Tools of Alteryx Designer
Make Group
Assemble pairs of matches into groups based on their relationships. Generally used with the Fuzzy Match tool.
Directory
Returns all the files in a specified directory. Along with file names, other pertinent information about each file is returned, including file size, creation date, last modified, and much more.
Map Legend Splitter
Split the legend from the Report Map tool into its component parts for customization by other tools.
Apache Spark Code
allows the user to connect directly to an Apache Spark cluster instance and run commands directly from Alteryx.
Run Command
allows the user to run external command programs within Alteryx. This tool can be used as an Input, Output or as a pass through, intermediary tool.
Join In-DB
combines two in-database data streams based on common fields by performing an inner or outer join.
Join
combines two inputs based on a commonality between the two tables. It functions like a SQL join but gives the option of creating three outputs resulting from the join.
Union In-DB
combines two or more in-database data streams with similar structures based on field names or positions. In the output, each column will contain the data from each input.
Join Multiple
combines two or more inputs based on a commonality between the input tables. Only the joined records are outputted through the tool, resulting in a wide (columned) file.
Control Parameter
configures a control parameter input for each iteration of a batch macro.
Field Summary
analyzes data and creates a summary report containing descriptive statistics of data in selected columns. Use this tool to gain insight into data and receive recommendations for managing data.
Union
appends multiple data streams into one unified steam. The tool accepts multiple inputs based on either field name or record position, creating a stacked output table. The user then has complete control to how these fields stack or match up.
Append Fields
appends the fields of one input (Source) to every record of another larger input (Target). Each record of the target input will be duplicated for every record in the source input.
Overlay
arranges reporting snippets on top of one another for output using the Render tool.
Sort
arranges the records in a table in alphanumeric order, based on the values of the specified data fields.
Layout
arranges two or more reporting snippets to output as a report using the Render tool.
Spearman Correlation
assesses how well an arbitrary monotonic function could describe the relationship between two variables, without making any other assumptions about the particular nature of the relationship between the variables.
Data Stream In
brings data from a standard workflow into an in-database workflow.
Input Data
brings data in to your workflow by connecting to a file or database.
Detour
bypasses a process in a macro or analytic app.
Running Total
calculates a cumulative sum, per record, in a file.
Weighted Average
calculates the weighted average of an incoming data field. A weighted average is similar to a common average, but instead of all records contributing equally to the average, the concept of weight means some records contribute more than others.
Summarize
can conduct a host of summary processes, including: grouping, summing, count, spatial object processing, string concatenation, and much more.
Contingency Table
creates a contingency table based on selected fields, to list all combinations of the field values with frequency and percent columns.
Report Map
creates a map image from a workflow.
Record ID
creates a new column in the data and assigns a unique identifier, that increases sequentially, for each record in the data.
Macro Input In-DB
creates an in-database input connection on a macro and populates it with placeholder values.
Macro Output In-DB
creates an in-database output connection on a macro.
Macro Input
creates an input connection on a macro.
Macro Output
creates an output connection on a macro.
Table
creates basic data tables and pivot tables from input data.
Interactive Chart
creates interactive bar charts, line graphs, scatter plots, and pie charts for visualizing data in your workflow.
Generate Rows
creates new rows of data at the record level. It is useful to create a sequence of numbers, transactions, or dates.
Multi-Row Formula
creates or updates a column using an expression that can reference columns in a subsequent or prior row. It is useful for parsing complex data, and creating running totals, averages, percentages, and other mathematical calculations.
Formula
creates or updates columns using one or more expressions to perform a broad variety of calculations or operations.
Formula In-DB
creates or updates fields in an in-database data stream with an expression using the database's native language (e.g., SQL).
Error Message
displays an error message (and halts processing) for an app or macro based on criteria in an expression.
Map
displays an interactive map for the user to draw or select map objects in an app.
Browse
displays data from a connected tool as well as data profile information, maps, reporting snippets, and behavior analysis information in the data.
Field Info
displays in tabular form, the name of fields within a data stream as well as the field order, field type and field size.
API Output
displays the contents of a data stream in the Results window as a comma-delimited, quote-qualified string.
Violin Plot
displays the distribution of a single numeric variable, and conveys the density of the distribution.
