Data exploration

Crucial step in the data analysis process that involves examining datasets to understand their main characteristics, often with the help of data visualization techniques. This process includes understanding the data structure, calculating summary statistics, cleaning the data, visualizing it, performing correlation analysis, and feature engineering to improve model performance. Data exploration is essential for analysts and data scientists to make informed decisions about data preprocessing, feature selection, and model building.

Data exploration was discovered on September 20th 2022 and it currently has a search volume of 4.4K with a growth of +376%.