data visualization

1. Data Visualization

2. • Graphical representation of information
and data.
• Provide an accessible way to see and
understand trends, outliers, and patterns in
data.
• Visual elements like charts, graph and
maps

3. • Analyze massive amounts of information
and make data-driven decisions.
• Convert large and small data sets into
visuals,
• Easy to understand and process

4. Advantages & benefits.
• To make easier in understand and
remember.
• To discover unknown facts, outliers, and
trends.
• To visualize relationships and patterns
quickly.
• To ask a better question and make better
decisions.

5. Data Visualization Tools
• Tools which help you to visualize all your
data in a few minutes.
• Data visualization allows you to interact
with data.
• Google, Apple, Facebook, and Twitter all
ask better a better question of their data
and make a better business decision by
using data visualization.

6. Data visualization tools :
• Tableau
• Infogram
• Chartblocks
• Datawrapper
• Plotly
• RAW
• Visual.ly
• D3.js
• Ember Charts
• NVD3

7. Types of data visualization
• Charts
• Tables
• Graphs
• Maps
• Info graphics
• Dashboards

8. Tableau
• Business & Data Visualization Tool
• Deploy in Quick
• Easy to Learn
• Fastest and Easiest way to share analytics in the
cloud.
• Explore & Analyze data with simple drag and
drop Operation

9. • Create and distribute an interactive and
shareable dashboard
• Depict the trends, variations, and density of
the data in the form of graphs and charts.
• Connect to files, relational and Big Data
sources to acquire and process data.

10. • Data blending and Real-time collaboration
• Businesses, Academic researchers, and
many Government organizations. for visual
data analysis.
• Leader Business Intelligence and Analytics
Platform.

11. Feature
• Speed of Analysis
• Self-Reliant
• Visual Discovery
• Blend Diverse Data Sets
• Architecture Agnostic
• Real-Time Collaboration
• Centralized Data

12. Design Flow
• Connect Data Source
• Get all data
• Enhance
• worksheet
• Dashboard
• Story

13. Data Type

14. Show Me