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import pandas as pd

import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

d_item_cat = pd.read_csv('/kaggle/input/competitive-data-science-predict-future-sales/item_categories.csv')

d_items = pd.read_csv('/kaggle/input/competitive-data-science-predict-future-sales/items.csv')

d_sam_sub = pd.read_csv('/kaggle/input/competitive-data-science-predict-future-sales/sample_submission.csv')

d_sal_tra = pd.read_csv('/kaggle/input/competitive-data-science-predict-future-sales/sales_train.csv')

d_shop = pd.read_csv('/kaggle/input/competitive-data-science-predict-future-sales/shops.csv')

d_test = pd.read_csv('/kaggle/input/competitive-data-science-predict-future-sales/test.csv')

dt_test = d_test.drop(labels='ID', axis=1)
dt_test

print('items categorical null values', d_item_cat.isnull().sum().sum())
print('items  null values', d_items.isnull().sum().sum())
print('sales train null values', d_sal_tra.isnull().sum().sum())
print('test data null values', d_test.isnull().sum().sum())