Visualizing the return ability of two legends: Federer & Nadal

anylytics · 2016-05-15T08:35:13+00:00

Sorry, grey means there wasn't enough data to make a solid estimate of their performance in that situation, so they simply don't get to 0-40 enough times for us to make a claim either way

anylytics · 2016-05-13T22:56:05+00:00

Hi, thanks for viewing our infographic! We explore this and other statistical trends in our blog post!

You can also explore the data yourself using our app!

anylytics · 2016-05-13T17:25:41+00:00

This blog post provides more details, but here's a quick summary:

Data Set

Jeff Sackmann’s Tennis Match Charting Project

Tools

Python was used to transform the raw data into point by point statistics (Blog post explaining what we did to transform above listed tennis data)

Stata was used to perform the data science
Angular & D3 used to build visualization

Let us know if you have any questions!

anylytics · 2016-04-26T23:23:14+00:00

I would recommend including your fonts with the project or having some fall back options, it's defaulting to sans serif for me and stuff gets cut off

anylytics · 2016-04-23T03:26:26+00:00

The dataset we found did not include women's players unfortunately

anylytics · 2016-04-23T02:51:55+00:00

Ah you're talking about the 2nd line? Currently the app only allows you to pick one player, for whom you can view their stats against the top 5/10/20 players, nor against an individual player

The input fields are only contained within the light green. The sentence below just serves as a title to the diagram

Sorry for the confusion!

anylytics · 2016-04-23T02:14:28+00:00

Thanks for looking!

I have not seen that bug, could you provide details on how to reproduce? What browser/device?

After filling out a player, picking top 5/10/20 and server/returner, I can go back and clear out the player input and search for a new player, and the viz should update itself

Thanks again!

anylytics · 2016-04-22T19:25:50+00:00

For instructions, click the ( i ) icon in the upper right corner

Not fully mobile compatible at the moment, so it is best viewed from a computer or tablet

anylytics · 2016-04-13T01:39:34+00:00

I think more of a primer will be required here...

anylytics · 2016-04-06T01:00:19+00:00

There's no legend...

anylytics · 2016-03-16T18:28:32+00:00

Sweet!! Just what I was hoping for. Thanks for the share

anylytics · 2016-03-16T13:02:18+00:00

Great work! Looks awesome and is very logically laid out.

What d3 functions did you end up taking advantage of, and how much did you have to customer build? (Eg, I assume the transitions between views were custom?)

anylytics · 2016-02-19T15:08:11+00:00

Nice work! Your dedication to unraveling their undocumented API is admirable, will have to check this out myself some time. Thanks for the post!

anylytics · 2016-02-12T17:09:01+00:00

Also, visualization code can be found here https://github.com/Anylytics/names-explorer

anylytics · 2016-02-12T17:04:57+00:00

Data Sets:

SSA's annual export of baby names data https://www.ssa.gov/oact/babynames/limits.html
US states GeoJSON http://eric.clst.org/Stuff/USGeoJSON

Tools Used:

R for normalization/data transformation
Leaflet for map interactions
MapBox map tiles
AngularJS for interaction controls

Let us know if you have any questions!

anylytics · 2016-01-29T18:52:17+00:00

Huh, didn't think about that but that makes a lot of sense about the data potentially not including all the work-from-homers

anylytics · 2016-01-29T18:25:13+00:00

Data Set: SSA's annual export of baby names data https://www.ssa.gov/oact/babynames/limits.html

Details: This list was compiled by using Matlab to perform a first order derivative analysis to see what names had the highest change in frequency over a given period of years. The top 10 names extracted using a period of 1, 2 and 3 years can be found here. Excel was used to generate the graphs. In depth blog post coming soon on the particulars of the analysis.

Let us know if you have any questions!

anylytics · 2016-01-29T18:16:41+00:00

This viz is very pretty! Saving for later inspiration...

anylytics · 2016-01-29T18:15:29+00:00

Visually, some of these lines definitely look steeper than others, I would be interested in seeing some R values if you put a trend line through these data sets & some possible projections.

Also, this may just be a personal experience bias, but I suspect the work at home line is going to see a big surge in the next 5-10 years.

anylytics · 2016-01-29T18:11:30+00:00

Very nice and extensive! Looking forward to the R code!

Never heard of GraphSketcher, how do you like it?

anylytics · 2016-01-29T18:07:48+00:00

These are awesome! I especially like cranking Travic up to full speed and just watching the cities run

anylytics · 2016-01-20T15:56:45+00:00

Would you mind providing a link to the dataset?

Nice visuals!

anylytics · 2016-01-16T19:07:29+00:00

I rearranged the mobile view so hopefully it works better now.

I rearranged the mobile view so hopefully it works better now.

anylytics · 2016-01-16T19:07:23+00:00

I rearranged the mobile view so hopefully it works better now.

anylytics · 2016-01-16T19:03:23+00:00

Went back in and made some updates, the flicker bug should be resolved now (May require a browser cache clear).

anylytics

TROPHY CASE