FL Chart is a highly customizable Flutter chart library that supports Line Chart, Bar Chart, Pie Chart, Scatter Chart, and Radar Chart.
-
Updated
Oct 20, 2024 - Dart
FL Chart is a highly customizable Flutter chart library that supports Line Chart, Bar Chart, Pie Chart, Scatter Chart, and Radar Chart.
Beautiful visualizations of how language differs among document types.
📊 Data visualization library for React. Maintained by @goodcodeus.
Data plotting library for Rust
Plot in the terminal using braille dots.
📈 📊 Introduces geom_pointdensity(): A Cross Between a Scatter Plot and a 2D Density Plot.
Interactive 2D scatter plot widget for Jupyter Lab and Notebook. Scales to millions of points!
🌝 Lottery prediction besides of following "law of proability","Probability: Independent Events", there are still "Saying "a Tail is due", or "just one more go, my luck is due to change" is called The Gambler's Fallacy" existed.
Scalable WebGL-based scatter plot library build with Regl
Show plotly graph in grafana panel
Present your data as an effective and compelling story
Easy-to-Use Apple Vision wrapper for text extraction, scalar representation and clustering using K-means.
Javascript Library for building Audiovisual Charts in D3
Allocates text labels in matplotlib
R tool for automated creation of ggplots. Examines one, two, or three variables and creates, based on their characteristics, a scatter, violin, box, bar, density, hex or spine plot, or a heat map. Also automates handling of observation weights, log-scaling of axes, reordering of factor levels, and overlays of smoothing curves and median lines.
Data visualization is the visual presentation of data or information. The goal of data visualization is to communicate data or information clearly and effectively to readers. Typically, data is visualized in the form of a chart, infographic, diagram or map.
A python package for plotting animated and interactive bubble charts using Plotly
Salary report visualization with D3.js 📊 💰
Simple responsive CSS scatter plot chart
Beyond Outlier Detection: LookOut for Pictorial Explanation
Add a description, image, and links to the scatter-plot topic page so that developers can more easily learn about it.
To associate your repository with the scatter-plot topic, visit your repo's landing page and select "manage topics."