The buttons extension "buttons" provides buttons for copying, printing, and saving the content of a table. Save allows the data to be downloaded as .csv or .excel.
- [Instructor] Often when you provide viewers…of your content with an interactive table,…they're going to want to download the data…onto their own machines for analysis,…and it's particularly neat to allow users…to filter the data by the filters provided…in the data table and then download only the results.…This is actually really simple in a DT library.…Let me show you how in the interactive-tableq.R file.…Let's minimize my environment…because I don't need it for now.…At the top of the script file we load a couple of libraries.…First we load the tidyverse library,…and then the DT library and then we load the stringr library…so we can use the str_to_title function…you see on line eight.…
We import that data using read_scv.…We use the str_to_title function to create ourselves…some pretty headers for our interactive table,…and lines 11 through 22 generate us this nice, attractive,…responsively designed data table.…It's responsively designed because columns which don't fit…within the width of my viewer are collapsed…
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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