Created
October 20, 2020 16:07
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| In [1]: import pandas as pd | |
| ...: import numpy as np | |
| ...: import matplotlib.pyplot as plt | |
| ...: import seaborn as sns | |
| ...: from collections import Counter | |
| In [2]: sales_data = pd.read_csv('sales_data_set.csv') | |
| In [3]: sales_data | |
| Out[3]: | |
| Store Dept Date Weekly_Sales IsHoliday | |
| 0 1 1 05/02/2010 24924.50 False | |
| 1 1 1 12/02/2010 46039.49 True | |
| 2 1 1 19/02/2010 41595.55 False | |
| 3 1 1 26/02/2010 19403.54 False | |
| 4 1 1 05/03/2010 21827.90 False | |
| ... ... ... ... ... ... | |
| 421565 45 98 28/09/2012 508.37 False | |
| 421566 45 98 05/10/2012 628.10 False | |
| 421567 45 98 12/10/2012 1061.02 False | |
| 421568 45 98 19/10/2012 760.01 False | |
| 421569 45 98 26/10/2012 1076.80 False | |
| [421570 rows x 5 columns] |
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