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In this assignment, I'll use numerical/visual aggregation, interactive visualizations, widgets, and explore the geospatial relationships in the data by using interactive visualizations with hvPlot and GeoViews.

Jupyter Notebook 100.00%
geoviews housing-prices hvplot interactive-map plot pyviz module-6-pyviz javascript matplotlib opengl

housing-analysis_module6challenge's Introduction

Module 6 Challenge: Housing Rental Analysis for San Francisco

Anvitha Chaluvadi

Background

Proptech, the application of technology to real-estate markets, is an innovative domain in the fintech industry. Assume that you’re an analyst at a proptech company that wants to offer an instant, one-click service for people to buy properties and then rent them. The company wants to have a trial of this offering in the San Francisco real-estate market. If the service proves popular, they can then expand to other markets.

Your job is to use your data visualization skills, including aggregation, interactive visualizations, and geospatial analysis, to find properties in the San Francisco market that are viable investment opportunities.

What You’re Creating

For this Challenge assignment, you’ll need to create and submit the following deliverable:

A Jupyter notebook that contains your analysis of the housing rental market data for San Francisco. The analysis will be complete with professionally styled and formatted interactive visualizations.

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