Build Layered Visualizations Data Analysis

get the structure of the gss_sm dataframe. What is the data type of race, sex, region and income? What do the levels refer to?
create a graph that shows a count of religious preferences grouped by region
turn the region counts in percentages
use dodge2() to put the religious affiliations side by side within regions
show the religious preferences by region, faceted version with the coordinate system swapped
using pipes show a 10 random instances of the first six columns in the organdata data set
create a scatterplot of donors vs. year
create a faceted set of line chart graphs showing donors for year for different countries
create a boxplot of the data with coordinates swapped (because the mean is calculated in every boxplot and because R throws an error when trying to calculate means when there is missing data, add the na.rm = TRUE parameter to remove the NA’s).
Replace the boxplot with points
jitter the points
reduce the amount of jitter
using organdata, create a table of summary statistics by country called by_country (show the mean of donors, gdp, health, roads, cerebvas, and the standard deviation of donors)
what is the cerebvas column referring to?
What conclusions can you draw from the previous plot?

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