Enhance Tidal Prediction Software Flexibility
Budget: ₹1,500 – ₹12,500 INR
I am seeking a skilled developer to enhance my tidal prediction software, which is built using R language in Shiny R. Currently, the software only accepts CSV files with a strict 10-minute interval format, and any breaks in the data are not accommodated. I want to make the time and date format more flexible to improve usability and data handling.
Key Requirements:
- Modify the software to accept flexible time intervals, allowing for both automatic detection and user-specified intervals.
- Implement functionality to automatically interpolate missing data when breaks in time intervals are detected.
- Ensure compatibility with various time formats, enhancing the software's adaptability to different data inputs.
Ideal Skills and Experience:
- Proficiency in R programming and experience with Shiny R applications.
- Strong understanding of data interpolation techniques and time series analysis.
- Experience in developing software with flexible data input handling.
- Ability to work with CSV file formats and implement robust data validation processes.
I am looking forward to collaborating with a developer who can bring these enhancements to life, ensuring a more versatile and user-friendly tidal prediction tool.
Key Requirements:
- Modify the software to accept flexible time intervals, allowing for both automatic detection and user-specified intervals.
- Implement functionality to automatically interpolate missing data when breaks in time intervals are detected.
- Ensure compatibility with various time formats, enhancing the software's adaptability to different data inputs.
Ideal Skills and Experience:
- Proficiency in R programming and experience with Shiny R applications.
- Strong understanding of data interpolation techniques and time series analysis.
- Experience in developing software with flexible data input handling.
- Ability to work with CSV file formats and implement robust data validation processes.
I am looking forward to collaborating with a developer who can bring these enhancements to life, ensuring a more versatile and user-friendly tidal prediction tool.