Workflows in EDA with Python, Pandas and Jupyter
8 workflows
Name: EDA with Python, Pandas and Jupyter
Version: v30.8
Author: admin
| Order | Abbrev. | Name | Description | Activities | Actions |
|---|---|---|---|---|---|
| 1 | FPM | Frame the Problem | Produce a written set of driving questions, a chosen analysis … | 6 | |
| 2 | ODA | Organize and Clean Data | Turn the selected raw datasets into one clean, combined, correctly-shaped … | 5 | |
| 3 | EFS | Explore and Engineer Features | Profile the cleaned data, choose candidate target variable(s) Y, and … | 5 | |
| 4 | ACE | Assess Information Gain and Conclude | Rigorously test whether the feature table actually carries information about … | 5 | |
| 5 | ECR | Encode and Reduce Clutter | For each conclusion, classify its analytical pattern and choose the … | 7 | |
| 6 | CTE | Choose Chart per Analysis Type | Apply a chart-selection rule set for each of the six … | 6 | |
| 7 | SNK | Storyboard the Notebook | Sequence the chosen displays into a coherent question-evidence-conclusion narrative and … | 3 | |
| 8 | IVS | Implement Plotly Visuals | Turn every storyboard entry into a working Plotly figure with … | 6 |