the meta context deep dhillon | cto @ socrata | @zang0

Visualizations

Analysis

Discovery/SEO

Dashboards

Public SectorData

Benchmarking / Prediction

Syndication to Consumer Web

Apps

what does socrata do? lots of data sets, lots of schema, lots of dictionaries

who uses socrata? constituents, publishers, analysts, developers

Laura – Local Resident“How safe is my neighborhood?”

Aaron – Community Advocate “I want to see trends in social housing.”

Dave – App Developer “I need real-time API access to 911 data.”

Dora – The Chief Data Officer”How do we connect our data to the web?”

Pam – Mayor’s Office “How do we share data to make better decisions?”

Sammy – Department Head “I need to shift to self-service digital channels.”

External Data Consumers Government Data Publishers

minimal context: flat table > column visualizations

minimal context: constraints applied

moderate constraints: schema constrained, dictionary not

moderate constraints: hierarchical structure understood

moderate constraints: raw data in context

what are your meta contexts?

do you serve multiple user personas?

when do you move to a targeted experience?

what’s the first thing you do on analyzing a new data set?

normalizing data structure and values

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dataset categorization

map selection

location associationcolumn normalization

entity detection

lat / long points

value normalization

aggregation association

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dataset annotations