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数据可视化
Created by Charles Joseph Minard
- Website
- Wikipedia
- 维基百科
Data visualization is the visual depiction of data through the use of graphs, plots, and informational graphics. Its practitioners use statistics and data science to convey the meaning behind data in ethical and accurate ways.
nivo provides a rich set of dataviz components, built on top of the awesome d3 and React libraries
An open access book on scientific visualization using python and matplotlib
A golang framework helps gopher to build a data visualization and admin panel in ten minutes
🔥 JavaScript Library for HTML5 canvas based heatmaps
Panel: The powerful data exploration & web app framework for Python
📊 Declarative Charting Framework for Angular
📈 A curated list of awesome data visualization libraries and resources.
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
🐍 📊 📈 Build complex dashboards without any front-end code. Use your own endpoints. JSON config only. Ready to go.
Matplotlib 3.1 cheat sheet.
Enhancing {ggplot2} plots with statistical analysis 📊📣
This repository contains the Syncfusion Flutter UI widgets examples and the guide to use them.
Library for animated data visualizations and data stories.
3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL
"Cyberpunk style" for matplotlib plots
An open source tool to quantify the world
VChart, more than just a cross-platform charting library, but also an expressive data storyteller.