Chart.js Box Plots and Violin Plot Charts

Development version of vioplot R package (CRAN maintainer)

The project aims to perform various visualizations and provide various insights from the considered Indian automobile dataset by performing data analysis that utilizing machine learning algorithms in R programming language.

In this data set we have perform classification or clustering and predict the intention of the Online Customers Purchasing Intention. The data set was formed so that each session would belong to a different user in a 1-year period to avoid any tendency to a specific campaign, special day, user profile, or period.

A simple workaround to produce violin plot with highcharts.js

A development version of the vioplot R package. This has been migrated to "vioplot" as version 0.3.

The objective of this work is to investigate factors affecting borrower rate and loan amount.

Employed hyper-parameter tuning (Gridsearch CV) and ensemble methods (Voting Classifier) to combine the results of the best models. Data Cleaning and Exploration using Pandas. Stratified Cross Validation to model and validate the training data

A simple example on creating violin plots using Seaborn library in Python

📓 Visualization and training a basic ML model on the Iris dataset

📊 Upload CSV/Excel files to generate boxplots, run ANOVA, and auto-calculate Tukey HSD — no coding needed.

EDA - Pre processing | Feature Engineering

Strip Plot, Grouping with Strip Plot, Swarm Plot, Box and Violin Plot, placing plots together, Combining the plots, Joint Plot, Density Plot, Pair Plot

Python EDA and Visualization Using , Matplotlib, Seaborn,Plotly and Bokeh. Map visualization using Folium

Visualization using Matplotlib and Seaborn

📘 Ejemplos de gráficos con R

Exploratory Data Analysis on Haberman Dataset

A collection of Jupyter Notebook exercises covering key statistical concepts for Data Science, featuring interactive visualizations and real-world datasets.

Used libraries and functions as follows: