added counts download button

[AlejandroMC28]

Added counts download button. Also test for deployment.

Summary by CodeRabbit

• New Features
  • Added CSV download functionality for the RDD counts table. Users can now easily export the complete RDD counts dataset in CSV format using a dedicated download button in the interface, enabling offline analysis, seamless integration with external analytics and reporting tools, and further advanced data processing workflows.

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[coderabbitai]

📝 Walkthrough

Walkthrough

A CSV download button has been added to the RDD Count Table preview in the UI. The button enables users to export the complete RDD counts table as a CSV file named rdd_counts_table.csv, converting the rdd.counts data without the index column.

Changes

Cohort / File(s)	Summary
RDD Count Table UI Enhancement pages/01_Create_RDD_Count_Table.py	Added CSV download button (+11 lines) for RDD counts table with label, filename, MIME type, and help tooltip; no impact on existing logic

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~8 minutes

Poem

🐰 A hop, a click, a CSV flies,
RDD counts now in bite-sized size!
Download faster, data bright,
This little button feels so right! ✨

🚥 Pre-merge checks | ✅ 3

✅ Passed checks (3 passed)

Check name	Status	Explanation
Description Check	✅ Passed	Check skipped - CodeRabbit’s high-level summary is enabled.
Title check	✅ Passed	The title 'added counts download button' directly and clearly describes the main change: adding a download button for RDD counts.
Docstring Coverage	✅ Passed	No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check.

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✨ Finishing touches

• 📝 Generate docstrings

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📜 Recent review details

Configuration used: defaults

Review profile: CHILL

Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between c58d318 and e476b10.

📒 Files selected for processing (1)

• pages/01_Create_RDD_Count_Table.py

🔇 Additional comments (1)

pages/01_Create_RDD_Count_Table.py (1)

632-642: Looks good — download UX is clear and consistent.

The CSV export wiring is correct and matches the existing metadata download patterns.

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