
Trulia
Zillow
Redfin
LoopNet
Apartments.com
Zumper
HotPads
Rent.com
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Plotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.
Plotly might be a bit more popular than Trulia. We know about 34 links to it since March 2021 and only 29 links to Trulia. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I used realtor.com. Realtor.com and trulia.com are updated from the MLS, and Zillow takes a bit longer to update. I have found though that Zillow tends to have better history of the homes. Source: almost 3 years ago
Have you ever looked a house for sale post on realtor.com, zillow.com, trulia.com or any other real estate website and thought "I wish they had a comment section". This is your place to do just that. Post a link to the home that is for sale and comment away, see if other Redditors feel the same way. Source: about 3 years ago
There's a lot under that price. Have you looked in trulia.com? Source: over 3 years ago
Look through trulia.com and aparmentguide.com You should keep your budget to 1150 MAX or get a roommate. Which is about 25% of your take home pay. Source: over 3 years ago
Go to rent.com, trulia.com, and try to rent from a person who owns their apartment/condo vs. Renting from a management company. The owner may use rental management, but they are the ones to call the shots and ultimately make final decisions. Got lucky renting a 1-bedroom condo in Uptown from the owner who is extremely flexible and always on top of repairs/issues. Any bad experiences I had were always at rental... Source: over 3 years ago
Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 6 months ago
Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / almost 2 years ago
How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 2 years ago
Zillow - Is that home for sale? What is it worth? Where can I find foreclosures? Stop wondering!
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
Redfin - Our mission is to reinvent real estate in the consumer’s favor.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
LoopNet - LoopNet is an online commercial real estate marketplace that connects buyers, tenants, and investors.
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.