[x] Create a GitHub repo called consumer-complaints
[x] Put README.md and requirements.txt files in it
[x] Make sure any necessary libraries are in requirements.txt
[x] Make sure your consumer-complaints folder has its own virtual environment (.envrc), but do not commit .envrc or .direnv
[x] Install the requirements using pip install -r requirements.txt
[x] Normal mode
[x] Read in the data file
[x] Calculate and chart:
[x] Number of complaints by product
[x] Number of complaints by company (top 10)
[x] Number of complaints by company response
[x] Mean number of complaints by day of the week
[x] Any other insights you find interesting
[x] Summary text for each chart
[ ] Hard mode
[ ] Combine the complaints data with the population of each state and chart the frequency of complaints by state per capita
[ ] Find statistically significant outliers of # of complaints by ZIP code and try to find a possible reason for the outliers
[ ] Nightmare mode
[ ] Make an infographic of a map of the US, showing the frequency of complaints per capita using shading of each state, with lighter colors representing low frequency and darker colors representing high frequency
consumer-complaints
README.md
andrequirements.txt
files in itrequirements.txt
consumer-complaints
folder has its own virtual environment (.envrc
), but do not commit.envrc
or.direnv
pip install -r requirements.txt