Wednesday, 22 January 2014

CrimeMap, LondonR and a Book Review


In preparation for my LondonR talk in March, I am polishing up my CrimeMap (see previous blog post here and here) in my spare time.

Thanks to Chris Beeley and Packt, I won a free e-copy of Chris Beeley’s book following his great talk about Shiny web app during the last LondonR meeting. I find this book really useful as I am trying to implement new functionality and ideas into my CrimeMap. It illustrates very well what you can do with Shiny using lots of practical examples. So here is a quick book review for those who are also interested in developing Shiny web apps.

The book begins with a short but essential introduction to some key R functions for handling data and graphics. Chapter 2 is a walk-through of key Shiny components nicely demonstrated by an example of Google Analytics API integration. It then discusses how Shiny can be further extended with the use of HTML, CSS, JavaScript and jQuery. I find chapter 4 most useful as it goes deep into the practical aspects of handling reactivity and taking full control of inputs and outputs. The book ends with some tips on code sharing and browser compatibility.

I hope you will find this short review useful. Reviews from others can be found here, here and here. 

 BTW, LondonR is great (thank you very much Mango Solutions for sponsoring it since 2009)!!! You can find the presentations from previous meetings here.
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  10. Gouse14 September 2024 at 07:56

    This post covers so many interesting areas! The CrimeMap project sounds like a fantastic application of data visualization for social good, especially in a city as complex as London. It's always great to see practical applications discussed at LondonR, and the book review at the end was a nice touch—providing a well-rounded perspective on the topic.

    I'd love to hear more about the technical challenges you faced while building CrimeMap. Any insights on how different datasets were handled?

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  11. Digital26 September 2024 at 07:53

    Great overview of CrimeMap and its applications in understanding crime data in London! Your insights into LondonR are also incredibly valuable, especially for those looking to visualize and analyze urban data effectively. I appreciate how you connected these tools with a book review, providing a comprehensive perspective on the resources available for R users. It would be interesting to see some examples of how CrimeMap has influenced public policy or community awareness in London. Thanks for sharing this informative piece—it's a wonderful resource for both data enthusiasts and professionals!

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