So I have been using Cloud for Analytics for a few weeks now and thought that I will share some of my observations here. Those that know me, will know that I will share my honest view here – so I will simply share what I experienced right now in Cloud for Analytics (March 2016).

 

In the first blogs I have shown how you can take a simple Google Sheet and generate a model out of it, so now I wanted to take a closer look at the visualization options.

 

So I navigated to the Stories part of Cloud for Analytics and selected the option to “Add Canvas”

 

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and then I selected the option to add a Chart.

 

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Add that point I was asked to select the model, and I am using the model I created previously as shown in the blogs.

 

C4A_Blog_001003.jpg

 

After I selected the model, I was able to add a new chart to my canvas and then configure the details as shown below

 

C4A_Blog_001004.jpg

 

As you can see above, choose the chart type now does look very similar to SAP Lumira.

 

In my case I selected a simple Bar Chart and wanted to see how the hierarchical data and different measures from my model would be visualized.

 

C4A_Blog_001005.jpg

 

 

The chart showed all the root nodes from my hierarchy and I was able to drill down and up – which was good to see, but I was looking for an option to actually see the complete hierarchy in my chart or at least the option to choose how many levels of the hierarchy I wanted to see – but was not able to find something close to that.

 

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The other item I noticed – and was not able to find a solution for it on a chart per chart level – is the option to define a scaling factor and a scaling unit. You can see in the image above that my X-Axis scale doesn’t look very pretty anymore, simply because numbers overlap. The numbers overlap because I couldn’t find an option to define a scaling factor – lets say 1.000.000 – and a scaling unit – for example “Mill” – that I could display instead.

 

I am aware that I can define a scaling in the model, but that is a scaling for any visualization for that particular measure and there might be situations that you want to define a well scaled axis for a particular chart – especially when using measures that have different scaling defined in the model.

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