I have a sheet "RawCount" with Google Form results that will accumulate over time (people will make entries each week or as their raw number changes).
I need a way to compile the data to obtain the most recent entry for each individual who has entered data via the form:
This data will accumulate with new entries over the period of eight months from up to 100 or more different people.
I would like to sum the most recent entries for each individual onto another tab in the same Google Sheet that contains a scorecard.
Thanks for any help you can offer. I think I've sprained my brain on this.
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really need help on this. probably simple but im a novice so not so easy.
I have a work sheet, we'll call it masterdata. I gather my data form business 365 and paste multiple lines of data into the masterdata sheet. The lines basically consist of a PO number, a sales number, a part number, quantity and customer line number.
I use this data to generate QRCodes in a template on my first sheet named template. The QRcodes are generated by google then brought onto the sheet. (doesnt have to be google but i havent worked out how to get excel to do this without third party addons)
I have a macro split my data into individual sheets based on the PO number, each sheet could end up with 1 - 100 lines of sales data, each one referring to a separate PO number.
On my QRcode template sheet im using an indirect vlookup function to pull the data from each sheet based on the value entered into cell F2.
Can anyone help me automate this a bit as it can be quite time consuming entering the sheet number into F2, deleting the previous results QRCodes and refreshing the QRcodes then printing.
I'd like to auto cycle F2 with the names of each sheet one at a time, delete all QRCodes then refresh/download new QRcodes and print the page.
Is this even possible?
Thank you all in advance for taking the time to review my question.
I am trying to create a line chart counting all the optins per date, however the only dimension that is will allow me to choose from have to be a date column on my source. The problem with this is it only chooses from dates that are populated in those fields with an optin date.
For example: I have 5 optins on 1/1/2019, 0 on 1/2/2019, and 3 on 1/3/2019
If I use this series and want to include another metric, 1/2/2019 will not show anything for that other metric
I just want a standard everyday series that counts every metric on a given day. The google analytics connection source has a generic Date dimension but I can not figure out how it was done
Ive tried creating a new column with everydate on it and trying to use that as a dimension without any luck
You should be able to use a Time Series graph (of which there are 3 types) instead of a Line graph.
A Time Series will keep the days where no data is available unlike the Line Graph which only presents labels for those which have values in the data.
I am trying to match date and time, and metric category with multiple rows in a data sheet. Currently, I record metrics every day in a similar function with a set of rows showing metric data based on intervals of time. These rows are broken up by date.
I would like to be able to add to a dashboard the current metrics without someone needing to dig through the tables I am recording in. This would require the metric to stay up there until the next interval changed.
I will use =SPLIT(NOW) for the date and time but for now I would like to at least get this to work with static interval and date. I tried using Index Match using AND(), & etc and I cannot get it to work. I also tried to use an array but it errors every time.
Google Sheets Index Match Multi Criteria
If the time intervals for each day will be exactly the same and the data structure will never change with 3 identical lines per day (as per your screenshot) than I think you are overcomplicating things a little:
B2:
=index($A$7:$E$15,MATCH($A$1,$A$7:$A$15,0)+1,MATCH(B$1,$A$7:$E$7,0))
B3:
=index($A$7:$E$15,MATCH($A$1,$A$7:$A$15,0)+2,MATCH(B$1,$A$7:$E$7,0))
B4:
=index($A$7:$E$15,MATCH($A$1,$A$7:$A$15,0)+2,MATCH(B$1,$A$7:$E$7,0))
This should be simple so I think I am missing it. I have a simple line chart that shows Users per day over 28 days (X axis is date, Y axis is number of users). I am using hard-coded 28 days here just to get it to work.
I want to add a scorecard for average daily users over the 28 day time frame. I tried to use a calculated field AVG(Users) but this shows an error for re-aggregating an aggregated value. Then I tried Users/28, but the result oddly is the value of Users for today. The division seems to be completely ignored.
What is the best way to show average number of daily users over a time frame? Average daily users over 10 days, 20 day, etc.
