Explore UC Berkeley grade distribution data from Cal Answers.

This project contains the data and processing code used to generate the Daily Cal's interactive graphic about the most difficult departments on campus.

Python 2.7.x, Postgres, and the packages in requirements.txt.

Create a new virtualenv and clone the repository.

virtualenv grades
git clone https://github.com/dailycal-projects/grades.git

Create a Postgres database. For example, if you wanted to call it grades:

createdb grades

Set the following environment variables using EXPORT VARIABLE = 'VALUE':

• DJANGO_SECRET_KEY: a secret key (usually a randomly generated string)
• DJANGO_SETTINGS_MODULE: use ucbgradedists.settings.local if you're in a development environment, and ucbgradedists.settings.production in production.
• DATABASE_URL: a URL to your database. See the dj_database_url README for the format.
• ADMIN_NAME, ADMIN_EMAIL: a name and email for the admin of the site.
• EMAIL_HOST_USER, EMAIL_HOST_PASSWORD: Gmail user and password for the email to send from.
• SERVER_EMAIL: the email that the server should send emails from (to admins/managers).

Migrate the database.

python manage.py migrate

Run a series of management commands to import data and compute statistics. These can be run in succession with a meta-command.

python manage.py setup

This will call:

• python manage.py import_all to import data from all CSV files in a directory.
• python manage.py import_disciplines to import a mapping of subjects to academic disciplines.
• python manage.py compute_stats to compute statistics.

This project is covered by the MIT License in LICENSE.txt.