data-analytics — Codex plugin for data analysis
Analyze product and business metrics, check data quality, and turn findings into reports, charts, or dashboards. Useful when a decision needs evidence from data.
Open on GitHubWhat data-analytics does
Ask the plugin to investigate a metric change, shape a KPI framework, estimate a market opportunity, or assess a table’s quality. It can produce a report, visualization, or reproducible notebook, and distinguish supported findings from open questions.
Analysis can draw on connected warehouses, BI and product analytics tools, documents, and chats. Integrations include BigQuery, Snowflake, Mixpanel, and Metabase. You can also provide a spreadsheet, uploaded file, query output, or schema description. When a source is not connected, supply the relevant material directly.
What it helps with
- trace a drop in weekly active users
- define KPIs for a new product area
- check a table before using it for retention analysis
- report the main drivers of growth
- create a dashboard for activation and conversion
Example prompts for the agent
- Investigate the fall in weekly active users and separate verified causes from open questions.
- Draft KPIs for this new product area and identify what needs validation.
- Check whether this table is suitable for a retention analysis.
Questions about data-analytics
How do I install data-analytics in Codex?
In ChatGPT, start by mentioning @Data Analytics and describing your task. Provide the data or choose a connected source for the analysis.
What does data-analytics do?
It helps examine product and business metrics, assess data quality, and turn findings into reports, charts, dashboards, or notebooks.
Which data sources can I use?
Connected options include BigQuery, Snowflake, Mixpanel, and Metabase. You can also provide a spreadsheet, file, query output, or schema description.
