I am working on a super-secret project for which I am harvesting a highly confidential source of data: twitter ? The idea is to gather a small amount of twitter data, but for a long time… maybe a year. I tried to use the package TwitteR, but it can only  grab ...

Shiny is awesome, but can be a bit daunting and easy to make mistakes in. I recently came back to Shiny after a hiatus of a few years and it was much more challenging than I feel comfortable admitting. I was making bonehead mistakes like writing something instead of output$...

There are many ways to automate your scripts running, for example using RScript, or in-R itself (and now even as an add-in for RStudio) (check all here). But after a while, it can get a bit overwhelming to track tasks and ensure they are firing as planned. In order to ...

Dashboard Tiles/Notecards are a great way to visualize just one number, and make it big and pretty. They can emphasize results in an easily digestible and colourful format. I was surprised that there was no way to create tiles offline (there is however a very good online version in ...

So Key Performance Indicators (KPIs) are all the rage in the dashboarding community… well everywhere really. The premise is simple… check a list of measurements against targets and show how they compare using some kind of visualization. I haven’t yet seen, however, a version that can utilize animated icons ...

This post explores the inter-relationships of StackOverflow Tags for R-related questions. So I grabbed all the questions tagged with “r”, took the other tags in each question and made some network charts that show how often each tag is seen with the other tags. The point is to see the ...

In the midst of our random data exploration, Laure and I started playing around with Hadley’s movies dataset and noticed that there were a lot of old cartoon animations… I mean REALLY old. So we got excited and wondered if we could find Youtube links for all these old ...

When I told my friends that I wanted to give my girlfriend an infographic of us (centered around a sentimental analysis of our texts) as a gift for our first anniversary, most of them told me that was a terrible idea. Yeah… well… CHALLENGE ACCEPTED!! Without further ado, this is …

Visualizations made for FAO AQUASTAT: After individual Irrigated Crop Calendars for all countries were combined, it allowed for some interesting analysis of global irrigation. These included “The Big Picture” (at two levels of resolution), as well as viewing irrigation by region and by crop. All explanations and visualizations on: http://...

A visualization prepared for FAO AQUASTAT: In an interest to simplify the information about renewable water resources in all countries in the world, we prepared simplified visualizations of water flows through a country. Please navigate to the AQUASTAT Water Resources page and use the “Figures” dropdown to see the flow ...

So I had a happy little blog… no one really paid attention, but I didn’t much care because I was happy. And then I posted one of my visualizations to reddit. This is what happened: (None of the log analyzers I found would make a plot like this so ...

These visualizations were performed for FAO AQUASTAT. These treemap charts allow for hierarchical organization of information of different types. In the image above, for example, the irrigation areas for each country are represented as the big boxes, within which the technology utilization is displayed in different colors. This allows users …

A visualization generated for AQUASTAT of FAO. Two types of charts were prepared: Sankey and Network. The Sankey plots allow for an ‘automatic sorting’ of countries based on who is the water tower and who is the water source. This visualization is useful to demonstrate where a country falls on ...

The Hooktheory.com database contains analyses of over 5000 songs*. These analyses are uploaded by users and allow for all these songs to be analyzed in bulk, as well as individually. One of these ‘all song’ analyses enables users to gather chord progressions on ALL songs (see the analysis file to …