Skip to main content
100%

CartoDB Internships

✓ Published0🌍 Public
Aandrewxhill
Last edited Jun 24, 2014
Created on Jun 24, 2014

This interactive visualization maps the locations of CartoDB’s internship opportunities in New York City, highlighting the office’s position in Manhattan and the flexible, remote-friendly nature of the positions. The map uses CartoDB’s tile-based rendering with Leaflet for panning and zooming, and overlays a Google Maps base layer to provide street context. A marker placed at the office coordinates (40.7204, -73.9982) serves as the focal point, with popup text summarizing the internship details, including start dates, pay, and application contact. The visualization relies on CartoDB’s SQL API to fetch and display the geocoded location data.

AI-generated description

Similar vizzes

Loading thumbnail…

Gist 4354110

This visualization displays a map rendered with CartoDB, showing geographic data from a hosted visualization. The page loads a full-screen map using the CartoDB.js library, which initializes the map via `cartodb.createVis` and connects to a remote visualization URL. The map itself is embedded in a fixed-size `<div>` element and relies on CartoDB’s built-in rendering and tile services to draw the geographic layers. The code does not include custom data processing or interaction logic; it simply leverages the CartoDB API to present the pre-configured map.

Aandrewxhill
68% match
Loading thumbnail…

CartoDB Point Clustering

This example displays point clustering on an interactive map centered on New Orleans, using CartoDB and Leaflet. It shows a sublayer of Twain dataset points filtered by city name, rendered as large blue markers. Clicking a marker queries overlapping points via CartoDB’s SQL API, revealing their count and source values in a side panel. The map uses Stamen toner tiles, while hover interactions change the cursor through CartoDB’s `featureOver` and `featureOut` events.

Aandrewxhill
67% match
Loading thumbnail…

Gist 3163949

This visualization maps development projects and their work areas as geographic points, connected by curved links to the responsible agencies. It displays project details, budgets, and topic classifications, with agency positions marked as separate nodes. The map uses CartoDB’s SQL API to query project, solution, agency, and topic tables, then renders GeoJSON geometries through D3’s `d3.geoPath`. Node positions are computed via `d3.forceSimulation`, while centroids for work-area polygons are calculated with PostGIS functions (`ST_Centroid`, `ST_X`, `ST_Y`).

Aandrewxhill
66% match
Loading thumbnail…

Gist 89811213f98645c51fa8

Using CartoDB’s SQL API and PostGIS functions, this notebook explores Gilt purchase data aggregated by zip code. It shows a series of interactive maps, including a bubble map of average session time and choropleths of purchase rates, built from geocoded postal points and polygon tables. The workflow demonstrates nested SQL subqueries to join transaction aggregates with geometries, spatial filtering with `ST_Intersects` and `ST_Buffer` around New York City, and on-the-fly centroid generation via `st_centroid` for a target audience map. Geocoding and tile rendering rely on CartoDB’s default web-mercator projection.

Aandrewxhill
65% match
Loading thumbnail…

Gist 2e969e0d45ceb3555cc4

This visualization demonstrates unemployment rates across U.S. states and zip codes using interactive maps. It begins with a choropleth map of April unemployment data by state, then shifts to a bubble map of zip-code-level rates, with bubble size reflecting percentage values. The example uses CartoDB’s georeferencing, SQL updates to clean and convert data, and dynamic SQL queries to reorder or filter results, such as sorting by rate or selecting points within a distance of Washington, D.C. It also incorporates CartoDB.js for interactivity, including a street-view preview on hover.

Aandrewxhill
65% match
Loading thumbnail…

NACIS Workshop | CartoDB

A step-by-step workshop guide demonstrates CartoDB's mapping and data-analysis capabilities through a sequence of exercises. The HTML page embeds a Speaker Deck presentation and lists tasks covering data import, visualization styling with CartoCSS, SQL filtering, and spatial queries. It references downloadable shapefiles, including tornado paths, NYC bike blocks, and tracked location data, with example SQL statements for distance calculations. The code loads CartoDB.js v3 and its CSS to support interactive map rendering throughout the tutorial.

Aandrewxhill
65% match
Loading thumbnail…

CartoDB + D3 Bubble Map

A bubble map renders world borders and populated places on a blue SVG canvas, with city markers animating from random positions to their geographic coordinates. The visualization combines CartoDB’s SQL API (fetching GeoJSON from `d3_world_borders` and `d3_populated_places`) with D3’s `d3.geo.mercator` projection and `d3.geo.path` for borders. City circles scale by population, and clicking a marker displays its name via SVG text. A `d3.behavior.zoom` handler enables panning and zooming through SVG transforms.

Aandrewxhill
64% match
Loading thumbnail…

CartoDB + Time

The visualization maps the locations of U.S. post offices over time, animating their cumulative appearance based on the year each was built. It uses CartoDB’s Torque layer to render 128 animation frames across a 16-second loop, aggregating point counts by grid cell. The map is built with Leaflet, using Stamen’s toner tiles for the base layer. The Torque style specifies a time attribute, cumulative aggregation, and blue rectangle markers, with a color blend mode to show density. The code loads data from the `us_po_offices` table hosted by CartoDB’s `viz2` account.

Aandrewxhill
64% match