Highcharter is currently being developed to better support tidy data frames, in a similar fashion to Plotly. It is also possible to provide traces to a Highcharter object individually. A mix of both these approaches is best; note that the Highcharter docu
- [Instructor] Bar charts are excellent visualization tools…for comparing variables across multiple categories.…For instance, you might be interested…in visualizing the number of movies…in each genre on Netflix.…If you have subcategories data,…for instance, you break down comedies…to include romantic and horror comedies,…then stacked bar charts are what you want to use.…Highcharter makes it easy to build these charts.…Let's see how in the bar-charts.R file.…So I'll open that file.…I minimize my environment because I don't need it.…
At the top of the script file,…we load the tidyverse library.…We Command + Enter.…We import our data using read_csv…and store it against the gig_economy_data variable.…Now on line six through eight,…I use two deep prior verbs:…first, group_by to group my data by country_group,…and then summarize to count the number of rows…in each group using the function n…and store this data in a new column called jobs.in.country.…
Let's run this code with Command + Enter…and have a look at our data frame.…
AuthorMartin John Hadley
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
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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