Survey results from 52 ECE2T3 4th-Year UofT Students.
Before installing dependencies from the following command, create a virtual environment and install requirements.txt to commence development. Do NOT use Python 3.11 for your virtual env, use 3.10.
pip install -r requirements.txt
When you want to work on visualizing a question (for example, plot a bar chart What Is Your Gender?), assign yourself to that column through this spreadsheet so we don't duplicate work:
https://docs.google.com/spreadsheets/d/1Er5QhbmRjqlDy8VP3qVs7yf_IEnPd11_SMl5wWqZkYc/edit#gid=0
Don't worry, plotly development has a low learning-curve! You can also refer to some of the CODE and HELPER FUNCTIONS I've already written in ECE_Fourth_Year_Opinions.ipynb and setup_notebook.ipynb to get a feel for how to use them to easily generate tables, charts, and even word maps.
Skim both .ipynb notebooks to get an idea of what's possible in Plotly!
Notebook to HTML conversion can be done by running the script jupyter_to_html.sh, using the following command
bash jupyter_to_html.sh
WARNING: If the script does not run, you may have to run the first code cell manually, then run the bash script because the notebook to HTML converter sometimes does not execute magic cell command present in the first cell
(commands prefixed with % or %%).
All code cell INPUTS are automatically hidden by the output html. For example: you will not see Data Cleaning section of the notebook in the output.
To ignore a cell completely from output html, add a cell tag "hide_code" to a cell (See Example Below, where I assign hide_code
to Data Cleaning markdown because I don't want it in the HTML Output. The cell is only for personal reference)
Every markdown cell has natural bottom margins. To remove bottom margins from a cell, add the cell tag "no_margin" to a cell
all_columns.txt: Names of columns
CSS can be configured by changing html_template/static/index.css and html_template/static/index.html.j2. For more info on template customization, see here: https://nbconvert.readthedocs.io/en/5.5.0/customizing.html and https://nbconvert.readthedocs.io/en/latest/customizing.html
If the output of pip freeze > requirements.txt looks weird and contains references to local files (For example, Werzkurg @ "file://mydirectory/myinnerdirectory/werzkurg.bin"). Use this command to store requirements.txt instead.
pip list --format=freeze requirements.txt