Description: Univariate visualization is a data visualization technique that focuses on the analysis and graphical representation of a single variable. Its main objective is to facilitate the understanding of the distribution, trend, and characteristics of that specific variable, allowing analysts to identify patterns, anomalies, and statistical summaries effectively. This form of visualization is fundamental in exploratory data analysis, as it provides a solid foundation for informed decision-making. The most common graphical representations in univariate visualization include histograms, box plots, bar charts, and line graphs. Each of these methods offers a unique perspective on the variable in question, highlighting aspects such as frequency, median, quartiles, and outliers. Univariate visualization is especially relevant in fields such as statistics, data science, and research, where clarity and precision in data presentation are essential for interpretation and analysis. In summary, univariate visualization is a powerful tool that allows analysts and data scientists to explore and communicate information about a single variable clearly and effectively.
