DGLogik dglux_v2_wiki:widgets:data_category
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2026-04-27T04:53:19+0000DGLogik
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https://wiki.dglogik.com/lib/tpl/bootstrap3/images/favicon.icotext/html2021-09-20T14:51:20+0000Anonymous (anonymous@undisclosed.example.com)Case Block
https://wiki.dglogik.com/dglux_v2_wiki:widgets:data_category:case_block?rev=1632149480&do=diff
Case Block
The Case Block allows you to compare an input value against multiple conditions, as well as define the resulting value for each condition.
Workflows
The first step when using the Case Block is to define how many cases you will need. The next step is to define what operation and value to use for each case. In the event that more than one condition is true, the result will be the first true condition that is met.text/html2021-09-20T14:51:20+0000Anonymous (anonymous@undisclosed.example.com)CSV Loader
https://wiki.dglogik.com/dglux_v2_wiki:widgets:data_category:csv?rev=1632149480&do=diff
CSV Loader
The CSV Loader is a component that allows you to bring in external data from a CSV source.
Workflows
The Standard Workflow for when using the CSV Loader is to first add the CSV file to the server (a process that can be completed via the File Management System). Once you've acquired a CSV Data source on your server, simply append the file path to the 'CSV Path' property of the widget. After you've defined the data source, you will now be able to use the CSV Table to bind to Repeate…text/html2021-09-20T14:51:20+0000Anonymous (anonymous@undisclosed.example.com)Date Formatter
https://wiki.dglogik.com/dglux_v2_wiki:widgets:data_category:date_format?rev=1632149480&do=diff
Date Formatter
The Date Formatter is a widget that allows you to transform a given Timestamp into a specified format for use in your dashboard.
Workflows
The Standard Workflow when using a Date Formatter is to first define the source for your timestamp. This is often a binding from a station point or column value. After defining the source for the timestamp, you then have the option to define exactly how the timestamp should be transformed before it is displayed on your dashboard.text/html2021-09-20T14:51:20+0000Anonymous (anonymous@undisclosed.example.com)Filter
https://wiki.dglogik.com/dglux_v2_wiki:widgets:data_category:filter?rev=1632149480&do=diff
Filter
The Filter is a commonly used widget when using tables within your dashboard. The filter widget allows you to filter, page, and sort a table based on parameters provided.
Workflows
The Standard Workflow when using a Filter Widget is to first define the source table by binding from another table. After a source table is defined, you can start applying different table transformations to the Input Table. For filtering, a simple expression would be something like "row == 0", or "rowtext/html2021-09-20T14:51:20+0000Anonymous (anonymous@undisclosed.example.com)Group By
https://wiki.dglogik.com/dglux_v2_wiki:widgets:data_category:group_by?rev=1632149480&do=diff
Group By
The Group By Widget allows you to group elements from the source table based on defined values, and also define how the other columns are rolled up.
Workflows
The Standard Workflow for using a Group By widget is to start by defining your source table. The next step is to decide what to group on. This value is typically a category name or timestamp. By defining a column to Group By, the output table will populate with multiple rows grouped depending on what is defined, effectively jo…text/html2021-09-20T14:51:20+0000Anonymous (anonymous@undisclosed.example.com)Data Category
https://wiki.dglogik.com/dglux_v2_wiki:widgets:data_category:home?rev=1632149480&do=diff
Data Category
Brief Description of Widget Category
Data Widgets
simple_ops Simple Operations math_expression Math Expression if_block If Block case_block Case Block timer Timer script Script Block filter Filter rollup Rollup date_format Date Formatter table_ops Table Operations table_gen Table Generator group_by Group By csv CSV Loader xml XML Loader json JSON Loadertext/html2021-09-20T14:51:20+0000Anonymous (anonymous@undisclosed.example.com)If Block
https://wiki.dglogik.com/dglux_v2_wiki:widgets:data_category:if_block?rev=1632149480&do=diff
If Block
The If-Block allows the user to create a simple If-Then statement by defining inputs, the operation to apply to the inputs, as well as the ability to define what true and false mean.
Workflows
The Standard Workflow when applying an If-Block is to decide the type of statement you want to apply to the given inputs. Most common uses are == (value 1 equals value 2) or != (value 1 equals not value 2). Once the statement has been defined, you have the option to further define exactly what…text/html2021-09-20T14:51:20+0000Anonymous (anonymous@undisclosed.example.com)JSON Loader
https://wiki.dglogik.com/dglux_v2_wiki:widgets:data_category:json?rev=1632149480&do=diff
JSON Loader
The JSON Loader allows you to bring in external content via a JSON Feed.
