Frame the Problem

FPM #1 EDA with Python, Pandas and Jupyter

Description

Produce a written set of driving questions, a chosen analysis type, and a vetted list of candidate datasets from the datalake catalog — the contract the rest of the playbook works against.

Activities Flow (6)
cluster_frame_the_problem Frame the Problem activity_402 FPM1 Choose the analysis type activity_403 FPM2 Formulate the driving questions activity_402->activity_403 activity_404 FPM3 Assess analyst readiness activity_403->activity_404 activity_405 FPM4 Select candidate datasets from the datalake catalog activity_404->activity_405 activity_406 FPM5 Assess dataset quality against meaningfulness traits activity_405->activity_406 activity_407 FPM6 Write the Framing Brief activity_406->activity_407