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This Project is affiliated with the Data Science Nano Degree from Udacity.

Photo by TR on Unsplash

Introduction

This data set contains simulated data that mimics customer behavior on the Starbucks rewards mobile app. Once every few days, Starbucks sends out an offer to users of the mobile app. An offer can be merely an advertisement for a drink or an actual offer such as a discount or BOGO (buy one get one free).

The data is contained in three files:

  • portfolio.json — containing offer ids and meta data about each offer (duration, type, etc.)
  • profile.json — demographic data for each customer
  • transcript.json — records for transactions, offers received, offers viewed, and offers completed

Here is the schema…


Photo credits (Pinterest)

Considered by many as the cultural hub of the world, the City of New York is certainly a locality, a lot of people aspire to end up at.

Be it the formidable skyline consisting of the empire state building, the endless hustle and bustle of the financial districts, or the calmness and serenity of the Central Park, there is certainly an Aura this city possesses which attracts people from all over the world.

Therefore this attraction has certainly allowed AirBnbs to flourish in this city and that is what I will be going through in this article. Taking actual data…

Muneeb Aizaz

Data Science enthusiast looking to learn and share interesting ideas and approaches on Data Analysis and Machine Learning.

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