DrData

DrData is a Shiny-based interactive platform for end-to-end data science workflows — designed for students and practitioners in data science and artificial intelligence.

Features

Module	What it does
Data Import	CSV, Excel (xlsx/xls), RDS, TXT; built-in example datasets (iris, mtcars, Titanic)
Preprocessing	Missing value imputation, duplicate removal, column/row dropping, scaling (z-score, min-max, log), one-hot encoding, outlier detection
EDA	8 interactive plot types; normality tests (Shapiro-Wilk, KS, Anderson-Darling, Jarque-Bera); Auto-EDA report
Regression	8 algorithms: Linear, Ridge, Lasso, Decision Tree, Random Forest, SVM, GBM, Neural Network; interaction terms; full diagnostic plots
Classification	8 algorithms: Logistic, Decision Tree, Random Forest, SVM, KNN, Naive Bayes, GBM, Neural Network; ROC curve; confusion matrix
Clustering	K-Means, Hierarchical, DBSCAN; elbow plot; silhouette score; cluster profiles

Installation

From CRAN (once accepted)

install.packages("DrData")

Development version

# install.packages("remotes")
remotes::install_github("mohsenmehdinia/DrData")

Quick Start

library(DrData)
run_app()

Load the built-in iris or mtcars dataset from the Data Import tab to explore immediately — no data preparation needed.

Workflow

Data Import → Preprocessing → EDA → Regression / Classification / Clustering