Interactive Outlier Detector

Visualize and identify outliers in your data using an interactive scatter plot. Simply enter your X and Y data points to get started.

Enter Your Data

Input your data points as comma-separated values for both X and Y axes.

X-axis Data

Y-axis Data

Outlier Visualization

Detected Outliers

No outliers detected in the provided dataset based on the current threshold.

About Outlier Detection

Outliers are data points that significantly deviate from the general pattern of a dataset. In a scatter plot, these points lie far away from the main cluster of data. Identifying outliers is crucial in data analysis as they can indicate errors in data collection, novelties, or important anomalies. This tool uses the standard deviation method to detect outliers, highlighting points that are more than 2 standard deviations away from the mean in either the X or Y direction. Visualizing outliers helps in understanding data distribution and making informed decisions about data processing and analysis.