knitr::opts_chunk$set(echo=FALSE) library(lubridate) library(tidyverse) library(here) library(readxl) library(bindrcpp) source(here::here("R","data_predvyzkum.R"), encoding = "UTF-8") source(here::here("R","data_registrace_jednotlivci.R"), encoding = "UTF-8")
data_strediska <- jednotky_oddily_kmeny_predvyzkum() %>% filter(typ_jednotky == "stredisko")
data_strediska %>% ggplot(aes(x = clenove_celkem)) + geom_histogram(binwidth = 20)
pocty <- data_strediska$clenove_celkem quantile(pocty, c(0.25,0.5,0.75)) quantile(pocty, c(0.2,0.4,0.6,0.8)) mean(pocty < 50)
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