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[lab-customer-analysis-round-1]Pedro #36

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[lab-customer-analysis-round-1]Pedro #36

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pedro-gui-afonso
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Good Job!

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  • Rearrange the columns in the dataframe as needed
    tab2_data = tab2_data[tab1_data.columns]
    tab3_data = tab3_data[tab1_data.columns]

  • Which columns are numerical?
    datatotal_data.select_dtypes('float')

  • Which columns are categorial?
    datatotal_data.select_dtypes('object')

  • Filter out the data for customers who have an income of 0 or less
    The logic is right, but it was intendend to take out who has an income of 0 or less so that the final data frame shows only who has a positive income. The condition should be:
    datatotal_data[datatotal_data['income'] > 0

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@pedro-gui-afonso @pt-data-ta-lis