Data Manipulation and Analysis

Fall 2020 / Spring 2021

Data Manipulation and Analysis

Fall 2020 / Spring 2021

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Preliminaries

  1. Pre-Assessment

Please allocate 45 minutes of synchronous/in-class time for your students to complete the pre-test at this location:

Unit 1: Vectors

  1. Vectors
  2. Numeric Vectors
  3. Logical Vectors
  4. Vectors and Coercion
  5. Lists
  6. Tibbles
  7. Functions
  8. Conditionals and Loops
  9. Efficiency
  10. Unit 1 Project

Unit 2: Importing, Exporting and Preparing Data

  1. Spreadsheets
  2. Importing Data
  3. Intro to the Tidyverse
  4. Pivots
  5. Uniting and Separating
  6. Missing Values

Unit 3: Data Transformation

  1. Tidyverse
  2. Select
  3. Arrange
  4. Filter
  5. Summarising and Grouping
  6. Mutate

Unit 4: Relational Data

  1. Relations
  2. Keys
  3. Mutating Joins
  4. Filtering Joins

Unit 5: Graphing

  1. Intro to Graphing
  2. Intro to Qplot
  3. Geoms
  4. Aesthetic Attribution

Unit 6: Data Analysis

  1. Intro to Statistical Analysis
  2. Linear Modeling
  3. Statistics
  4. Good Models
  5. Interpolation and Extrapolation