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codingboo's profile picture. Learning Data Science and Data Analytics!
Elena Chen
 @codingboo
Apr 26, 2023

#Day9 of #DataAnalytics Finished a last section of learning #Pandas, and did extracting data with: - str.contain(' ', case=False) to make it case-insensitive - .head(n) to get the first n rows, usually paired with .value_counts - len(df[’col2’].unique()) / df[’col2’].nunique()

codingboo's tweet image. #Day9 of #DataAnalytics Finished a last section of learning #Pandas, and did extracting data with: - str.contain(' ', case=False) to make it case-insensitive - .head(n) to get the first n rows, usually paired with .value_counts - len(df[’col2’].unique()) / df[’col2’].nunique()
codingboo's tweet image. #Day9 of #DataAnalytics Finished a last section of learning #Pandas, and did extracting data with: - str.contain(' ', case=False) to make it case-insensitive - .head(n) to get the first n rows, usually paired with .value_counts - len(df[’col2’].unique()) / df[’col2’].nunique()
codingboo's tweet image. #Day9 of #DataAnalytics Finished a last section of learning #Pandas, and did extracting data with: - str.contain(' ', case=False) to make it case-insensitive - .head(n) to get the first n rows, usually paired with .value_counts - len(df[’col2’].unique()) / df[’col2’].nunique()
codingboo's tweet image. #Day9 of #DataAnalytics Finished a last section of learning #Pandas, and did extracting data with: - str.contain(' ', case=False) to make it case-insensitive - .head(n) to get the first n rows, usually paired with .value_counts - len(df[’col2’].unique()) / df[’col2’].nunique()
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