Getting Started with Data Analysis in PostgreSQL: Basic Features

This article provides an introduction to preliminary data analysis using PostgreSQL, focusing on basic features of the dataset such as maximum, minimum, sum, average values, and percentile cutoff ranges. It also demonstrates how to divide data into different subgroups and obtain these values for each subgroup. The text includes prerequisites, systems, example datasets, and three options for obtaining the data: downloading a database dump file, using a Docker image with PostgreSQL preloaded with the preprocessed data, or starting from the raw CSV file and processing it yourself. Additionally, the article covers importing the dataset into PostgreSQL, preprocessing the data, and performing exploratory analysis of the data itself. The final section discusses aggregate functions, grouping operations, partitioning, and window functions in PostgreSQL.