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 |
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?