160160,PAIDOFF,1000,30,9/12/2016,10/11/2016,9/25/2016 20:56,,27,High School or Below,male 162 | xqd20160161,PAIDOFF,1000,15,9/12/2016,9/26/2016,9/22/2016 10:49,,24,High School or Below,male 163 | xqd20160162,PAIDOFF,800,15,9/12/2016,9/26/2016,9/25/2016 22:09,,31,Bechalor,male 164 | xqd20160163,PAIDOFF,1000,30,9/12/2016,10/11/2016,10/11/2016 9:00,,28,High School or Below,male 165 | xqd28160164,PAIDOFF,1000,15,9/12/2016,9/26/2016,9/26/2016 9:00,,27,college,female 166 | xqd20160165,PAIDOFF,1000,15,9/12/2016,9/26/2016,9/26/2016 19:33,,25,High School or Below,male 167 | xqd20160166,PAIDOFF,1000,30,9/12/2016,11/10/2016,11/10/2016 16:00,,24,High School or Below,male 168 | xqd20160167,PAIDOFF,1000,30,9/12/2016,10/11/2016,10/11/2016 16:00,,28,college,male 169 | xqd20160168,PAIDOFF,800,30,9/12/2016,10/11/2016,10/11/2016 16:00,,28,college,male 170 | xqd20160169,PAIDOFF,1000,15,9/12/2016,9/26/2016,9/26/2016 13:00,,35,High School or Below,male 171 | xqd27160170,PAIDOFF,1000,30,9/12/2016,10/11/2016,10/11/2016 13:00,,38,college,male 172 | xqd20160171,PAIDOFF,1000,15,9/12/2016,9/26/2016,9/26/2016 16:00,,38,High School or Below,male 173 | xqd20160172,PAIDOFF,1000,30,9/12/2016,10/11/2016,10/11/2016 16:00,,29,college,male 174 | xqd20160173,PAIDOFF,800,15,9/12/2016,9/26/2016,9/26/2016 13:00,,35,High School or Below,male 175 | xqd20160174,PAIDOFF,1000,30,9/12/2016,10/11/2016,9/17/2016 7:39,,24,college,male 176 | xqd20160175,PAIDOFF,800,15,9/12/2016,9/26/2016,9/22/2016 10:30,,39,High School or Below,male 177 | xqd20160176,PAIDOFF,800,15,9/12/2016,9/26/2016,9/26/2016 13:00,,25,college,male 178 | xqd20160177,PAIDOFF,1000,30,9/12/2016,10/11/2016,10/11/2016 16:00,,38,High School or Below,male 179 | xqd20160178,PAIDOFF,1000,30,9/12/2016,10/11/2016,10/10/2016 20:41,,30,college,male 180 | xqd20160179,PAIDOFF,1000,30,9/12/2016,10/11/2016,10/11/2016 9:00,,21,High School or Below,male 181 | xqd20160180,PAIDOFF,1000,30,9/12/2016,10/11/2016,10/10/2016 8:04,,46,college,male 182 | xqd20160181,PAIDOFF,1000,15,9/12/2016,9/26/2016,9/24/2016 11:00,,31,High School or Below,female 183 | xqd20160182,PAIDOFF,300,7,9/12/2016,9/18/2016,9/17/2016 9:25,,29,High School or Below,male 184 | xqd20160183,PAIDOFF,1000,30,9/12/2016,10/11/2016,10/7/2016 11:53,,35,High School or Below,male 185 | xqd20160184,PAIDOFF,800,15,9/12/2016,9/26/2016,9/25/2016 8:39,,30,High School or Below,male 186 | xqd20160185,PAIDOFF,1000,30,9/12/2016,10/11/2016,10/11/2016 9:00,,27,High School or Below,male 187 | xqd20160186,PAIDOFF,1000,30,9/12/2016,10/11/2016,10/10/2016 20:28,,31,High School or Below,female 188 | xqd20160187,PAIDOFF,1000,30,9/12/2016,10/11/2016,10/1/2016 10:18,,33,Bechalor,male 189 | xqd20160188,PAIDOFF,1000,15,9/12/2016,9/26/2016,9/26/2016 16:00,,34,High School or Below,male 190 | xqd20160189,PAIDOFF,800,15,9/12/2016,9/26/2016,9/19/2016 21:07,,28,college,male 191 | xqd20160190,PAIDOFF,800,15,9/12/2016,9/26/2016,9/26/2016 9:00,,42,college,male 192 | xqd20160191,PAIDOFF,1000,30,9/12/2016,10/11/2016,9/30/2016 14:38,,32,college,male 193 | xqd20160192,PAIDOFF,1000,30,9/12/2016,10/11/2016,10/11/2016 13:00,,30,High School or Below,male 194 | xqd20160193,PAIDOFF,1000,15,9/12/2016,9/26/2016,9/14/2016 20:31,,25,High School or Below,female 195 | xqd20160194,PAIDOFF,1000,30,9/12/2016,10/11/2016,10/11/2016 9:00,,27,High School or Below,female 196 | xqd20160195,PAIDOFF,800,15,9/12/2016,9/26/2016,9/24/2016 16:15,,21,college,male 197 | xqd20160196,PAIDOFF,1000,30,9/12/2016,10/11/2016,10/10/2016 15:49,,24,college,male 198 | xqd20160197,PAIDOFF,1000,30,9/12/2016,11/10/2016,11/10/2016 13:00,,29,college,male 199 | xqd20160198,PAIDOFF,1000,15,9/12/2016,9/26/2016,9/23/2016 10:32,,40,college,male 200 | xqd20160199,PAIDOFF,1000,30,9/12/2016,10/11/2016,9/30/2016 14:03,,29,High School or Below,male 201 | xqd20160200,PAIDOFF,1000,30,9/12/2016,10/11/2016,10/9/2016 14:17,,29,college,male 202 | xqd20160201,PAIDOFF,1000,15,9/12/2016,9/26/2016,9/20/2016 8:26,,30,college,male 203 | xqd20160202,PAIDOFF,1000,30,9/12/2016,10/11/2016,10/11/2016 23:00,,26,High