Practical 3

Introduction to Orange Tool

Theory:

1. What is an orange tool? What can you do with it?

Orange is an open-source data visualization, machine learning and data mining toolkit. It features a visual programming front-end for explorative rapid qualitative data analysis and interactive data visualization.

2. Its advantages and disadvantages. 

Advantages:

            * Graphics and analysis direct you clearly to conclusions/results.

            *Used in human resource planning, need of training in human resource development.

            *Advance analysis is not so easy, it does not give any error even on wrong data.  

 

         Disadvantages:

             *Some times slower the system while working on data.

            *Analyzed visuals of unemployment vs employed life's essential to get motivational reforms.             

3. Comparison of this tool with its peers.

Importing tabular data:

1. Start Orange.

2. Add file widget into the canvas.

3. Select data source file.

4. Add different data visualization widgets

 5. Connect file widget with other visualization widgets

6. Visualize the output by clicking widget.

Box plot

Distributions

Scatter Plot

Line Plot

Liner Projection

Answer the following questions:

1. Is this tool easy to use compared to its peers?

Yes, It provides an easy drag and drop visual programming facility.

2. Are there any other tools available which provide more features than this tool?

Yes there are two tools available which provides more feature than this tool

1. Tableau : OLAP,Relational Display

2. Looker : Content Management

3. List some other open-source tools for data analytics.

1. Apache manhout

2. Datamelt

3. Elki

4. Knime

5. Rattle

6. Weka

Reference