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Sunday, 24 March 2013

ITBAL Session # 9 ( Data Visualization)


ITBAL Session # 9 ( Data Visualization)

Many Eyes:

Developed by IBM, Many Eyes allows you to quickly build visualizations from publicly available or uploaded data sets, and features a wide range of analysis types including the ability to scan text for keyword density and saturation. 



Visualization Options Available in Many Eyes






Choosing a visualization type: 


Analyze a text 

Word Tree 

See a branching view of how a word or phrase is used in a text. Navigate the text by zooming and clicking.

Tag Cloud 

How are you using your words? This enhanced tag cloud will show you the words popularity in the given set of text.
Learn more  

Phrase Net 

Display networks of related words and ideas.

Word Cloud Generator 

Word Cloud Generator is a toy for generating “word clouds” from text that you provide. The clouds give greater prominence to words that appear more frequently in the source text.

Compare a set of values 


Bar Chart 

How do the items in your data set stack up? A bar chart is a simple and recognizable way to compare values. You can display several sets of bars for multivariate comparisons.

Block Histogram 

This versatile chart lets you get a quick sense of how a single set of data is distributed. Each item in the data is an individually identifiable block.

Bubble Chart 

Have so many items that your bar chart is baffling? Do the values vary so much that one bar pushes to the top of the screen while another virtually disappears? Try our bubble chart, which displays values as circles of different sizes.

See relationships among data points 


Scatter Plot 

Point one variable across the x-axis, the other up the y-axis. The size of a dot can represent a third variable. The classic scatterplot gives you a bird's eye view of how your factors relate to each other.
  
Matrix Chart 

A grid-based view of multidimensional data.
Learn more  

Network Diagram 

Is your data all about relationships? Take a set of links -- say flight departure and arrival points or romantic pairings -- and see the connections laid out as a network.
Learn more  

See the parts of a whole 

Pie Chart 

Each component is a slice of the big pie. A simple and popular classic.

Treemap 

The pie chart's big brother. Treemaps divide up a rectangle into hierarchical categories, letting you see relationships among large numbers of components. This lets you get an overview of a complex whole -- and drill down.

Treemap for Comparisons 

Want to map a comparison of now vs. then? City vs. highway? Decaf vs. regular? This version of the treemap lets you directly compare two different takes on a set of categorized items.


Track rises and falls over time 

Line Graph 

Put the value you're measuring on the y-axis and draw lines to watch items change over time. (Think stock prices.)

Stack Graph 

Track the changing values of items that add together to make a whole, like the components of a budget or the sales figures of multiple divisions. Also known as an "area chart."

Stack Graph for Categories 

This version of the stacked graph is designed for items arranged into a set of categories and subcategories.



Data Set :  World Development Indicators ( Source: World Bank)
                                http://goo.gl/2iWnI




Data Visualization 


Bubble Chart :



Scatter Plot :



Pie Chart :



Customizing Stack Graph for Categories:




Visualizing Your Data With IBM’s Many Eyes :

Many Eyes is a powerful tool that enables a user to create visualizations from any kind of data set.

Here’s where it gets fun: while a user can upload their own data set, Many Eyes is a community-powered tool. There are over 150,000 data sets to choose from, and many are pre-visualized.

Topic Centers allow teams of people to collaborate on visualizations. Topic Centers are organized around certain topics  as well as teams of people at organizations and classes.

But selecting a dataset from the community is not always the best option: the metadata associated with many of the datasets is inaccurate or incomplete. Rest assured, because what makes Many Eyes such a versatile tool is that any type of data is accepted, so long as it is in a structured format. Data needs to be pre-formatted in Microsoft Excel (or similar spreadsheet software), then pasted into Many Eyes’ Web interface.

Then the user is presented with an array of visualization options, from tag clouds and word trees to assorted graphs and even maps.

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