Comparing geographies with ggplot2 visualizations

When exploring Census or ACS data, you'll often want to know how data varies among different geographic units. For example - which US states have higher - or lower - median household incomes? This can be accomplished through visualization using dot plots, which are particularly effective for showing ranks visually. In this exercise, you'll use the popular ggplot2 data visualization package to accomplish this.

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Analyzing US Census Data in R

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Cobalah latihan ini dengan melengkapi kode contoh ini.

# Access the 1-year ACS  with the survey parameter
ne_income <- ___(geography = "state",
                     variables = "B19013_001", 
                     ___ = "acs1", 
                     state = c("ME", "NH", "VT", "MA", 
                               "RI", "CT", "NY"))

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