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hdi_tv.Rmd
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---
title: "Regression and Other Stories: Human Development Index"
author: "Andrew Gelman, Jennifer Hill, Aki Vehtari"
date: "`r Sys.Date()`"
output:
github_document:
toc: true
---
Tidyverse version by Bill Behrman.
Human Development Index - Looking at data in different ways. See
Chapter 2 in Regression and Other Stories.
-------------
```{r, message=FALSE}
# Packages
library(tidyverse)
library(haven)
library(sf)
# Parameters
# Human Development Index data
file_hdi <- here::here("HDI/data/hdi.dat")
# Data that includes state income
file_income <- here::here("HDI/data/state vote and income, 68-00.dta")
# Common code
file_common <- here::here("_common.R")
#===============================================================================
# Run common code
source(file_common)
```
# 2 Data and measurement
## 2.1 Examining where data come from
Data
Human Development Index data.
```{r}
hdi <-
file_hdi %>%
read.table(header = TRUE) %>%
as_tibble() %>%
select(state, hdi, hdi_rank = rank, canada_dist = canada.dist)
hdi
```
State income data for 2000.
```{r}
income <-
file_income %>%
read_dta() %>%
filter(st_year == 2000) %>%
select(
state = st_state,
state_abbr = st_stateabb,
income_2000 = st_income
) %>%
mutate(income_2000_rank = min_rank(-income_2000))
income
```
`hdi` has 51 rows and `income` has 50. Let's verify that the difference is the District of Columbia and that we can otherwise join on the states.
```{r}
all(income$state %in% hdi$state)
setdiff(hdi$state, income$state)
```
```{r}
hdi_income <-
hdi %>%
full_join(income, by = "state")
hdi_income
```
Human Development Index vs. average state income.
```{r, fig.asp=0.75}
hdi_income %>%
drop_na(income_2000) %>%
ggplot(aes(income_2000, hdi)) +
geom_point() +
ggrepel::geom_text_repel(aes(label = state_abbr)) +
labs(
title = "Human Development Index vs. average state income",
x = "Average state income in 2000",
y = "Human Development Index"
)
```
Human Development Index rank vs. state income rank.
```{r, fig.asp=0.75}
hdi_income %>%
drop_na(income_2000_rank) %>%
ggplot(aes(income_2000_rank, hdi_rank)) +
geom_point() +
ggrepel::geom_text_repel(aes(label = state_abbr)) +
scale_x_reverse() +
scale_y_reverse() +
labs(
title = "Human Development Index rank vs. state income rank",
x = "State income rank in 2000",
y = "Human Development Index rank"
)
```
Boundaries for U.S. states using [ussf package](https://github.com/dcl-docs/ussf).
```{r}
us <- ussf::boundaries(geography = "state")
```
```{r}
setdiff(us$NAME, hdi$state)
setdiff(hdi$state, us$NAME)
```
Join boundaries to Human Development Index data.
```{r}
us_hdi <-
us %>%
left_join(
hdi %>%
mutate(
state = str_replace(state, "Washington, D.C.", "District of Columbia")
),
by = c("NAME" = "state")
)
```
Human Development Index by state.
```{r}
us_hdi %>%
ggplot() +
geom_sf(aes(fill = hdi)) +
scale_fill_distiller(palette = "YlGnBu", direction = 1) +
theme_void() +
theme(plot.title = element_text(hjust = 0.5)) +
labs(
title = "Human Development Index by state",
fill = "HDI"
)
```
Number of states you need to drive through to reach the Canadian border.
```{r}
us_hdi %>%
ggplot() +
geom_sf(aes(fill = factor(canada_dist))) +
scale_fill_brewer(palette = "YlGnBu", direction = -1) +
theme_void() +
theme(plot.title = element_text(hjust = 0.5)) +
labs(
title =
"Number of states you need to drive through to reach the Canadian border",
fill = NULL
)
```