The CodeFreeML
DIRA: Data Integrated Rapid Analysis
DIRA helps users who are unfamiliar with R, SAS, Stata, Python, or other coding tools import data, prepare variables, run advanced analytics, compare weighted and unweighted results, and export professional outputs from one integrated web interface.
Import datasets from a local computer, call files stored on the server, or connect to database sources for scalable analysis.
Prepare categorical and numerical variables through structured merging, recoding, classification, and organized analysis criteria.
Run descriptive, pivot, stratified, and time-series analysis, including 31 time-series methods with plots and tables.
Download outputs or save tables, plots, files, and interactive HTML reports directly on the server.
DIRA provides a unified code-free analytics environment that helps organizations transform raw data into actionable insights through data preparation, validation, descriptive analysis, pivot reporting, stratified analysis, weighted analytics, time-series modeling, visualization, and professional reporting.
Use the Resources tab to switch between tutorials, sample datasets, and user guides. These resources help users learn importing, merging, classification, weighted analysis, pivot analysis, stratified analysis, descriptive analysis, and time-series reporting.
Import datasets from a local machine, server storage, or database source and prepare them for analysis.
Learn how to prepare categorical and numerical variables, merge fields, apply criteria, and run analytics modules.
Export downloadable files, save outputs to the server, and generate interactive HTML reports.
Add .sav sample files later for education, healthcare, business, and research training examples.
Coming Soon →Add SAS examples later for institutional research, advanced analytics, and professional training.
Coming Soon →Add CSV examples for business, healthcare, education, manufacturing, and data analytics workflows.
Coming Soon →Add a DIRA manual for data import, preparation, analysis setup, criteria, and report exporting.
Documentation →Explain how users move from upload to merging, analysis, validation, visualization, and export.
Workflow Help →Add real-world examples from education, healthcare, business, research, and data analytics.
Examples →DIRA combines import, preparation, validity criteria, pivot analysis, stratified analysis, descriptive analysis, time-series analysis, weighted and unweighted comparisons, plots, tables, downloads, server outputs, and interactive HTML reports.
Designed for researchers, managers, and practitioners who do not code in R, SAS, Stata, Python, or similar tools.
Users can import from a local machine, call datasets from the server, or connect to database sources.
Prepare categorical and numerical variables, merge multiple fields, classify values, and structure data for analysis.
Compare weighted and unweighted outputs across descriptive, pivot, stratified, and time-series analyses.
Apply institution-administered criteria to help evaluate validity and consistency of reported results.
Download outputs directly or save files and interactive HTML reports inside the server for later access.
Load datasets from local files, server folders, or databases.
Merge fields, classify values, and organize categorical and numerical variables.
Run descriptive, pivot, stratified, and time-series methods with criteria.
Generate plots, tables, CSV files, downloads, server outputs, and HTML reports.
Researchers, educators, and analytics professionals building code-free analytics solutions for practical decision-making.
Methodological development, statistical design, machine-learning logic, and applied analytics workflows.
Teaching-focused resources, tutorials, classroom examples, user guides, and learning materials.
Secure web interfaces, dashboard design, reporting systems, big-data readiness, and scalable deployment.
Questions, partnerships, support, tutorials, research collaboration, enterprise deployment, or institutional analytics.
Collaborate on education, healthcare, business, research analytics, and training initiatives.
Contact Team →Request help with dashboard access, data import, preparation, analysis, or report exporting.
Request Support →Discuss deployment options for institutional servers, Azure, AWS, Google Cloud, or private hosting.
Deployment Inquiry →
