DATA ANALYSISBasic Data Modeling and

Evaluation

Md Main Uddin RonySoftware Engineer, Infolytx, Inc.

Outlines

What is this? Steps of Data Analysis

Tool’s overview, History It’s offerings Why should we use it?

Download Introduce its interface Building a Model Evaluate the Model

Little Insight Of Data Analysis

Introduction of a Data Analysis Tool

Hands-On of The Tool

Data AnalysisAnalysis of data is a process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making. (From Wikipedia)

❏ Acquiring meaningful insights from dataset

❏ Structuring the findings from survey research or other means of data collection

❏ Break a macro picture into a micro one

❏ Basing critical decisions from findings

❏ Ruling out human bias through proper statistical treatment

❏ Used in industries to allow companies and organization to make better business decisions

❏ Used to determine whether the system in place effectively protect data, operate efficiently and succeed in accomplishing an organization’s goal

And,

Data Analysis and Data Mining are not same!!!!!!

Steps of Data Analysis

Rapidminer❏ Most powerful, easy to use and intuitive graphical user interface for the design of analytical processes

❏ Formerly known as YALE (Yet Another Learning Environment)

❏ Developed in 2001 by Ralf Klinkenberg, Ingo Mierswa and Simon Fischer

❏ YALE changed to RapidMiner in 2007

What RapidMiner can Offer?❏ An integrated environment written in Java for

- machine learning

- data mining

- text mining

- predictive analysis

- business analytics

❏ Provides a GUI to design and execute analytical workflows (Process, Operator)

❏ Provides 99% of an advanced analytical solution through template-based frameworks that speed delivery and

reduce errors

❏ Nearly eliminates the need to write code

Why Should Use Rapidminer?❏ Powerful due to its learning operators and operator framework

❏ Easy to extend for Java programmers

❏ Stable

❏ Scalable

❏ Algorithms are optimized for speed

❏ Great visualization tools

❏ Available tools for data preprocessing

❏ Better community (http://rapid-i.com/)

❏ Better Debugging

❏ Wide range of supported file format

❏ Hadoop integration easy

Download RapidMiner❏ Open source

❏ Easy to download and set up

❏ Link: https://rapidminer.com/products/studio/

RapidMiner Interface

Building Model Using RapidMiner

1. Importing Data

2. Visualizing Data

3. Creating a Model

4. Applying a Model

5. Evaluation of the Model

Business Understanding Data Understanding

Data Preparation

Modeling

Evaluation

Deployment Data

QUESTION?

THANK YOU