Unique
distinguishes whether a data record is unique or a duplicate by grouping on one or more specified fields, then sorting on those fields. The first record in each group is sent to the Unique output stream while the remaining records are sent to the Duplicate output stream.
Connect In-DB
establishes a new or existing in-database connection in a workflow.
Multi-Field Binning
groups multiple numeric fields into tiles or bins, especially for use in predictive analysis.
Fuzzy Match
identifies non-identical duplicates of a database by specifying parameters to match on. Values need not be exact to find a match, they just need to fall within the user specified or prefabricated parameters set forth in the configuration properties.
Select
includes, excludes, and reorders the columns of data that pass through a workflow. You can also modify the type and size of data, rename a column, or add a description.
Python
is a code editor for users of Python.
R
is a code editor for users of R, an open-source code base used for statistical and predictive analysis.
Base64 Encoder
issues a base 64 encode string for a specified string field.
Insight
lets you create and arrange multiple charts and text elements into an interactive dashboard. Publish to a Gallery for others to gain a deeper understanding of the data.
Browse In-DB
lets you view your data at any point in an in-database workflow. Triggers a database query and can impact performance.
Sample In-DB
limits the in-database data stream to a number or percentage of records.
Scatterplot
makes enhanced scatterplots, with options to include boxplots in the margins, a linear regression line, a smooth curve via non-parametric regression, a smoothed conditional spread, outlier identification, and a regression line.
Multi-Field Formula
makes it easy to execute a single function on multiple fields.
Map Input
makes it possible to draw or select map objects (points, lines, and polygons) to be stored in the workflow.
Text Input
makes it possible to manually type text to create small data files for input, which can be useful for creating Lookup tables.
Arrange
manually transposes and rearranges your data fields for presentation purposes. Data is transformed so that each record is turned into multiple records and columns can be created by using field description data.
Pearson Correlation
measures the linear relationship between two or more random variables.
Frequency Table
produces a frequency analysis for selected fields. The output includes a summary of the selected fields with frequency counts and percentages for each value in a field.
Histogram
provides a histogram plot for a numeric field by showing the frequencies of records falling in a set of continuous value ranges. It also provides a smoothed empirical density plot. Frequencies are displayed when a density plot is not selected, and probabilities when this option is selected.
Importance Weights
provides methods for selecting a set of variables to use in a predictive model based on how strongly related each possible predictor is to the target variable.
Dynamic Rename
renames any or all fields within an input stream by employing the use of different methods. Additionally, dynamic or unknown fields can be renamed at runtime.
Dynamic Replace
replaces data values on a series of fields, based on a condition.
Message
reports messages about the process to the Results window.
JSON Parse
separates Java Script Object Notation text into a table schema for the purpose of downstream processing.
Throttle
slows down the speed of the downstream tool by limiting the number of records that are passed through.
Imputation
updates specific values in a numeric data field with another selected value. It is useful for replacing NULL values.
uses a data stream to send emails for each record.
Heat Plot
uses a heat plot color map to show the joint distribution of two variables that are either continuous numeric variables or ordered categories.
Write Data In-DB
uses an in-database data stream to create or update a table directly in the database.
Test
verifies data or processes in a workflow. Since the Test tool accepts multiple inputs, with a single Test tool you can create multiple tests and test multiple sets of data and processes.
Numeric Up Down
Allow users to choose a number from a predefined range.
Text Box
Allow users to enter characters in a free form text box in an app.
Tree
Allow users to make one or more selections from an organized, hierarchal data structure in an app.
File Browse
Allow users to select a file to use as an input or output via a traditional file browse window.
Tile
Group data into sets based on value ranges in a field.
Explorer Box
displays a web page, file directory, or file on the canvas.
Map Legend Builder
Recombine the component parts of a map legend (created using the Map Legend Splitter) into a single legend table, after customization by other tools.
Comment
add annotation or images to the workflow canvas to capture notes or explain processes for later reference.
Report Footer
adds a footer to a report.
Report Header
adds a header to a report.
Image
adds graphics to reports.
Report Text
adds text to reports and documents.
Dynamic Select
allows fields to be selected either by field type or via a formula. Additionally dynamic or unknown fields will also be selected by field type or via formula at runtime.
Association Analysis
determines which fields in a database have a bivariate association with one another.
