stefanpietrusky/ASCVIT
Repository for the article in the online magazine Towards Data Science.
This tool helps social work professionals, researchers, and educators analyze diverse datasets to understand patterns and needs. It takes your raw data, automatically applies various statistical methods, generates interactive visualizations, and even suggests useful analyses based on data characteristics. The output provides clear statistical calculations, visual insights, and interpretations to inform decisions, especially regarding financial needs in social organizations.
Use this if you need to quickly evaluate social work data, like client demographics or program outcomes, and generate clear statistical reports and visualizations without needing deep statistical programming expertise.
Not ideal if you require highly specialized, custom statistical models or need to deploy analyses in a production environment with stringent performance requirements.
Stars
12
Forks
3
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 23, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/mlops/stefanpietrusky/ASCVIT"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
maciejkepa/ai-ml-in-practice
Repository for AI/ML in Practice series materials: real-world examples, notebooks, diagrams, and...
philippmoehl/ml-lifecycle
ML Lifecycle project
metriccoders/metriccoders_fullstack_ML_web_apps
This is the repository that contains all the details about the various full stack ML web apps...
Viraj97-SL/AI-ML-DS-Learning-Hub
Your definitive roadmap from zero to career-ready — for Data Scientists, ML Engineers & AI Engineers
dataaispark-spec/Snowflake-DataScience
Snowflake DataScience Realtime HandsOn Projects