Hello everyone and welcome to QlikFreak. I know it’s been a while since our last post, I’m sorry! We’ve been very busy with new projects, hiring extra consultants for our firm and signing some interesting partnerships. In fact, I’m glad to announce that Evolcon is now an official Qlik Implementation Partner, so if you need any help in developing stunning apps or fine-tuning your current platforms, be sure to visit our website and leave us a message. We’ll be happy to assist you on-site or remotely 😉
Now, for today’s post I want to share an interesting Qlik Sense app I’ve been working on. Yeah, you heard that right, Qlik SENSE. I must admit that once you create a robust extension library and get used to the not-so-flexible grid system, developing in Sense can be quite fun too (especially after the June 2017 release with the R / Python integration, visual data preparation and cool new charts). So let’s get started, because today we’ll go out for a ride!
Today’s post is about Ecobici, Mexico City’s public bike sharing system. Before diving into the data, let me tell you how it works. Any citizen can buy an annual subscription to this program for $416 MXN (around $24 USD) and get unlimited access to the bike network (there are also weekly plans for visitors). The idea is simple: you get to one of the 450 stations around the city, swipe your card and pick up a bike.
Once you get to your destination (same or different station), you secure the bike to the bar and swipe your card once again. Easy, right? You can perform all the trips you want from 5 am until midnight (Mon-Sun) as long as they last less than 45 minutes. If you break that rule and keep the bike more time, you’ll have to pay an extra fee.
As most of the public programs in the city, Ecobici shares some information about its operations directly in their website. There’s a REST service for the catalogs and a couple of CSV files for the trips, so I decided to create an application to analyze how cyclists behave in my hometown. Continue reading