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| #!/usr/bin/env Rscript | |
| ##keynote.R v1.0 Damon Kiesow @dkiesow | |
| ##Use with the Keynote rTweet AppleScript app to automate threaded tweeting during Keynote presentations | |
| ## | |
| ## load rtweet package | |
| library(rtweet) | |
| me <- rtweet:::home_user() | |
| ## Pull parameters from command line (first_status will be "yes" or "no" and provided from the AppleScript) | |
| args <- commandArgs(trailingOnly = TRUE) |
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| library(rJava) | |
| library(coreNLP) | |
| initCoreNLP() | |
| #in this case, 'test' is a data frame with a col named 'text' | |
| for (i in 1:dim(test)[1]) { | |
| cat(paste0(i / dim(test)[1] * 100, '% completed')) | |
| ann <- annotateString(paste(test$text[i]), format = c("obj"), outputFile = NA, includeXSL = FALSE) | |
| gd <- getDependency(ann) |
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| import random | |
| def non_random_choice(list): | |
| return random.choice(list) | |
| def programar(algo): | |
| tecnicas = ['algoritmos', 'IA', 'um chatbot', 'um framework', ' alguma tecnologia'] | |
| print(f'* TODO * Resolver {algo} com {non_random_choice(tecnicas)}') | |
| def usar_ferramenta_para_resolver(algo): |
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| library(tidyverse) | |
| # Distribuição de contribuintes previdenciários | |
| # ref http://dados.gov.br/dataset/estatisticas-contrib-pessoas-fisicas-por-uf/resource/6b498c82-dbd9-42b4-8a7e-d04967c6cff1 | |
| # manual das colunas http://www.previdencia.gov.br/dados-abertos/aeps-2007-anuario-estatistico-da-previdencia-social-2007/anuario-estatistico-da-previdencia-social-2007-contribuintes-da-previdencia-social/ | |
| d <- read.csv("CTB21.csv", header = T, fileEncoding = "ISO-8859-1", dec = ",") | |
| ufs_abrev <- c("Acre", "Alagoas", "Amazonas", "Amapá", "Bahia", "Ceará", "Distrito Federal", "Espírito Santo", "Goiás", "Maranhão", "Mato Grosso", "Mato Grosso do Sul", "Minas Gerais", "Pará", "Paraíba", "Paraná", "Pernambuco", "Piauí", "Rio de Janeiro", "Rio Grande do Norte", "Rondônia", "Rio Grande do Sul", "Roraima", "Santa Catarina", "Sergipe", "São Paulo", "Tocantins") | |
| ufs_siglas <- c("AC", "AL", "AM", "AP", "BA", "CE", "DF", "ES", "GO", "MA", "MT", "MS", "MG", "PA", "PB", "PR", "PE", "PI", "RJ", "RN", "RO", "RS", "RR", "SC", "SE", "S |
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| #' Conditionally apply expressions on a data object | |
| #' | |
| #' @param .data Input data | |
| #' @param condition A logical value to determine whether to use .if or .else | |
| #' @param .if Formula or function to apply to intput data when condition is TRUE | |
| #' @param .else Formula or function to apply to intput data when condition is FALSE | |
| #' @return Output of appropriate .if/.else call | |
| #' @export | |
| #' @importFrom rlang as_closure | |
| do_if_else <- function(.data, condition, .if, .else = identity) { |
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| library(tidyverse) | |
| library(sf) | |
| library(lubridate) | |
| chicago_neighborhoods <- read_sf("chi_community_shapefiles") %>% | |
| mutate(community_area = as.integer(area_numbe)) | |
| chicago_potholes <- read_csv("chicago_potholes.csv") %>% | |
| janitor::clean_names() %>% | |
| mutate_at(vars(creation_date, completion_date), mdy) %>% | |
| mutate(time_to_fill = difftime(completion_date, creation_date)) |
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| import mysql.connector | |
| from mysql.connector import Error | |
| import tweepy | |
| import json | |
| from dateutil import parser | |
| import time | |
| import os | |
| import subprocess | |
| #importing file which sets env variable |
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| library(tidyverse) | |
| regs_tossups <- read_tsv("tossups.tsv") | |
| regs_games_played <- regs_tossups %>% | |
| filter(!is.na(team), packet != "S", !is.na(buzz_location_pct)) %>% | |
| distinct(team, packet) %>% | |
| count(team) | |
| # Change based on set categories |
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| updatemenus=list([ | |
| # drop-down 1: map styles menu | |
| # buttons containes as many dictionaries as many alternative map styles I want to offer | |
| dict( | |
| buttons=list([ | |
| dict( | |
| args=['mapbox.style', 'dark'], | |
| label='Dark', | |
| method='relayout' | |
| ), |
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| layout = dict( | |
| height = 800, | |
| # top, bottom, left and right margins | |
| margin = dict(t = 0, b = 0, l = 0, r = 0), | |
| font = dict(color = '#FFFFFF', size = 11), | |
| paper_bgcolor = '#000000', | |
| mapbox = dict( | |
| # here you need the token from Mapbox | |
| accesstoken = mapbox_access_token, | |
| bearing = 0, |