Statistics Calculator
Compute descriptive statistics (mean, median, standard deviation, quartiles) from your dataset
数値データを入力
カンマ区切り、改行区切り、タブ区切りに対応。Excelからの貼り付けも可能です。
基本統計量
散布度
四分位数
分布の形状
外れ値(異常値)
About Statistics Calculator
The Statistics Calculator is a free browser-based tool that computes key descriptive statistics from a numeric dataset in one click. It is the quickest way to understand your data without installing specialized software or writing code.
The tool calculates 20 statistics in total: 8 basics (count, sum, mean, median, mode, min, max, range), 5 measures of dispersion (population variance, sample variance, population standard deviation, sample standard deviation, coefficient of variation), 3 quantile measures (Q1, Q3, IQR), and 2 shape measures (skewness and kurtosis). Additionally, it automatically detects outliers using the 1.5×IQR rule, helping you spot anomalies quickly.
Simply paste your numbers separated by commas or newlines — column data copied from Excel or Google Sheets works directly. You can click the "Sample Data" button to try different distribution patterns. All computation runs entirely in your browser; no data is ever sent to a server. Statistical results can be exported as CSV for use in reports and analysis.
Perfect for report writing, research data summarization, quality control (QC) analysis, and statistics education.
How to use Statistics Calculator
- Enter your numeric data in the text area, separated by commas or newlines. You can also paste directly from Excel.
- Click the 'Calculate' button to compute all statistics at once.
- Review the results table and copy any values you need for your reports or analysis.
Benefits of Statistics Calculator
- Compute 20 descriptive statistics and outlier detection in one click — no specialized software required.
- Supports comma-separated, newline-separated, and Excel-pasted data. Try different distribution patterns with sample data buttons.
- Runs entirely in your browser with no data sent to any server, keeping sensitive data safe. Export results as CSV.
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