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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.
| 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 |
install.packages("DrData")# install.packages("remotes")
remotes::install_github("mohsenmehdinia/DrData")library(DrData)
run_app()Load the built-in iris or mtcars dataset
from the Data Import tab to explore immediately — no
data preparation needed.
Data Import → Preprocessing → EDA → Regression / Classification / ClusteringMIT © 2026 Mohsen Mehdinia
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.