Try to create a new metric that counts the dates eg
Count of Date = COUNT(Date) or
Count of Date = COUNT_DISTINCT(Date) in case you have duplicated dates
Then create another metric for average users
Users AVG = (Users / Count of Date)
The average depends on the timeframe you have selected. If you are selecting the last 28 days the average is for those 28 days (dates), if you filter 20 days the average is for those 20 days etc.
Hope that helps.
I have been able to do this in an extremely crude and ugly manner using Google Sheets as a means to do the calculation and serve as a data source for Data studio.
This may be useful for other people trying to do the same thing. This assumes you know how to work with GA data in Sheets and are starting with a Report Configuration. There must be a better way.
Example for Average Number of Daily Users over the last 7 days:
Edit the Report Configuration fields:
Report Name: create one report per day, in this case 7 reports. Name them (for example) Users-1 through Users-7. These are your Row 2 values. You'll have 7 columns, with the first report name in column B.
Start Date and End Date: use TODAY()-X where X is the number of days previous to define the start and end dates for each report. Each report will contain the user count for one day. Report Users-1 will use TODAY()-1 for start and end, etc.
Metrics: enter the metrics e.g. ga:users and ga:new users
Create the reports
Use 'Run reports' to have the result sheets created and populated.
Create a sheet for an interim data set you will use as the basis for the average calculation. The first column is date, the remaining columns are for the metrics, in this case Users and New Users.
Populate the interim data set with the dates and values. You will reference the Report Configuration to get the dates, and you will pull the metrics from each of the individual reports. At this stage you have a sheet with date in first columns and values in subsequent columns with a row for each day's values. Be sure to use a header.
Finally, create a sheet that averages the values in the interim data set. This sheet will have a column for each metric, with one value per column. The one value is calculated from the series in the interim data set, for example =AVG(interim_sheet_reference:range) or any other calculation you'd like to do.
At last, you can use Data Studio to connect to this data source and use the values. For counts of users such as this example, you would use Sum as the aggregation field type when you are creating the data source.
It's super ugly but it works.
I'm stumped by a major issue. I have a data set consisting of about 16000 rows (could be more in future). This list is basically a price list containing products and their corresponding installation fees. Now the products are classified by the following hierarchy: City -> Category -> Rating/Type. Before I was using named ranges to refer to each set by concatenating City & Category & Rating (_XYZ_SPC_9.5). This resulted in about 1500 named ranges which inflated the size of the Excel file. So I decided to calculate the products on-the-fly using inputs from the user. I have tried array formulas and simple formulas but they take some time to calculate (16000 rows!!) which is not acceptable from a usability perspective; our sales people are very particular about how much time they have to spend on the tool.
I have uploaded a sample file at:
Price List Sample
Formulas that I have used so far are:
=IFERROR(INDEX($H$6:$H$15000, SMALL(INDEX(($AE$9=$R$6:$R$15000)*(MATCH(ROW($R$6:$R$15000), ROW($R$6:$R$15000)))+($AE$9<>$R$6:$R$15000)*15000, 0, 0), AC3)),"Not Available")
{=IFERROR(INDEX(ref_PRICE_LIST!$H$6:$H$16074,MATCH(INDEX(ref_PRICE_LIST!$H$6:$H$16074,(SMALL(IF(IF(RIGHT($AE$3,3)="All",ref_PRICE_LIST!$Z$6:$Z$16074,ref_PRICE_LIST!$R$6:$R$16074)=$AE$3,ROW(ref_PRICE_LIST!$H$6:$H$16074)-ROW(ref_PRICE_LIST!$H$6)+1),$AC3))),ref_PRICE_LIST!$H$6:$H$16074,0),1),"Not Available")}
I would really appreciate if someone can help me out.
Thank you so much!
I think the best way to speed this up is to split the formula into a helper column K and a reult column L
Helper Column (copy down for all 16,000 data rows)
=IF($D:$D=$O$2,ROW(),"")
Result column (starting at L2, copy down as many as you need)
=IFERROR(INDEX($F:$F,SMALL($K:$K,ROW()-1)),"Not available")
I've tested this with about 150,000 rows and it updates in < 1s