Haberman
Hugging FaceHaberman The Haberman dataset from the UCI ML repository. Has the patient survived surgery? Configurations and tasks Configuration Task Description sruvival Binary classification Has the patient survived surgery? Usage from datasets import load_dataset dataset = load_dataset("mstz/haberman", "survival")["train"]
Ask a question about this data
Type any question in plain English — Helix builds the chart with AI. Sign in to run it and save your charts.
Data preview
306 rows · 4 columns · showing first 12| # | age integer | year_of_operation integer | number_of_axillary_nodes integer | has_survived_5_years integer |
|---|---|---|---|---|
| 1 | 30 | 1964 | 1 | 1 |
| 2 | 30 | 1962 | 3 | 1 |
| 3 | 30 | 1965 | 0 | 1 |
| 4 | 31 | 1959 | 2 | 1 |
| 5 | 31 | 1965 | 4 | 1 |
| 6 | 33 | 1958 | 10 | 1 |
| 7 | 33 | 1960 | 0 | 1 |
| 8 | 34 | 1959 | 0 | 0 |
| 9 | 34 | 1966 | 9 | 0 |
| 10 | 34 | 1958 | 30 | 1 |
| 11 | 34 | 1960 | 1 | 1 |
| 12 | 34 | 1961 | 10 | 1 |
Auto-generated charts
Haberman: 306 rows by 4 columns. These exploratory charts are generated automatically from the data - open the dataset in Helix to ask your own questions.
Rows306
Columns4
Numeric cols4
Charts
age vs year_of_operation
Relationship between age and year_of_operation.
Distribution of age
Histogram of age values.
Correlation of numeric columns
Pearson correlation between numeric columns.
Interesting queries to try
Columns
- age numeric
- year_of_operation datetime
- number_of_axillary_nodes numeric
- has_survived_5_years datetime