MIDAS Documentation
MIDAS is an exploratory data analysis tool that runs in your browser. Open MIDAS
Getting Started
New to MIDAS? Start here.
- Basic Usage - Experience the basics with sample data
User Guide
Data Preparation
- Data Preparation and Import - Loading CSV files
- Datasets - Dataset types, cascade deletion, lazy evaluation, Materialized View
- 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 - Creating various graphs including histograms, scatter plots, bar charts, time series plots, pair plots, and lag plots
- Advanced Graph Creation - Flexible graph creation with Grammar of Graphics
- Custom Graph Reference - Geometry/Statistics list
Statistical Analysis
- Basic Statistics - Detailed usage of the Statistics tab
- Hypothesis Test - t-tests (independent two-sample and paired)
- Cross Tabulation - Aggregating categorical variables
- Linear Regression - Using the Linear Regression tab
- Generalized Linear Model (GLM) - Logistic regression, Poisson regression, and other regression models for non-normal response 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
Other
- Managing Signing Keys - Managing keys for MDS file signing and verification
- Release Notes - New features and change history
Tutorials
Learn analysis techniques with 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. For those who want to understand analysis results more deeply.
- 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
- Survival Analysis Fundamentals - Censoring, Kaplan-Meier, Cox proportional hazards model
- GLMM Fundamentals - Random effect models, REML, BLUP, ICC
Support
For questions or bug reports, contact contact@midas-app.org.