kmcd39 Goto Github PK
Type: User
Location: NYC
Type: User
Location: NYC
US Census Bureau Regions and Divisions by State
mostly wrappers for census apis and other people's r/cenus packages (like tidyverse). Quick pulls and recodes
colors and color palettes
Fcns to measure & visualize region dividedness
An R library to support working with origin-destination data as spatial networks.
What the Package Does (Title Case)
Library that bundles measures of physical & administrative dividedness measures of places and code used to generate
Auxilliary functions for working with spatial data and organizing areal levels in a tidy way
Sets up public-use microdata for the 2017 NYC Housing & Vacancy Survey for analysis in R.
Exercises and examples for teaching/learning R
R pacakage to store, reference, and maybe build api wrapper for nyc- (for now) specific data.
Heavily commented code to work as a tutorial for R students interested in learning data visualizations with public data.
Exploratory (for now) projects using mobility data to look at street life
Helper functions that I find myself using consistently, which tend to depend on the R tidyverse libraries
Make hexagonally tiled cartograms
Helper functions for maps and other data visualisations.
Helper functions for calculating geographic correspondence (crosswalks) and a set of bundled xwalks for selected areas.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.