├── YearlyOriginal.png ├── MonthlyPredicted.png ├── YearlyPredicted.png ├── global_test.csv ├── climate_pipeline.py ├── tpot-climate.py ├── clean_data.py ├── predict_current.py ├── output.txt ├── climate_results.csv ├── README.md └── cleaned_globaldata.csv /YearlyOriginal.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/nhrigby/genetic_algorithm_challenge/HEAD/YearlyOriginal.png -------------------------------------------------------------------------------- /MonthlyPredicted.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/nhrigby/genetic_algorithm_challenge/HEAD/MonthlyPredicted.png -------------------------------------------------------------------------------- /YearlyPredicted.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/nhrigby/genetic_algorithm_challenge/HEAD/YearlyPredicted.png -------------------------------------------------------------------------------- /global_test.csv: -------------------------------------------------------------------------------- 1 | year,month,day 2 | 2016,1,1 3 | 2016,2,1 4 | 2016,3,1 5 | 2016,4,1 6 | 2016,5,1 7 | 2016,6,1 8 | 2016,7,1 9 | 2016,8,1 10 | 2016,9,1 11 | 2016,10,1 12 | 2016,11,1 13 | 2016,12,1 14 | 2017,1,1 15 | 2017,2,1 16 | 2017,3,1 17 | 2017,4,1 18 | 2017,5,1 19 | 2017,6,1 20 | 2017,7,1 21 | 2017,8,1 22 | 2017,9,1 23 | 2017,10,1 24 | 2017,11,1 25 | 2017,12,1 26 | 2018,1,1 27 | 2018,2,1 28 | 2018,3,1 29 | 2018,4,1 30 | 2018,5,1 31 | 2018,6,1 32 | 2018,7,1 33 | 2018,8,1 34 | 2018,9,1 35 | 2018,10,1 36 | 2018,11,1 37 | 2018,12,1 38 | 2019,1,1 39 | 2019,2,1 40 | 2019,3,1 41 | 2019,4,1 42 | 2019,5,1 43 | 2019,6,1 44 | 2019,7,1 45 | 2019,8,1 46 | 2019,9,1 47 | 2019,10,1 48 | 2019,11,1 49 | 2019,12,1 50 | 2020,1,1 51 | 2020,2,1 52 | 2020,3,1 53 | 2020,4,1 54 | 2020,5,1 55 | 2020,6,1 56 | 2020,7,1 57 | 2020,8,1 58 | 2020,9,1 59 | 2020,10,1 60 | 2020,11,1 61 | 2020,12,1 -------------------------------------------------------------------------------- /climate_pipeline.py: -------------------------------------------------------------------------------- 1 | import numpy as np 2 | 3 | from sklearn.cluster import FeatureAgglomeration 4 | from sklearn.ensemble import GradientBoostingRegressor, VotingClassifier 5 | from sklearn.model_selection import train_test_split 6 | from sklearn.pipeline import make_pipeline, make_union 7 | from sklearn.preprocessing import FunctionTransformer 8 | 9 | # NOTE: Make sure that the class is labeled 'class' in the data file 10 | tpot_data = np.recfromcsv('PATH/TO/DATA/FILE', delimiter='COLUMN_SEPARATOR', dtype=np.float64) 11 | features = np.delete(tpot_data.view(np.float64).reshape(tpot_data.size, -1), tpot_data.dtype.names.index('class'), axis=1) 12 | training_features, testing_features, training_classes, testing_classes = \ 13 | train_test_split(features, tpot_data['class'], random_state=42) 14 | 15 | exported_pipeline = make_pipeline( 16 | FeatureAgglomeration(affinity="cosine", linkage="average"), 17 | GradientBoostingRegressor(learning_rate=0.03, max_features=0.03, n_estimators=500) 18 | ) 19 | 20 | exported_pipeline.fit(training_features, training_classes) 21 | results = exported_pipeline.predict(testing_features) 22 | -------------------------------------------------------------------------------- /tpot-climate.py: -------------------------------------------------------------------------------- 1 | # import modules 2 | import pandas as pd 3 | import numpy as np 4 | from tpot import TPOTRegressor 5 | from sklearn.model_selection import train_test_split 6 | 7 | # open files 8 | test = np.genfromtxt('global_test.csv',delimiter=',',skip_header=1) 9 | train = np.genfromtxt('cleaned_globaldata.csv',delimiter=',',skip_header=1) 10 | 11 | # make copy of training set without class (target variable) 12 | train_new = np.delete(train,0,1) 13 | 14 | # get list of class variables (second column in training file) 15 | train_class = train[:,0] 16 | 17 | # split the data into training and testing sets 18 | x_train, x_test, y_train, y_test = train_test_split(train_new, train_class, train_size=0.75, test_size=0.25) 19 | 20 | # intiate tpot instance 21 | tpot = TPOTRegressor(verbosity=3, generations=10, population_size=50) 22 | 23 | # call the fit function 24 | tpot.fit(x_train, y_train) 25 | 26 | #call the score function on the cv data 27 | print('TPOT score: {}'.format(tpot.score(x_test,y_test))) 28 | 29 | # predict temps for each month for next 5 years 30 | submission = tpot.predict(test) 31 | 32 | # create dataframe of results for each month/year 33 | final = pd.DataFrame({'year':test[:,0],'month':test[:,1],'landavgtemp':submission}) 34 | 35 | # export pipeline 36 | export_filename = 'climate_pipeline.py' 37 | tpot.export(export_filename) 38 | 39 | # export predicted values 40 | final_filename = 'climate_results.csv' 41 | final.to_csv(final_filename, index=False) 42 | 43 | # exit program 44 | exit() 45 | 46 | -------------------------------------------------------------------------------- /clean_data.py: -------------------------------------------------------------------------------- 1 | # import modules 2 | import pandas as pd 3 | import numpy as np 4 | 5 | # load main dataset 6 | globaldata = pd.read_csv('GlobalTemperatures.csv') 7 | 8 | # convert date to pandas date time 9 | globaldata.dt = pd.to_datetime(globaldata.dt) 10 | 11 | # create new columns for date information 12 | globaldata['year'] = globaldata['dt'].dt.year 13 | globaldata['month'] = globaldata['dt'].dt.month 14 | globaldata['day'] = globaldata['dt'].dt.day 15 | 16 | # drop original datetime column 17 | globaldata = globaldata.drop('dt',1) 18 | 19 | # take rows with no missing LandAverageTemperature, target variable 20 | globaldata = globaldata[np.isfinite(globaldata['LandAverageTemperature'])] 21 | 22 | # fill in missing data 23 | globaldata = globaldata.fillna(-9999) 24 | 25 | # drop unnecessary columns 26 | globaldata = globaldata.drop('LandMaxTemperature',1) 27 | globaldata = globaldata.drop('LandMaxTemperatureUncertainty',1) 28 | globaldata = globaldata.drop('LandMinTemperature',1) 29 | globaldata = globaldata.drop('LandMinTemperatureUncertainty',1) 30 | globaldata = globaldata.drop('LandAverageTemperatureUncertainty',1) 31 | globaldata = globaldata.drop('LandAndOceanAverageTemperature',1) 32 | globaldata = globaldata.drop('LandAndOceanAverageTemperatureUncertainty',1) 33 | 34 | # rename target variable as class 35 | globaldata.rename(columns={'LandAverageTemperature': 'class'}, inplace=True) 36 | 37 | # write processed data to file 38 | globaldata.to_csv('cleaned_globaldata.csv',index=False) 39 | 40 | # exit program 41 | exit() -------------------------------------------------------------------------------- /predict_current.py: -------------------------------------------------------------------------------- 1 | # import modules 2 | import numpy as np 3 | import pandas as pd 4 | from sklearn.cluster import FeatureAgglomeration 5 | from sklearn.ensemble import GradientBoostingRegressor, VotingClassifier 6 | from sklearn.model_selection import train_test_split 7 | from sklearn.pipeline import make_pipeline, make_union 8 | from sklearn.preprocessing import FunctionTransformer 9 | 10 | # read in training data 11 | # NOTE: Make sure that the class is labeled 'class' in the data file 12 | tpot_data = np.recfromcsv('cleaned_globaldata.csv', delimiter=',', dtype=np.float64) 13 | 14 | # feature selection 15 | features = np.delete(tpot_data.view(np.float64).reshape(tpot_data.size, -1), tpot_data.dtype.names.index('class'), axis=1) 16 | 17 | # split into training and testing set 18 | training_features, testing_features, training_classes, testing_classes = train_test_split(features, tpot_data['class'], random_state=42) 19 | 20 | # create pipeline 21 | exported_pipeline = make_pipeline( 22 | FeatureAgglomeration(affinity="cosine", linkage="average"), 23 | GradientBoostingRegressor(learning_rate=0.03, max_features=0.03, n_estimators=500)) 24 | 25 | # train pipeline on training features 26 | exported_pipeline.fit(training_features, training_classes) 27 | 28 | # run pipeline on all features to get pipeline's prediction for all months for visualization 29 | results = exported_pipeline.predict(features) 30 | 31 | # put results in dataframe 32 | final = pd.DataFrame({'year':tpot_data['year'],'month':tpot_data['month'],'day':tpot_data['day'],'actual_temp':tpot_data['class'],'predicted_temp':results}) 33 | final.to_csv('original_data_predictions.csv', index=False) 34 | 35 | # exit program 36 | exit() 37 | -------------------------------------------------------------------------------- /output.txt: -------------------------------------------------------------------------------- 1 | Generation 1 - Current Pareto front scores: 2 | 1 0.7947044339912042 XGBRegressor(input_matrix, 13, 33, 0.46000000000000002, 12.0) 3 | 2 0.7680041233907161 KNeighborsRegressor(StandardScaler(input_matrix), 25, 21) 4 | 5 | Generation 2 - Current Pareto front scores: 6 | 1 0.7947044339912042 XGBRegressor(input_matrix, 13, 33, 0.46000000000000002, 12.0) 7 | 2 0.7680041233907161 KNeighborsRegressor(StandardScaler(input_matrix), 25, 21) 8 | 9 | Generation 3 - Current Pareto front scores: 10 | 1 0.7255654671337387 GradientBoostingRegressor(input_matrix, 0.14000000000000001, 0.11) 11 | 12 | Generation 4 - Current Pareto front scores: 13 | 1 0.7255654671337387 GradientBoostingRegressor(input_matrix, 0.14000000000000001, 0.11) 14 | 15 | Generation 5 - Current Pareto front scores: 16 | 1 0.7255654671337387 GradientBoostingRegressor(input_matrix, 0.14000000000000001, 0.11) 17 | 18 | Generation 6 - Current Pareto front scores: 19 | 1 0.7255654671337387 GradientBoostingRegressor(input_matrix, 0.14000000000000001, 0.11) 20 | 2 0.7226996007792549 GradientBoostingRegressor(VarianceThreshold(input_matrix, 1.0), 0.14000000000000001, 0.11) 21 | 22 | Generation 7 - Current Pareto front scores: 23 | 1 0.6701367221963048 GradientBoostingRegressor(input_matrix, 0.029999999999999999, 0.71999999999999997) 24 | 25 | Generation 8 - Current Pareto front scores: 26 | 1 0.6701367221963048 GradientBoostingRegressor(input_matrix, 0.029999999999999999, 0.71999999999999997) 27 | 28 | Generation 9 - Current Pareto front scores: 29 | 1 0.6701367221963048 GradientBoostingRegressor(input_matrix, 0.029999999999999999, 0.71999999999999997) 30 | 31 | Generation 10 - Current Pareto front scores: 32 | 1 0.6701165278701522 GradientBoostingRegressor(CombineDFs(input_matrix, input_matrix), 0.029999999999999999, 0.71999999999999997) 33 | 34 | TPOT score: 0.6283690079003942 35 | -------------------------------------------------------------------------------- /climate_results.csv: -------------------------------------------------------------------------------- 1 | landavgtemp,month,year 2 | 3.514622091813424,1.0,2016.0 3 | 4.055344880492653,2.0,2016.0 4 | 6.168799139257467,3.0,2016.0 5 | 9.463199678286635,4.0,2016.0 6 | 12.422633339829899,5.0,2016.0 7 | 14.623092254089432,6.0,2016.0 8 | 15.414539394816423,7.0,2016.0 9 | 15.041952144442776,8.0,2016.0 10 | 13.173717224003477,9.0,2016.0 11 | 10.42455979949837,10.0,2016.0 12 | 7.270556699721444,11.0,2016.0 13 | 4.997194885224905,12.0,2016.0 14 | 3.514622091813424,1.0,2017.0 15 | 4.055344880492653,2.0,2017.0 16 | 6.168799139257467,3.0,2017.0 17 | 9.463199678286635,4.0,2017.0 18 | 12.422633339829899,5.0,2017.0 19 | 14.623092254089432,6.0,2017.0 20 | 15.414539394816423,7.0,2017.0 21 | 15.041952144442776,8.0,2017.0 22 | 13.173717224003477,9.0,2017.0 23 | 10.42455979949837,10.0,2017.0 24 | 7.270556699721444,11.0,2017.0 25 | 4.997194885224905,12.0,2017.0 26 | 3.514622091813424,1.0,2018.0 27 | 4.055344880492653,2.0,2018.0 28 | 6.168799139257467,3.0,2018.0 29 | 9.463199678286635,4.0,2018.0 30 | 12.422633339829899,5.0,2018.0 31 | 14.623092254089432,6.0,2018.0 32 | 15.414539394816423,7.0,2018.0 33 | 15.041952144442776,8.0,2018.0 34 | 13.173717224003477,9.0,2018.0 35 | 10.42455979949837,10.0,2018.0 36 | 7.270556699721444,11.0,2018.0 37 | 4.997194885224905,12.0,2018.0 38 | 3.514622091813424,1.0,2019.0 39 | 4.055344880492653,2.0,2019.0 40 | 6.168799139257467,3.0,2019.0 41 | 9.463199678286635,4.0,2019.0 42 | 12.422633339829899,5.0,2019.0 43 | 14.623092254089432,6.0,2019.0 44 | 15.414539394816423,7.0,2019.0 45 | 15.041952144442776,8.0,2019.0 46 | 13.173717224003477,9.0,2019.0 47 | 10.42455979949837,10.0,2019.0 48 | 7.270556699721444,11.0,2019.0 49 | 4.997194885224905,12.0,2019.0 50 | 3.514622091813424,1.0,2020.0 51 | 4.055344880492653,2.0,2020.0 52 | 6.168799139257467,3.0,2020.0 53 | 9.463199678286635,4.0,2020.0 54 | 12.422633339829899,5.0,2020.0 55 | 14.623092254089432,6.0,2020.0 56 | 15.414539394816423,7.0,2020.0 57 | 15.041952144442776,8.0,2020.0 58 | 13.173717224003477,9.0,2020.0 59 | 10.42455979949837,10.0,2020.0 60 | 7.270556699721444,11.0,2020.0 61 | 4.997194885224905,12.0,2020.0 62 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # genetic_algorithm_challenge 2 | Data files, code, and results for Genetic Algorithm Challenge by @Sirajology on Youtube 3 | 4 | 5 | 6 | The Challenge 7 | ============= 8 | Use the TPOT library to make a discovery based on a question you pose. The question should be based on the Kaggle Climate Change Dataset (compiled from Berkeley Earth), but you get to choose the question. 