Dataset research report
Acute Inflammation research report
A reproducible data report with schema notes, generated chart evidence, suggested follow-up questions, and export-ready Helix queries.
Executive Summary
Acute Inflammation The Acute Inflammation dataset from the UCI ML repository. Predict whether the patient has an acute inflammation. Configurations and tasks Configuration Task Description inflammation Binary classification Does the patient have an acute inflammation? nephritis Binary classification Does the patient have a nephritic pelvis? bladder Binary classification Does the patient have bladder inflammation? nephritis Usage… See the full description on the dataset page: https://huggingface.co/datasets/mstz/acute_inflammation.
Research Context
Acute Inflammation: 120 rows by 9 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.
Total temperature by has_lumbar_pain
Top has_lumbar_pain values ranked by summed temperature.
Open and export this charttemperature vs has_acute_inflammation
temperature vs has_acute_inflammation, coloured by has_lumbar_pain.
Open and export this charttemperature by has_lumbar_pain
Spread of temperature across has_lumbar_pain groups.
Open and export this chartFollow-Up Queries
Preview Rows
| # | temperaturefloat | has_nauseaboolean | has_lumbar_painboolean | has_urine_pushingboolean | has_micturition_painsboolean | has_burnt_urethraboolean | has_inflammed_bladderboolean | has_nephritis_of_renal_pelvisboolean |
|---|---|---|---|---|---|---|---|---|
| 1 | 35 | False | False | True | False | False | False | False |
| 2 | 35 | False | False | False | True | True | True | True |
| 3 | 35 | False | False | True | False | False | False | False |
| 4 | 36 | False | False | False | True | True | True | True |
| 5 | 36 | False | False | True | False | False | False | False |
| 6 | 36 | False | False | True | False | False | False | False |
Data Dictionary
- temperature numeric
- has_nausea bool
- has_lumbar_pain bool
- has_urine_pushing bool
- has_micturition_pains bool
- has_burnt_urethra bool
- has_inflammed_bladder bool
- has_nephritis_of_renal_pelvis bool
- has_acute_inflammation 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.