This projects consists of a Jupyter notebook containing code for a basic analysis of the alcohol sales and demography data in Russia. The different types of alcohol as well as regional differences are analyzed.
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Anaconda distribution:
- Python 3.9.7
- jupyter notebook 6.4.5
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Additonal packages:
- plotly 5.5.0
This project work is part of my online course on data science. I chose to find new datasets rather than to work with the suggested ones and since I am interested in Russian culture as well as cocktails :), I chose to take a look on the alcohol sales per capita in Russia over the years and use this for my analysis.
I am very much a beginner in data analysis and have created this notebook as one of my projects in an online course. Please don't take the conclusions I have made too seriously. If you have suggestions for improvement or insight into maybe some errors I've made, please feel free to let me know.
Data sets where chosen from kaggle.com: