Find patterns and quality issues in your data.
What it does
Examines datasets to produce data-quality findings, statistical summaries, visualizations, and hypotheses for further investigation.
When to use it
Use when starting dataset analysis, understanding data before modeling, identifying data-quality issues, or generating hypotheses.
How to use it
Give it a dataset; it returns data-quality findings, statistical summaries, charts, notable patterns, and hypotheses.
What you provide
- Your files
What you need · 5
The implementation uses Python; no version is specified.
The Python implementation imports pandas for loading and analyzing tabular data.
The Python implementation imports numpy and uses it to select numeric data.
The Python implementation imports matplotlib for plotting.
Access · 0
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