Cube. Time Series Data Collection & Analysis Cube is a system for collecting timestamped events and deriving metrics. By collecting events rather than metrics, Cube lets you compute aggregate statistics post hoc. It also enables richer analysis, such as quantiles and histograms of arbitrary event sets. Cube is built on MongoDB and available under the Apache License on GitHub.
Collecting Data An event in Cube is simply a JSON object with a type, time, and arbitrary data. Cube’s collector receives events and saves them to MongoDB. Querying Events Cube defines a simple language for querying events. You can intersect filters and customize which event fields are returned. Request(browser).gt(duration, 250).lt(duration, 500) Cube supports both HTTP GET and WebSockets for retrieving events. Querying Metrics You can also use Cube to group events by time, map to derived values, and reduce to aggregate metrics. The first few results of which appear as: sum(request.eq(path, "/search")) sum(request(duration)) Bost.ocks.org. Please find my recent work on Observable. Past Work April 28, 2017A Better Way to Code December 9, 2016Command-Line Cartography March 9, 2016What Makes Software Good? December 28, 2015Introducing d3-scale December 3, 2015Introducing d3-shape November 23, 2015Let’s Make a (D3) Plugin December 27, 2014Mapping Every Path to the N.F.L.
December 20, 2014How Each Team Can Make the N.F.L. November 5, 2014The Most Detailed Maps You’ll See From the Midterm Elections November 3, 2014How To Scroll September 19, 2014‘Stop-and-Frisk’ Is All but Gone From New York July 26, 2014Mapping the Spread of Drought Across the U.S. June 26, 2014Visualizing Algorithms June 15, 2014Three Little Circles May 22, 2014Is It Better to Rent or Buy? May 6, 2014Let’s Make a Bubble Map April 22, 2014Who Will Win The Senate? March 7, 2014Let’s Make a Block Feburary 14, 2014Front Row to Fashion Week February 14, 2014Sochi 2014: Interactive Stories January 11, 2014Taking the Battle to the States November 5, 2013Let’s Make a Bar Chart #Examples.
d3.js. Mbostock's Profile - GitHub. Editor. Future Journalism Project — Google Announces New Data Visualization Tools for. Byjess.net. Bestiario. Unicode Character Ranges. Web Design Company Toronto / Canadian Graphic Design Studio / Database Design / Software Development / Intranet / System Integration / Toronto, Canada. Richard.cyganiak.de/2007/10/lod/imagemap.html. Looking 4 data visualization. APIs | NYC BigApps 3.0. Visualizing.org.
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