453 search results for "boxplot"

Boxplots or raw data graphs?

October 14, 2010
By
Boxplots or raw data graphs?

We recently had a dilemma for an OSI publication about the design for the graphs. There will be dozens of these graphs showing the mean score on a given variable for nearly 11000 parents from 10 countries. This example is for household wealt...

Read more »

Boxplots or raw data graphs?

October 14, 2010
By
Boxplots or raw data graphs?

We recently had a dilemma for an OSI publication about the design for the graphs. There will be dozens of these graphs showing the mean score on a given variable for nearly 11000 parents from 10 countries. This example is for household wealth which has values ranging from 0 to 16. These are the three

Read more »

Labeled outliers in R boxplot

Labeled outliers in R boxplot

Boxplots are a good way to get some insight in your data, and while R provides a fine ‘boxplot’ function, it doesn’t label the outliers in the graph. However, with a little code you can add labels yourself:The numbers plotted next to ...

Read more »

Tufte style visualizations in R using Plotly

April 19, 2016
By
2016-04-20 18_36_20-Clipboard

This post is inspired by Lukasz Piwek’s awesome Tufte in R post. We’ll try to replicate Tufte’s visualization practices in R using Plotly. You can read more about Edward Tufte here. One easy way to replicate the graphs showcased on Lukasz’s blog would be to simply use ggplotly() on his ggplot2() code. We’ll use plot_ly()

Read more »

How to sort a list of dataframes

April 13, 2016
By

A method to gather data from different sources, sort them and keep a reference to the origin of each subset, plus some efficiency considerations The post How to sort a list of dataframes appeared first on MilanoR.

Read more »

Book Review: Graphical Data Analysis with R

April 7, 2016
By
Book Review: Graphical Data Analysis with R

by Joseph Rickert Basically, there are two kinds of graphics or plots you can make from a data set: (1) those that allow you to see what is going on with the data, and (2) those you make to communicate what you have found to someone else. When making the first kind, you want to select plots that will...

Read more »

The Pirate Plot (2.0) – The RDI plotting choice of R pirates

April 5, 2016
By
The Pirate Plot (2.0) – The RDI plotting choice of R pirates

  Plain vanilla barplots are as uninformative (and ugly) as they are popular. And boy, are they popular. From the floors of congress, to our latest scientific articles, barplots surround us. The reason why barplots are so popular is because they are so simple and easy to understand. However, that simplicity also carries costs — namely, ...

Read more »

Updated R & BLAS Timings

March 30, 2016
By
Updated R & BLAS Timings

With the recent releases of R 3.2.4 and OpenBLAS 2.17, I decided it was time to re-benchmark R speed. I’ve settled on a particular set of tests, based on my experience as well as some of Simon Urbanek’s work which I separated into two groups: those focusing on BLAS-heavy operations and those which do not. Read the full...

Read more »

Election tRends: An interactive US election tracker (using Shiny and Plotly)

March 29, 2016
By

Guest post by Jonathan Sidi Introduction The US primaries are coming on fast with almost 120 days left until the conventions. After building a shinyapp for the Israeli Elections I decided to update features in the app tried out plotly in the shiny framework. As a casual voter trying to gauge the true temperature of … Continue reading...

Read more »

Margin of Error by Geography in the American Community Survey (ACS)

March 14, 2016
By
Margin of Error by Geography in the American Community Survey (ACS)

Today I will demonstrate how the margin of error in American Community Survey (ACS) estimates grow as the size of the geography decreases.  The final chart that we’ll create is this: The way I interpret the above chart is this: The ACS is very confident about its state-level estimates. It’s a bit less confident about county-level estimates. But The post

Read more »

Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)