Analysis, SQL, dashboards, metrics and data quality. 6 reviewed prompts for data and analytics.
Reviews how values are missing in your dataset, recommends a handling method per column with reasons, and gives checks to confirm nothing was distorted. Use before analysis or modelling.
Analyzes a pasted dataset or data summary to surface patterns, outliers, likely drivers and data quality issues, then recommends specific charts and next actions. Use when you have a table and need to know what it says.
Traces where a table or column comes from and what depends on it across SQL scripts and stored procedures, and shows the impact of a change. Use before altering a table or when documenting a data flow.
Turns a business question and a description of your data into a step-by-step analysis plan covering sources, cleaning, methods, checks and how to present findings. Use before starting an analysis.
Recommends a suitable statistical approach for a question and dataset, explains it in plain language, lists assumptions to check and how to read the result. Use before analyzing survey, test or experiment data.
Reads an attached image, chart, screenshot or scanned document and returns what is visible, extracted values with confidence, an interpretation and open ambiguities. Use it when you need reliable data out of a picture.
