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Dataset research report

Steel Plates research report

A reproducible data report with schema notes, generated chart evidence, suggested follow-up questions, and export-ready Helix queries.

storageHf descriptionmstz--steel-plates.parquet view_list500 rows

Executive Summary

Landsat The Steel Plates dataset from the UCI repository. Configurations and tasks Configuration Task Description steel_plates Multiclass classification. steel_plates_0 Binary classification. Is the input of class 0? steel_plates_1 Binary classification. Is the input of class 1? steel_plates_2 Binary classification. Is the input of class 2? steel_plates_3 Binary classification. Is the input of class 3? steel_plates_4 Binary classification. Is… See the full description on the dataset page: https://huggingface.co/datasets/mstz/steel_plates.

Finding 1The dataset has 500 rows available in the catalog.
Finding 2The catalog exposes 28 documented or inferred columns.
Finding 3Helix has 3 ready query prompts for this dataset.
Finding 4This report includes 3 generated chart views.

Research Context

Steel Plates: 500 rows by 28 columns. These exploratory charts are generated automatically from the data - open the dataset in Helix to ask your own questions.

Data Profile

Rows500
Columns28
Numeric cols17

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.

Follow-Up Queries

Preview Rows

# x_minimuminteger x_maximuminteger y_minimuminteger y_maximuminteger pixels_areasinteger x_perimeterinteger y_perimeterinteger sum_of_luminosityinteger
1 4250270900270944267174424220
2 64565125380792538108108103011397
3 82983515539131553931718197972
4 853860369370369415176134518996
5 12891306498078498335240960260246930
6 430441100250100337630208762357

Data Dictionary

  • x_minimum numeric
  • x_maximum numeric
  • y_minimum numeric
  • y_maximum numeric
  • pixels_areas numeric
  • x_perimeter numeric
  • y_perimeter numeric
  • sum_of_luminosity numeric
  • minimum_of_luminosity numeric
  • maximum_of_luminosity numeric
  • length_of_conveyer numeric
  • typeofsteel_a300 numeric
  • typeofsteel_a400 numeric
  • steel_plate_thickness numeric
  • edges_index numeric
  • empty_index numeric
  • square_index numeric
  • outside_x_index numeric
  • edges_x_index numeric
  • edges_y_index numeric
  • outside_global_index numeric
  • logofareas numeric
  • log_x_index numeric
  • log_y_index numeric
  • orientation_index numeric
  • luminosity_index numeric
  • sigmoidofareas 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.

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