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Mastering Data Visualization with R

Visualize data using R Base Graphics, Lattice Package and ggplot (GGPlot2) for data analysis and data science
Course from Udemy
 2814 students enrolled
 en
Understand what plots are suitable for a type of data you have
Understand the data before you make a plot
Visualize data by creating various graphs using R base package, lattice and ggplot2 packages
A case study to select a diamond - to explain ggplot()

This course will help you draw meaningful knowledge from the data you have.

Three systems of data visualization in R are covered in this course:

A. Base Graphics    B. Lattice package  C. GGPlot2

     

A. Types of graphs covered in the course using the base R package:

Single Continuous Variable:  Histogram, Density Plot, Box-Whisker Plot 

Single Discrete Variable: Bar Chart 

Two Continuous Variable: Scatter Plot

Two Variable: One Continuous, One Discrete: Box-Whisker Plot, Pie Chart, Dot Chart, Strip Chart 

Two Variables: Both Discrete: Mosaic Plot, Stacked Bar Plot       

Time series: Line Charts


B. Types of graphs covered in the Lattice package:
Histogram, Density Plot, Box-Whisker Plot, Bar Chart, Scatter Plot, Dot Chart, Strip Chart


C. Graphs covered in GGPlot2 package:
In this section you will learn about 7 layers in ggplot() and how to use these. In addition there is a project of selecting a diamond from the dataset  of 54000 diamonds, based on my budget.

Commonly Used Graphs: Histogram, Density Plot, Box-Whisker Plot, Bar Chart, Scatter Plot, Dot Chart, Strip Chart


Mastering Data Visualization with R
$ 99.99
per course
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