Choropleth require shape files, which can be accessed from a variety of sources. Leaflet requires areas to be specified in SpatialPolygonDataFrames These are easily import using the RGDL library. Leaflet itself does not provide the tools to calculate the
- [Instructor] Chloropleth are very useful charts…for comparing a single variable across multiple countries.…For instance, generating a Chloropleth…that allows for the comparison of life expectancy…of countries in 2007 from the gapminder data set.…In our exercise files, there is file called world_map.R.…If we open this up and we press Command-A,…to select all of the code, and Command-Enter…to evaluate this code,…this runs through it, grabs some shapefiles for me,…and then it outputs an interactive leaflet map.…
So here we see the countries shaded…according to the life expectancy with a legend shown here,…and when I hover over each of the countries…I get the name of the country,…and upon clicking on a country,…I get a popup with the name of the country…and the life expectancy as well.…It's important to note that the leaflet library…does not contain shapefiles for any countries within it.…We need to provide the shapefiles from external data sets.…So let's see how to prepare data for a Chloropleth map…to be made with leaflet.…
Start by learning to manage packages and structure data for visualizations with the tidyverse and the pipe operator. Then there is an important question: Which library should you choose? The course introduces five popular options: Leaflet, Plotly, Highcharter, visNetwork, and DataTables (DT). Instructor Martin Hadley shows how to use these libraries to create scattergeo, choropleth, and geolines maps; stacked bar charts, scatter charts, bubble charts, and heat maps; treemaps and time series charts; interactive networks and graphs; and responsive, interactive data tables. Plus, learn how to customize your visualizations with legends and tooltips, and extract click information for Shiny apps.
- Installing htmlwidgets
- Selecting the best htmlwidget
- Creating interactive maps with Leaflet
- Creating interactive charts with Plotly and Highcharter
- Creating interactive networks with visNetwork
- Creating interactive tables with DT
Skill Level Intermediate
Creating Interactive Presentations with Shiny and Rwith Martin Hadley1h 53m Intermediate
Data Visualization Tips and Trickswith Matt Francis2h 14m Intermediate
DC.js for Data Science Essential Trainingwith Emma Saunders5h 3m Intermediate
1. Getting Started with htmlwidgets
2. Creating Interactive Maps with Leaflet
3. Creating Interactive Charts with Plotly
4. Creating Interactive Charts with Highcharter
5. Creating Interactive Networks with visNetwork
6. Creating Interactive Tables
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