5 Best Practices: Data Exploration in Preparation for Data Modeling - Seguridad Mania.com - España y América Latina

Data exploration is the first step in data analysis and typically involves summarizing the main characteristics of a dataset. It is commonly conducted using visual analytics tools. Before a formal data analysis can be conducted, the analyst must know how many cases are in the dataset, what variables are included, how many missing observations there are and what general hypotheses the data is likely to support. An initial exploration of the dataset helps answer these questions by familiarizing analysts about the data with which they are working. Join Noam Engelberg as he walks you through the 5 best practices for Data Exploration in preparation for Data Modeling.