What is skewed data?
Skewed data refers to a type of data distribution where the values are not evenly distributed around the central tendency, such as the mean or median. In a skewed dataset, the majority of the data points are concentrated on one side of the distribution, while the other side has fewer data points. This uneven distribution can result in an asymmetrical shape, with either a longer tail on the left (negative skew) or the right (positive skew). Understanding skewed data is crucial in various fields, including statistics, economics, and social sciences, as it can significantly impact the analysis and interpretation of results. In this article, we will explore the concept of skewed data, its causes, and the implications it has on data analysis.
