Data Visualization: Data visualization involves presenting data in visual formats such as charts, graphs, maps, or infographics. This helps viewers quickly grasp patterns or trends that might not be easily apparent in raw data.
Statistical Analysis: Statistical analysis uses mathematical techniques to summarize and interpret data. It involves calculating measures such as averages, percentages, or correlations to uncover relationships or draw valid conclusions.
Qualitative Analysis: Qualitative analysis focuses on non-numerical data, such as interviews or observations. It aims to identify themes, patterns, or meaning within the gathered information.