9 | 10 | 11 | 12 | My Approach 13 | ============ 14 | The Climate Change Dataset on Kaggle contains several data files for land and ocean temperatures both globally and locally. I chose to address the following question: 15 | 16 | **What will the monthly global average temperatures be for the next 5 years?** 17 | 18 | I chose to use the file, [GlobalTemperatures.csv](GlobalTemperatures.csv), which contains global average land temperatures in celsius for months from 1750-2015. Here is my process: 19 | 20 | 1. I cleaned the data using the script [clean_data.py](clean_data.py) to produce a .csv file with features that I wanted TPOT to use and no missing data. The main feature I was interested in was the date (dt, in the original data file). I split the date column in to year, month and day. Here, I also renamed the target variable (LandAverageTemperature) as 'class'. The output of clean_data.py is [cleaned_globaldata.csv](cleaned_globaldata.csv). 21 | 22 | 2. I created a "fake" .csv file containing the years and months for which I wanted to make temperature predictions. This .csv file is called [global_test.csv](global_test.csv). The original data only runs until the year 2015, so in order to predict temperatures for the next 5 years, my test file contains dates for 2016-2020. 23 | 24 | 3. I wrote the script [tpot-climate.py](tpot-climate.py) that read in the cleaned temperature data (cleaned_globaldata.csv), and applied the TPOT library to create a machine learning pipeline for predicting temperatures. This script also takes the test file of dates for which the temperature should be predicted (global_test.csv), and outputs the results file [climate_results.csv](climate_results.csv) with these predictions. It also outputs the TPOT optimized pipeline to [climate_pipeline.py](climate_pipeline.py). The file [output.txt](output.txt) is the standard out from running the tpot-climate.py script. 25 | 26 | 4. I used the outputted, optimized pipeline to see how it would perform when asked to predict monthly global land temperatures on the original data. I did this in [predict_current.py](predict_current.py) to produce [original_data_predictions.csv](original_data_predictions.csv). 27 | 28 | 5. With all of the predictions from the optimized pipeline, I created some visualizations to understand TPOT's performance, and the climate data. 29 | 30 | Results 31 | ========== 32 | 33 | The resulting optimized pipeline from TPOT implemented FeatureAgglomeration and GradientBoostingRegressor, scoring 0.6283690079003942 MSE on the cross-validation portion of the training data. 34 | 35 | The original data set (cleaned), shows that the global land temperature has been gradually increasing over time (averaged by year, below). 36 | 37 | ![YearlyOriginal.png](YearlyOriginal.png) 38 | 39 | When we compare the original temperature data to TPOT's predictions, we see that TPOT does a pretty good job predicting global temperatures (averaged by year, below). 40 | 41 | ![YearlyPredicted.png](YearlyPredicted.png) 42 | 43 | Finally, to answer the original question, we can look at the monthly temperatures for the next 5 years. These were predicted by the script tpot-climate.py. 44 | 45 | ![MonthlyPredicted.png](MonthlyPredicted.png) 46 | 47 | 48 | Files in this repository 49 | ======================= 50 | * [GlobalTemperatures.csv](GlobalTemperatures.csv) - Original data file of monthly average global land and ocean temperatures downloaded from Kaggle 51 | * [MonthlyPredicted.png](MonthlyPredicted.png) - Figure of monthly temperatures for recent years predicted by TPOT 52 | * [YearlyOriginal.png](YearlyOriginal.png) - Figure of global temperatures, averaged by year, from the cleaned data file 53 | * [YearlyPredicted.png](YearlyPredicted.png) - Figure of global temperatures, averaged by year, for original and predicted values 54 | * [clean_data.py](clean_data.py) - Python script I used to clean the original data file, GlobalTemperatures.csv. 55 | * [cleaned_globaldata.csv](cleaned_globaldata.csv) - Output from clean_data.py. Contains cleaned data from original data file. 56 | * [climate_pipeline.py](climate_pipeline.py) - Exported python script output from tpot-climate.py containing the TPOT optimized pipeline 57 | * [climate_results.csv](climate_results.csv) - Output from tpot-climate.py. Contains temperature predictions for next 5 years. 58 | * [global_test.csv](global_test.csv) - 'Fake' data file used as testing set, for making 5 year future prediction 59 | * [original_data_predictions.csv](original_data_predictions.csv) - Output from predict_current.py. Contains orininal and TPOT predicted global monthly temperatures. 60 | * [output.txt](output.txt) - Standard out output from running tpot-climate.py 61 | * [predict_current.py](predict_current.py) - Python code I used to run TPOT on cleaned original data. Based on pipeline from climate_pipeline.py. 62 | * [tpot-climate.py](tpot-climate.py) - Python code I used to run TPOT on training and test data. 63 | * [visualizations.ipynb](visualizations.ipynb) - Jupyter notebook of code I used to create the figures. 64 | -------------------------------------------------------------------------------- /cleaned_globaldata.csv: -------------------------------------------------------------------------------- 1 | class,year,month,day 2 | 3.0340000000000003,1750,1,1 3 | 3.083,1750,2,1 4 | 5.626,1750,3,1 5 | 8.49,1750,4,1 6 | 11.573,1750,5,1 7 | 12.937,1750,6,1 8 | 15.868,1750,7,1 9 | 14.75,1750,8,1 10 | 11.412999999999998,1750,9,1 11 | 6.366999999999999,1750,10,1 12 | 2.772,1750,12,1 13 | 2.495,1751,1,1 14 | 0.963,1751,2,1 15 | 5.8,1751,3,1 16 | 7.67,1751,4,1 17 | 13.827,1751,6,1 18 | 14.405,1751,8,1 19 | 10.673,1751,9,1 20 | 0.3480000000000003,1752,1,1 21 | 5.806,1752,3,1 22 | 8.264999999999999,1752,4,1 23 | 7.838999999999999,1752,10,1 24 | 7.335,1752,11,1 25 | 5.086,1752,12,1 26 | 2.039,1753,1,1 27 | 0.7149999999999999,1753,2,1 28 | 5.424,1753,3,1 29 | 8.272,1753,4,1 30 | 12.186,1753,5,1 31 | 14.585,1753,6,1 32 | 15.092,1753,7,1 33 | 14.148,1753,8,1 34 | 13.322,1753,9,1 35 | 8.962,1753,10,1 36 | 5.353,1753,11,1 37 | 0.5589999999999997,1753,12,1 38 | 1.574,1754,1,1 39 | -1.2489999999999997,1754,2,1 40 | 3.677,1754,3,1 41 | 11.61,1754,4,1 42 | 11.936,1754,5,1 43 | 14.388,1754,6,1 44 | 14.681,1754,7,1 45 | 13.556,1754,8,1 46 | 11.129,1754,9,1 47 | 9.582,1754,10,1 48 | 6.1610000000000005,1754,11,1 49 | 4.587,1754,12,1 50 | 1.067,1755,1,1 51 | -0.1080000000000001,1755,2,1 52 | 3.607,1755,3,1 53 | 9.263,1755,4,1 54 | 12.880999999999998,1755,5,1 55 | 15.38,1755,6,1 56 | 14.397,1755,7,1 57 | 13.515,1755,8,1 58 | 11.773,1755,9,1 59 | 9.97,1755,10,1 60 | 5.957999999999998,1755,11,1 61 | 2.564,1755,12,1 62 | 3.887,1756,1,1 63 | 5.666,1756,2,1 64 | 4.192,1756,3,1 65 | 10.042,1756,4,1 66 | 14.163999999999998,1756,5,1 67 | 14.547,1756,6,1 68 | 13.906,1756,7,1 69 | 13.437,1756,8,1 70 | 12.652,1756,9,1 71 | 7.3119999999999985,1756,10,1 72 | 4.225,1756,11,1 73 | 2.165,1756,12,1 74 | -0.27600000000000025,1757,1,1 75 | 3.7039999999999997,1757,2,1 76 | 4.529,1757,3,1 77 | 8.245999999999999,1757,4,1 78 | 13.039,1757,5,1 79 | 17.115,1757,6,1 80 | 17.61,1757,7,1 81 | 17.91,1757,8,1 82 | 14.852,1757,9,1 83 | 6.4819999999999975,1757,10,1 84 | 4.032,1757,11,1 85 | 1.0210000000000004,1757,12,1 86 | -1.5029999999999997,1758,1,1 87 | 0.8059999999999999,1758,2,1 88 | 3.765,1758,3,1 89 | 7.209999999999999,1758,4,1 90 | 9.715,1758,5,1 91 | 13.139,1758,6,1 92 | 13.847,1758,7,1 93 | 11.818,1758,8,1 94 | 10.027999999999999,1758,9,1 95 | 1.8939999999999992,1758,10,1 96 | 6.955,1758,11,1 97 | 3.2489999999999997,1758,12,1 98 | 5.0139999999999985,1759,1,1 99 | 4.082,1759,2,1 100 | 4.52,1759,3,1 101 | 5.983,1759,4,1 102 | 10.189,1759,5,1 103 | 13.512,1759,6,1 104 | 12.526,1759,7,1 105 | 14.587,1759,8,1 106 | 12.626,1759,9,1 107 | 8.267000000000001,1759,10,1 108 | 4.268000000000002,1759,11,1 109 | 0.2469999999999999,1759,12,1 110 | -0.8109999999999999,1760,1,1 111 | 2.436,1760,2,1 112 | 1.864,1760,3,1 113 | 7.435999999999999,1760,4,1 114 | 10.661,1760,5,1 115 | 11.945,1760,6,1 116 | 12.887,1760,7,1 117 | 13.917,1760,8,1 118 | 11.197,1760,9,1 119 | 6.7010000000000005,1760,10,1 120 | 5.436,1760,11,1 121 | 2.553,1760,12,1 122 | 0.6000000000000001,1761,1,1 123 | 2.735,1761,2,1 124 | 5.976,1761,3,1 125 | 7.3210000000000015,1761,4,1 126 | 13.450999999999999,1761,5,1 127 | 16.820999999999998,1761,6,1 128 | 19.021,1761,7,1 129 | 15.331,1761,8,1 130 | 12.534999999999998,1761,9,1 131 | 7.2269999999999985,1761,10,1 132 | 5.089,1761,11,1 133 | -0.8370000000000002,1761,12,1 134 | 6.8660000000000005,1762,1,1 135 | 4.801,1762,2,1 136 | 3.5280000000000005,1762,3,1 137 | 9.019,1762,4,1 138 | 10.880999999999998,1762,5,1 139 | 13.499,1762,6,1 140 | 14.72,1762,7,1 141 | 13.992,1762,8,1 142 | 10.325999999999999,1762,9,1 143 | 6.1560000000000015,1762,10,1 144 | 6.367000000000001,1762,11,1 145 | 3.123,1762,12,1 146 | 1.3690000000000002,1763,1,1 147 | 0.7709999999999999,1763,2,1 148 | 1.5760000000000003,1763,3,1 149 | 7.870999999999999,1763,4,1 150 | 10.700999999999999,1763,5,1 151 | 12.270999999999999,1763,6,1 152 | 16.391,1763,7,1 153 | 14.126,1763,8,1 154 | 11.378,1763,9,1 155 | 5.535,1763,10,1 156 | 4.588,1763,11,1 157 | 3.384,1763,12,1 158 | 1.741,1764,1,1 159 | 6.162000000000001,1764,2,1 160 | 5.521,1764,3,1 161 | 7.879999999999999,1764,4,1 162 | 11.175,1764,5,1 163 | 11.722999999999999,1764,6,1 164 | 12.507,1764,7,1 165 | 12.282,1764,8,1 166 | 10.696,1764,9,1 167 | 10.011,1764,10,1 168 | 5.791,1764,11,1 169 | 5.315,1764,12,1 170 | 3.78,1765,1,1 171 | 3.832,1765,2,1 172 | 6.859,1765,3,1 173 | 9.013,1765,4,1 174 | 10.734000000000002,1765,5,1 175 | 10.832999999999998,1765,6,1 176 | 13.953,1765,7,1 177 | 13.12,1765,8,1 178 | 10.993,1765,9,1 179 | 7.904,1765,10,1 180 | 5.603,1765,11,1 181 | 2.399,1765,12,1 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8.179,1775,11,1 301 | 1.2839999999999998,1775,12,1 302 | -0.8059999999999999,1776,1,1 303 | 4.825,1776,2,1 304 | 4.652,1776,3,1 305 | 7.439999999999999,1776,4,1 306 | 10.475,1776,5,1 307 | 14.564,1776,6,1 308 | 14.108,1776,7,1 309 | 14.837,1776,8,1 310 | 10.602,1776,9,1 311 | 8.059999999999999,1776,10,1 312 | 5.87,1776,11,1 313 | 5.021,1776,12,1 314 | 6.021000000000001,1777,1,1 315 | 4.9190000000000005,1777,2,1 316 | 5.572,1777,3,1 317 | 6.361999999999999,1777,4,1 318 | 11.389,1777,5,1 319 | 12.323,1777,6,1 320 | 12.743,1777,7,1 321 | 12.815,1777,8,1 322 | 11.379,1777,9,1 323 | 6.956,1777,10,1 324 | 5.529,1777,11,1 325 | 3.067,1777,12,1 326 | 2.521,1778,1,1 327 | 6.093999999999999,1778,2,1 328 | 4.604,1778,3,1 329 | 10.983999999999998,1778,4,1 330 | 11.286,1778,5,1 331 | 11.731,1778,6,1 332 | 15.037,1778,7,1 333 | 12.869000000000002,1778,8,1 334 | 13.377,1778,9,1 335 | 8.049,1778,10,1 336 | 3.854,1778,11,1 337 | 2.101,1778,12,1 338 | 1.4700000000000002,1779,1,1 339 | 5.14,1779,2,1 340 | 6.9670000000000005,1779,3,1 341 | 9.965,1779,4,1 342 | 14.18,1779,5,1 343 | 12.547,1779,6,1 344 | 13.659,1779,7,1 345 | 13.799,1779,8,1 346 | 12.683,1779,9,1 347 | 9.35,1779,10,1 348 | 5.7700000000000005,1779,11,1 349 | 2.269,1779,12,1 350 | 2.515,1780,1,1 351 | 4.08,1780,2,1 352 | 5.724,1780,3,1 353 | 13.732,1780,4,1 354 | 15.756999999999998,1780,5,1 355 | 14.747,1780,6,1 356 | 16.183,1780,7,1 357 | 12.947,1780,8,1 358 | 8.844,1780,9,1 359 | 9.376,1780,10,1 360 | 6.706,1780,11,1 361 | 2.584,1780,12,1 362 | 2.401,1781,1,1 363 | 2.267,1781,2,1 364 | 4.772,1781,3,1 365 | 6.922999999999999,1781,4,1 366 | 11.102,1781,5,1 367 | 11.677999999999999,1781,6,1 368 | 14.285,1781,7,1 369 | 14.140999999999998,1781,8,1 370 | 10.303999999999998,1781,9,1 371 | 8.546999999999999,1781,10,1 372 | 7.523,1781,11,1 373 | 3.2880000000000003,1781,12,1 374 | 0.3410000000000002,1782,1,1 375 | 0.6389999999999998,1782,2,1 376 | 2.565,1782,3,1 377 | 8.617999999999999,1782,4,1 378 | 10.989999999999998,1782,5,1 379 | 13.800999999999998,1782,6,1 380 | 13.925,1782,7,1 381 | 15.683,1782,8,1 382 | 12.398,1782,9,1 383 | 8.978,1782,10,1 384 | 4.956,1782,11,1 385 | 1.921,1782,12,1 386 | -1.4310000000000005,1783,1,1 387 | 5.2940000000000005,1783,2,1 388 | 4.799,1783,3,1 389 | 8.574,1783,4,1 390 | 11.819,1783,5,1 391 | 14.34,1783,6,1 392 | 13.069,1783,7,1 393 | 13.970999999999998,1783,8,1 394 | 9.957999999999998,1783,9,1 395 | 7.3569999999999975,1783,10,1 396 | 2.196,1783,11,1 397 | 2.224,1783,12,1 398 | 2.596,1784,1,1 399 | 0.9890000000000001,1784,2,1 400 | 3.919,1784,3,1 401 | 8.142000000000001,1784,4,1 402 | 10.013,1784,5,1 403 | 12.802999999999999,1784,6,1 404 | 14.947000000000001,1784,7,1 405 | 15.861,1784,8,1 406 | 10.265999999999998,1784,9,1 407 | 6.835999999999999,1784,10,1 408 | 4.557,1784,11,1 409 | 3.415,1784,12,1 410 | 0.865,1785,1,1 411 | 1.045,1785,2,1 412 | 2.289,1785,3,1 413 | 6.379,1785,4,1 414 | 9.853,1785,5,1 415 | 13.744000000000002,1785,6,1 416 | 14.468,1785,7,1 417 | 14.466,1785,8,1 418 | 10.497,1785,9,1 419 | 7.350999999999999,1785,10,1 420 | 5.526,1785,11,1 421 | 1.873,1785,12,1 422 | 0.7630000000000001,1786,1,1 423 | 2.657,1786,2,1 424 | 5.648,1786,3,1 425 | 9.318,1786,4,1 426 | 11.582999999999998,1786,5,1 427 | 13.035,1786,6,1 428 | 15.294,1786,7,1 429 | 14.455,1786,8,1 430 | 12.158,1786,9,1 431 | 7.7120000000000015,1786,10,1 432 | 5.7410000000000005,1786,11,1 433 | 0.7339999999999995,1786,12,1 434 | 2.845,1787,1,1 435 | 2.563,1787,2,1 436 | 4.698,1787,3,1 437 | 7.7719999999999985,1787,4,1 438 | 11.402999999999999,1787,5,1 439 | 14.369000000000002,1787,6,1 440 | 13.451,1787,7,1 441 | 13.555,1787,8,1 442 | 10.357,1787,9,1 443 | 7.7719999999999985,1787,10,1 444 | 5.801,1787,11,1 445 | 1.7959999999999998,1787,12,1 446 | 0.7350000000000001,1788,1,1 447 | 3.5810000000000004,1788,2,1 448 | 5.336,1788,3,1 449 | 8.713999999999999,1788,4,1 450 | 10.427999999999999,1788,5,1 451 | 13.808,1788,6,1 452 | 16.468,1788,7,1 453 | 13.885,1788,8,1 454 | 11.699000000000002,1788,9,1 455 | 9.349,1788,10,1 456 | 6.1110000000000015,1788,11,1 457 | 1.2519999999999998,1788,12,1 458 | 3.706,1789,1,1 459 | 1.675,1789,2,1 460 | 3.989,1789,3,1 461 | 7.693999999999999,1789,4,1 462 | 11.665999999999999,1789,5,1 463 | 13.507,1789,6,1 464 | 15.462,1789,7,1 465 | 13.84,1789,8,1 466 | 12.017999999999999,1789,9,1 467 | 7.39,1789,10,1 468 | 5.964,1789,11,1 469 | 3.0989999999999998,1789,12,1 470 | 2.444,1790,1,1 471 | 2.9730000000000003,1790,2,1 472 | 4.582,1790,3,1 473 | 6.052999999999999,1790,4,1 474 | 10.357,1790,5,1 475 | 13.745999999999999,1790,6,1 476 | 13.812,1790,7,1 477 | 13.925,1790,8,1 478 | 11.232999999999999,1790,9,1 479 | 8.577,1790,10,1 480 | 5.331,1790,11,1 481 | 2.755,1790,12,1 482 | 1.493,1791,1,1 483 | 3.466,1791,2,1 484 | 4.79,1791,3,1 485 | 9.127,1791,4,1 486 | 9.859,1791,5,1 487 | 13.231,1791,6,1 488 | 13.612,1791,7,1 489 | 13.744000000000002,1791,8,1 490 | 11.677,1791,9,1 491 | 8.08,1791,10,1 492 | 6.206,1791,11,1 493 | 3.526,1791,12,1 494 | 0.3480000000000003,1792,1,1 495 | 3.62,1792,2,1 496 | 4.4289999999999985,1792,3,1 497 | 7.994,1792,4,1 498 | 11.321,1792,5,1 499 | 13.581,1792,6,1 500 | 14.212,1792,7,1 501 | 12.281,1792,8,1 502 | 12.491,1792,9,1 503 | 8.097000000000001,1792,10,1 504 | 5.306,1792,11,1 505 | 3.388,1792,12,1 506 | 0.5209999999999999,1793,1,1 507 | 4.745,1793,2,1 508 | 5.042,1793,3,1 509 | 8.642999999999999,1793,4,1 510 | 11.059,1793,5,1 511 | 13.145999999999999,1793,6,1 512 | 14.336,1793,7,1 513 | 13.16,1793,8,1 514 | 12.002,1793,9,1 515 | 8.392999999999999,1793,10,1 516 | 5.666,1793,11,1 517 | 2.037,1793,12,1 518 | 3.71,1794,1,1 519 | 3.605,1794,2,1 520 | 5.6960000000000015,1794,3,1 521 | 9.367,1794,4,1 522 | 12.376,1794,5,1 523 | 11.994000000000002,1794,6,1 524 | 12.874,1794,7,1 525 | 13.484000000000002,1794,8,1 526 | 11.895999999999999,1794,9,1 527 | 9.107999999999999,1794,10,1 528 | 5.284,1794,11,1 529 | 2.918,1794,12,1 530 | 2.7310000000000003,1795,1,1 531 | 4.39,1795,2,1 532 | 5.709,1795,3,1 533 | 8.918,1795,4,1 534 | 11.029000000000002,1795,5,1 535 | 13.293,1795,6,1 536 | 14.295,1795,7,1 537 | 13.14,1795,8,1 538 | 11.133,1795,9,1 539 | 7.786,1795,10,1 540 | 5.207000000000002,1795,11,1 541 | 2.573,1795,12,1 542 | 2.8440000000000003,1796,1,1 543 | 2.736,1796,2,1 544 | 3.477,1796,3,1 545 | 7.773,1796,4,1 546 | 11.273,1796,5,1 547 | 14.216,1796,6,1 548 | 14.314,1796,7,1 549 | 14.722,1796,8,1 550 | 12.012,1796,9,1 551 | 8.924,1796,10,1 552 | 5.702000000000001,1796,11,1 553 | 1.259,1796,12,1 554 | 4.396,1797,1,1 555 | 4.957,1797,2,1 556 | 4.056,1797,3,1 557 | 6.6,1797,4,1 558 | 10.417,1797,5,1 559 | 13.852,1797,6,1 560 | 14.107,1797,7,1 561 | 14.04,1797,8,1 562 | 12.459,1797,9,1 563 | 9.191,1797,10,1 564 | 4.777,1797,11,1 565 | 3.275,1797,12,1 566 | 2.6790000000000003,1798,1,1 567 | 3.213,1798,2,1 568 | 7.007999999999999,1798,3,1 569 | 8.083,1798,4,1 570 | 11.768999999999998,1798,5,1 571 | 13.245999999999999,1798,6,1 572 | 14.951,1798,7,1 573 | 14.754,1798,8,1 574 | 11.627,1798,9,1 575 | 8.655,1798,10,1 576 | 6.0310000000000015,1798,11,1 577 | 2.0269999999999997,1798,12,1 578 | 1.923,1799,1,1 579 | 2.0780000000000003,1799,2,1 580 | 3.986,1799,3,1 581 | 8.786,1799,4,1 582 | 11.353,1799,5,1 583 | 13.68,1799,6,1 584 | 14.869000000000002,1799,7,1 585 | 14.086,1799,8,1 586 | 12.311,1799,9,1 587 | 9.606,1799,10,1 588 | 5.904,1799,11,1 589 | 3.487,1799,12,1 590 | 2.815,1800,1,1 591 | 3.634,1800,2,1 592 | 4.452,1800,3,1 593 | 9.125,1800,4,1 594 | 11.097,1800,5,1 595 | 13.606,1800,6,1 596 | 13.763,1800,7,1 597 | 13.619000000000002,1800,8,1 598 | 10.795,1800,9,1 599 | 9.469,1800,10,1 600 | 5.572,1800,11,1 601 | 3.864,1800,12,1 602 | 2.6870000000000003,1801,1,1 603 | 3.149,1801,2,1 604 | 6.455,1801,3,1 605 | 7.404,1801,4,1 606 | 12.123,1801,5,1 607 | 12.536,1801,6,1 608 | 14.675999999999998,1801,7,1 609 | 13.187,1801,8,1 610 | 11.462,1801,9,1 611 | 9.099,1801,10,1 612 | 5.72,1801,11,1 613 | 4.577999999999999,1801,12,1 614 | 3.74,1802,1,1 615 | 2.8280000000000003,1802,2,1 616 | 5.2010000000000005,1802,3,1 617 | 7.6229999999999976,1802,4,1 618 | 10.457,1802,5,1 619 | 14.470999999999998,1802,6,1 620 | 14.628,1802,7,1 621 | 14.039,1802,8,1 622 | 11.787999999999998,1802,9,1 623 | 9.747,1802,10,1 624 | 5.535,1802,11,1 625 | 2.881,1802,12,1 626 | 0.6019999999999999,1803,1,1 627 | 1.443,1803,2,1 628 | 4.875,1803,3,1 629 | 9.291,1803,4,1 630 | 11.795,1803,5,1 631 | 13.821,1803,6,1 632 | 15.106,1803,7,1 633 | 15.366,1803,8,1 634 | 12.33,1803,9,1 635 | 9.119,1803,10,1 636 | 5.961,1803,11,1 637 | 2.327,1803,12,1 638 | 2.4450000000000003,1804,1,1 639 | 1.939,1804,2,1 640 | 4.425,1804,3,1 641 | 10.057,1804,4,1 642 | 12.107,1804,5,1 643 | 13.774,1804,6,1 644 | 15.774000000000001,1804,7,1 645 | 14.511,1804,8,1 646 | 12.468,1804,9,1 647 | 9.282,1804,10,1 648 | 7.1320000000000014,1804,11,1 649 | 2.224,1804,12,1 650 | 2.822,1805,1,1 651 | 2.557,1805,2,1 652 | 5.76,1805,3,1 653 | 8.123,1805,4,1 654 | 11.104,1805,5,1 655 | 14.027,1805,6,1 656 | 14.702,1805,7,1 657 | 15.27,1805,8,1 658 | 12.039,1805,9,1 659 | 7.635999999999999,1805,10,1 660 | 4.555,1805,11,1 661 | 4.158,1805,12,1 662 | 2.9170000000000003,1806,1,1 663 | 2.937,1806,2,1 664 | 4.691,1806,3,1 665 | 8.032,1806,4,1 666 | 11.503,1806,5,1 667 | 12.418,1806,6,1 668 | 13.923,1806,7,1 669 | 14.593,1806,8,1 670 | 12.549,1806,9,1 671 | 8.426,1806,10,1 672 | 5.231,1806,11,1 673 | 3.989,1806,12,1 674 | 1.0550000000000002,1807,1,1 675 | 4.0939999999999985,1807,2,1 676 | 4.788,1807,3,1 677 | 6.970999999999999,1807,4,1 678 | 9.331,1807,5,1 679 | 13.293,1807,6,1 680 | 14.138,1807,7,1 681 | 13.799,1807,8,1 682 | 12.614999999999998,1807,9,1 683 | 8.857000000000003,1807,10,1 684 | 6.015,1807,11,1 685 | 4.420999999999999,1807,12,1 686 | 1.131,1808,1,1 687 | 2.142,1808,2,1 688 | 4.3610000000000015,1808,3,1 689 | 7.4819999999999975,1808,4,1 690 | 9.357,1808,5,1 691 | 13.428999999999998,1808,6,1 692 | 14.491,1808,7,1 693 | 13.047,1808,8,1 694 | 12.710999999999999,1808,9,1 695 | 7.971999999999999,1808,10,1 696 | 4.5120000000000005,1808,11,1 697 | 0.887,1808,12,1 698 | 0.20800000000000016,1809,1,1 699 | 0.8559999999999999,1809,2,1 700 | 3.425,1809,3,1 701 | 7.8329999999999975,1809,4,1 702 | 9.243,1809,5,1 703 | 12.998,1809,6,1 704 | 12.656,1809,7,1 705 | 12.905,1809,8,1 706 | 10.967,1809,9,1 707 | 8.65,1809,10,1 708 | 3.0989999999999998,1809,11,1 709 | 2.077,1809,12,1 710 | 0.8880000000000001,1810,1,1 711 | 2.391,1810,2,1 712 | 5.0139999999999985,1810,3,1 713 | 6.5329999999999995,1810,4,1 714 | 9.068999999999999,1810,5,1 715 | 11.934,1810,6,1 716 | 12.550999999999998,1810,7,1 717 | 12.041,1810,8,1 718 | 9.532,1810,9,1 719 | 6.6320000000000014,1810,10,1 720 | 3.827,1810,11,1 721 | 2.66,1810,12,1 722 | 1.374,1811,1,1 723 | 0.4500000000000002,1811,2,1 724 | 3.701,1811,3,1 725 | 6.3020000000000005,1811,4,1 726 | 9.443,1811,5,1 727 | 12.137,1811,6,1 728 | 11.956,1811,7,1 729 | 13.326,1811,8,1 730 | 10.368,1811,9,1 731 | 6.58,1811,10,1 732 | 3.503,1811,11,1 733 | 3.174,1811,12,1 734 | 0.977,1812,1,1 735 | 0.13100000000000026,1812,2,1 736 | 2.044,1812,3,1 737 | 6.9499999999999975,1812,4,1 738 | 9.579999999999998,1812,5,1 739 | 12.005,1812,6,1 740 | 14.355,1812,7,1 741 | 15.018,1812,8,1 742 | 10.185,1812,9,1 743 | 7.593,1812,10,1 744 | 4.369,1812,11,1 745 | 1.348,1812,12,1 746 | -1.3849999999999998,1813,1,1 747 | 2.258,1813,2,1 748 | 1.596,1813,3,1 749 | 8.181999999999999,1813,4,1 750 | 11.367,1813,5,1 751 | 13.242,1813,6,1 752 | 14.521,1813,7,1 753 | 13.097,1813,8,1 754 | 12.339,1813,9,1 755 | 8.666,1813,10,1 756 | 6.825,1813,11,1 757 | 2.171,1813,12,1 758 | 1.5020000000000002,1814,1,1 759 | 1.689,1814,2,1 760 | 2.6639999999999997,1814,3,1 761 | 7.193,1814,4,1 762 | 9.417,1814,5,1 763 | 12.818,1814,6,1 764 | 12.532,1814,7,1 765 | 12.668,1814,8,1 766 | 10.675999999999998,1814,9,1 767 | 7.374,1814,10,1 768 | 6.739,1814,11,1 769 | 5.8290000000000015,1814,12,1 770 | 2.051,1815,1,1 771 | 2.273,1815,2,1 772 | 3.6630000000000003,1815,3,1 773 | 6.587999999999999,1815,4,1 774 | 9.845,1815,5,1 775 | 11.162,1815,6,1 776 | 14.394,1815,7,1 777 | 13.209,1815,8,1 778 | 11.151,1815,9,1 779 | 7.1370000000000005,1815,10,1 780 | 4.178,1815,11,1 781 | 1.2209999999999996,1815,12,1 782 | 2.737,1816,1,1 783 | 0.6759999999999997,1816,2,1 784 | 3.905,1816,3,1 785 | 7.606,1816,4,1 786 | 10.594,1816,5,1 787 | 11.79,1816,6,1 788 | 12.267,1816,7,1 789 | 12.57,1816,8,1 790 | 10.39,1816,9,1 791 | 5.699,1816,10,1 792 | 4.058,1816,11,1 793 | 0.9580000000000002,1816,12,1 794 | 1.54,1817,1,1 795 | 3.649,1817,2,1 796 | 4.569,1817,3,1 797 | 7.8889999999999985,1817,4,1 798 | 9.476,1817,5,1 799 | 11.287,1817,6,1 800 | 12.072,1817,7,1 801 | 13.403,1817,8,1 802 | 8.812000000000003,1817,9,1 803 | 6.202999999999999,1817,10,1 804 | 4.638,1817,11,1 805 | 0.16999999999999993,1817,12,1 806 | 1.2040000000000002,1818,1,1 807 | 0.7549999999999999,1818,2,1 808 | 5.565,1818,3,1 809 | 9.901,1818,4,1 810 | 11.247,1818,5,1 811 | 13.825,1818,6,1 812 | 