data visualization (basics), Schemes and Mind Maps of Data Acquisition

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UNIT - II

Statistics for Data Science

SCHOOL OF Mechanical ENGINEERING AND TECHNOLOGY

Data Visualization

T. Y. BTECH

UNIT IV

UNIT IV-Syllabus

• Data Visualization

Introduction to data visualization , Data for data graphics, Human

Perception and Information Processing , Data Transformation into sources

of knowledge through visual representation , The evaluation of the quality

• of visualizations and info graphics

Data Visualization tools: Python libraries for visualization, Tableau,

Plotly ,Case Study

Common general

types of data

visualization:

Charts

Tables

Graphs

Maps

Infographics

Dashboards

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
• Histogram

Matrix

Network

Polar Area

• Radial Tree

Scatter Plot (2D or 3D)

Streamgraph

Text Tables

• Timeline
• Treemap

Wedge Stack Graph

Word Cloud

Data visualization

Data visualization for human perception

• As the saying goes, “a picture is worth a thousand

words”; this is true when a story is told graphically, with

a strong design, instead of verbally. For example, you

could stare at a table of numbers all day and never see

what would otherwise be very obvious to notice while

looking at the same numbers graphically well

represented.

• Bokeh is a Python library for interactive visualization

that targets web browsers for representation. This is the

core difference between Bokeh and other visualization

libraries.