## ----setup, include = FALSE----------------------------------------------
library(magrittr)
library(ggplot2)
library(dplyr)
library(igraph)
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
## ------------------------------------------------------------------------
library(graydon.package)
## ------------------------------------------------------------------------
data.frame(`Column names` = names(tbl_SBI_count)) %>%
knitr::kable()
## ---- message=FALSE, warning=FALSE---------------------------------------
graph_SBI <- create_economic_activity_graph(tbl_SBI_count,
col_id = "code_SBI",
col_id_parent = "code_SBI_parent")
## ---- fig.height=6, fig.width=6------------------------------------------
plot_graydon_graph(graph_SBI,
vertex.label = "",
vertex.size = 3,
edge.arrow.size = 0)
## ---- message=FALSE, warning=FALSE---------------------------------------
graph_SBI_rolled <- roll_up_hierarchy_by_minimum(graph_tree = graph_SBI,
name_attribute = "qty_companies",
name_propagated = "qty_companies_cum",
threshold = 5000)
## ---- fig.height=6, fig.width=6, warning=FALSE---------------------------
V(graph_SBI_rolled)$color <- ifelse(V(graph_SBI_rolled)$is_root, 1, 2)
V(graph_SBI_rolled)$label <- ifelse(V(graph_SBI_rolled)$is_root, V(graph_SBI_rolled)$name, "")
plot_graydon_graph(graph_SBI_rolled,
vertex.size = 3,
edge.arrow.size = 0)
## ---- fig.height=6, fig.width=6------------------------------------------
V(graph_SBI_rolled)$label <- format_number(V(graph_SBI_rolled)$qty_companies_cum)
V(graph_SBI_rolled)$label <- ifelse(V(graph_SBI_rolled)$label == 0, "", V(graph_SBI_rolled)$label)
plot_graydon_graph(graph_SBI_rolled,
vertex.size = 3,
edge.arrow.size = 0)
## ------------------------------------------------------------------------
list_graphs <- decompose(graph_SBI_rolled)
# Getting all ending activity codes
idx_searched <- names(sapply(list_graphs, function(x) igraph::V(x)[1] ))
plot_graydon_graph(list_graphs[[1]])
## ------------------------------------------------------------------------
df_translation_codes <- rolled_up_as_data_frame(graph_SBI_rolled)
## ---- echo=FALSE---------------------------------------------------------
df_translation_codes %>%
head() %>%
knitr::kable()
## ------------------------------------------------------------------------
tbl_NACE_recoded <- hierarchy_get_higher_level(tbl_NACE, level_no = 2,
col_code= "code_NACE", col_code_parent = "code_NACE_parent",
col_layer_no = "hierarchy_layer")
tbl_NACE_recoded %>%
head(10) %>%
knitr::kable()
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