Prepare and analyze taxation data using the Python Pandas library

Abstract

The article discusses the application of the PANDAS library as a method of machine learning for the processing, preparation and analysis of taxation data. Taxation data is a set of data obtained during forest inventory, collection of information about forest stands. One of the most common types of data in forest inventory is taxation data, on the basis of this data forest thematic maps are created, it is possible to predict economic activities in the forest. The large volume of accumulated forest inventory data allows us to study and analyze these data as "big data".