1. Overview of the workshop

Welcome!

• We are Leah & Hansen

• Today we learn, tomorrow we build

• Morning sessions 08:30–12:00 with a coffee break 10:00–10:30

• Lunch 12:30–13:30

• Afternoon sessions 13:30–17:30 with a coffee break 15:00–15:30

• The repository (aka ‘repo’) is our workshop landing page:

  https://github.com/NEFSC/READ-PSB-LWT-Shiny_SMM22

Day 1 Schedule

• • 0830-0930: Overview and Welcome, end with discussion

  • 0930-1000: Apps in Action - NERW

  • 1000-1030: Coffee

  • 1030-1100: Apps in Action - NERW (continued)

  • 1100-1200: Apps in Action - WhaleMap

  • 1200-1330: Lunch

  • 1330-1400: Intro to Shiny

  • 1400-1500: Shiny tour - NERW

  • 1500-1530: Coffee

  • 1530-1630: Shiny tour - WhaleMap

  • 1630-1730: Discussion and Q&A

Summary of pre-workshop survey

• At least 17 folks online from the west coast of the US to central Europe

• A few of us in Florida

Summary of pre-workshop survey

Summary of pre-workshop survey

Summary of pre-workshop survey

Summary of pre-workshop survey

We don’t have computer science training…

But we have figured it out with the help of these resources:

• RStudio resources

• GitHub

• Stackoverflow

• Google

• Workshops and webinars (e.g., Data Carpentry, Openscapes, etc.)

• Other people!

  • R user group at NEFSC, grad student group at Dal, Twitter (Tidy Tuesdays, R ladies, etc.)

Foundation of all data analysis is good data management

• Consistent data types and column names

  • Date formatting

  • QA/QC of sources of human error

• Write code to encompass universal processes

Github and our workshop repo

• Everyone should have a GitHub account by now

• But what even is GitHub?

  • Tracks changes, eases collaboration with others and your future self, organizes your work

    • https://docs.github.com/en/get-started/quickstart/hello-world

    • http://ohi-science.org/data-science-training/github.html#setup-git-github

• Tour of our workshop repository

Discussion

• What repeatable processes occur in your work?

• Do you have time-sensitive materials to distribute to stakeholders?