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.
Deze oefening maakt deel uit van de cursus
Experimental Design in Python
Oefeninstructies
- Visualize the productivity scores within blocks by treatment using a boxplot with
'block'forx,'productivity_score'fory, and'Treatment'forhue.
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
# Make a plot showing how productivity_score varies within blocks
sns.____(x='____',
y='____',
hue='____',
data=prod_df)
plt.show()