In this course, you will learn the Grammar of Graphics, a system for describing and building graphs, and how the ggplot2 data visualization package for R applies this concept to basic bar charts, histograms, pie charts, scatter plots, line plots, and box plots. You will also learn how to further customize your charts and plots using themes and other techniques. You will then learn how to use another data visualization package for R called Leaflet to create map plots, a unique way to plot data based on geolocation data. Finally, you will be introduced to creating interactive dashboards using the R Shiny package. You will learn how to create and customize Shiny apps, alter the appearance of the apps by adding HTML and image components, and deploy your interactive data apps on the web.
About this Course
What you will learn
Create bar charts, histograms, pie charts, scatter plots, line graphs, box plots, and maps using R and related packages.
Design customized charts and plots using annotations, axis titles, text labels, themes, and faceting.
Create maps using the Leaflet package for R.
Create interactive dashboards using the Shiny package for R.
Skills you will gain
- Data Science
- Data Analysis
- Data Visualization (DataViz)
- R Programming
Syllabus - What you will learn from this course
Module 1 - Introduction to Data Visualization
Module 2 - Basic Plots, Maps, and Customization
Module 3 - Dashboards
Module 4 - Final Assignment
- 5 stars75%
- 4 stars15.97%
- 3 stars4.16%
- 2 stars2.08%
- 1 star2.77%
TOP REVIEWS FROM DATA VISUALIZATION WITH R
high efficieny course which provide knowlegde about the course .
Thank you for sharing your knowledge. I learned a lot in this course, especially regarding ggplot and shiny. I got to make my first APP and this was really good. Thank you!
It is an amazing course. But you should know the basics of the Rstudio and it's layout.
The course was good and the videos explained the topic very well and the content was indeed very nice..thanks for providing such a good course
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