The Statsomat

 

➲ Apps for automated data analysis and human-readable interpretation in natural language

➲ Designed especially for learners and applied researchers

➲ Upload your data and let the app crunch the statistics

➲ Download your data analysis report

➲ Interpretation in plain English included

➲ R or Python code to copy and paste included

➲ Free. No registration required

 

 

 

To the apps

 

Exploratory Data Analysis
(EDA, with R)

Descriptive Statistics

Exploratory data analysis report containing univariate descriptive statistics and graphics: Histograms, box-plots, bar-plots, pie-plots etc. for continuous and categorical variables with the R programming language. R Code included. 

Correlation Analysis
(with R)

Correlations

Unsure which correlation measure to use? Pearson, Spearman or even Distance Correlation? Ask this app. Pairwise correlation & association analysis for approximately continuous variables. Scatterplots, interpretation in plain English and R Code included. 

Confirmatory Factor Analysis
(with R)

Confirmatory Factor Analysis

Struggling with the interpretation of Confirmatory Factor Analysis (CFA)? Try this app. Single-group, first-order CFA for approximately continuous variables with the R package lavaan. Interpretation in plain English and R Code included. More...

Principal Components Analysis
(with R)

Principal Components Analysis

Struggling with the coding and interpretation of a Principal Components Analysis (PCA)? Try this app for approximately continuous variables. Interpretation in plain English by the FactoInvestigate package and R Code included. 

Exploratory Data Analysis
(EDA, with Python) 

Exploratory data analysis report containing univariate descriptive statistics and graphics: Histograms, box-plots, bar-plots, pie-plots etc. for continuous and categorical variables with the Python programming language. Python Code included. More...

Coming soon:

Principal Components Analysis (with Python)

Coming soon:

Multiple Comparison Procedures for AN(C)OVA (with R)

Your app for automated data analysis  interpretation could be placed here. Contact us if you want to contribute. 

 

 

About

Statsomat.com is a portal with the goal of developing, collecting and maintaining open-source and web-based apps for automated data analysis with a human-readable interpretation. The apps are a great help for applied researchers and Data Science learners all over the world. The strategy we follow is a maximal automation with a minimal, but sufficient user-interaction.

If you are an applied researcher or a Data Science learner unfamiliar with data analysis or programming, you can use the Statsomat apps directly in the browser to generate automated data analysis reports. Classic statistical data analysis and Machine Learning questions are handled by the apps in a similar way as by a human. The reports contain tables, graphics, an interpretation in plain English and the code to run the analysis by yourself. If you need a quick help with your data analysis or with programming, then check the Statsomat apps. You will be surprised.

 

Contributors

At present, Statsomat is a work in progress. The core contributor responsible for the overall design as well as authoring the content of the apps is ORCID iD iconDenise Welsch. In cooperation with the University of Applied Sciences Koblenz, Department of Mathematics and Technics, students develop apps and contribute to the Statsomat.

You are also welcomed to improve and extend the functionality of the apps. Automizing data analysis interpretation and contributing to Statsomat are fantastic ways to learn Data Science. If you want to contribute, take a look at the GitHub repositories which are currently public or contact us if you want to develop a completely new app for the Statsomat.

 

What do users say

 

 

Thank you for visiting Statsomat.com.
If you liked the apps then please rate us a star for your favorite app on GitHub or leave us a testimonial.
It will inspire us to keep going.