Dataset research report
Iris research report
A reproducible data report with schema notes, generated chart evidence, suggested follow-up questions, and export-ready Helix queries.
Executive Summary
Iris dataset, build charts and dashboards with AI GPT4 asistant and the iconic flower dataset
Research Context
Iris: 150 rows by 6 columns. These exploratory charts are generated automatically from the data - open the dataset in Helix to ask your own questions.
Data Profile
Chart Evidence
These views are generated from the dataset profile. Each chart is paired with a Helix query so it can be opened, adjusted, and exported.
Total sepal_length by species
Top species values ranked by summed sepal_length.
Open and export this chartsepal_length vs sepal_width
sepal_length vs sepal_width, coloured by species.
Open and export this chartCorrelation of numeric columns
Pearson correlation between numeric columns.
Open and export this chartsepal_length by species
Spread of sepal_length across species groups.
Open and export this chartFollow-Up Queries
Preview Rows
| # | sepal_lengthfloat | sepal_widthfloat | petal_lengthfloat | petal_widthfloat | speciestext | species_idinteger |
|---|---|---|---|---|---|---|
| 1 | 5.1 | 3.5 | 1.4 | 0.2 | setosa | 1 |
| 2 | 4.9 | 3 | 1.4 | 0.2 | setosa | 1 |
| 3 | 4.7 | 3.2 | 1.3 | 0.2 | setosa | 1 |
| 4 | 4.6 | 3.1 | 1.5 | 0.2 | setosa | 1 |
| 5 | 5 | 3.6 | 1.4 | 0.2 | setosa | 1 |
| 6 | 5.4 | 3.9 | 1.7 | 0.4 | setosa | 1 |
Method And Limits
- Load the catalog entry and preview rows from the processed dataset file.
- Infer numeric, categorical, time, and location fields from real columns.
- Generate a small set of defensive Plotly chart specifications from that profile.
- Expose each chart idea as a query link so the report can be rerun or exported in Helix.
This report is intentionally reproducible. It uses the local catalog metadata and generated chart specifications rather than claiming external conclusions beyond the dataset.