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How do you make data beautiful and informative?

Data Visualization Challenge by

Our contest is now over and our winner has been selected, however, see the submission section for continued opportunities at Localytics.

Contest ended on December 1st, 2014

What is the task?

Given some analytics data, create a visualization for BootLoader, a fictional crowdfunding mobile app, to help determine what segment of users would be interested in a new bicycle project.

BootLoader is a mobile app that helps people crowdfund their creative projects. Anyone with an idea, dream, and 2-minute video can post their project on BootLoader. Others then donate money to the project to help bring it to fruition.

Dennis Ridesalot, a BootLoader user, has a new concept for a 3-speed bicycle made from recycled parts with a $20 price point. The BootLoader team wants to send a push notification to their users, prompting them to fund the project. However, they don't want to send a message to all of their users--only those who they think would be interested. That's where you come in.

You're the resident data expert at BootLoader. You'd like to create a visualization that helps answer: what kinds of users would be interested in the bicycle project?

Luckily, you've been collecting analytics data on how your users fund projects. You also have software that can send push notification to segments of users, based on attributes like location, age range, gender, and mobile device.

For example, you can send a push notification to all iOS users in Chicago, IL that says "Deep dish lovers unite! Help fund the largest pizza in the world on BootLoader."

What is the data?

Your analytics software tracks the events: "View Project" and "Fund Project," for when a user views details about a project and for when they fund a project. The events also have the following attributes:

  • category: what the project is about, e.g. "Sports", "Fashion", "Technology", etc.
  • client_time: a UNIX timestamp of when the event occurred.
  • amount: how much the user donated (for "Fund Project" only)
Note: The bicycle project belongs to two categories: "Sports" and "Environment."

Additionally, you know some information about each user on your site, that they supplied in a survey when they signed up. Specifically, you know:

  • session_id: unique identifier for each user
  • age_range: one of ['18-24', '25-34', '35-44', '45-54', '55+']
  • gender: one of ['M', 'F', 'U'] (Male, Female, Unspecified)
  • location:
    • city: a city in the United States
    • state: a state in the United States
    • latitude
    • longitude
  • marital_status: one of ['single', 'married']
  • device: one of ['iOS', 'android']

From past experiments, you know that each user generally likes projects from the same category. For example, User A almost always views and funds projects from the "Technology" category. The bicycle project belongs to two categories: "Sports" and "Environment."

You have a sampled time series of 50,000 events from one month this year in a JSON blob. User data is added into every event. Note that BootLoader has more users than are represented by this sample.

Here's an example of two events by the same user:

{
  "event_name": "View Project",
  "gender": "M",
  "marital_status": "single",
  "session_id": "98ccfbe8c29845c0a44f8e56213d1def",
  "device": "android",
  "category": "Technology",
  "age": "25-34",
  "client_time": 1393632024,
  "location": {
    "latitude": 33.786594,
    "city": "Covina",
    "state": "CA",
    "longitude": -118.298662,
    "zip_code": "91723"
  }
}

{
  "event_name": "Fund Project",
  "gender": "M",
  "marital_status": "single",
  "session_id": "98ccfbe8c29845c0a44f8e56213d1def",
  "device": "android",
  "amount": 20,
  "category": "Technology",
  "age": "25-34",
  "client_time": 1393632301,
  "location": {
    "latitude": 33.786594,
    "city": "Covina",
    "state": "CA",
    "longitude": -118.298662,
    "zip_code": "91723"
  }
}
Get the data from github

Submissions

Submissions are now closed.

The entry period for submissions to our data visualization challenge has now ended. However, Localytics is always looking for talent and ideas. If you'd still like to submit a visualization, feel free to do so below.

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Contest ended on December 1st, 2014