Search: remove-data-column

RCA.Activities.Core.BuildDataTable Description This activity allows you to create a new Data Table with different settings. In the body of activity Data Table - Click to add/ remove columns, update column name/ column type Properties Misc Public (Checkbox) - Check if you want to publicize

Build Data Table

build data table.jpg

Data Table

Build Data Table

" %) ((( RCA.Activities.Core.BuildDataTable == **Description** == This activity allows you to create a new Data Table with different settings. [[[[image:build data table.jpg||class="img-thumbnail"]]>>attach:build data table.jpg]] == **In the body of activity** == **Data Table **- Click to add/ remove columns, update column name/ column type

. Select Columns Mode – Specifies whether to filter the table by keeping or removing the target columns

or columns according to the logical conditions that are specified in the wizard. The body of the activity

. (* is mandatory) In the body of activity Filter Wizard - Set filter for rows, set output columns Properties

Filter Data Table

filter data table.jpg

Data Table

Columns Mode** – Specifies whether to filter the table by keeping or removing the target columns

conditions in the Filter Wizard window. The activity can keep or delete rows or columns according

button so that you can access the wizard and customize your settings at any time. [[[[image:filter data

) In the body of activity Configure Connection - Set connection string, data source, data provider. Data Table - The DataTable variable that will be inserted into the Table. The DataTable columns' names and descriptions must match the ones from the database table. Table Name - The SQL table in which the data

Insert Data Table

Insert Data Table

]] (* for Mandatory) == **In the body of activity** == * **Configure Connection **- Set connection string, data source, data provider. [[image:https://docs.akabot.com/bin/download/Activities/Database/Activities/Database%20Connect/WebHome/image-20230419153435-1.png?rev=1.1||alt="image-20230419153435-1.png"]] * **Data

1. Create an Account Note: Although akaBot Vision currently supports Pre-trained data fields only for Invoice processing, the technology is documented agnostic and can extract data from any

customizable, so you can add/group/remove pipelines as needed. Table of Content

currently supports Pre-trained data fields only for Invoice processing, the technology is documented agnostic and can extract data from any structured document including receipts, purchase orders, shipping

-20220420182302-1.png||alt="image-20220420183141-4.png" data-xwiki-image-style-alignment="center"]] **Step 2

After importing the document successfully and the data extraction process is successfully finished

, akaBot Vision provides users with the capability to add or remove rows in a table To insert a row, you

Shortcuts When reviewing documents in akaBot Vision, there are multiple ways of moving between data fields

="wikigeneratedid" %) After importing the document successfully and the data extraction process is successfully

with this status in the “To review” tab in the user interface. [[image:image-20220420193327-1.png||data-xwiki

in each field that has been detected incorrectly [[image:image-20220420193327-2.png||data-xwiki-image

When you send a document to the pipeline, akaBot Vision will immediately start to extract the data from it. Description During this stage, the document has an importing status. In case something

will be removed and the new documents will appear in the pipeline. Those documents need to be reprocessed by AI

the data from it. == **Description** == (% class="wikigeneratedid" %) During this stage, the document has an importing status. (% style="text-align:center" %) [[[[image:image-20220420191058-1.png||data-xwiki-image

" %) [[[[image:image-20220420191111-2.png||data-xwiki-image-style-alignment="center"]]>>attach:image-20220420191111-2