launch_app: Shiny app for exploring census and electorate data

In eechidna: Exploring Election and Census Highly Informative Data Nationally for Australia

Description

Shiny app for exploring census and electorate data

Usage

launch_app(
  election_year = 2016,
  age = c("Age00_04", "Age05_14", "Age15_19", "Age20_24", "Age25_34", "Age35_44",
    "Age45_54", "Age55_64", "Age65_74", "Age75_84", "Age85plus"),
  religion = c("Christianity", "Catholic", "Buddhism", "Islam", "Judaism",
    "NoReligion"),
  other = c("AusCitizen", "MedianPersonalIncome", "Unemployed", "BachelorAbv",
    "Indigenous", "EnglishOnly", "OtherLanguageHome", "Married", "DeFacto",
    "FamilyRatio", "Owned"),
  palette = c("#1B9E77", "#F0027F", "#E6AB02", "#66A61E", "#7570B3", "#D95F02",
    "#3690C0")
)

Arguments

election_year	Year of Federal election to be explored (2001, 2004, 2007, 2010, 2013 or 2016)
age	Age variables to show. Variable(s) should match column names from abs2016. By default, all variables are shown.
religion	Religion variables to show. Variable(s) should match column names from abs2016. By default, all variables are shown.
other	Other census variables to show. Variable(s) should match column names from abs2016. By default, all variables are shown.
palette	a named character vector of selection colors. The vector names are used as the display in the drop-down control.

Author(s)

Carson Sievert

Examples

## Not run: 
library(shiny)
library(plotly)
library(tidyverse)
# for comparing labor/liberal
launch_app(
  election_year = 2016,
  age = c("Age20_24", "Age25_34", "Age55_64"),
  religion = c("Christianity", "Catholic", "NoReligion"),
  other = c("AusCitizen", "MedianPersonalIncome", "Unemployed")
)

# for inspecting highly contested areas
launch_app(
  election_year = 2016,
  age = c("Age25_34", "Age35_44", "Age55_64"),
  religion = c("Christianity", "Catholic", "NoReligion"),
  other = c("Owned", "Indigenous", "AusCitizen")
)

launch_app()


## End(Not run)

eechidna documentation built on Feb. 25, 2021, 5:08 p.m.