School or Below,female 204 | xqd20160203,PAIDOFF,1000,15,9/12/2016,9/26/2016,9/24/2016 20:47,,36,High School or Below,male 205 | xqd20160204,PAIDOFF,800,15,9/12/2016,9/26/2016,9/26/2016 16:00,,27,college,male 206 | xqd20160205,PAIDOFF,1000,30,9/12/2016,10/11/2016,10/11/2016 9:01,,20,college,male 207 | xqd20160206,PAIDOFF,1000,7,9/12/2016,9/18/2016,9/16/2016 14:52,,26,Bechalor,female 208 | xqd20160207,PAIDOFF,1000,30,9/12/2016,11/10/2016,11/10/2016 13:00,,26,college,male 209 | xqd20160208,PAIDOFF,1000,30,9/12/2016,10/11/2016,10/9/2016 10:00,,27,college,male 210 | xqd20160209,PAIDOFF,300,7,9/12/2016,9/18/2016,9/12/2016 14:40,,23,High School or Below,male 211 | xqd20160210,PAIDOFF,1000,30,9/12/2016,10/11/2016,10/11/2016 16:00,,39,High School or Below,male 212 | xqd20160211,PAIDOFF,1000,15,9/12/2016,9/26/2016,9/23/2016 21:58,,27,High School or Below,male 213 | xqd20160212,PAIDOFF,1000,30,9/12/2016,10/11/2016,10/8/2016 18:48,,30,High School or Below,male 214 | xqd20160213,PAIDOFF,1000,30,9/12/2016,10/11/2016,10/10/2016 16:41,,33,High School or Below,female 215 | xqd20160214,PAIDOFF,1000,30,9/12/2016,10/11/2016,10/11/2016 13:01,,27,High School or Below,male 216 | xqd20160215,PAIDOFF,1000,30,9/12/2016,10/11/2016,9/16/2016 2:34,,35,High School or Below,male 217 | xqd20160216,PAIDOFF,1000,30,9/12/2016,11/10/2016,11/10/2016 16:00,,29,college,female 218 | xqd20160217,PAIDOFF,1000,15,9/12/2016,9/26/2016,9/21/2016 8:11,,50,High School or Below,male 219 | xqd20160218,PAIDOFF,800,15,9/12/2016,9/26/2016,9/26/2016 9:00,,31,High School or Below,female 220 | xqd20160219,PAIDOFF,1000,15,9/12/2016,9/26/2016,9/26/2016 13:00,,31,High School or Below,male 221 | xqd20160220,PAIDOFF,1000,30,9/12/2016,10/11/2016,10/11/2016 13:01,,29,High School or Below,male 222 | xqd20160221,PAIDOFF,1000,15,9/12/2016,9/26/2016,9/26/2016 23:00,,35,college,male 223 | xqd20160222,PAIDOFF,1000,30,9/12/2016,10/11/2016,10/11/2016 9:01,,39,college,male 224 | xqd20160223,PAIDOFF,1000,30,9/12/2016,11/10/2016,11/10/2016 13:00,,29,college,male 225 | xqd20160224,PAIDOFF,1000,15,9/12/2016,9/26/2016,9/26/2016 23:00,,30,High School or Below,male 226 | xqd20160225,PAIDOFF,1000,30,9/12/2016,10/11/2016,10/9/2016 10:00,,33,Bechalor,male 227 | xqd20160226,PAIDOFF,1000,30,9/12/2016,10/11/2016,10/11/2016 13:01,,26,High School or Below,male 228 | xqd20160227,PAIDOFF,1000,15,9/12/2016,9/26/2016,9/23/2016 14:01,,25,High School or Below,male 229 | xqd20160228,PAIDOFF,800,15,9/12/2016,9/26/2016,9/25/2016 13:29,,37,Bechalor,male 230 | xqd20160229,PAIDOFF,800,15,9/12/2016,9/26/2016,9/25/2016 14:50,,26,High School or Below,male 231 | xqd20160230,PAIDOFF,800,15,9/12/2016,9/26/2016,9/26/2016 9:00,,26,college,male 232 | xqd20160231,PAIDOFF,1000,15,9/12/2016,10/26/2016,10/26/2016 9:00,,27,college,male 233 | xqd20160232,PAIDOFF,1000,7,9/12/2016,9/25/2016,9/25/2016 9:01,,34,college,female 234 | xqd20160233,PAIDOFF,1000,30,9/12/2016,10/11/2016,10/8/2016 15:35,,37,college,male 235 | xqd20160234,PAIDOFF,1000,30,9/12/2016,10/11/2016,10/11/2016 16:01,,36,High School or Below,male 236 | xqd20160235,PAIDOFF,800,15,9/12/2016,9/26/2016,9/26/2016 19:35,,33,High School or Below,male 237 | xqd20160236,PAIDOFF,1000,30,9/12/2016,10/11/2016,10/9/2016 21:28,,30,High School or Below,male 238 | xqd20160237,PAIDOFF,1000,30,9/12/2016,10/11/2016,10/7/2016 16:45,,30,college,male 239 | xqd20160238,PAIDOFF,800,15,9/12/2016,9/26/2016,9/24/2016 12:13,,36,High School or Below,male 240 | xqd20160239,PAIDOFF,1000,15,9/12/2016,10/11/2016,10/11/2016 9:01,,29,college,male 241 | xqd20160240,PAIDOFF,1000,15,9/12/2016,9/26/2016,9/14/2016 23:02,,36,High School or Below,male 242 | xqd20160241,PAIDOFF,1000,30,9/12/2016,10/11/2016,10/8/2016 11:03,,32,High School or Below,male 243 | xqd20160242,PAIDOFF,1000,15,9/12/2016,9/26/2016,9/26/2016 9:00,,29,High School or Below,female 244 | xqd20160243,PAIDOFF,800,15,9/12/2016,9/26/2016,9/26/2016 23:00,,36,Bechalor,male 245 | xqd20160244,PAIDOFF,800,15,9/12/2016,9/26/2016,9/25/2016 19:31,,30,High School or Below,female 246 | xqd20160245,PAIDOFF,1000,7,9/13/2016,9/19/2016,9/14/2016 19:48,,31,college,male 247 | xqd20160246,PAIDOFF,1000,30,9/13/2016,10/12/2016,10/12/2016 23:00,,19,High School or Below,female 248 | xqd20160247,PAIDOFF,800,15,9/13/2016,9/27/2016,9/25/2016 12:48,,26,college,male 249 | xqd20160248,PAIDOFF,800,15,9/13/2016,9/27/2016,9/26/2016 21:18,,34,High School or Below,male 250 | xqd20160249,PAIDOFF,1000,30,9/13/2016,10/12/2016,10/7/2016 10:22,,35,High School or Below,male 251 | xqd20160250,PAIDOFF,1000,15,9/13/2016,9/27/2016,9/26/2016 6:17,,35,Bechalor,female 252 | xqd20160251,PAIDOFF,800,15,9/13/2016,9/27/2016,9/22/2016 16:57,,38,college,male 253 | xqd20160252,PAIDOFF,1000,30,9/13/2016,10/12/2016,10/9/2016 21:57,,29,college,male 254 | xqd20160253,PAIDOFF,1000,30,9/13/2016,10/12/2016,10/4/2016 12:59,,28,High School or Below,male 255 | xqd20160254,PAIDOFF,500,7,9/13/2016,9/19/2016,9/17/2016 20:51,,22,High School or Below,male 256 | xqd20160255,PAIDOFF,1000,30,9/13/2016,10/12/2016,10/12/2016 23:00,,32,college,male 257 | xqd20160256,PAIDOFF,1000,30,9/13/2016,10/12/2016,10/8/2016 15:51,,31,college,male 258 | xqd20160257,PAIDOFF,800,15,9/13/2016,9/27/2016,9/27/2016 9:00,,28,college,male 259 | xqd20160258,PAIDOFF,1000,15,9/13/2016,9/27/2016,9/27/2016 9:00,,37,college,female 260 | xqd20160259,PAIDOFF,1000,7,9/13/2016,9/19/2016,9/16/2016 15:57,,25,college,male 261 | xqd20160260,PAIDOFF,1000,30,9/13/2016,10/12/2016,10/12/2016 9:00,,19,High School or Below,male 262 | xqd20160261,PAIDOFF,800,15,9/13/2016,9/27/2016,9/26/2016 7:48,,51,college,male 263 | xqd20160262,PAIDOFF,1000,15,9/13/2016,9/27/2016,9/21/2016 16:53,,29,High School or Below,male 264 | xqd20160263,PAIDOFF,800,30,9/13/2016,10/12/2016,10/11/2016 0:29,,23,college,female 265 | xqd20160264,PAIDOFF,1000,15,9/13/2016,9/27/2016,9/25/2016 10:37,,30,High School or Below,male 266 | xqd20160265,PAIDOFF,800,15,9/13/2016,9/27/2016,9/27/2016 13:00,,23,college,male 267 | xqd20160266,PAIDOFF,1000,15,9/13/2016,9/27/2016,9/26/2016 15:10,,34,Bechalor,female 268 | xqd20160267,PAIDOFF,800,15,9/13/2016,9/27/2016,9/24/2016 12:46,,31,Bechalor,female 269 | xqd20160268,PAIDOFF,1000,15,9/14/2016,9/28/2016,9/28/2016 9:00,,24,High School or Below,male 270 | xqd20160269,PAIDOFF,1000,30,9/14/2016,10/13/2016,10/13/2016 9:00,,42,High School or Below,male 271 | xqd20160270,PAIDOFF,800,30,9/14/2016,10/13/2016,10/6/2016 12:09,,40,college,female 272 | xqd20160271,PAIDOFF,1000,30,9/14/2016,10/13/2016,10/14/2016 11:03,,29,High School or Below,male 273 | xqd20160272,PAIDOFF,1000,30,9/14/2016,10/13/2016,10/8/2016 17:12,,32,college,female 274 | xqd20160273,PAIDOFF,1000,30,9/14/2016,11/12/2016,11/12/2016 9:00,,28,college,male 275 | xqd20160274,PAIDOFF,1000,30,9/14/2016,10/13/2016,10/13/2016 9:00,,35,High School or Below,male 276 | xqd20160275,PAIDOFF,1000,30,9/14/2016,10/13/2016,10/13/2016 13:00,,30,Bechalor,male 277 | xqd20160276,PAIDOFF,800,15,9/14/2016,9/28/2016,9/27/2016 15:52,,44,college,male 278 | xqd20160277,PAIDOFF,800,15,9/14/2016,9/28/2016,9/28/2016 13:00,,37,High School or Below,male 279 | xqd20160278,PAIDOFF,1000,30,9/14/2016,10/13/2016,10/13/2016 9:00,,31,college,male 280 | xqd20160279,PAIDOFF,800,15,9/14/2016,9/28/2016,9/15/2016 0:43,,36,college,male 281 | xqd20160280,PAIDOFF,800,30,9/14/2016,10/13/2016,10/10/2016 10:25,,31,college,male 282 | xqd20160281,PAIDOFF,800,15,9/14/2016,9/28/2016,9/27/2016 20:41,,42,High School or Below,male 283 | xqd20160282,PAIDOFF,1000,15,9/14/2016,9/28/2016,9/28/2016 9:00,,28,Bechalor,male 284 | xqd20160283,PAIDOFF,1000,30,9/14/2016,10/13/2016,10/6/2016 6:51,,30,college,male 285 | xqd20160284,PAIDOFF,1000,30,9/14/2016,10/13/2016,10/12/2016 6:25,,30,High School or Below,male 286 | xqd20160285,PAIDOFF,1000,15,9/14/2016,9/28/2016,9/27/2016 22:50,,24,Bechalor,male 287 | xqd20160286,PAIDOFF,1000,30,9/14/2016,11/12/2016,11/12/2016 9:00,,34,Bechalor,male 288 | xqd20160287,PAIDOFF,1000,30,9/14/2016,10/13/2016,10/12/2016 12:30,,29,college,male 289 | xqd20160288,PAIDOFF,1000,30,9/14/2016,10/13/2016,10/12/2016 3:49,,38,High