Plots to Compare
I advise you to compare 2 groups from the A/B using the criterion and other comparing methods. For example, we can build 2 distplots:
One distplot for the control group;
The second one for the test group.
After building plots, we can't say if we can believe our A/B test, but we can see approximately what results we will receive.
Tarefa
Swipe to start coding
- Build the distpot using the
seabornlibrary for thedf_control. - Build the distpot using the
seabornlibrary for thedf_test.
orange color - test group, blue color - control group.
Solução
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# Importing the pandas
import pandas as pd
# Importing the seaborn
import seaborn as sns
# Reading the file
df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/ae14b913-9d96-48cb-ace7-a332315f7cf4/ab+test+1.csv')
# Control group
df_control = df.query('group == "control" ')
# Test group
df_test = df.query('group == "test" ')
# Build the distpot for the df_control
sns.distplot(df_control.clicks)
# Build the distplot for the df_test
sns.distplot(df_test.clicks)
Tudo estava claro?
Obrigado pelo seu feedback!
Seção 2. Capítulo 5
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# Importing the pandas
import pandas as pd
# Importing the seaborn
import seaborn as sns
# Reading the file
df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/ae14b913-9d96-48cb-ace7-a332315f7cf4/ab+test+1.csv')
# Control group
df_control = df.query('group == "control" ')
# Test group
df_test = df.query('group == "test" ')
# Build the distpot for the df_control
sns.___(___.clicks)
# Build the distplot for the df_test
___
Pergunte à IA
Pergunte o que quiser ou experimente uma das perguntas sugeridas para iniciar nosso bate-papo
