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Hi all,
I am trying to generate a scatter chart of a set of time-series data. Basically I need it to be exactly like the line chart, but with markers instead of lines. Ideally it would like the following chart, which was produced in Excel instantly. I have tried:
Surely this has come up before but I have not been able to find a post that share the exact same problem.
Is there a way to generate a time-series scatter chart as per below, whether it is using existing or custom visualisation?
Much appreciated!!
Was a solution ever found? I am having the same issue...
Not really. I just made do using line chart with markers line width 0. If the date column is formatted correctly then I get a Continuous x-axis. However the downside is that if there were more than one data point in a day, they will be aggregated. In most cases I can live with an average. In saying that, I could probably add hh:mm:ss in the Date hierarchy to show all data points for some of my datasets but that is a bit of an overkill.
Alternatively, use Python or R visuals.
Hope that helps!
HI @pingster ,
If you mean create a visual similar as you shared, you can create a scatter chart with time field as x axis, amount field as y axis, category to legend, it will display the graph you wanted.
If you mean create scatter chart display points as line, I think it is hard to achieve.
Regards,
Xiaoxin Sheng
Hi @v-shex-msft,
Thanks for your reply. I have tried that too. Unfortunately as you can see in your chart, it assumes equal spacing between every data point. This is technically incorrect and I need to be able to show the true scale i.e. equal spacing. Also as I mentioned in my post, there is scroll bar to scroll across the chart which I need to avoid because I want to visualise years of data.
Is there another way to achieve this?
Regards,
Shi Ping
HI @pingster,
Maybe you can try to use R visuals to manually plot similar scatter chart based on your records.
Regards,
Xiaoxin Sheng
I am struggling with the same issue - have you found a way to create the plot ?
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