fanghuiz

fanghuiz / soc

Created November 5, 2019 18:08 — forked from nkthiebaut/soc

Codes to names mapping for the O*NET-SOC job titles classification (https://www.onetcenter.org/taxonomy.html)

	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",

fanghuiz / map_active_fire.R

Created September 23, 2019 22:43

Animated map showing daily active fires in Indonesia this September

	# 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"

fanghuiz / movie_color_bar.py

Last active October 6, 2024 16:30

Script to generate a color timeline based on video input (movie etc.) Modified from https://github.com/lint/avg-color-bar

	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

fanghuiz / heatmap_daily_temp_england.R

Created September 4, 2019 02:08

Create heatmap to visualize the daily temperature in England over 100 years

	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