https://github.com/alifeee/occupation-data
Plotting Industry and occupation data from the ONS 2021 Census
https://github.com/alifeee/occupation-data
census data-visualization employment occupation office-for-national-statistics ons pie-chart
Last synced: 12 months ago
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Plotting Industry and occupation data from the ONS 2021 Census
- Host: GitHub
- URL: https://github.com/alifeee/occupation-data
- Owner: alifeee
- Created: 2024-07-28T13:43:14.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2025-02-12T11:51:17.000Z (over 1 year ago)
- Last Synced: 2025-06-19T00:43:47.840Z (about 1 year ago)
- Topics: census, data-visualization, employment, occupation, office-for-national-statistics, ons, pie-chart
- Language: Jupyter Notebook
- Homepage: http://server.alifeee.co.uk/occupation-data/
- Size: 1.24 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Occupation data
Plotting Industry and occupation data from the ONS 2021 census.
See example on or in [`plot.ipynb`](./plot.ipynb)

Dataset:
## Use
Install required Python modules
```bash
python -m venv env
. ./env/bin/activate
pip install -r requirements.txt
```
## With Jupyter Notebook
Open `plot.ipynb`.
## As a CGI script
Install to location
```bash
mkdir -p /var/www/cgi/
cd /var/www/cgi/
git clone git@github.com:alifeee/occupation-data
cd occupation-data
python -m venv env
. ./env/bin/activate
pip install -r requirements.txt
```
Install fastcgi
```bash
sudo apt-get install fastcgi
```
Add the following to nginx config
```nginx
location /occupation-data/ {
fastcgi_index index.cgi;
fastcgi_intercept_errors on;
include fastcgi_params;
fastcgi_param SCRIPT_FILENAME /var/www/cgi/$fastcgi_script_name;
fastcgi_pass unix:/var/run/fcgiwrap.socket;
}
```