Compare Datasets
Here you have the possibility to compare two different datasets. The line on top represents the first dataset, the line below the second one.
Model selection
Please choose a model and than one of its datasets.
Dataset selection

Overall numbers:
A short summary of numbers counting important elements.
0
Dimensions
0
Dimension elements
0
Measures
0
Attributes
0
Slices
0
Observations 
Measure information
Invalid numbers occour in the observations, so computed
values are not exact!

Unequal dimensions

Equal dimensions


For comparision you have to choose another model and one of its datasets.

0
Dimensions
0
Dimension elements
0
Measures
0
Attributes
0
Slices
0
Observations 
Invalid numbers occour in the observations, so computed
values are not exact!

No equal dimensions found!
Please selected another dataset or enrich datasets with relations to each other.
Now i provide you a couple of different ways to explore and compare the data you selected before.
Configure data for further exploration
In this area you can adapt the observations or their metadata.Normalization of observation values
Dataset 1
use
Dataset 2
use
Placeholders  
$value$ represents the value of a observation  $pi$ conforms to π 
Basic operators  
+    *  / 
Functions  
log (x)
The natural logarithm for x 
sqrt(x)
It will returns the square root of x 
sin(x)
Sine of x 
cos(x)
Cosine of x 
tan(x)
Tangent of x 
asin(x)
Arcsine of x 
acos(x)
Arccosine of x 
atan(x)
Arctangent of x 
Set Dimension Elements
Use all Observations, no matter if they are according to equal
or unequal Dimensions and Dimension Elements.

Only use Observations which are according to equal Dimensions with
equal Dimension Elements.

Only use Observations which are according to equal Dimensions with
unequal Dimension Elements.

Show clusters
Maximum Number of Clusters:
Get Link
Wanna explore clusters in the data? Set the number of clusters and you will get a Circle Packing visualization containing grouped observations by according cluster.
Links: