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BiB-population-pyramids.Rmd
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BiB-population-pyramids.Rmd
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---
title: 'Grafiken für den Bericht "Demografischen Wandel neu erleben"'
subtitle: 'im Auftrag des Bundesinstitut für Bevölkerungsforschung (BiB)'
authors:
- name: "Cédric Scherer (author)"
url: https://www.cedricscherer.com
affiliation: Cédric Scherer Data Visualization Design
- name: "Thomas Skora (contributor)"
url:
affiliation: Bundesinstitut für Bevölkerungsforschung
affiliation_url: https://www.bib.bund.de/EN/Home.html
- name: "Kay Ochel (contributor)"
url:
affiliation: Bundesinstitut für Bevölkerungsforschung
affiliation_url: https://www.bib.bund.de/EN/Home.html
date: "`r Sys.Date()`"
output:
distill::distill_article:
highlight: kate
toc: true
toc_depth: 2
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE, message = FALSE, warning = FALSE,
dev = "ragg_png", dpi = 250, retina = 1, layout = "l-page",
fig.width = 240*0.0393701, fig.height = 137*0.0393701) ## mm to inch
```
# Vorbereitung
```{r prep}
## Packages
library(tidyverse) ## für "Data Science Workflows", umfasst auch ggplot2
library(here) ## für vereinfachte Ordnernavigation
library(readxl) ## für Datenimport
library(systemfonts) ## für indivudalle Schriftarten
library(patchwork) ## zum Kombinieren von Plots
library(scico) ## Scico Farbpaletten
library(rcartocolor) ## Carto Farbpaletten
library(RColorBrewer) ## ColorBrewer Farbpaletten
library(colorspace) ## zum Adjustieren von Farben
## Funktionen
source(here("src", "bib-pyramid-functions.R"))
## Allg. Achsentitel
title_x_m <- sprintf("\u2190 **Männer** in Tausend")
title_x_f <- sprintf("**Frauen** in Tausend \u2192")
## Beispieldatensatz für die Bevölkerung inkl. Überschüssen
example <- here("data", "Daten_Pyramiden_Broschuere_share.xlsx")
```
# Grafiken
## 1. Bevölkerung
```{r 01-bevoelkerung}
## Daten -----------------------------------------------------------------------
data_91 <- prep_data_pyramid(file = example, sheet = "Bevoelkerung_1991")
data_06 <- prep_data_pyramid(file = example, sheet = "Bevoelkerung_2006")
data_21 <- prep_data_pyramid(file = example, sheet = "Bevoelkerung_2021")
## Farben ----------------------------------------------------------------------
colors <- c("#943C71", "#79afa9")
## Einzelpyramiden -------------------------------------------------------------
p_list <- draw_set_pyramids(colors = colors)
## Pyramiden-Panel -------------------------------------------------------------
draw_all_pyramids(plots = p_list, name = "01_bevoelkerung")
```
## 2. Familienstand
```{r 02-familienstand}
## Daten -----------------------------------------------------------------------
data_91 <- prep_data_pyramid(file = example, sheet = "Familienstand_1991")
data_06 <- prep_data_pyramid(file = example, sheet = "Familienstand_2006")
data_21 <- prep_data_pyramid(file = example, sheet = "Familienstand_2021")
## Farben ----------------------------------------------------------------------
colors <- c("#A6A6A6", "#F7AF7A", "#F27279", "#72B2C3")
## Einzelpyramiden -------------------------------------------------------------
p_list <- draw_set_pyramids(colors = colors)
## Pyramiden-Panel -------------------------------------------------------------
draw_all_pyramids(plots = p_list, name = "02_familienstand")
```
Die hier im Folgenden genutzten Originaldaten unterliegen einer Sperrfrist und sind daher nicht Teil des Repositories. Die folgenden Codes lassen sich mit dem Beispieldatensatz nicht ausführen und werden nur der Vollständigkeit und Transparenz halber gezeigt.
