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Welcome to Data Management and Data Cleaning in R

Please review the Data Management Outline and Data Management Setup Project-01.rmd that was sent to your email for more detailed instructions (they are also posted in the google drive link!)

We will be using R Studio, to download R:

https://rstudio.com/products/rstudio/download/#download

Select the version of R Studio for your computer (e.g. Mac, Windows, Linux).

Once the set-up is complete, run install.packages(c('tidyverse','ggplot2', 'rmarkdown'))

Presentations for sessions can be viewed here and downloaded from your browser:

Session 1 :

Session 1 Presentation

Download Exercises:

Go to: https://drive.google.com/drive/folders/1twc2Leu-ZKRQmJQVvHXACTNS65mo4S8l?usp=sharing

Recorded Session 1 *requires a login

Session 2:

Session 2 Presentation

Recorded Session 2*requires a login

Download Exercises:

Week_1_Practice_01.rmd

Week_1_Practice_02.rmd

Go to: https://drive.google.com/drive/folders/1twc2Leu-ZKRQmJQVvHXACTNS65mo4S8l?usp=sharing

Session 3:

Session 3 Presentation

Recorded Session 3*requires a login

Download Exercises:

Week_2_Practice_01.rmd

Week_2_Practice_02.rmd

Go to: https://drive.google.com/drive/folders/1twc2Leu-ZKRQmJQVvHXACTNS65mo4S8l?usp=sharing

Contact: lauren@mapdatascience.com

Session 4:

Session 4 Presentation

Recorded Session 4*requires a login

Download Exercises:

Week_2_Practice_02A.rmd

Week_2_Practice_03.rmd

  • .html and .word on google drive

Storyboard_02.rmd

  • .html on google drive

Date_Management_Github_Setup.rmd

Go to: https://drive.google.com/drive/folders/1twc2Leu-ZKRQmJQVvHXACTNS65mo4S8l?usp=sharing

Contact: lauren@mapdatascience.com

Session 1:

  • Brief Introduction to Administrative Data
  • Data Cleaning and Data Management
  • Data Management with R
  • Introduction to Tidyverse

Session 2:

  • Tidyverse mutate, group_by, summarize
  • Advanced Tidyverse in dplyr
  • Reshaping Data
  • Joins

Session 3:

  • Types of Data
  • Working with Dates
  • Working with lists and purr
  • Introduction to regex, stringr and stringi

Session 4:

  • R Markdown Continued
  • Embedding tables, plots
  • Github version control