Manoj, Thank you again. So, I want to make certain that I understand you: Let’s say I have a data point (12, 300) in my dataset and everything else is like under 100 for the y-axis value. So, if all the points are plotted and “overlapping” like you said, then it should include that one outlier point (value = 300) in any chart sizing (where x-axis points are less than pixels {ideal} or where there are many more data points than available width pixels to represent them {the issue I am most concerned about}). Is that right? With that, I’ll go back to my data set and brute force out some examples to prove or disprove this.
Let me clarify my last post and the problem set were looking at—that array [3, 3, 3, 5, …] was the y-values, not the x-values. So, we have [(1,3),(2,3),(4,3),(5,5),(6,5),(7,5)…] and we have to jam that into something one pixel wide, but it could be multiple pixels high. thanks again.
Manoj, Thank you but this doesn’t quite answer my question. Let’s go with your example of 10,000 data points and 1,000 pixels to display it with values 10-19 “overlapped”. Let’s say they have values [3, 3, 3, 5, 5, 5, 5, 7, 7, 7]. Should I expect to see a vertical line (1 pixel wide) ranging from y-axis value 3 to y-axis value 7? That would include values 4 and 6 that were not in the original set. There is no easy or perfect way to do this and I’m not trying to sharpshoot the software, I just need a detailed answer to give our stakeholders.
I kinda sorta think it picks a value from that set but does not show the range or a mean or anything based on an initial observation of this. I had a huge data set that I charted and it looked fine then I cut it down and it was still large but it showed some outlier values that would have been captured in a range or average approach. Maybe it just picks the first one of the set, in this example a value of 3, then skips the rest? Then, if I trimmed my dataset from 10,0000 to 2,000, it would be “binning” or grouping them into two value sets and I’d expect to see the first/last of them.
I’m not interested in Zoom features or anything in this case–just want the details on how it gets the huge (too big) set of data down to the viewable chart.
Thanks for investigating this. Much appreciated.