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HomeData EngineeringExploring London's Travel Network
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Exploring London's Travel Network

Use SQL to analyze a database containing information about Transport for London journeys over 12 years!

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1 Tasks1,500 XP

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Project Description

How do Londoners get around? Transport for London (TfL) is a vast public transport network that allows London's residents to efficiently travel around the UK's capital, to the tune of over 1.5 million journeys per day!

In this introductory project, you will work with a Snowflake, Amazon Redshift, Google BigQuery, or Databricks database containing data on journeys and transport types in London between 2010 and 2022. You will write SQL queries to find the most popular transport methods, examine when the London cable car (which connects London's Royal Docks, where the Mayor's office is located, to Greenwich Peninsula, home of the O2 arena) was particularly busy, and identify rare periods when the Underground (also known as "the tube" to locals) was less busy.

Project Tasks

  1. 1
    Explore how Londoners travel around the city!

Technologies

Python Databricks

Topics

Data EngineeringExploratory Data AnalysisData Warehouse
George Boorman HeadshotGeorge Boorman

Curriculum Manager, DataCamp

George is a Curriculum Manager at DataCamp. He holds a PGDip in Exercise for Health and BSc (Hons) in Sports Science and has experience in project management across public health, applied research, and not-for-profit sectors. George is passionate about sports, tech for good, and all things data science.
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