Cervical cancer

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Size:98.4 kB
Formats:csv

This is dataset about cervical cancer occurrences. Cervical cancer is one the most frequent cancer diseases that occur to women. This dataset is showing some factors that might influence cervical ca...

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/core/cervical-cancer/
https://datahub.io/core/cervical-cancer/_r/-/README.md
https://datahub.io/core/cervical-cancer/_r/-/data/cervical-cancer.csv
https://datahub.io/core/cervical-cancer/_r/-/datapackage.json
Key Files

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datapackage.jsonmetadata & schema
https://datahub.io/core/cervical-cancer/_r/-/datapackage.json
README.mddocumentation
https://datahub.io/core/cervical-cancer/_r/-/README.md
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  1. 1. Fetch datapackage.json to inspect schema and resources
  2. 2. Download data resources listed in datapackage.json
  3. 3. Read README.md for full context

Data Files

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cervical-cancer

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About

Last updated
9 February 2026
Total rows
...
Format
CSV
File size
98.4 kB

About this dataset

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This is dataset about cervical cancer occurrences. Cervical cancer is one the most frequent cancer diseases that occur to women. This dataset is showing some factors that might influence cervical cancer.

Data

This dataset was found on UCI under the name Cervical cancer (Risk Factors) Data Set

The dataset was collected at 'Hospital Universitario de Caracas' in Caracas, Venezuela. The dataset comprises demographic information, habits, and historic medical records of 858 patients. Several patients decided not to answer some of the questions because of privacy concerns (missing values).

  • 835 instances
  • 36 attributes
  • Missing values: yes

Output data is located in directory called data

data/cervical-cancer.csv

Attributes are the same as they were in input data.

Preparation

To get our output data several things are done to input data:

  • missing values marked with "?" are replaced with ""(empty space)

Python scripts are located in directory scripts

scripts/main.py

License

Licensed under the Public Domain Dedication and License (assuming either no rights or public domain license in source data).