Preparations

To facilitate a smooth and productive experience, please complete this checklist to ensure your readiness for this workshop.

Pre-Requisites:

Basic understanding of statistics and data analysis concepts, and some familiarity with R/R-Studio.

Syllabus

Click Here for Syllabus

Install R and R-Studio:

Please take a moment to prepare your computer by installing the necessary software.

• Install R (base): https://cran.r-project.org/mirrors.html

• Install R-Studio: https://posit.co/download/rstudio-desktop/

Install Coursework Packages:

Ensure the installation of the specified R packages by executing the following commands in your R console or R-Studio.

• install.packages("ggplot2")
• install.packages("xts")
• install.packages("TTR")
• install.packages("tseries")

These packages are essential for the workshop, and having them installed in advance will save time and ensure a seamless learning experience. If there are no error messages, you're all set!

Past HI-DSI Workshop Attendees:

Please login to KOA with your own accounts and start an R-Studio interactive session: Click Here

Resources:

• Workshop Presentation: Click Here

• Ice Breaker Google Slide: Click Here

• Data Set and R notebook:
  • Climate change data Excel file
  • R-notebook for workshop
• References:
  • Data Wrangling Part I: https://change-hi.github.io/modules/data-wrangling-1/
  • Data Wrangling Part II: https://change-hi.github.io/modules/data-wrangling-2/
  • Stationarity Testing (Addtl Info): https://rpubs.com/richkt/269797

You’re All Set!

We appreciate your proactive approach to preparing for the workshop, and we look forward to a productive and engaging session. Thank you!!