DataTistics.app
Making statistics & data analysis simple.
Making statistics & data analysis simple.
This page is designed to help you find out whether DataTistics.app is good and if it is the right choice for you.
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No-Code Statistical Analysis
Analyze datasets without writing statistical code.
Data Cleaning
Clean and prepare datasets before analysis.
Descriptive Statistics:
Calculate summaries and explore the main characteristics of your data.
Statistical Tests:
Run t-tests, ANOVA, chi-square tests, and correlation analyses.
Data Visualization:
Create charts and visualizations to explore and communicate your data.
PDF Reports:
Generate downloadable reports containing analysis results and visualizations.
DataTistics is currently used by individual students researchers educators and data analysts. We do not currently have public enterprise customers to list.
DataTistics puts data cleaning statistical analysis visualization and reporting into one simple workflow. You can work with your data without needing to write code.
DataTistics is made for people who want to analyze data without learning R or Python first. It is simple to use and the core tools are free to try.
It is mainly for students researchers educators and anyone who works with data but does not want to code. It can also be useful for people who are learning statistics.
I started DataTistics because statistical analysis can feel complicated when you have to learn programming just to work with your data. I wanted to build a simpler tool that guides people from their data to their results and reports.
DataTistics is built with Python and FastAPI on the backend with PostgreSQL for the database. It uses pandas NumPy SciPy scikit learn and statsmodels for data analysis. The frontend uses HTML CSS and vanilla JavaScript. We also use Matplotlib Plotly and Seaborn for visualizations and LLM for AI generated reports.
We have collected here some useful links to help you find out if DataTistics.app is good.
Check the traffic stats of DataTistics.app on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
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