chenchends / tourism-data-analysis

The international travel & tourism sector is growring at a fast pace. The World Travel and Tourism Council (WTTC) report found that the travel & tourism industry generated 10.4 percent of all global economic growth. Tourism is not only a kind of leisure, it is also essential in a country's economy. In this analysis, I investigate the dynamic trend of evolvement in tourism sector and find the top tourist-sending countries and the countries that are most attractive to international tourists.

DATS6103-project3

This is a data mining project about world tourism analysis.

The international travel & tourism sector is growring at a fast pace. The World Travel and Tourism Council (WTTC) report found that the travel & tourism industry generated 10.4 percent of all global economic growth. Tourism is not only a kind of leisure, it is also essential in a country's economy. In this analysis, I investigate the dynamic trend of evolvement in tourism sector and find the top tourist-sending countries and the countries that are most attractive to international tourists.

Language

python

packages

pandas
numpy
plotly
plotly_express

Files

Excel
ipynb
html

Visualization link:

https://chenchends.github.io/Tourism-data-analysis/

Instruction

Put the excel and python code in the same folder

Need plotly account to run the code

Recommend use google chrome

Author: Chen Chen