short data mining exercice


* You'll find below several files that contain everything you need to answer the questions. You do not need any other data than what is available in these files

* You are free to choose whichever analytical tools you're most familiar with to do this homework. You are free to code in any programming language

* There is a data dictionary to guide you through the datasets. You'll also find a Glossary that defines key words and KPIs in our analytical team


* Unless otherwise mentioned, all the data you need to answer the following questions is in the [url removed, login to view] file

* Q1) What is the difference in success rate between drivers with and without a profile picture?

* Q2) What would be the uplift in success rate for all drivers if every new driver had a profile picture? From now on, you can consider that every other factor impacting success stays constant

* The feature has been implemented as a test on the web desktop only. You have implemented some tracking in the product to know how many users are actually using it. This data has been stored in the [url removed, login to view] file. It collects data on all platforms

* Q3) Considering this evidence, what would be the actual uplift in success rate for drivers publishing their trips on the app?


* driver_id: unique identifier for a driver

* trip_id: unique identifier for a trip made by a driver

* trip_date: date a trip would start

* publication_site_id: medium used to create a trip (web 1056, web mobile 2013, app 5056)

* seat_offered_count: number of seats offered by a driver for a trip

* confirmed_seat_count: number of seats travelled by passenger on a trip

* city_from_id: unique identifier of a departure city

* city_to_id: unique identifier of an arrival city

* city_from_population: population of a departure city

* city_to_population: population of an arrival city

* first_publication_date: date when a driver created her very first trip on 'private car'

* profile_picture_added_date: date when a driver uploaded a picture into his 'private car'profile

Kemahiran: Perlombongan Data, SQL

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I have done MS Software Engineering. I had a course on DATA ENINEERING and Artificial Intelligence . I know all data mining techniques (Predication & Classification) and data analysis techniques. I have worked on K-mea Lagi

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We are highly experienced IT Professionals, Software Developers, Web Designers and IT Architects. We work in PHP, JAVA, ASP, DOT NET, Prestashop, Magento, woo commerce, OSCommerce, WordPress, Joomla, Web Hosting Pa Lagi

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I know most of what you want in the messages you leave. But if I do this work I want to know more information so that I can finish it better.

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