You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
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 -
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.
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
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.
The goal of this dashboard is to provide charts, maps, and interactive visualizations that help customers explore the data and determine if they want to invest in rental properties in San Francisco.
Columbia FinTech Boot Camp Homework - Leveraging PyViz, Panel, and other visualization libraries to plot trends and categorizations of data in the San Francisco residential real estate market.