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econometric_data.csv sample_data.csv data_preprocessing.cpython-313.pyc hypothesis_test_data.csv

data/econometric_data.csv

date,GDP,Consumption,Investment,Unemployment
2020-01-01,100.0,85.0,45.0,5.2
2020-02-01,101.2,86.1,45.5,5.1
2020-03-01,102.5,87.3,46.2,5.0
2020-04-01,103.8,88.5,47.0,4.9
2020-05-01,105.1,89.7,47.8,4.8
2020-06-01,106.4,90.9,48.5,4.7
2020-07-01,107.7,92.1,49.3,4.6
2020-08-01,109.0,93.3,50.0,4.5
2020-09-01,110.3,94.5,50.8,4.4
2020-10-01,111.6,95.7,51.5,4.3
2020-11-01,112.9,96.9,52.3,4.2
2020-12-01,114.2,98.1,53.0,4.1
2021-01-01,115.5,99.3,53.8,4.0
2021-02-01,116.8,100.5,54.5,3.9
2021-03-01,118.1,101.7,55.3,3.8
2021-04-01,119.4,102.9,56.0,3.7
2021-05-01,120.7,104.1,56.8,3.6
2021-06-01,122.0,105.3,57.5,3.5
2021-07-01,123.3,106.5,58.3,3.4
2021-08-01,124.6,107.7,59.0,3.3
2021-09-01,125.9,108.9,59.8,3.2
2021-10-01,127.2,110.1,60.5,3.1
2021-11-01,128.5,111.3,61.3,3.0
2021-12-01,129.8,112.5,62.0,2.9
2022-01-01,131.1,113.7,62.8,2.8
2022-02-01,132.4,114.9,63.5,2.7
2022-03-01,133.7,116.1,64.3,2.6
2022-04-01,135.0,117.3,65.0,2.5
2022-05-01,136.3,118.5,65.8,2.4
2022-06-01,137.6,119.7,66.5,2.3
2022-07-01,138.9,120.9,67.3,2.2
2022-08-01,140.2,122.1,68.0,2.1
2022-09-01,141.5,123.3,68.8,2.0
2022-10-01,142.8,124.5,69.5,1.9
2022-11-01,144.1,125.7,70.3,1.8
2022-12-01,145.4,126.9,71.0,1.7

39 lines•1.2 KB

csv

data/sample_data.csv

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X1,X2,X3,y
-0.1382643,0.49671415,-0.23415337,4.234567
0.64768854,0.64768854,1.57921282,7.123456
1.52302986,-0.23413696,0.76743473,6.789012
-0.23415337,-0.46947439,-0.54252003,2.345678
0.49671415,0.54252003,0.24196227,5.678901
-0.23413696,0.24196227,-0.46572975,3.456789
0.64768854,-0.46572975,0.3130677,4.567890
1.52302986,0.3130677,-0.85409574,6.234567
-0.23415337,-0.85409574,2.26975462,1.789012
0.49671415,2.26975462,-1.45436567,8.345678
-0.23413696,-1.45436567,0.04575852,2.456789
0.64768854,0.04575852,-0.18718385,4.123456
1.52302986,-0.18718385,1.53277921,7.890123
-0.23415337,1.53277921,1.46935877,5.234567
0.49671415,1.46935877,0.15494743,6.567890
-0.23413696,0.15494743,0.37816252,3.234567
0.64768854,0.37816252,-0.88778575,5.678901
1.52302986,-0.88778575,-1.98079647,4.345678
-0.23415337,-1.98079647,-0.34791215,1.567890
0.49671415,-0.34791215,0.15634897,4.789012
1.23456789,0.56789012,-0.12345678,6.123456
-0.56789012,1.23456789,0.34567890,5.456789
0.34567890,-0.78901234,1.01234567,7.234567
-0.78901234,0.34567890,-0.56789012,3.567890
1.01234567,-0.23456789,0.78901234,6.789012
-0.23456789,1.56789012,-0.34567890,5.123456
0.56789012,-0.90123456,1.23456789,7.567890
-0.90123456,0.67890123,-0.45678901,4.234567
1.34567890,-0.12345678,0.56789012,6.345678

32 lines•1.3 KB

csv

data_preprocessing.cpython-313.pyc

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data/hypothesis_test_data.csv

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group,value
A,98.5
A,99.2
A,97.8
A,100.1
A,99.5
A,98.9
A,100.3
A,99.7
A,98.2
A,100.5
B,102.3
B,103.1
B,101.8
B,103.5
B,102.7
B,103.9
B,102.1
B,103.3
B,102.8
B,103.6
C,105.2
C,106.1
C,104.8
C,106.5
C,105.7
C,106.9
C,105.1
C,106.3
C,105.8
C,106.7
D,108.5
D,109.2
D,107.8
D,110.1
D,109.5
D,108.9
D,110.3
D,109.7
D,108.2
D,110.5

43 lines•368 B

csv

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