
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
City Roads
Mapiful
Craft & Oak
Mapbox
Grafomap
OpenStreetMap
TiltMaps
City Map Retro Posters
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 City Roads. We know about 34 links to it since March 2021 and only 24 links to City Roads. 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.
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
For anyone who lands here from Google: just use the QGIS. Or use https://anvaka.github.io/city-roads if you just need a map like mine. Source: almost 3 years ago
You previously made a tool for visualising all roads in a city that I like a lot. Source: over 3 years ago
Hey, I am trying to generate G code for my 3D printer that I converted to a plotter. For now I tried only modest SVG and using Inkscape with GcodeTools has been super convenient. However Now I wanna do something a bit more complicated, I am trying to use the svg outputted by City Roads to plot a map of a city. It's quite a complicated model so everytime I try converting it GcodeTools crashes. Is there any... Source: over 3 years ago
Render all of a city's roads at once. https://anvaka.github.io/city-roads/. Source: almost 4 years ago
Came across a website like anvaka that visualizes all the roads in a given city. Is there something like this, a visual roadmap of related companies related to source company? Source: almost 4 years ago
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.
Mapiful - Create & order custom printed maps of your favorite places
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Craft & Oak - Beautiful, minimalistic custom map posters
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.
Mapbox - An open source mapping platform for custom designed maps. Our APIs and SDKs are the building blocks to integrate location into any mobile or web app.