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.
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Pro Tip: Use online tools like Clippy to generate clip-path values. - Source: dev.to / 4 months ago
Want to create other shapes? Check out this nifty CSS shapes generator: CSS Shape Generator. - Source: dev.to / 7 months ago
Clip path: Get creative with shapes using Clippy. - Source: dev.to / about 1 year ago
In the beginning I only had buttons to click, but then I guessed I could make small icons for the ecological disasters and I found Bennett Feely's CSS clip-path maker. Altough I know Adobe Illustrator and also wrote some SVG by hand, I was lazy to figure out all the shapes and I didn't want to include any images or vector graphics at all in this project. So that website came in very handy. - Source: dev.to / about 1 year ago
To create this CSS glitch animation, we used the clip-path property. You can use Bennett Feely’s Clippy tool to generate clip-path properties in any of the preset shapes or to make a custom clip-path. Ours had only four points — what if yours has eight points like a spider? - Source: dev.to / about 1 year 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 / 2 months 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 / 4 months 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 / 6 months 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 / 12 months ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
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