Build Layered Visualizations Data Analysis
Description
- 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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