Implemented Caching in loaded datasets for Improved Performance

[J-B-Mugundh]

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Description:

This PR introduces caching mechanisms for loaded datasets and summary-based functions to enhance application performance and reduce load times. By leveraging Streamlit's built-in st.cache_data function, we aim to optimize repeated access to static CSV data and eliminate unnecessary reloading.

Changes:

• Implemented a new caching function: cache_data using Streamlit’s st.cache_data feature.
• Considered implementing a custom caching solution but opted for Streamlit’s in-built function due to its simplicity and efficiency.

Impact:

• Performance Boost: By caching static datasets (CSV) and summary functions, load times will be significantly reduced, especially in scenarios where real-time data is not required.
• Resource Efficiency: Reduces redundant processing by storing results from repetitive dataset loading and computation tasks.

References:

https://docs.streamlit.io/develop/api-reference/caching-and-state/st.cache_data

Comparison videos of existing load and new load time after cache_data:

Existing: https://drive.google.com/file/d/1DhsmF-K-hCKsOF3mAHOdkFp8q8aB2rqX/view?usp=sharing

New: https://drive.google.com/file/d/1ZF7YFSDCMZ2Y0K9ZTMGbYY2l0nuY6hi8/view?usp=sharing

Related issue:

#372