Group clusters
An ongoing 2016 survey aims to measure attitudes towards mental health in the tech workplace, and examine the frequency of mental health conditions among tech workers. This is an online survey for participants in the tech industry.
The dataset, mh_survey, includes the gender of the respondent, the US state they live in,US_state_live, and whether they have sought treatment for their mental health through their employer, sought_treatment.
pandas and matplotlib.pylot has been uploaded for you as pd and plt, respectively.
This exercise is part of the course
Analyzing Survey Data in Python
Exercise instructions
- Group the population into clusters of
US_state_liveand calculate the number of respondents. - Plot a bar graph of the number of respondents by
US_state_live.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Group population into clusters and calculate respondents
groups = mh_survey.____(____)[____].____.reset_index()
groups.columns = ['US_state_live','count']
# Plot a bar graph of number of respondents by US_state_live
groups.____.____(____,y='count')
plt.show()