Articles by Jun Ma - Data Blog

Convert Car2go Austin into an EV Fleet

February 21, 2016 | Jun Ma - Data Blog

Code is published on my github.Previously, I did some analysis on car2go's location data to find the most popular roads in Austin. But we can do much more. One question I have is: if car2go wants to replace the entire Austin fleet with electric vehicles, where should ... [Read more...]

Build your own neural network classifier in R

February 6, 2016 | Jun Ma - Data Blog

​IntroductionImage classification is one important field in Computer Vision, not only because so many applications are associated with it, but also a lot of Computer Vision problems can be effectively reduced to image classification. The state of art tool in image classification is Convolutional Neural Network (CNN). In this article, ... [Read more...]

NBA Stat in a Shiny App

January 16, 2016 | Jun Ma - Data Blog

IntroductionShiny app is a new way to present data interactively. Unlike methods like D3, shiny performs complex calculation in real time. As a result, shiny app is more powerful and versatile. However, this also means one cannot simply embed an interactive shiny app in an html document. It needs to ... [Read more...]

Where did the cars go? (part 2)

December 8, 2015 | Jun Ma - Data Blog

Part 1 demonstrates how to grab the location data of the cars (and other status, like fuel, cleaness etc.) at a given time from Car2go API. However, in order to show how did the car moved over an extended period, we need to do a timed loop to grab the ... [Read more...]

Where are the cars?

December 5, 2015 | Jun Ma - Data Blog

After I published an article on how to scrape advanced shooting data from, a friend of mine contact me to see whether I may be able to scrape some data from zipcar or car2go’s API. So I looked into it and found it is quite ... [Read more...]

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)