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Learn R programming
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Module 2
Core Data Structures and Data Import
Vector and Data Structure Manipulation
Create and subset atomic vectors, lists, and data frames.
2
Importing Data from CSV, Excel, and SPSS Files
Import data from CSV, Excel, and SPSS files using `readr`, `readxl`, and `haven`.
3
Exploring DataFrame Structure
Examine the structure of a data frame using `str()`, `glimpse()`, and `summary()`.
Factors vs. Characters: Conversion and Distinction
Differentiate between and convert factors and character vectors.
5
Handling Missing Values (NA)
Handle missing values (NA) using `is.na()` and function arguments (e.g., `na.rm`).
Exporting Data Frames to CSV with `write_csv()`
Export data frames to CSV files using `readr::write_csv()`.
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Foundations: R, RStudio, and Project-Based Workflows
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Data Transformation with the Tidyverse