MIDAS Documentation

MIDAS is an exploratory data analysis tool that runs in your browser. Load CSV files, compute statistics, create graphs, and run regression models — all within the browser. Your data is never sent to external servers. Open MIDAS

Getting Started

• Basic Usage - Walk through basic operations with sample data

User Guide

Data Preparation

• Data Preparation and Import - Loading CSV/TSV files and automatic data type inference
• Datasets - Managing imported data and derived datasets created through SQL or other transformations
• Sample Datasets - Description of sample data included in MIDAS

Data Exploration

• Data Table - Viewing, filtering, and sorting data

Screen Layout

• Workspace and Layout Management - Managing multiple analysis tasks in parallel

Data Processing

• Column Type Conversion - Converting data types and handling errors
• Data Reshape - Converting between Wide and Long formats
• Dummy Coding - Converting categorical variables to dummy variables
• Data Processing with SQL - Transforming data using SQL

Data Visualization

• Creating Graphs - Histograms, scatter plots, bar charts, time series plots, pair plots, and more
• Advanced Graph Creation - Layer multiple graph types, add facets, and control scales using Grammar of Graphics
• Custom Graph Reference - Geometry/Statistics list

Statistical Analysis

• Basic Statistics - Mean, standard deviation, quantiles, and other summary statistics
• Two-Sample Test / Paired Test - t-tests and nonparametric tests (Mann-Whitney U, Wilcoxon signed-rank)
• Cross Tabulation - Pivot tables for categorical variables with chi-square test of independence
• Linear Regression - Using the Linear Regression tab
• Generalized Linear Model (GLM) - Logistic, Poisson, and other regression models for response variables with non-normal distributions
• Generalized Linear Mixed Model (GLMM) - Random intercept models for grouped data
• Survival Analysis - Kaplan-Meier and Cox regression

Organizing Analysis Results

• Reports - Saving graphs and statistical results together

Project Management

• Project Management - Managing datasets, reports, and models
• Project Overview - View and manage resources
• Project Lineage - Visualize dependencies
• Compare Projects - Compare project versions
• MDS Files - Saving, exporting, and signing project files
• Managing Signing Keys - Verifying MDS file signatures and managing trusted keys

Tutorials

Step-by-step walkthroughs using sample data.

• Kaplan-Meier Survival Curves with Heart Failure Data - Estimate survival curves and compare groups
• Grouped Binomial GLM with Dose-Response Data - Logistic regression for aggregated binomial data

Statistical Concepts

Background knowledge on the statistical methods used in MIDAS. Reference these pages when you want to deepen your understanding of analysis results.

• Data Types and Measurement Scales - Nominal, ordinal, interval, ratio scales and their impact on analysis
• OLS Fundamentals - Normal equations, Gauss-Markov theorem, VIF
• GLM Fundamentals - Exponential family, link functions, IRLS
• Hypothesis Testing Fundamentals - p-values, effect size, power, Type I/II errors, rank-based nonparametric tests
• Survival Analysis Fundamentals - Censoring, Kaplan-Meier, Cox proportional hazards model
• GLMM Fundamentals - Random effect models, REML, BLUP, ICC
• Glossary - Definitions of estimator, convergence, likelihood, deviance, and more

System Requirements

• Privacy and Security - Data processing, storage, external communication, and browser requirements
• PWA and Offline Use - Install as an app and work offline

Support

• Release Notes - New features and change history
• For questions or bug reports, contact contact@midas-app.org