This will explain you what is data visualization,why we need it,what are the technologies in it ,tools available for it and it ends up with how can we get the excellence in visualization

1. EXCELLENCE IN
VISUALIZATION
BY
ARCHANA.M
II-MSC(CS)
DEPARTMENT OF CS & IT
NADAR SARASWATHI COLLEGE OF
ARTS AND SCIENCE

2. THIS
INCLUDES:
Introduction
Why is data visualization important?
The different types of visualizations
Data visualization tools
What are data visualization techniques?
What are data visualization examples?
What is the scope of data visualization in business?
Principles for data visualization
Achieving excellence in data visualization
Conclusion

4. INTRODUCTION:
Data visualization is the graphical representation of information and
data.
By using visual elements like charts, graphs, and maps, data
visualization tools provide an accessible way to see and understand
trends, outliers, and patterns in data.
In the world of big data, data visualization tools and technologies
are essential to analyze massive amounts of information and make
data-driven decisions.

5. CONT.,
 In simple words, data visualization is a graphical
representation of any data or information.
 Visual elements such as charts, graphs, and maps are the few data
visualization tools that provide the viewers with an easy and accessible
way of
understanding the represented information.
 In this world governed by big data, data visualization enables you or
decision-makers of any enterprise or industry to look into analytical reports
and
understand concepts that might otherwise be difficult to grasp.

7. WHY IS DATA VISUALIZATION IMPORTANT?
Easily, graspable information
Establish relationships
Share
Interactive visualization
Intuitive, personalized, updatable

8. THE DIFFERENT TYPES OF VISUALIZATIONS
Common general types of data visualization:
Charts
Tables
Graphs
Maps
Infographics
Dashboards

9. MORE SPECIFIC EXAMPLES OF METHODS TO
VISUALIZE DATA:
Area chart
Bar chart
Box-and-whisker plots
Bubble cloud
Bullet graph
Cartogram
Circle view
Dot distribution map
Gantt chart
Heat map
Highlight table
Word cloud
Histogram
Matrix
Network
Polar area
Radial tree
Scatter plot (2D or 3D)
Streamgraph
Text tables
Timeline
Tree map
Wedge stack graph

11. DATA VISUALIZATION TOOLS
There are dozens of tools for data visualization and data analysis. These range
from simple to complex, from intuitive to obtuse.
Not every tool is right for every person looking to learn visualization techniques, and not
every tool can scale to industry or enterprise purposes.
If you’d like to learn more about the options, feel free to read up here or dive into
detailed third-party analysis like the Gartner Magic Quadrant.
Also, remember that good data visualization theory and skills will transcend specific
tools and products. When you’re learning this skill, focus on best practices and explore
your own personal style when it comes to visualizations and dashboards.
Data visualization isn’t going away any time soon, so it’s important to build a foundation
of analysis and storytelling and exploration that you can carry with you regardless of the
tools or software you end up using.

12. WHAT ARE DIFFERENT DATA VISUALIZATION
TOOLS?
Data visualization tool helps in, well, visualizing data. Using these tools,
data and information can be generated and read easily and quickly. Many
data visualization tools range from simple to complex and from intuitive to
obtuse.
Tableau desktop – A business intelligence tool which helps you in
visualizing and understanding your data.
Zoho reports – zoho reports is a self-service business intelligence (BI)
and analytics tool that enables you to design intuitive data visualizations.

13. CONT.,
Microsoft power BI – Developed by Microsoft, this is a suite of
business analytics tools that allows you to transform information
into visuals.
MATLAB – A detailed data analysis tool that has an easy-to-use
tool interface and graphical design options for visuals.
Sisense – A BI platform that allows you to visualize the
information to make better and more informed business decisions.

14. WHAT ARE DATA VISUALIZATION
TECHNIQUES?
Know the target audience
Create a goal
Choose the chart type
Context
Use tools

15. WHAT ARE DATA VISUALIZATION EXAMPLES?
Government budget
World population
Profit and loss
Films and dialogues
Anscombe’s quartet

16. WHAT IS THE SCOPE OF DATA VISUALIZATION
IN
BUSINESS?
Display and reports
Operational alerting
Mind maps
Business growth
Other sectors

17. PRINCIPLES FOR DATA VISUALIZATION
Much of this section is based on the work of Edward Rolf Tufte, an
American statistician and professor emeritus of political science,
statistics, and computer science at yale university.
He is noted for his writings on information design and as a pioneer
in the field of data visualization.
In order to achieve excellence in data visualization, Tufte
formulated six principles of graphical integrity (Tufte, 2001).

18. PRINCIPLE 1:
• The representation of numbers, as physically measured on the
surface of the graph itself, should be directly proportional to the
numerical quantities represented.

19. PRINCIPLE 2 & PRINCIPLE 3 :
• Principle 2: Clear, detailed, and thorough labeling should be
used to defeat graphical distortion and ambiguity.
• Principle 3: Show data variation, not design variation.

20. PRINCIPLE 4:
• Principle 4:In time-series displays of money, deflated and
standardized units of monetary measurement are nearly
always better than nominal units

21. PRINCIPLE 5 & 6 :
Principle 5: the number of information carrying (variable)
dimensions depicted should not exceed the number of
dimensions in the data.
Principle 6: graphics must not quote data out of context

22. ACHIEVING EXCELLENCE IN DATA
VISUALIZATION:
Data visualization has become an important part of business intelligence
and more recently has become an area of interest in academia .
Increased amounts of data need to get to people in an appealing and
useable form (few, 2007).
Achieving excellence in data visualization requires planning that
addresses the decision makers’ purpose for using the data and the
display needs of the data set.
Fry (2008) outlined six areas to consider when planning for data
visualization

23. PLANNING FOR EXCELLENCE IN DATA
VISUALIZATION:
The first area is dealing daily with too much information that
results in information overload.
Second, we are improving at data collection but collection alone is
not enough. Data must be visualized for maximum benefit.
The third refers to the lack of sophisticated thinking about data
which is crucial for establishing meaning.

24. CONT.,
The fourth indicates that data never stay the same because
most real-world data are dynamic.
Fifth, what is the question refers to technology enabling
increased capabilities of creating and storing data to the extent
that the data may easily be dis-associated from the purpose for
collecting it.
Sixth is a combination of many disciplines. Data are complex
and need insights from diverse fields to acquire meaningful
solutions.

25. CONCLUSION:
Data visualization is one means of increasing the impact of assessment
in the field of education.
It enables educators to communicate findings in an understandable
format and new technological tools have simplified the task of producing
visual representations of data.
A key to achieving excellence in data visualization is planning that
addresses the decision makers’ purpose for using the data and the
display needs of the data set.
Also, established principles provide a guide for maintaining graphical
integrity in the data visualization process.