lgelape

### STOPWORDS IN PORTUGUESE

## Create a unique dataset from several datasets with stopwords in Portuguese

# Lucas Gelape

# Packages
library(dplyr)
library(stringi)
library(readr)

bcks

// Works with Node v12.0 and puppeteer 4.0

const URL = 'https://public.tableau.com/views/PPV_15924847800480/ppv_db?%3Aembed=y&%3AshowVizHome=no&%3Adisplay_count=y&%3Adisplay_static_image=n&%3AbootstrapWhenNotified=true&%3Alanguage=en&:embed=y&:showVizHome=n&:apiID=host0';

const puppeteer = require('puppeteer');




function parseDataDictionary(jsonParsed) {

freejoe76

NBC News Data / Graphics team intern

The Data / Graphics team at NBC News is responsible for explaining the news through visualizations and data analysis.

We build interactives, charts, maps, illustrations, graphics and more to tell the news in a compelling and thoughtful way. See our recent work: https://www.nbcnews.com/datagraphics

The intern should be interested in data visualizations and be an avid news reader. They should have an interest in data journalism and will help find stories that we could be telling in a new and visual way. They will also help create charts, maps and graphics for breaking news stories and for reported features.

Note that this internship is only available to students actively enrolled in a degree-granting program throughout the entirety of the internship.

gsalibi

def last_digit_ibge(cod6: str):
   a = int(cod6[0])
   b = (int(cod6[1]) * 2) % 10 + (int(cod6[1]) * 2) // 10
   c = int(cod6[2])
   d = (int(cod6[3]) * 2) % 10 + (int(cod6[3]) * 2) // 10
   e = int(cod6[4])
   f = (int(cod6[5]) * 2) % 10 + (int(cod6[5]) * 2) // 10
   digit = (10 - (a + b + c + d + e + f) % 10) % 10
   return str(digit)

jph00

from fastcore.utils import *

host = 8888,'localhost'
sock = start_server(*host)
print(f'Serving on {host}...')
while True:
    conn,addr = sock.accept()
    with conn:
        data = conn.recv(1024)
        print(data.decode())

bplmp

# baixe os dados
curl http://dadosabertos.ibama.gov.br/dados/SIFISC/auto_infracao/auto_infracao/auto_infracao.html > autos.html

# gere csv
# (primeiro passo é quebrar as linhas, acelera o processamento)
cat autos.html \
  | sed -e 's|<\/tr>|\n|g' \
  | sed -e 's/.*<thead\sbgcolor\=\"\#808080\">//' \
        -e 's|\salign\=\"center\"||g' \
        -e 's|<\/th>|\|\|\||g' \

tanho63

library(tidyverse)

scooby_data <- read.csv("https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2021/2021-07-13/scoobydoo.csv")

x <- 
  scooby_data %>% 
  select(season, title, 
    starts_with("caught"),
    starts_with("captured"),
    starts_with("unmask"),

fernandobarbalho

unidade_gestao<-  255000 #funasa
ano<-2020

#aqui pega todas as combinações de dia e mês. Pode-se alterar a partir da necessidade do usuário
dia_do_mes<- str_pad(as.character("1":"31"), side = "left",width=2,  pad="0")
nome_mes<- str_pad(as.character("1":"12"), side = "left",width=2,  pad="0")

data_com_erro<- tibble(dia=character(),mes=character(),ano=character())

mapa_completo_dados_abertos<-

lgelape

################################################################################
################################################################################
##########
##########  OBTER HANDLE DE REDES SOCIAIS DE CANDIDATOS
##########  A PARTIR DE INFORMACOES DO REPOSITORIO DO TSE

### Lucas Gelape

# Pacotes
library(dplyr)

palewire