expan
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Published
20 hours ago •
zalando
zalando
Possible to clarify what should be included in "data?"
Hey There,
Currently trying to push some google optimize data through this library and am struggling a bit with out to format the dataframe.
Here's what a CSV export looks like below. Is the data here sufficient to create a dataframe that expan will accept? If so, can you provide any guidance on how best to format the dataframe?
| Day Index | Experiment Sessions (Original) | Experiment Conversions (Original) | Experiment Sessions (Variant) | Experiment Conversions (Variant) |
|---|---|---|---|---|
| "Jan 14, 2022" | "2,738" | 0 | "2,646" | 3 |
| "Jan 15, 2022" | "11,406" | 3 | "11,555" | 4 |
| "Jan 16, 2022" | "15,192" | 3 | "15,289" | 4 |
| "Jan 17, 2022" | "15,416" | 6 | "15,534" | 12 |
| "Jan 18, 2022" | "13,499" | 9 | "13,661" | 4 |
| "Jan 19, 2022" | "14,200" | 5 | "14,098" | 9 |
| "Jan 20, 2022" | "15,503" | 5 | "15,637" | 12 |
| "Jan 21, 2022" | "12,532" | 4 | "12,401" | 9 |
| "Jan 22, 2022" | "13,534" | 5 | "13,679" | 5 |
| "Jan 23, 2022" | "14,405" | 3 | "14,770" | 5 |
| "Jan 24, 2022" | "14,800" | 3 | "14,916" | 7 |
| "Jan 25, 2022" | "15,785" | 4 | "16,179" | 12 |
| "Jan 26, 2022" | "15,060" | 8 | "14,907" | 10 |
| "Jan 27, 2022" | "14,891" | 6 | "15,322" | 8 |
| "Jan 28, 2022" | "14,060" | 12 | "13,970" | 9 |
| "Jan 29, 2022" | "3,613" | 0 | "3,489" | 2 |
