This document provides an overview of data visualization and Tableau software. It defines data visualization as visually representing data to help convey information and insights. It then discusses different types of data visualization techniques like graphs, diagrams, timelines and more. The document also introduces Tableau software, describing it as a tool for interactive data visualization and dashboard creation. It outlines Tableau's features, workspace, different chart types, and provides steps for performing basic data analysis and visualization in Tableau Public.

1. Data Visualization
Unit 5 Mr. M.S.Emmi,
Faculty,
Department of MCA,
KLS GIT Belagavi.

2. Outline
• What?
• Why?

3. Outline
• What?
• Why?

4. Data Visualization
“...to convey information through visual
representations.”
“...produces (interactive) visual representations
of abstract data to reinforce human cognition;
thus enabling the viewer to gain knowledge
about the internal structure of the data and
causal relationships in it.”

5. Infographicvs.DataVisualization
■ Both: visually represent data, accessibleto audience
■ Infographics are created for areason/purpose =subjective,can contain data
visualization, qualitative elements,advocacy
■ DataVisualization shouldbe objective with all data represented/unedited,
quantitative, massive, nocontext
JackHagley, “What’s the difference between and Infographic and DataVisualization?”
Ways of representing visual Data

6. What is an
infographic?
Components
■ Data, icons, images, text, that work together
to tellastory.
■ Always apurpose, call toaction.
■ Thestory of the creator,YOU!
Librariesmatter: 18fantasticlibrary infographics
Pikochart user26reasonsroad3

7. What is an
infographic?
Types
■ Map:Showcases data trendsbasedon location
■ Versus:Compares two things in ahead-to-head
study
■ Timeline:Tells astory through achronological
flow
■ List:Supportsaclaim through aseries of steps
■ Flowchart:Providesaspecialized answerto a
question via readerchoices
■ VisualArticle: Makesapieceof writing more
visual
■ DataVisualization:Communicates data through
charts, graphs, and/ordesign
■ And more!

8. Outline
• What?
• Why?

9. Visualization Goals
• Answer questions (or discover them)
• Make decisions
• See data in context
• Support graphical calculation
• Find patterns
• Present argument or tell a story
• Inspire

10. • Visual images help to transmit a huge amount of
information to the human brain at a glance.
• Help in establishing relationships and distinction
between different patterns or processes easily.
• Help in exploring data
• Helps in identifying problems and understanding
trends and outliers.
• Point out key or interesting breakthroughs in a large
dataset.

11. Data is classified on the basis of following criteria:
• Method of Creation
• Quantity of data displayed
• Degree of creativity applied
Various content Types:
• Graph
• Diagram
• Timeline
• Template
• Checklist
• Flowchart
• Mind Map

12. Techniques used for visual data
representation
1. Isoline:
2. Isosurface:

13. 3. Direct Volume Rendering (DVR):
4. Streamline:

14. 5. Map:
6. Parallel coordinate plot:

15. 7. Venn Diagram:
8. Timeline:

16. 9. Euler Diagram:
10. Hyperbolic trees:

17. 11. Cluster Diagram:
12. Ordinogram:

18. Typeof datavisualization.
• 1D/Linear
• 2D/Planar
• 3D/Volumetric
• Temporal
• nD/Multidimensional
• Tree/Hierarchical
• Network

19. Sl.No. Name Description Tool
1
1D/Linear
For Eg., A list items
organized in a predefined
manner.
No tool is used.
2 2D/Planar For Eg., Choropleth,
Cartogram, Dot
distribution map and
Proportional symbol map
GeoCommons, Google
Fusion Tables, Google
maps API, Polymaps,
Many Eyes, Google
Charts andnTableau
Public.
3
3D/Volumetric
For Eg , 3D computer
models ,surface
rendering, volume
rendering, and computer
simulations
AC3D, AutoQ3D,
TrueSpace
4 Temporal For Eg, timeline, time
series, Gantt chart, sanky
diagram, alluvial diagram,
and connected scatter
plot
TimeFlow, Timeline JS,
Excel, Timeplot,
TimeSearcher, Google
Charts, Tableau Public,
and Google Fusion Tables

20. 5 nD/
Multidimensional
For Eg, pie chart,
histogram, tag cloud,
bubble cloud, bar chart,
scatter plot,heat map, etc.
Many Eyes, Google
Charts, Tableau Public,
and Google Fusion Tables
6
Tree/Hierarchical
For Eg, dendogram, radial
tree, hyperbolic tree, and
wedge stack graph
D3, Google Charts, and
Network Workbench/Sci2
7 Network For Eg, matrix, node link
diagram, hive plot, nd
tube map
Pajek, Gephi, NodeXL,
VOSviewer, UCINET,
GUESS, Network,
Workbench/Sci2,
sigma.js, d3,Protovis,
Many Eyes, and, Google
Fusion Tables
Sl.No. Name Description Tool

21. Applicationsof DataVisualization.
• Education
•Information
•Production
•Science
•Systems Visualization
• Visual Communication
• Visual Analytics

22. Visualizing Big Data
• Deriving Business Solutions
• Turning data into Information

23. Tools used in Data Visualization
1) Excel:
2) Last.Forward:

24. 3) Digg.com:
4) Pics:
5) Arc:

25. 6) Google Charts API:
7) TwittEarth:

26. 8) Tag Galaxy:
9) D3:
10) Rootzmap Mapping the Internet:

27. IntroductiontoTableau Software

28. HISTORY
• Tableau Software is a software company headquartered
in Seattle, Washington, United States that produces
interactive data visualization products focused on
business intelligence.
• The software allows data blending and realtime
collaboration which makes it very unique.
THE WORD TABLEAU
• It is derived from French word tableaux
which means a group of models or
motionless figures representing a scene
from a story or from history

29. WHATISTABLEAU?
◉Tableau is groundbreaking data visualization software created by
Tableau Software.
◉Tableau connects easily to nearly any datasource
◉Tableau allows for instantaneous insight by transforming data into
interactive visualizationscalled dashboards.

