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I have found how to bring up analytics of sales by hour but it shows each hour of every day rather than all sales made from 1:00 pm to 2:00 pm regardless of date. seems that shopify also groups hour with the date so it is very difficult to extract the data I'm looking for.
Thanks in advance for any help.
I exported my Orders, and then viewed it on Google Sheets. I added these two formulas:
# The day of the week, as a number from 1-7
=WEEKDAY(DATEVALUE(left(D2, len(D2)-5)))
#With lookup table to translate numbers to Mon, Tues, etc.
=vlookup(WEEKDAY(DATEVALUE(left(D2, len(D2)-5))),$C$130:$D$136, 2, True)
# The hour of the day
=right(left(D2,13),2)
This is what the spreadsheet looks like:
You can then take that and make a pivot table, using those two columns for columns + rows, and the data as sum or average of the sales data:
Thanks! This is exactly what we're looking for but could use a little more clarification on the formulas.
Here's expanded comments on the day of the week:
# The day of the week, as a number from 1-7
# Trims the timezone off the end, and then converts it into a date value for Sheets, and then extracts the weekday from the calendar.
# The output is a number from 1-7.
=WEEKDAY(DATEVALUE(left(D2, len(D2)-5)))
# With lookup table to translate numbers to Mon, Tues, etc.
# Make a little table that has the numbers 1-7 in one column, and the days of the week in the second. Change $C$130:$D$136 to reference that little table.
# The output is now the day of the week.
=vlookup(WEEKDAY(DATEVALUE(left(D2, len(D2)-5))),$C$130:$D$136, 2, True)
# The hour of the day
# This trims down the strings to just the two characters for the 24-hour the sale took place in.
=right(left(D2,13),2)
Both of these would probably be easier to read if it was doing substring parsing, instead of chopping up a string. I don't remember why I didn't do that originally.
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