Data Exploration is the initial step in the data analysis process, where analysts examine and visualize datasets to understand their structure, patterns, and relationships. This phase often involves summarizing key statistics, identifying missing values, and detecting outliers, which helps in forming hypotheses and guiding further analysis. During Data Exploration, various techniques such as data visualization and descriptive statistics are employed to gain insights. Tools like scatter plots, histograms, and box plots are commonly used to represent data visually, making it easier to spot trends and anomalies. This foundational work is crucial for informed decision-making in subsequent analysis stages.