Pandas Data Handling Lab
Basics of Python Programming for Pharmaceutical Sciences (BP101T) · Semester 1 · Unit 4: Data Handling with Pandas
Inspect, clean, filter, select, group, and aggregate a clearly fictional ADR practice table with Pandas concepts.
What this unit covers
Inspect fictional PK and ADR practice records as Series and DataFrames. Use head, tail, info, describe, cleaning, filtering, selecting, grouping, and aggregation without treating a teaching summary as clinical evidence.
Apply it
Inspect a simulated ADR table, handle a missing follow-up value, then distinguish a filter from a grouped count.
How this lab works
A visible browser-native teaching interaction updates illustrative states, scores, or visual summaries from authored values.
Data used
Fictional or browser-generated teaching inputs; no patient, proprietary manufacturing, or clinical-record data.
Limits
Educational simulation only. Outputs are not clinical advice, patient-specific predictions, release specifications, regulatory decisions, or professional competency evidence.