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- library(readr)
- library(ggplot2)
- library(dplyr)
- library(igraph)
- education_travel <- read_csv("travel-education.csv")
- work_travel <- read_csv("travel-work.csv")
- length(unique(education_travel$SA2_name_usual_residence_address))
- length(unique(education_travel$SA2_name_educational_address))
- length(unique(work_travel$SA2_name_usual_residence_address))
- length(unique(work_travel$SA2_name_workplace_address))
-
- ggplot(work_travel, aes(x = SA2_code_usual_residence_address,
- y = SA2_code_workplace_address,
- fill = Total)) +
- geom_tile()
-
- g2 <- graph( edges=c(4,9, 9,6, 6, 4, 1,2, 5,6, 9,5, 1,4, 1,5, 2,6, 3,3, 6,6), n=10 )
- plot(g2)
-
- tg <- make_empty_graph()
-
- work_travel %>% filter(Total > 100) %>% select(SA2_name_usual_residence_address, SA2_name_workplace_address) %>%
- as.matrix %>% t %>% as.vector -> elist
-
- locgraph <- graph(edges = elist)
-
- # plot(locgraph, label = NA)
-
- sg <- decompose(locgraph, mode="weak")
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