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Boston Rental Real Estate Dashboard

A dashboard that can display the number of real estate rental listings, average price of each area, and real estate rental details.

Table of Contents
  1. About The Project
  2. Usage
  3. License
  4. Contact
  5. Acknowledgements

About The Project

dashboard screenshot

Since Boston is the state capital and most populous city of the Commonwealth of Massachusetts, as well as the cultural and financial center of the New England region of the United States. Boston attracts many immigrants and students who come here to study and work. As a result, people here have a high demand for housing. Therefore, my dashboard is aiming to provide the most current real estate rental listing numbers in each area, the average cost of renting a house in each area, and the current real estate listing details by property type(i.e. listed price, address, days on the market etc).

Features

It has dropdown menus that allow user to select property type, then the pie chart will display the number of rental houses in that type listed in the market in each area, the bar chart will displayed the average price in the area, and the table will display the specifc details about listing.

1. Dropdown Menu

It allows user to select the property type they want to check. It also allows user type in the property type. If there is no results found in the data, it will return "No results found."

Dropdown menu

2. Pie Chart

It displays all the property numbers in the area after user select a property type from the dropdown menu.

3. Bar Chart

It displays average rental price in the areas after user select a property type from the dropdown menu.

4. Datatable

It displays all the details about rental real estate listing in the market. Users are allowed to sort the value, set the filters to the column to filter the data and check the properties they are interested.

datatable

Built With

Usage

  1. Click to the link: bos_rental_dash
  2. The browser will direct you to the heroku link that app where is hosted.
  3. Choose the property you want to check, filter the data table, and then browsing!

License

Distributed under the MIT License. See LICENSE for more information.

Contact

Yihao Li: yihaoli@falcon.bentley.edu

Project Link: project

Acknowledgements

About

This project is for my MA705 Data Science class.

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