School or Below,female 290 | xqd20160289,PAIDOFF,1000,30,9/14/2016,10/13/2016,10/13/2016 13:00,,34,Bechalor,male 291 | xqd20160290,PAIDOFF,800,15,9/14/2016,9/28/2016,9/27/2016 7:48,,28,High School or Below,male 292 | xqd20160291,PAIDOFF,1000,15,9/14/2016,9/28/2016,9/22/2016 9:28,,30,college,female 293 | xqd20160292,PAIDOFF,1000,30,9/14/2016,10/13/2016,10/11/2016 16:33,,41,High School or Below,male 294 | xqd20160293,PAIDOFF,1000,30,9/14/2016,10/13/2016,9/18/2016 16:56,,29,college,male 295 | xqd20160294,PAIDOFF,1000,30,9/14/2016,10/13/2016,10/13/2016 9:00,,37,High School or Below,male 296 | xqd20160295,PAIDOFF,1000,30,9/14/2016,10/13/2016,10/13/2016 13:00,,36,Bechalor,male 297 | xqd20160296,PAIDOFF,1000,30,9/14/2016,10/13/2016,10/13/2016 13:00,,30,college,female 298 | xqd20160297,PAIDOFF,800,15,9/14/2016,9/28/2016,9/21/2016 4:42,,27,college,male 299 | xqd20160298,PAIDOFF,1000,30,9/14/2016,10/13/2016,10/13/2016 9:00,,29,High School or Below,male 300 | xqd20160299,PAIDOFF,1000,30,9/14/2016,10/13/2016,10/13/2016 9:00,,40,High School or Below,male 301 | xqd20160300,PAIDOFF,1000,30,9/14/2016,10/13/2016,10/13/2016 11:00,,28,college,male 302 | xqd20160301,COLLECTION,1000,15,9/9/2016,9/23/2016,,76,29,college,male 303 | xqd20160302,COLLECTION,1000,30,9/9/2016,10/8/2016,,61,37,High School or Below,male 304 | xqd20160303,COLLECTION,1000,30,9/9/2016,10/8/2016,,61,33,High School or Below,male 305 | xqd20160304,COLLECTION,800,15,9/9/2016,9/23/2016,,76,27,college,male 306 | xqd20160305,COLLECTION,800,15,9/9/2016,9/23/2016,,76,24,Bechalor,male 307 | xqd20160306,COLLECTION,1000,15,9/10/2016,9/24/2016,,75,31,High School or Below,female 308 | xqd20160307,COLLECTION,800,15,9/10/2016,10/9/2016,,60,28,college,male 309 | xqd20160308,COLLECTION,1000,30,9/10/2016,10/9/2016,,60,40,High School or Below,male 310 | xqd20160309,COLLECTION,1000,30,9/10/2016,10/9/2016,,60,33,college,male 311 | xqd20160310,COLLECTION,800,15,9/10/2016,9/24/2016,,75,41,college,male 312 | xqd20160311,COLLECTION,1000,30,9/10/2016,10/9/2016,,60,30,college,male 313 | xqd20160312,COLLECTION,800,15,9/10/2016,9/24/2016,,75,26,High School or Below,female 314 | xqd20160313,COLLECTION,1000,30,9/10/2016,10/9/2016,,60,27,High School or Below,male 315 | xqd20160314,COLLECTION,1000,30,9/10/2016,10/9/2016,,60,20,High School or Below,male 316 | xqd20160315,COLLECTION,1000,30,9/10/2016,10/9/2016,,60,24,college,male 317 | xqd20160316,COLLECTION,1000,15,9/10/2016,10/9/2016,,60,26,High School or Below,male 318 | xqd20160317,COLLECTION,1000,30,9/10/2016,10/9/2016,,60,30,High School or Below,male 319 | xqd20160318,COLLECTION,1000,15,9/10/2016,9/24/2016,,75,29,High School or Below,male 320 | xqd20160319,COLLECTION,1000,30,9/10/2016,10/9/2016,,60,22,Bechalor,male 321 | xqd20160320,COLLECTION,1000,15,9/10/2016,9/24/2016,,75,24,Bechalor,male 322 | xqd20160321,COLLECTION,1000,30,9/10/2016,10/9/2016,,60,25,college,male 323 | xqd20160322,COLLECTION,1000,30,9/10/2016,10/9/2016,,60,28,High School or Below,male 324 | xqd20160323,COLLECTION,1000,30,9/10/2016,10/9/2016,,60,37,college,male 325 | xqd20160324,COLLECTION,800,15,9/10/2016,9/24/2016,,75,32,college,male 326 | xqd20160325,COLLECTION,1000,15,9/10/2016,9/24/2016,,75,34,college,male 327 | xqd20160326,COLLECTION,1000,30,9/11/2016,10/10/2016,,59,28,Bechalor,male 328 | xqd20160327,COLLECTION,800,15,9/11/2016,9/25/2016,,74,35,Bechalor,male 329 | xqd20160328,COLLECTION,1000,30,9/11/2016,11/9/2016,,29,27,college,male 330 | xqd20160329,COLLECTION,1000,30,9/11/2016,10/10/2016,,59,24,High School or Below,female 331 | xqd20160330,COLLECTION,1000,30,9/11/2016,10/10/2016,,59,44,Bechalor,male 332 | xqd20160331,COLLECTION,1000,15,9/11/2016,10/25/2016,,44,31,college,male 333 | xqd20160332,COLLECTION,800,15,9/11/2016,9/25/2016,,74,27,college,male 334 | xqd20160333,COLLECTION,1000,30,9/11/2016,10/10/2016,,59,21,High School or Below,male 335 | xqd20160334,COLLECTION,1000,30,9/11/2016,10/10/2016,,59,30,High School or Below,female 336 | xqd20160335,COLLECTION,1000,30,9/11/2016,10/10/2016,,59,38,college,female 