Instructions

As with previous assignments, follow this link (Links to an external site.)Links to an external site. to create your own private repository for this assignment. This should automatically create a private repository which you will submit to Canvas as your assignment.

Unlike previous assignments, the repo will not have all necessary starter files. You should begin by creating an index.Rmd file, as well as one (or more) files in which to do your analysis (i.e., analysis.R). As you might expect, you'll complete all of you analysis (calculations, creations of maps/graphs, etc.) in your analysis.R file, and you'll use your index.Rmd to simply show the information you've computed. More detailed instructions are below, not on GitHub.

This is an opportunity for you to explore a dataset, and communicate the insights that you find most important. The format of the report is up to you, but it must include each of the following components:

Summary information

To start your report, you should summarize relevant features of your dataset. Write a paragraph providing a high-level overview of shootings in the US, based on the dataset. This should provide your reader with a sense of scale of the issue such as:

• How many shootings occurred?
• How many lives were lost?
• Which cities that were most impacted (you can decide how to measure "impact")?
• At least one other insight of your choice.

Data in this paragraph should reference values that you calculate in R, and should not simply be typed as text into the paragraph.

Summary Table

To show a set of quantitative values to your user, you should include a well formatted summary table of your interest. This should not just be the raw data, but instead should an aggregate tableof information. How you would like to aggregate the information (by city, state, month, day of the week, etc.) is up to you. Make sure to include accompanying text that describes the important insights from the table.