scatterplot-matrix | Topic | Ecosyste.ms: Repos

Topic: "scatterplot-matrix"

vis-uni-bamberg/mv-vis

Introduction to Multivariate Data Visualization

Size: 4.35 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 0

ArkaB-DS/regressionProjectIITK

This is a group project for MTH416A: Regression Analysis at IIT Kanpur

Language: R - Size: 7.79 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1

maxxhvo/Modelling_Climate_Change_Via_Indicators

Statistical Modelling and Data Visualization of a Climate Change Dataset (January 1984 to December 2008 ) Sourced from Kaggle

Language: HTML - Size: 15.1 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

Trisha11r/Visual_Data_Analytics_Basics

Language: HTML - Size: 3.34 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

rohitrawat13396/Data-Visualization--Dimension-Reduction-Techniques

Dimension Reduction Techniques

Language: Python - Size: 68.6 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 3

SyncfusionExamples/Creating-a-Scatter-Chart-to-Explore-Ball-Sizes-and-Weights-Across-Different-Sports

This article demonstrates how to create a .NET MAUI scatter chart to display the dimensions and weights of balls used in various sports. Balls vary significantly across sports, each having unique sizes and weights, which can be effectively visualized using this chart.

Language: C# - Size: 533 KB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

sanjaycg486/interactive-data-visualization-coursework

Interactive Data Visualization Coursework (SS-2020).

Language: Python - Size: 88.2 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Kovenda/R-Shiny-App-to-predict-Factors-Affecting-Survival-of-CHD

R Shiny App to determine the factors that are most influential in patients’ survival of CHD. I created a Logistic Regression model in R using RStudio to predict the survival of CHD patients. Retrieved the data from the PHIS database using SQL & built tableau dashboards. The model predicted the survival of CHD with an AUC of over .90 and indicated that a higher EF % is a major factor.

Language: R - Size: 474 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0