robsalasco

library(jsonlite)
library(purrr)
library(stringr)
library(tibble)
library(tidyr)
library(janitor)
library(glue)

extract_results <- function(distrito) {
  g <- read_json(glue("https://www.servelelecciones.cl/data/elecciones_convencionales_g/computo/distritos/60{distrito}.json"),

robsalasco

library(ggforce)
#> Loading required package: ggplot2

circulo <- data.frame(
  x = 0,
  y = 0,
  r = 1
)

robsalasco

library(sf)
#> Linking to GEOS 3.8.1, GDAL 3.1.1, PROJ 7.1.0
library(tmap)
library(purrr)
library(jsonlite)
#> 
#> Attaching package: 'jsonlite'
#> The following object is masked from 'package:purrr':
#> 

robsalasco

robsalasco

from requests import get
from lxml import html, etree
import camelot
import pandas as pd
import numpy as np

url = 'https://www.minsal.cl/nuevo-coronavirus-2019-ncov/casos-confirmados-en-chile-covid-19/'
response = get(url)

robsalasco

from requests import get
from lxml import html, etree
import camelot
import pandas as pd
import numpy as np

url = 'https://www.minsal.cl/nuevo-coronavirus-2019-ncov/casos-confirmados-en-chile-covid-19/'
response = get(url)

robsalasco

from requests import get
from lxml import html, etree
import camelot
import pandas as pd
import numpy as np

url = 'https://www.minsal.cl/nuevo-coronavirus-2019-ncov/casos-confirmados-en-chile-covid-19/'
response = get(url)

robsalasco

from requests import get
from lxml import html, etree
import camelot
import pandas as pd
import numpy as np

url = 'https://www.minsal.cl/nuevo-coronavirus-2019-ncov/casos-confirmados-en-chile-covid-19/'
response = get(url)

robsalasco

robsalasco