官术网_书友最值得收藏!

Skewness

Skewness indicates whether the data is spread symmetrically or is concentrated on one side of the graph. There are three different types of skewness:

  • Positive skew
  • Negative skew
  • Zero skew

Correctly calculating the skew is quite complex, so we'll focus on understanding the skew, since Python and R have a way to calculate the skew for us correctly. As SQL Server is not a statistical tool, it does not have any built-in function for direct skewness calculation. But we can define the skewness based on the central tendency measures of mean and median:

  • If the mean > median, then you'll observe the positive skew.
  • If the mean < median, then you'll observe the negative skew.
  • If the mean = median, you have zero skew:

Skewness
主站蜘蛛池模板: 朝阳区| 鹤峰县| 岳池县| 隆林| 新沂市| 镇沅| 罗平县| 皮山县| 商南县| 金阳县| 延寿县| 皋兰县| 吉林市| 甘谷县| 平昌县| 普兰店市| 桂阳县| 巨鹿县| 海城市| 三门峡市| 偏关县| 蒙山县| 昌黎县| 洛宁县| 余庆县| 民勤县| 民乐县| 隆昌县| 绥化市| 盘锦市| 阜平县| 喀什市| 台东县| 麻城市| 洪雅县| 十堰市| 绥中县| 阿克陶县| 平定县| 黔西| 沾益县|