#Data Visualization

Using grammar-agnostic large language models, the LIDA tool executes code to deliver accurate visualizations across different programming environments. It facilitates data summarization, goal-setting, visualization creation and editing, and infographic generation while maintaining security. Compatible with numerous LLM providers, it enhances data representation effectively.

Dive into a detailed roadmap for self-learning data science in 2024. Access free resources to build essential skills in programming, statistics, and data visualization. Understand the differences among data science, analytics, and engineering to choose the appropriate path. Find tools like Python, R, and SQL while receiving tips for workspace setup. Progress through a structured learning path from beginner to advanced levels, featuring curated courses and practical projects. Suitable for individuals aiming to advance in data science.

DeepDataSpace (DDS) is an open-source tool for enhancing computer vision data management through visualization and annotation. Offering features like interactive dataset exploration and intelligent workflows, DDS supports platforms such as Mac OS, Windows 10, and Ubuntu and is compatible with Python 3.8 to 3.10. The installation process includes options via PyPI, Docker Compose, or source code. Its intuitive command line interface allows for rapid dataset exploration, supported by thorough documentation and tutorials for effective data management.

The hex editor is designed for reverse engineers and programmers seeking detailed data manipulation capabilities. It offers features such as byte patching, infinite undo/redo, custom pattern languages, and extensive data visualization, making it suitable for analyzing complex data structures. It includes theming options, flexible data import/export, and compatibility with multiple data sources. Additional functionalities are data processing, advanced search, hashing, diffing support, and a modern interface, suitable for both beginners and experts.