Rental Analysis using PyViz
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Updated
Apr 26, 2020 - Jupyter Notebook
Rental Analysis using PyViz
HvPlot Visualizations using Real State data.
Find properties in the San Francisco market that are viable investment opportunities. It is a unique oportunity to review a seven year period of data to identify income streams for the potential investor.
Rental Analysis using PyViz
This repository contains the sumo, c++ and ns3 files for your reference. Find step by step guide of integration of network simulator 3 and openflow switches at opensourceforu.com titled as A primer on software defined networking (SDN) and OpenFlow standard. Article link -
Create a dashboard to visualize housing market in San Francisco neighborhoods. Parallel categories, coordinates and neighborhood maps are created on annual housing units, average gross rent and sales prices. Visuals in line and scaled bar charts are also created using Matplotlib and hvplot libraries.
Toronto Rental Property Analysis. A dashboard provides charts, a map, and interactive visualizations that help customers explore the data and determine if they want to invest in rental properties in Toronto
Real estate price analysis 🏠💰
Rental property analysis of San Francisco neighborhoods and interactive dashboard for the market data visualizations using the Panel library.
Query a postgresql database to identify possible fraudulent transactions. Use PyViz ecosystem to visualize customer spending trends.
Bank Interconnectedness Analysis
This project runs a rental analysis on the property in San Francisco and aims to provide customers with a broad range of portfolio options. I have used Python's PyViz library to create a dashboard that helps the customers determine if they want to invest in rental properties in San Francisco.
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