検索：insert-data-table

. E.g: “A10” Data Table - The data that you want to write to the specified range, as a DataTable variable. Only DataTable variables are supported. Properties Input Data Table (DataTable)* - The data

RCA.Activities.Excel.ExcelWriteRange Description This activity allows you to write the data from

and strings are supported. E.g: “A10” * **Data Table** - The data that you want to write to the specified

** * **Data Table (DataTable)*** - The data that you want to write to the specified range, as a DataTable

" %) ((( RCA.Activities.Excel.ExcelWriteRange == **Description** == This activity allows you to write the data from a DataTable variable

in edit mode. Select Data Source. Search jhi_dataset table and drag it to the data source interface. Select a relationship with an existing table on the data source interface.

Dataset The default columns in the Business Dataset table are Manual Time and Hourly Cost. You can also

[1] ROI data set

in edit mode. 1. Select **Data Source**. 1. Search **jhi_dataset **table and drag it to the data source interface. 1. Select a relationship with an existing table on the data source interface. ))) {{velocity

** == The default columns in the **Business Dataset** table are **Manual Time** and **Hourly Cost**. You can also

RCA.Activities.ComputerVision.CVTableExtract Description Extracts a table that is visible

to consider data security requirement before using this property. Display Name (String) - The name

] CV Table Extract Output Result (DataTable) - The retrieved table, stored in a DataTable variable

CV Table Extract

CV Table Extract

" %) ((( RCA.Activities.ComputerVision.CVTableExtract == **Description** == Extracts a table that is visible on the screen and stores

) **- Check if you want to public the activity. Remember to consider data security requirement before using

to organize and structure your code better. E.g: [201135155] CV Table Extract **Output** * **Result

in the DataTable. Data row (DataRow) - The DataRow object to be added to the DataTable. If this property is set, then the ArrayRow property is ignored. Data Table (DataTable)* - The DataTable object in which you want to add

RCA.Activities.Core.AddDataRow Description This activity allows you to add a Data Row

Add Data Row

add data row.jpg

Data Table

Add Data Row

is ignored. * **Data Table (DataTable)*** - The DataTable object in which you want to add a column

" %) ((( RCA.Activities.Core.AddDataRow == **Description** == This activity allows you to add a Data Row to a specified DataTable. [[[[image:add data row.jpg]]>>attach:add data row.jpg]] (* is mandatory) == **Properties** == **Input

, data tables or other types of collections. (* for Mandatory) Properties Input Values (IEnumerable)*- Iterate through the data and process each piece of information individually. Able to input variable

it, the data of this activity will be shown in the log. Be careful, consider data security before using

" %) ((( RCA.Activities.Core.ForEach == **Description** == This activity allows you to loop through arrays, lists, data tables

) == **Properties** == **Input** * **Values (IEnumerable)***- Iterate through the data and process each piece

. E.g: [389861710] For Each < T > * **Public (Checkbox)** - If you check it, the data of this activity

is ignored. Eg: “Phone Number”. Data table (DataTable)* - The DataTable object from which the column is to be removed. Misc Public (Checkbox) - Check if you want to publicize it. Remember to consider data security

RCA.Activities.Core.RemoveDataColumn Description This activity allows you to remove a Data

Remove Data Column

remove data column.jpg

Data Table

Remove Data Column

Number”. * **Data table (DataTable)*** - The DataTable object from which the column is to be removed

" %) ((( RCA.Activities.Core.RemoveDataColumn == **Description** == This activity allows you to remove a Data Column to a specified DataTable. [[[[image:remove data column.jpg]]>>attach:remove data column.jpg]] (* is mandatory

documents to extract data. Staff can create a new learning model by following these below steps: Step 1

choose base model, staff will have to create form fields and table from scratch Step 5: Click "Save

. With the Form Fields, staff should label both "Label" and "Value" for each field if having enough data

, send the learning models to production and use them to run on actual documents to extract data. Staff

||cursorshover="true"]] * If staff doesn't choose base model, staff will have to create form fields and table

" for each field if having enough data in documents. This helps the model will extract data more exactly

it (*For mandatory) In the body of activity URL to be inserted (String)* - The URL that you want to open

) - Check if you want to public it. Remember to consider data security requirement before using it. Default

]] (*For mandatory) == **In the body of activity** == * **URL to be inserted (String)*** - The URL that you want

want to public it. Remember to consider data security requirement before using it. Default is uncheck

-toc" %) ((( (% class="akb-toc-title" %) ((( Table of Content ))) {{toc depth="4" start="2"/}} ))) #end

to public it. Remember to consider data security requirement before using it. Display Name (String

. E.g: Get Workbook Sheets Table of Content Output Sheet (List< String >) - List of string

) **- Check if you want to public it. Remember to consider data security requirement before using

" %) ((( Table of Content ))) {{toc depth="4" start="2"/}} ))) ))) **Output** * **Sheet (List< String

Each Pipeline defines the structure of Data fields that akaBot Vision extracts. Description When editing this structure you have two options: Use pre-trained Data fields – AkaBot Vision’s Generic AI engine has been pre-trained to recognize specific Data fields and enables you to start extracting data

[3] Configure Fields for Data Extraction

Customizing Data Extract

Configuring Fields for Data Extraction

="wikigeneratedid" id="HParagraph1" %) Each Pipeline defines the structure of Data fields that akaBot Vision

options: * Use pre-trained Data fields – AkaBot Vision’s Generic AI engine has been pre-trained to recognize specific Data fields and enables you to start extracting data without any additional training