DoorDash
Uber Eats
GrubHub
Postmates
Caviar
Delivery.com
Foodpanda
Zomato
Plotly
D3.js
RAWGraphs
Tableau
Highcharts
Google Charts
Bokeh
Chart.js
DoorDash Plotly{"families" => "Families who want to enjoy different types of meals without the hassle of cooking or going out.", "food_explorers" => "People who enjoy exploring new restaurants and cuisines but prefer eating at home.", "busy_professionals" => "Individuals with demanding schedules who prefer the convenience of having meals delivered."}
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.
DoorDash might be a bit more popular than Plotly. We know about 40 links to it since March 2021 and only 34 links to Plotly. 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.
The message says "HMMM! THE PAGE YOU'RE LOOKING FOR MUST BE HERE SOMEWHERE... error code: 404 -- ERR 004 Maybe you'd like to go back home (underlined)" This is what the home page looks like and it is the home page - www.doordash.com -- At first the website looks like its going to load normally but then it flips to the error screen and no matter how many times I try to reload it or clear the cache it refuses... Source: almost 3 years ago
That's great from the driver's point-of-view no doubt there but its not from a customer's point-of-view, it's as easy as just go to doordash.com and it'll say that you can order food and get it delivered, in the process you can leave a tip for the driver, it says nothing about having to do calculations to cover a driver's time, gas, etc, let me quote that for you:. Source: about 3 years ago
When you see areas like this, go to doordash.com type in an address in the area (it can be an address to a tacobell etc) and look at the merchants avail for delivery because most time no one is open and dd just wants someone 'on call' in case there might be a chance of an order. Usually the more areas you see, the lack of customers exist. Busy means not busy. Source: about 3 years ago
Food delivery services like shef.com or doordash have delivery of home cooked food. Thats a good option as well to get Indian food. Source: about 3 years ago
Go to doordash.com and type in an address in yr zone, my guess is most are not available for delivery since 3.50 is offered. 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 / 4 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 / over 1 year 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
Uber Eats - From tap to table in minutes
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.
GrubHub - Hungry? The GrubHub app can help.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Postmates - Anything, anytime, anywhere. Postmate it. Food, drinks and groceries available for delivery or pickup.
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.
