Scatter Map
===========

.. figure:: icons/scatter-map.png

Plots a scatter map for a pair of continuous attributes.

Signals
-------

**Inputs**:

-  **Data**

   An input data set

**Outputs**:

-  None

Description
-----------

A `Scatter map <https://en.wikipedia.org/wiki/Scatter_plot>`_ is a
graphical method for visualizing frequencies in a two-way matrix by
color. The higher the occurrence of a certain value, the darker the
represented color. By combining two values on x and y axes, we see where
the attribute combination is the strongest and where the weakest, thus
enabling the user to find strong correlations or representative
instances.

.. figure:: images/ScatterMap2-stamped.png

1. Select the x and y attribute to be plotted.
2. Color the plot by attribute. You can also select which attribute
   instances you wish to see in the visualization by clicking on them.
   At the bottom, you can select the color scale strength
   (`linear <https://en.wikipedia.org/wiki/Linear_function_(calculus)>`_,
   `square root <https://en.wikipedia.org/wiki/Square_root>`_ or
   `logarithmic <https://en.wikipedia.org/wiki/Logarithm#Logarithmic_scale>`_).
3. *Sampling* is enabled only when the widget is connected to the *SQL
   Table* widget. You can set the sampling time for large data to speed
   up the analysis. *Sharpen* works for all data types and it will
   resize (sharpen) the squares in the plot.
4. *Save Image* saves the created image to your computer in a .svg or .png
   format.
5. Produce a report. 

Example
-------

Below, you can see an example workflow for the **Scatter Map** widget. Notice
that the widget only works with continuous data, so you need to first
continuize the data attributes you want to visualize. The Scatter map below
displays two attributes from the *Iris* data set, namely the petal width
and petal length. Here, we can see the distribution of width and length
values per Iris type. You can see that the variety *Iris setosa* is
distinctly separated from the other two varieties by petal width and
length and that the most typical values for these attributes are around
0.2 for petal width and between 1.4 and 1.7 for petal length. This shows
that petal width and length are good attributes for telling Iris setosa
apart from the other two varieties.

.. figure:: images/ScatterMap-Example.png