Tag: rstats
Using R to explore the relationship between San Francisco MUNI citations and the weather
Anybody who rides San Francisco’s MUNI regularly has had their Clipper Card checked by a fare inspector. Anecdotally, it also seemed to me that my Clipper Card was being checked […]
Exploring Chicago rideshare data in R
Last month, the City of Chicago released detailed rideshare data from companies like Uber, Lyft and Via, making it the first city in the country to share anonymized data on […]
How to build a website with Blogdown in R
Want to build a website right in RStudio? blogdown is an R package that allows you to create websites from R markdown files using Hugo, an open-source static site generator […]
How to build a bubble chart of individuals mentioned in the Mueller report
When the redacted Mueller report was released last week, journalists across the country scrambled to read through and analyze the document. Data scientists and information designers were hard at work, […]
How to access APIs in R
APIs, or application program interfaces, are a way for people to access data in a plain text format using multiple programming languages. Many websites, organizations and services offer APIs for […]
How to model with gradient boosting machine in R
The tutorial is part 2 of our #tidytuesday post from last week, which explored bike rental data from Washington, D.C. Check it out here. The following tutorial will use a […]
“Storytelling with R – featuring several digressions”
For Mara Averick, the words “R,” “tidyverse” and “ggplot” are all part of her regular vocabulary. For people with less knowledge about data science or the language R, those words […]
Exploring bike rental behavior using R
Bikes have become one of the fastest growing modes of city travel which is why it’s no surprise that Lyft and Uber are getting into the two-wheeler game. Lyft’s recent […]
Illuminating the road to 2020 through media coverage, candidate tweets and Google searches
Aleszu Bajak Storybench’s editor is Aleszu Bajak, a science journalist and former Knight Science Journalism Fellow at MIT. He is an alum of Science Friday, the founder of LatinAmericanScience.org, and […]
Women on the 2020 campaign trail are being treated more negatively by the media
Update, April 24, 2019: This project is ongoing, and we are adding more data to the original analysis as we go. See new analysis of the full text of 1,397 […]
How to map point data and polygon shapefiles in R
I recently published a series of interactive maps for Beeradvocate magazine that explored storm surge scenarios and low-lying breweries in Boston, New York City, Charleston and Miami. Here’s Boston: This […]
How to install R on a Jupyter notebook
This post walks through how to install R on a Jupyter notebook, load in data and build a visualization. Start by installing python using homebrew. Install python Open Terminal and enter the […]
Mapping search data from Google Trends in R
This is a quick introduction on how to get and visualize Google search data with both time and geographical components using the R packages gtrendsR, maps and ggplot2. In this […]
Using French wine reviews to understand TF-IDF, a measure of how unique a word is to a document
“The heady scent of grapefruit and tangelo peel immediately add savoriness to the crisp green-apple fruit that is evident on the nose. But there are also richer hints of honey […]
Getting started with stringr for textual analysis in R
Manipulating characters – a.k.a. non-numerical data – is an essential skill for anyone looking to visualize or analyze text data. This tutorial will go over a few of the base […]
Working with The New York Times API in R
Have you ever come across a resource that you didn't know existed, but once you find it you wonder how you ever got along without it? I had this feeling […]
How to merge and clean up multiple CSVs using R
This tutorial solves a problem I was having when working through the exploratory data analysis exercises in Doing Data Science by Cathy O’Neil and Rachel Schutt. I highly recommended picking up a copy for yourself. […]
Sentiment analysis of (you guessed it!) Donald Trump’s tweets
In my last post, I demonstrated how to use the twitteR package to collect data from Twitter in R. I have since learned that while twitteR still works, it is […]
Twitter + R
Introducing twitteR If you've worked with R in any capacity, you've probably noticed by now that developers who create R packages love playing with the letter “R” in their naming […]
Welcome to Data Journalism in R
Welcome to Data Journalism in R print(“Hello world”) ## [1] “Hello world” Now that we got that out of the way, welcome to a brand new Storybench vertical, Data Journalism […]
Getting started with data visualization in R using ggplot2
Creating a customized graph that communicates your ideas effectively can be challenging. This tutorial will introduce you to the popular R package ggplot2, its underlying grammar of graphics, and show […]
How to manipulate data with dplyr in R
In the last tutorial we introduced the concept of tidy data, which is characterized by having one observation per row, and one variable per column. We also went over how to change to […]
How to make small multiples in R using geom_line()
We’ve been exploring and visualizing datasets from the fivethirtyeight R package for various Storybench tutorials. (See our tidyr tutorial and our barplot tutorial). Below, we’ve written a tutorial to create a grid of line charts that all use the […]