Data processing Task 2 #54
Open
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Objective: This PR processes and consolidates transaction data from Soul Foods’s morsel line, focusing exclusively on Pink Morsels. The goal is to generate a clean, unified dataset suitable for downstream analysis and visualization.
Summary of Changes:
✅ Filtered all rows to include only records where product == "Pink Morsel".
✅ Calculated total daily sales by multiplying quantity and price → new field: sales.
✅ Preserved date and region fields for temporal and geographic filtering.
✅ Merged all three source CSV files into a single, formatted output file with the following schema: sales,date,region
Why It Matters: This transformation ensures that Soul Foods can focus exclusively on Pink Morsel performance across regions and time, enabling more targeted insights and visualizations.