scatter-plot

Beautiful visualizations of how language differs among document types.

Data plotting library for Rust

📈 📊 Introduces geom_pointdensity(): A Cross Between a Scatter Plot and a 2D Density Plot.

🌝 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.

Plot in the terminal using braille dots.

Show plotly graph in grafana panel

Scalable WebGL-based scatter plot library build with Regl

Interactive 2D scatter plot widget for Jupyter Lab and Notebook. Scales to millions of points!

Javascript Library for building Audiovisual Charts in D3

Present your data as an effective and compelling story

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.

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

Sonification of multivariate datasets - SuperCollider, Electron, React-Redux

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.

Data preprocessing is a data mining technique that involves transforming raw data into an understandable format.

Spatial Data Analysis using different statistical methods

Google Charts Extension for Yii 2

Source code for UIST 2017 paper "AirCode: Unobtrusive Physical Tags for Digital Fabrication". C++ Computational Camera Imaging code, and MATLAB robust decoding implementation.

CSBB - Computational Suite For Bioinformaticians and Biologists

Bash Script to help statistical tests of Multi-Objective Evolutionary Algorithms.

Different modeling techniques like multiple linear regression, decision tree, and random forest, etc. will be used for predicting the concrete compressive strength. A comparative analysis will be performed to identify the best model for our prediction in terms of accuracy. The best model will be helpful for civil engineers in choosing the appropriate concrete for bridges, houses construction.

Relational Plot, Two Dimensional Plot, Scatter Plot, Pair Plot, Faceted Plot, Box Plot, Bar Graph, and Density Plot

Scripts for visualizing astronomy data using Blender.

Tools for hexagonal binning (honeycomb plot) and visualisation.

Assignment-07-Clustering-Hierarchical-Airlines. Perform clustering (hierarchical) for the airlines data to obtain optimum number of clusters. Draw the inferences from the clusters obtained. Data Description: The file EastWestAirlinescontains information on passengers who belong to an airline’s frequent flier program. For each passenger the data include information on their mileage history and on different ways they accrued or spent miles in the last year. The goal is to try to identify clusters of passengers that have similar characteristics for the purpose of targeting different segments for different types of mileage offers.