13.51,1818,7,1 813 | 13.166,1818,8,1 814 | 10.578,1818,9,1 815 | 6.654,1818,10,1 816 | 5.035,1818,11,1 817 | 2.5069999999999997,1818,12,1 818 | 1.0140000000000002,1819,1,1 819 | 2.286,1819,2,1 820 | 2.931,1819,3,1 821 | 7.029,1819,4,1 822 | 9.851,1819,5,1 823 | 12.526,1819,6,1 824 | 13.038,1819,7,1 825 | 12.557,1819,8,1 826 | 10.893999999999998,1819,9,1 827 | 9.312,1819,10,1 828 | 5.15,1819,11,1 829 | 1.8419999999999999,1819,12,1 830 | 1.236,1820,1,1 831 | 2.145,1820,2,1 832 | 4.618,1820,3,1 833 | 8.7,1820,4,1 834 | 11.62,1820,5,1 835 | 13.323,1820,6,1 836 | 13.311,1820,7,1 837 | 11.978,1820,8,1 838 | 11.16,1820,9,1 839 | 7.587999999999999,1820,10,1 840 | 4.4430000000000005,1820,11,1 841 | 1.273,1820,12,1 842 | 2.999,1821,1,1 843 | 3.758,1821,2,1 844 | 5.4620000000000015,1821,3,1 845 | 7.738999999999999,1821,4,1 846 | 11.3,1821,5,1 847 | 12.607999999999999,1821,6,1 848 | 13.039,1821,7,1 849 | 13.145,1821,8,1 850 | 10.177999999999999,1821,9,1 851 | 8.535,1821,10,1 852 | 5.601,1821,11,1 853 | 2.717,1821,12,1 854 | 2.759,1822,1,1 855 | 4.465,1822,2,1 856 | 7.787000000000001,1822,3,1 857 | 8.277999999999999,1822,4,1 858 | 10.485999999999999,1822,5,1 859 | 13.067,1822,6,1 860 | 14.212,1822,7,1 861 | 13.215,1822,8,1 862 | 10.695,1822,9,1 863 | 7.773999999999999,1822,10,1 864 | 4.501,1822,11,1 865 | 1.0210000000000004,1822,12,1 866 | 1.758,1823,1,1 867 | 1.966,1823,2,1 868 | 5.0680000000000005,1823,3,1 869 | 7.664999999999999,1823,4,1 870 | 10.562999999999999,1823,5,1 871 | 13.958,1823,6,1 872 | 14.197000000000001,1823,7,1 873 | 13.13,1823,8,1 874 | 10.198,1823,9,1 875 | 7.641999999999999,1823,10,1 876 | 4.508,1823,11,1 877 | 1.9709999999999999,1823,12,1 878 | 2.6510000000000002,1824,1,1 879 | 2.679,1824,2,1 880 | 5.357,1824,3,1 881 | 8.375,1824,4,1 882 | 11.132,1824,5,1 883 | 13.427,1824,6,1 884 | 14.83,1824,7,1 885 | 13.437,1824,8,1 886 | 11.527999999999999,1824,9,1 887 | 8.197000000000001,1824,10,1 888 | 5.877000000000002,1824,11,1 889 | 5.0760000000000005,1824,12,1 890 | 3.213,1825,1,1 891 | 3.092,1825,2,1 892 | 5.365,1825,3,1 893 | 8.988,1825,4,1 894 | 10.751,1825,5,1 895 | 13.765,1825,6,1 896 | 14.007,1825,7,1 897 | 13.269,1825,8,1 898 | 11.148,1825,9,1 899 | 7.978999999999999,1825,10,1 900 | 6.058,1825,11,1 901 | 3.037,1825,12,1 902 | 1.893,1826,1,1 903 | 1.5330000000000001,1826,2,1 904 | 4.888,1826,3,1 905 | 8.402999999999999,1826,4,1 906 | 11.803999999999998,1826,5,1 907 | 13.02,1826,6,1 908 | 14.482,1826,7,1 909 | 13.109000000000002,1826,8,1 910 | 11.177999999999999,1826,9,1 911 | 8.459,1826,10,1 912 | 6.634,1826,11,1 913 | 4.876,1826,12,1 914 | 3.593,1827,1,1 915 | 4.415,1827,2,1 916 | 6.141,1827,3,1 917 | 9.428999999999998,1827,4,1 918 | 11.807,1827,5,1 919 | 13.548,1827,6,1 920 | 14.684,1827,7,1 921 | 13.694,1827,8,1 922 | 10.883,1827,9,1 923 | 8.51,1827,10,1 924 | 6.279,1827,11,1 925 | 2.722,1827,12,1 926 | 0.5950000000000002,1828,1,1 927 | 1.853,1828,2,1 928 | 5.729,1828,3,1 929 | 8.737,1828,4,1 930 | 11.280999999999999,1828,5,1 931 | 14.124,1828,6,1 932 | 14.384,1828,7,1 933 | 13.635,1828,8,1 934 | 10.079999999999998,1828,9,1 935 | 8.655999999999999,1828,10,1 936 | 5.957000000000002,1828,11,1 937 | 2.9530000000000003,1828,12,1 938 | 2.032,1829,1,1 939 | 1.715,1829,2,1 940 | 5.061,1829,3,1 941 | 7.814999999999999,1829,4,1 942 | 11.335999999999999,1829,5,1 943 | 12.86,1829,6,1 944 | 14.225,1829,7,1 945 | 13.399,1829,8,1 946 | 10.597999999999999,1829,9,1 947 | 8.806000000000003,1829,10,1 948 | 5.003,1829,11,1 949 | 2.452,1829,12,1 950 | 2.9570000000000003,1830,1,1 951 | 4.085,1830,2,1 952 | 4.4540000000000015,1830,3,1 953 | 8.841000000000003,1830,4,1 954 | 10.202,1830,5,1 955 | 12.827,1830,6,1 956 | 14.942,1830,7,1 957 | 13.386,1830,8,1 958 | 10.54,1830,9,1 959 | 7.9929999999999986,1830,10,1 960 | 7.4929999999999986,1830,11,1 961 | 4.481,1830,12,1 962 | 2.182,1831,1,1 963 | 2.479,1831,2,1 964 | 4.558,1831,3,1 965 | 7.731,1831,4,1 966 | 10.994000000000002,1831,5,1 967 | 13.203,1831,6,1 968 | 13.58,1831,7,1 969 | 12.49,1831,8,1 970 | 9.946,1831,9,1 971 | 7.83,1831,10,1 972 | 4.412,1831,11,1 973 | 2.265,1831,12,1 974 | 1.717,1832,1,1 975 | 1.8330000000000002,1832,2,1 976 | 4.65,1832,3,1 977 | 8.059,1832,4,1 978 | 10.489,1832,5,1 979 | 12.857,1832,6,1 980 | 13.727,1832,7,1 981 | 11.966,1832,8,1 982 | 10.425999999999998,1832,9,1 983 | 8.634,1832,10,1 984 | 4.2620000000000005,1832,11,1 985 | 0.7819999999999996,1832,12,1 986 | 2.006,1833,1,1 987 | 2.815,1833,2,1 988 | 4.521,1833,3,1 989 | 7.869,1833,4,1 990 | 10.581,1833,5,1 991 | 13.049,1833,6,1 992 | 13.803,1833,7,1 993 | 13.222,1833,8,1 994 | 11.235999999999999,1833,9,1 995 | 7.899999999999999,1833,10,1 996 | 6.596,1833,11,1 997 | 2.5580000000000003,1833,12,1 998 | 0.3340000000000001,1834,1,1 999 | 2.329,1834,2,1 1000 | 5.7360000000000015,1834,3,1 1001 | 8.084999999999999,1834,4,1 1002 | 11.234000000000002,1834,5,1 1003 | 12.799,1834,6,1 1004 | 14.197000000000001,1834,7,1 1005 | 13.412,1834,8,1 1006 | 11.571,1834,9,1 1007 | 8.616999999999999,1834,10,1 1008 | 6.355,1834,11,1 1009 | 3.092,1834,12,1 1010 | 2.551,1835,1,1 1011 | 2.967,1835,2,1 1012 | 4.507,1835,3,1 1013 | 7.768999999999999,1835,4,1 1014 | 10.171,1835,5,1 1015 | 12.007,1835,6,1 1016 | 13.129,1835,7,1 1017 | 12.322,1835,8,1 1018 | 9.942,1835,9,1 1019 | 7.834999999999999,1835,10,1 1020 | 4.312,1835,11,1 1021 | 1.198,1835,12,1 1022 | 1.67,1836,1,1 1023 | 2.371,1836,2,1 1024 | 5.448,1836,3,1 1025 | 7.314999999999999,1836,4,1 1026 | 10.279000000000002,1836,5,1 1027 | 12.549,1836,6,1 1028 | 13.646,1836,7,1 1029 | 12.83,1836,8,1 1030 | 10.812,1836,9,1 1031 | 8.756,1836,10,1 1032 | 3.814,1836,11,1 1033 | 2.86,1836,12,1 1034 | 1.94,1837,1,1 1035 | 2.6189999999999998,1837,2,1 1036 | 3.865,1837,3,1 1037 | 6.555999999999999,1837,4,1 1038 | 9.972999999999999,1837,5,1 1039 | 12.099,1837,6,1 1040 | 13.526,1837,7,1 1041 | 13.018,1837,8,1 1042 | 10.805,1837,9,1 1043 | 7.653,1837,10,1 1044 | 4.1690000000000005,1837,11,1 1045 | 2.285,1837,12,1 1046 | -0.5569999999999999,1838,1,1 1047 | 1.5630000000000002,1838,2,1 1048 | 3.723,1838,3,1 1049 | 7.382999999999999,1838,4,1 1050 | 9.985,1838,5,1 1051 | 12.742,1838,6,1 1052 | 14.367,1838,7,1 1053 | 13.568,1838,8,1 1054 | 11.106,1838,9,1 1055 | 8.526,1838,10,1 1056 | 5.16,1838,11,1 1057 | 2.613,1838,12,1 1058 | 2.156,1839,1,1 1059 | 3.482,1839,2,1 1060 | 2.673,1839,3,1 1061 | 7.891999999999999,1839,4,1 1062 | 10.289,1839,5,1 1063 | 12.548,1839,6,1 1064 | 14.411,1839,7,1 1065 | 14.07,1839,8,1 1066 | 10.853,1839,9,1 1067 | 8.219,1839,10,1 1068 | 3.92,1839,11,1 1069 | 1.0739999999999998,1839,12,1 1070 | 2.5610000000000004,1840,1,1 1071 | 2.1020000000000003,1840,2,1 1072 | 4.04,1840,3,1 1073 | 7.943,1840,4,1 1074 | 11.173,1840,5,1 1075 | 13.411,1840,6,1 1076 | 14.714,1840,7,1 1077 | 13.086,1840,8,1 1078 | 11.01,1840,9,1 1079 | 7.505,1840,10,1 1080 | 4.101,1840,11,1 1081 | 1.909,1840,12,1 1082 | 0.6490000000000002,1841,1,1 1083 | 2.468,1841,2,1 1084 | 3.307,1841,3,1 1085 | 6.77,1841,4,1 1086 | 10.764,1841,5,1 1087 | 13.062,1841,6,1 1088 | 14.552,1841,7,1 1089 | 13.708,1841,8,1 1090 | 10.921,1841,9,1 1091 | 8.764999999999999,1841,10,1 1092 | 4.744,1841,11,1 1093 | 2.548,1841,12,1 1094 | 1.636,1842,1,1 1095 | 2.787,1842,2,1 1096 | 5.75,1842,3,1 1097 | 8.309999999999999,1842,4,1 1098 | 10.535,1842,5,1 1099 | 12.629,1842,6,1 1100 | 13.584,1842,7,1 1101 | 13.241,1842,8,1 1102 | 10.94,1842,9,1 1103 | 8.307,1842,10,1 1104 | 4.824,1842,11,1 1105 | 3.73,1842,12,1 1106 | 2.974,1843,1,1 1107 | 3.92,1843,2,1 1108 | 4.744,1843,3,1 1109 | 7.829999999999999,1843,4,1 1110 | 10.04,1843,5,1 1111 | 12.53,1843,6,1 1112 | 13.991,1843,7,1 1113 | 13.295,1843,8,1 1114 | 11.325999999999999,1843,9,1 1115 | 8.722000000000001,1843,10,1 1116 | 4.947,1843,11,1 1117 | 3.765,1843,12,1 1118 | 1.868,1844,1,1 1119 | 2.0380000000000003,1844,2,1 1120 | 4.734,1844,3,1 1121 | 7.3889999999999985,1844,4,1 1122 | 10.109,1844,5,1 1123 | 12.84,1844,6,1 1124 | 13.921,1844,7,1 1125 | 13.046,1844,8,1 1126 | 10.819,1844,9,1 1127 | 8.7,1844,10,1 1128 | 4.401,1844,11,1 1129 | 1.891,1844,12,1 1130 | 2.661,1845,1,1 1131 | 1.6269999999999998,1845,2,1 1132 | 4.651,1845,3,1 1133 | 8.158,1845,4,1 1134 | 10.433,1845,5,1 1135 | 12.863,1845,6,1 1136 | 14.319,1845,7,1 1137 | 13.556,1845,8,1 1138 | 11.234000000000002,1845,9,1 1139 | 7.781999999999999,1845,10,1 1140 | 5.194,1845,11,1 1141 | 1.7359999999999998,1845,12,1 1142 | 3.213,1846,1,1 1143 | 3.3760000000000003,1846,2,1 1144 | 6.314,1846,3,1 1145 | 7.472999999999999,1846,4,1 1146 | 10.895999999999999,1846,5,1 1147 | 13.53,1846,6,1 1148 | 14.923,1846,7,1 1149 | 14.121,1846,8,1 1150 | 11.738,1846,9,1 1151 | 8.229,1846,10,1 1152 | 5.0440000000000005,1846,11,1 1153 | 3.776,1846,12,1 1154 | 2.753,1847,1,1 1155 | 3.602,1847,2,1 1156 | 4.046,1847,3,1 1157 | 7.979999999999999,1847,4,1 1158 | 10.622,1847,5,1 1159 | 12.828,1847,6,1 1160 | 14.25,1847,7,1 1161 | 13.414,1847,8,1 1162 | 11.619000000000002,1847,9,1 1163 | 8.618,1847,10,1 1164 | 5.574,1847,11,1 1165 | 1.7259999999999998,1847,12,1 1166 | 0.5100000000000002,1848,1,1 1167 | 3.726,1848,2,1 1168 | 4.806,1848,3,1 1169 | 8.11,1848,4,1 1170 | 10.579999999999998,1848,5,1 1171 | 13.247,1848,6,1 1172 | 14.466,1848,7,1 1173 | 13.268,1848,8,1 1174 | 10.997,1848,9,1 1175 | 8.655,1848,10,1 1176 | 5.29,1848,11,1 1177 | 2.099,1848,12,1 1178 | 1.941,1849,1,1 1179 | 2.638,1849,2,1 1180 | 5.3020000000000005,1849,3,1 1181 | 7.028,1849,4,1 1182 | 10.158999999999999,1849,5,1 1183 | 13.0,1849,6,1 1184 | 14.458,1849,7,1 1185 | 13.603,1849,8,1 1186 | 11.093,1849,9,1 1187 | 8.889999999999997,1849,10,1 1188 | 5.7780000000000005,1849,11,1 1189 | 1.923,1849,12,1 1190 | 0.7490000000000001,1850,1,1 1191 | 3.071,1850,2,1 1192 | 4.954,1850,3,1 1193 | 7.217,1850,4,1 1194 | 10.004,1850,5,1 1195 | 13.15,1850,6,1 1196 | 14.492,1850,7,1 1197 | 14.039,1850,8,1 1198 | 11.505,1850,9,1 1199 | 8.091000000000001,1850,10,1 1200 | 4.7330000000000005,1850,11,1 1201 | 2.803,1850,12,1 1202 | 2.431,1851,1,1 1203 | 2.508,1851,2,1 1204 | 4.192,1851,3,1 1205 | 7.286999999999999,1851,4,1 1206 | 11.113,1851,5,1 1207 | 13.418,1851,6,1 1208 | 14.531,1851,7,1 1209 | 13.751,1851,8,1 1210 | 11.677,1851,9,1 1211 | 9.122,1851,10,1 1212 | 4.973,1851,11,1 1213 | 3.14,1851,12,1 1214 | 2.3760000000000003,1852,1,1 1215 | 2.54,1852,2,1 1216 | 3.884,1852,3,1 1217 | 7.486999999999999,1852,4,1 1218 | 11.169,1852,5,1 1219 | 13.164,1852,6,1 1220 | 14.512,1852,7,1 1221 | 13.304,1852,8,1 1222 | 11.478,1852,9,1 1223 | 8.91,1852,10,1 1224 | 4.593,1852,11,1 1225 | 3.785,1852,12,1 1226 | 1.786,1853,1,1 1227 | 2.228,1853,2,1 1228 | 4.078,1853,3,1 1229 | 7.540999999999999,1853,4,1 1230 | 10.975,1853,5,1 1231 | 13.41,1853,6,1 1232 | 14.645,1853,7,1 1233 | 13.953,1853,8,1 1234 | 11.71,1853,9,1 1235 | 8.535,1853,10,1 1236 | 4.783,1853,11,1 1237 | 2.858,1853,12,1 1238 | 1.281,1854,1,1 1239 | 1.9409999999999998,1854,2,1 1240 | 4.698,1854,3,1 1241 | 7.622000000000001,1854,4,1 1242 | 11.095,1854,5,1 1243 | 12.829,1854,6,1 1244 | 14.692,1854,7,1 1245 | 13.889,1854,8,1 1246 | 11.514,1854,9,1 1247 | 9.763,1854,10,1 1248 | 5.745,1854,11,1 1249 | 3.457,1854,12,1 1250 | 2.522,1855,1,1 1251 | 2.9819999999999998,1855,2,1 1252 | 4.617,1855,3,1 1253 | 8.58,1855,4,1 1254 | 11.186,1855,5,1 1255 | 12.984000000000002,1855,6,1 1256 | 13.925999999999998,1855,7,1 1257 | 13.547,1855,8,1 1258 | 11.140999999999998,1855,9,1 1259 | 8.443999999999999,1855,10,1 1260 | 5.186,1855,11,1 1261 | 2.214,1855,12,1 1262 | 2.76,1856,1,1 1263 | 2.226,1856,2,1 1264 | 4.372,1856,3,1 1265 | 7.750999999999999,1856,4,1 1266 | 10.53,1856,5,1 1267 | 13.495999999999999,1856,6,1 1268 | 14.019,1856,7,1 1269 | 13.021,1856,8,1 1270 | 10.948,1856,9,1 1271 | 8.087,1856,10,1 1272 | 5.36,1856,11,1 1273 | 3.381,1856,12,1 1274 | 1.821,1857,1,1 1275 | 2.481,1857,2,1 1276 | 4.312,1857,3,1 1277 | 6.826999999999999,1857,4,1 1278 | 9.885,1857,5,1 1279 | 12.610999999999999,1857,6,1 1280 | 13.953,1857,7,1 1281 | 13.203,1857,8,1 1282 | 11.056,1857,9,1 1283 | 8.198,1857,10,1 1284 | 5.2360000000000015,1857,11,1 1285 | 3.515,1857,12,1 1286 | 2.739,1858,1,1 1287 | 