jeffsackmann / tennis_slam_pointbypoint Goto Github PK
View Code? Open in Web Editor NEWPoint-by-point data for Grand Slams, 2011-current
Point-by-point data for Grand Slams, 2011-current
Hi
Is there any possibility that we can avail timestamp data.
Hi Jeff,
Appears that there are 67 items in each column, but only 65 column headers.
headers = "match_id,ElapsedTime,SetNo,P1GamesWon,...,ServeWidth,ServeDepth,ReturnDepth"
first_row = "2017-ausopen-1101,0:00:00,1,0,...,,,"
print(len(headers.split(",")))
>>> 65
print(len(first_row.split(",")))
>>> 67
Hi, I just have a quick question. How are the P1 Momentum and P2 Momentum figures calculated?
Thanks!
The Grand Slams point-by-point data includes the following variables and entries:
ServeWidth = {"B", "BC", "BW", "C", "W"}
ServeDepth = {"CTL", "NCTL"}
ReturnDepth = {"D", "ND"}
ServeIndicator = {1, 2}
Serve_Direction = {0, 1, 2, 3}
Could I know what these mean? Thanks.
Hi @JeffSackmann, just wanted to say thanks for putting this together and sharing it with the world. I used your data from the 2015 Australian Open for a school project about Serena Williams and credited you.
I'm getting a lot of conflation between men's and women's when I do entire point-level aggregations. I would like to separate them obviously but before I do so I want to run this by @JeffSackmann and any other maintainers to make sure nobody has a local fix for this already.
> df %>% group_by(event_name) %>% count
# A tibble: 5 ร 2
# Groups: event_name [5]
event_name n
<chr> <int>
1 event_MS 52105
2 event_WS 30912
3 Men's Singles 36666
4 Women's Singles 26380
5 NA 1526475
Wrt how to fix it I was thinking of a simply
SetNo >= 4
for all points in a match_id
) -> these are obviously men, fill event_name
.SetNo <= 2
for all points in a match_id
) -> these are obviously women, fill event_name
.Hi,
does anyone have an idea what does History column stand for?
Might you care to add a section in the README.md describing how the data was obtained?
Is there a way to get up-to-date data during a tournament (e.g. Wimbledon)?
And if so, what's the latency? end-of-day?
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.