ramnathv.github.io

Addicted to R · academic/hacker

I am a professor of operations management, addicted to R and data visualization. I am an Assistant Professor of Operations Management in the Desautels Faculty of Management. My research primarily focuses on the application of predictive analytics and optimization methodologies to improve operational decisions in retailing. I got my PhD in Operations Management from the Wharton School. And worked at McKinsey and Company. I am addicted to R and Javascript and have developed two R packages, rCharts.

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Addicted to R · academic/hacker | ramnathv.github.io Reviews

<META> DESCRIPTION

I am a professor of operations management, addicted to R and data visualization. I am an Assistant Professor of Operations Management in the Desautels Faculty of Management. My research primarily focuses on the application of predictive analytics and optimization methodologies to improve operational decisions in retailing. I got my PhD in Operations Management from the Wharton School. And worked at McKinsey and Company. I am addicted to R and Javascript and have developed two R packages, rCharts.

<META> KEYWORDS

1 research

2 publications

3 projects

4 software

5 blog

6 github

7 addicted to r

8 academic/hacker

9 ramnath vaidyanathan

10 at mcgill university

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Addicted to R · academic/hacker | ramnathv.github.io Reviews

https://ramnathv.github.io

I am a professor of operations management, addicted to R and data visualization. I am an Assistant Professor of Operations Management in the Desautels Faculty of Management. My research primarily focuses on the application of predictive analytics and optimization methodologies to improve operational decisions in retailing. I got my PhD in Operations Management from the Wharton School. And worked at McKinsey and Company. I am addicted to R and Javascript and have developed two R packages, rCharts.

INTERNAL PAGES

ramnathv.github.io

1

Addicted to R · academic/hacker

http://ramnathv.github.io/software

I am a professor of operations management, addicted to R and data visualization. I develop tools that help create and share interactive visualizations and web-friendly documents, straight from R.

2

Addicted to R · academic/hacker

http://ramnathv.github.io/publications

I am a professor of operations management, addicted to R and data visualization. Fisher, M., Vaidyanathan, R., A Demand Estimation Procedure for Retail Assortment Optimization with Results from Implementations. Fisher, M., Vaidyanathan, R., Which Products Should You Stock? Veeraraghavan, S., Vaidyanathan, R., Measuring Seat Value in Stadiums and Theaters. Production and Operations Management. V 21, no. 1, 2012, pp. 49-68. In N Agarwal and S.A. Smith (ed.). Springer, 2009, 99pp.

3

Addicted to R · academic/hacker

http://ramnathv.github.io/blog

I am a professor of operations management, addicted to R and data visualization. Interactive Playground for R Packages: Part 1. In this post, I will show you how to create interactive playgrounds for R packages using AngularJS and OpenCPU. I will use the live playground application that I created for rCharts to illustrate the basic idea, which can easily be extended to other packages. Rblocks Package v 0.1. Read on, if this interests you! Verbatim Chunks in R Markdown.

4

Addicted to R · academic/hacker

http://ramnathv.github.io/projects

I am a professor of operations management, addicted to R and data visualization. Visualizing Bike Sharing Networks. Visualizing Medal Tally at Sochi. Online Playground for rCharts. 100 Centuries of Sachin Tendulkar. Interactive Controls with rCharts.

5

Tidy Data | Introduction to R

http://ramnathv.github.io/pycon2014-r/explore/tidy.html

Split Apply Combine 2. Raw data in the real-world is often. Consider the following data below. How many variables does this dataset contain? The way the table is presented, it seems like there are only two variables. However, the correct answer is 3. What is Tidy Data? A dataset is said to be tidy if it satisfies the following conditions. Observations are in rows. Variables are in columns. Contained in a single dataset. Tidy data makes it easy to carry out data analysis. Income Distribution by Religion.

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statbandit.wordpress.com

IPython notebooks: the new glue? | Stat Bandit

https://statbandit.wordpress.com/2014/04/09/ipython-notebooks-the-new-glue

Musings on statistics, computation and data research. IPython notebooks: the new glue? Have become a defacto standard for presenting Python-based analyses and talks, as evidenced by recent Pycon. Events. As anyone who has used them knows, they are great for “reproducible research”, presentations, and sharing via the nbviewer. Connecting IPython to R, Octave, Matlab. However, the brilliance of the design of IPython is in the modularity of the underlying engine (3 cheers to Fernando Perez. April 9, 2014.

thedukat.com

Economic |

http://thedukat.com/category/economic

October 30, 2015. Long: Montana, Short: Alabama. How much of the various energy sources do America’s states consume relative to one another? The web application above strives to answer that question. The chloropleth reacts to the user’s inputs for various types of energy sources in years dating back to 1989, calling on data downloaded (via API) from the Energy Information Administration’s State Energy Data System. Special thanks Ramnath Vaidyanathan. The Consumer Debt “Big Three”. September 27, 2014.

r-pkgs.had.co.nz

Introduction · R packages

http://r-pkgs.had.co.nz/intro.html

Want to learn from me in person? I'm next teaching in DC, Sep 14-15. Want a physical copy of this material? In R, the fundamental unit of shareable code is the package. A package bundles together code, data, documentation, and tests, and is easy to share with others. As of January 2015, there were over 6,000 packages available on the C. If you’re reading this book, you already know how to use packages:. You install them from CRAN with. You use them in R with. You get help on them with. Seriously, it does...

thedukat.com

Energy |

http://thedukat.com/category/energy

October 30, 2015. Long: Montana, Short: Alabama. How much of the various energy sources do America’s states consume relative to one another? The web application above strives to answer that question. The chloropleth reacts to the user’s inputs for various types of energy sources in years dating back to 1989, calling on data downloaded (via API) from the Energy Information Administration’s State Energy Data System. Special thanks Ramnath Vaidyanathan. July 12, 2014. Introductory physics class taught us ab...

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WILDLIFE.ART.EMOTIONS AND BEYOND. Thursday, August 13, 2009. Last two months was absolutely hectic. A 12000kms drive across the Western Ghats photographing monsoons, delivering talks in schools and colleges, doing post work at desk for continuous 2 weeks was brilliant. It was a superb learning experience. I have planned to keep this space systematically updated about my work from now. Check out for frequent updates. Current mood: happy and energetic. Sunday, May 17, 2009. SECRETS OF THE KING COBRA. Curre...

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ramnathv.github.io

Addicted to R · academic/hacker

I am a professor of operations management, addicted to R and data visualization. I am an Assistant Professor of Operations Management in the Desautels Faculty of Management. My research primarily focuses on the application of predictive analytics and optimization methodologies to improve operational decisions in retailing. I got my PhD in Operations Management from the Wharton School. And worked at McKinsey and Company. I am addicted to R and Javascript and have developed two R packages, rCharts.

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