Deskriptionsdaten

Deskriptionsdaten, also known as descriptive data, refers to the information collected that characterizes and summarizes a dataset. It provides a snapshot of the data's central tendencies, variability, and distribution, allowing for a better understanding of its key features. Common descriptive statistics include measures of central tendency such as the mean, median, and mode, which indicate the typical value within a dataset. Measures of variability, like the range, variance, and standard deviation, quantify the spread or dispersion of the data points. Additionally, descriptive data can include frequency distributions, percentiles, and quartiles, offering insights into how data points are distributed across different ranges. These metrics are crucial for initial data exploration, hypothesis generation, and identifying potential outliers or patterns before more advanced inferential statistical analysis is performed. Essentially, deskriptionsdaten answers the question of "what does the data look like?" rather than "why does it look that way?".