Dataset research report
Blood research report
A reproducible data report with schema notes, generated chart evidence, suggested follow-up questions, and export-ready Helix queries.
Executive Summary
Blood The Blood Transfusion dataset from the UCI ML repository. Census dataset including personal characteristic of a person, and their income threshold. Configurations and tasks Configuration Task Description blood Binary classification Has the person donated blood in the past month? Usage from datasets import load_dataset dataset = load_dataset("mstz/blood")["train"]
Research Context
Blood: 500 rows by 4 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.
months_since_last_donation vs total_donation
Relationship between months_since_last_donation and total_donation.
Open and export this chartDistribution of months_since_last_donation
Histogram of months_since_last_donation values.
Open and export this chartCorrelation of numeric columns
Pearson correlation between numeric columns.
Open and export this chartFollow-Up Queries
Preview Rows
| # | months_since_last_donationinteger | total_donationinteger | total_blood_donated_in_ccinteger | has_donated_last_monthinteger |
|---|---|---|---|---|
| 1 | 2 | 50 | 12500 | 1 |
| 2 | 0 | 13 | 3250 | 1 |
| 3 | 1 | 16 | 4000 | 1 |
| 4 | 2 | 20 | 5000 | 1 |
| 5 | 1 | 24 | 6000 | 0 |
| 6 | 4 | 4 | 1000 | 0 |
Data Dictionary
- months_since_last_donation datetime
- total_donation numeric
- total_blood_donated_in_cc numeric
- has_donated_last_month datetime
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.