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

Reading CSV with readr Base R read table and read csv Writing CSV and TSV Reading Excel with readxl Writing Excel with openxlsx Reading JSON with jsonlite Reading XML with xml2 Reading RDS and RData Connecting to databases DBI Using odbc and RPostgres Querying with dplyr dbplyr Reading web data httr rvest Handling encodings and locales Efficient parsing and column types Data validation on import

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/Importing, Exporting, and Reading Data

Importing, Exporting, and Reading Data

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Read, write, and connect to common data formats and data sources.

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Querying with dplyr dbplyr

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