Solving Python Data Analysis Interview Questions - Microsoft

Published: 21 November 2023
on channel: MaKuData
295
11

In this series, I will be solving python data analysis interview questions in Stratascratch. In this particular video, I'm solving Google's interview question.

If you have any questions or feedback regarding this content, please let me know in the comments or you can contact me directly via email: makunadata@gmail.com

My solution to the mentioned question is:
Premium vs Freemium:
df = ms_download_facts.merge(ms_user_dimension, on = 'user_id', how = 'left').merge(ms_acc_dimension, on = 'acc_id', how = 'left')[['date', 'downloads', 'paying_customer']]
df = df.sort_values('date')
df = df.groupby(['date','paying_customer'], as_index = False)['downloads'].sum()

paying = df[df['paying_customer'] == 'yes']
non_paying = df[df['paying_customer'] == 'no']

df = paying.merge(non_paying, on = 'date', suffixes = ['_p', '_n'])[['date', 'downloads_p', 'downloads_n']]
df = df[df['downloads_n'] (more than) df['downloads_p']]

Try out Stratascratch: https://stratascratch.com/?via=marius


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