Data Analysis - Overview

Once all the preprocessing is completed, the data is not passed to the analysis pipeline. This section contains information about the entire analysis pipeline and its design principle in detail.

This section has five components: software & structure, optimization & performance improvement, dealing with errors, result collection, and automation.

overall analysis pipeline.


Software & Structure

This section discusses what software and how they were used in the analysis pipeline. It contains detailed information about the structure.

Optimization & Performance Improvement

This section discusses what I did to improve the performance of the analysis pipeline.

Dealing with Errors

This section discusses what to do for different kind of errors.

Result Collection

This section discusses how the result was collected, combined, and stored.


This section discusses how to automate the analysis pipeline to require minimum human interactions.

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