#PIVOT TABLE TOOL HOW TO#
#PIVOT TABLE TOOL SOFTWARE#

The target variable can be a qualitative variable (with a target category), or a quantitative variable. Numeric continuous or discrete explanatory variables are automatically sliced into classes that contribute to optimize the quality of the table.īy inputing a table that contains a set of observations described by categorical and numerical variables - including the target variable which corresponds to the phenomenon of interest (revenue, response or not to a direct mailing, among others) - into XLSTAT you will be able to:

XLSTAT allows you to create dynamic pivot tables whose structure is optimized with respect to a target variable.

#PIVOT TABLE TOOL SOFTWARE#

The table is said to be dynamic in the sense that software functionalities allow to navigate among the hierarchy and to create a focused view on particular classes of particular variables.

#PIVOT TABLE TOOL HOW TO#

And that’s how to create a pivot table in Alteryx.A pivot table (or contingency table, or two-way table) is a synthetic representation of occurrences observed on an N-size population for crosses of all the different categories of two variables.Ī dynamic pivot table allows to take more than two variables into account and to organize the table structure into a hierarchy. Please note that some actions are available only with specific data types, not logic actions for a specific field will not be selectable. Obviously, ‘Group by’ and ‘Count’ are not the only actions available in the Summarize tool, here there is a list of the most common and useful available actions. We have seen a very simple way to aggregate data vertically in Alteryx through the Summarize tool. Now we know how many men and how women there are in each ‘Age Range’. The ending database should appear as shown below

Field ‘Count_Sex’ where the corresponding count for each sex in each age range will be shown.

Field ‘Sex’ where any unique sex available in the corresponding age range will be shown.

Field ‘Age Range’ where any unique age range will be shown.

The Actions section should appear as shown below

Select ‘Sex’ from the first section and add it to the Actions with ‘Count’.

Select ‘Sex’ from the first section and add it to the Actions with ‘Group by’.

Select ‘Age Range’ from the first section and add it to the Actions with ‘Group by’.

In the second one all the fields contained the output will be displayed as we add them, they will be displayed in the same order they will be put in the output (Actions).

In the first one all the database’s fields are shown (Fields).In the configuration tool we have two different sections:.Connect a Summarize tool directly to your workflow.Using a Summarize tool is the best way to aggregate data vertically to create some sort of Excel’s Pivot Table. We can use Summarize tool to handle with this The aim is to have a database made up of three different field (‘Age Range’, ‘Sex’, ‘Count_Sex’) because we want to know in each ‘Age Range’ how many men and how women there are. In Alteryx there is not a specific function to create a Pivot Table but we can reach the same result in a very simple way, we can use a Summarize tool to aggregate data verticallyįor this example, we have a database made up of three fields (Name, Sex, Age Range) as shown below Let’s explore how to create a pivot table in Alteryx. This summary might include sums, averages, or other statistics, which the pivot table groups together using a chosen aggregation function applied to the grouped values.

Pivot tables are a very useful tool in Microsoft Excel used to group and summarize data of a more extensive table within one or more discrete categories.

Pivot table tool