This document discusses data visualization, including why it is useful, techniques for visualizing big data, common data visualization techniques like bar charts and maps, tools for data visualization like Tableau and D3.js, and how InsideView uses data visualization. It notes that visualization is important because images can convey large amounts of information more easily than text, and that visualizing data allows people to see patterns, correlations, and geographic relationships in the data. Big data brings new challenges to visualization due to the speed, size, and diversity of large datasets.

1. DATA
VISUALIZATION

2. • What is Data Visualization
• Why Visualization
• Visualizing Big Data
• Data Visualization Techniques
• Data Visualization Tools
• Our Competitors
• InsideView and Data Visualization

3. Information Is Beautiful

4. Why Visualization?
A Picture Is Worth More than a Thousand Words

5. What Does Our Data Say?
How much / What percent
Correlation
Geographic

6. Visualizing Big Data
Big data brings new challenges to visualization because of the speed, size and diversity of data
VALUE
Volume
Variety
Velocity

7. Bubble charts
Data Visualization Techniques
Bar charts
Ring charts
Scatterplots
Tree diagrams
Diagram maps
Maps
Line graphs
Stacked area
charts
Pie charts
Sankey diagrams
2D/3D

8. Data
Visualization
Tools
Dygraphs
Tableau
InstantAtlas
Visual.ly
FusionCharts
D3.js
Highcharts
Google
Charts
Excel
Piktochart
R
iCharts

9. Thank
You…