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: 11 days 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 (3 months ago)
• Default Branch: main
• Last Pushed: 2024-07-28T18:23:41.000Z (3 months ago)
• Last Synced: 2024-07-29T15:42:07.087Z (3 months 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: 2
• 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)

![screenshot of pie chart showing occupation data for Sheffield](./images/pie.png)

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 [email protected]: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;

                }

```