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  2. Plotly - Wikipedia

    en.wikipedia.org/wiki/Plotly

    Dash Enterprise is Plotly’s paid product for building, testing, deploying, ... Dash is a Python framework built on top of React, a JavaScript library. [30]

  3. Python is great for data exploration and data analysis and it’s all thanks to the support of amazing libraries like numpy, pandas, matplotlib, and many others. During our data exploration and ...

  4. Comparison of JavaScript charting libraries - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_JavaScript...

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  5. Comparison of JavaScript-based web frameworks - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_JavaScript...

    Framework choice depends on an application’s requirements, including the team’s expertise, performance goals, and development priorities. [14] [15] [16] A newer category of web frameworks, including enhance.dev, Astro, and Fresh, leverages native web standards while minimizing abstractions and development tooling.

  6. Dashboard (computing) - Wikipedia

    en.wikipedia.org/wiki/Dashboard_(computing)

    In computer information systems, a dashboard is a type of graphical user interface which often provides at-a-glance views of data relevant to a particular objective or process through a combination of visualizations and summary information.

  7. Kibana - Wikipedia

    en.wikipedia.org/wiki/Kibana

    Kibana provides visualization capabilities on top of the content indexed on an Elasticsearch cluster. Users can create bar, line and scatter plots, or pie charts and maps on top of large volumes of data.

  8. Graph drawing - Wikipedia

    en.wikipedia.org/wiki/Graph_drawing

    Graphic representation of a minute fraction of the WWW, demonstrating hyperlinks.. Graph drawing is an area of mathematics and computer science combining methods from geometric graph theory and information visualization to derive two-dimensional depictions of graphs arising from applications such as social network analysis, cartography, linguistics, and bioinformatics.

  9. Data and information visualization - Wikipedia

    en.wikipedia.org/wiki/Data_and_information...

    Within The Harvard Business Review, Scott Berinato developed a framework to approach data visualisation. [64] To start thinking visually, users must consider two questions; 1) What you have and 2) what you're doing. The first step is identifying what data you want visualised.