2901 search results for "ggplot"

broom: a package for tidying statistical models into data frames

March 19, 2015
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broom: a package for tidying statistical models into data frames

The concept of “tidy data”, as introduced by Hadley Wickham, offers a powerful framework for data manipulation, analysis, and visualization. Popular packages like dplyr, tidyr and ggplot2 take great advantage of this framework, as explored in several recent posts by others. But there’s an important step in a tidy data workflow that so...

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Seven Ways You Can Use A Linear, Polynomial, Gaussian, & Exponential Line Of Best Fit

March 18, 2015
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Seven Ways You Can Use A Linear, Polynomial, Gaussian, & Exponential Line Of Best Fit

A line of best fit lets you model, predict, forecast, and explain data. This post shows how you can use a line of best fit to explain college tuition, rats, turkeys, burritos, and the NHL draft. Read on or see our tutorials for more. Contact us if you’re interested in a trial of plotly on-premise....

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shinyData – GUI for data analysis and reporting

March 18, 2015
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shinyData – GUI for data analysis and reporting

Some people find very hard to start using R because it has no GUI. There exists some GUIs which offers some of the functionality of R. In this post I would like to focus on one such GUI, a very new shiny application called shinyData. I hope the app will make it easier for some to get into R environment. Also...

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Making waffle charts in R (with the new ‘waffle’ package)

March 18, 2015
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Making waffle charts in R (with the new ‘waffle’ package)

My disdain for pie charts is fairly well-known, but I do concede that there are times one needs to communicate parts of a whole graphically verses using just words or a table. When that need arises, I’m partial to “waffle charts” or “square pie charts”. @eagereyes did a great post a while ago on them

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The World We Live In #4: Marriage Ages

March 16, 2015
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The World We Live In #4: Marriage Ages

It is time for women to stop being politely angry (Leymah Gbowee, Nobel Prize Peace Winner) Sometimes very simple plots give insight into we live in a world of differences. This plot shows the mean age at marriage for men and women across countries: Being a woman in some countries of this world must be a … Continue reading...

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Simple Lower US 48 Albers Maps & Local (no-API) City/State Geocoding in R

March 15, 2015
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Simple Lower US 48 Albers Maps & Local (no-API) City/State Geocoding in R

I’ve been seeing an uptick in static US “lower 48″ maps with “meh” projections this year, possibly caused by a flood of new folks resolving to learn R but using pretty old documentation or tutorials. I’ve also been seeing an uptick in folks needing to geocode US city/state to lat/lon. I thought I’d tackle both

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How to Make a Histogram with ggvis in R

March 13, 2015
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How to Make a Histogram with ggvis in R

The two previous posts described how you can make histograms with basic R and the ggplot2 package. This third and last part of our histograms tutorial will look at how to make a histogram with ggvis. This package is similar to ggplot2, as it is also based on “the grammar of graphics”. However, ggvis has The post

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A Monte Carlo Simulation for Pi Day

March 12, 2015
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A Monte Carlo Simulation for Pi Day

by Joseph Rickert What will you be doing at 26 minutes and 53 seconds past 9 this coming Saturday morning? I will probably be running simulations. I have become obsessed with an astounding result from number theory and have been trying to devise Monte Carlo simulations to get at it. The result, well known to number theorists says: choose...

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A Compendium of Clean Graphs in R

March 12, 2015
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A Compendium of Clean Graphs in R

Every data analyst knows that a good graph is worth a thousand words, and perhaps a hundred tables. But how should one create a good, clean graph? In R, this task is anything but

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How to Make a Histogram with Basic R

March 10, 2015
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Over the next week we will cover the basics of how to create your own histograms in R. Three options will be explored: basic R commands, ggplot2 and ggvis. These posts are aimed at beginning and intermediate R users who need an accessible and easy-to-understand resource. Want to learn more? Discover the R tutorials at DataCamp. What Is The post

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