DataTables allows column and row selection information to be accessed via input$tableId_rows_selected. It is also possible to update a datatable object via dataTableProxy.
- [Instructor] Shiny allows interactive web applications…to be built using the R language.…Let's see how it can embed a DT htmlwidget…in a shiny app and extract click information…from the interactive datatables that DT allows us to build.…Let's have a look at a template shiny app…by opening up server.r in our exercise files…and clicking run app.…What we see is an interactive datatable here.…And what we want to be able to display is,…if we select these three rows here,…for this text to be replaced…with a summary of the rows that we've clicked.…
We would also quite like it,…if when we type in sender country a value…and sender city, when we click on add new dummy row…a row will be appended to the bottom of this datatable…including these two observations.…So UK, Oxford and then NA values for every other column.…Before we go about plumbing this all together…let's talk about how datatable objects…make input variables available to shiny apps.…All datatable objects in Shiny apps…add additional input variables to the input object…
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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