Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Markwhen | 2,269 | a month ago | 49 | mit | HTML | |||||
Make a cascading timeline from markdown-like text. Supports simple American/European date styles, ISO8601, images, links, locations, and more. | ||||||||||
Calendar Heatmap | 145 | 1 | 5 years ago | 13 | August 06, 2018 | mit | JavaScript | |||
📊 Calendar heatmap graph | ||||||||||
Reactjs Calendar Heatmap | 126 | 5 | 8 months ago | 20 | July 20, 2022 | 6 | mit | JavaScript | ||
React component for d3.js calendar heatmap graph | ||||||||||
Strava_calendar | 73 | 3 months ago | 1 | mit | Python | |||||
Visualizations from Strava data in matplotlib | ||||||||||
Angular Calendar Heatmap | 59 | 5 years ago | 10 | December 13, 2017 | mit | JavaScript | ||||
📊 Angular directive for d3.js calendar heatmap graph | ||||||||||
Kibana_calendar_vis | 34 | 3 years ago | 6 | apache-2.0 | JavaScript | |||||
Calendar heatmap visualization Kibana plugin | ||||||||||
Angular2 Calendar Heatmap | 32 | 2 | 2 years ago | 22 | May 11, 2021 | 5 | mit | TypeScript | ||
📊 Angular component for d3.js calendar heatmap graph | ||||||||||
Genealogic D3 | 25 | a year ago | 2 | other | JavaScript | |||||
KISS genealogy tree visualization using d3.js + birthday calendar | ||||||||||
6th | 21 | 4 years ago | Python | |||||||
http://d2campusfest.kr/6th/ | ||||||||||
Echarter | 18 | 2 years ago | R | |||||||
R Interface to Echarts |
The dataset, provided by the City and County of Denver, records crimes from the previous five calendar years and until the current calendar date. The data was obtained on December 1, 2016 making the dataset cover five years and 11 months time. It is updated five days a week (Monday to Friday), which provides a bit of a hurdle in terms of this project being up to date, although for the purposes of this project there really isn’t a huge difference between data from one week ago compared to data today; most of the queries and visual representations should stay fairly accurate, at least proportionally.
The application, written in Python and utilizing Tkinter and Matplotlib, displays a variety of graphs based on SQL queries of the data; the graphs range from entry-dependent to pre-made for especially interesting queries
All Python dependencies can be installed with pip:
pip install matplotlib pg8000 tkinter
python3 crimeVisualization.py
Nhan Tran, Reece Hughes, Nicholas Miller
The data is distributed under an Open Data License allowing free copying, distribution, transmission, etc. of the data.