Dataset research report
Spect research report
A reproducible data report with schema notes, generated chart evidence, suggested follow-up questions, and export-ready Helix queries.
Executive Summary
Ozone The Ozone dataset from the UCI ML repository. Configurations and tasks Configuration Task Description spect Binary classification Is there an ozone layer? spectf Binary classification Is there an ozone layer? Usage from datasets import load_dataset dataset = load_dataset("mstz/spect", "spect")["train"]
Research Context
Spect: 80 rows by 23 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 is_emitted by feature_0
Top feature_0 values ranked by summed is_emitted.
Open and export this chartis_emitted by feature_0
Spread of is_emitted across feature_0 groups.
Open and export this chartFollow-Up Queries
Preview Rows
| # | feature_0boolean | feature_1boolean | feature_2boolean | feature_3boolean | feature_4boolean | feature_5boolean | feature_6boolean | feature_7boolean |
|---|---|---|---|---|---|---|---|---|
| 1 | False | False | False | True | False | False | False | True |
| 2 | False | False | True | True | False | False | False | True |
| 3 | True | False | True | False | True | False | False | True |
| 4 | False | False | False | False | False | False | False | False |
| 5 | False | False | False | False | False | False | False | True |
| 6 | False | False | False | True | False | False | False | False |
Data Dictionary
- feature_0 bool
- feature_1 bool
- feature_2 bool
- feature_3 bool
- feature_4 bool
- feature_5 bool
- feature_6 bool
- feature_7 bool
- feature_8 bool
- feature_9 bool
- feature_10 bool
- feature_11 bool
- feature_12 bool
- feature_13 bool
- feature_14 bool
- feature_15 bool
- feature_16 bool
- feature_17 bool
- feature_18 bool
- feature_19 bool
- feature_20 bool
- feature_21 bool
- is_emitted 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.