It’s more than just a buzzword. All sorts of brainiacs and innovators are fishing the ether, reeling in big data and cooking up some tasty filets of numerical goodness. It’s all very exciting, and frankly it makes SmallBox hungry to get in the game.
Our most recent (re)launch is the Million Dollar List (MDL), which in concert with our partners over at the Lily Family School of Philanthropy, allows users to interact with and visualize a truly unique, and constantly growing, data set. We originally built this site back in 2011, turning what was previously a nearly inaccessible jumble of philanthropic data into a true database, complete with Google charts to dynamically display the data relationships. At the time, it was a huge undertaking with a tight timeline, the entire project taking less than twelve weeks, conception to launch.
In retrospect, it was just the beginning.
The new and improved MDL has a few truly awesome upgrades, including a new, sleek design, the implementation of “data stories” and a much more robust database and data importer. But what this post is going to focus on is the charts.
We love the charts!
The amplified charts and graphs are powered by Highcharts, but they were also modified and upgraded by our own developer. The charts now allow users to switch between the data that is being viewed, such as number of donations per year or total dollars received per year by subsector, and also to change the way in which the data is viewed between stacked bar charts (above, left), maps (above, right), line graphs (below, left), percent area charts (below, right) and pie charts.
Even more impressive is the amount of customization that users can do in order to view the data that is most valuable to them. Users can click on a recipient or donor to view their entire history of gifts given or received. A researcher can click on a state to see how much money has come out of the state, or gone into it from million dollar donations. One can even click on a year to drill down and view the data more granularly.
I could go on, but it is probably just easier if you go to the site and play with the charts yourself. Interact with this Indiana-grown big data set. It is truly one of a kind. Try not to get lost!