Dataset research report
Post Operative research report
A reproducible data report with schema notes, generated chart evidence, suggested follow-up questions, and export-ready Helix queries.
Executive Summary
Post Operative The PostOperative dataset from the UCI repository. Should the patient be discharged from the hospital, go to the ground floor, or to the ICU? Configurations and tasks Configuration Task post_operative Multiclass classification. post_operative_binary Binary classification.
Research Context
Post Operative: 87 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 internal_temperature by is_surface_temperature_stable
Top is_surface_temperature_stable values ranked by summed internal_temperature.
Open and export this chartinternal_temperature vs surface_temperature
internal_temperature vs surface_temperature, coloured by is_surface_temperature_stable.
Open and export this chartDistribution of internal_temperature
Histogram of internal_temperature values.
Open and export this chartCorrelation of numeric columns
Pearson correlation between numeric columns.
Open and export this chartinternal_temperature by is_surface_temperature_stable
Spread of internal_temperature across is_surface_temperature_stable groups.
Open and export this chartFollow-Up Queries
- average internal_temperature by is_surface_temperature_stable
- top 10 is_surface_temperature_stable by total internal_temperature
- scatter internal_temperature vs surface_temperature coloured by is_surface_temperature_stable
- histogram of internal_temperature
- boxplot of internal_temperature by is_surface_temperature_stable
- correlation heatmap of all numeric columns
Preview Rows
| # | internal_temperatureinteger | surface_temperatureinteger | oxigen_saturationinteger | blood_pressureinteger | is_surface_temperature_stableboolean | is_internal_temperature_stableinteger | is_blood_pressure_stableinteger | perceived_comfortinteger |
|---|---|---|---|---|---|---|---|---|
| 1 | 1 | 0 | 1 | 1 | True | 2 | 2 | 15 |
| 2 | 1 | 2 | 1 | 2 | True | 2 | 2 | 10 |
| 3 | 2 | 0 | 1 | 2 | True | 2 | 1 | 10 |
| 4 | 1 | 0 | 0 | 2 | True | 0 | 1 | 15 |
| 5 | 1 | 1 | 1 | 2 | True | 2 | 2 | 10 |
| 6 | 2 | 0 | 0 | 1 | True | 2 | 0 | 15 |
Data Dictionary
- internal_temperature numeric
- surface_temperature numeric
- oxigen_saturation numeric
- blood_pressure numeric
- is_surface_temperature_stable bool
- is_internal_temperature_stable numeric
- is_blood_pressure_stable numeric
- perceived_comfort numeric
- decision 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.