Challenge: Plotting Hists
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In this task, you need to draw histograms of the 'Click' column for the control and test samples. This is done to better understand the shape of the distribution of our data.
- Import libraries.
- Read the files.
- Plot the histograms.
Løsning
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# Import libraries
import pandas as pd
import matplotlib.pyplot as plt
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=';')
# Plotting hists
sns.histplot(df_control['Click'], color="#1e2635", label="GroupA")
sns.histplot(df_test['Click'], color="#ff8a00", label="GroupB")
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Seksjon 2. Kapittel 5
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# Import libraries
import ___ as pd
import ___ as plt
import ___ as sns
# Read .csv files
df_control = pd.___('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/c3b98ad3-420d-403f-908d-6ab8facc3e28/ab_control.csv', delimiter=';')
df_test = pd.___('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/c3b98ad3-420d-403f-908d-6ab8facc3e28/ab_test.csv', delimiter=';')
# Plotting hists
sns___(df_control___, color="#1e2635", label="GroupA")
sns___(df_test___, color="#ff8a00", label="GroupB")
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