## 3. Schulabschluss
```{r 03-schulabschluss, eval=FALSE}
## Daten -----------------------------------------------------------------------
data_91 <- prep_data_pyramid(sheet = "Schulabschluss_1991")
data_06 <- prep_data_pyramid(sheet = "Schulabschluss_2006")
data_21 <- prep_data_pyramid(sheet = "Schulabschluss_2021")
## Farben ----------------------------------------------------------------------
colors <- desaturate(carto_pal(n = 5, name = "ag_GrnYl"), .25)
## Einzelpyramiden -------------------------------------------------------------
p_list <- draw_set_pyramids(colors = colors)
## Pyramiden-Panel -------------------------------------------------------------
draw_all_pyramids(plots = p_list, name = "03_schulabschluss")
```
## 4. Berufsabschluss
```{r 04-berufsabschluss, eval=FALSE}
## Daten -----------------------------------------------------------------------
data_91 <- prep_data_pyramid(sheet = "Berufsabschluss_1991")
data_06 <- prep_data_pyramid(sheet = "Berufsabschluss_2006")
data_21 <- prep_data_pyramid(sheet = "Berufsabschluss_2021")
## Farben ----------------------------------------------------------------------
colors <- rev(c("grey50", "#ECED8D", desaturate(darken(carto_pal(n = 3, name = "TealGrn")[2:3], .05), .15)))
## Einzelpyramiden -------------------------------------------------------------
p_list <- draw_set_pyramids(colors = colors)
## Pyramiden-Panel -------------------------------------------------------------
draw_all_pyramids(plots = p_list, name = "04_berufsabschluss")
```
## 5. Erwerb
```{r 05-erwerb, eval=FALSE}
## Daten -----------------------------------------------------------------------
data_91 <- prep_data_pyramid(sheet = "Erwerb_1991")
data_06 <- prep_data_pyramid(sheet = "Erwerb_2006")
data_21 <- prep_data_pyramid(sheet = "Erwerb_2021")
## Farben ----------------------------------------------------------------------
colors <- c("#B5AA99", "#FAC45E", "#1C6773") # grn_or_tan
## Einzelpyramiden -------------------------------------------------------------
p_list <- draw_set_pyramids(colors = colors)
## Pyramiden-Panel -------------------------------------------------------------
draw_all_pyramids(plots = p_list, name = "05_erwerb")
```
## 6. Stellung im Beruf
```{r 06-stellungberuf, eval=FALSE}
## Daten -----------------------------------------------------------------------
data_91 <- prep_data_pyramid(sheet = "Stellung_Beruf_1991")
data_06 <- prep_data_pyramid(sheet = "Stellung_Beruf_2006")
data_21 <- prep_data_pyramid(sheet = "Stellung_Beruf_2021")
## Farben ----------------------------------------------------------------------
colors <- c("#B5AA99", "#72162d", "#d85c32", "#385358", "#39757d", "#189cb2", "#57c4d6")
## Einzelpyramiden -------------------------------------------------------------
p_list <- draw_set_pyramids(colors = colors)
## Pyramiden-Panel -------------------------------------------------------------
draw_all_pyramids(plots = p_list, name = "06_stellungberuf")
```
## 7. Einkommen
```{r 07-einkommen, eval=FALSE}
## Daten -----------------------------------------------------------------------
data_91 <- prep_data_pyramid(sheet = "Einkommen_1991")
data_06 <- prep_data_pyramid(sheet = "Einkommen_2006")
data_21 <- prep_data_pyramid(sheet = "Einkommen_2021")
## Farben ----------------------------------------------------------------------
colors <- c("#5a876b", "#e8c884", "grey45")
## Einzelpyramiden -------------------------------------------------------------
p_list <- draw_set_pyramids(colors = colors)
## Pyramiden-Panel -------------------------------------------------------------
draw_all_pyramids(plots = p_list, name = "07_einkommen")
```
## 8. Rente
```{r 08-rente, eval=FALSE}
## Daten -----------------------------------------------------------------------
data_91 <- prep_data_pyramid(sheet = "Rente_1991")
data_06 <- prep_data_pyramid(sheet = "Rente_2006")
data_21 <- prep_data_pyramid(sheet = "Rente_2019")
## Farben ----------------------------------------------------------------------
colors <- c("#416ab2", "#c2c83e") # drv_pale
## Einzelpyramiden -------------------------------------------------------------
p_list <- draw_set_pyramids(colors = colors, title_3 = "2019")
