https://github.com/teddyoweh/disease-data-webscrape-analysis

Scraped a table of disease & symptoms data from a website, and turned it to a dataframe, then extracted to a csv fie
https://github.com/teddyoweh/disease-data-webscrape-analysis

data-analytics data-science data-visualization webscraping

Last synced: about 1 month ago
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Scraped a table of disease & symptoms data from a website, and turned it to a dataframe, then extracted to a csv fie

• Host: GitHub
• URL: https://github.com/teddyoweh/disease-data-webscrape-analysis
• Owner: teddyoweh
• Created: 2022-07-02T02:24:39.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2022-07-02T03:09:38.000Z (over 2 years ago)
• Last Synced: 2023-03-04T00:49:53.732Z (almost 2 years ago)
• Topics: data-analytics, data-science, data-visualization, webscraping
• Language: Jupyter Notebook
• Homepage: https://people.dbmi.columbia.edu/~friedma/Projects/DiseaseSymptomKB/index.html
• Size: 882 KB
• Stars: 5
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Disease Data WebScrape Analysis

 

I was working on an NLP (Natural Language Processing) Disease Based on Symptoms Prediction Model, and needed a data source, so i used Python to scrape the relevant information from [A page on Columbia University Website ](https://people.dbmi.columbia.edu/~friedma/Projects/DiseaseSymptomKB/index.html) and turned it to a dataframe.

## Data Source

![webimg](./images/web.png)

## DataFrame / Result

![dataimg](./images/data.png)