InTowards AIbyDebasish Das·4d agoStatistics in Data Science (Part 1): Descriptive StatisticsDescriptive statistics is the branch of statistics focused on summarizing, organizing, and presenting raw data so it becomes easy to…
Nishtha kukreti·Oct 9Interquartile Range (IQR): The Simple Outlier Rule Behind Every BoxplotPart 3 of the Anomaly Detection series
KoshurAI·Mar 10Outlier Anatomy 101: Why Your Model is Bleeding Accuracy (And How to Fix It in Python)Stop deleting outliers blindly. You might be killing your best data points.
Lana Bojanić·Sep 28, 2025Table 1 median rangeI am in love with the package table1 since Idiscovered it, as it streamlines descriptives to the level of Stata, but in my beloved R…
Pravin More·Sep 2, 2025Outlier Detection with the IQR Method: A Complete GuideDealing with outliers is a crucial step in data preprocessing. Extreme values can distort statistical insights, degrade model performance…
Jalpesh Vasa·Jul 28, 2025Unlocking the Story Behind Numbers: A Deep Dive into Box Plots Using Age DataEver wondered how to make sense of a bunch of numbers at a glance? If you’ve ever found yourself staring at a list of values thinking…
Zeynep Özdemir·Jul 17, 2025Aykırı Değerlerin İstatistiksel Tespiti: IQR YöntemiVeri bilimi ve istatistiksel analiz süreçlerinde aykırı değerler, bir veri kümesindeki genel desenin dışına çıkan, beklenmedik şekilde…
Tahsin Bekir YAKTU·Jan 28, 2025IQR (Interquartile Range/ Çeyrekler Açığı)Verilerimizde bulunan aykırı (outlier) değerler, yapılan tüm çalışmanın boşa gitmesine, anlamsızlaşmasına veya daha kötüsü tamamen yanlış…
InDevOps.devbyPatwariraghottam·Jun 20, 2024Z-Scores vs. Box Plots: The Quirky Quest to Unearth Outliers in Statistical WonderlandUnderstanding Outliers and Their Critical Role in Data Analysis