Makeover Monday Week 6 – Ann’s Take, Big Data Style

Week 6 is here – and it’s big data style!  We were kindly granted VIP access to an EXASOL playground to dive in (thinking about diving into one of Christopher’s bubble charts) and play.  Loads of Chicago taxi data was available for us to consume.

So let’s get started!  Design here is on point – it just flows.  Christopher has done a fantastic job of framing the scene with two bar charts and maps on either side encasing more visuals in the center.  If I were eye tracking – my eyes are initially drawn to the taxi and then quickly dart up to the nagging question “Are Chicagoans bad tippers?”  From there the bubble chart works in harmony with the shapes used for location points.  Choice of color works well too.  I love the white background, muted maps, and yellow emphasis to mirror the taxi color.

There’s a lot of data housed here, but no numbers immediately visible – really truly data visualized.  Christopher has accomplished in this design a completely interactive analytical tool requiring the end user to ingest and synthesize the data.  I like that I know it’s millions of records, but the final presentation doesn’t evoke massive and incomprehensible.

Opening up the dashboard and checking out what’s under the hood – I’m equally impressed.  Everything about this workbook has been organized for easy maintenance, understanding, improvements, and/or reconstruction.

Just look at the names of the sheets:

And the fields:

So clean and precise.  Just like the visualizations.  My brain thanks you.  There’s a famous saying that the more simple something is, the harder it was to design.  I think that’s very true of this visualization.  Knowing the data piece and how much was there, succinctly making a single symmetrically framed visualization forcing (pleasantly, passively forcing) the users to interact, indicates a high level of sophistication in my book.