Dataset research report
Fish research report
A reproducible data report with schema notes, generated chart evidence, suggested follow-up questions, and export-ready Helix queries.
Executive Summary
Dataset Summary Dataset recording various measurements of 7 different species of fish at a fish market. Predictive models can be used to predict weight, species, etc. Feature Descriptions Species - Species name of fish Weight - Weight of fish in grams Length1 - Vertical length in cm Length2 - Diagonal length in cm Length3 - Cross length in cm Height - Height in cm Width - Width in cm Acknowledgments Dataset created by Aung Pyae, and found on… See the full description on the dataset page: https://huggingface.co/datasets/scikit-learn/Fish.
Research Context
Fish: 159 rows by 7 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 Weight by Species
Top Species values ranked by summed Weight.
Open and export this chartCorrelation of numeric columns
Pearson correlation between numeric columns.
Open and export this chartFollow-Up Queries
Preview Rows
| # | Speciestext | Weightfloat | Length1float | Length2float | Length3float | Heightfloat | Widthfloat |
|---|---|---|---|---|---|---|---|
| 1 | Bream | 242 | 23.2 | 25.4 | 30 | 11.52 | 4.02 |
| 2 | Bream | 290 | 24 | 26.3 | 31.2 | 12.48 | 4.306 |
| 3 | Bream | 340 | 23.9 | 26.5 | 31.1 | 12.38 | 4.696 |
| 4 | Bream | 363 | 26.3 | 29 | 33.5 | 12.73 | 4.455 |
| 5 | Bream | 430 | 26.5 | 29 | 34 | 12.44 | 5.134 |
| 6 | Bream | 450 | 26.8 | 29.7 | 34.7 | 13.6 | 4.927 |
Data Dictionary
- Species categorical
- Weight numeric
- Length1 numeric
- Length2 numeric
- Length3 numeric
- Height numeric
- Width numeric
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.