[customer-analysis-1] Laura

[jantzla]

No description provided.

[pt-data-ta-lis]

Good Job!

Comments:

• Show the DataFrame's shape.
  df1.shape
  df2.shape
  df3.shape

• Rearrange the columns in the dataframe as needed
  df2 = df2[df1.columns.columns]
  df3 = df3[df1.columns.columns]

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

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

• Correct the values in the column customer_lifetime_value. They are given as percent, so multiply them by 100 and change dtype to numerical type
  concate_data['customer_lifetime_value'] = concate_data['customer_lifetime_value'].str.replace('%','')
  concate_data['customer_lifetime_value'] = pd.to_numeric(concate_data['customer_lifetime_value'], errors='coerce')*100