topic Re: Stacked Bar Chart SAS VA 7.3 in SAS Visual Analytics

Stacked Bar Chart SAS VA 7.3

proshah10 — Mon, 07 Mar 2016 17:17:53 GMT

Hi Guys,

I am using SAS Visual Analytics 7.3 and I still a beginner. I work at Electronic Arts and I wouls like to share a problem that I am facing.

I am trying to create a stacked bar chart which is normalized to 100%.

Lets say my

category is: Date

Measure is: Number of Events

Group: Result.

So essentially I would like to see for each day, the different types of results stacked on top of each other normalized to 100%.

So far I have been able to do it.

But the Problem is:

I want to add a data tool tip that would give me the sum of a bar not just value of one piece in the stacked bar of each day. If i try to create an aggregated measure where I sum by group the number of events, it still gives the value of one piece which is not what i want. And if I try aggregate measure where I sum by all, then it gives me the sum of all the bars not one bar.

Please help?

EDIT:

My data looks like as follows:

I have a field called result, and it has several different values such as a,b,c,d. There is a count of these events for each date. So i would like to see how the distribution of these events change over time using a stacked bar chart and i would like to normalize it 100%. For further reference a sample excel sheet is attached.

Re: Stacked Bar Chart SAS VA 7.3

TejaSurapaneni — Sat, 05 Mar 2016 07:00:00 GMT

Hello proshah10,

Can you please provied the sample data....

Thanks & Regards,

Teja Surapaneni

Re: Stacked Bar Chart SAS VA 7.3

sundeep15685 — Mon, 07 Mar 2016 16:37:50 GMT

Hi Proshah,

It looks like you need to group it taking the sum of all events by each day.

You remember the BASE SAS by statement, any aggregate operation we do will apply to the by variable groups.

This is my naive idea about the problem, Think in these terms. You should get the solution.

Thanks

Sundeep

Re: Stacked Bar Chart SAS VA 7.3

proshah10 — Mon, 07 Mar 2016 17:18:24 GMT

I have updated the post with sample data and further explanation of the data