In this assignment, I was asked to analyze two data files and generate a dashboard of interactive visualizations to represent the rental analysis of San Francisco from 2010 to 2016
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.
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.
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 -
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
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.
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.