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01-1: Introduction to R
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Chapter 1: R Introduction
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02-0: Clone Github Repositories
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Chapter 2: Github
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02-1: Introduction to Quarto
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Chapter 2: Quarto
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02-2: Using Quarto to Create Presentations
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Chapter 2: Quarto
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03-1: Importing Files and Exporting to Files
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Chapter 3: Data Wrangling
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03-2: Data wrangling with tidyverse: The Basics
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Chapter 3: Data Wrangling
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03-3: Reshaping and Merging
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Chapter 3: Data Wrangling
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04-1: Data Visualization with ggplot2: Basics
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Chapter 4: Data Visulization
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04-2: Data visualization with ggplot2: More in One
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Chapter 4: Data Visualization
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04-3: Data visualization with ggplot2: Fine Tuning
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Chapter 4: Data Visualization
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05-1: User-defined Function, Loop, and Parallelization
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Chapter 5: Function and Loop
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06-1: How to write R codes, manage Projects, work with RStudio
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Chapter 6: Reproducibility
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07-1: Date and String Management
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Chapter 7: Date and String
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08-1: Making Tables with flextable
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Chapter 8: Make Tables
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08-2: Make Regression and Summary Tables with modelsummary
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Chapter 8: Make Tables
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09-1: R as GIS: Vector Data Basics with the sf package
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Chapter 9: Spatial Data
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09-2: R as GIS: Raster Data Basics
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Chapter 9: Spatial Data
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09-3: R as GIS: Creating maps from vector data
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Chapter 9: Spatial Data
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09-4-1: R as GIS: Interaction of Vector Datasets I
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Chapter 9: Spatial Data
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09-4-2: R as GIS: Interaction of Vector Datasets II
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Chapter 9: Spatial Data
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09-5: R as GIS: Interaction of Vector and Raster Datasets
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Chapter 9: Spatial Data
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09-6: R as GIS: Download Spatial Datasets using R
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Chapter 9: Spatial Data
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