Dataset research report
Ionosphere research report
A reproducible data report with schema notes, generated chart evidence, suggested follow-up questions, and export-ready Helix queries.
Executive Summary
Ionosphere The Ionosphere dataset from the UCI ML repository. Census dataset including personal characteristic of a person, and their ionosphere threshold. Configurations and tasks Configuration Task Description ionosphere Binary classification Does the received signal indicate electrons in the ionosphere? Usage from datasets import load_dataset dataset = load_dataset("mstz/ionosphere")["train"]
Research Context
Ionosphere: 351 rows by 35 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.
Correlation of numeric columns
Pearson correlation between numeric columns.
Open and export this chartFollow-Up Queries
Preview Rows
| # | signal_0float | signal_1float | signal_2float | signal_3float | signal_4float | signal_5float | signal_6float | signal_7float |
|---|---|---|---|---|---|---|---|---|
| 1 | 1 | 0 | 0.9954 | -0.05889 | 0.8524 | 0.02306 | 0.834 | -0.3771 |
| 2 | 1 | 0 | 1 | -0.1883 | 0.9304 | -0.3616 | -0.1087 | -0.936 |
| 3 | 1 | 0 | 1 | -0.03365 | 1 | 0.00485 | 1 | -0.1206 |
| 4 | 1 | 0 | 1 | -0.4516 | 1 | 1 | 0.7122 | -1 |
| 5 | 1 | 0 | 1 | -0.02401 | 0.9414 | 0.06531 | 0.9211 | -0.2326 |
| 6 | 1 | 0 | 0.02337 | -0.00592 | -0.09924 | -0.1195 | -0.00763 | -0.1182 |
Data Dictionary
- signal_0 numeric
- signal_1 numeric
- signal_2 numeric
- signal_3 numeric
- signal_4 numeric
- signal_5 numeric
- signal_6 numeric
- signal_7 numeric
- signal_8 numeric
- signal_9 numeric
- signal_10 numeric
- signal_11 numeric
- signal_12 numeric
- signal_13 numeric
- signal_14 numeric
- signal_15 numeric
- signal_16 numeric
- signal_17 numeric
- signal_18 numeric
- signal_19 numeric
- signal_20 numeric
- signal_21 numeric
- signal_22 numeric
- signal_23 numeric
- signal_24 numeric
- signal_25 numeric
- signal_26 numeric
- signal_27 numeric
- signal_28 numeric
- signal_29 numeric
- signal_30 numeric
- signal_31 numeric
- signal_32 numeric
- signal_33 numeric
- class 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.