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# https://projects.fivethirtyeight.com/2024-election-forecast/ | |
# https://projects.fivethirtyeight.com/2020-election-forecast/ | |
# https://projects.fivethirtyeight.com/2016-election-forecast/ | |
# install.packages("remotes") | |
remotes::install_github("EDJNet/riskviewer") | |
## N.B. the visualisation barely holds together, breaks down when changing aspect ratio | |
library("riskviewer") |
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# https://discuss-data.net/dataset/dae0b5b8-157f-471a-bb3c-ea24e0b2a7f7/ | |
# remotes::install_github("giocomai/castarter") | |
library("castarter") | |
corpus_name <- "zavtra.ru_ru_2024" | |
corpus_file <- paste0(corpus_name, ".csv.gz", collapse = "") | |
## Step 1: Download the corpus #### | |
# download `zavtra.ru_ru_2024.csv.gz` from the main repository, |
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# https://en.wikipedia.org/wiki/List_of_Academy_Award-winning_films | |
library("dplyr", warn.conflicts = FALSE) | |
library("tidywikidatar") | |
library("ggplot2") | |
# https://github.com/ivelasq/severance | |
library(severance) | |
tw_set_language(language = "en") |
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library("dplyr", warn.conflicts = FALSE) # data wrangling | |
library("tidywikidatar") | |
tw_enable_cache() | |
tw_set_cache_folder(path = fs::path(fs::path_home_r(), | |
"R", | |
"tw_data")) | |
tw_create_cache_folder(ask = FALSE) |
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#remotes::install_github("giocomai/latlon2map") | |
library("latlon2map") | |
ll_set_folder(path = "~/R") | |
library("ggplot2") | |
library("dplyr") | |
library("sf") | |
# recupera griglia di esempio come oggetto sf | |
if (file.exists("base_grid.rds")==FALSE) { |
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libreoffice: | |
image: libreoffice/online:master | |
environment: | |
- "domain=nextcloud\\.example\\.com" | |
- "SLEEPFORDEBUGGER=0" | |
- "username=user" | |
- "password=actualgoodpassword" | |
- "extra_params=--o:ssl.enable=false --o:ssl.termination=true" | |
networks: | |
network1: |
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--- | |
title: "Sibiu 1934 historic map" | |
output: html_document | |
--- | |
```{r setup, include=FALSE} | |
knitr::opts_chunk$set(echo = TRUE) | |
library("tidyverse") | |
library("leaflet") | |
library("leaflet.opacity") |
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```{r eval = FALSE} | |
partito_facet_tm <- carto_partiti_combo %>% | |
tm_shape() + | |
tm_polygons(col = "perc", | |
palette = "YlGnBu") + |
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if (!require("pacman")) install.packages("pacman") | |
pacman::p_load("tidyverse") | |
pacman::p_load("gganimate") | |
pacman::p_load("gifski") | |
nit <- tibble::tribble( | |
~Country, ~`2001`, ~`2002`, ~`2003`, ~`2004`, ~`2005`, ~`2006`, ~`2007`, ~`2008`, ~`2009`, ~`2010`, ~`2011`, ~`2012`, ~`2013`, ~`2014`, ~`2015`, ~`2016`, ~`2017`, ~`2018`, | |
"Albania", 4.42, 4.25, 4.17, 4.13, 4.04, 3.79, 3.82, 3.82, 3.82, 3.93, 4.04, 4.14, 4.25, 4.18, 4.14, 4.14, 4.14, 4.11, | |
"Bosnia Herzegovina", 5.17, 4.83, 4.54, 4.29, 4.18, 4.07, 4.04, 4.11, 4.18, 4.25, 4.32, 4.36, 4.39, 4.43, 4.46, 4.5, 4.54, 4.64, | |
"Bulgaria", 3.42, 3.33, 3.38, 3.25, 3.18, 2.93, 2.89, 2.86, 3.04, 3.04, 3.07, 3.14, 3.18, 3.25, 3.29, 3.25, 3.36, 3.39, |
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library("tabulizer") | |
library("tidyverse") | |
dir.create("data", showWarnings = FALSE) | |
dir.create(file.path("data", "original_files"), showWarnings = FALSE) | |
census_2011_pdf_url <- "https://www.armstat.am/file/article/1._bajin_1_182-311.pdf" | |
census_2011_pdf_file <- file.path("data", "original_files", "census_2011.pdf") | |
if (file.exists(census_2011_pdf_file)==FALSE) { |
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