install.packages("tidyverse")
## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.3'
## (as 'lib' is unspecified)
library(tidyverse)
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr 1.1.2 ✔ readr 2.1.4
## ✔ forcats 1.0.0 ✔ stringr 1.5.0
## ✔ ggplot2 3.4.2 ✔ tibble 3.2.1
## ✔ lubridate 1.9.2 ✔ tidyr 1.3.0
## ✔ purrr 1.0.1
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
Zbiór publiczny - rejestr zgonów, na podstawie danych z Urzędów Stanu Cywilnego, w okresie 2015 - 06.2023
zgony <- read.csv("/cloud/project/Liczba_zgonów_w_Rejestrze_Stanu_Cywilnego_w_latach_2015-2023_-_dane_tygodniowe_ogółem.csv", stringsAsFactors=TRUE)
zgony_ren<-zgony %>% rename(Tydzien=Nr.tygodnia)
zgony_piv <- zgony_ren %>% pivot_longer(cols=!Tydzien, names_to = "Rok", values_to="count", values_drop_na = TRUE)
print(zgony_piv, n=20)
## # A tibble: 407 × 3
## Tydzien Rok count
## <int> <chr> <int>
## 1 1 X2016 8246
## 2 1 X2017 9321
## 3 1 X2018 8406
## 4 1 X2019 8706
## 5 1 X2020 8473
## 6 1 X2021 11496
## 7 1 X2022 12036
## 8 1 X2023 10442
## 9 2 X2016 7942
## 10 2 X2017 10270
## 11 2 X2018 8107
## 12 2 X2019 8613
## 13 2 X2020 8275
## 14 2 X2021 10996
## 15 2 X2022 10808
## 16 2 X2023 9560
## 17 3 X2016 7702
## 18 3 X2017 9902
## 19 3 X2018 8663
## 20 3 X2019 8740
## # ℹ 387 more rows
zgony_piv_sum_tyg <- zgony_piv %>% group_by(Tydzien) %>% summarize(sum(count))
zgony_piv_sum_31 <- zgony_piv %>% filter(Tydzien >=31, Rok=='X2020') %>% group_by(Tydzien)
## Zestawienie zgodów w latach 2015-06.2023