Welcome to the Statistics documentation
This page serves as the official documentation for the Statistics library. Here, you will find detailed information on how to use Statistics to perform statistical analysis, calculate measures of central tendency, and analyze data sets. Whether you are a beginner or an experienced statistician, this documentation will help you make the most out of the Statistics library.
Installation
To start using the Statistics library, follow the installation instructions below:
- Open your terminal or command prompt
- Navigate to your project directory
- Run the following command to install Statistics:
npm install statistics
Usage
Using Statistics in your project is straightforward. Follow the steps below to perform statistical calculations:
- Import the Statistics library into your project:
// ES6 import import { mean, median, mode, standardDeviation } from 'statistics'; // CommonJS require const statistics = require('statistics');
After importing the library, you can use the various functions provided by Statistics:
// Calculate the mean of a data set const arr = [1, 2, 3, 4, 5]; const meanValue = statistics.mean(arr); console.log(meanValue); // Output: 3 // Calculate the median of a data set const medianValue = statistics.median(arr); console.log(medianValue); // Output: 3 // Calculate the mode of a data set const modeValue = statistics.mode(arr); console.log(modeValue); // Output: [1, 2, 3, 4, 5] // Calculate the standard deviation of a data set const standardDeviationValue = statistics.standardDeviation(arr); console.log(standardDeviationValue); // Output: 1.414
These are just a few examples, but the Statistics library provides many other functions and capabilities for performing statistical analysis. Refer to the API documentation below for a comprehensive list of all available functions.
API Documentation
Below is the complete list of functions provided by the Statistics library:
function1(data: Array<number>): ReturnType function2(data: Array<number>): ReturnType ...
Replace function1
, function2
, and ReturnType
with the appropriate function names and return types. Visit the official Statistics documentation for detailed information on each function’s purpose, usage, and parameters.
That’s it! You are now ready to use the Statistics library to perform statistical analysis, calculate measures of central tendency, and analyze data sets with ease.