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Open-source scientific and technical publishing system built on Pandoc.

Home Page: https://quarto.org

License: Other

Shell 0.22% JavaScript 55.58% Python 0.39% Lua 9.52% R 0.81% Rust 0.05% PowerShell 0.06% Julia 0.03% TypeScript 27.65% XSLT 1.08% CSS 1.05% TeX 0.13% HTML 0.39% Batchfile 0.09% EJS 0.38% Roff 0.01% SCSS 2.56%

quarto-cli's Introduction

Website Data Science Project

This repository hosts all data and background files for the following website:

Website

Content

Data Science Project for the Advanced Data Science course at Zeppelin University.

The aim of this website is to analyse and visualise Airbnb data in Copenhagen and identify the price determinants of its rentals. In particular, it scrapes coordinates of its metro station in order to investigate the effect of the distance to the closest metro station on the price of the rental. It uses data from Inside Airbnb.

quarto-cli's People

Contributors

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