Understanding Measures of Centrality: A Deep Dive into Mean, Median, and Mode | HackerNoon
Briefly

from Hackernoon7 years ago
The mean provides a holistic view as it considers all data points, but it is highly sensitive to outliers which can skew its value significantly.
Hackernoonhttps://hackernoon.com/understanding-measures-of-centrality-a-deep-dive-into-mean-median-and-mode
The median is robust against outliers as it only takes into account the order of data points. It can be a better measure of central tendency in skewed distributions.
Hackernoonhttps://hackernoon.com/understanding-measures-of-centrality-a-deep-dive-into-mean-median-and-mode
The mode represents the most frequently occurring value in the dataset. While it may not always exist or may not be unique, it can offer valuable insights in categorical data.
Hackernoonhttps://hackernoon.com/understanding-measures-of-centrality-a-deep-dive-into-mean-median-and-mode
When analyzing data distribution, understanding and properly applying the mean, median, and mode is essential for drawing accurate insights and making informed decisions.
Hackernoonhttps://hackernoon.com/understanding-measures-of-centrality-a-deep-dive-into-mean-median-and-mode
Read at Hackernoon
#eda #data-analysis #central-tendency #mean #median #mode
[
|
]