Mastering in Visualization with R programming

Explore the open-source R programming language, its powerful data analysis and visualization capabilities, and its extensible graphics and package ecosystem for statistics, data mining, and machine learning.

Explore basic math operations and variable concepts in R, covering binary, continuous, discrete, and categorical variables, and navigate the RStudio interface to import data, run code, and manage packages.

Explore how lists and data frames work in R, creating a mixed-type list and a two-dimensional data frame with equal-length columns. Compare their structures, types, and usage in analysis.

Learn how to add colors to graphs in R using rgb color specification, color names, and numeric indices to create readable, interactive bar plots.

Explore line graphs to display data points with straight line segments, track changes over time, and compare crime rates in 1983 and 1993 using time series analysis in R.

Learn how scatter plots visualize the relationship between two quantitative variables, identifying positive, negative, or no correlation by examining the pattern of points on the x-y plane.

Master the table plot in R to visualize diamond attributes—price, carat, x, y, z, color, and clarity—while handling missing values in the diamond dataset.

Learn to build and customize organizational charts in R using a dataset of regions, countries, states, and cities; explore hierarchical structures and browser-based visualizations.

Master the creation of a 3d pie chart in R by grouping region data, counting occurrences, and labeling each sector with region names, then customize colors for clear visualization.

Explore radial plots in R to visualize multiple variables on spokes with a common origin, customizing labels, grid lines, and polygon fills using radial.plot.

Explore gauge charts in R programming using Google Charts to visualize a single key measure, such as city population, with a speedometer-like gauge and color ranges from green to red.

Explore calendar charts to display daily activity across multiple years, using a dataset with date and average temperature from 2002–2004, implemented with a Google visualization package.

Learn to plot two-set Venn diagrams in R using a diagram package, with customizable colors, transparency, and labels. Export the diagrams as image files for easy sharing.