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Geocoding building consents and residential transaction data into static maps. For Dr Ryan Greenaway-McGrevy (Economics » Faculty of Business and Economics)

Home Page: https://uoa-eresearch.github.io/auckland-housing/phase2

Jupyter Notebook 34.54% Python 0.05% HTML 65.36% JavaScript 0.02% CSS 0.02% Shell 0.01%
geopandas

auckland-housing's Introduction

Auckland Housing Market Dataset

Geocoding building consents and residential transaction data into static maps
Enriching geospatial datasets with additional information

Installation

sudo pip3 install -r requirements.txt

Running

jupyter-notebook

Data sources

Restricted data sources (restricted folder)

Not publicly available.

Notebooks

These Python Jupyter (.ipynb) notebooks have been converted to HTML with jupyter-nbconvert --to html phase1.ipynb for ease of viewing results

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