How to identify anomalies?

In this section, the best explainable visualisations to identify anomalies are displayed. Anomalies are deviations or irregularities in data patterns that stand out from the expected or normal behavior. This section will help you to early detect irregularities by minimising their impact before they escalate. Anomalies can manifest in diverse ways, including outliers, spikes, unexpected trends, and instances of missing data.



A scatterplot is a visual representation of data points on a two-dimensional plane, with each point indicating the values of two variables. It is used to identify relationships, trends or patterns between the variables, making it a visual way to assess the strength and direction of the relationship between variables and a valuable tool for exploring correlations and outliers in datasets.