## Pyramiden-Panel -------------------------------------------------------------
draw_all_pyramids(plots = p_list, name = "08_rente")
```
## 9. Migration
```{r 09-migration, eval=FALSE}
## Daten -----------------------------------------------------------------------
data_91 <- prep_data_pyramid(sheet = "Gesamt_1991") # missing
data_05 <- prep_data_pyramid(sheet = "Migrationshintergrund_2005")
data_21 <- prep_data_pyramid(sheet = "Migrationshintergrund_2021")
## Farben ----------------------------------------------------------------------
colors <- desaturate(darken(scico(palette = "imola", n = 3), .1), .25)
## Einzelpyramiden -------------------------------------------------------------
p_list <- draw_set_pyramids_2(colors = colors)
p91_grey <-
draw_pyramid(data_91, colors = c("grey87")) +
theme(legend.position = "none")
p_list_grey <- list(p91_grey, p_list[[1]], p_list[[2]])
## Pyramiden-Panel -------------------------------------------------------------
draw_all_pyramids(plots = p_list_grey, name = "09_migration")
```
## 10. Lebensform
```{r 10-lebensform, eval=FALSE}
## Daten -----------------------------------------------------------------------
data_91 <- prep_data_pyramid(sheet = "Lebensform_1996")
data_06 <- prep_data_pyramid(sheet = "Lebensform_2006")
data_21 <- prep_data_pyramid(sheet = "Lebensform_2021")
## Farben ----------------------------------------------------------------------
colors <- c("#BE6585", "#D39EAE", "#7EDAC9", "#2E8C8E", "#F4C4B7")
## Einzelpyramiden -------------------------------------------------------------
p_list <- draw_set_pyramids(colors = colors, title_1 = "1996")
## Pyramiden-Panel -------------------------------------------------------------
draw_all_pyramids(plots = p_list, name = "10_lebensform")
```
## 11. Haushaltsgröße
```{r 11-haushaltsgroesse, eval=FALSE}
## Daten -----------------------------------------------------------------------
data_91 <- prep_data_pyramid(sheet = "Haushaltsgroesse_1991")
data_06 <- prep_data_pyramid(sheet = "Haushaltsgroesse_2006")
data_21 <- prep_data_pyramid(sheet = "Haushaltsgroesse_2021")
## Farben ----------------------------------------------------------------------
colors <- scico(palette = "davos", n = 5, end = .85, begin = .05)
## Einzelpyramiden -------------------------------------------------------------
p_list <- draw_set_pyramids(colors = colors)
## Pyramiden-Panel -------------------------------------------------------------
draw_all_pyramids(plots = p_list, name = "11_haushaltsgroesse")
```
## 12. Größe der Wohnsitzgemeinde
```{r 12-gemeindegroesse, eval=FALSE}
## Daten -----------------------------------------------------------------------
data_91 <- prep_data_pyramid(sheet = "GGRK_1991")
data_06 <- prep_data_pyramid(sheet = "GGRK_2006")
data_21 <- prep_data_pyramid(sheet = "GGRK_2021")
## Farben ----------------------------------------------------------------------
colors <- rev(desaturate(lighten(brewer.pal(name = "BrBG", n = 4), .1), .25))
## Einzelpyramiden -------------------------------------------------------------
p_list <- draw_set_pyramids(colors = colors)
## Pyramiden-Panel -------------------------------------------------------------
draw_all_pyramids(plots = p_list, name = "12_gemeindegroesse")
```
## 13. Umzug
```{r 13-umzug, eval=FALSE}
## Daten -----------------------------------------------------------------------
data_91 <- prep_data_pyramid(sheet = "Umzug_1991")
data_06 <- prep_data_pyramid(sheet = "Umzug_2006")
data_21 <- prep_data_pyramid(sheet = "Umzug_2019")
## Farben ----------------------------------------------------------------------
colors <- c("#CB2A76", "#cacaa5", "grey45")
## Einzelpyramiden -------------------------------------------------------------
p_list <- draw_set_pyramids(colors = colors, title_3 = "2019")
## Pyramiden-Panel -------------------------------------------------------------
draw_all_pyramids(plots = p_list, name = "13_umzug")
```
<details><summary>Session Info</summary>
```{r sessionInfo, echo=FALSE}
Sys.time()
git2r::repository()
sessionInfo()
```
</details>