https://github.com/anistaluqdar/daadvisor

Using web scraping techniques, I extracted data from DAAD international course website and performed data analysis and visualization to discover useful insights and patterns.
https://github.com/anistaluqdar/daadvisor

python selenium tableau visualization

Last synced: 2 months ago
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Using web scraping techniques, I extracted data from DAAD international course website and performed data analysis and visualization to discover useful insights and patterns.

• Host: GitHub
• URL: https://github.com/anistaluqdar/daadvisor
• Owner: AnisTaluqdar
• License: mit
• Created: 2023-11-23T13:46:45.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-01-01T18:36:40.000Z (over 2 years ago)
• Last Synced: 2025-06-03T14:53:35.797Z (about 1 year ago)
• Topics: python, selenium, tableau, visualization
• Language: Jupyter Notebook
• Homepage: https://public.tableau.com/views/DAADvisor/Dashboard3?:language=en-US&publish=yes&:display_count=n&:origin=viz_share_link
• Size: 79.5 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# DAADvisor

In this project, I collected data from daad.de through web scraping techniques and utilized it to create visualizations that offer valuable insights. The aim is to facilitate easier access to information on this site for international students seeking relevant details.

## Dashboard 1

![alt text](screenshot/sheet1.png)

![alt text](screenshot/sheet2.png)

![alt text](screenshot/sheet3.png)

![alt text](screenshot/sheet4.png)

![alt text](screenshot/sheet5.png)

![alt text](screenshot/sheet6.png)

![alt text](screenshot/sheet7.png)

![alt text](screenshot/sheet8.png)

![alt text](screenshot/sheet9.png)

## Dashboard 2

You can visit the public dashboard [here](https://public.tableau.com/views/DAADvisor/Dashboard3?:language=en-US&:display_count=n&:origin=viz_share_link). 

## Findings and Observations from the [Dashboard](https://public.tableau.com/views/DAADvisor/Dashboard3?:language=en-US&:display_count=n&:origin=viz_share_link)

# Build From Sources and Run the Selenium Scraper

1. Clone the repo

~~~bash

git clone https://github.com/AnisTaluqdar/DAADvisor.git

~~~

2. Initialize and activate virtual environment (for linux)

~~~bash

python -m venv venv

cd venv

bin/activate 

~~~

3. Install dependencies

~~~bash

python -m pip install -r requirements.txt

~~~

4. Run for scrap the data from website

~~~bash

python Daad_Scraper/main.py

~~~

5. Run for data preprocessing

~~~bash

python Daad_Scraper/data_preprocessing.py

~~~