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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
The text was updated successfully, but these errors were encountered:
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?
The text was updated successfully, but these errors were encountered: