Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Practical Python Data Viz Guide | 98 | 4 months ago | mit | Jupyter Notebook | ||||||
Resources for teaching & learning practical data visualization with python. | ||||||||||
July | 92 | 3 | 2 months ago | 8 | December 15, 2021 | 8 | mit | Python | ||
A small library for creating pretty heatmaps of daily data. | ||||||||||
React Heatmap Grid | 60 | a year ago | 26 | May 20, 2019 | 12 | mit | JavaScript | |||
A react component for heatmap visualisation in grid layout | ||||||||||
Strava Tools | 14 | 2 months ago | 1 | Python | ||||||
Command-line scripts to do things with Strava | ||||||||||
Pytorch Convis | 13 | 3 years ago | mit | Python | ||||||
A tool to visualize convolutional layer activations on an input image. | ||||||||||
Unityterrainheatmaps | 6 | 4 years ago | apache-2.0 | C# | ||||||
Unity Plugin to provide custom heatmap data visualisation on terrain objects. | ||||||||||
Us Mass Shootings Analysis | 3 | 4 years ago | 1 | HTML | ||||||
An analysis of US mass shootings data (1982 to 2019) provided by Mother Jones. Analysis done using R in RStudio, results published to HTML using RMarkdown, and styled using CSS. | ||||||||||
Htd3 | 2 | 8 years ago | JavaScript | |||||||
visualisation library for genetic data based on d3.js | ||||||||||
Heatmap App | 2 | 7 years ago | 1 | R | ||||||
A Shiny App for Interactive Gene Expression HeatMap Visualisation | ||||||||||
Visualmidi | 2 | 2 years ago | JavaScript | |||||||
Webapp for midi visualisations using Python and Javascript. Based on MusiStrata |
https://chriscoles01.github.io/SolarState/
This project makes use of DeckGL and Mapbox to visualise the solar potential in Kwh per m^2 in the USA, split into zones of approxiamtly 2000KM^2 in size.
We have combined this with a dataset indicating the amount of suitable rooftop space for solar in m^2 in each zip code to produce an approximation for the Annual Solar potential for each suitable zip code. We used standard calculations taking into account the angle of the roof, and the efficiency of solar panels for our calculations.
Solar Potential: https://catalog.data.gov/dataset/nrel-gis-data-continental-united-states-high-resolution-concentrating-solar-power-2e3ea
Suitable Rooftops by zip code: https://data.world/us-doe-gov/8a2f1ac7-b904-453d-a2ee-78ac261143ca
Zip code to Coordinates : https://public.opendatasoft.com/explore/dataset/us-zip-code-latitude-and-longitude/export/
In the project frontend directory, you can run:
npm start
Runs the app in the development mode.
Open http://localhost:3000 to view it in the browser.
The page will reload if you make edits.
You will also see any lint errors in the console.
Adelaida Creosteanu (adelaidaCreosteanu) - Data/Backend
Christopher Coles (chriscoles01) - Frontend
Maria Aufschlager (MariaAufschlager007) - Data/Backend