Statistical Data Engine

This engine calculates descriptive statistics to summarize the properties of your dataset.

• Mean (Average): The sum of all numbers divided by the count. Highly affected by extreme outliers.
• Median: The middle number when the data is sorted. It is a much safer metric than the Mean when your data has extreme highs or lows.
• Mode: The number(s) that appear most frequently. If multiple numbers tie for the highest frequency, all are displayed.
• Standard Deviation (s): Measures the amount of variation or dispersion. A low standard deviation means the data points tend to be very close to the mean, while a high one means they are spread out. This calculates the Sample Standard Deviation (N-1).

Dynamic Noise Filtering: Real-world data copied from documents often contains irrelevant "noise" numbers (like dates or bullet points). Using the minimum/maximum filters allows you to instantly clean your dataset without manually deleting numbers from the text block.

The Histogram Generation: To visualize your data, the engine automatically calculates the optimal number of "bins" (columns) using Sturges' formula: k = ceil(log2(N) + 1). It then distributes your numbers into these ranges to show the shape of your data (e.g., normal distribution, skewed left, skewed right).

Zero-Trace Security: Uploading sensitive datasets (like customer ages, financial metrics, or test scores) to a server is a major compliance risk. This tool parses the entire array directly in your browser's RAM via JavaScript, guaranteeing the data is never tracked.