This Lesson Covers
- What’s an Open Lab?
- Why R?
- Learning objectives for the semester
- Setup: R, R Studio
- A quick example
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Download required data (listings.csv)
This Lesson Covers
- Reproducibility
- Projects in RStudio
- Importing data
- Objects and classes
- Tables for categorical data
- Exploring continuous data
- Missing data
- Saving output
- ggplot (time allowing)
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Download required data (Five Thousand Wine Reviews)
This Lesson Covers
- Review: Starting a New Project in R, loading the tidyverse and importing data
- Filtering
- Relational and Assignment Operators
- Reordering Data (arrange)
- Selecting Data (select)
- Renaming Columns
- Adding New Variables
- Summarizing Data
- Piping
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Download required data (Boston AirBnB Data)
This Lesson Covers
- What is Exploratory Data Analysis?
- What do we have? – dim, str, and summary
- Frequency – Univariate EDA
- Covariation – Two or more variables
- Categorical vs Categorical Variables
- Categorical vs Continuous Variables
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Download required data (Brazilian E-Commerce)
This Lesson Covers
- Merging / Joining Dataframes
- Reshaping with tidyr
- R Markdown
- Markdown Syntax
- Creating Reproducible Reports
This Lesson Covers
- Terminology
- Simple Linear Models with Plots
- Multiple Regression – Formula notation in R
- Modeling
- Simulations
- Reproducible simulations