https://github.com/mneedham/covid-vaccines

A Streamlit application to visualise the number of COVID vaccines done in the UK using the Altair visualisation library.
https://github.com/mneedham/covid-vaccines

altair covid-19 covid-vaccination covid19-data streamlit

Last synced: about 1 month ago
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A Streamlit application to visualise the number of COVID vaccines done in the UK using the Altair visualisation library.

• Host: GitHub
• URL: https://github.com/mneedham/covid-vaccines
• Owner: mneedham
• License: cc0-1.0
• Created: 2021-03-27T15:07:11.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2021-06-22T09:24:30.000Z (over 3 years ago)
• Last Synced: 2024-04-14T09:10:03.179Z (10 months ago)
• Topics: altair, covid-19, covid-vaccination, covid19-data, streamlit
• Language: Jupyter Notebook
• Homepage: https://share.streamlit.io/mneedham/covid-vaccines/main/analyse.py
• Size: 34.1 MB
• Stars: 0
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.adoc
  • License: LICENSE.adoc

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README

        
= COVID-19 vaccinations in the UK

This is a https://streamlit.io/[Streamlit^] application that makes it easier to visualise the number of COVID-19 vaccinations done in the UK across different dimensions.

It is deployed at https://share.streamlit.io/mneedham/covid-vaccines/main/app.py

== Getting Started

If you want to try it out, you'll need to first clone the repository:

```

git clone [email protected]:mneedham/covid-vaccines.git

cd covid-vaccines

```

=== Install Dependencies

I use https://pypi.org/project/pipenv/[pipenv^] to manage my projects.

If you do too, you can install dependencies by running the following command:

```

pipenv shell

```

If not, you can install the dependencies using pip directly, as shown below:

```

pip install pandas streamlit xlrd openpyxl altair

```

=== Running the application

Once you have the dependencies install, you can launch the Streamlit app using the following command:

```

streamlit run app.py

```

You should see output similar to the following:

```

  You can now view your Streamlit app in your browser.

  Local URL: http://localhost:8501

  Network URL: http://192.168.86.26:8501

```

Now, navigate to http://localhost:8501 to view the app.

If everything has worked, you should see something like the screenshot below:

.Screenshot of Covid Vaccinations app

image::screenshots/screenshot.gif[title="Screenshot of Covid Vaccinations app"]

== The Data

The data is in the https://github.com/mneedham/covid-vaccines/tree/main/data[data] directory and was downloaded from https://coronavirus.data.gov.uk/details/vaccinations. 

* The data for "People who have received 1st dose vaccinations, by report date" is saved as `data/data_-dose1.csv`

* The data for "People who have received 2nd dose vaccinations, by report date" is saved as `data/data_-dose2.csv`