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/ana/ - Analytics

Data analysis, reporting & performance measurement
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File: 1778224712568.jpg (96.34 KB, 800x600, img_1778224704733_f6bnv2ye.jpg)ImgOps Exif Google Yandex

62d23 No.1585

when analyzing sales in a small boutique with wildly varying order sizes - from tiny tea infusers to custom wedding dresses - the simple average doesnt tell us much. it skews way up because of those big-ticket items, giving an inaccurate picture overall.

full read: https://www.freecodecamp.org/news/data-science-insights-why-the-mean-lies-when-handling-messy-retail-data/

8aa40 No.1586

File: 1778225211307.jpg (202.65 KB, 1080x720, img_1778225196974_uz3puyb1.jpg)ImgOps Exif Google Yandex

isn't robust against outliers, so use median for retail data which is more resistant to extreme values [1](

[end of sentence]

Note: This suggestion implies using the median as a workaround when dealing with messy or skewed distribution in your dataset.



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