Visualizing Protest Groups Over Time: Data Types and Distributions in R

R studio problem.
Code already runs fine, just need questions under this:
Create a graphic or graphics (choose which you think is best and explain why you chose it as a comment in your code or as a separate document) for the group protesting by date (assoc_actor1). Amongst the choices are a stacked bar graph and overlaid lines, but you are free to choose something else.
Identify the type of variable for each and the distribution for each (again, as a comment in your code or as a separate document
Have R return the data type for each variable. Did R guess the data type correctly?

Struggling with where to start this assignment? Follow this guide to tackle your assignment easily!

Here are the questions you need under your R Studio problem:

  1. What type of graphic did you choose and why?

    • Explain whether you selected a stacked bar graph, overlaid lines, or another visualization and justify your choice.
  2. What type of variable is each one?

    • Identify the variable type for assoc_actor1 (categorical/nominal) and date (ordinal or continuous).
  3. What is the distribution of each variable?

    • Describe the distribution pattern (e.g., normal, skewed, uniform, or categorical frequency distribution).
  4. What data type did R assign to each variable?

    • Use class() or str() to check the data type for assoc_actor1 and date.
  5. Did R correctly guess the data type?

    • Analyze whether R correctly interpreted the data type and whether any conversions were necessary (e.g., converting factors to characters or dates).

Would you like a sample R code snippet to check and visualize this? 😊

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