![]() ![]() Submit the link to the HelloWorld.md file on your Github repo. ![]() Push the document to the datasciencecoursera repo you created on Github Submit the link to the forked repository on your Github account.Īdd the line "# This is a markdown file" (without the quotation marks) to the document (without the quotation marks).A document should open that looks like this. Enter a title, your name, and the date, then click OK. To play around, start with the following: Create a new Rmd file by clicking file -> new file -> R Markdown. Fork the data sharing repository here: For more detailed information, check out this tutorial provided by RStudio.z3tt / github.R Last active 4 days ago 114 Fork 38 Code Revisions 16 Stars 114 Forks 38 Embed Download ZIP Configure GitHub for Rstudio Raw github.R 1. Submit the link to your GitHub account (or a direct link to your datasciencecoursera repo) Part 3 GitHub Instantly share code, notes, and snippets. When you work in RStudio from a project that does not have integration with a Git repository, you can create R scripts and work with data assets from the.Set up a Github account (you may use your own name or a pseudonym). See Links Below if you have trouble installing R and RStudio: Submit a screenshot of Rstudio open on your screen using one of these formats: png, jpg, gif, pdf.This video also shows how can you clone a repo, commit a change and push it back to its master on Github. It could be as big as updating a package file or as simple as managing a simple repo. This easy project is your chance to demonstrate that you’ve done the basic software setup (R, RStudio, and Github) that will get you through the rest of the Data Science Specialization. This video explains how to connect your RStudio with Git (Github) for a better R Programming / Software Development Workflow. Do you see an option to create from Version Control If yes, good. Now that you’ve learned about the basic tools found in the data scientist’s toolbox, we want to make sure that you’ve assembled those tools and are ready to begin using them. Make sure RStudio can find the git executable. The Course Project for this course is pretty straightforward. Github repo for rest of specialization: Data Science Coursera Part 1 The Data Scientist's Toolbox Project (JHU) CourseraĪ image video link walkthrough of the project + answers is available at the end of this quiz. ![]()
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