A deep dive in data visualization covering some handful tools like Advance excel, Tableau, Qliksense etc. You can add more content like discussing Google API, Perception and cognition theory,some more readable formats for data visualization and its framework.

1. Name Roll No.
Neha Bapat 03
Subin Paul 13
Sushil Kasar 15
Pratik Shukla 33
Data Visualization

2. • What is Data Visualization?
• Importance and goals of DV
• Tools and Techniques
• Perception & cognition
• Visualization framework
• Market trends
• Demonstration
Content

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• Record
• Analyze
• Communicate
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5. • Data visualization describes any effort to help people understand the
significance of data by placing it in a visual context.
• Patterns, trends and correlations that might go undetected in text-
based data can be exposed and recognized easier with data
visualization software.
What it Means..??

6. • Comprehend information quickly.
• Identify relationships and
patterns.
• To discover trends – both in the
business and in the market .It
can give businesses an edge over
the competition.
• Communicate the story to
others.
Why is data visualization important?

7. • Understand the data you’re trying to visualize, including its size.
• 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
to the audience.
Visualization Goals

8. BI & Data Visualization tools
• Tableau
• Power BI
• Microsoft BI
• Micro strategy
• QlikView. Ie. Qliksense
• Cognos
• Advanced MS Excel
• Pentaho BI

9. Perception and Cognition
• Human-computer interaction (HCI) and visualization.

10. Visualization Framework

13. Market Trend
• Tableau
• Qlikview

14. Demo report using Power BI