Collecting mock datasets for testing

[Elektra-V]

Description:

We need to assemble an enriched set of dummy data for comprehensive testing of our sensor functionalities. The objective is to simulate a variety of environmental conditions and scenarios to ensure our sensors perform reliably under different circumstances.

Goals:

• Develop diverse datasets that represent a wide range of environmental variables (temperature, humidity, pressure, etc.).
• Ensure that the data includes edge cases and extreme values to test sensor robustness and error handling.

Requirements: Data should be structured and formatted consistently to facilitate easy integration and testing across our platforms. Include timestamps and relevant metadata for each data point to mimic real sensor output.

Impact: This collection will directly support the development and refinement of our sensor algorithms, helping to accelerate testing phases and increase the reliability of our product.

[Elektra-V]

This issue has been successfully resolved. We have collected and structured a comprehensive set of dummy data that covers a wide range of environmental conditions and scenarios relevant to our sensor testing needs. The new dataset includes edge cases and extreme values, ensuring robustness in sensor performance across diverse conditions.

Key Achievements:

Uniform data formats have been established and implemented across all dummy datasets. Each data point is now accompanied by accurate timestamps and relevant metadata, enhancing the realism and utility of the dummy data in simulating real-world sensor outputs.