Description: Univariate analysis refers to a statistical approach that involves the study of a single variable. This type of analysis is fundamental in descriptive statistics, as it allows for the summarization and description of the characteristics of a dataset through measures such as mean, median, mode, variance, and standard deviation. Through graphs like histograms, box plots, and bar charts, univariate analysis facilitates the visualization of data distribution, identifying patterns, trends, and potential anomalies. This approach is particularly useful in the early stages of data analysis, as it provides a basic understanding of the variable in question before moving on to more complex analyses involving multiple variables. The simplicity of univariate analysis makes it an accessible tool for researchers and analysts, allowing for quick interpretation of data and identification of areas that require deeper analysis. In the context of data visualization, univariate analysis can be easily implemented to create effective visualizations that help communicate findings clearly and concisely.
