Solving Python Data Analysis Interview Questions - Microsoft
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.
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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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