An Introduction to Data Visualization in R using ggplot

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An Introduction to Data Visualization in R using ggplot. Make beautiful plots and graphs using the open source R programming language

20,00  10,00 

The name of this course is An Introduction to Data Visualization in R using ggplot. The knowledge you will get with this indescribable online course is astonishing. Make beautiful plots and graphs using the open source R programming language.
Not only will you be able to deeply internalize the concepts, but also their application in different fields won’t ever be a problem. The instructor is Sophia Banton, one of the very best experts in this field.

Description of this course: An Introduction to Data Visualization in R using ggplot

Course Description How we represent our data is often as important as the quality of the data itself. In this course, you will learn how to make functional and elegant plots using the R language. R is a free/open source programming language that has become very popular in institución and among data scientists across all disciplines.In this course, you will learn how to quickly make publication worthyBar plotsScatter plotsLine plotsPie chartsGeographical mapsand more…You will also learn how to show trends over time and how to plot correlations and geographical data in this course.This course is intended for students, professional, entrepeneurs and everyone in between. Happy Plotting!

Requirements of this course: An Introduction to Data Visualization in R using ggplot

What are the requirements? Download the latest version of R

What will you learn in this course: An Introduction to Data Visualization in R using ggplot?

What am I going to get from this course? Prepare plots and graphs using R Create colorful maps in R Use the ggplot library in R to create high quality images Export plots as image files and PDFs

Target audience of this course: An Introduction to Data Visualization in R using ggplot

Who is the target audience? Students, professionals, entrepeneurs or anyone interested in preparing enhanced graphs and plots