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This document is a walkthrough to create and edit an analytical model through the Sprngy UI.

Pre-requisites:

The list of tools required to run/develop in the UI are as follows:

1. Visual Studio Code (Developers only)

2. Python 3.8.10

3. Flask 1.1.4

4. Node 14.17.6

5. npm 7.24.1

6. R 3.6.3

7. Sprngy Libraries

Application is created in Admin UI using the Application Configuration screens and entities, relationships and processing preferences are defined in meta and ingest models. Data is available.

Analytical Model

An analytical model is used to create processors for a specific analytics. With analytical model one can execute commands on top of the processed data such as getting top 10 sales from a shopping centric use case.

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Here from the dropdown list select the module name for which you want to create the analytical model. Then click on create new in case of first time creating that processor else select the processor from the dropdown and click on 'Submit'.

Alternatively, using the Upload box, analytical model (in csv) format can be uploaded.

This checks the existence of a analytical model. If there is a previously created or even initiated analytical model then it will bring back that data, if creating analytical model for the very first time then provides blank fields for input.

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