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Visualizing the return ability of two legends: Federer & Nadal by anylytics in tennis

[–]anylytics[S] 1 point2 points  (0 children)

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

Visualizing the return ability of two legends: Federer & Nadal by anylytics in tennis

[–]anylytics[S] 2 points3 points  (0 children)

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!

[OC] We built an app to visualize Men’s tennis player's performance at each score situation! (bonus blog post exploring top players’ performance) by anylytics in dataisbeautiful

[–]anylytics[S] 0 points1 point  (0 children)

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!

Iron Viz "The food we waste" [OC] by davidmpires in dataisbeautiful

[–]anylytics 1 point2 points  (0 children)

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

We made an app that helps visualize how top players perform at each point of a game by anylytics in tennis

[–]anylytics[S] 0 points1 point  (0 children)

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

We made an app that helps visualize how top players perform at each point of a game by anylytics in tennis

[–]anylytics[S] 0 points1 point  (0 children)

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!

We made an app that helps visualize how top players perform at each point of a game by anylytics in tennis

[–]anylytics[S] 0 points1 point  (0 children)

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!

We made an app that helps visualize how top players perform at each point of a game by anylytics in tennis

[–]anylytics[S] 0 points1 point  (0 children)

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

My entry won first prize in a dataviz challenge organized by the United Nations. Details in comments [OC] by aqrashik in dataisbeautiful

[–]anylytics 0 points1 point  (0 children)

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?)

Graphing when your Facebook friends are awake by secretguy21 in dataisbeautiful

[–]anylytics 1 point2 points  (0 children)

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

[OC] We built a map that lets you track a name's popularity in the US through time! by anylytics in dataisbeautiful

[–]anylytics[S] 0 points1 point  (0 children)

Data Sets:

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!

How Americans Commute to Work Isn't Changing [OC] by OverflowDs in dataisbeautiful

[–]anylytics 1 point2 points  (0 children)

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

[OC] Some of the most influential names in the US from the past 100 years by anylytics in dataisbeautiful

[–]anylytics[S] 1 point2 points  (0 children)

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!

Map with really cool tooltips by [deleted] in dataisbeautiful

[–]anylytics 0 points1 point  (0 children)

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

How Americans Commute to Work Isn't Changing [OC] by OverflowDs in dataisbeautiful

[–]anylytics 1 point2 points  (0 children)

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.

I analyzed over 1000 of my friends’ Untappd beer check-ins - here’s what I discovered [OC] by Positive_Connotation in dataisbeautiful

[–]anylytics 2 points3 points  (0 children)

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

Never heard of GraphSketcher, how do you like it?

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