I am happy to announce a new web app I have created for exploring card spending of the Kent County Council. Card spending items are payments made using purchase (Visa) cards to pay for things where there was no existing council procurement contract. The Council publishes all purchase card spend over £250 on a monthly basis.
You can view the running app here. It is still a bit of “work in progress”, thus I will make the source code available on Github as soon as it is finished.
The app is built using Shiny, the web application framework for R created by RStudio. This is the sixth app that I have created using Shiny. If you are interested in viewing the other statistical web applications that I have created, here is a list of them:
- Crime and Policing in Great Britain
- Thanet Council Spending
- Country Credit Rating
- Parametric and Non-parametric Models in Forecasting /due to some technical issues (INLA is not available via Shiny) source code is available to download and run locally.
- Age Structured Pacific Salmon Population Model available to download from Github here.
Many police departments in the United Kingdom have turned to data science to translate data into actionable insights. However, the efforts that go into designing an effective predictive policing strategy involve many challenges relating to data; gathering, processing, cleaning, manipulating, and visualising data so that predictive engines are simple to understand and at the same time accurate enough to be useful.
Web application I want to present today is a simple graphical overview of crime and police forces’ performance data that enables direct comparison of different regions and areas in a “compact” and easy way. You can view the running app here. It allows users to create and customise graphical data summaries (i.e. boxplots, heatmaps) and spatial visualisation in a few clicks without prior knowledge of R; statistical programming language used in this project.
One more thing I would like to mention here is that it is a self-learning project that I am doing for fun and in my spare time.
This blog is all about data potential; I talk about data analytics, R language, data science, ideas and challenges. If you are a sole trader looking for new tools to ease the headache of tracking bookkeeping aspects of your business, you’ll find them here too. I know that I will benefit from this project. Any benefit to others will be extremely satisfying and help address my debt to all the authors that have educated me over the years.