Author: Denise Welsch

The Statsomat project and site (https://statsomat.com) were launched at the beginning of 2021 and have the goal of developing and maintaining open-source and web-based apps for automated data analysis. Special about the reports generated by the Statsomat apps is the annotated output and the human-readable interpretation in natural language. Most of the apps currently available deliver also a user-friendly code (R or Python) to reproduce the outputs. 

The Statsomat apps currently available are:

• Statsomat/EDAR, a Shiny app for Exploratory Data Analysis with R (launch the app or go to GitHub repo)  
  
• Statsomat/EDAPY, a Shiny app for Exploratory Data Analysis with Python (launch the app or go to GitHub repo)
  
• Statsomat/CORRANA, a Shiny app for correlation analyis with R (launch the app or go to GitHub repo) 
  
• Statsomat/PCA, a Shiny app for Principal Components Analysis with R (launch the app or go to GitHub repo)
  
• Statsomat/CFA, a Shiny app for Confirmatory Factor Analysis (launch the app or go to GitHub repo)
  
• Statsomat/Multicomp, a Shiny app for Multiple Comparison Procedures with a Control, with R (launch the app or go to GitHub repo) 
  
  The apps were designed especially for learners and applied researchers. Therefore the GUI of the apps strives a maximal automation with a minimal but sufficient user-interaction.
  
  If you need a quick help with your data analysis or with programming then check the Statsomat apps.