SEDGE Documentation
====================

Welcome to the complete beginners guide to SEDGE! This document will guide you on a step by step basis to the complete documentation of SEDGE.

.. toctree::
   :maxdepth: 3
   :caption: Table of Contents:

   Introduction   
   Concepts
   Functionality
   Application access
   Basics
   Data analytics
   Data sources
   DB schemas and access
   ETL process
   File upload
   Data preview
   Profile Dataset
   Statistics- Numerical
   Statistics- Dates
   Statistics- Strings
   Statistics- Maths
   Statistics- Text
   Statistics- Data
   Statistics- Advanced
   Statistics- Boolean
   Statistics- Frequently Used
   Transformations
   Graphical Analysis
   DashPro
   Predictive Analytics
   Time series
   OCR
   Third Party acknowledgements
   Release notes
   Tables and charts



Introduction
============




.. image:: images/SEDGE.png
   :alt: SEDGE Logo
   :target: https://sedgeanalysis.solverminds.net/
   :class: with-shadow
   :scale: 100

SEDGE Logo


SEDGE is a machine learning, deep learning, and Artificial Intelligence (AI) online collaborative data science platform, created to explore data of your business, delivering simple, smart, and rapid decision making for complex analytics. SEDGE is an ideal tool for solving real-world business problems in a simple and intuitive way. With SEDGE, you will be able to run your predictions with great accuracy, make experienced decisions based on the forecasted results, and that add value to your business. Be ahead of your competitors and let the power of artificial intelligence help you with taking more accurate and science-based decisions. 

Challenges
==========

Users on a daily basis work with varied datasets, such as large relational data, or unstructured data involving text documents, or vision-related data, and build models for these data. The data sizes may run into Gigabytes, involving large dimensions and can involve a blend of text and vision data. SEDGE can help in simplifying the complexity around data analysis and model building and provide insights in a simple and intuitive manner. 

The Process
===========


Prediction of future trends or results is a key feature of the software, you can upload your data from CSV (comma separated values) files or from a database, afterward, you will preview the data, make a manual clean-up of the data in order to fit into the model which would be required for the purpose of your prediction. In the next step you can do the statistics, also erase some columns or other features that are not relevant for your prediction, and in the last stage visualize the data in various graphs and charts