337 | xqd20160336,COLLECTION,1000,30,9/11/2016,10/10/2016,,59,34,High School or Below,male 338 | xqd20160337,COLLECTION,1000,30,9/11/2016,10/10/2016,,59,31,college,male 339 | xqd20160338,COLLECTION,1000,30,9/11/2016,10/10/2016,,59,23,High School or Below,male 340 | xqd20160339,COLLECTION,1000,15,9/11/2016,9/25/2016,,74,27,college,female 341 | xqd20160340,COLLECTION,1000,15,9/11/2016,9/25/2016,,74,39,High School or Below,male 342 | xqd20160341,COLLECTION,1000,30,9/11/2016,10/10/2016,,59,30,High School or Below,female 343 | xqd20160342,COLLECTION,1000,30,9/11/2016,10/10/2016,,59,25,college,male 344 | xqd20160343,COLLECTION,1000,15,9/11/2016,9/25/2016,,74,50,Master or Above,male 345 | xqd20160344,COLLECTION,1000,30,9/11/2016,10/10/2016,,59,23,High School or Below,male 346 | xqd20160345,COLLECTION,800,15,9/11/2016,9/25/2016,,74,38,Bechalor,male 347 | xqd20160346,COLLECTION,1000,30,9/11/2016,10/10/2016,,59,27,High School or Below,male 348 | xqd20160347,COLLECTION,1000,30,9/11/2016,11/9/2016,,29,31,High School or Below,male 349 | xqd20160348,COLLECTION,800,15,9/11/2016,9/25/2016,,74,40,college,male 350 | xqd20160349,COLLECTION,1000,30,9/11/2016,10/10/2016,,59,32,High School or Below,male 351 | xqd20160350,COLLECTION,800,15,9/11/2016,9/25/2016,,74,29,college,male 352 | xqd20160351,COLLECTION,1000,30,9/11/2016,10/10/2016,,59,26,High School or Below,male 353 | xqd20160352,COLLECTION,1000,15,9/11/2016,9/25/2016,,74,25,college,male 354 | xqd20160353,COLLECTION,1000,30,9/11/2016,10/10/2016,,59,35,High School or Below,male 355 | xqd20160354,COLLECTION,1000,30,9/11/2016,10/10/2016,,59,41,High School or Below,male 356 | xqd20160355,COLLECTION,1000,30,9/11/2016,10/10/2016,,59,37,High School or Below,male 357 | xqd20160356,COLLECTION,1000,15,9/11/2016,10/10/2016,,59,34,college,male 358 | xqd20160357,COLLECTION,1000,30,9/11/2016,10/10/2016,,59,45,High School or Below,male 359 | xqd20160358,COLLECTION,1000,30,9/11/2016,10/10/2016,,59,26,Bechalor,male 360 | xqd20160359,COLLECTION,1000,30,9/11/2016,10/10/2016,,59,32,college,male 361 | xqd20160360,COLLECTION,1000,30,9/11/2016,10/10/2016,,59,28,High School or Below,male 362 | xqd20160361,COLLECTION,1000,30,9/11/2016,10/10/2016,,59,34,college,male 363 | xqd20160362,COLLECTION,800,15,9/11/2016,9/25/2016,,74,29,High School or Below,male 364 | xqd20160363,COLLECTION,1000,30,9/11/2016,10/10/2016,,59,26,High School or Below,male 365 | xqd20160364,COLLECTION,1000,15,9/11/2016,9/25/2016,,74,26,college,male 366 | xqd20160365,COLLECTION,800,15,9/11/2016,9/25/2016,,74,22,college,male 367 | xqd20160366,COLLECTION,1000,30,9/11/2016,10/10/2016,,59,27,High School or Below,female 368 | xqd20160367,COLLECTION,800,30,9/11/2016,10/10/2016,,59,33,High School or Below,male 369 | xqd20160368,COLLECTION,800,15,9/11/2016,9/25/2016,,74,28,Bechalor,male 370 | xqd20160369,COLLECTION,1000,30,9/11/2016,10/10/2016,,59,24,college,male 371 | xqd20160370,COLLECTION,1000,30,9/11/2016,10/10/2016,,59,37,High School or Below,male 372 | xqd20160371,COLLECTION,800,15,9/11/2016,9/25/2016,,74,36,High School or Below,male 373 | xqd20160372,COLLECTION,1000,30,9/11/2016,10/10/2016,,59,18,college,male 374 | xqd20160373,COLLECTION,800,15,9/11/2016,9/25/2016,,74,25,High School or Below,male 375 | xqd20160374,COLLECTION,1000,15,9/11/2016,9/25/2016,,74,40,High School or Below,male 376 | xqd20182575,COLLECTION,1000,30,9/11/2016,10/10/2016,,59,29,college,male 377 | xqd20160376,COLLECTION,800,15,9/11/2016,9/25/2016,,74,26,High School or Below,female 378 | xqd20151038,COLLECTION,1000,15,9/11/2016,9/25/2016,,74,30,college,male 379 | xqd20160378,COLLECTION,1000,30,9/11/2016,10/10/2016,,59,33,college,male 380 | xqd20197340,COLLECTION,1000,30,9/11/2016,10/10/2016,,59,30,college,male 381 | xqd20160380,COLLECTION,1000,30,9/11/2016,10/10/2016,,59,32,college,male 382 | xqd20160381,COLLECTION,1000,30,9/11/2016,10/10/2016,,59,25,High School or Below,male 383 | xqd20160382,COLLECTION,800,15,9/11/2016,9/25/2016,,74,35,High School or Below,male 384 | xqd20175721,COLLECTION,1000,15,9/11/2016,9/25/2016,,74,30,Bechalor,male 