- Please read: D'lgnazio & Klein (2020), the Introduction.
- Please read: Freeman & Ross (2019), chapters 1-4.
- Download and install Atom.
- Download and install Git.
- Sign up for a GitHub user account.
- Configure git on your computer.
- Download and install R (optional for this assignment but you should do it now).
- Download and install RStudio (optional for this assignment but you should do it now).
In Part I, you will practice working with the command line.
Step #1: In your directory, you will find a file named git-commands.md. Open the file with Atom, which is our text editor.
Step #2: Following each prompt in the file git-commands.md, write the line of code that you used to accomplish the task or otherwise answer the question.
Step #3: Save the changes to you've made to git-commands.md and then add, commit, and push your changes to GitHub.
In Part II, you will create a report in Markdown about a data visualization featured in Data Feminism. First, browse through all the chapters, and pick a data visualization that stands out to you or seems interesting to you from the textbook. Note: we do not mean a photo or an image but a data visualization — that is, a graphical representation of data, like a line chart, graph, or map. Your task is to create a report about this visualization that summarizes it and explains its significance and background.
-
Create a Markdown file that will contain your report called
report.mdin the root directory of the repository. [2 points] -
Come up with a title for your report, and make the title a top-level Markdown header. [2 points]
-
Include "By [Your Name]" on the line beneath the title, and make your name a level-2 header. [2 points]
-
Include the date of your report on the next line, and make the date italicized. [2 points]
-
Create a level-2 header titled "Data Viz Summary." [2 points]
-
Include an image of the data visualization by downloading the image and including it as a file in this repository (you will probably want to rename the file). Your image should display properly on GitHub, so if it's not showing up, you haven't used the correct file path. [5 points]
-
Beneath the image, provide a 100-word summary of the visualization — what specifically does the data viz show or communicate? [3 points]
-
Include a quotation from Data Feminism (or another source) about the data visualization or its significance somewhere in the summary. Format this quotation as a block quote. (This quotation does not count for your 100-word summary). [3 points]
-
Create a level-2 header titled "Data Viz Biography." [2 points]
-
In this section, you will answer the following questions. Bold these questions, make them an ordered list, and then write answers (not bolded) beneath the questions:
- Who or what institution produced the visualization? (Hint: refer to "Figure Credits")
- When was it produced?
- Who is the audience for the visualization?
- How might the visualization be interpreted or misinterpreted? What consequences might this interpretation/misinterpretation have?
- How, if at all, does the data visualization represent power or systems? [10 points]
- Lastly, add at least one hyperlink and one emoji somewhere in the report. You can add them anywhere! [2 points]
- Important resources for this assignment: Markdown Cheatsheet; Markdown documentation on GitHub; The Emoji Cheat Sheet
- Freeman & Ross (2019) Refers to the course textbook, written by Mike Freeman and Joel Ross, Programming Skills for Data Science: Start Writing Code to Wrangle, Analyze, and Visualize Data with R, 2019. The book is available online through the library.
- D'lgnazio & Klein (2020) Refers to the course textbook, written by Catherine D'lgnazio and Lauren F. Klein, Data Feminism, 2020. The book is available online at MIT Press