Search: insert-data-table

duplicate rows in the data table. (* is mandatory) Properties Input Data Table (DataTable)* - The data table you want to check. Misc Public (Checkbox) - Check if you want to publicize it. Remember

Rows. Output Output Data Table(DataTable) - The column value from the specified DataRow.

Data Table

" %) ((( RCA.Activities.Core.RemoveDuplicatedRows == **Description** == This activity allows you to remove duplicate rows in the data table

** == **Input** * **Data Table (DataTable)* **- The data table you want to check. **Misc** * **Public

** * **Output Data Table(DataTable) **- The column value from the specified DataRow. ))) {{velocity

of activity File path (String) - You can add the file path of the CSV here. String supported only. Data Table (DataTable) - The data table you want to append. Properties File File Path (String)* - The file path of the CSV file E.g: “C:\CSVFolder\clientList.csv” Input Data Table (DataTable)* - Specifies the DataTable

of the CSV here. String supported only. * **Data Table (DataTable)** - The data table you want to append

\clientList.csv” **Input** * **Data Table (DataTable)*** - Specifies the DataTable to be appended to the CSV

)** - If you check it, the data of this activity will be shown in the log. Be careful, consider data security

the file path of the CSV here. String supported only. Data Table (DataTable) - Specifies the DataTable to be written in the CSV file. Properties Input Data Table (DataTable)* - Specifies the DataTable

\clientList.csv” Misc Public (CheckBox) - If you check it, the data of this activity will be shown in the log

** == * **File Path (String)** - You can add the file path of the CSV here. String supported only. * **Data Table (DataTable)** - Specifies the DataTable to be written in the CSV file. == **Properties** == **Input** * **Data Table (DataTable)*** - Specifies the DataTable to be written in the CSV file

want to add to the specified DataTable Object. String supported only. Data Table (DataTable

Public (Checkbox) - Check if you want to publicize it. Remember to consider data security requirements

to organize and structure your code better. Eg: Add Data Column Type Argument (Type) - A reference type

Add Data Column

add data column.jpg

Data Table

Add Data Column

to the specified DataTable Object. String supported only. * **Data Table (DataTable)*** - The DataTable object

DataTable. [[image:add data column.jpg||class="img-thumbnail"]] (* is mandatory) == **Properties

(Checkbox)** - Check if you want to publicize it. Remember to consider data security requirements before

RCA.Activities.Core.RemoveDataRow Description This activity allows you to remove a Data Row to a specified DataTable. (* is mandatory) Properties Input Data Row (DataRow)* - The DataRow object which is to be removed. Data Table (DataTable)* - The DataTable object from which the row is removed. Row Index (Int

Remove Data Row

remove data row.jpg

Data Table

Remove Data Row

" %) ((( RCA.Activities.Core.RemoveDataRow == **Description** == This activity allows you to remove a Data Row to a specified DataTable. [[image:remove data row.jpg]] (* is mandatory) == **Properties** == **Input** * **Data Row (DataRow)*** - The DataRow object which is to be removed. * **Data Table (DataTable

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

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