Best of Data Visualization — January 2024

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    Article
    Avatar of communityCommunity Picks·2y

    The admin panel you don't have to build

    Basedash is an AI-generated admin panel that allows users to visualize, edit, and explore their data. It offers features such as creating gallery views for images, collaboration with team members, a SQL AI assistant, integration with external APIs, creating visualizations and charts, and tracking activity history. Using Basedash can save users 100x less time building internal tools compared to coding or drag-and-drop UI builders.

  2. 2
    Article
    Avatar of javacodegeeksJava Code Geeks·2y

    Explore These 20 Cool Python Scripts for Fun and Productivity!

    Explore 20 cool Python scripts that are both fun and practical. From web scraping with BeautifulSoup and Requests to machine learning model deployment with Flask, Python can make tasks easier and more enjoyable.

  3. 3
    Article
    Avatar of freecodecampfreeCodeCamp·2y

    Learn Data Analysis and Visualization with Python Using Astronomical Data

    Learn how to use Python to analyze and visualize astronomical data in a course on the freeCodeCamp.org YouTube channel. The course covers Python programming basics, tabular data visualization, image data visualization, and image processing techniques.

  4. 4
    Article
    Avatar of streamlitStreamlit·2y

    Building a dashboard in Python using Streamlit

    Learn how to build a dashboard in Python using Streamlit. Define key metrics, perform EDA analysis, and build the dashboard app with Streamlit.

  5. 5
    Article
    Avatar of logrocketLogRocket·2y

    D3.js adoption guide: Overview, examples, and alternatives

    D3.js is a powerful JavaScript library for creating custom, flexible data visualizations. It originated from the Protovis library and offers improved support for animation, interactions, and flexibility. D3.js allows you to manipulate, add, or update data easily and provides the tools to create any kind of data visualization. It supports native CSS styling and can be deployed together with existing projects. When considering the adoption of D3.js, it's important to evaluate alternatives, weigh the benefits and drawbacks, and consider specific project requirements.

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