course
Interactive Data Visualization with plotly in R
Beginner
Updated 12/2024Start course for free
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RData Visualization4 hours15 videos54 exercises4,600 XP13,235Statement of Accomplishment
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Course Description
Build Interactive Data Visualizations in plotly
Interactive graphics allow you to manipulate plotted data to gain further insights. As an example, an interactive graphic would allow you to zoom in on a subset of your data without the need to create a new plot. In this course, you will learn how to create and customize interactive graphics in plotly using R.Get Started Using plotly
You’ll start the course with an introduction to plotly and a view of different plots you can make using this R package, including histograms, bar charts, bivariate graphics, scatterplots, and boxplots. You’ll also learn how to convert a ggplot2 scatterplot into plotly so that you can enhance your graphics and dashboards.Explore Creating plotly Plots and Dashes
The next two chapters of the course show you how you can customize your graphics to build the perfect dashboard, and even add hover-over information to add detail and depth. Then you’ll move on to advanced charts that visualize complex relationships and larger datasets. By completing this course, you’ll be able to create manual and automated faceting, binned scatterplots, and your first scatter plot matrix (SPLOM).Create Visualizations with Real-World Data
The final chapter of this course uses your new-found plotly skills to visualize the results of the 2018 US elections. You’ll create the first interactive plotly dash in your portfolio and learn how to create maps using this valuable data visualization tool.Prerequisites
Introduction to the Tidyverse1
Introduction to plotly
2
Styling and customizing your graphics
3
Advanced charts
4
Case Study
Interactive Data Visualization with plotly in R
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