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Jun 26, 2024 · Outliers: those data points that can throw off statistical models, mislead forecasts, and disrupt decision-making processes. This article is the second of a three-part series dedicated to the identification and management of outliers in time-series data.
Jun 13, 2024 · Learning techniques to detect outliers: boxplots, Z-score method, interquartile range (IQR) method; Strategies to handle outliers: trimming/removing, quantile-based flooring and capping, mean/median imputation; Visualizing and evaluating the data after treating outliers for improved analysis and decision-making; References. Z-score for Outlier ...
Jun 28, 2024 · Outliers are data points that fall far outside the normal expected range of values in a dataset. They can occur due to various reasons, such as measurement errors, natural variability, or unique circumstances.
6 days ago · To find outliers in a dataset, we need to compute the quartiles and find the first and the third quartiles. Then, we need to compute the interquartile ranges on the dataset and verify if the data point is greater than or smaller than 1.5 * IQR. So, if we take our custom dataset: We can calculate the quartiles and the iqr using either the np ...
Jun 17, 2024 · How to Find Outliers in Excel. This guide will walk you through the step-by-step process of identifying outliers in Excel. We’ll cover everything from setting up your data to using Excel’s built-in functions and statistical tools to find those pesky outliers.
Jun 25, 2024 · Sample data for illustrative purposes, highlighting outliers. Most of the time, outliers will not impact your analysis. However, in certain situations, outliers can significantly distort outcomes. We are here to provide you with a clear and concise way to treat outliers.
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Jun 17, 2024 · Outlier detection is a process of identifying observations or data points that significantly deviate from the majority of the data. These observations are often referred to as outliers because they “lie outside” the typical pattern or distribution of the data.
