Skip to content

This project is a simple statistics calculator that allows users to input a set of numbers and calculates key statistical metrics: mean, median, mode, standard deviation, and variance. It leverages basic mathematical concepts to help analyze data and understand patterns, making it a useful tool for students, analysts for statistical analysis.

License

Notifications You must be signed in to change notification settings

mdkeum/Statistics-Calculator

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

13 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Statistics Calculator Project

Table of Contents


Project Overview

The Statistics Calculator is a simple tool designed to calculate key statistical metrics for any given dataset. This project provides an easy-to-use interface for users to input a set of numbers and quickly retrieve important statistical values like the mean, median, mode, standard deviation, and variance.

Whether you're working on data analysis, studying statistics, or just need to perform some quick calculations, this tool makes the process straightforward and accessible.

Statistics Calculator

Features

The tool calculates the following statistics:

  • Mean: The average of the numbers in the dataset.
  • Median: The middle value when the numbers are sorted in ascending order.
  • Mode: The most frequent number(s) in the dataset.
  • Standard Deviation: A measure of how much the numbers vary from the mean.
  • Variance: The average of the squared differences from the mean.

How It Works

  1. User Input: You can input a set of numbers through the application interface.
  2. Processing: The application processes the numbers and calculates the statistics mentioned above.
  3. Display Results: The results are displayed to the user in a clean and readable format.

Usage

To get started with the Statistics Calculator, follow these steps:

1. Clone the repository

Clone the project to your local machine:

git clone https://github.com/mdkeum/Statistics-Calculator.git

2. Navigate to the project directory

Once the repository is cloned, navigate to the project folder:

cd Statistics-Calculator

3. Open the project in a browser

Since this is a front-end project built with HTML, CSS, and JavaScript, you can run the application simply by opening the index.html file in your web browser.

  • Double-click the index.html file, or
  • Right-click on the file and select Open with and choose your preferred web browser.

Once the file is opened in your browser, you can start using the Statistics Calculator by inputting your dataset and clicking on the buttons to calculate the statistics.


Technology Used

This project utilizes the following technologies:

  • HTML: Used to structure the user interface of the application.
  • CSS: Used for styling the user interface and making the application visually appealing.
  • JavaScript: Used to implement the functionality for calculating the statistics and updating the page dynamically without refreshing.
  • Web Browser: The application runs in any modern web browser (Chrome, Firefox, Safari, etc.).

Contributing

We welcome contributions to the Statistics Calculator! If you'd like to contribute, please follow these steps:

  1. Fork the repository.
  2. Create a new branch for your feature or bug fix.
  3. Make your changes and commit them.
  4. Push the changes to your forked repository.
  5. Open a pull request with a description of your changes.

All contributions are subject to review and approval.


License

This project is licensed under the MIT License. See the LICENSE file for more details.


Acknowledgements

This project was created as part of the freeCodeCamp curriculum. Thanks to freeCodeCamp for providing a comprehensive, free, and accessible learning path for aspiring developers. Their detailed course materials and hands-on projects are invaluable resources for anyone looking to improve their coding skills.


About

This project is a simple statistics calculator that allows users to input a set of numbers and calculates key statistical metrics: mean, median, mode, standard deviation, and variance. It leverages basic mathematical concepts to help analyze data and understand patterns, making it a useful tool for students, analysts for statistical analysis.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published