Giter Site home page Giter Site logo

big_chimnie's Introduction

🧱 Big Chimnie

Solution:

  • chimnie-big-data-peter.ipynb

Goals

  • The exercises aim to assess your familiarity with big datasets, your ability to work with property data insights, and your comfort with applying statistical techniques to manipulate data. You will need to download and work with approximately 10GB of data files. Below are the details for downloading and using the required datasets.

Data Sources

  1. Land Registry

    • Link to Dataset
    • Notes: Use the complete dataset, not just the current month.
  2. Postcodes (NSPL)

    • Link to Dataset
    • Notes: The NSPL contains codes for various administrative geographies. The corresponding names can be found under "Names and Codes" in the web portal.
  3. British National Grid Shapefiles

big_chimnie's People

Contributors

stromal avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.