Workflows
The Standard Workflow when applying the JSON Loader to your dashboard is to first enter the URL to your JSON Feed, along with any parameters that may be required. Once you've loaded a specific feed, the next step is to define how the data is parced in DGLux. Once you've populated the Output Table with the data you've requested, the final step is to apply the data to your dashboard, typically done b…text/html2021-09-20T14:51:20+0000Anonymous (anonymous@undisclosed.example.com)Math Expression
https://wiki.dglogik.com/dglux_v2_wiki:widgets:data_category:math_expression?rev=1632149480&do=diff
Math Expression
The Math Expression Widget allows the user to define up to 10 variables, as well as the complex (or simple) math expression to apply to the given values.
Workflows
When setting up a Math Expression Block, the first step is to decide what type of math expression you want to apply by defining it in the Expression field. The next step is to either set the value of, or bind to each individual variable used within the expression.text/html2021-09-20T14:51:20+0000Anonymous (anonymous@undisclosed.example.com)Rollup
https://wiki.dglogik.com/dglux_v2_wiki:widgets:data_category:rollup?rev=1632149480&do=diff
Rollup
The Rollup Widget allows you to transform a table of historical data by rolling up rows of data based on timestamp.
Workflows
The Standard Workflow for applying a Rollup Widget is to first define the source data table. Next, define the date range to use (effectively trimming excess data from your input table), as well as the interval to roll up on. Under the Columns Accordion, you will need to define which column is the date field, and which columns will be rolled up (and how). Once y…text/html2021-09-20T14:51:20+0000Anonymous (anonymous@undisclosed.example.com)Script Block
https://wiki.dglogik.com/dglux_v2_wiki:widgets:data_category:script?rev=1632149480&do=diff
Script Block
The Script Block is one of the most versatile components in DGLux, by allowing you to utilize dynamic properties created on the Script Block as variables within the script. This effectively allows you to create anything from simple logic comparison, math formula's, and complex data transformation.text/html2021-09-20T14:51:20+0000Anonymous (anonymous@undisclosed.example.com)Simple Operations
https://wiki.dglogik.com/dglux_v2_wiki:widgets:data_category:simple_ops?rev=1632149480&do=diff
Simple Operations
The Simple Operations Block allows you to perform a simple math expression, a numeric rounding on a given value, or a concatenation of up to 3 values.
Workflows
The Standard Workflow when using the Simple Operations Block is to decide which operation you want to use, if not all three. When setting up a Math Expression, you have the option to define inputs 1 & 2, as well as the operation you wish to apply. For numeric rounding, simply set the input value, and define how much…text/html2021-09-20T14:51:20+0000Anonymous (anonymous@undisclosed.example.com)Table Generator
https://wiki.dglogik.com/dglux_v2_wiki:widgets:data_category:table_gen?rev=1632149480&do=diff
Table Generator
The Table Generator allows you to define a set amount of rows to appear in the output table.
Workflows
The Standard Workflow for using the Table Generator is to first decide how many rows you want to work with. The next step is usually to create formula or binding columns within the generated table to simulate, calculate, bind, or join data within a single table.text/html2021-09-20T14:51:20+0000Anonymous (anonymous@undisclosed.example.com)Table Operations
https://wiki.dglogik.com/dglux_v2_wiki:widgets:data_category:table_ops?rev=1632149480&do=diff
Table Operations
The Table Operations Widget is a powerful widget that allows you to edit, create, delete, and append data within a given table. By using row index and filtering properties, the user can call upon a specific row / column, and edit the data contained.text/html2021-09-20T14:51:21+0000Anonymous (anonymous@undisclosed.example.com)Time Machine
https://wiki.dglogik.com/dglux_v2_wiki:widgets:data_category:time_machine?rev=1632149481&do=diff
Time Machine
Simple Widget Description
Workflows
Standard Use of Widget Description
Properties
Preview Property Description
Demo
Sample Video of Widget in Usetext/html2021-09-20T14:51:21+0000Anonymous (anonymous@undisclosed.example.com)Timer
https://wiki.dglogik.com/dglux_v2_wiki:widgets:data_category:timer?rev=1632149481&do=diff
Timer
Simple Widget Description
Workflows
Standard Use of Widget Description
Properties
Preview Property Description Timer Enabled If Enabled, Timer will Start Delay Specify, in milliseconds, the delay between each Elapsed Count Repeat Counttext/html2021-09-20T14:51:21+0000Anonymous (anonymous@undisclosed.example.com)XML Loader
https://wiki.dglogik.com/dglux_v2_wiki:widgets:data_category:xml?rev=1632149481&do=diff
XML Loader
The XML Loader allows you to bring in external content via an XML Feed.
Workflows
The Standard Workflow when applying the XML Loader to your dashboard is to first enter the URL to your XML Feed, along with any parameters that may be required. Once you've loaded a specific feed, the next step is to define how the data is parced in DGLux. Once you've populated the Output Table with the data you've requested, the final step is to apply the data to your dashboard, typically done by bi…