385 | xqd20160384,COLLECTION,1000,30,9/11/2016,10/10/2016,,59,26,High School or Below,male 386 | xqd20160385,COLLECTION,1000,30,9/11/2016,10/10/2016,,59,29,High School or Below,male 387 | xqd20160386,COLLECTION,1000,30,9/11/2016,11/9/2016,,29,26,High School or Below,male 388 | xqd20160387,COLLECTION,800,15,9/11/2016,9/25/2016,,74,46,High School or Below,male 389 | xqd20160388,COLLECTION,1000,30,9/11/2016,10/10/2016,,59,36,High School or Below,male 390 | xqd20160389,COLLECTION,1000,15,9/11/2016,9/25/2016,,74,38,Bechalor,male 391 | xqd20160390,COLLECTION,1000,15,9/11/2016,10/25/2016,,44,32,High School or Below,male 392 | xqd20160391,COLLECTION,1000,15,9/11/2016,9/25/2016,,74,30,college,male 393 | xqd20125284,COLLECTION,800,15,9/11/2016,9/25/2016,,74,35,High School or Below,male 394 | xqd20160393,COLLECTION,1000,30,9/11/2016,10/10/2016,,59,29,college,female 395 | xqd20160394,COLLECTION,1000,30,9/11/2016,11/9/2016,,29,26,college,male 396 | xqd20160395,COLLECTION,800,15,9/11/2016,9/25/2016,,74,32,High School or Below,male 397 | xqd20160396,COLLECTION,1000,30,9/11/2016,10/10/2016,,59,25,High School or Below,male 398 | xqd20160397,COLLECTION,1000,30,9/12/2016,10/11/2016,,58,33,High School or Below,male 399 | xqd20160398,COLLECTION,800,15,9/12/2016,9/26/2016,,73,39,college,male 400 | xqd20160399,COLLECTION,1000,30,9/12/2016,11/10/2016,,28,28,college,male 401 | xqd20160400,COLLECTION,1000,30,9/12/2016,10/11/2016,,58,26,college,male 402 | xqd20160401,COLLECTION_PAIDOFF,1000,30,9/9/2016,10/8/2016,10/10/2016 11:45,2,26,college,male 403 | xqd20160402,COLLECTION_PAIDOFF,1000,15,9/9/2016,9/23/2016,9/27/2016 17:00,4,28,college,male 404 | xqd20320403,COLLECTION_PAIDOFF,1000,30,9/9/2016,11/7/2016,11/20/2016 14:10,13,39,college,male 405 | xqd20160404,COLLECTION_PAIDOFF,1000,15,9/9/2016,9/23/2016,9/28/2016 15:38,5,29,Bechalor,male 406 | xqd20190405,COLLECTION_PAIDOFF,800,15,9/9/2016,9/23/2016,9/26/2016 17:22,3,33,High School or Below,male 407 | xqd20160406,COLLECTION_PAIDOFF,1000,30,9/10/2016,10/9/2016,10/21/2016 14:00,12,27,college,male 408 | xqd20160407,COLLECTION_PAIDOFF,800,15,9/10/2016,9/24/2016,9/26/2016 11:03,2,34,college,male 409 | xqd20160408,COLLECTION_PAIDOFF,1000,30,9/10/2016,10/9/2016,11/5/2016 15:39,27,26,High School or Below,male 410 | xqd20110409,COLLECTION_PAIDOFF,1000,30,9/10/2016,10/9/2016,11/22/2016 15:53,44,28,High School or Below,male 411 | xqd20160410,COLLECTION_PAIDOFF,1000,15,9/10/2016,9/24/2016,9/29/2016 10:30,5,32,Bechalor,male 412 | xqd20160411,COLLECTION_PAIDOFF,800,15,9/10/2016,10/9/2016,10/10/2016 15:18,1,27,college,female 413 | xqd20160412,COLLECTION_PAIDOFF,1000,30,9/10/2016,10/9/2016,11/5/2016 10:49,27,21,college,male 414 | xqd20160413,COLLECTION_PAIDOFF,800,15,9/11/2016,9/25/2016,9/27/2016 17:10,2,39,college,male 415 | xqd20169083,COLLECTION_PAIDOFF,1000,15,9/11/2016,9/25/2016,9/26/2016 11:35,1,38,college,male 416 | xqd20160415,COLLECTION_PAIDOFF,1000,30,9/11/2016,10/10/2016,10/12/2016 9:59,2,36,High School or Below,female 417 | xqd20160416,COLLECTION_PAIDOFF,800,15,9/11/2016,9/25/2016,9/27/2016 17:14,2,33,college,male 418 | xqd20160417,COLLECTION_PAIDOFF,1000,30,9/11/2016,10/10/2016,10/11/2016 12:45,1,21,college,female 419 | xqd20160418,COLLECTION_PAIDOFF,800,15,9/11/2016,9/25/2016,9/28/2016 11:38,3,25,High School or Below,male 420 | xqd20160419,COLLECTION_PAIDOFF,800,15,9/11/2016,9/25/2016,10/7/2016 13:21,12,29,college,male 421 | xqd20160420,COLLECTION_PAIDOFF,1000,30,9/11/2016,10/10/2016,11/4/2016 15:37,25,33,High School or Below,male 422 | xqd20160421,COLLECTION_PAIDOFF,1000,15,9/11/2016,9/25/2016,9/28/2016 17:39,3,47,High School or Below,female 423 | xqd20160422,COLLECTION_PAIDOFF,1000,30,9/11/2016,10/10/2016,10/12/2016 9:52,2,33,college,male 424 | xqd20160423,COLLECTION_PAIDOFF,800,15,9/11/2016,9/25/2016,9/29/2016 15:12,4,23,High School or Below,male 425 | xqd20160424,COLLECTION_PAIDOFF,1000,15,9/11/2016,10/10/2016,10/12/2016 11:17,2,24,college,male 426 | xqd20880425,COLLECTION_PAIDOFF,1000,30,9/11/2016,11/9/2016,11/10/2016 