topic Re: Combining Heatmap with Scatter-Plot in Discussions

Combining Heatmap with Scatter-Plot

thomasr — Wed, 19 Oct 2016 02:00:40 GMT

Dear all,

I'm currently trying to analyze data from two different sources and combine them in one graph.

I have two tables:

1) A table with density information (three columns: X, Y, density)

2) A table with defect coordinates (two columns: X, Y)

I generate a heatmap with the data from table 1), which is working fine. The data is describing a grid of material (with density)

I also can generate a scatter plot from the data of table 2)

I would now like to generate a plot, where I paste the scatter from table 2 on top of the heatmap from table 1.

The coordinates are the same, but the defect locations can also be in the empty spaces between the grid.

I googled for overlay, combined graph, join etc. but can't find a way to do it.

I'm just in the phase of starting to use JMP and just start learning the basics. To get to where I am was so fast and easy, that I'm absolutely flashed. Only the next step is now not working...

Any help is appreciated.

Best regards,

Thomas

Re: Combining Heatmap with Scatter-Plot

Bill_Worley — Wed, 19 Oct 2016 02:00:50 GMT

Thomas,

Go to the scatterplot graph and right click within the graph. Select Edit > Copy Frame Contents. Go back to your heat map, right click with in the graph select Edit > Paste Frame Contents. Copy Frame Contents is shown below.

Best,

Bill

Re: Combining Heatmap with Scatter-Plot

mwechtal — Wed, 19 Oct 2016 02:00:59 GMT

There is a menu of graph type selections at the top of Graph Builder. You can generate either graph in Graph Builder, and then <Ctrl> click and drag the other graph type from the top of the window onto the current graph.

For instance, generate the heapmap, and then hold down Ctrl while clicking on the scatterplot icon (first box) and dragging to the heatmap.

Re: Combining Heatmap with Scatter-Plot

thomasr — Thu, 25 Feb 2016 15:00:28 GMT

Hi Bill,

thanks a lot - that was exactly what I was looking for.

So easy, but with the huge amount of functions not directly obvious to me.

Best regards,

Thomas