Data visualization introduction

Sep 21, 20215 likes4,964 views

Data visualization is the graphical representation of information and data. It is used to communicate data or information clearly and effectively to readers by leveraging the human mind's receptiveness to visual information. Effective data visualization can improve transparency and communication, answer questions, discover trends, find patterns, see data in context, support calculations, and present or tell a story. Common tools for data visualization include charts, graphs, maps, and diagrams. Specialized roles involved in data visualization include data visualization experts, data analysts, business intelligence consultants, tool-specific consultants, business analysts, and data scientists.

What ?
the graphical representation of information and data.
It is part art and part science. The challenge is to get the art right without getting the science wrong,
and vice versa.
The goal of data visualization is to communicate data or information clearly and effectively to readers.

The human mind is very receptive to visual information. That’s why data visualization is a
powerful tool for communication.
How many 3s can you count?

The human mind is very receptive to visual information. That’s why data visualization is a
powerful tool for communication.
How many 6s can you count?

The human mind is very receptive to visual information. That’s why data visualization is a
powerful tool for communication.

Visualization Goals:
● IMPROVE TRANSPARENCY AND COMMUNICATION
● ANSWER QUESTIONS
● DISCOVER TRENDS
● FIND PATTERNS
● SEE DATA IN CONTEXT
● SUPPORT CALCULATIONS
● PRESENT OR TELL A STORY

Visual data helps us to think and communicate. A picture tells a story better than a
thousand words could.

IMPORTANCE OF DATA VISUALIZATION
1) Make data digestible and easy to understand.
2) Identify trends and outliers.
3) Tell a story within the data.
4) Reinforce an argument or opinion.
5) Highlight an important point in a set of data.
6) Make books, blog posts, reports and videos more engaging.

How ?
Identify the problem Ask Questions

Diﬀerent Roles?
● DATA VISUALIZATION EXPERT
● DATA ANALYST
● BUSINESS INTELLIGENCE CONSULTANT
● TOOL SPECIFIC CONSULTANT
● BUSINESS ANALYST
● DATA SCIENTIST

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Data visualization introduction

2. What ? Why ? How ? Outline:

3. What ? Why ? How ? Outline:

4. What ? the graphical representation of information and data. It is part art and part science. The challenge is to get the art right without getting the science wrong, and vice versa. The goal of data visualization is to communicate data or information clearly and effectively to readers.

5. The human mind is very receptive to visual information. That’s why data visualization is a powerful tool for communication. How many 3s can you count?

6. The human mind is very receptive to visual information. That’s why data visualization is a powerful tool for communication. How many 6s can you count?

7. The human mind is very receptive to visual information. That’s why data visualization is a powerful tool for communication.

8. The human mind is very receptive to visual information. That’s why data visualization is a powerful tool for communication.

9. What ? Why ? How ? Outline:

10. Visualization Goals: ● IMPROVE TRANSPARENCY AND COMMUNICATION ● ANSWER QUESTIONS ● DISCOVER TRENDS ● FIND PATTERNS ● SEE DATA IN CONTEXT ● SUPPORT CALCULATIONS ● PRESENT OR TELL A STORY

11. Visual data helps us to think and communicate. A picture tells a story better than a thousand words could.

12. Visual data helps us to think and communicate. A picture tells a story better than a thousand words could.

13. IMPORTANCE OF DATA VISUALIZATION 1) Make data digestible and easy to understand. 2) Identify trends and outliers. 3) Tell a story within the data. 4) Reinforce an argument or opinion. 5) Highlight an important point in a set of data. 6) Make books, blog posts, reports and videos more engaging.

14. What ? Why ? How ? Outline:

15. How ? Identify the problem Ask Questions

16. How ?

17. Most Used Tools:

18. Diﬀerent Roles? ● DATA VISUALIZATION EXPERT ● DATA ANALYST ● BUSINESS INTELLIGENCE CONSULTANT ● TOOL SPECIFIC CONSULTANT ● BUSINESS ANALYST ● DATA SCIENTIST

Data visualization introduction

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