Blog Archives

cricketr and yorkr books – Paperback now in Amazon

February 18, 2017
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cricketr and yorkr books – Paperback now in Amazon

My books – Cricket Analytics with cricketr – Beaten by sheer pace!: Cricket analytics with yorkr are now available on Amazon in both Paperback and Kindle versions The cricketr and yorkr packages are written in R, and both are available in CRAN. The books contain details on how to use these R packages to analyze … Continue reading cricketr...

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Inswinger: yorkr swings into International T20s

February 14, 2017
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Inswinger: yorkr swings into International T20s

In this post I introduce ‘Inswinger’ an interactive Shiny app to analyze International T20 players, matches and teams. This app was a natural consequence to my earlier Shiny app ‘GooglyPlus’. Most of the structure for this app remained the same, I only had to work with a different dataset, so to speak. The Googly Shiny … Continue reading Inswinger:...

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GooglyPlus: yorkr analyzes IPL players, teams, matches with plots and tables

January 5, 2017
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GooglyPlus: yorkr analyzes IPL players, teams, matches with plots and tables

In this post I introduce “GooglyPlus” another more evolved version of my earlier Shiny app “Googly”. My R package ‘yorkr’,  on which both these Shiny apps are based, has the ability to output either a dataframe or plot, depending on a parameter plot=TRUE or FALSE. My initial version of the app only included plots and … Continue reading GooglyPlus:...

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Googly: An interactive app for analyzing IPL players, matches and teams using R package yorkr

December 25, 2016
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Googly: An interactive app for analyzing IPL players, matches and teams using R package yorkr

Presenting ‘Googly’, a cool Shiny app that I developed over the last couple of days. This interactive Shiny app was on my mind for quite some time, and I finally got down to implementing it. The Googly Shiny app is based on my R package ‘yorkr’ which is now available in CRAN. The R package … Continue reading Googly:...

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yorkr ranks IPL Players post 2016 season

December 12, 2016
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yorkr ranks IPL Players post 2016 season

Here is a short post which ranks IPL batsmen and bowlers post the 2016 IPL season. These are based on match data from Cricsheet. I had already ranked IPL players in my post yorkr ranks IPL batsmen and bowlers, but that was mid IPL 2016 season. This post will be final ranking post 2016 season … Continue reading yorkr...

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Analyzing World Bank data with WDI, googleVis Motion Charts

September 17, 2016
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Analyzing World Bank data with  WDI, googleVis Motion Charts

Recently I was surfing the web, when I came across a real cool post New R package to access World Bank data, by Markus Gesmann on using googleVis and motion charts with World Bank Data. The post also introduced me to Hans Rosling, Professor of Sweden’s Karolinska Institute. Hans Rosling, the creator of the famous … Continue reading Analyzing...

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cricketr sizes up legendary All-rounders of yesteryear

September 10, 2016
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cricketr sizes up legendary All-rounders of yesteryear

Introduction This is a post I have been wanting to write for several months, but had to put it off for one reason or another. In this post I use my R package cricketr to analyze the performance of All-rounder greats namely Kapil Dev, Ian Botham, Imran Khan and Richard Hadlee. All these players had … Continue reading cricketr...

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IBM Data Science Experience:  First steps with yorkr

September 3, 2016
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IBM Data Science Experience:  First steps with yorkr

Fresh, and slightly dizzy, from my foray into Quantum Computing with IBM’s Quantum Experience, I now turn my attention to IBM’s Data Science Experience (DSE). I am on the verge of completing a really great 3 module ‘Data Science and Engineering with Spark XSeries’ from the University of California, Berkeley and I have been thinking … Continue reading IBM...

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Introducing QCSimulator: A 5-qubit quantum computing simulator in R

June 23, 2016
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Introducing QCSimulator: A 5-qubit quantum computing simulator in R

Introduction My 5-qubit Quantum Computing Simulator,QCSimulator, is finally ready, and here it is! I have been able to successfully complete this simulator by working through a fair amount of material. To a large extent, the simulator is easy, if one understands how to solve the quantum circuit. However the theory behind quantum computing itself, is

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Taking a closer look at Quantum gates and their operations

June 15, 2016
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Taking a closer look at Quantum gates and their operations

This post is a continuation of my earlier post ‘Exploring Quantum gate operations with QCSimulator’. Here I take a closer look at more quantum gates and their operations, besides implementing these new gates in my Quantum Computing simulator, the  QCSimulator in R. Disclaimer: This article represents the author’s viewpoint only and doesn’t necessarily represent IBM’s

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