Udemy course Mastering Data Visualization with R by Sandeep Kumar
Mastering Data Visualization with R is the best Udemy course on the market. With this offer they will be able to greatly improve their knowledge and become more competitive within the Business category. Therefore, if you are looking to improve your Business skills we recommend that you download Mastering Data Visualization with R udemy course.
Here you can see Udemy courses linked to: Business.
Course data:
- Author: Sandeep Kumar
- Course rating: 4.7
- Category: Business
- Modality: Online
- Status: Available
- Idiom: English
Abouth Sandeep Kumar
PMI-PMP, IRCA Registered Lead Auditor, ASQ – CSSBB, CQA, CQE, CMQ/OE, IIA – CIA
What the udemy Mastering Data Visualization with R course teaches?
What you’ll learn 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()
Visualize data using R Base Graphics, Lattice Package and ggplot (GGPlot2) for data analysis and data science
More information about the course Mastering Data Visualization with R
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 T wo 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
