Tag: rstats
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 is how I did it. Getting lat, lon […]
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 following commands. $ brew install python It should […]
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 example, we will look at search interest for […]
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 and yellow apple. The palate remains taut, slender […]
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 R functions for manipulating strings in R, and […]
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 earlier this week when I came across the […]
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. The exercises in the book are intended for a […]
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 in a state of “leisurely deprecation” according to […]
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 schema. Well, twitteR is no different. The twitteR […]
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 in R! This space will be home to […]
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 you how to create stylish and simple graphs […]
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 shape of our data set with tidyr using data sets […]
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 same scale and axes in R – otherwise known […]