This course on Graphs and Descriptive Statistics with R aims to teach learners how to produce various plots and numeric summaries for data using R. The course covers skills such as creating bar charts, pie charts, boxplots, histograms, scatter plots, and more in R. Students will also learn how to calculate mean, standard deviation, and frequencies, as well as customize the appearance of plots. The teaching method involves a series of 11 tutorial videos suitable for beginners in R programming, with no prior knowledge required. The intended audience for this course is individuals interested in learning R for data analysis and visualization.
Overview
Syllabus
Bar Charts and Pie Charts in R | R Tutorial 2.1 | MarinStatsLectures.
Boxplots and Grouped Boxplots in R | R Tutorial 2.2 | MarinStatsLectures.
Box Plots with Two Factors (Stratified Boxplots) in R | R Tutorial 2.3 | MarinStatsLectures.
Histograms in R | R Tutorial 2.4 | MarinStatsLectures.
Stem and Leaf Plots in R | R Tutorial 2.5 | MarinStatsLectures.
Stacked and Grouped Bar Charts and Mosaic Plots in R |R Tutorial 2.6| MarinStatsLectures.
Scatterplots in R | R Tutorial 2.7 | MarinStatsLectures.
Calculating Mean, Standard Deviation, Frequencies and More in R | R Tutorial 2.8| MarinStatsLectures.
How to Modify and Customize Plots in R | R Tutorial 2.9 | MarinStatsLectures.
Add and Customize Text in Plots with R | R Tutorial 2.10 | MarinStatsLectures.
Add and Customize Legends to Plots in R | R Tutorial 2.11| MarinStatsLectures.
Taught by
MarinStatsLectures-R Programming & Statistics
