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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

Creating data frames Reading built in datasets Inspecting structure and summary Column types and conversion Row and column subsetting Filtering rows base R Adding and removing columns Sorting and ranking rows Handling missing values in frames Tibbles creation tibble tribble Printing and glimpse Rowwise and columnwise ops Renaming columns Row names vs explicit id Combining frames rbind cbind

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

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/Data Frames and Tibbles

Data Frames and Tibbles

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Operate on tabular data structures central to most data science workflows.

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Creating data frames

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