What you'll learn:
- Understand which plots are suitable for different types of data, ensuring you choose the best visualization method for your analysis.
- Learn to analyze and understand your data thoroughly before creating any plots, leading to more accurate and insightful visualizations.
- Master the art of data visualization by creating various types of graphs using R's base package, lattice, and ggplot2 packages.
- Gain hands-on experience through a case study on selecting a diamond, illustrating the use of ggplot() for complex data visualization tasks.
- Develop the ability to create clear, informative, and aesthetically pleasing visualizations that effectively communicate your data insights.
- Learn to use the lattice package for creating multi-panel plots, allowing for a more comprehensive view of your data.
- Apply data visualization techniques to real-world scenarios, improving your ability to present data-driven insights compellingly.
- Enhance your resume with advanced data visualization skills in R, making you a valuable asset in data-driven roles.
- Gain confidence in your ability to transform complex data into clear and actionable visual insights using 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
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
What are other students saying about this course?
Very thorough. Covers all the details without glossing over anything. Good consistent pace and nice short segments. Very diligent in always saying what keys he was pressing during the demos, which is often overlooked. Excellent course. (5 stars by Roger Holeywell)
Explanations are clear and coherent. This course is well structured and very-very useful. Thank you so much for your help! (5 stars by Martina Katalin Szabó)
Todos os cursos oferecidos pelo Prof. Sandeep Kumar na Udemy são excelentes, especialmente em análise e visualização de dados.(5 stars by Jose Maria Nogueira da Costa )
