OverviewIn this assignment, you'll have the opportunity to work with data from Count Love (Links to an external site.)to explore trends in protests around the United States. You'll use your skills...

OverviewIn this assignment, you'll have the opportunity to work with data from Count Love (Links to an external site.)to explore trends in protests around the United States. You'll use your skills acquired thus far in the course to asses where, why, when, and how protests are happening. In doing so, you'll achieve the following learning objectives: Use of version control for managing your code Declaring document rendering using markdown syntax Foundational programming skills in R (vectors, lists, functions, etc.) There are some admittedly tedious parts of this assignment, but they are borne out of genuine data analysis questions. Becoming comfortable with the foundational skills, such as manipulating strings and working with dates, are core to being able to ask data science questions of interest. Instructions Start this assignment by following this link (Links to an external site.) to create your own private repository for this assignment. This will automatically create a private repository which you will submit to Canvas as your assignment. You do not need to fork the repository (just clone it to your machine and begin working). Then, complete the steps in the README.md and analysis.R files (note, you'll need to follow instructions from both files!). Grading Between the README.md and analysis.R files, there are roughly 50 prompts/instructions, each worth 2 points. Where appropriate, partial credit will be awarded. Submission Once you've finished editing your analysis.r and README.md files, use git to add and commit the changes you've made, and push those changes to your repository on GitHub. Please submit the URL of your GitHub Repository as you assignment submission on Canvas.
count love link: https://countlove.org
Link to start assignment: https://github.com/info201b-2021-aut/assignment-1-foundations-mastery-protests-gdillon1
** the link to start the assignment also has much more information of what needs to be done I copy and pasted what it will show you in the READ.ME file below:
Assignment 1: ProtestsThe past few years in the United States, there has been a surge in protests in support of Black Lives Matter, gender equity, and other social issues. In this assignment, you'll work with data from CountLove -- the same data often cited by the New York Times -- to learn more about demonstrations over the past few years.
By completing the assignment, you will demonstrate the following skills:
Use of version control for managing your codeDeclaring document rendering using markdown syntaxFoundational programming skills in R.Background Research
Before diving into this (or any) dataset, it's important to have domain familiarity (i.e., to know something about the topic). As preparation, I'm asking that you read three articles about protests in the U.S., and provide a brief 1 - 2 sentence summary or takeaway from each one.
In the section below, create an unordered list of the three articles you found. Make sure to provide an appropriate markdown link (not just the URL) to the article in addition to your 1 - 2 sentence summary.
Accompanying Image
In this section, please display one image to accompany your text, and describe why you included it (~2 - 3 sentences). This will require that you download an image into your project folder. In your description, use bold and italics (at least once, for practice) to emphasize some of your points.
Analysis
At this point, you should open up your analysis.R script to begin working with the data. The script will guide you through an initial analysis of the data. Throughout the script, there are prompts labeled Reflection. Please write 1 - 2 sentences for each of these reflections below:
What does the difference between the mean and the median tell you about the distribution of the data?Does the number of protests in Washington surprise you? Why or why not?Looking at the state_table variable, what data quality issues do you notice, and how would you use that to change your analysis (no need to actually change your analysis)?Does the change in the number of protests from 2019 to 2020 surprise you? Why or why not?Do a bit of research. Find at least two specific policies that have been changed as a result of protests in 2020. These may be at the city, state, or University level. Please provide a basic summary, as well as a link to each article.Take a look (View()) your high_level_table variable. What picture does this paint of the U.S.?Critical Reflection
Now that you have had time to work with the data and visualize it, I want you to practice thinking critically about the dataset we provided. An important part of data analysis is reflecting on the assumptions, limitations, and gaps in your datasets. Remember that all datasets have to make assumptions and not all assumptions are bad or unreasonable! Practicing these skill will help you in your career to be self critical and ethically alert.
For this section, please write 2-3 sentences for each of the reflections below:
How was the dataset collected and who collected the data?What assumptions does the dataset make? List atleast two assumptions you identified. For inspiration, check out this blog post that describes one method for identifying data assumptions.What data is missing from the dataset? Think about if there are any data points you would have liked to have seen in the dataset.Final Thoughts
When you are finished, with your analysis, please answer the following questions in 1-2 sentences each.
What about the analysis surprised you?What parts of this analysis did you find challenging?What types of analysis do you wish you were able to do with the dataset, but currently don't have the technical skills to do?
Oct 24, 2021
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