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- 1. DATA VIZUALIZATION A BRIEFINTRODUCTION PRESENTED BY:- ANUSHKA GUPTA ARVIND PUNIA DIVEK BHATIA PARUL NIMESH RISHABH SINGH SHIVAM AGGARWAL
- 2. WHAT IS DATAVIZUALIZATION ? • Data visualization is the presentation of data in a pictorial or graphical format. • It enables decision makers to see analytics presented visually, so they can grasp difficult concepts or identify new patterns. • With interactive visualization, you can take the concept a step further by using technology to drill down into charts and graphs for more detail, interactively changing what data you see and how it’s processed.
- 3. History of DataVisualization • The concept of using pictures to understand data has been around for centuries, from maps and graphs in the 17th century to the invention of the pie chart in the early 1800s. • Several decades later, one of the most cited examples of statistical graphics occurred when Charles Minard mapped Napoleon’s invasion of Russia. • The map depicted the size of the army as well as the path of Napoleon’s retreat from Moscow – and tied that information to temperature and time scales for a more in-depth understanding of the event.
- 5. Why is datavisualization important? The way the human brain processes information, using charts or graphs to visualize large amounts of complex data is easier than poring over spreadsheets or reports. Data visualization is a quick, easy way to convey concepts in a universal manner – and you can experiment with different scenarios by making slight adjustments. Data visualization can also: Identify areas that need attention or improvement. Clarify which factors influence customer behavior. Help you understand which products to place where. Predict sales volumes.
- 6. Data visualization: Makingbig data approachable and valuable • The insight gained from big data – everything from knowing what factors influence customers to make a purchase to pinpointing behavior patterns that can lead to fraud or misuse – can help organizations improve operations and identify new opportunities. • But getting to that payoff can be a challenge, because big data is voluminous and tends to evolve, making it challenging to get a handle on.
- 7. Regardless of industryor size, all types of businesses are using data visualization to help make sense of their data. 1.Comprehend information quickly By using graphical representations of business information, businesses are able to see large amounts of data in clear, cohesive ways – and draw conclusions from that information. And since it’s significantly faster to analyze information in graphical format (as opposed to analyzing information in spreadsheets), businesses can address problems or answer questions in a more timely manner. How Is It Being Used?
- 8. 2.Identify relationships andpatterns Even extensive amounts of complicated data start to make sense when presented graphically; businesses can recognize parameters that are highly correlated. Some of the correlations will be obvious, but others won’t. Identifying those relationships helps organizations focus on areas most likely to influence their most important goals. 3.Pinpoint emerging trends Using data visualization to discover trends – both in the business and in the market – can give businesses an edge over the competition, and ultimately affect the bottom line. It’s easy to spot outliers that affect product quality or customer churn, and address issues before they become bigger problems. 4.Communicate the story to others Once a business has uncovered new insights from visual analytics, the next step is to communicate those insights to others. Using charts, graphs or other visually impactful representations of data is important in this step because it’s engaging and gets the message across quickly. Conti…
- 9. Laying the groundworkfor data visualization Before implementing new technology, there are some steps you need to take. Not only do you need to have a solid grasp on your data, you also need to understand your goals, needs and audience. Preparing your organization for data visualization technology requires that you first: •Understand the data you’re trying to visualize, including its size and cardinality (the uniqueness of data values in a column). •Determine what you’re trying to visualize and what kind of information you want to communicate. •Know your audience and understand how it processes visual information. •Use a visual that conveys the information in the best and simplest form for your audience.
- 10. Tools for datavisualization • Tableau Software • Tableau Software is perhaps the best known platform for data visualization across a wide array of users • This company, founded in 2003, offers a family of interactive data visualization products focused on business intelligence. The software is offered in desktop, server, and cloud versions.There's also a free public version used by bloggers, journalists, quantified-self hobbyists, sports fans, political junkies, and others.
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- 12. SAS Visual Analytics SASis one of the traditional vendors in the advanced analytics space, with a long history of offering analytical insights to businesses. SAS Visual Analytics is among its many offerings. The company offers a series of sample reports showing how visual analytics can be applied to questions and problems in a range of industries. Examples include healthcare claims, casino performance, digital advertising, environmental reporting, and the economics of Ebola outbreaks.
- 14. Use of datavisualization in industry Stock market
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- 18. Future of datavizualization Data visualization is entering a new era. Emerging sources of intelligence, theoretical developments and advances in multidimensional imaging are reshaping the potential value that analytics and insights can provide, with visualization playing a key role. The vast majority of data visualizations today are two-dimensional. However, that’s changing with creative use of color and size, combination of space and time, and advanced computer graphics. For instance, neuroscientists Emmanuelle Tognoli and Scott Kelso developed a five-dimensional model known as the 5-D colorimetric technique, that provides a dynamic and comprehensive view of brain activity through spatiotemporal display and color coding. Another example is Microsoft’s Holograph, an interactive 3-D platform that can render static and dynamic images above or below a plane for more natural exploration and manipulation of complex data.
- 19. 5- D colorimetrictechnique
- 20. As the worldbecomes increasingly interconnected and interdependent, opportunities to generate value through data visualization will only increase. The Internet of Things will have a profound effect on the role that data visualization can play in organizations and society, improving our ability to understand how humans and machines interact with each other and the environment. Application of evolving cognitive frameworks, such as Network and Complexity Theories, will help us better reflect dynamic and intricate structural dependencies. And advances in multidimensional visualization will allow us to more effectively synthesize and explore spatiotemporal conditions. CONCLUSION
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