Data Science
Data science calculators for feature scaling, outlier detection, A/B testing, cohort analysis, and clustering quality.
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A/B Test Calculator
Determine statistical significance of A/B test results. Calculate z-score, p-value, conversion lift, and whether your variant beats the control at your chosen confidence level.
Clustering Quality Score Calculator
Evaluate clustering quality using silhouette score, Calinski-Harabasz index, Davies-Bouldin index, and Dunn index from cluster distance metrics.
Cohort Analysis Calculator
Analyze user cohort retention over time. Calculate monthly retention rates, churn rates, estimated customer lifetime value (LTV), and total cohort revenue.
Confusion Matrix Analyzer
Analyze classification model performance from confusion matrix values. Calculate precision, recall, F1 score, MCC, accuracy, specificity, and more.
Data Imputation Calculator
Estimate missing data values using mean, median, mode, or linear interpolation imputation methods. Compare imputation accuracy against actual values.
Dimensionality Reduction Calculator
Determine how many principal components to retain based on eigenvalues and target explained variance. Includes scree plot data, Kaiser criterion, and cumulative variance analysis.
Feature Scaling Calculator
Scale raw feature values using min-max normalization, z-score standardization, robust scaling, and max-abs normalization for machine learning preprocessing.
Moving Average Calculator
Calculate Simple Moving Average (SMA), Exponential Moving Average (EMA), Cumulative Moving Average (CMA), and Weighted Moving Average from a series of data points.
Outlier Detection Calculator
Detect outliers using IQR bounds, z-score bounds, and modified z-score methods. Determine whether a data point is an outlier using configurable thresholds.
Time Series Decomposition Calculator
Decompose monthly time series data into trend, seasonal, and residual components using additive or multiplicative decomposition methods.
SMA & EMA
5-point simple and exponential moving average for a mini price series.