Part 1

#Bring API
readRenviron("~/.Renviron")

# Import data Puerto Rico Graduate Degree %

pr_grad <- get_acs(
  geography = "county",
  variables = "DP02PR_0066PE",   # ← 여기만 변경!!
  state = "PR",
  survey = "acs5",
  year = 2022
)
## Getting data from the 2018-2022 5-year ACS
## Using the ACS Data Profile
#Top 5, and Least 5
pr_grad %>% arrange(desc(estimate)) %>% head(5)
## # A tibble: 5 × 5
##   GEOID NAME                                 variable     estimate   moe
##   <chr> <chr>                                <chr>           <dbl> <dbl>
## 1 72061 Guaynabo Municipio, Puerto Rico      DP02PR_0066P     17.8   1.4
## 2 72127 San Juan Municipio, Puerto Rico      DP02PR_0066P     16.6   0.7
## 3 72025 Caguas Municipio, Puerto Rico        DP02PR_0066P     10.9   0.9
## 4 72139 Trujillo Alto Municipio, Puerto Rico DP02PR_0066P     10.6   1.4
## 5 72063 Gurabo Municipio, Puerto Rico        DP02PR_0066P     10.5   2
pr_grad %>% arrange(estimate) %>% head(5)
## # A tibble: 5 × 5
##   GEOID NAME                              variable     estimate   moe
##   <chr> <chr>                             <chr>           <dbl> <dbl>
## 1 72049 Culebra Municipio, Puerto Rico    DP02PR_0066P      1.4   1.5
## 2 72001 Adjuntas Municipio, Puerto Rico   DP02PR_0066P      2.5   0.9
## 3 72087 Loíza Municipio, Puerto Rico      DP02PR_0066P      2.7   0.8
## 4 72039 Ciales Municipio, Puerto Rico     DP02PR_0066P      2.8   1.1
## 5 72083 Las Marías Municipio, Puerto Rico DP02PR_0066P      3     1.6
#Margin of Error plot
gg_grad <- pr_grad %>%
  ggplot(aes(x = estimate, y = reorder(NAME, estimate))) +
  geom_point() +
  geom_errorbarh(aes(xmin = estimate - moe, xmax = estimate + moe)) +
  labs(
    title = "Graduate Degree (%) in Puerto Rico Municipalities",
    subtitle = "ACS 2022 5-year estimates",
    x = "Percent with Graduate Degree",
    y = "Municipality",
    caption = "Source: ACS via tidycensus"
  )
## Warning: `geom_errobarh()` was deprecated in ggplot2 4.0.0.
## ℹ Please use the `orientation` argument of `geom_errorbar()` instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
gg_grad

# Using Ploty, create interactive chart
ggplotly(gg_grad)

Part 2

## Getting data from the 2018-2022 5-year ACS
## Downloading feature geometry from the Census website.  To cache shapefiles for use in future sessions, set `options(tigris_use_cache = TRUE)`.
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Note that the echo = FALSE parameter was added to the code chunk to prevent printing of the R code that generated the plot.