
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Master Vim
vim.so
Vim Awesome
qutebrowser
Vim Adventures
Vim Bootstrap
Python
VS Code
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 Master Vim. We know about 34 links to it since March 2021 and only 31 links to Master Vim. 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
But, just because you use Linux on your server and are good at the shell commands, does not mean your web app is secure. Sure you may know how to use vim, but neither that will stop a hacker. - Source: dev.to / almost 5 years ago
But, vim can be quite difficult to learn because the keybindings are unusual. You can use vimtutor or vim.is to learn quickly. - Source: dev.to / almost 5 years ago
It is keyboard driven and has quite a hard learning curve (learn vim). Because it's been designed decades ago, some things makes less sense today. To give you an example, you can use both the keys h,j,k,l and the arrow keys to move the cursor. That's because in those times, there were no arrow keys. - Source: dev.to / almost 5 years ago
Vim is one of my favorite terminal apps. It's a command line editor (has GUI version too) that let's you edit files very quickly. The whole app is using keyboard shortcuts that can be challenging to learn. - Source: dev.to / almost 5 years ago
So what to do? If you want to learn vim quickly, you can use vim.is. - Source: dev.to / almost 5 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.
vim.so - Learn vim fast with interactive exercises in the browser
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Vim Awesome - Awesome Vim plugins from across the universe
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.
qutebrowser - An actively developped, keyboard-focused browser with a minimal GUI, inspired by other...