House ads conversion rate
The house ads team has become worried about some irregularities they've noticed in conversion rate. It is common for stakeholders to come to you with concerns they've noticed around changing metrics. As a data scientist, it's your job to determine whether these changes are natural fluctuations or if they require further investigation.
In this exercise, you'll try out your conversion_rate() and plotting_conv() functions out on marketing looking at conversion rate by 'date_served' and 'marketing_channel'.
Cet exercice fait partie du cours
Analyzing Marketing Campaigns with pandas
Exercice interactif pratique
Essayez cet exercice en complétant cet exemple de code.
# Calculate conversion rate by date served and channel
daily_conv_channel = ____
print(daily_conv_channel.head())