Popular U.S. Names of the Last Century (1910-2016)
This D3.js based map shows occurrences by state over time for a particular name. User interfaces allow for name lookup and a slider shows how the name evolves over time. Based on the top 1000 names for each year.
- Data Source: U.S. Social Security Administration
- Platforms: D3.js, SQL/PostGIS, Python, SVG, Topojson, Node.js
- Over 33,000 unique and dynamic names/maps possible
- See the github repo for full details
Top Boy/Girl names of the Last Century (1910-2016)
This D3.js based map shows a different perspective on the names data. The map shows top Boy/Girl name occurrences for each year by state. A Python script processed the raw data from the Social Security Administration.
- Data Source: U.S. Social Security Administration
- Platforms: D3.js, Python, SVG, Topojson
- See the github repo for details
U.S. Federal Lands (GeoDev Web Stack)
This project involved building a full web stack from database to front end. Static geojson, PostGIS, and MongoDB queries are compared to deliver large geospatial datasets.
- Data Source(s): Data.gov
- Platforms: PostgreSQL, PostGIS, MongoDB, REST API, Node.js, Express.js, Knex.js, Mongoose.js, Joi.js, Bootstrap, Vue.js
- See the github repo for full details
U.S. 2017 Weekly Drought Conditions
This D3.js based map shows drought conditions in the U.S. by week during 2017. The speed of D3.js can seen by cycling through the geospatial data for each week.
- Data Source: U.S. Drought Monitor
- Platforms: D3.js, SQL/PostGIS, Python
- See the github repo for details