“We can lift ourselves out of ignorance, we can find ourselves as creatures of excellence and intelligence and skill.”
“Heaven is not a place, and it is not a time. Heaven is being perfect.”
“Your whole body, from wingtip to wingtip, is nothing more than your thought itself, in a form you can see. Break the chains of your thought, and you break the chains of your body, too.”
From Jonathan Livingstone Seagull, by Richard Bach
The metamorphosis is complete, from eggs to the butterfly. My R package yorkr , went on to becomeGoogly, and then toGooglyPlus and now finally GooglyPlusPlus. My latest R Shiny app now provides interactive visualisation of almost all data in Cricsheet . GooglyPlusPlus visualizes the following matches
1. ODI (men)
2. ODI (women)
3. Intl. T20 (men)
4. Intl T20 (women)
5. IPL (Indian Premier League)
6. BBL (Big Bash League)
7. NTB (Natwest T20)
8. PSL (Pakistan Super League)
9. WBBL – Women’s BBL
GooglyPlusPlus is entirely based on my R package yorkr. To know more about yorkr see ‘ Revitalizing R package yorkr ‘ and the roughly 25 posts on yorkr inIndex of posts
This Shiny app was quite involved and it took a lot of work to keep things organized and separate for the different forms of cricket. Anyway it is done and I am happy with the outcome.
Before you use the app, I would suggest that you take a look at the “ How to use GooglyPlusPlus? “. In this video, I show the different features of GooglyPlusPlus and how to navigate through them.
Check out GooglyPlusPlus Shiny at GooglyPlusPlus
You can clone/fork and play around with the code of GooglyPlusPlus here at Github
A. Highlights of GooglyPlusPlus.
The R Shiny app GooglyPlusPlus has the following main pages for the 9 different cricket formats. See below
Important note: Below I will be including some random output from the GooglyPlusPlus app for different match formats, however there is a lot more features in GooglyPlusPlus
1. Indian Premier League (IPL)
a. IPL batsman – Batsman Runs vs Deliveries
b. IPL Match – Match batting scorecard
c. Head-to-head between 2 IPL Teams – Team Batsmen Batting Partnership All Matches
d. Overall Performance – Team Bowling Scorecard Overall
2. International T20 Men
a. Batsman Function- Runs vs Strike rate
b. Bowler Function – Mean Economy Rate
3. International T20 (Women)
a.Batsman Functions – Batsman Cumulative Average Runs
b. Intl T20 Women’s match – Match worm Graph
4. Big Bash League (BBL)
a.Head-to-Head: Team batsmen batting partnerships
b. Overall Performance – Team batsmen vs bowlers
5. Natwest T20 (NTB)
a. Head-to-head : Team bowlers vs batsmen
b. Batsman Runs vs Deliveries
6. Pakistan Super League (PSL)
a. Overall Performance – Batsmen Partnership
b. Bowling Scorecard
7. Women’s Big Bash League (WBBL)
a. Bowler wicket against opposition
8. One Day International (ODI) Men
a. Batsman Runs Against Opposition
b. Team Batsmen against bowlers
9. One Day International (ODI) women)
a. Match Batting Scorecard
b. Batsman Cumulative Strike Rate
Conclusion
There you have it. I have randomly shown 2 functions for each cricket format. There are many functions in each tab for the for the different match formats – namely IPL, BBL, Intl T20 (men,women), PSL etc. Go ahead and give GooglyPlusPlus a spin!
To try out GooglyPlusPlus click GooglyPlusPlus . Don’t forget to check out the video How to use GooglyPlusPlus?
You can clone/fork the code from Github at GooglyPlusPlus
Hope you have fun with GooglyPlusPlus!!
You may also like
1. Big Data 6: The T20 Dance of Apache NiFi and yorkpy
2. Deep Learning from first principles in Python, R and Octave – Part 7
3. De-blurring revisited with Wiener filter using OpenCV
4. Exploring Quantum Gate operations with QCSimulator
5. Latency, throughput implications for the Cloud
6. Programming Zen and now – Some essential tips-2
7.The Anomaly
8. Practical Machine Learning with R and Python – Part 3
9. Introducing cricpy:A python package to analyze performances of cricketers
10. The making of Total Control Android game
To see all posts clickIndex of posts
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