22:58,1,27,High School or Below,male 427 | xqd20160426,COLLECTION_PAIDOFF,1000,30,9/11/2016,10/10/2016,11/3/2016 15:23,24,32,Bechalor,male 428 | xqd20160427,COLLECTION_PAIDOFF,1000,30,9/11/2016,10/10/2016,10/11/2016 16:44,1,33,college,male 429 | xqd20160428,COLLECTION_PAIDOFF,1000,30,9/11/2016,10/10/2016,10/11/2016 11:02,2,27,college,female 430 | xqd20160429,COLLECTION_PAIDOFF,1000,30,9/11/2016,10/10/2016,10/12/2016 13:17,2,35,High School or Below,male 431 | xqd20160430,COLLECTION_PAIDOFF,500,15,9/11/2016,10/10/2016,10/11/2016 17:22,1,37,Bechalor,male 432 | xqd20160431,COLLECTION_PAIDOFF,800,15,9/11/2016,9/25/2016,9/28/2016 14:02,3,28,Bechalor,male 433 | xqd20160432,COLLECTION_PAIDOFF,1000,15,9/11/2016,9/25/2016,9/29/2016 13:42,4,33,college,male 434 | xqd20160433,COLLECTION_PAIDOFF,800,7,9/11/2016,9/17/2016,9/19/2016 15:00,2,34,Bechalor,female 435 | xqd20160434,COLLECTION_PAIDOFF,1000,30,9/11/2016,10/10/2016,10/12/2016 14:32,2,29,college,male 436 | xqd20160435,COLLECTION_PAIDOFF,1000,30,9/11/2016,10/10/2016,10/11/2016 11:33,1,34,Bechalor,male 437 | xqd20160436,COLLECTION_PAIDOFF,1000,30,9/11/2016,10/10/2016,10/11/2016 16:27,1,29,Bechalor,male 438 | xqd20790437,COLLECTION_PAIDOFF,1000,30,9/11/2016,10/10/2016,11/15/2016 15:27,36,24,High School or Below,male 439 | xqd20160438,COLLECTION_PAIDOFF,1000,30,9/11/2016,10/10/2016,10/11/2016 16:13,1,34,High School or Below,male 440 | xqd20160439,COLLECTION_PAIDOFF,1000,30,9/11/2016,10/10/2016,10/17/2016 10:06,7,25,college,female 441 | xqd20160440,COLLECTION_PAIDOFF,1000,30,9/11/2016,11/9/2016,11/14/2016 13:15,5,24,college,male 442 | xqd20160441,COLLECTION_PAIDOFF,1000,30,9/11/2016,10/10/2016,10/24/2016 16:20,14,30,college,male 443 | xqd20160442,COLLECTION_PAIDOFF,1000,15,9/11/2016,9/25/2016,9/27/2016 16:35,2,28,college,male 444 | xqd20160443,COLLECTION_PAIDOFF,1000,30,9/11/2016,10/10/2016,10/11/2016 11:48,1,24,High School or Below,male 445 | xqd20160444,COLLECTION_PAIDOFF,1000,30,9/11/2016,10/10/2016,11/7/2016 19:21,28,26,college,female 446 | xqd20160445,COLLECTION_PAIDOFF,1000,30,9/11/2016,10/10/2016,10/12/2016 16:22,2,24,High School or Below,male 447 | xqd20160446,COLLECTION_PAIDOFF,1000,15,9/11/2016,9/25/2016,9/27/2016 17:24,2,29,college,male 448 | xqd20420447,COLLECTION_PAIDOFF,1000,30,9/11/2016,10/10/2016,11/4/2016 11:07,25,31,college,male 449 | xqd20160448,COLLECTION_PAIDOFF,1000,30,9/11/2016,10/10/2016,11/2/2016 9:39,23,26,college,male 450 | xqd20160449,COLLECTION_PAIDOFF,1000,30,9/11/2016,10/10/2016,10/13/2016 18:18,3,25,High School or Below,male 451 | xqd20160450,COLLECTION_PAIDOFF,1000,30,9/11/2016,10/10/2016,10/11/2016 11:29,1,29,college,male 452 | xqd20160451,COLLECTION_PAIDOFF,1000,30,9/11/2016,10/10/2016,10/13/2016 16:27,3,38,college,male 453 | xqd20160452,COLLECTION_PAIDOFF,800,15,9/11/2016,9/25/2016,9/29/2016 11:19,4,41,college,male 454 | xqd20390453,COLLECTION_PAIDOFF,1000,15,9/11/2016,9/25/2016,9/28/2016 11:17,3,26,High School or Below,male 455 | xqd20160454,COLLECTION_PAIDOFF,1000,30,9/12/2016,10/11/2016,10/14/2016 11:04,3,26,High School or Below,male 456 | xqd20160455,COLLECTION_PAIDOFF,1000,30,9/12/2016,10/11/2016,10/17/2016 17:40,6,35,High School or Below,male 457 | xqd20160456,COLLECTION_PAIDOFF,1000,15,9/12/2016,9/26/2016,9/28/2016 9:42,2,37,college,male 458 | xqd20160457,COLLECTION_PAIDOFF,1000,30,9/12/2016,10/11/2016,11/18/2016 15:52,38,25,college,male 459 | xqd20160458,COLLECTION_PAIDOFF,1000,30,9/12/2016,10/11/2016,10/30/2016 14:19,19,24,college,male 460 | xqd20160459,COLLECTION_PAIDOFF,1000,30,9/12/2016,10/11/2016,10/13/2016 15:10,2,34,college,male 461 | xqd20160460,COLLECTION_PAIDOFF,800,15,9/12/2016,9/26/2016,9/28/2016 13:36,2,33,college,male 462 | xqd20490461,COLLECTION_PAIDOFF,800,15,9/12/2016,9/26/2016,9/28/2016 15:34,2,38,Bechalor,male 463 | xqd20160462,COLLECTION_PAIDOFF,1000,30,9/12/2016,11/10/2016,11/17/2016 11:55,7,38,High School or Below,male 464 | xqd20160463,COLLECTION_PAIDOFF,1000,30,9/12/2016,11/10/2016,11/15/2016 18:51,5,26,college,male 465 | xqd20870464,COLLECTION_PAIDOFF,1000,15,9/12/2016,9/26/2016,9/30/2016 10:23,4,37,Bechalor,male 466 | xqd20160465,COLLECTION_PAIDOFF,1000,30,9/12/2016,11/10/2016,11/11/2016 17:17,1,42,High School or Below,female 467 | xqd20169466,COLLECTION_PAIDOFF,1000,30,9/12/2016,10/11/2016,10/12/2016 12:54,1,49,High School or Below,female 468 | xqd20160467,COLLECTION_PAIDOFF,1000,30,9/12/2016,10/11/2016,10/15/2016 9:48,4,26,High School or Below,male 469 | xqd20160468,COLLECTION_PAIDOFF,1000,15,9/12/2016,10/26/2016,10/27/2016 11:14,1,41,High School or Below,male 470 | xqd20160469,COLLECTION_PAIDOFF,1000,30,9/12/2016,10/11/2016,10/15/2016 14:14,4,38,High School or Below,male 471 | xqd25660470,COLLECTION_PAIDOFF,1000,30,9/12/2016,10/11/2016,12/2/2016 9:45,52,26,High School or Below,male 472 | xqd20160471,COLLECTION_PAIDOFF,1000,15,9/12/2016,9/26/2016,9/28/2016 15:02,2,32,High School or Below,male 473 | xqd20160472,COLLECTION_PAIDOFF,1000,30,9/12/2016,10/11/2016,11/4/2016 14:46,24,27,Bechalor,male 474 | xqd20160473,COLLECTION_PAIDOFF,800,15,9/12/2016,9/26/2016,11/16/2016 12:12,51,33,college,male 475 | xqd20160474,COLLECTION_PAIDOFF,1000,30,9/12/2016,10/11/2016,10/14/2016 19:02,3,30,High School or Below,male 476 | xqd20160475,COLLECTION_PAIDOFF,800,15,9/12/2016,9/26/2016,9/28/2016 11:34,2,26,High School or Below,female 477 | xqd20160476,COLLECTION_PAIDOFF,1000,30,9/12/2016,10/11/2016,11/9/2016 18:12,29,35,college,female 478 | xqd20160477,COLLECTION_PAIDOFF,800,15,9/12/2016,10/26/2016,10/31/2016 13:07,5,46,college,female 479 | xqd20160478,COLLECTION_PAIDOFF,1000,30,9/12/2016,10/11/2016,10/20/2016 17:38,9,27,college,male 480 | xqd20160479,COLLECTION_PAIDOFF,1000,15,9/12/2016,10/11/2016,11/7/2016 8:55,27,22,High School or Below,male 481 | xqd20160480,COLLECTION_PAIDOFF,1000,30,9/12/2016,10/11/2016,10/12/2016 18:26,1,27,Bechalor,male 482 | xqd20160481,COLLECTION_PAIDOFF,1000,15,9/12/2016,9/26/2016,10/25/2016 13:44,29,30,Bechalor,male 483 | xqd20160482,COLLECTION_PAIDOFF,1000,15,9/12/2016,9/26/2016,9/29/2016 15:07,3,27,High School or Below,male 484 | xqd20160483,COLLECTION_PAIDOFF,800,15,9/12/2016,9/26/2016,9/27/2016 11:40,1,47,college,male 485 | xqd20160484,COLLECTION_PAIDOFF,1000,30,9/12/2016,10/11/2016,10/18/2016 19:08,7,30,college,male 486 | xqd20160485,COLLECTION_PAIDOFF,1000,30,9/12/2016,10/11/2016,10/15/2016 9:23,4,26,college,male 487 | xqd20160486,COLLECTION_PAIDOFF,1000,30,9/12/2016,10/11/2016,10/14/2016 10:07,3,38,High School or Below,male 488 | xqd20160487,COLLECTION_PAIDOFF,800,15,9/12/2016,9/26/2016,11/21/2016 11:36,56,46,High School or Below,male 489 | xqd20160488,COLLECTION_PAIDOFF,1000,30,9/12/2016,10/11/2016,10/13/2016 12:02,2,35,Bechalor,male 490 | xqd20160489,COLLECTION_PAIDOFF,1000,15,9/12/2016,9/26/2016,10/9/2016 19:30,13,45,college,male 491 | xqd20160490,COLLECTION_PAIDOFF,1000,30,9/12/2016,10/11/2016,10/12/2016 18:04,1,36,college,male 492 | xqd20160491,COLLECTION_PAIDOFF,1000,30,9/12/2016,10/11/2016,10/17/2016 10:53,6,38,High School or Below,male 493 | xqd20160492,COLLECTION_PAIDOFF,1000,30,9/12/2016,10/11/2016,11/9/2016 13:41,29,27,college,male 494 | xqd20160493,COLLECTION_PAIDOFF,1000,30,9/12/2016,10/11/2016,10/25/2016 17:44,14,27,Bechalor,male 495 | xqd20160494,COLLECTION_PAIDOFF,1000,15,9/12/2016,9/26/2016,9/29/2016 12:45,3,29,college,male 496 | xqd20160495,COLLECTION_PAIDOFF,1000,30,9/12/2016,10/11/2016,10/13/2016 14:45,2,30,High School or Below,male 497 | xqd20160496,COLLECTION_PAIDOFF,1000,30,9/12/2016,10/11/2016,10/14/2016 19:08,3,28,High School or Below,male 498 | xqd20160497,COLLECTION_PAIDOFF,1000,15,9/12/2016,9/26/2016,10/10/2016 20:02,14,26,High School or Below,male 499 | xqd20160498,COLLECTION_PAIDOFF,800,15,9/12/2016,9/26/2016,9/29/2016 11:49,3,30,college,male 500 | xqd20160499,COLLECTION_PAIDOFF,1000,30,9/12/2016,11/10/2016,11/11/2016 22:40,1,38,college,female 501 | xqd20160500,COLLECTION_PAIDOFF,1000,30,9/12/2016,10/11/2016,10/19/2016 11:58,8,28,High School or Below,male 502 | --------------------------------------------------------------------------------