2.2840000000000003,1858,2,1 1288 | 4.834,1858,3,1 1289 | 8.25,1858,4,1 1290 | 10.850999999999999,1858,5,1 1291 | 12.956,1858,6,1 1292 | 13.677,1858,7,1 1293 | 13.22,1858,8,1 1294 | 11.148,1858,9,1 1295 | 8.809999999999997,1858,10,1 1296 | 5.99,1858,11,1 1297 | 2.444,1858,12,1 1298 | 2.015,1859,1,1 1299 | 2.611,1859,2,1 1300 | 5.023,1859,3,1 1301 | 8.542,1859,4,1 1302 | 11.456,1859,5,1 1303 | 13.142,1859,6,1 1304 | 13.827,1859,7,1 1305 | 13.217,1859,8,1 1306 | 11.079999999999998,1859,9,1 1307 | 8.834,1859,10,1 1308 | 5.912000000000001,1859,11,1 1309 | 3.365,1859,12,1 1310 | 2.077,1860,1,1 1311 | 2.632,1860,2,1 1312 | 3.494,1860,3,1 1313 | 7.76,1860,4,1 1314 | 11.062,1860,5,1 1315 | 13.271999999999998,1860,6,1 1316 | 14.203,1860,7,1 1317 | 13.765,1860,8,1 1318 | 11.892,1860,9,1 1319 | 8.712,1860,10,1 1320 | 5.027,1860,11,1 1321 | 1.634,1860,12,1 1322 | 0.4040000000000004,1861,1,1 1323 | 2.137,1861,2,1 1324 | 4.489,1861,3,1 1325 | 7.486999999999999,1861,4,1 1326 | 10.515999999999998,1861,5,1 1327 | 13.017,1861,6,1 1328 | 13.967,1861,7,1 1329 | 13.656,1861,8,1 1330 | 11.409,1861,9,1 1331 | 8.475,1861,10,1 1332 | 5.707000000000002,1861,11,1 1333 | 2.894,1861,12,1 1334 | 0.685,1862,1,1 1335 | 1.7690000000000001,1862,2,1 1336 | 4.485,1862,3,1 1337 | 7.322999999999999,1862,4,1 1338 | 10.739,1862,5,1 1339 | 12.86,1862,6,1 1340 | 13.928,1862,7,1 1341 | 13.188,1862,8,1 1342 | 11.027999999999999,1862,9,1 1343 | 8.283,1862,10,1 1344 | 4.792,1862,11,1 1345 | 1.6230000000000002,1862,12,1 1346 | 3.0340000000000003,1863,1,1 1347 | 3.253,1863,2,1 1348 | 4.682,1863,3,1 1349 | 7.930999999999999,1863,4,1 1350 | 11.081,1863,5,1 1351 | 12.794,1863,6,1 1352 | 13.765,1863,7,1 1353 | 13.294,1863,8,1 1354 | 11.23,1863,9,1 1355 | 8.235,1863,10,1 1356 | 5.392,1863,11,1 1357 | 2.651,1863,12,1 1358 | 1.551,1864,1,1 1359 | 2.506,1864,2,1 1360 | 4.651,1864,3,1 1361 | 7.515,1864,4,1 1362 | 10.956,1864,5,1 1363 | 13.365,1864,6,1 1364 | 14.162,1864,7,1 1365 | 13.434,1864,8,1 1366 | 11.37,1864,9,1 1367 | 8.795,1864,10,1 1368 | 5.232,1864,11,1 1369 | 2.266,1864,12,1 1370 | 2.975,1865,1,1 1371 | 2.152,1865,2,1 1372 | 4.039,1865,3,1 1373 | 7.313999999999999,1865,4,1 1374 | 10.917,1865,5,1 1375 | 13.214,1865,6,1 1376 | 14.22,1865,7,1 1377 | 13.58,1865,8,1 1378 | 11.797,1865,9,1 1379 | 9.136,1865,10,1 1380 | 6.144,1865,11,1 1381 | 2.6460000000000004,1865,12,1 1382 | 2.932,1866,1,1 1383 | 2.274,1866,2,1 1384 | 4.421,1866,3,1 1385 | 7.914,1866,4,1 1386 | 10.898,1866,5,1 1387 | 12.853,1866,6,1 1388 | 14.602,1866,7,1 1389 | 13.532,1866,8,1 1390 | 11.527,1866,9,1 1391 | 8.506,1866,10,1 1392 | 5.8950000000000005,1866,11,1 1393 | 4.152,1866,12,1 1394 | 2.482,1867,1,1 1395 | 2.6639999999999997,1867,2,1 1396 | 4.4540000000000015,1867,3,1 1397 | 8.258,1867,4,1 1398 | 10.495,1867,5,1 1399 | 13.302999999999999,1867,6,1 1400 | 14.223,1867,7,1 1401 | 13.505999999999998,1867,8,1 1402 | 11.763,1867,9,1 1403 | 9.212,1867,10,1 1404 | 6.939,1867,11,1 1405 | 3.937,1867,12,1 1406 | 1.834,1868,1,1 1407 | 2.039,1868,2,1 1408 | 4.538,1868,3,1 1409 | 8.183,1868,4,1 1410 | 11.308,1868,5,1 1411 | 13.162,1868,6,1 1412 | 14.514,1868,7,1 1413 | 13.744000000000002,1868,8,1 1414 | 11.669,1868,9,1 1415 | 9.448,1868,10,1 1416 | 5.192,1868,11,1 1417 | 3.344,1868,12,1 1418 | 2.115,1869,1,1 1419 | 3.864,1869,2,1 1420 | 4.3740000000000006,1869,3,1 1421 | 7.9209999999999985,1869,4,1 1422 | 11.295,1869,5,1 1423 | 13.537,1869,6,1 1424 | 14.337,1869,7,1 1425 | 14.01,1869,8,1 1426 | 12.247,1869,9,1 1427 | 9.006,1869,10,1 1428 | 5.773,1869,11,1 1429 | 2.7060000000000004,1869,12,1 1430 | 2.082,1870,1,1 1431 | 2.1340000000000003,1870,2,1 1432 | 4.6560000000000015,1870,3,1 1433 | 7.879,1870,4,1 1434 | 11.339,1870,5,1 1435 | 13.652999999999999,1870,6,1 1436 | 14.599,1870,7,1 1437 | 13.484000000000002,1870,8,1 1438 | 11.952,1870,9,1 1439 | 8.809999999999997,1870,10,1 1440 | 5.6,1870,11,1 1441 | 2.228,1870,12,1 1442 | 1.4469999999999998,1871,1,1 1443 | 1.736,1871,2,1 1444 | 4.6850000000000005,1871,3,1 1445 | 8.34,1871,4,1 1446 | 10.787999999999998,1871,5,1 1447 | 13.08,1871,6,1 1448 | 14.29,1871,7,1 1449 | 13.932,1871,8,1 1450 | 11.710999999999999,1871,9,1 1451 | 9.096,1871,10,1 1452 | 5.113,1871,11,1 1453 | 3.1630000000000003,1871,12,1 1454 | 1.652,1872,1,1 1455 | 2.35,1872,2,1 1456 | 4.922,1872,3,1 1457 | 7.845999999999999,1872,4,1 1458 | 11.198,1872,5,1 1459 | 13.055,1872,6,1 1460 | 14.285,1872,7,1 1461 | 13.821,1872,8,1 1462 | 11.957999999999998,1872,9,1 1463 | 9.24,1872,10,1 1464 | 5.372000000000001,1872,11,1 1465 | 2.627,1872,12,1 1466 | 2.013,1873,1,1 1467 | 3.195,1873,2,1 1468 | 4.704,1873,3,1 1469 | 7.4620000000000015,1873,4,1 1470 | 11.005999999999998,1873,5,1 1471 | 13.405,1873,6,1 1472 | 14.287,1873,7,1 1473 | 13.755,1873,8,1 1474 | 11.486999999999998,1873,9,1 1475 | 9.234,1873,10,1 1476 | 5.819,1873,11,1 1477 | 3.846,1873,12,1 1478 | 2.685,1874,1,1 1479 | 3.069,1874,2,1 1480 | 4.221,1874,3,1 1481 | 8.231,1874,4,1 1482 | 11.306,1874,5,1 1483 | 13.306,1874,6,1 1484 | 14.122,1874,7,1 1485 | 13.815,1874,8,1 1486 | 12.110999999999999,1874,9,1 1487 | 9.12,1874,10,1 1488 | 5.809,1874,11,1 1489 | 3.407,1874,12,1 1490 | 1.5330000000000001,1875,1,1 1491 | 2.259,1875,2,1 1492 | 4.256,1875,3,1 1493 | 7.635999999999999,1875,4,1 1494 | 10.745999999999999,1875,5,1 1495 | 13.157,1875,6,1 1496 | 14.144,1875,7,1 1497 | 13.401,1875,8,1 1498 | 11.319,1875,9,1 1499 | 8.584999999999999,1875,10,1 1500 | 4.614,1875,11,1 1501 | 2.665,1875,12,1 1502 | 1.8559999999999999,1876,1,1 1503 | 2.617,1876,2,1 1504 | 4.748,1876,3,1 1505 | 8.199,1876,4,1 1506 | 10.69,1876,5,1 1507 | 13.130999999999998,1876,6,1 1508 | 14.319,1876,7,1 1509 | 13.481,1876,8,1 1510 | 11.687,1876,9,1 1511 | 8.946,1876,10,1 1512 | 5.093,1876,11,1 1513 | 2.194,1876,12,1 1514 | 2.286,1877,1,1 1515 | 2.928,1877,2,1 1516 | 5.2970000000000015,1877,3,1 1517 | 8.039,1877,4,1 1518 | 11.056,1877,5,1 1519 | 13.384,1877,6,1 1520 | 14.642,1877,7,1 1521 | 14.151,1877,8,1 1522 | 12.075,1877,9,1 1523 | 9.273,1877,10,1 1524 | 6.348,1877,11,1 1525 | 2.9960000000000004,1877,12,1 1526 | 2.0170000000000003,1878,1,1 1527 | 3.728,1878,2,1 1528 | 6.6080000000000005,1878,3,1 1529 | 8.899,1878,4,1 1530 | 11.017,1878,5,1 1531 | 13.796,1878,6,1 1532 | 14.742,1878,7,1 1533 | 14.094,1878,8,1 1534 | 12.093,1878,9,1 1535 | 9.173,1878,10,1 1536 | 6.4460000000000015,1878,11,1 1537 | 3.344,1878,12,1 1538 | 2.303,1879,1,1 1539 | 2.737,1879,2,1 1540 | 4.924,1879,3,1 1541 | 7.767999999999999,1879,4,1 1542 | 10.802999999999999,1879,5,1 1543 | 13.23,1879,6,1 1544 | 14.238,1879,7,1 1545 | 13.245,1879,8,1 1546 | 11.449000000000002,1879,9,1 1547 | 9.229,1879,10,1 1548 | 5.526,1879,11,1 1549 | 2.5380000000000003,1879,12,1 1550 | 1.755,1880,1,1 1551 | 2.052,1880,2,1 1552 | 4.63,1880,3,1 1553 | 7.5589999999999975,1880,4,1 1554 | 11.095999999999998,1880,5,1 1555 | 13.327,1880,6,1 1556 | 14.140999999999998,1880,7,1 1557 | 13.807,1880,8,1 1558 | 11.386,1880,9,1 1559 | 8.673,1880,10,1 1560 | 5.893,1880,11,1 1561 | 3.1060000000000003,1880,12,1 1562 | 2.4610000000000003,1881,1,1 1563 | 2.6260000000000003,1881,2,1 1564 | 5.01,1881,3,1 1565 | 8.322999999999999,1881,4,1 1566 | 11.165,1881,5,1 1567 | 12.745,1881,6,1 1568 | 14.203,1881,7,1 1569 | 13.71,1881,8,1 1570 | 11.689,1881,9,1 1571 | 8.850999999999997,1881,10,1 1572 | 5.272,1881,11,1 1573 | 3.196,1881,12,1 1574 | 2.99,1882,1,1 1575 | 3.2310000000000003,1882,2,1 1576 | 5.04,1882,3,1 1577 | 7.690999999999999,1882,4,1 1578 | 10.888,1882,5,1 1579 | 12.805,1882,6,1 1580 | 13.747,1882,7,1 1581 | 13.703,1882,8,1 1582 | 11.735999999999999,1882,9,1 1583 | 8.445,1882,10,1 1584 | 5.066,1882,11,1 1585 | 2.205,1882,12,1 1586 | 1.4600000000000002,1883,1,1 1587 | 1.8559999999999999,1883,2,1 1588 | 4.9289999999999985,1883,3,1 1589 | 7.690999999999999,1883,4,1 1590 | 10.832,1883,5,1 1591 | 13.302,1883,6,1 1592 | 14.011,1883,7,1 1593 | 13.224,1883,8,1 1594 | 11.343,1883,9,1 1595 | 8.908999999999997,1883,10,1 1596 | 4.905,1883,11,1 1597 | 3.261,1883,12,1 1598 | 2.12,1884,1,1 1599 | 2.474,1884,2,1 1600 | 3.892,1884,3,1 1601 | 7.185999999999999,1884,4,1 1602 | 10.198,1884,5,1 1603 | 12.527,1884,6,1 1604 | 13.622,1884,7,1 1605 | 13.257,1884,8,1 1606 | 11.235,1884,9,1 1607 | 8.581,1884,10,1 1608 | 5.164,1884,11,1 1609 | 3.028,1884,12,1 1610 | 1.003,1885,1,1 1611 | 2.2430000000000003,1885,2,1 1612 | 4.622,1885,3,1 1613 | 7.3359999999999985,1885,4,1 1614 | 10.567,1885,5,1 1615 | 12.716,1885,6,1 1616 | 13.972,1885,7,1 1617 | 13.350999999999999,1885,8,1 1618 | 11.435,1885,9,1 1619 | 8.722000000000001,1885,10,1 1620 | 5.425,1885,11,1 1621 | 3.644,1885,12,1 1622 | 1.436,1886,1,1 1623 | 1.7930000000000001,1886,2,1 1624 | 4.2620000000000005,1886,3,1 1625 | 7.909,1886,4,1 1626 | 10.784,1886,5,1 1627 | 12.789,1886,6,1 1628 | 14.226,1886,7,1 1629 | 13.323,1886,8,1 1630 | 11.6,1886,9,1 1631 | 8.604,1886,10,1 1632 | 5.226,1886,11,1 1633 | 3.502,1886,12,1 1634 | 0.8240000000000001,1887,1,1 1635 | 2.0540000000000003,1887,2,1 1636 | 4.552,1887,3,1 1637 | 7.789,1887,4,1 1638 | 10.84,1887,5,1 1639 | 12.89,1887,6,1 1640 | 14.021,1887,7,1 1641 | 13.097,1887,8,1 1642 | 11.707,1887,9,1 1643 | 8.738,1887,10,1 1644 | 5.5920000000000005,1887,11,1 1645 | 2.875,1887,12,1 1646 | 1.7080000000000002,1888,1,1 1647 | 2.039,1888,2,1 1648 | 4.3,1888,3,1 1649 | 7.845,1888,4,1 1650 | 10.62,1888,5,1 1651 | 12.921,1888,6,1 1652 | 14.242,1888,7,1 1653 | 13.511,1888,8,1 1654 | 11.685,1888,9,1 1655 | 9.201,1888,10,1 1656 | 5.792000000000002,1888,11,1 1657 | 3.222,1888,12,1 1658 | 1.7619999999999998,1889,1,1 1659 | 3.409,1889,2,1 1660 | 5.299,1889,3,1 1661 | 8.588999999999999,1889,4,1 1662 | 11.242,1889,5,1 1663 | 13.288,1889,6,1 1664 | 14.225,1889,7,1 1665 | 13.504,1889,8,1 1666 | 11.547,1889,9,1 1667 | 8.865,1889,10,1 1668 | 4.9990000000000006,1889,11,1 1669 | 3.0989999999999998,1889,12,1 1670 | 1.836,1890,1,1 1671 | 2.516,1890,2,1 1672 | 4.21,1890,3,1 1673 | 7.738999999999999,1890,4,1 1674 | 10.464,1890,5,1 1675 | 12.872,1890,6,1 1676 | 14.034,1890,7,1 1677 | 13.265999999999998,1890,8,1 1678 | 11.546,1890,9,1 1679 | 9.177999999999999,1890,10,1 1680 | 5.03,1890,11,1 1681 | 2.969,1890,12,1 1682 | 1.6780000000000002,1891,1,1 1683 | 1.88,1891,2,1 1684 | 4.755,1891,3,1 1685 | 7.6179999999999986,1891,4,1 1686 | 10.785,1891,5,1 1687 | 12.888,1891,6,1 1688 | 13.93,1891,7,1 1689 | 13.496,1891,8,1 1690 | 11.763,1891,9,1 1691 | 8.722000000000001,1891,10,1 1692 | 5.115,1891,11,1 1693 | 3.602,1891,12,1 1694 | 2.018,1892,1,1 1695 | 2.805,1892,2,1 1696 | 4.362,1892,3,1 1697 | 7.5619999999999985,1892,4,1 1698 | 10.622,1892,5,1 1699 | 13.263,1892,6,1 1700 | 13.89,1892,7,1 1701 | 13.42,1892,8,1 1702 | 11.764,1892,9,1 1703 | 9.29,1892,10,1 1704 | 4.859,1892,11,1 1705 | 2.935,1892,12,1 1706 | 0.5,1893,1,1 1707 | 1.654,1893,2,1 1708 | 4.979,1893,3,1 1709 | 7.994,1893,4,1 1710 | 10.747,1893,5,1 1711 | 13.050999999999998,1893,6,1 1712 | 14.318,1893,7,1 1713 | 13.454,1893,8,1 1714 | 11.767,1893,9,1 1715 | 9.16,1893,10,1 1716 | 5.902,1893,11,1 1717 | 3.155,1893,12,1 1718 | 1.6909999999999998,1894,1,1 1719 | 2.923,1894,2,1 1720 | 5.118,1894,3,1 1721 | 7.6629999999999985,1894,4,1 1722 | 10.944,1894,5,1 1723 | 12.857999999999999,1894,6,1 1724 | 14.004,1894,7,1 1725 | 13.488,1894,8,1 1726 | 11.579999999999998,1894,9,1 1727 | 9.125,1894,10,1 1728 | 5.405,1894,11,1 1729 | 3.133,1894,12,1 1730 | 1.2950000000000002,1895,1,1 1731 | 2.0,1895,2,1 1732 | 4.689,1895,3,1 1733 | 8.247,1895,4,1 1734 | 10.867,1895,5,1 1735 | 13.058,1895,6,1 1736 | 14.053,1895,7,1 1737 | 13.489,1895,8,1 1738 | 11.743,1895,9,1 1739 | 9.117,1895,10,1 1740 | 5.744,1895,11,1 1741 | 3.4619999999999997,1895,12,1 1742 | 2.291,1896,1,1 1743 | 2.707,1896,2,1 1744 | 4.279,1896,3,1 1745 | 7.329999999999999,1896,4,1 1746 | 10.892999999999999,1896,5,1 1747 | 13.303999999999998,1896,6,1 1748 | 14.233,1896,7,1 1749 | 13.624,1896,8,1 1750 | 11.824000000000002,1896,9,1 1751 | 9.416,1896,10,1 1752 | 5.3660000000000005,1896,11,1 1753 | 3.312,1896,12,1 1754 | 1.893,1897,1,1 1755 | 2.4290000000000003,1897,2,1 1756 | 4.345,1897,3,1 1757 | 8.277999999999999,1897,4,1 1758 | 11.377,1897,5,1 1759 | 13.319,1897,6,1 1760 | 14.31,1897,7,1 1761 | 13.668,1897,8,1 1762 | 11.925,1897,9,1 1763 | 9.197,1897,10,1 1764 | 5.6080000000000005,1897,11,1 1765 | 3.1710000000000003,1897,12,1 1766 | 2.737,1898,1,1 1767 | 2.354,1898,2,1 1768 | 3.7510000000000003,1898,3,1 1769 | 7.906999999999999,1898,4,1 1770 | 10.835,1898,5,1 1771 | 13.395,1898,6,1 1772 | 14.138,1898,7,1 1773 | 13.579,1898,8,1 1774 | 11.752999999999998,1898,9,1 1775 | 8.828,1898,10,1 1776 | 5.452000000000001,1898,11,1 1777 | 3.407,1898,12,1 1778 | 2.515,1899,1,1 1779 | 2.38,1899,2,1 1780 | 4.618,1899,3,1 1781 | 8.280999999999999,1899,4,1 1782 | 11.023,1899,5,1 1783 | 12.856,1899,6,1 1784 | 14.159,1899,7,1 1785 | 13.777,1899,8,1 1786 | 12.127999999999998,1899,9,1 1787 | 9.408999999999999,1899,10,1 1788 | 6.605,1899,11,1 1789 | 3.005,1899,12,1 1790 | 1.461,1900,1,1 1791 | 3.0980000000000003,1900,2,1 1792 | 5.492000000000001,1900,3,1 1793 | 8.222999999999999,1900,4,1 1794 | 11.385,1900,5,1 1795 | 13.293,1900,6,1 1796 | 14.171,1900,7,1 1797 | 13.816,1900,8,1 1798 | 11.955,1900,9,1 1799 | 9.666,1900,10,1 1800 | 5.8039999999999985,1900,11,1 1801 | 3.655,1900,12,1 1802 | 2.1910000000000003,1901,1,1 1803 | 3.092,1901,2,1 1804 | 5.671,1901,3,1 1805 | 8.522,1901,4,1 1806 | 11.177999999999999,1901,5,1 1807 | 13.423,1901,6,1 1808 | 14.339,1901,7,1 1809 | 13.789,1901,8,1 1810 | 11.984000000000002,1901,9,1 1811 | 9.003,1901,10,1 1812 | 5.976,1901,11,1 1813 | 3.335,1901,12,1 1814 | 2.684,1902,1,1 1815 | 3.606,1902,2,1 1816 | 4.883,1902,3,1 1817 | 7.955999999999999,1902,4,1 1818 | 10.892999999999999,1902,5,1 1819 | 13.214,1902,6,1 1820 | 14.231,1902,7,1 1821 | 13.599,1902,8,1 1822 | 11.799,1902,9,1 1823 | 8.801,1902,10,1 1824 | 5.274,1902,11,1 1825 | 2.713,1902,12,1 1826 | 2.5140000000000002,1903,1,1 1827 | 3.555,1903,2,1 1828 | 4.93,1903,3,1 1829 | 7.831999999999999,1903,4,1 1830 | 10.794,1903,5,1 1831 | 12.886,1903,6,1 1832 | 13.992,1903,7,1 1833 | 13.412,1903,8,1 1834 | 11.501,1903,9,1 1835 | 8.812000000000003,1903,10,1 1836 | 5.516,1903,11,1 1837 | 2.898,1903,12,1 1838 | 1.6369999999999998,1904,1,1 1839 | 2.297,1904,2,1 1840 | 4.506,1904,3,1 1841 | 7.6839999999999975,1904,4,1 1842 | 10.84,1904,5,1 1843 | 13.014,1904,6,1 1844 | 13.836,1904,7,1 1845 | 13.459,1904,8,1 1846 | 11.380999999999998,1904,9,1 1847 | 8.833,1904,10,1 1848 | 6.23,1904,11,1 1849 | 3.3739999999999997,1904,12,1 1850 | 2.254,1905,1,1 1851 | 1.9269999999999998,1905,2,1 1852 | 4.635,1905,3,1 1853 | 7.754999999999999,1905,4,1 1854 | 10.982,1905,5,1 1855 | 13.112,1905,6,1 1856 | 14.077,1905,7,1 1857 | 13.578,1905,8,1 1858 | 11.803999999999998,1905,9,1 1859 | 9.041,1905,10,1 1860 | 6.183,1905,11,1 1861 | 3.354,1905,12,1 1862 | 2.068,1906,1,1 1863 | 2.301,1906,2,1 1864 | 4.8660000000000005,1906,3,1 1865 | 8.626,1906,4,1 1866 | 11.239999999999998,1906,5,1 1867 | 13.334,1906,6,1 1868 | 14.122,1906,7,1 1869 | 13.691,1906,8,1 1870 | 11.771999999999998,1906,9,1 1871 | 9.267,1906,10,1 1872 | 5.501,1906,11,1 1873 | 3.761,1906,12,1 1874 | 1.798,1907,1,1 1875 | 2.117,1907,2,1 1876 | 4.575,1907,3,1 1877 | 7.579,1907,4,1 1878 | 10.375,1907,5,1 1879 | 12.729,1907,6,1 1880 | 13.769,1907,7,1 1881 | 13.362,1907,8,1 1882 | 11.665,1907,9,1 1883 | 9.234,1907,10,1 1884 | 5.207000000000002,1907,11,1 1885 | 2.9560000000000004,1907,12,1 1886 | 2.3040000000000003,1908,1,1 1887 | 2.769,1908,2,1 1888 | 4.136,1908,3,1 1889 | 7.831999999999999,1908,4,1 1890 | 11.140999999999998,1908,5,1 1891 | 13.293,1908,6,1 1892 | 14.197000000000001,1908,7,1 1893 | 13.376,1908,8,1 1894 | 11.977,1908,9,1 1895 | 8.865,1908,10,1 1896 | 5.272,1908,11,1 1897 | 3.071,1908,12,1 1898 | 1.395,1909,1,1 1899 | 2.7060000000000004,1909,2,1 1900 | 4.589,1909,3,1 1901 | 7.534,1909,4,1 1902 | 10.610999999999999,1909,5,1 1903 | 12.962,1909,6,1 1904 | 14.06,1909,7,1 1905 | 13.752,1909,8,1 1906 | 11.879,1909,9,1 1907 | 9.192,1909,10,1 1908 | 6.2360000000000015,1909,11,1 1909 | 3.2230000000000003,1909,12,1 1910 | 2.333,1910,1,1 1911 | 2.779,1910,2,1 1912 | 4.606,1910,3,1 1913 | 8.104999999999999,1910,4,1 1914 | 11.005,1910,5,1 1915 | 13.151,1910,6,1 1916 | 14.279000000000002,1910,7,1 1917 | 13.677,1910,8,1 1918 | 11.732999999999999,1910,9,1 1919 | 9.006,1910,10,1 1920 | 5.318,1910,11,1 1921 | 2.684,1910,12,1 1922 | 1.66,1911,1,1 1923 | 2.4530000000000003,1911,2,1 1924 | 4.347,1911,3,1 1925 | 7.9899999999999975,1911,4,1 1926 | 10.829,1911,5,1 1927 | 13.009,1911,6,1 1928 | 14.082,1911,7,1 1929 | 13.499,1911,8,1 1930 | 11.638,1911,9,1 1931 | 9.263,1911,10,1 1932 | 5.964,1911,11,1 1933 | 3.39,1911,12,1 1934 | 2.402,1912,1,1 1935 | 3.354,1912,2,1 1936 | 4.356,1912,3,1 1937 | 8.229,1912,4,1 1938 | 11.254,1912,5,1 1939 | 13.435,1912,6,1 1940 | 13.723,1912,7,1 1941 | 13.053,1912,8,1 1942 | 11.222,1912,9,1 1943 | 8.366999999999999,1912,10,1 1944 | 5.521,1912,11,1 1945 | 3.069,1912,12,1 1946 | 2.083,1913,1,1 1947 | 2.376,1913,2,1 1948 | 4.517,1913,3,1 1949 | 8.023,1913,4,1 1950 | 10.745,1913,5,1 1951 | 13.005,1913,6,1 1952 | 14.137,1913,7,1 1953 | 13.724,1913,8,1 1954 | 11.759,1913,9,1 1955 | 9.077,1913,10,1 1956 | 6.024,1913,11,1 1957 | 4.103,1913,12,1 1958 | 3.3760000000000003,1914,1,1 1959 | 3.2,1914,2,1 1960 | 4.942,1914,3,1 1961 | 8.097999999999999,1914,4,1 1962 | 11.284999999999998,1914,5,1 1963 | 13.495999999999999,1914,6,1 1964 | 14.298,1914,7,1 1965 | 13.73,1914,8,1 1966 | 11.915,1914,9,1 1967 | 9.387,1914,10,1 1968 | 5.759,1914,11,1 1969 | 3.6,1914,12,1 1970 | 2.299,1915,1,1 1971 | 3.265,1915,2,1 1972 | 5.143,1915,3,1 1973 | 8.705,1915,4,1 1974 | 11.493,1915,5,1 1975 | 13.3,1915,6,1 1976 | 14.443,1915,7,1 1977 | 13.77,1915,8,1 1978 | 11.867,1915,9,1 1979 | 8.984,1915,10,1 1980 | 6.216,1915,11,1 1981 | 3.633,1915,12,1 1982 | 2.616,1916,1,1 1983 | 2.957,1916,2,1 1984 | 4.846,1916,3,1 1985 | 8.046999999999999,1916,4,1 1986 | 10.972,1916,5,1 1987 | 12.942,1916,6,1 1988 | 14.052,1916,7,1 1989 | 13.58,1916,8,1 1990 | 11.725999999999999,1916,9,1 1991 | 9.052999999999999,1916,10,1 1992 | 5.596,1916,11,1 1993 | 2.316,1916,12,1 1994 | 2.133,1917,1,1 1995 | 2.36,1917,2,1 1996 | 4.488,1917,3,1 1997 | 7.854999999999999,1917,4,1 1998 | 10.443,1917,5,1 1999 | 12.915,1917,6,1 2000 | 14.259,1917,7,1 2001 | 13.470999999999998,1917,8,1 2002 | 11.745,1917,9,1 2003 | 8.544,1917,10,1 2004 | 5.82,1917,11,1 2005 | 2.247,1917,12,1 2006 | 1.9340000000000002,1918,1,1 2007 | 2.455,1918,2,1 2008 | 4.811,1918,3,1 2009 | 7.643999999999999,1918,4,1 2010 | 10.54,1918,5,1 2011 | 12.908,1918,6,1 2012 | 14.002,1918,7,1 2013 | 13.431,1918,8,1 2014 | 11.880999999999998,1918,9,1 2015 | 9.433,1918,10,1 2016 | 5.683,1918,11,1 2017 | 2.8480000000000003,1918,12,1 2018 | 2.184,1919,1,1 2019 | 2.852,1919,2,1 2020 | 4.743,1919,3,1 2021 | 8.487,1919,4,1 2022 | 10.969,1919,5,1 2023 | 13.228,1919,6,1 2024 | 14.274000000000001,1919,7,1 2025 | 13.786,1919,8,1 2026 | 11.989999999999998,1919,9,1 2027 | 9.361,1919,10,1 2028 | 5.489,1919,11,1 2029 | 3.2239999999999998,1919,12,1 2030 | 2.841,1920,1,1 2031 | 2.755,1920,2,1 2032 | 5.227,1920,3,1 2033 | 8.293,1920,4,1 2034 | 11.130999999999998,1920,5,1 2035 | 13.105,1920,6,1 2036 | 14.245,1920,7,1 2037 | 13.698,1920,8,1 2038 | 11.794,1920,9,1 2039 | 9.021,1920,10,1 2040 | 5.566,1920,11,1 2041 | 2.629,1920,12,1 2042 | 2.98,1921,1,1 2043 | 3.125,1921,2,1 2044 | 5.081,1921,3,1 2045 | 8.324,1921,4,1 2046 | 11.245,1921,5,1 2047 | 13.44,1921,6,1 2048 | 14.436,1921,7,1 2049 | 13.561,1921,8,1 2050 | 11.869000000000002,1921,9,1 2051 | 9.264,1921,10,1 2052 | 5.864,1921,11,1 2053 | 3.663,1921,12,1 2054 | 2.15,1922,1,1 2055 | 2.376,1922,2,1 2056 | 5.1560000000000015,1922,3,1 2057 | 8.379999999999999,1922,4,1 2058 | 11.097,1922,5,1 2059 | 13.331,1922,6,1 2060 | 14.278,1922,7,1 2061 | 13.584,1922,8,1 2062 | 11.775,1922,9,1 2063 | 9.056,1922,10,1 2064 | 6.046,1922,11,1 2065 | 3.667,1922,12,1 2066 | 2.487,1923,1,1 2067 | 2.563,1923,2,1 2068 | 4.8660000000000005,1923,3,1 2069 | 7.749,1923,4,1 2070 | 10.848999999999998,1923,5,1 2071 | 13.296,1923,6,1 2072 | 13.984000000000002,1923,7,1 2073 | 13.611,1923,8,1 2074 | 11.883,1923,9,1 2075 | 9.52,1923,10,1 2076 | 6.377999999999999,1923,11,1 2077 | 3.88,1923,12,1 2078 | 2.339,1924,1,1 2079 | 2.888,1924,2,1 2080 | 5.352,1924,3,1 2081 | 7.97,1924,4,1 2082 | 11.187999999999999,1924,5,1 2083 | 13.342,1924,6,1 2084 | 14.304,1924,7,1 2085 | 13.654000000000002,1924,8,1 2086 | 11.957,1924,9,1 2087 | 9.203,1924,10,1 2088 | 6.4,1924,11,1 2089 | 3.485,1924,12,1 2090 | 2.2680000000000002,1925,1,1 2091 | 2.701,1925,2,1 2092 | 5.126,1925,3,1 2093 | 8.442,1925,4,1 2094 | 11.039,1925,5,1 2095 | 13.089,1925,6,1 2096 | 14.066,1925,7,1 2097 | 13.769,1925,8,1 2098 | 11.979,1925,9,1 2099 | 9.196,1925,10,1 2100 | 6.34,1925,11,1 2101 | 4.398,1925,12,1 2102 | 3.4530000000000003,1926,1,1 2103 | 3.717,1926,2,1 2104 | 5.831,1926,3,1 2105 | 8.193,1926,4,1 2106 | 10.931,1926,5,1 2107 | 13.285,1926,6,1 2108 | 14.168,1926,7,1 2109 | 13.877,1926,8,1 2110 | 12.075,1926,9,1 2111 | 9.55,1926,10,1 2112 | 6.3,1926,11,1 2113 | 3.366,1926,12,1 2114 | 2.372,1927,1,1 2115 | 3.039,1927,2,1 2116 | 4.668,1927,3,1 2117 | 8.035,1927,4,1 2118 | 11.104,1927,5,1 2119 | 13.271999999999998,1927,6,1 2120 | 14.323,1927,7,1 2121 | 13.698,1927,8,1 2122 | 12.254,1927,9,1 2123 | 9.887,1927,10,1 2124 | 6.346,1927,11,1 2125 | 3.267,1927,12,1 2126 | 3.0460000000000003,1928,1,1 2127 | 3.333,1928,2,1 2128 | 4.959,1928,3,1 2129 | 8.244,1928,4,1 2130 | 11.169,1928,5,1 2131 | 13.113,1928,6,1 2132 | 14.31,1928,7,1 2133 | 13.687,1928,8,1 2134 | 12.03,1928,9,1 2135 | 9.486,1928,10,1 2136 | 6.336,1928,11,1 2137 | 3.873,1928,12,1 2138 | 2.0540000000000003,1929,1,1 2139 | 2.1719999999999997,1929,2,1 2140 | 5.099,1929,3,1 2141 | 8.094,1929,4,1 2142 | 10.915,1929,5,1 2143 | 12.927999999999999,1929,6,1 2144 | 13.957,1929,7,1 2145 | 13.68,1929,8,1 2146 | 11.807,1929,9,1 2147 | 9.46,1929,10,1 2148 | 6.1720000000000015,1929,11,1 2149 | 2.571,1929,12,1 2150 | 2.401,1930,1,1 2151 | 3.152,1930,2,1 2152 | 5.483,1930,3,1 2153 | 8.181999999999999,1930,4,1 2154 | 11.105,1930,5,1 2155 | 13.347,1930,6,1 2156 | 14.465,1930,7,1 2157 | 13.927999999999999,1930,8,1 2158 | 11.874,1930,9,1 2159 | 9.261,1930,10,1 2160 | 6.574,1930,11,1 2161 | 3.831,1930,12,1 2162 | 2.761,1931,1,1 2163 | 2.708,1931,2,1 2164 | 5.22,1931,3,1 2165 | 8.163,1931,4,1 2166 | 11.02,1931,5,1 2167 | 13.573,1931,6,1 2168 | 14.576,1931,7,1 2169 | 14.12,1931,8,1 2170 | 12.283,1931,9,1 2171 | 9.937,1931,10,1 2172 | 6.2429999999999986,1931,11,1 2173 | 4.027,1931,12,1 2174 | 3.604,1932,1,1 2175 | 2.989,1932,2,1 2176 | 4.94,1932,3,1 2177 | 8.769,1932,4,1 2178 | 11.239,1932,5,1 2179 | 13.383,1932,6,1 2180 | 14.372,1932,7,1 2181 | 13.74,1932,8,1 2182 | 12.31,1932,9,1 2183 | 9.682,1932,10,1 2184 | 5.908,1932,11,1 2185 | 3.5269999999999997,1932,12,1 2186 | 2.169,1933,1,1 2187 | 2.657,1933,2,1 2188 | 4.869,1933,3,1 2189 | 8.125,1933,4,1 2190 | 11.047,1933,5,1 2191 | 13.11,1933,6,1 2192 | 14.236,1933,7,1 2193 | 13.76,1933,8,1 2194 | 11.854,1933,9,1 2195 | 9.238,1933,10,1 2196 | 5.89,1933,11,1 2197 | 3.104,1933,12,1 2198 | 2.476,1934,1,1 2199 | 3.699,1934,2,1 2200 | 4.8180000000000005,1934,3,1 2201 | 8.016,1934,4,1 2202 | 11.478,1934,5,1 2203 | 13.402,1934,6,1 2204 | 14.343,1934,7,1 2205 | 13.778,1934,8,1 2206 | 11.727,1934,9,1 2207 | 9.421,1934,10,1 2208 | 6.397,1934,11,1 2209 | 3.985,1934,12,1 2210 | 2.1750000000000003,1935,1,1 2211 | 4.125,1935,2,1 2212 | 5.399,1935,3,1 2213 | 7.770999999999999,1935,4,1 2214 | 10.905999999999999,1935,5,1 2215 | 13.325999999999999,1935,6,1 2216 | 14.331,1935,7,1 2217 | 13.775,1935,8,1 2218 | 11.999,1935,9,1 2219 | 9.516,1935,10,1 2220 | 5.443,1935,11,1 2221 | 3.423,1935,12,1 2222 | 2.249,1936,1,1 2223 | 2.506,1936,2,1 2224 | 5.0310000000000015,1936,3,1 2225 | 8.126999999999999,1936,4,1 2226 | 11.251,1936,5,1 2227 | 13.363,1936,6,1 2228 | 14.629,1936,7,1 2229 | 13.86,1936,8,1 2230 | 12.020999999999999,1936,9,1 2231 | 9.457,1936,10,1 2232 | 6.2330000000000005,1936,11,1 2233 | 3.921,1936,12,1 2234 | 2.4530000000000003,1937,1,1 2235 | 3.553,1937,2,1 2236 | 4.851,1937,3,1 2237 | 8.139999999999999,1937,4,1 