Chapter 1 will introduce students to the htmlwidgets package and the leaflet package. Following this introduction, students will build their first interactive web map using leaflet. Through the process of creating this first map students will be introduced to many of the core features of the leaflet package, including adding different map tiles, setting the center point and zoom level, plotting single points based on latitude and longitude coordinates, and storing leaflet maps as objects. Chapter 1 will conclude with students geocoding DataCamp’s headquarters, and creating a leaflet map that plots the headquarters and displays a popup describing the location.

Introduction to leaflet

Loading the leaflet Library

Creating an Interactive Web Map

Map Tiles

Provider Tiles

Adding a Custom Map Tile

Setting the Default Map View

A Map with a View I

A Map with a Narrower View

Plotting DataCamp HQ

Mark it

Adding Popups and Storing your Map

Setting Up Interactive Web Maps

In chapter 2 students will build on the leaflet map they created in chapter 1 to create an interactive web map of every four year college in California. After plotting hundreds of points on an interactive leaflet map, students will learn to customize the markers on their leaflet map. This chapter will also how to color code markers based on a factor variable.

Introduction to IPEDS Data

Cleaning up the Base Map

Exploring the IPEDS Data

Exploring the IPEDS Data II

Mapping California Colleges

California Colleges

The City of Colleges

Circle Markers

Labels and Pop-ups

Making our Map Pop

What is California's Northernmost College?

Building a Better Pop-up

Swapping Popups for Labels

Color Coding Colleges

Creating a Color Palette using colorFactor

A Legendary Map

Plotting Points

In chapter 3 students will expand on their map of all four year colleges in California to create a map of all American colleges. First, in section 3.1 students will review and build on the material from Chapter 2 to create a map of all American colleges. Then students will re-plot the colleges on their leaflet map by sector (public, private, or for-profit) using groups to enable users to toggle the colleges that are displayed on the map. In section 3.3 students will learn to add multiple base maps so that users can toggle between multiple map tiles.

The Leaflet Extras Package

Middle America

Building a Base

Down South

Overlay Groups

Mapping Public Colleges

Mapping Public and Private Colleges

Mapping All Colleges

Base Groups

Change up the Base

Putting it all Together

Pieces of Flair

Adding a Piece of Flair

A Cluster Approach

Groups, Layers, and Extras

In Chapter 4 students will learn to map polygons, which can be used to define geographic regions (e.g., zip codes, states, countries, etc.).  Chapter 4 will start by plotting the zip codes in North Carolina that fall in the top quartile of mean family incomes. Students will learn to customize the polygons with color palettes and labels. Chapter 4 will conclude with adding a new layer to the map of every college in America that displays every zip code with a mean income of $200,000 or more during the 2015 tax year. Through the process of mapping zip codes students will learn about spatial data generally, geoJSON data, the @ symbol, and the addPolygons() function. Furthermore, students will have an opportunity to practice applying many of the options that they learned about in the previous chapters, such as popups and labels, as well as new ways to customize their maps, such as the highlight option in addPolygons().

Spatial Data

Introduction to Spatial Data

Exploring Spatial Data

Joining Spatial Data

Mapping Polygons

addPolygons() Function

NC High Income Zips

addPolygon() Options

Let's do some Logging

Putting it All Together

Wealthiest Zip Codes in America

Final Map

Thank you!

Plotting Polygons

IPEDS All 4-Year Colleges

NC Zipcode Income data

NC Zipcode Polygons

America's Wealthiest Zipcodes

Get ready to have some fun with maps! Interactive Maps with leaflet in R will give you the tools to make attractive and interactive web maps using spatial data and the tidyverse. In this course, you will create maps using the IPEDS dataset, which contains data on U.S. colleges and universities. Along the way, you will customize our maps using labels, popups, and custom markers, and add layers to enhance interactivity. Following the course, you will be able to create and customize your own interactive web maps to reveal patterns in your data.

Introduction to the Tidyverse

Learn how to create and customize your own interactive web maps to reveal patterns in your data using leaflet in R. You'll practice using IPEDS datasets.

Interactive Maps with leaflet in R

Learn how to produce interactive web maps with ease using leaflet.

Interactive Data Visualization in R

Likely to Recommend

Creating a Color Palette using colorFactor

“Interactive Maps with leaflet in R”

Exercise instructions

Hands-on interactive exercise

Interactive Maps with leaflet in R

Chapter 1: Setting Up Interactive Web Maps

Chapter 2: Plotting Points

Chapter 3: Groups, Layers, and Extras

Chapter 4: Plotting Polygons

What is DataCamp?