{"repo":"stefanpietrusky/ASCVIT","free":true,"listed":false,"github":"https://github.com/stefanpietrusky/ASCVIT","clone":"git clone https://github.com/stefanpietrusky/ASCVIT.git","description":"Repository for the article in the online magazine Towards Data Science.","language":"Python","stars":12,"topics":["data","data-science","data-visualization","education","flask-application","llm","ollama","plotly","python"],"license":"Apache-2.0","category":"ai-agents","readme_excerpt":"ASCVIT V3 APP Automatic Statistical Calculation, Visualization, and Interpretation Tool This repository, developed by Stefan Pietrusky, is based on the article published at Towards Data Science [[1]](https://medium.com/towards-data-science/ascvit-v1-automatic-statistical-calculation-visualization-and-interpretation-tool-aa910001a3a7). In this article, I discuss the development of a first version (V1) of a local app that can be used to automatically apply various statistical methods to any datasets. The enhanced version of ASCVIT (V1.5) now includes automatic interpretation of all generated visualisations [appv1.5.py]. The latest version of ASCVIT is now available [appv2.py]. Streamlit is no longer used in this version. The app is completely based on customizable HTML, CSS and JS. An LLM defined via the code is no longer used, but the models installed locally via Ollama can be selected as required. The navigation has been adapted and all data visualizations are now interactive through Plotly. ASCVIT can be used in social work, specifically in associations and organizations that collect a wide range of data and can use the tool to evaluate it in order to better understand financial needs [[2]](https://www.pedocs.de/frontdoor.php?source opus=33234). This is an open source project for educational and research purposes. ASCVIT V3 expands the tool with greater statistical coverage, more automation, and additional guidance on what is possible. The data overview no longer provides ju","default_branch":null,"files":null,"tree":[],"storefront":"/r/stefanpietrusky","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/stefanpietrusky/ASCVIT/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}