2238 | 11.422,1937,5,1 2239 | 13.603,1937,6,1 2240 | 14.375,1937,7,1 2241 | 14.007,1937,8,1 2242 | 12.412999999999998,1937,9,1 2243 | 9.729,1937,10,1 2244 | 6.356,1937,11,1 2245 | 3.478,1937,12,1 2246 | 2.91,1938,1,1 2247 | 3.417,1938,2,1 2248 | 5.651,1938,3,1 2249 | 8.913,1938,4,1 2250 | 11.456,1938,5,1 2251 | 13.321,1938,6,1 2252 | 14.482,1938,7,1 2253 | 13.963,1938,8,1 2254 | 12.427,1938,9,1 2255 | 9.783999999999999,1938,10,1 2256 | 6.53,1938,11,1 2257 | 3.51,1938,12,1 2258 | 2.932,1939,1,1 2259 | 3.2319999999999998,1939,2,1 2260 | 4.926,1939,3,1 2261 | 8.328,1939,4,1 2262 | 11.524,1939,5,1 2263 | 13.530999999999999,1939,6,1 2264 | 14.395,1939,7,1 2265 | 13.932,1939,8,1 2266 | 11.957999999999998,1939,9,1 2267 | 9.218,1939,10,1 2268 | 6.189,1939,11,1 2269 | 4.959,1939,12,1 2270 | 2.335,1940,1,1 2271 | 3.423,1940,2,1 2272 | 5.424,1940,3,1 2273 | 8.756,1940,4,1 2274 | 11.338,1940,5,1 2275 | 13.583,1940,6,1 2276 | 14.571,1940,7,1 2277 | 13.811,1940,8,1 2278 | 12.267999999999999,1940,9,1 2279 | 9.457,1940,10,1 2280 | 6.0760000000000005,1940,11,1 2281 | 4.134,1940,12,1 2282 | 2.7350000000000003,1941,1,1 2283 | 3.67,1941,2,1 2284 | 5.212999999999999,1941,3,1 2285 | 8.575,1941,4,1 2286 | 11.493,1941,5,1 2287 | 13.63,1941,6,1 2288 | 14.694,1941,7,1 2289 | 14.028,1941,8,1 2290 | 11.815999999999999,1941,9,1 2291 | 9.71,1941,10,1 2292 | 5.9529999999999985,1941,11,1 2293 | 3.707,1941,12,1 2294 | 3.103,1942,1,1 2295 | 2.857,1942,2,1 2296 | 5.308,1942,3,1 2297 | 8.415999999999999,1942,4,1 2298 | 11.338,1942,5,1 2299 | 13.578,1942,6,1 2300 | 14.242,1942,7,1 2301 | 13.786,1942,8,1 2302 | 12.145999999999999,1942,9,1 2303 | 9.627,1942,10,1 2304 | 6.3950000000000005,1942,11,1 2305 | 3.945,1942,12,1 2306 | 2.396,1943,1,1 2307 | 3.513,1943,2,1 2308 | 5.138,1943,3,1 2309 | 8.638,1943,4,1 2310 | 11.485,1943,5,1 2311 | 13.161,1943,6,1 2312 | 14.46,1943,7,1 2313 | 13.774,1943,8,1 2314 | 12.095999999999998,1943,9,1 2315 | 9.907,1943,10,1 2316 | 6.26,1943,11,1 2317 | 4.2330000000000005,1943,12,1 2318 | 3.504,1944,1,1 2319 | 3.591,1944,2,1 2320 | 5.5310000000000015,1944,3,1 2321 | 8.434,1944,4,1 2322 | 11.334,1944,5,1 2323 | 13.478,1944,6,1 2324 | 14.468,1944,7,1 2325 | 14.017,1944,8,1 2326 | 12.45,1944,9,1 2327 | 9.808,1944,10,1 2328 | 6.091,1944,11,1 2329 | 3.4339999999999997,1944,12,1 2330 | 2.525,1945,1,1 2331 | 2.6460000000000004,1945,2,1 2332 | 5.184,1945,3,1 2333 | 8.681000000000001,1945,4,1 2334 | 11.097,1945,5,1 2335 | 13.328,1945,6,1 2336 | 14.213,1945,7,1 2337 | 14.313,1945,8,1 2338 | 12.225,1945,9,1 2339 | 9.575,1945,10,1 2340 | 6.073,1945,11,1 2341 | 3.158,1945,12,1 2342 | 2.979,1946,1,1 2343 | 3.4610000000000003,1946,2,1 2344 | 5.2360000000000015,1946,3,1 2345 | 8.837,1946,4,1 2346 | 11.355,1946,5,1 2347 | 13.298,1946,6,1 2348 | 14.409,1946,7,1 2349 | 13.834,1946,8,1 2350 | 12.064,1946,9,1 2351 | 9.281,1946,10,1 2352 | 6.235,1946,11,1 2353 | 3.134,1946,12,1 2354 | 2.597,1947,1,1 2355 | 3.277,1947,2,1 2356 | 5.801,1947,3,1 2357 | 8.686,1947,4,1 2358 | 11.329,1947,5,1 2359 | 13.459,1947,6,1 2360 | 14.349,1947,7,1 2361 | 13.827,1947,8,1 2362 | 12.165999999999999,1947,9,1 2363 | 10.011,1947,10,1 2364 | 6.407,1947,11,1 2365 | 3.656,1947,12,1 2366 | 3.366,1948,1,1 2367 | 3.22,1948,2,1 2368 | 4.9190000000000005,1948,3,1 2369 | 8.498999999999999,1948,4,1 2370 | 11.537,1948,5,1 2371 | 13.664,1948,6,1 2372 | 14.445,1948,7,1 2373 | 13.896,1948,8,1 2374 | 12.155,1948,9,1 2375 | 9.584,1948,10,1 2376 | 6.1850000000000005,1948,11,1 2377 | 3.491,1948,12,1 2378 | 3.2190000000000003,1949,1,1 2379 | 2.759,1949,2,1 2380 | 5.077,1949,3,1 2381 | 8.344,1949,4,1 2382 | 11.309,1949,5,1 2383 | 13.222999999999999,1949,6,1 2384 | 14.199000000000002,1949,7,1 2385 | 13.826,1949,8,1 2386 | 11.957,1949,9,1 2387 | 9.531,1949,10,1 2388 | 6.148,1949,11,1 2389 | 3.449,1949,12,1 2390 | 2.008,1950,1,1 2391 | 2.721,1950,2,1 2392 | 5.247000000000001,1950,3,1 2393 | 8.123,1950,4,1 2394 | 11.297,1950,5,1 2395 | 13.382,1950,6,1 2396 | 14.14,1950,7,1 2397 | 13.46,1950,8,1 2398 | 11.952,1950,9,1 2399 | 9.152999999999999,1950,10,1 2400 | 5.372000000000001,1950,11,1 2401 | 3.528,1950,12,1 2402 | 2.138,1951,1,1 2403 | 2.332,1951,2,1 2404 | 5.091,1951,3,1 2405 | 8.366999999999999,1951,4,1 2406 | 11.437999999999999,1951,5,1 2407 | 13.25,1951,6,1 2408 | 14.324000000000002,1951,7,1 2409 | 14.021,1951,8,1 2410 | 12.324000000000002,1951,9,1 2411 | 9.67,1951,10,1 2412 | 6.2250000000000005,1951,11,1 2413 | 4.327999999999999,1951,12,1 2414 | 3.049,1952,1,1 2415 | 3.3960000000000004,1952,2,1 2416 | 4.9670000000000005,1952,3,1 2417 | 8.461,1952,4,1 2418 | 11.352,1952,5,1 2419 | 13.442,1952,6,1 2420 | 14.549,1952,7,1 2421 | 13.964,1952,8,1 2422 | 12.238,1952,9,1 2423 | 9.157,1952,10,1 2424 | 5.425,1952,11,1 2425 | 3.659,1952,12,1 2426 | 2.964,1953,1,1 2427 | 3.629,1953,2,1 2428 | 5.7120000000000015,1953,3,1 2429 | 8.892000000000003,1953,4,1 2430 | 11.514,1953,5,1 2431 | 13.612,1953,6,1 2432 | 14.392,1953,7,1 2433 | 14.059,1953,8,1 2434 | 12.199000000000002,1953,9,1 2435 | 9.59,1953,10,1 2436 | 5.924,1953,11,1 2437 | 3.998,1953,12,1 2438 | 2.059,1954,1,1 2439 | 3.084,1954,2,1 2440 | 5.148,1954,3,1 2441 | 8.158,1954,4,1 2442 | 10.988,1954,5,1 2443 | 13.4,1954,6,1 2444 | 14.241,1954,7,1 2445 | 13.868,1954,8,1 2446 | 12.097999999999999,1954,9,1 2447 | 9.546,1954,10,1 2448 | 6.579,1954,11,1 2449 | 3.5589999999999997,1954,12,1 2450 | 3.412,1955,1,1 2451 | 3.137,1955,2,1 2452 | 4.585,1955,3,1 2453 | 8.136000000000001,1955,4,1 2454 | 11.191999999999998,1955,5,1 2455 | 13.56,1955,6,1 2456 | 14.242,1955,7,1 2457 | 14.283,1955,8,1 2458 | 11.954,1955,9,1 2459 | 9.735,1955,10,1 2460 | 5.973,1955,11,1 2461 | 3.306,1955,12,1 2462 | 2.466,1956,1,1 2463 | 2.781,1956,2,1 2464 | 4.8889999999999985,1956,3,1 2465 | 7.9220000000000015,1956,4,1 2466 | 10.720999999999998,1956,5,1 2467 | 13.16,1956,6,1 2468 | 14.18,1956,7,1 2469 | 13.189,1956,8,1 2470 | 11.783,1956,9,1 2471 | 8.927999999999997,1956,10,1 2472 | 5.738,1956,11,1 2473 | 3.5980000000000003,1956,12,1 2474 | 2.488,1957,1,1 2475 | 3.12,1957,2,1 2476 | 5.0360000000000005,1957,3,1 2477 | 8.366,1957,4,1 2478 | 11.259,1957,5,1 2479 | 13.783,1957,6,1 2480 | 14.129,1957,7,1 2481 | 14.082,1957,8,1 2482 | 12.312,1957,9,1 2483 | 9.496,1957,10,1 2484 | 6.391,1957,11,1 2485 | 4.327999999999999,1957,12,1 2486 | 3.5740000000000003,1958,1,1 2487 | 3.695,1958,2,1 2488 | 5.4529999999999985,1958,3,1 2489 | 8.52,1958,4,1 2490 | 11.518999999999998,1958,5,1 2491 | 13.187,1958,6,1 2492 | 14.438,1958,7,1 2493 | 13.597,1958,8,1 2494 | 11.845,1958,9,1 2495 | 9.375,1958,10,1 2496 | 6.26,1958,11,1 2497 | 3.822,1958,12,1 2498 | 2.959,1959,1,1 2499 | 3.33,1959,2,1 2500 | 5.854,1959,3,1 2501 | 8.818999999999997,1959,4,1 2502 | 11.323,1959,5,1 2503 | 13.577,1959,6,1 2504 | 14.449000000000002,1959,7,1 2505 | 13.853,1959,8,1 2506 | 11.946,1959,9,1 2507 | 9.16,1959,10,1 2508 | 5.752000000000002,1959,11,1 2509 | 3.77,1959,12,1 2510 | 2.713,1960,1,1 2511 | 3.798,1960,2,1 2512 | 4.303,1960,3,1 2513 | 8.133,1960,4,1 2514 | 10.872,1960,5,1 2515 | 13.484000000000002,1960,6,1 2516 | 14.198,1960,7,1 2517 | 13.825,1960,8,1 2518 | 12.095,1960,9,1 2519 | 9.497,1960,10,1 2520 | 5.8279999999999985,1960,11,1 2521 | 4.259,1960,12,1 2522 | 2.926,1961,1,1 2523 | 3.683,1961,2,1 2524 | 5.589,1961,3,1 2525 | 8.631,1961,4,1 2526 | 11.624,1961,5,1 2527 | 13.702,1961,6,1 2528 | 14.288,1961,7,1 2529 | 13.849,1961,8,1 2530 | 12.247,1961,9,1 2531 | 9.328,1961,10,1 2532 | 6.205,1961,11,1 2533 | 3.5,1961,12,1 2534 | 3.003,1962,1,1 2535 | 3.696,1962,2,1 2536 | 5.53,1962,3,1 2537 | 8.54,1962,4,1 2538 | 11.128,1962,5,1 2539 | 13.427,1962,6,1 2540 | 14.205,1962,7,1 2541 | 13.713,1962,8,1 2542 | 12.017999999999999,1962,9,1 2543 | 9.468,1962,10,1 2544 | 6.283,1962,11,1 2545 | 3.94,1962,12,1 2546 | 2.9010000000000002,1963,1,1 2547 | 4.02,1963,2,1 2548 | 5.097,1963,3,1 2549 | 8.173,1963,4,1 2550 | 11.045,1963,5,1 2551 | 13.412,1963,6,1 2552 | 14.505999999999998,1963,7,1 2553 | 14.309,1963,8,1 2554 | 12.555,1963,9,1 2555 | 9.943,1963,10,1 2556 | 6.561,1963,11,1 2557 | 3.75,1963,12,1 2558 | 2.8810000000000002,1964,1,1 2559 | 3.028,1964,2,1 2560 | 4.865,1964,3,1 2561 | 7.9220000000000015,1964,4,1 2562 | 10.905,1964,5,1 2563 | 13.459,1964,6,1 2564 | 14.300999999999998,1964,7,1 2565 | 13.678,1964,8,1 2566 | 11.604,1964,9,1 2567 | 8.831999999999997,1964,10,1 2568 | 5.9830000000000005,1964,11,1 2569 | 3.458,1964,12,1 2570 | 2.862,1965,1,1 2571 | 3.036,1965,2,1 2572 | 5.182,1965,3,1 2573 | 7.9899999999999975,1965,4,1 2574 | 11.222,1965,5,1 2575 | 13.308,1965,6,1 2576 | 14.078,1965,7,1 2577 | 13.807,1965,8,1 2578 | 11.73,1965,9,1 2579 | 9.488,1965,10,1 2580 | 5.86,1965,11,1 2581 | 3.766,1965,12,1 2582 | 2.49,1966,1,1 2583 | 3.29,1966,2,1 2584 | 5.527,1966,3,1 2585 | 8.161,1966,4,1 2586 | 11.2,1966,5,1 2587 | 13.587,1966,6,1 2588 | 14.569,1966,7,1 2589 | 13.731,1966,8,1 2590 | 12.133,1966,9,1 2591 | 9.152999999999999,1966,10,1 2592 | 5.9689999999999985,1966,11,1 2593 | 3.3819999999999997,1966,12,1 2594 | 2.71,1967,1,1 2595 | 2.905,1967,2,1 2596 | 5.396,1967,3,1 2597 | 8.458,1967,4,1 2598 | 11.632,1967,5,1 2599 | 13.194,1967,6,1 2600 | 14.331,1967,7,1 2601 | 13.821,1967,8,1 2602 | 12.053999999999998,1967,9,1 2603 | 9.809,1967,10,1 2604 | 6.176,1967,11,1 2605 | 3.915,1967,12,1 2606 | 2.353,1968,1,1 2607 | 3.245,1968,2,1 2608 | 6.117000000000001,1968,3,1 2609 | 8.455,1968,4,1 2610 | 11.068,1968,5,1 2611 | 13.204,1968,6,1 2612 | 14.026,1968,7,1 2613 | 13.524,1968,8,1 2614 | 11.62,1968,9,1 2615 | 9.453,1968,10,1 2616 | 5.891,1968,11,1 2617 | 3.24,1968,12,1 2618 | 1.966,1969,1,1 2619 | 2.45,1969,2,1 2620 | 5.131,1969,3,1 2621 | 8.575999999999999,1969,4,1 2622 | 11.354,1969,5,1 2623 | 13.475,1969,6,1 2624 | 14.218,1969,7,1 2625 | 13.804,1969,8,1 2626 | 12.048,1969,9,1 2627 | 9.488999999999999,1969,10,1 2628 | 6.42,1969,11,1 2629 | 4.21,1969,12,1 2630 | 2.8360000000000003,1970,1,1 2631 | 3.735,1970,2,1 2632 | 5.272,1970,3,1 2633 | 8.603,1970,4,1 2634 | 11.206,1970,5,1 2635 | 13.513,1970,6,1 2636 | 14.395,1970,7,1 2637 | 13.658,1970,8,1 2638 | 12.277,1970,9,1 2639 | 9.347999999999999,1970,10,1 2640 | 6.0470000000000015,1970,11,1 2641 | 3.5210000000000004,1970,12,1 2642 | 2.967,1971,1,1 2643 | 2.867,1971,2,1 2644 | 5.001,1971,3,1 2645 | 8.338999999999999,1971,4,1 2646 | 11.210999999999999,1971,5,1 2647 | 13.099,1971,6,1 2648 | 14.139,1971,7,1 2649 | 13.879,1971,8,1 2650 | 12.139,1971,9,1 2651 | 9.388,1971,10,1 2652 | 6.295,1971,11,1 2653 | 3.867,1971,12,1 2654 | 1.882,1972,1,1 2655 | 2.609,1972,2,1 2656 | 5.287000000000001,1972,3,1 2657 | 8.337,1972,4,1 2658 | 11.155,1972,5,1 2659 | 13.501,1972,6,1 2660 | 14.231,1972,7,1 2661 | 14.171,1972,8,1 2662 | 11.901,1972,9,1 2663 | 9.346,1972,10,1 2664 | 5.7970000000000015,1972,11,1 2665 | 3.778,1972,12,1 2666 | 3.0380000000000003,1973,1,1 2667 | 3.898,1973,2,1 2668 | 5.82,1973,3,1 2669 | 8.937999999999997,1973,4,1 2670 | 11.768999999999998,1973,5,1 2671 | 13.824000000000002,1973,6,1 2672 | 14.435,1973,7,1 2673 | 13.869000000000002,1973,8,1 2674 | 12.125,1973,9,1 2675 | 9.609,1973,10,1 2676 | 6.222,1973,11,1 2677 | 3.832,1973,12,1 2678 | 2.261,1974,1,1 2679 | 2.582,1974,2,1 2680 | 5.19,1974,3,1 2681 | 8.386000000000001,1974,4,1 2682 | 11.198,1974,5,1 2683 | 13.382,1974,6,1 2684 | 14.288,1974,7,1 2685 | 14.015999999999998,1974,8,1 2686 | 11.744000000000002,1974,9,1 2687 | 9.097999999999999,1974,10,1 2688 | 5.915,1974,11,1 2689 | 3.55,1974,12,1 2690 | 3.059,1975,1,1 2691 | 3.395,1975,2,1 2692 | 5.706,1975,3,1 2693 | 8.584,1975,4,1 2694 | 11.742,1975,5,1 2695 | 13.557,1975,6,1 2696 | 14.351,1975,7,1 2697 | 13.514,1975,8,1 2698 | 12.152,1975,9,1 2699 | 9.318,1975,10,1 2700 | 5.893,1975,11,1 2701 | 3.667,1975,12,1 2702 | 2.884,1976,1,1 2703 | 3.031,1976,2,1 2704 | 4.517,1976,3,1 2705 | 8.293999999999999,1976,4,1 2706 | 10.941999999999998,1976,5,1 2707 | 13.085999999999999,1976,6,1 2708 | 14.155,1976,7,1 2709 | 13.511,1976,8,1 2710 | 11.895,1976,9,1 2711 | 8.511000000000001,1976,10,1 2712 | 5.66,1976,11,1 2713 | 3.681,1976,12,1 2714 | 2.492,1977,1,1 2715 | 3.471,1977,2,1 2716 | 