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DW Exercise 20

DW Exercise 18

DW Exercise 19

DW Exercise 16

5-5 Subset data 5-6 Restructure by pivot or melt 5-7 Restructure by transpose 5-8 Restructure by stack/unstack 5-9 Restructure by merging/joining

Syllabus video

Wk 8 video

Wk 7 part 2

Intro part 1

205 wk 2

Intro part 2

6-4 Gain proficiency in using package dplyr for data manipulation 6-5 Exhibit best practices for creating reproducible analyses using R Markdown

6-1 Define what the tidyverse is and identify component packages 6-2 Gain proficiency in using package readr for data import. 6-3 Gain proficiency in using packages tidyr for data tidying

5-10 SQL for data restructuring

Data Wrangling mod 5 part 1 lecture

Date Wrangling module 4 part 2 lecture

Data wrangling module 4 part 1 lecture

Data Wrangling module 3 part 3 lecture

Data Wrangling module 3 part 2 lecture

Data Wrangling module 3 part 1 lecture

Week 1 205 video

Welcome video 205N Spring 2024

Welcome video data 210

Data wrangling module 1 part 3 lecture

Data Wrangling module 1 lecture 2

Data Wrangling module 1 part 1 lecture

Data Wrangling module 2 part 1 lecture

Data wrangling module 2 part 2 lecture video

Wk 7 part 1