Date columns

Currently, the date columns in the marketing DataFrame are being incorrectly read as objects. We need to convert these columns to date columns to be able to use Python and pandas' robust date manipulation and formatting capabilities.

In this exercise, you will practice reading the CSV with proper date columns and create a day of the week column.

Este ejercicio forma parte del curso

Analyzing Marketing Campaigns with pandas

Ver curso

Instrucciones del ejercicio

Import pandas into the environment with the alias pd.
Read 'marketing.csv' into your environment correctly identifying date columns,'date_served' 'date_subscribed' and 'date_canceled' within your call to read_csv().
Create a day of week column from 'date_subscribed' using dt.dayofweek.

Ejercicio interactivo práctico

Prueba este ejercicio y completa el código de muestra.

# Import pandas into the environment
____

# Import marketing.csv with date columns
marketing = ____

# Add a DoW column
marketing['DoW'] = ____

Editar y ejecutar código