{"blocks": [{"key": "ecc09e49", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "1b3ad147", "text": "A three-year weekly time-series plot of Shopify shopping sessions shows a spike every November and an additional isolated spike in the third year’s June.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "1f3764da", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "b94cbbc5", "text": "Explain plausible business drivers for the recurring November spikes and the one-off June spike. 2) Using the provided dataset (your choice of Python, R, or Google Sheets), explore the spikes further and propose at least two hypotheses to validate with additional data.", "type": "unordered-list-item", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "32b7381a", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "abf9b1ec", "text": "Think seasonality (e.g., Black Friday/Cyber Monday), marketing campaigns, external events, and segmentation by geography or channel.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}