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library(tidyverse) | |
library(lubridate) | |
# Dataset URL | |
url_eng_daily_max <- "https://www.metoffice.gov.uk/hadobs/hadcet/cetmaxdly1878on_urbadj4.dat" | |
# Read in data from URL | |
eng_daily_max <- data.table::fread( | |
url_eng_daily_max, | |
# Encode -999 as NA |
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from PIL import Image, ImageEnhance | |
import os | |
import subprocess | |
import sys | |
# Requires ffmpeg https://www.ffmpeg.org/ffmpeg.html | |
# Run script as | |
# python movie_color_bar.py input_video output_frame_folder output_image |
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# Set up | |
library(ggplot2) | |
library(dplyr) | |
library(ggmap) | |
library(maps) | |
library(gganimate) | |
# Request raw data from https://firms.modaps.eosdis.nasa.gov/active_fire/#firms-txt | |
# Data used for this map | |
url <- "https://raw.githubusercontent.com/fanghuiz/random_viz/master/data/fire_IND_201909.csv" |
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SOC_MAJOR_GROUPS = { | |
"11": "Management Occupations", | |
"13": "Business and Financial Operations Occupations", | |
"15": "Computer and Mathematical Occupations", | |
"17": "Architecture and Engineering Occupations", | |
"19": "Life, Physical, and Social Science Occupations", | |
"21": "Community and Social Service Occupations", | |
"23": "Legal Occupations", | |
"25": "Education, Training, and Library Occupations", | |
"27": "Arts, Design, Entertainment, Sports, and Media Occupations", |