Dynamic Analysis Of Top 500 Android Apps
Written by Lucy Black   
Sunday, 15 June 2014

Data presentation is difficult when you have a lot of data, but often the only way you can understand anything is to have a lot of data. Clever dynamic presentation allows the exploration of the top 500 Android apps by revenue - and there is a lot to learn.

Winnie Tong took the data from Droid meter and using the JavaScript library d3.js built a visualization that initially looks horribly complicated - but don't be fooled. You can interact with the visualization to investigate the data in ways that would be impossible otherwise. 

 

androiappchart1

 

You can reorder the axes by dragging, invert them by tapping and remove them by dragging to the edge. More importantly, you can restrict the region on display by dragging on any axis as well as filtering by app category or keyword. The result is that you can see the characteristics of the filtered set.

For example, if you restrict your attention to the top 150 best earners and rearrange the axes a little then you can see that the majority are free and that the ones that charge have a lot fewer installs.

 

androiappchart2

 

Don't just look at the static examples above. Make sure you visit the site and try the dynamic display. Even if you are not interested in Android rankings or how to set up your app to do better, the presentation is worth seeing.

Also as this is a repository on GitHub you can fork Winnie Tong's code to create your own dynamic display.

 

 androiappcharticon

 

More Information

Top 500 Grossing Apps

Related Articles

KitKat Increases Its Share Of The Pie

Android Dominates In Tablet Market

Google Play Introduces New Analytics 

 

To be informed about new articles on I Programmer, install the I Programmer Toolbar, subscribe to the RSS feed, follow us on, Twitter, FacebookGoogle+ or Linkedin,  or sign up for our weekly newsletter.

 

Banner


IBM Updates Granite Models
28/10/2024

IBM has released new Granite models that it says provide state-of-the-art performance relative to model size. The Granite 3.0 collection includes a new, instruction-tuned, dense decoder-only LLM.



Gender Differences In Coding Style
13/11/2024

A novel investigation into the gender gap between men and women regarding coding ability was undertaken by Dr Siân Brooke. Her conclusion? There is a difference in the Python code [ ... ]


More News

 

espbook

 

Comments




or email your comment to: comments@i-programmer.info

Last Updated ( Sunday, 15 June 2014 )