monkeycycle

# List of packages for session
package_list = c('devtools',
              'here',
              'tidyverse',
              'janitor',
              'magrittr',
              'parsedate')

# Install CRAN packages (if not already installed)

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node -v > .nvmrc

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# This loop generates a dataframe and plot for each offence
for(offence in cc_code_offences.l){

  offence_slug <- slugify::slugify(offence, alphanum_replace = "", space_replace = "_", tolower = TRUE)
  offence_slug <- gsub("__", "_", offence_slug, fixed=TRUE)
  df_name <- paste(offence_slug, ".df", sep = "")
  plot_name <- paste("p_", offence_slug, sep = "")

  tmp.df <- filter_cc_offence(df=ywg_monthly_crime_data_2008_2019,

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license: gpl-3.0
height: 1100
border: no

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# OSX Finder junk
.DS_Store

# environment variables incl. credentials
.env

# python virtual environments
.venv
venv

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eth302_takeoff$time <- as.POSIXct(eth302_takeoff$time, format = "%Y-%m-%d %H:%M:%S", tz="GMT")
eth302_takeoff$time_EAT = with_tz(eth302_takeoff$time, tzone = "Africa/Addis_Ababa")

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# History files
.Rhistory
.Rapp.history

# Session Data files
.RData

# Example code in package build process
*-Ex.R

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##################################################
# Get sunrise, sunset and dusk times for a location
##################################################
days <- seq(from = as.POSIXct("2017-01-01"), to = as.POSIXct("2017-12-31"), by = "days")

# coordinates for Toronto
lat <- 43.6532
lon <- -79.3832
coord <- matrix(c(lon, lat), nrow = 1)

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import requests
from bs4 import BeautifulSoup
import csv
from datetime import datetime

file_out = 'sunrise_sunset_toronto.csv'
base_url = 'https://www.timeanddate.com/sun/canada/toronto?month=5&year=2018'
base_city = 'toronto'
base_year = '2017'
root_el_id = 'as-monthsun'

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# Load required packages
load_requirements <- function(pkg){
    new.pkg <- pkg[!(pkg %in% installed.packages()[, "Package"])]
    if (length(new.pkg))
        install.packages(new.pkg, dependencies = TRUE)
    sapply(pkg, require, character.only = TRUE)
}