GitHub topics: violin-plots
g-insana/CMPlot.jl
Cloudy Mountain Plot function in Julia
Language: Julia - Size: 1.49 MB - Last synced at: 9 days ago - Pushed at: 3 months ago - Stars: 5 - Forks: 3
g-insana/cmplot.py
Cloudy Mountain Plot function in Python
Language: Python - Size: 2.12 MB - Last synced at: 17 days ago - Pushed at: 3 months ago - Stars: 5 - Forks: 0
mmzong/GEE_lifestyleEffectsOnHypertension
Generalized Estimating Equations (GEE), Quasi-likelihood under the Independence Model Criterion (QIC), Longitudinal data, Embedded box plots within violin plots with hypertension risk categories, spaghetti plots, aggregate line plots, histograms, faceted-area plots, box and jitter plots. Investigating the impact of lifestyle on health.
Size: 12.6 MB - Last synced at: 20 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
SiddhuSiddharth/Hospital-Bill-Analysis
Cox box normalization, structural equation modelling, data visualization: violin plots, heatmap, top 20 graphs, summary using dataprep
Language: Jupyter Notebook - Size: 5.08 MB - Last synced at: 10 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
bhattbhavesh91/violin-plot-seaborn
A simple example on creating violin plots using Seaborn library in Python
Language: Jupyter Notebook - Size: 98.6 KB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0
JRigh/KNN-Boxplots-Violinplots
Missing values imputation using KNN and visualization with Boxplots and Violin plots in R
Language: R - Size: 1.11 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
reactjser/echarts-violin-plot
使用 echarts 实现的小提琴图
Language: JavaScript - Size: 3.37 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1
milescsmith/ViolinEnsemble
Create violin plots of gene expression for multiple genes
Language: R - Size: 345 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0
somjit101/Data_Science-EDA
A collection of useful implementations to perform EDA on a new dataset in order to understand preliminary patterns in the dataset and gain a high-level grasp of the dataset using plots and visualizations.
Language: Jupyter Notebook - Size: 786 KB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0
Develop-Packt/Simplifying-Visualizations-Using-Seaborn
Learn how to create visually appealing and insightful plots efficiently using Seaborn.
Language: Jupyter Notebook - Size: 2.78 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 1
