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Renzee Reyes edited this page Nov 9, 2018 · 3 revisions

Meeting Notes - 11/8/18

  • Modify BFNs to indicate insights; add direction to numbers
  • Complete Midterm Presentation by next meeting
  • Flesh out webpage mockup

Meeting Notes - 11/6/18

  • Renzee
    • Scale down initial data. Less volume and only 3 months (Oct, Nov, Dec)
    • Combine us-east and us-west to us
    • Add more deviation between baseline
    • Add insight - Europe and Asia ad campaign. Europe sees an increase in events but Asia not so much in February
    • Frontload insights into last month for showcase in midterm presentation (ad campaign, style trend, issue with manufacturer slowing down packaging)
  • Gaurav
    • Take initial data to stage 2
  • Focus on stage 1 for midterm presentation
  • Establish stage insights
    • In general
      • Total Count by X
    • At various time intervals
      • Year/Several Months -
      • Single Month -
      • Week -
      • Day

Meeting Notes - 10/31/18

  • Context
    • New storefront with recently established e-commerce site
    • Start from online order and take it to shipment
      • Online order
      • Purchase confirmation
      • ...
      • Check stockroom
      • Package item
  • Add e-commerce related fields
    • Product Style
    • User Demographic
  • Get data concrete by Tuesday
  • Meet again on Tuesday and Thursday

10/24/2018 - Meeting Notes

  • Initial data and script pushed & committed
    • Needed changes:
      • Add unique ID
      • Add event type
      • Add origin
  • Initial Tableau viz pushed & committed
    • Simple connection of Tableau to data
  • Sullivan to upload d3 templates
  • Gaurav working on subsequent timestamp/stage generation script (By 10/26)
  • Renzee to modify initial data to include:
    • Unique ID
    • Event Type ID
    • Origin
    • Node ID
  • Low effort mockups in Tableau, Majority focus on d3

10/16/2018 - Meeting Notes

  • Renzee - Finish initial data and template
  • Use bootstrap for frontend layout
  • Brush selection use cases
    • More time-series data (messages per minute)
  • Keep pipeline overview filtering simple; Checkboxes for inclusion/exclusion
  • Start mockups in Tableau
  • Draft specific insights; create our mockups around these insights

10/9/2018 - Meeting Notes

  • Use public REST api for seed data
  • Github repo setup for codebase (python, html, d3 js, etc): https://github.com/giktech/pipeline
  • Gaurav to develop python script for generating staging (use numpy array function for specifying array of given mean and given std)
  • Renzee to develop initial HTML environment (files, folders, css, libraries, etc)
  • Research scenarios/context for various pipeline situations
  • Begin looking up examples to model our viz draft after (Sullivan to lead)

10/1/2018 - Meeting Notes

  • Event Streaming Model (Kafka, Redis, HDFS, Spark)
  • Ideal Meeting Time: Tuesdays @ 7:00pm PST (10:00pm EST, 4:00pm HST)
  • Find a publicly available data stream

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