An API to serve open data aggregated by administrative boundaries
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Updated
Jul 6, 2022 - JavaScript
An API to serve open data aggregated by administrative boundaries
Create Contact Matrices from Population Data
Wittgenstein Centre Data Explorer
This project is about energy efficiency and renewable energy topic. Developed multivariate time series model to forecast global warming. Analyzed various causes of global warming including energy consumption, emissions; examined correlation and causality of temperature, CO2 concentration, population time series. Discovered the logical connection…
Package to download data from the Wittgenstein Centre Human Capital Data Explorer into R
Download, crop, plot and analyze high-resolution population estimates from the Socioeconomic Data and Applications Center
A NestJS-powered REST API that continuously fetches and serves real-time global statistics from Worldometer. Provides structured endpoints for population, health, environment, energy, food, water, government, and social media data with automatic updates every 5 seconds.
This website is built with a mind to encourage better exploration and analysis of US Gun Violence data through better UI and interactivity.
Interactive Excel dashboard visualizing India's 2011 Census Population Demographics using charts, pivot tables, and slicers.
Python web scraper that extracts real-time population statistics for all countries from Worldometers, providing detailed demographic data in CSV format.
Where do people actually live inside a German postal code? Umriss pairs OSM PLZ boundaries with address-derived, population-weighted centroids from WZB and serves it all as an explorable map plus ready-to-use GeoJSON files.
An interactive Dash app with a map, population chart, wiki panel, themes and multiple layouts.
Populations of 175 countries requiring different faecal sludge emptying services.
A comprehensive Excel dashboard analyzing population trends, density, and distribution across Bangladesh.
Population-weighted annual heating and cooling degree months
Web Scraping and EDA in Python 3 using Requests, BeautifulSoup, Pandas, Matplotlib, Seaborn
Interpolating population from historical censuses
UC Berkeley COLWRIT R4B Fall 2019
ELT pipeline transforming raw CSV data into a structured MySQL dataset for potential analysis and visualization
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