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Showing 3 resources for "pandas"
Saved
Active

2 trusted · 1 review in this set — compare to see which signals differ.

Trust snapshot

3 results in this view

Claimed
0%(0/3)

1 trust signal differs in this sample: Package trust

Signals differ on Package trust — add entries to compare before you install.

Rollout signal scan

1 rollout risk signal in current results

Biggest gaps: metadata review. 0 entries have 2+ required gaps.

3 scanned

Install payload

Install payload is broadly covered in current results.

good

100% (3/3)

Adoption queue

Browse adoption queue · balanced

1/3 visible results are in hold tier and need mitigation before adoption.

ready 0caution 2hold 1

CLI Data Visualization Quickstart Skill

1 blockers: Metadata review

caution

70/100

Request metadata review from maintainers or internal owners.

skills/cli-data-viz-quickstart · trust trusted · confidence 83%

CSV/Excel Data Wrangler Skill

1 blockers: Metadata review

caution

70/100

Request metadata review from maintainers or internal owners.

skills/csv-excel-data-wrangler · trust trusted · confidence 83%

hold

38/100

Request metadata review from maintainers or internal owners.

Document privacy posture and data handling expectations.

Collect package checksum or signed artifact information.

rules/python-data-science · trust review · confidence 50%

Decision confidence

Decision confidence scan · balanced

1/3 results are low-confidence and need review before adoption.

high 2medium 0low 1

CSV/Excel Data Wrangler Skill

Confident candidate for staged adoption.

high

74/100

Missing: Metadata review

skills/csv-excel-data-wrangler · trust trusted

Freshness distribution

100% of this view is aging or stale

Median age 286 days; 0 fresh of 3 scanned. Re-verify the oldest entries.

median 286d

Aging

91–180 days

0%

0 entries

Stale

> 180 days

100%

3 entries

Theme distribution

Results center on python

100% of this view shares the top theme. Leading themes: python, pandas, charts.

Focused

11 distinct themes across 3 scanned

Turn Claude into a practical pandas data-wrangling partner for loading, cleaning, reshaping, and aggregating tabular data with the pandas DataFrame API

Safety ✓ Privacy ·

Turn CSV, JSON, or Excel data into publication-ready charts with Python: load it with pandas and render bar, line, scatter, and statistical plots in matplotlib (with seaborn styling), then export high-DPI PNG or SVG.

Level:advancedType:generalVerified:draft
Safety ✓ Privacy ✓

Clean, filter, join, pivot, and export CSV/XLSX data reliably with reproducible steps. Transform messy spreadsheets into production-ready datasets with pandas. Handle encoding issues, data type conversion, missing values, duplicates, and complex merges.

Level:advancedType:generalVerified:draft
Safety ✓ Privacy ✓