Data Visualization using R Programming

Learn why, what, how about data visualization in simple and easy way by using R

Last updated 1/2020

English

What you'll learn

1 section • 15 lectures • 10h 15m total length

Introduction1:34
1. Data Visualization using R, Pie Charts, 3D Pie Charts & Bar Charts59:20
2. Box Plots54:38
Explore creating box plots, bar charts, and pie charts in R. Learn to customize plots, save outputs, and interpret box plots with quartiles, median, and whiskers.
3. Histograms & Line Graphs45:26
4. Scatter Plots & Scatterplot Matrices1:03:47
Learn to create and interpret scatter plots and scatterplot matrices in R using base plotting, including customizing axes, labels, and exploring relationships between multiple car attributes.
5. Low Level Plotting56:01
6. Bar Plot & Density Plot46:31
Master bar plots and density plots in R, learn to generate multiple plots in one graph, and apply box plots, histograms, and real-time data analysis.
7. Combining Plots35:37
8. Analysis with ScatterPlot, BoxPlot, Histograms, Pie Charts & Basic Plot51:07
9. MatPlot, ECDF & BoxPlot with IRIS Dataset1:02:55
10. Additional BoxPlot Style Parameters1:01:41
Explore box plots in R and customize them with additional style parameters such as colors, fills, median lines, outlier handling, and whisker types, using iris data and boxplot examples.
11. What is Data Science30:42
12. What is Machine Learning25:06
13. Data Visualization using Pandas19:33
Visualize a used cars data set with Pandas, exploring distribution, mean and median, and using box plots and scatter plots to examine price, model, color, and transmission.
Summary1:42

If you want to work in exciting analytics and data visualization project, then this is the starting point for you.
Data is the currency of now and potential to use it the right way, at the right time for the right reason gives you possibility beyond imagination.
Data visualization is a vast topic and consist of many sub-parts which are a subject in itself, we in our course have tried to paint a clear picture of what you need to know and what people will be looking of you in a visualization project.
UX in Data visualization is key in modern times to meet the expectation of your user, this course will highlight what are the benefits of using a good UX and how to do it.
This course is structured to provide all the key aspect of Data visualization in most simple and clear fashion.So you can start the journey in Data visualization world.

1. Data Visualization using R, Pie Charts, 3D Pie Charts & Bar Charts

2. Box Plots

3. Histograms & Line Graphs

4. Scatter Plots & Scatterplot Matrices

5. Low Level Plotting

6. Bar Plot & Density Plot

7. Combining Plots

8. Analysis with ScatterPlot, BoxPlot, Histograms, Pie Charts & Basic Plot

9. MatPlot, ECDF & BoxPlot with IRIS Dataset

10. Additional BoxPlot Style Parameters