Challenge: The Last U-Test

Tâche

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In this task, you need to determine which of the median is greater. For this, we will use box plots.

Define the metric.
Build a box plot.

Solution

# Import libraries

import matplotlib.pyplot as plt

import pandas as pd

import seaborn as sns

# Read .csv files

df_control = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/c3b98ad3-420d-403f-908d-6ab8facc3e28/ab_control.csv', delimiter=';')

df_test = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/c3b98ad3-420d-403f-908d-6ab8facc3e28/ab_test.csv', delimiter=';')

# Define the metric

df_test['Average Earnings per Click'] = df_test['Earning'] / df_test['Click']

df_control['Average Earnings per Click'] = df_control['Earning'] / df_control['Click']

# Add to the dataframes columns-labels, which mean belonging to either the control or the test group

df_control['group'] = 'Contol group'

df_test['group'] = 'Test group'

# Concat the dataframes and plotting boxplots

df_combined = pd.concat([df_control, df_test])

sns.boxplot(data=df_combined, x='group', y='Average Earnings per Click', palette=['#1e2635', '#ff8a00'],

medianprops={'color': 'red'})

# Sign the axis

plt.xlabel('')

plt.ylabel('Average Earnings per Click')

plt.title('Comparison of AEC')

# Show the results

plt.show()

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Section 5. Chapitre 6