Loading…
This event has ended. View the official site or create your own event → Check it out
This event has ended. Create your own
View analytic
Thursday, September 1 • 4:00pm - 4:30pm
Visualization Challenge

Sign up or log in to save this to your schedule and see who's attending!

The Indy Big Data Conference Visualization Challenge encourages all participating Gigabyte Sponsor Companies to visualize trends in cancer, such as side effects, medications, etc., based on the unstructured Twitter data. This data consists of more than 500,000 Twitter accounts filled with tweets (from 5 to many). Each file is one user and includes 3 columns – an identification number of the anonymous Twitter account, the date and time each tweet was posted, and the unstructured text of that tweet or retweet. Use only the amount of Twitter data you deem necessary.

The challenge requires that you have a hypothesis and then start looking at difference possibilities, i.e. phrases, words or hashtags. Link this data to the time period it was posted to build a trend or pattern and create your visualization solution.

Two-step process:
  1. Prepare the raw data for visualization. While any software can be used, you may want to investigate using Knime, Java, Python or Open NPL. You may also use any proprietary software you have available.
  2. Preprocess and visualize the prepared data, using as suggested Tableau, D3.JS Library or Knime. You may also use any proprietary software you have available.
What we are looking for:

Visualizations, animations, maps, numbers or time frame, heat maps or clouds, that show executives/decision makers something about the trends in cancer, and anything else interesting that this data may reveal. Each participating company will have up to 10 minutes to discuss their solution to the general session audience beginning at 4:00 pm on Thursday, September 1, 2016 (the day of the Conference). The session will be guided by a moderator. All participating Gigabyte Sponsor Companies will be asked the same five following questions:

  1. What trends did you detect?
  2. How much of the data did you use?
  3. What tools did you use?
  4. How fast is your solution?
  5. Describe the ease of use of your solution.
Participating Companies:
Cloudera
Moser Consulting
Pinnacle Solutions
ThoughtSpot
Zoomdata 

Thursday September 1, 2016 4:00pm - 4:30pm
Indiana Convention Center & Lucas Oil Stadium Sagamore Ballroom 100 S Capitol Ave Indianapolis, IN 46225 DOWNTOWN