Visualizing productivity within blocks by incentive
Continuing with the worker productivity example, you'll explore if the productivity scores are distributed throughout the data as one would expect with random assignment of treatment. Note that this is a precautionary step, and the treatment and follow-up results on the impact of the three treatments is not done yet!
seaborn and matplotlib.pyplot as sns and plt respectively are loaded.
Den här övningen är en del av kursen
Experimental Design in Python
Övningsinstruktioner
- Visualize the productivity scores within blocks by treatment using a boxplot with
'block'forx,'productivity_score'fory, and'Treatment'forhue.
Interaktiv övning med praktiskt arbete
Testa den här övningen genom att slutföra den här exempelkoden.
# Make a plot showing how productivity_score varies within blocks
sns.____(x='____',
y='____',
hue='____',
data=prod_df)
plt.show()