Dataset research report
Magic research report
A reproducible data report with schema notes, generated chart evidence, suggested follow-up questions, and export-ready Helix queries.
Executive Summary
Magic The Magic dataset from the UCI ML repository. Configurations and tasks Configuration Task Description magic Binary classification Classify the person's magic as over or under the threshold. Usage from datasets import load_dataset dataset = load_dataset("mstz/magic")["train"]
Research Context
Magic: 500 rows by 11 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.
major_axis_length vs minor_axis_length
Relationship between major_axis_length and minor_axis_length.
Open and export this chartDistribution of major_axis_length
Histogram of major_axis_length values.
Open and export this chartCorrelation of numeric columns
Pearson correlation between numeric columns.
Open and export this chartFollow-Up Queries
Preview Rows
| # | major_axis_lengthfloat | minor_axis_lengthfloat | log_of_sum_of_contentfloat | ratio_of_sum_of_highest_pixels_and_sizefloat | ratio_of_highest_pixel_and_sizefloat | projected_distance_highest_to_center_pixelfloat | third_root_of_third_moment_along_major_axisfloat | third_root_of_third_moment_along_minor_axisfloat |
|---|---|---|---|---|---|---|---|---|
| 1 | 28.8 | 16 | 2.645 | 0.3918 | 0.1982 | 27.7 | 22.01 | -8.203 |
| 2 | 31.6 | 11.72 | 2.518 | 0.5303 | 0.3773 | 26.27 | 23.82 | -9.957 |
| 3 | 162.1 | 136 | 4.061 | 0.0374 | 0.0187 | 116.7 | -64.86 | -45.22 |
| 4 | 23.82 | 9.573 | 2.338 | 0.6147 | 0.3922 | 27.21 | -6.463 | -7.151 |
| 5 | 75.14 | 30.92 | 3.161 | 0.3168 | 0.1832 | -5.528 | 28.55 | 21.84 |
| 6 | 51.62 | 21.15 | 2.909 | 0.242 | 0.134 | 50.88 | 43.19 | 9.815 |
Data Dictionary
- major_axis_length numeric
- minor_axis_length numeric
- log_of_sum_of_content numeric
- ratio_of_sum_of_highest_pixels_and_size numeric
- ratio_of_highest_pixel_and_size numeric
- projected_distance_highest_to_center_pixel numeric
- third_root_of_third_moment_along_major_axis numeric
- third_root_of_third_moment_along_minor_axis numeric
- angle_major_axis_to_origin numeric
- distance_origin_to_center 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.