Many eyes @Vgsom
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The document discusses Vinod Gupta School of Management at Indian Institute of Technology Kharagpur. It lists the names and roll numbers of two students - Ramya Krishna P with roll number 10BM60056 and Soujanya Kodati with roll number 10BM60039.
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Many eyes @Vgsom
- 1. Vinod Gupta School of Management Indian Institute of Technology, Kharagpur Click here for Tutorial Name Roll No Ramya Krishna P 10BM60056 Soujanya Kodati 10BM60039 Vinod Gupta School of Management IIT Kharagpur
- 2. Agenda • Many Eyes • Visualizations •Creating your own visualization • Data sets • Visualization • Pros and Cons
- 3. • Visualization tool – backed by IBM • Generic data visualization techniques adapted to heterogeneous data sources • More than 100,000 data visualizations and 270,000 data sets • Visual representation of large amounts of data • Collaborative platform for sharing knowledge • Easy to use, interactive, time saving • Many Eyes in 60 seconds
- 4. Visualizations Purpose Visualization type Relationships among data points Scatter plot, Matrix chart, network diagram Comparing a set of values Bar chart, Histogram, Bubble chart Tracking rises and falls over time Line graph, Stack graph See the parts of a whole Pie chart, Tree map Analyzing text Word tree, Tag cloud, Phrase net, Word Cloud generator See the world World map
- 5. Creating your own visualizations • Many Eyes is an online tool available at http://www-958.ibm.com • Create a login account • Now, you can create a visualization in three easy steps Choose a Choose a Customize data set visualization and publish • Demo
- 6. Choosing a data set • Go to ‘upload a data set’ under ‘Participate’ tab • Prepare your data • Paste the data • Check for correctness • Describe the data • Disclaimer : anything you upload will be visible to everyone on the internet!
- 7. Dot your ‘i’s, Cross your ‘t’s Fruit Cost Fruit Cost ($) Apple $ 1.00 Apple $ 1.00 Banana $ 1.40 Banana $ 1.40 Cheese Bread Cheese: Cheese: Bread: Bread: Cost($) Calories Cost($) Calories Cost($) Calorie Cost($) Calorie 3.24 200 1.29 120 3.24 200 1.29 120 3.31 200 1.91 130 3.31 200 1.91 130
- 12. Customize and publish!! • Customize your visualizations based upon various attributes in the data set. • Publish your visualization • Get rated for your visualization and data set
- 13. Pros and cons Pros Cons • Huge variety of visualizations • Eats up your memory • Explore others’ data sets and • Might crash your browser visualizations • Garbage In, Garbage Out! • Allows analysis of complex data • Community based • Just needs a java-enabled browser • No softwares to download, no softwares to install • To top it all, it is FREE!