Please answer questions 2 and 3 based on the graph shown. I changed Turkey to Brazil as requested by Q1, was that all I needed to do?

The data set at hand contains the voting records of every nation in the UN from 1946 - 2019 on three different issues: Colonialism, Human Rights, and Nuclear Weapons. Computing on the Data Question 1 Create a data visualization the shows the proportion of \"yes\" votes over time on three different issues: Colonialism, Human Rights, and Nuclear Weapons. Construct the plot to compare the voting patterns of the United States, the United Kingdom, and one other country of your choosing (not Turkey). Question 2 Formulate two claims about voting behavior that is supported by this graphic. Categorize each claim as begin a summary, generalization, causal claim, or prediction. Question 3 What else would you like to learn about this data set or the context of voting at the United Nations that would allow you to make more informed, accurate, thoughtful, and effective claims? List three specific items. Question 1C unvotes |> filter (country &in% c("United Kingdom", "United States", "Brazil") ) |> group_by (country, year, issue) |> summarize(percent_yes = mean (vote == "yes") ) |> ggplot (mapping = aes (x = year, y = percent_yes, color = country) ) + geom_point (alpha = 0.4) + geom_smooth (method = "loess", se = FALSE) + facet_wrap (~issue) + labs (title = "Percentage of 'Yes' votes in the UN General Assembly", y = "Proportion Yes", x = "Year", color = "Country" ) + theme ( legend . position = "bottom") Percentage of 'Yes' votes in the UN General Assembly Colonialism Human rights Nuclear weapons 1.00 - .. 0.75 - Proportion Yes 0.50 - 0.25 0.00 - 1960 1980 2000 2020 1960 1980 2000 2020 1960 1980 2000 2020 Year Country Brazil - United Kingdom - United States