Dataset: Travel Dataset - Datathon 2019

About this Dataset

Travel Dataset - Datathon 2019

Introduction

The Datathon is a weekend-long competition where you are challenged to work on a real-world business case from different areas of Machine Learning, AI, and Data Science.

Context

Argo Solutions - A leading technology company in Latin America, developing solutions to facilitate expense management and corporate travel using technology as an enabler of these processes. Our team is committed in simplifying our customers' routine, providing an efficient, innovative and seamless experience.

Challenge

In this competition, we provided a dataset simulating real corporate travel systems - focusing on flights and hotels.
Competitors must analyze this set with over one thousand users and 250 thousand travels to produce insights. How can Argo offer the best travel experience for its customers? Explore, invent and surprise us! See an online BI report.

Inspiration

Now is publicly available to you enjoy and explore!
How generate this dataset? See the link

Acknowledgements

Argo Solutions - website.
Photo by Nils Nedel on Unsplash.

Tables

Flights

@kaggle.leomauro_argodatathon2019.flights

2.31 MB
271888 rows
10 columns


CREATE TABLE flights (
  "travelcode" BIGINT,
  "usercode" BIGINT,
  "from" VARCHAR,
  "to" VARCHAR,
  "flighttype" VARCHAR,
  "price" DOUBLE,
  "time" DOUBLE,
  "distance" DOUBLE,
  "agency" VARCHAR,
  "date" TIMESTAMP
);

Hotels

@kaggle.leomauro_argodatathon2019.hotels

395.41 KB
40552 rows
8 columns


CREATE TABLE hotels (
  "travelcode" BIGINT,
  "usercode" BIGINT,
  "name" VARCHAR,
  "place" VARCHAR,
  "days" BIGINT,
  "price" DOUBLE,
  "total" DOUBLE,
  "date" TIMESTAMP
);

Users

@kaggle.leomauro_argodatathon2019.users

29.27 KB
1340 rows
5 columns


CREATE TABLE users (
  "code" BIGINT,
  "company" VARCHAR,
  "name" VARCHAR,
  "gender" VARCHAR,
  "age" BIGINT
);