Data Exploration
Inspect the input variables over time to understand trends, seasonality, and potential data quality issues before modeling.
Time Series Explorer
Key Insights
This view is critical for validating the raw data. Here, a marketing strategist would look for:
- Correlations: Do spikes in media spend generally precede lifts in conversions? This helps build an intuitive understanding of the data.
- Seasonality: Are there clear seasonal peaks or troughs in conversions (e.g., around holidays) that the model will need to account for?
- Anomalies: Are there weeks with zero spend or unusually high conversions? These could be data collection errors or unique events (like a product launch) that need to be understood.