This dataset contains time-series data from the US since 2000 till 2010. How much US$ have been lost every year in tax evasion. Also, includes the Tax Revenue Percentage per country and the current tax rate per country for corporate, and average income.

Data

The data is sourced from

• https://en.wikipedia.org/wiki/List_of_countries_by_tax_rates
• https://en.wikipedia.org/wiki/List_of_countries_by_tax_revenue_to_GDP_ratio
• https://en.wikipedia.org/wiki/Tax_evasion_in_the_United_States

Extras

• The data is measured in Percentage ("%") and in US$ Billion.
• The tables further explanation on the headers.
• If data is "0", it means there no data on it.

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Preparation

Inside the "Process directory", there is a file called process.py which will scrape 3 tables from 3 different sources and clean it up to concrete values and put it into 3 csv files.

Requires:

1. Python
2. Visualstudio / Jupyter notebook / or any platform that works with python.

Necessary python libraries for this:

• bs4
• csv
• requests

Instructions:

• Download zipfile.
• Go to your terminal and use the following command pip install requirements.txt
• Open process.py script in jupyter notebook, python shell, VS code, or any preferred platform.
• Paste and run the code
• 3 CSV´s file will be saved in document where your terminal is at the moment.

CSV files

Click here

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Licence

This Data Package is made available under the Public Domain Dedication and License v1.0