The tidyverse is a methodology for data preparations, wrangling, and filtering. It makes it easy to talk about data—is it wide or long? Each htmlwidget has a specific preference for wide or long. Some htmlwidgets support the tidyverse methodology with gus
- [Instructor] Most htmlwidget libraries,…certainly all the ones for IU's…expect data to be long-formatted.…Long-formatted data is also known as tidy data.…This name, tidy data,…comes from the tidyverse ecosystem of packages.…So how do htmlwidgets and the tidyverse fit together?…Well, the tidyverse ecosystem of packages…provides all the tools necessary…to import, wrangle, and prepare data for visualization.…They're an excellent collection or ecosystem…of powerful tools designed to work seamlessly together.…
Some htmlwidget libraries even rely on the ability…of the tidyverse to create structured or grouped…data frames for building charts,…i.e. for grouping together observations…into different series or colors.…So how do we differentiate between tidy and non-tidy data?…Let's look inside of our exercise files.…So inside of my project I have a folder called data dash raw…and I have two different Excel files,…one called wide format…and one called long format.…Let's have a look at wide format first.…
I'll open this file by clicking on it…
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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