30. PRODUCTS OF TABLEAU

31. Features of Tableau Software
◉ Single-Click data analytics in visual form
◉ In-depth statistical Analysis
◉ Management of metadata
◉ In-built, top-class data analytic practices
◉ In-built data engine
◉ Big data analytics
◉ Quick and accurate data discovery
◉ Business dashboards creation
◉ Various types of data visualization
◉ Social media analytics, including Facebook and Twitter
◉ Easy and quick integration of R
◉ Business intelligence through mobile
◉ Analysis of time series data
◉ Analysis of data from surveys

32. Data Environments
Uses
◉ Useful software tool for data analysis and its graphical
representation .
◉ Helps to track and keep a record of the Web Traffic .
◉ Helps to detect fire hotspots in forests .
◉ Displays the structure and organization of a sports team .
◉ Used to compare the performance of various business enterprises
in the market .
◉ Helps to create dashboards .
◉ All data sources
◉ Amazon redshift
◉ Excel charts and graphs
◉ Google analytics
◉ Google BigQuery
◉ Hadoop
◉ HP Vertica
◉ SAP
◉ Splunk

33. Step
1
Connect to the
data
Step
2
Data
Manipulation
Step
3
Use Show me
or drag/drop
to create viz
Step
4
Edit
your viz
Step
5
Create more
vizzes to get
more
insights
fromthe data
Step
6
Place
selected
vizzes in
the
interactive
dashboard
Tableau offers a quick & easy way to convey insights and data trends in just 7 steps!
Step
7
Save your
viz and
share it
THE EASY SEVEN STEPS

34. Tableau Workspace
• Data Window
• Toolbar
• Tooltips
• Status Bar
• Cards and shelves
• Recognizing the
Workspace
• Language and
Locale
Download and install the Tableau software using following link:
http://www.tableau.com/products/desktop

35. The Tableau Workspace
35

36. Toolbar Icons
• Undo/Redo
• File Save
• Connect to a New Data Source
• New Dashboard or Worksheet
• Duplicate Sheet
• Clear Sheet
• Auto/Manual Update
• Group
• Pivot Worksheet
• Ascending/Descending Sort
• Label Marks
• Presentation Mode
• Reset Cards
• Fit Menu
• Fit Axis
• Highlight Control

37. Main Menu
• File
• Data
• Worksheet
• Dashboard
• Story
• Analysis
• Map
• Format
• Server
• Window
• Help

38. Data Types
Common data types supported by Tableau are:
• Text values
• Date values
• Date and time values
• Numerical values
• Geographical values
• Boolean values
Tableau Workbook and Data Source Files
Tableau sales and shares files as :
1. Tableau Workbook: with extension .twb
2. Tableau Data Source: with extension .tds
3. Tableau Bookmark: with extension .tbm
4. Tableau Data Extract: with extension .tde

39. Tableau Charts
Some chart types that Tableau can create are:
• Tables
• Scatter Plots
• Trend Lines
• Bullet Graph
• Box Plot
• Treemap
• Bubble Charts
• Word Cloud

40. Operations on Data
Tableau supports different types of mathematical and
statistical data operations such as:
• Sum
• Average
• Median
• Count
• Count distinct
• Minimum
• Maximum
• Standard Deviation
• Standard deviation of a population
• Variance
• Variance of population
• Attribute
• Dimension

41. Data Analytics in Tableau public
1. Open the Home page of the Tableau Public Tool.
2. Select the Connect to data option from the Data menu to Connect to the given dataset.
3. A window appears with the Connect frame on its left hand side. We can also establish the
connection to the data by using the open data button.

42. 4. Select the File type in which the data is stored from the Connect Frame. In our case we have
selected Microsoft Excel.
The Open Dialog box appears

43. 5. Browse for the file containing the sample data.
The data connection establishment process completes after the
file has been selected.

44. The Tableau Public screen appears as above.

45. 6. Click the Go to Worksheet button to get the data in the Worksheet form as shown above.
Now, we can use the data sheet view of the data Tableau to develop various kinds of
visuals.
7. Drag a Dimension from the left hand side bar and Drop it in the Rows or Columns field
for analysis.
8. Specify particular analytical measures by dragging individual dimensions from the
Measures section and dropping them in the Rows field.
9. Select a different kind of chart from the Show Me Selection box, appearing on the upper
right corner, to view a different pattern.
NOTE: We can create more visuals, including bar chart, Discrete line chart, Bubble chart
etc.,

46. 10. In Tableau, it is possible to create Dashboard by clicking the New Dashboard icon,
the rightmost icon given on the status bar of Tableau Public Window. A new
Dashboard Appears as shown below.
11. Drag the sheet from the left hand side bar and drop it on the dash board.
12. Adjust the resolution of the dashboard for the clarity of vision, from the
dashboard section on the lower left corner.
Visual Controls in Tableau Public: Provides number of controls for
creating visualizations for a given dataset.

47. REFERENCE
• www.tableau.com (official site)

48. THANK YOU