5.702000000000001,1977,3,1 2717 | 8.85,1977,4,1 2718 | 11.78,1977,5,1 2719 | 13.876,1977,6,1 2720 | 14.630999999999998,1977,7,1 2721 | 14.09,1977,8,1 2722 | 11.861999999999998,1977,9,1 2723 | 9.156,1977,10,1 2724 | 6.5440000000000005,1977,11,1 2725 | 3.749,1977,12,1 2726 | 2.705,1978,1,1 2727 | 3.4560000000000004,1978,2,1 2728 | 5.607,1978,3,1 2729 | 8.790999999999999,1978,4,1 2730 | 11.414,1978,5,1 2731 | 13.22,1978,6,1 2732 | 14.364,1978,7,1 2733 | 13.297,1978,8,1 2734 | 12.03,1978,9,1 2735 | 9.339,1978,10,1 2736 | 6.3500000000000005,1978,11,1 2737 | 3.74,1978,12,1 2738 | 2.6790000000000003,1979,1,1 2739 | 2.841,1979,2,1 2740 | 5.474,1979,3,1 2741 | 8.455,1979,4,1 2742 | 11.199000000000002,1979,5,1 2743 | 13.487,1979,6,1 2744 | 14.114,1979,7,1 2745 | 13.833,1979,8,1 2746 | 12.247,1979,9,1 2747 | 9.586,1979,10,1 2748 | 6.2860000000000005,1979,11,1 2749 | 4.6,1979,12,1 2750 | 2.9560000000000004,1980,1,1 2751 | 3.652,1980,2,1 2752 | 5.367000000000001,1980,3,1 2753 | 8.934999999999997,1980,4,1 2754 | 11.77,1980,5,1 2755 | 13.582,1980,6,1 2756 | 14.742,1980,7,1 2757 | 14.189,1980,8,1 2758 | 12.321,1980,9,1 2759 | 9.55,1980,10,1 2760 | 6.684,1980,11,1 2761 | 4.016,1980,12,1 2762 | 3.785,1981,1,1 2763 | 4.021,1981,2,1 2764 | 6.239,1981,3,1 2765 | 8.953,1981,4,1 2766 | 11.565,1981,5,1 2767 | 13.765,1981,6,1 2768 | 14.738,1981,7,1 2769 | 14.502,1981,8,1 2770 | 12.235999999999999,1981,9,1 2771 | 9.394,1981,10,1 2772 | 6.273,1981,11,1 2773 | 4.519,1981,12,1 2774 | 2.5580000000000003,1982,1,1 2775 | 3.281,1982,2,1 2776 | 4.873,1982,3,1 2777 | 8.465,1982,4,1 2778 | 11.347999999999999,1982,5,1 2779 | 13.245,1982,6,1 2780 | 14.545,1982,7,1 2781 | 13.796,1982,8,1 2782 | 12.039,1982,9,1 2783 | 9.232,1982,10,1 2784 | 5.961,1982,11,1 2785 | 4.327,1982,12,1 2786 | 3.4450000000000003,1983,1,1 2787 | 3.814,1983,2,1 2788 | 5.699,1983,3,1 2789 | 8.693,1983,4,1 2790 | 11.729,1983,5,1 2791 | 13.478,1983,6,1 2792 | 14.408,1983,7,1 2793 | 14.302,1983,8,1 2794 | 12.698,1983,9,1 2795 | 9.478,1983,10,1 2796 | 6.7650000000000015,1983,11,1 2797 | 3.8289999999999997,1983,12,1 2798 | 2.9410000000000003,1984,1,1 2799 | 3.093,1984,2,1 2800 | 5.671,1984,3,1 2801 | 8.431999999999999,1984,4,1 2802 | 11.975999999999999,1984,5,1 2803 | 13.387,1984,6,1 2804 | 14.429,1984,7,1 2805 | 13.984000000000002,1984,8,1 2806 | 12.015,1984,9,1 2807 | 9.378,1984,10,1 2808 | 5.811,1984,11,1 2809 | 3.185,1984,12,1 2810 | 3.01,1985,1,1 2811 | 2.7039999999999997,1985,2,1 2812 | 5.4510000000000005,1985,3,1 2813 | 8.633,1985,4,1 2814 | 11.425999999999998,1985,5,1 2815 | 13.569,1985,6,1 2816 | 13.973,1985,7,1 2817 | 14.059,1985,8,1 2818 | 11.98,1985,9,1 2819 | 9.338,1985,10,1 2820 | 5.968,1985,11,1 2821 | 3.785,1985,12,1 2822 | 3.315,1986,1,1 2823 | 3.991,1986,2,1 2824 | 5.755,1986,3,1 2825 | 8.870999999999997,1986,4,1 2826 | 11.581,1986,5,1 2827 | 13.439,1986,6,1 2828 | 14.293,1986,7,1 2829 | 13.972,1986,8,1 2830 | 11.816999999999998,1986,9,1 2831 | 9.299,1986,10,1 2832 | 5.9190000000000005,1986,11,1 2833 | 3.751,1986,12,1 2834 | 3.139,1987,1,1 2835 | 4.134,1987,2,1 2836 | 5.245,1987,3,1 2837 | 8.594999999999999,1987,4,1 2838 | 11.525,1987,5,1 2839 | 13.927,1987,6,1 2840 | 14.89,1987,7,1 2841 | 13.896,1987,8,1 2842 | 12.447,1987,9,1 2843 | 9.59,1987,10,1 2844 | 6.056,1987,11,1 2845 | 4.489,1987,12,1 2846 | 3.454,1988,1,1 2847 | 3.422,1988,2,1 2848 | 5.931,1988,3,1 2849 | 8.991999999999997,1988,4,1 2850 | 11.852,1988,5,1 2851 | 14.099,1988,6,1 2852 | 14.798,1988,7,1 2853 | 14.553,1988,8,1 2854 | 12.681,1988,9,1 2855 | 9.979,1988,10,1 2856 | 6.295,1988,11,1 2857 | 4.363,1988,12,1 2858 | 2.71,1989,1,1 2859 | 3.627,1989,2,1 2860 | 5.792000000000002,1989,3,1 2861 | 8.689,1989,4,1 2862 | 11.28,1989,5,1 2863 | 13.447,1989,6,1 2864 | 14.612,1989,7,1 2865 | 14.135,1989,8,1 2866 | 12.402999999999999,1989,9,1 2867 | 9.76,1989,10,1 2868 | 6.1789999999999985,1989,11,1 2869 | 4.43,1989,12,1 2870 | 3.2430000000000003,1990,1,1 2871 | 3.643,1990,2,1 2872 | 6.73,1990,3,1 2873 | 9.169,1990,4,1 2874 | 11.831,1990,5,1 2875 | 13.892999999999999,1990,6,1 2876 | 14.784,1990,7,1 2877 | 14.095,1990,8,1 2878 | 12.195,1990,9,1 2879 | 9.882,1990,10,1 2880 | 6.92,1990,11,1 2881 | 4.425,1990,12,1 2882 | 3.1950000000000003,1991,1,1 2883 | 4.0440000000000005,1991,2,1 2884 | 5.574,1991,3,1 2885 | 9.226,1991,4,1 2886 | 11.616,1991,5,1 2887 | 14.263,1991,6,1 2888 | 14.987,1991,7,1 2889 | 14.319,1991,8,1 2890 | 12.677,1991,9,1 2891 | 9.753,1991,10,1 2892 | 6.44,1991,11,1 2893 | 4.059,1991,12,1 2894 | 3.579,1992,1,1 2895 | 3.931,1992,2,1 2896 | 5.952000000000001,1992,3,1 2897 | 8.572000000000001,1992,4,1 2898 | 11.534999999999998,1992,5,1 2899 | 13.575999999999999,1992,6,1 2900 | 14.139,1992,7,1 2901 | 13.765999999999998,1992,8,1 2902 | 11.672,1992,9,1 2903 | 9.353,1992,10,1 2904 | 5.8889999999999985,1992,11,1 2905 | 4.075,1992,12,1 2906 | 3.301,1993,1,1 2907 | 3.745,1993,2,1 2908 | 5.922999999999999,1993,3,1 2909 | 8.69,1993,4,1 2910 | 11.475,1993,5,1 2911 | 13.517999999999999,1993,6,1 2912 | 14.595,1993,7,1 2913 | 13.835,1993,8,1 2914 | 11.93,1993,9,1 2915 | 9.613999999999999,1993,10,1 2916 | 5.738,1993,11,1 2917 | 4.035,1993,12,1 2918 | 3.024,1994,1,1 2919 | 2.81,1994,2,1 2920 | 5.731,1994,3,1 2921 | 9.017999999999999,1994,4,1 2922 | 11.684,1994,5,1 2923 | 14.144,1994,6,1 2924 | 14.658,1994,7,1 2925 | 13.977,1994,8,1 2926 | 12.515999999999998,1994,9,1 2927 | 10.002,1994,10,1 2928 | 6.7879999999999985,1994,11,1 2929 | 4.113,1994,12,1 2930 | 3.54,1995,1,1 2931 | 4.6560000000000015,1995,2,1 2932 | 5.956,1995,3,1 2933 | 8.972000000000003,1995,4,1 2934 | 11.57,1995,5,1 2935 | 14.164,1995,6,1 2936 | 15.116,1995,7,1 2937 | 14.636,1995,8,1 2938 | 12.565,1995,9,1 2939 | 10.106,1995,10,1 2940 | 6.761,1995,11,1 2941 | 4.123,1995,12,1 2942 | 2.862,1996,1,1 2943 | 4.0120000000000005,1996,2,1 2944 | 5.524,1996,3,1 2945 | 8.679,1996,4,1 2946 | 11.588,1996,5,1 2947 | 13.681,1996,6,1 2948 | 14.827,1996,7,1 2949 | 14.603,1996,8,1 2950 | 12.294,1996,9,1 2951 | 9.525,1996,10,1 2952 | 6.5470000000000015,1996,11,1 2953 | 4.325,1996,12,1 2954 | 3.165,1997,1,1 2955 | 3.766,1997,2,1 2956 | 6.0120000000000005,1997,3,1 2957 | 8.891,1997,4,1 2958 | 11.593,1997,5,1 2959 | 14.130999999999998,1997,6,1 2960 | 14.565,1997,7,1 2961 | 14.255999999999998,1997,8,1 2962 | 12.685,1997,9,1 2963 | 10.109,1997,10,1 2964 | 6.841,1997,11,1 2965 | 4.417,1997,12,1 2966 | 3.3520000000000003,1998,1,1 2967 | 4.8260000000000005,1998,2,1 2968 | 6.023,1998,3,1 2969 | 9.357999999999999,1998,4,1 2970 | 12.290999999999999,1998,5,1 2971 | 14.520999999999999,1998,6,1 2972 | 15.34,1998,7,1 2973 | 14.874,1998,8,1 2974 | 12.672999999999998,1998,9,1 2975 | 9.941,1998,10,1 2976 | 6.404,1998,11,1 2977 | 4.6690000000000005,1998,12,1 2978 | 3.544,1999,1,1 2979 | 4.694,1999,2,1 2980 | 5.53,1999,3,1 2981 | 8.838,1999,4,1 2982 | 11.706,1999,5,1 2983 | 14.030999999999999,1999,6,1 2984 | 14.853,1999,7,1 2985 | 14.348,1999,8,1 2986 | 12.722999999999999,1999,9,1 2987 | 9.997,1999,10,1 2988 | 6.5920000000000005,1999,11,1 2989 | 4.565,1999,12,1 2990 | 2.95,2000,1,1 2991 | 4.184,2000,2,1 2992 | 6.2189999999999985,2000,3,1 2993 | 9.552,2000,4,1 2994 | 11.874,2000,5,1 2995 | 14.06,2000,6,1 2996 | 14.848,2000,7,1 2997 | 14.519,2000,8,1 2998 | 12.547,2000,9,1 2999 | 9.486,2000,10,1 3000 | 6.312,2000,11,1 3001 | 3.863,2000,12,1 3002 | 3.3360000000000003,2001,1,1 3003 | 3.72,2001,2,1 3004 | 6.207999999999998,2001,3,1 3005 | 9.245,2001,4,1 3006 | 12.270999999999999,2001,5,1 3007 | 14.11,2001,6,1 3008 | 15.161,2001,7,1 3009 | 14.427,2001,8,1 3010 | 12.735999999999999,2001,9,1 3011 | 9.935,2001,10,1 3012 | 7.319,2001,11,1 3013 | 4.507,2001,12,1 3014 | 4.026,2002,1,1 3015 | 4.704,2002,2,1 3016 | 6.772,2002,3,1 3017 | 9.229,2002,4,1 3018 | 12.248,2002,5,1 3019 | 14.084,2002,6,1 3020 | 15.354000000000001,2002,7,1 3021 | 14.56,2002,8,1 3022 | 12.95,2002,9,1 3023 | 9.988,2002,10,1 3024 | 6.892,2002,11,1 3025 | 4.038,2002,12,1 3026 | 3.981,2003,1,1 3027 | 4.085,2003,2,1 3028 | 6.047999999999999,2003,3,1 3029 | 9.154,2003,4,1 3030 | 12.152999999999999,2003,5,1 3031 | 14.017,2003,6,1 3032 | 14.983,2003,7,1 3033 | 14.690999999999999,2003,8,1 3034 | 12.911,2003,9,1 3035 | 10.424,2003,10,1 3036 | 6.727,2003,11,1 3037 | 5.132999999999999,2003,12,1 3038 | 3.5250000000000004,2004,1,1 3039 | 4.4990000000000006,2004,2,1 3040 | 6.3210000000000015,2004,3,1 3041 | 9.249,2004,4,1 3042 | 11.571,2004,5,1 3043 | 13.889,2004,6,1 3044 | 14.312,2004,7,1 3045 | 14.188,2004,8,1 3046 | 12.642,2004,9,1 3047 | 10.127,2004,10,1 3048 | 7.315,2004,11,1 3049 | 4.257,2004,12,1 3050 | 3.808,2005,1,1 3051 | 3.92,2005,2,1 3052 | 6.5440000000000005,2005,3,1 3053 | 9.618,2005,4,1 3054 | 12.225999999999999,2005,5,1 3055 | 14.475999999999999,2005,6,1 3056 | 15.19,2005,7,1 3057 | 14.51,2005,8,1 3058 | 13.217,2005,9,1 3059 | 10.600999999999999,2005,10,1 3060 | 7.422999999999999,2005,11,1 3061 | 4.878,2005,12,1 3062 | 3.286,2006,1,1 3063 | 4.43,2006,2,1 3064 | 6.3290000000000015,2006,3,1 3065 | 9.055,2006,4,1 3066 | 11.786,2006,5,1 3067 | 14.443,2006,6,1 3068 | 15.042,2006,7,1 3069 | 14.913,2006,8,1 3070 | 12.875,2006,9,1 3071 | 10.289,2006,10,1 3072 | 6.955,2006,11,1 3073 | 4.987,2006,12,1 3074 | 4.5790000000000015,2007,1,1 3075 | 4.221,2007,2,1 3076 | 6.485,2007,3,1 3077 | 9.823,2007,4,1 3078 | 12.517999999999999,2007,5,1 3079 | 14.309,2007,6,1 3080 | 15.23,2007,7,1 3081 | 14.752,2007,8,1 3082 | 12.93,2007,9,1 3083 | 10.332,2007,10,1 3084 | 7.0840000000000005,2007,11,1 3085 | 4.523,2007,12,1 3086 | 2.8440000000000003,2008,1,1 3087 | 3.576,2008,2,1 3088 | 6.9060000000000015,2008,3,1 3089 | 9.295,2008,4,1 3090 | 12.053999999999998,2008,5,1 3091 | 14.145,2008,6,1 3092 | 15.174,2008,7,1 3093 | 14.377,2008,8,1 3094 | 12.802,2008,9,1 3095 | 10.399,2008,10,1 3096 | 7.224,2008,11,1 3097 | 4.385,2008,12,1 3098 | 3.687,2009,1,1 3099 | 4.0939999999999985,2009,2,1 3100 | 6.086,2009,3,1 3101 | 9.367,2009,4,1 3102 | 12.111999999999998,2009,5,1 3103 | 14.200999999999999,2009,6,1 3104 | 15.231,2009,7,1 3105 | 14.655,2009,8,1 3106 | 13.152999999999999,2009,9,1 3107 | 10.136,2009,10,1 3108 | 7.0310000000000015,2009,11,1 3109 | 4.31,2009,12,1 3110 | 3.737,2010,1,1 3111 | 4.399,2010,2,1 3112 | 6.738,2010,3,1 3113 | 9.671,2010,4,1 3114 | 12.405999999999999,2010,5,1 3115 | 14.421,2010,6,1 3116 | 15.213,2010,7,1 3117 | 14.768,2010,8,1 3118 | 12.863,2010,9,1 3119 | 10.442,2010,10,1 3120 | 7.487,2010,11,1 3121 | 4.292,2010,12,1 3122 | 3.282,2011,1,1 3123 | 3.743,2011,2,1 3124 | 6.101,2011,3,1 3125 | 9.482999999999999,2011,4,1 3126 | 11.985999999999999,2011,5,1 3127 | 14.37,2011,6,1 3128 | 15.482,2011,7,1 3129 | 15.012,2011,8,1 3130 | 12.912,2011,9,1 3131 | 10.352,2011,10,1 3132 | 6.814,2011,11,1 3133 | 4.654999999999999,2011,12,1 3134 | 3.157,2012,1,1 3135 | 3.628,2012,2,1 3136 | 6.023,2012,3,1 3137 | 9.675999999999998,2012,4,1 3138 | 12.59,2012,5,1 3139 | 14.492,2012,6,1 3140 | 15.076,2012,7,1 3141 | 14.72,2012,8,1 3142 | 13.04,2012,9,1 3143 | 10.427999999999999,2012,10,1 3144 | 7.1560000000000015,2012,11,1 3145 | 4.102,2012,12,1 3146 | 3.685,2013,1,1 3147 | 4.2219999999999995,2013,2,1 3148 | 6.261,2013,3,1 3149 | 9.044,2013,4,1 3150 | 12.195,2013,5,1 3151 | 14.568,2013,6,1 3152 | 15.003,2013,7,1 3153 | 14.742,2013,8,1 3154 | 13.154000000000002,2013,9,1 3155 | 10.255999999999998,2013,10,1 3156 | 7.423999999999999,2013,11,1 3157 | 4.724,2013,12,1 3158 | 3.732,2014,1,1 3159 | 3.5,2014,2,1 3160 | 6.377999999999999,2014,3,1 3161 | 9.589,2014,4,1 3162 | 12.582,2014,5,1 3163 | 14.335,2014,6,1 3164 | 14.873,2014,7,1 3165 | 14.875,2014,8,1 3166 | 13.091,2014,9,1 3167 | 10.33,2014,10,1 3168 | 6.712999999999999,2014,11,1 3169 | 4.85,2014,12,1 3170 | 3.8810000000000002,2015,1,1 3171 | 4.664,2015,2,1 3172 | 6.74,2015,3,1 3173 | 9.312999999999999,2015,4,1 3174 | 12.312,2015,5,1 3175 | 14.505,2015,6,1 3176 | 15.050999999999998,2015,7,1 3177 | 14.755,2015,8,1 3178 | 12.999,2015,9,1 3179 | 10.800999999999998,2015,10,1 3180 | 7.433,2015,11,1 3181 | 5.518,2015,12,1 3182 | --------------------------------------------------------------------------------