-
Notifications
You must be signed in to change notification settings - Fork 386
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Added Curve Fitting Calculator #1184
Added Curve Fitting Calculator #1184
Conversation
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Hey @DivyaVijay1234, Welcome to the project CalcDiverse! 🎊
Thanks for your contribution! Your effort makes this project better. Keep it up! 🙌
Please wait for the PR to be reviewed. Happy Coding!! ✨
✅ Deploy Preview for calcdiverse ready!
To edit notification comments on pull requests, go to your Netlify site configuration. |
Pls add your calculator in main |
@Rakesh9100 |
@Rakesh9100 |
No, you don't have to merge anything. You just have to add your calculator part in main |
Congrats, Your pull request has been successfully merged 🥳🎉 Thank you for your contribution to my project 🚀 Keep Contributing!! ✨ @DivyaVijay1234 |
Fixes Issue🛠️
Closes #962
Description👨💻
This code implements a curve-fitting calculator in JavaScript. It allows users to input a set of 2-D coordinates and choose from various curve-fitting options, including linear, quadratic, cubic, and exponential curves. The calculator uses mathematical algorithms to determine the best-fitting curve based on the input points and displays the equation of the curve along with a graph. This tool can be useful for analysing data trends and predicting values based on given data points.
Type of change📄
How this has been tested✅
During the testing phase, I rigorously evaluated the curve-fitting calculator by inputting data sets of various sizes and characteristics, covering linear, quadratic, cubic, and exponential curve types. By analyzing the calculated equations against the provided points, I ensured that the calculator accurately determined the best-fitting curve for each dataset. Additionally, I verified the user interface's functionality to guarantee seamless interaction, allowing users to input data, select curve types, and obtain precise curve-fitting results. Through these comprehensive tests, I confirmed the calculator's robustness and reliability across diverse curve-fitting scenarios.
Checklist✅
Screenshots/GIF📷