Blog Archives

The fivethirtyeight R package

January 16, 2017
By

Andrew Flowers, quantitiative editor of FiveThirtyEight.com, announced at last weeks' RStudio conference the availability of a new R package containing data and analyses from some of their data journalism features: the fivethirtyeight package. (Andrew's talk isn't yet online, but you can see him discuss several of these stories in his UseR!2016 presentation.) While not an official product of the...

Read more »

Microsoft R Server tips from the Tiger Team

January 13, 2017
By

The Microsoft R Server Tiger Team assists customers around the world to implement large-scale analyytic solutions. Along the way, they discover useful tips and best practices, and share them on the Tiger Team blog. Here are a few recent tips from the Tiger Team on using Microsoft R Server: Gather metadata and exlore numeric summaries of large data sets...

Read more »

In case you missed it: December 2016 roundup

January 11, 2017
By

In case you missed them, here are some articles from December of particular interest to R users. Power BI now has a gallery of custom visualizations built with R. Chicago's Department of Public Health uses R to prioritize health inspections at restaurants. A beautiful map of Switzerland municipalities combined with a relief map of the mountains, created with R....

Read more »

The anatomy of a useful chart: NOAA’s flood forecasts

January 10, 2017
By
The anatomy of a useful chart: NOAA’s flood forecasts

With thanks to NOAA's incredible data gathering and forecasting activities, I've been obsessed with this chart for the past few days: We used to live near the Napa river where this river gage is located, and still have many friends in the area. We were in the area last weekend, when a "pineapple express" weather event brought an atmospheric...

Read more »

What can we learn from StackOverflow data?

January 9, 2017
By
What can we learn from StackOverflow data?

StackOverflow, the popular Q&A site for programmers, provides useful information to nearly 5 million programmers worldwide with its database of questions and answers — not to mention the additional comments that other programmers provide. (You might be interested in the architecture, based SQL Server 2016, required to deliver the 8.5 billion pages Stack Overflow served last year.) Since its...

Read more »

Analyzing emotions in video with R

January 6, 2017
By
Analyzing emotions in video with R

In the run-up to the election last year, Ben Heubl from The Economist used the Emotion API to chart the emotions portrayed by the candidates during the debates (note: auto-play video in that link). In his walkthrough of the implementation, Ben used Python to process the video files, and R to create the charts from the sentiment scores generated...

Read more »

Three reasons to learn R today

January 6, 2017
By

If you're just getting started with data science, the Sharp Sight Labs blog argues that R is the best data science language to learn today. The blog post gives several detailed reasons, but the main arguments are: R is an extremely popular (arguably the most popular) data progamming language, and ranks highly in several popularity surveys. Learning R is...

Read more »

The biggest R stories from 2016

January 3, 2017
By
The biggest R stories from 2016

It's been another great year for the R project and the R community. Let's look at some of the highlights from 2016. The R 3.3 major release brought some significant performance improvements to R, along with a spiffy new logo. There were also two updates in 2016: R 3.3.1 and R 3.3.2. (The R 3.2 series also received an...

Read more »

Power BI custom visuals, based on R

December 30, 2016
By
Power BI custom visuals, based on R

You've been able to include user-defined charts using R in Power BI dashboards for a while now, but a recent update to Power BI includes seven new custom charts based on R in the customs visuals gallery. You can see the new chart types by visiting the Power BI Custom Visuals Gallery and clicking on the "R-powered visuals" tab....

Read more »

Using R to prevent food poisoning in Chicago

December 29, 2016
By

There are more than 15,000 restaurants in Chicago, but fewer than 40 inspectors tasked with making sure they comply with food-safety standards. To help prioritize the facilities targeted for inspection, the City of Chicago used R to create a model that predicts which restaurants are most likely to fail an inspection. Using this model to deploy inspectors, the City...

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)