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Dataset research report

Fertility research report

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

storageHf descriptionmstz--fertility.parquet view_list99 rows

Executive Summary

Fertility The Fertility dataset from the UCI ML repository. Classify fertility abnormalities of patients. Configurations and tasks Configuration Task Description encoding Encoding dictionary fertility Binary classification Does the patient have fertility issues? Usage from datasets import load_dataset dataset = load_dataset("mstz/fertility", "fertility")["train"] Features Feature Type season_of_sampling… See the full description on the dataset page: https://huggingface.co/datasets/mstz/fertility.

Finding 1The dataset has 99 rows available in the catalog.
Finding 2The catalog exposes 10 documented or inferred columns.
Finding 3Helix has 6 ready query prompts for this dataset.
Finding 4This report includes 5 generated chart views.

Research Context

Fertility: 99 rows by 10 columns. These exploratory charts are generated automatically from the data - open the dataset in Helix to ask your own questions.

Data Profile

Rows99
Columns10
Numeric cols4
Categorical cols6

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

# season_of_samplingtext age_at_time_of_samplinginteger has_had_childhood_diseasesboolean has_had_serious_traumaboolean has_had_surgical_interventionsboolean has_had_high_fevers_in_the_past_yeartext frequency_of_alcohol_consumptionfloat smoking_frequencytext
1 spring34TrueFalseTruemore than three months ago0.8daily
2 spring27TrueFalseFalsemore than three months ago1never
3 spring31FalseTrueTruemore than three months ago1never
4 spring30TrueTrueFalsemore than three months ago0.8never
5 spring30TrueFalseTruemore than three months ago0.8occasionally
6 spring30FalseFalseFalseless than three months ago0.8never

Data Dictionary

  • season_of_sampling categorical
  • age_at_time_of_sampling datetime
  • has_had_childhood_diseases bool
  • has_had_serious_trauma bool
  • has_had_surgical_interventions bool
  • has_had_high_fevers_in_the_past_year datetime
  • frequency_of_alcohol_consumption numeric
  • smoking_frequency categorical
  • number_of_sitting_hours_per_day datetime
  • has_fertility_issues 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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