Search: clear-data-table

Step 1: Navigate to the Data tab of the desired entity in Data Service. Step 2: To apply more filters on your results list, click Advanced Filter. The pop-up Advanced Filter will open Step 3: User

a conditions, click the corresponding Delete icon or if you want to clear all filter, click Clear all

[8] Advanced Filter in Data Service

Data Service

[2] How to use Data Service

[8] Advanced Filter in Data Service

(% class="box infomessage" %) ((( **Step 1: ** Navigate to the **Data** tab of the desired entity in Data Service. ))) [[image:image-20230630132517-1.png]] (% class="box infomessage" %) ((( **Step 2

to clear all filter, click **Clear all conditions** button ))) 1. Click **Filter** to rerun the search

Table Tabs Well Data Include components used to collect data Hidden Container Data map Data grid Edit

the ability to collect user data UI components are divided into 5 main groups, based on their functions

to fill in. Then click Save when you are done. The below table describes frequently used configure

|((( * HTML element * Content * Columns * Field set * Panel * Table * Tabs * Well ))) |Data|Include components used to collect data|((( * Hidden * Container * Data map * Data grid * Edit grid * Tree ))) |Premium

provide users the ability to collect user data [[image:1695034818758-663.png||height="379" width="1014

and choose data type is "Table". Step 3: (This step is optional) Turn on button "Required" to set require

and data type for each column Step 6: Click "Save" button Table of Content

and Table Field 1. Add Form Field Step 1: On Add Learning Instance screen, click "Add Field" button

the table name on "Label" field and choose data type is "Table". ))) [[image:image-20221028164141-11.png

types of fields: Form Field and Table Field == **1. Add Form Field** == (% class="box infomessage

the field name on "Label" field and choose data type for field on "Data Type" field ))) [[image:image

based upon the value entered in the ROI data set table, as well as the days until your defined goal

the Manual Time value entered in the ROI data set table. Goal Input Static display of your defined

to date, based upon the Manual Time value entered in the ROI data set table. Displays the Top 10

 value entered in the **ROI data set table**. ))) |((( **Goal ** )))|((( Input )))|((( Static display

in the **ROI data set table**. ))) |((( **Cumulative Time Saved** )))|((( Column Chart )))|((( Total time saved

** )))|((( Input )))|((( Displays the current total of money saved based upon the value entered in the **ROI data

status). Find that all the extracted data is ok, they can click Confirm button then this document

not be retried when it is on Deleted status. On the Delete tab, document will be auto-clear after a specific day that is configured on Pipeline settings or the document can be cleared manually

to the Postponed tab (Switching to Postponed status). * Find that all the extracted data is ok, they can click

). The document can not be retried when it is on Deleted status. On the Delete tab, document will be auto-clear after a specific day that is configured on Pipeline settings or the document can be cleared manually

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 can click "+" icon To delete a row, you can click "x" icon To add a new row at the end of the table

="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

, 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

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

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

1. Introduction This document will guide you on how to install Data Service on Linux (Ubuntu

needed to run on your system: akabot_dataservice, akabot_userdata. Data Service web service

Table of Content

Data Service

[3] Data Service Installation

** === This document will guide you on how to install Data Service on Linux (Ubuntu) server. === **2. System

))) There are two database schemas needed to run on your system: akabot_dataservice, akabot_userdata. Data Service

: [email protected] ))) (% class="akb-toc" %) ((( (% class="akb-toc-title" %) ((( Table of Content