2618 search results for "Ggplot2"

Degrees of Choice: A modification of a WSJ graphic

October 20, 2014
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This post uses ggplot2 and rCharts to modify a grouped bar chart that appeared in an article that appeared online on October 19, 2014 in Wall Street Journal’s site. The article was titled “How to Sell a Liberal-Arts Education”. The code for the Rmarkdown file that generated this post can be found on github.Please click this...

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The World We Live In #2: To Study Or To Work

October 19, 2014
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The World We Live In #2: To Study Or To Work

I was getting ready for school and about to wear my uniform when I remembered that our principal had told us not to wear uniforms. So I decided to wear my favorite pink dress (Malala Yousafzai) After reading the diary of a Pakistani schoolgirl and Malala’s history, there is no doubt of being in front

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Degrees of Choice: Modification of WSJ Graphic

October 19, 2014
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Degrees of Choice: Modification of WSJ Graphic

This post uses ggplot2 and rCharts to modify a grouped bar chart that appeared in an article that appeared online on October 19, 2014 in Wall Street Journal’s site. The article was titled “How to Sell a Liberal-Arts Education”. The code for the Rmarkdown file that generated this post can be found on github. The article used the...

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Bioinformatics journals: time from submission to acceptance, revisited

October 13, 2014
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Bioinformatics journals: time from submission to acceptance, revisited

Before we start: yes, we’ve been here before. There was the Biostars question “Calculating Time From Submission To Publication / Degree Of Burden In Submitting A Paper.” That gave rise to Pierre’s excellent blog post and code + data on Figshare. So why are we here again? 1. It’s been a couple of years. 2.

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Spending Seized Assets – A State-by-State Per-capita Comparison in R

October 13, 2014
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Spending Seized Assets – A State-by-State Per-capita Comparison in R

The Washingon Post did another great story+vis, this time on states Spending seized assets. According to their sub-head: Since 2008, about 5,400 police agencies have spent $2.5 billion in proceeds from cash and property seized under federal civil forfeiture laws. Police suspected the assets were linked to crime, although in 81 percent of cases no

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Analyze Instagram with R

October 13, 2014
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Analyze Instagram with R

This tutorial will show you how you create an Instagram app, create an authentication process with R and get data via the Instagram API. There is no R package for this yet so we... The post Analyze Instagram with R appeared first on ThinkToStart.

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SIR Model of Epidemics

October 12, 2014
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SIR Model of Epidemics

The SIR model divides the population to three compartments: Susceptible, Infected and Recovered. If the disease dynamic fits the SIR model, then the flow of individuals is one direction from the susceptible group to infected group and then to the recovered group. All individuals are assumed to be identical in terms of their susceptibility to infection, infectiousness if infected...

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When to Use Stacked Barcharts?

October 11, 2014
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When to Use Stacked Barcharts?

Yesterday a few of us on Facebook’s Data Science Team released a blogpost showing how candidates are campaigning on Facebook in the 2014 U.S. midterm elections. It was picked up in the Washington Post, in which Reid Wilson calls us “data … Continue reading →

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DataFrame manipulation in R from basics to dplyr

October 11, 2014
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DataFrame manipulation in R from basics to dplyr

  In my surroundings at work I see quite a few people managing their data in spreadsheet software like Excel or Calc, these software will do the work but I usually tend to do as little data manipulation in them as possible and to turn as soon as possible my spreadsheets into csv files and

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A Note on Tweedie

October 9, 2014
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A Note on Tweedie

by Joseph Rickert In a recent post I talked about the information that can be developed by fitting a Tweedie GLM to a 143 million record version of the airlines data set. Since I started working with them about a year or so ago, I now see Tweedie models everywhere. Basically, any time I come across a histogram that...

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