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Gu Jiaying #7

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12 of 22 tasks
GuJiaying0923 opened this issue Sep 27, 2023 · 2 comments
Open
12 of 22 tasks

Gu Jiaying #7

GuJiaying0923 opened this issue Sep 27, 2023 · 2 comments

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@GuJiaying0923
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GuJiaying0923 commented Sep 27, 2023

Hello everyone! Please use this checklist over the next few weeks as you go through your health data science journey 🎉. Tick each item as your complete it!


Week 2: Your first repository

  • 1. Install GitHub desktop and connect it to your GitHub account
  • 2. Create a public repository and add a readme file
  • 3. Publish the repository to GitHub
  • 4. Add a new file in your local repository, commit the file addition, and push it to the remote repository on GitHub
  • 5. Modify the new file (or the Readme file), commit the change, and push it to the remote repository on GitHub
  • 6. Comment on this issue with a link to your repository

Week 4: Rmarkdown

  • 1. Create a new public repository on GitHub Desktop and add a readme file. T
  • 2. Publish the repository to GitHub
  • 3. Open RStudio and create a new project in an existing directory (the directory of your repository)
  • 4. Download the file "R_Rstudio_Rmarkdown.Rmd" from the week 4 "Practical: R markdown" section on MyAberdeen and save it in your project
  • 5. Work through the Rmarkdown file, remembering to commit and push your changes to the remote repository on GitHub
  • 6. Optional: if you have questions you'd like to discuss with your group members, create issues on GitHub and let them know
  • 7. Comment on this issue with a link to your new repository

Week 5: Practical: reading data in R

  • 1. Create a new public repository on GitHub Desktop and add a readme file. This will be the main repository for the R material from this course, so give it a good name 😃
  • 2. Publish the repository to GitHub
  • 3. Open RStudio and create a new project in an existing directory (the directory of your repository)
  • 4. Create an appropriate folder structure according to the good coding practices discussed in week 5
  • 5. Download the data files and Rmarkdown file from the week 5 "Practical: reading data in R" section on MyAberdeen and save them in the appropriate folders in your project
  • 6. Work through the Rmarkdown file, remembering to commit and push your changes to the remote repository on GitHub
  • 7. Optional: if you have questions you'd like to discuss with your collaborators, create issues on GitHub and let them know
  • 8. Comment on this issue with a link to your new repository

Week 6-10: Your project
Now that you have become familiar with GitHub, you can start using it to prepare your report, and get help and feedback from your group members.

  • Comment on this issue with a link to your report repository
@GuJiaying0923
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@dblana
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dblana commented Sep 29, 2023

Nice work Jiaying! 😃

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