Data exploration
Data exploration: An introduction for data analysts Data exploration is the foundational phase of data analysis, where you familiarize yourself with your dataset. It's about understanding its structure, identifying potential issues, and beginning to formulate questions for deeper investigation. Data exploration encompasses a diverse range of activities, each designed to reveal different aspects of your dataset. These activities can be broadly categorized into three core areas: understanding your data, uncovering relationships, and formulating hypotheses. Understanding your data This phase involves getting familiar with the individual variables and their characteristics within your dataset. The first step is to identify the types of variables you're working with. Are they numerical (continuous or discrete) or categorical (nominal or ordinal)? Understanding the nature of your variables is fundamental for choosing appropriate analysis techniques and visualizations. Next, you'l