Publications by Tinniam V Ganesh

Taking a closer look at Quantum gates and their operations

15.06.2016

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�...

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

23.06.2016

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,...

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IBM Data Science Experience:  First steps with yorkr

03.09.2016

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 of try...

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cricketr sizes up legendary All-rounders of yesteryear

10.09.2016

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 talent that was natural and raw. They were good s...

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Analyzing World Bank data with WDI, googleVis Motion Charts

17.09.2016

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 Gapminder chart, the “Heath a...

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yorkr ranks IPL Players post 2016 season

12.12.2016

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 This post has also been published in RPubs RankIPLPlaye...

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

25.12.2016

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 and hence this Shiny app is based on data from Cr...

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

05.01.2017

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 did not exercise...

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Inswinger: yorkr swings into International T20s

14.02.2017

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 app is based on my ...

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cricketr and yorkr books – Paperback now in Amazon

18.02.2017

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 performance of cricketers. cric...

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