Date
displays a calendar in app, to allow users to select a date.
Check Box
displays a check box option in an app.
Folder Browse
displays a folder browse control in an app. This Interface tool is not supported for running apps in the Alteryx Analytics Gallery
List Box
displays a multi-selection check box list in an app.
Radio Button
displays a mutually exclusive option in an app.
Drop Down
displays a single selection list in an app.
Sample
extracts a specified portion of the records in the data stream.
Filter In-DB
filters in-database records with a basic filter or with a custom expression using the database's native language (e.g., SQL).
Distribution Analysis
fits one or more distributions to the input data and compares them based on a number of Goodness-of-Fit* statistics.
Data Cleansing
fixes common data quality issues using a variety of parameters.
Tool Container
organizes tools in a workflow into a box, which can be collapsed or disabled.
Basic Data Profile
outputs basic metadata such as data type, min, max, average, number of missing values, etc.
Dynamic Output In-DB
outputs information about the in-database workflow to a standard workflow for predictive in-database processing.
Transpose
pivots the orientation of data in a table by moving horizontal data onto a vertical axis.
Crosstab
pivots the orientation of the data table and transforms the data so vertical data fields can be viewed on a horizontal axis, summarizing data where specified.
Filter
queries records and splits the data into two outputs, True (where the data meets the specified criteria) and False (where it does not).
Blob Input
reads a Binary Large Object such as an image or media file, by browsing directly to a file or passing a list of files to read.
XDF Input
reads data from an XDF (.xdf) file, which is the format used by Microsoft R ScaleR functions to scale predictive analytics to millions of records for either using the .xdf file as input to a predictive analytics tool or reading the file into an Alteryx data stream for further data cleansing or blending.
Dynamic Input
reads from an input database at runtime and dynamically chooses what records to read in.
Auto Field
reads through an input file and sets the field type to the smallest possible size relative to the data contained within the column.
Download
retrieves data from a specified URL to be used in downstream processing or to be saved to a file.
Count Records
returns a count of how many records are going through the tool.
Date Time Now
returns a single record: the Date and Time at the workflow runtime, and convert the value into the string format of the user's choosing.
Random % Sample
returns an expected number of records resulting in a random sample of the incoming data stream.
Oversample Field
samples incoming data so that there is equal representation of data values so they can be used effectively in a predictive model.
Find Replace
search for data in one field from one data stream and replace it with a specified field from a different stream. Similar to an Excel VLOOKUP.
Select Records
selects specific records and/or ranges of records including discontinuous ranges. It is useful for troubleshooting and sampling
Select In-DB
selects, deselects, reorders, and renames fields in an in-database workflow.
Create Samples
splits the input records into two or three random samples. Specify the percentage of records that are in the estimation and validation samples, and if the total is less than 100%, the remaining records fall in the holdout sample.
Block Until Done
stops downstream processing until all records come through. This tool makes it possible to overwrite an input file.
Data Stream Out
streams data from an in-database workflow to a standard workflow, with an option to sort the records.
Summarize In-DB
summarizes in-database data by grouping, summing, counting, counting distinct fields, and more. The output contains only the result of the calculations.
Dynamic Input In-DB
takes In-DB Connection Name and Query fields from a standard data stream and inputs them into an in-database data stream.
Plot of Means
takes a numeric or binary categorical field (with the binary categorical field converted into a set of zero and one values) as a response field along with a categorical field and plots the mean of the response field for each of the categories (levels) of the categorical field.
Blob Convert
takes different data types and either convert them to a Binary Large Object (Blob) or takes a Blob and converts it to a different data type.
Condition
tests for the presence of user selections and returns either a true or false result
Render
transforms report snippets into reports in .pdf, .html, .xslx, .docx, .rtf and .pcxml formats.
Detour End
unifies the data processes from an upstream Detour tool into a single stream for further analysis in analytic apps and macro.
Action
update the configuration of a workflow with values provided by interface questions, when run as an app or macro.
XDF Output
writes an Alteryx data stream to an XDF (.xdf) file, which is the format used by Microsoft R ScaleR functions to scale predictive analytics to millions of records.
Blob Output
writes out each record into its own file.
Output Data
writes the results of a workflow to a file or database.
