visfest / topics2015

A place to collaborate on session topics for the 2015 d3.unconf
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Data Aggregation #10

Open jhellier opened 9 years ago

jhellier commented 9 years ago

Large data sets are a challenge. What can we do to intelligently aggregate data to only show what the user needs while still giving hints or cues as to what lies underneath.

Possible Outcomes:

georules commented 9 years ago

+1

enjalot commented 9 years ago

+1 I've also been using crossfilter to prototype "mid-sized" datasets in the browser to determine the actual combination of filtering + aggregation I want from a database

jonathandinu commented 9 years ago

+1 Vadim gave a great presentation on this topic and has some great open libraries to integrate with databases

nydame commented 9 years ago

+1

jhellier commented 9 years ago

Another aspect to explore with this is the visual aggregation and disaggregation. Looking for novel approaches to visually showing elements that represent collections of various complexity, breadth and depth.

curran commented 9 years ago

+1

This could be a broader discussion of data reduction and interactions with "Big Data" systems like Hadoop and Spark, using techniques like sampling, filtering, and aggregation. This paper has a great overview of data reduction methods: imMens: Real-time Visual Querying of Big Data

chabb commented 9 years ago

+1