Zegami Sports

Zegami Sports


We’re a visual data exploration tool so
we approach data analytics differently Zegami uses images to represent
information dynamically through data cards that we call zegs what we’re
seeing now is an image created from data let’s begin with the collection for
Major League Baseball you could see every MLB player color-coded by batting
average and marked with the team logo we can view by batting average then go team
by team what we’re going to do is drill through to Boston and then look just at
the Red Sox as you could see as we get closer the zeg has more player data and
you can naturally see some of the key differences between all 25 players now
let’s select a player and on the detailed zeg you can see all his key
stats we also linked out to anywhere detail player pages Twitter profiles all
useful information when you’re making those snap drafting decisions so what
you’re seeing is a really powerful way of visualizing a data set and showing a
tiered level of detailed dependent on what is relevant to you this gets really
powerful when you combine views over here with filters as we move the filter
we’re adding or removing people relevant to that filter now let’s add another
filter by total number of runs combining filters gets you a view which is very
difficult to do any other way and finally most people get excited by a
scatter filter or 2d filter let’s see all the remaining players plotted by
homeruns versus runs batted in and circle those players just imagine how
powerful that is if we do another 2d filter and another let’s now switch to
the English Premier League and to see how we also use pictures as images what
we have here is all 600 players in the Premier League if we click on any of
them then we can instantly zoom in and not only see the player but all the data
associated with each one now let’s start by searching just by text if I type
Manchester you see it zooms in on all the Manchester players now if we keep
searching by text you would just add more items to that box by guessing or
knowing your whole data set but let’s explore instead what you see now is a
bar chart made up of all the players and you not only see the number of players
in each team but who they are and you’re able to see all the data associated with
every one of them so now instead of a text search let’s use a filter what we
can do is select teams we want to analyze in more detail again you get an
instant understanding of the size of each team and who their players are but
now let’s chart this by number of goals scored now off the left foot how about
off the right foot but how about from inside the box you could see how by
exploring the data you’re now discovering a more intuitive feel for
what you’re exactly looking for and do the same thing with everyone it’s
powerful isn’t it?! And of course this is a tiny data set of just 600 players we
can do exactly this with tens of thousands of data points so in a
nutshell that’s visual data exploration that’s Zegami

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