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Module-6-Challenge

Finding Viable Investment Properties in SF Rental Market: (Data Visualization with GeoSpatial Analysis)


<img src="[http://url/image.png" style=](https://github.com/DigitalGoldRush/Module-5-Challenge-/blob/main/money-tree%20jpeg%20from%20unsplash.com.jpeg width:10px ; height:10px " >

Analyst for a Proptech company to find viable Investment Properties in SF Rental Market

Application of numerous data visualization techniques:

  • aggregation

  • interactive graphs

  • geospatial analysis

Deliverables will be Jupyter notebook with formated interactive visualizations


Technology Used

Python 3.7.13 Python

Anaconda

Jupyter Notebook

DjangoREST

Pandas

GitHub

Python - GeoViews


Installation Guide

1. The easiest way to install JupyterLab is to download the Anaconda application.

Anaconda-Server Badge

  • To install Juypter Lab with pip:

$ pip install jupyterlab
  • Then install Jupyter Notebook with pip:

$ pip install notebook

2. The recommended way to install hvPlot is using the conda command

conda install -c pyviz hvplot

3. To install Pandas create a new (Python 3) notebook in Jupyter Notebook and then in the prompt enter:

$ import pandas

4. GeoViews installation with PIP

conda install -c pyviz geoviews

Pandas has many features, which was used in the code creation, and can be found at the link above.

Features used:

Plotting Points

Basic Plot


Contributors

Python


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Contributors

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