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Data Science: R Basics

Chapters

1Getting Started with R and RStudio

2R Language Fundamentals

3Data Types and Structures

4Vectors and Factors

5Matrices, Arrays, and Lists

6Data Frames and Tibbles

7Importing, Exporting, and Reading Data

8Data Cleaning and Transformation with dplyr

9Reshaping Data with tidyr

10Working with Dates, Strings, and Categories

11Exploratory Data Analysis and Visualization with ggplot2

Grammar of graphics basics ggplot aesthetics and mappings Geoms for points lines bars Statistical transformations Scales and guides Faceting with wrap and grid Themes and theme elements Labels titles and annotations Color palettes and viridis Coordinate systems and flips Position adjustments Dealing with overplotting Saving plots ggsave Plotting time series Plotting distributions

12Control Flow, Functions, and Apply Family

13Reproducibility, Projects, and Packages

14Basics of Statistical Modeling in R

15Working with Larger Data and Performance

Courses/Data Science: R Basics/Exploratory Data Analysis and Visualization with ggplot2

Exploratory Data Analysis and Visualization with ggplot2

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Explore data patterns and communicate insights using the grammar of graphics.

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Grammar of graphics basics

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