https://github.com/jnrlouis/medical-data-visualiser

Visualization and calculations were made from medical examination data using matplotlib, seaborn, and pandas. The dataset values were collected during medical examinations.
https://github.com/jnrlouis/medical-data-visualiser

matplotlib-pyplot pandas-dataframe seaborn

Last synced: 21 days ago
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Visualization and calculations were made from medical examination data using matplotlib, seaborn, and pandas. The dataset values were collected during medical examinations.

• Host: GitHub
• URL: https://github.com/jnrlouis/medical-data-visualiser
• Owner: Jnrlouis
• Created: 2021-03-29T01:22:18.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2021-07-14T14:06:08.000Z (over 3 years ago)
• Last Synced: 2024-11-12T18:48:52.658Z (3 months ago)
• Topics: matplotlib-pyplot, pandas-dataframe, seaborn
• Language: Python
• Homepage:
• Size: 1020 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
### Medical Data Visualiser

In this project, we will visualize and make calculations from medical examination data using matplotlib, seaborn, and pandas. The dataset values were collected during medical examinations.

#### Data description

The rows in the dataset represent patients and the columns represent information like body measurements, results from various blood tests, and lifestyle choices. You will use the dataset to explore the relationship between cardiac disease, body measurements, blood markers, and lifestyle choices.

File name: medical_examination.csv

| Feature | Variable Type | Variable      | Value Type |

|:-------:|:------------:|:-------------:|:----------:|

| Age | Objective Feature | age | int (days) |

| Height | Objective Feature | height | int (cm) |

| Weight | Objective Feature | weight | float (kg) |

| Gender | Objective Feature | gender | categorical code |

| Systolic blood pressure | Examination Feature | ap_hi | int |

| Diastolic blood pressure | Examination Feature | ap_lo | int |

| Cholesterol | Examination Feature | cholesterol | 1: normal, 2: above normal, 3: well above normal |

| Glucose | Examination Feature | gluc | 1: normal, 2: above normal, 3: well above normal |

| Smoking | Subjective Feature | smoke | binary |

| Alcohol intake | Subjective Feature | alco | binary |

| Physical activity | Subjective Feature | active | binary |

| Presence or absence of cardiovascular disease | Target Variable | cardio | binary |