Giter Site home page Giter Site logo

brexit's Introduction

Visualisation of the results of the UK EU Referendum June 2016

This project now is on my blog https://xinye1.github.io/projects/brexit-cartogram-leaflet/

Introduction

The Referendum took place on 23rd June 2016 in the UK to decide whether the country would remain a member of the European Union (known as Remain, and the other side is Leave).

And it went wrong, Leave won.

Post referendum the Remain camp struggles to understand the result, and the general belief is that a small number of regions, albeit with significant populations, overwhelmingly voted Remain, while the rest of the country voted Leave, resulting in a insignificant margin towards the Leave camp.

This visualisation attempts to provide a view on the population / region / proportion arguments.

Notes

  • The R scripts are written inside an RStudio project, which has the working directory in the root folder, therefore all the file reference has data/ in the front.

brexit's People

Contributors

xinye1 avatar

Stargazers

 avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.