SlideShare ist ein Scribd-Unternehmen logo
1 von 53
Dataviz 4 dummies
Roberto Silveira - Maio 2016
Data scientist
Machine Learning Engineer
Designer
Mathematician
Electrical Engineer✔
✖
✖
✖
✖
Why does it matter?
Anscombe
Quartet
Anscombe
Quartet
Fonte: http://patadata.org/maparacial/
Fonte: http://patadata.org/maparacial/
Fonte: http://patadata.org/maparacial/
Fonte: http://paperscape.org/
Fonte: http://paperscape.org/
Fonte: http://paperscape.org/
Fonte: https://interactive.twitter.com/
Historical context
William Playfair
(1759 - 1823)
1983
Cleveland-McGill
Scale
Tips and Tricks
Golden
ratio
Graphical
excellence
Viewer =
+ ideas
- time
- ink
- space
Multivariate graphics
Data-ink
ratio
Data-ink
maximization
Data-ink
maximization
Data-ink
maximization
Visualization Zoo
Time-Series
Data
Index Charts
Time-Series
Data
Stacked Graphs
Time-Series
Data
Small Multiples
Time-Series
Data
Horizon Graphs
Statistical
Distributions
Stem-and-Leaf Plots
Statistical
Distributions
Q-Q Plots
Statistical
Distributions
SPLOM
(Scatter Plot Matrix)
Statistical
Distributions
Parallel Coordinates
Maps
Flow Maps
Maps
Choropleth Maps
Maps
Graduated Symbol
Maps
Maps
Cartograms
Hierarchies
Node-link Diagrams
Hierarchies
Node-link Diagrams
Hierarchies
Node-link Diagrams
Hierarchies
Adjacency Diagrams
Hierarchies
Adjacency Diagrams
Hierarchies
Enclosure Diagrams
Hierarchies
Enclosure Diagrams
Networks
Force-directed
Layouts
Networks
Arc Diagrams
Networks
Matrix Views
Fonte: http://www.visual-literacy.org/periodic_table/periodic_table.html
“Above all else show the data.”
― Edward Tufte
Data visualization 4 dummies

Weitere ähnliche Inhalte

Was ist angesagt?

The Future of Data Visualization - RIAdventure 2009
The Future of Data Visualization - RIAdventure 2009The Future of Data Visualization - RIAdventure 2009
The Future of Data Visualization - RIAdventure 2009
Doug McCune
 
大话程序员可用的算法
大话程序员可用的算法大话程序员可用的算法
大话程序员可用的算法
jeffz
 

Was ist angesagt? (17)

Euro30 2019 - Benchmarking tree approaches on street data
Euro30 2019 - Benchmarking tree approaches on street dataEuro30 2019 - Benchmarking tree approaches on street data
Euro30 2019 - Benchmarking tree approaches on street data
 
Neat Analytics with Pandas Indexes, Alexander Hendorf
Neat Analytics with Pandas Indexes, Alexander Hendorf Neat Analytics with Pandas Indexes, Alexander Hendorf
Neat Analytics with Pandas Indexes, Alexander Hendorf
 
Esriuk_track7_field studies council
Esriuk_track7_field studies councilEsriuk_track7_field studies council
Esriuk_track7_field studies council
 
Comparison of data portrayal
Comparison of data portrayalComparison of data portrayal
Comparison of data portrayal
 
GeoTrellis, GIS on Scala
GeoTrellis, GIS on ScalaGeoTrellis, GIS on Scala
GeoTrellis, GIS on Scala
 
2019 spatial thinking
2019 spatial thinking2019 spatial thinking
2019 spatial thinking
 
The Future of Data Visualization - RIAdventure 2009
The Future of Data Visualization - RIAdventure 2009The Future of Data Visualization - RIAdventure 2009
The Future of Data Visualization - RIAdventure 2009
 
2019 visual thinking
2019 visual thinking2019 visual thinking
2019 visual thinking
 
Introducting RasterFrames
Introducting RasterFramesIntroducting RasterFrames
Introducting RasterFrames
 
CEDAR & PRELIDA Preservation of Linked Socio-Historical Data
CEDAR & PRELIDA Preservation of Linked Socio-Historical DataCEDAR & PRELIDA Preservation of Linked Socio-Historical Data
CEDAR & PRELIDA Preservation of Linked Socio-Historical Data
 
Using satellite imagery to track economic change
Using satellite imagery to track economic changeUsing satellite imagery to track economic change
Using satellite imagery to track economic change
 
The Streamgraph R package
The Streamgraph R packageThe Streamgraph R package
The Streamgraph R package
 
A vision to make OSM data the backbone of history across time and space - Int...
A vision to make OSM data the backbone of history across time and space - Int...A vision to make OSM data the backbone of history across time and space - Int...
A vision to make OSM data the backbone of history across time and space - Int...
 
Digitization of rural mircotoponyms
Digitization of rural mircotoponymsDigitization of rural mircotoponyms
Digitization of rural mircotoponyms
 
Drag racing
Drag racingDrag racing
Drag racing
 
The Concept behind ThinkDo Project App
The Concept behind ThinkDo Project AppThe Concept behind ThinkDo Project App
The Concept behind ThinkDo Project App
 
大话程序员可用的算法
大话程序员可用的算法大话程序员可用的算法
大话程序员可用的算法
 

Andere mochten auch

Introduction to Biourbanism . Epistemology for a new Architecture, by Antonio...
Introduction to Biourbanism. Epistemology for a new Architecture, by Antonio...Introduction to Biourbanism. Epistemology for a new Architecture, by Antonio...
Introduction to Biourbanism . Epistemology for a new Architecture, by Antonio...
International Society of Biourbanism
 
Visualization and Machine Learning - for exploratory data ...
Visualization and Machine Learning - for exploratory data ...Visualization and Machine Learning - for exploratory data ...
Visualization and Machine Learning - for exploratory data ...
butest
 
MachineLearning.ppt
MachineLearning.pptMachineLearning.ppt
MachineLearning.ppt
butest
 
Basics of Machine Learning
Basics of Machine LearningBasics of Machine Learning
Basics of Machine Learning
butest
 

Andere mochten auch (20)

Machine Learning in 5 Minutes— Classification
Machine Learning in 5 Minutes— ClassificationMachine Learning in 5 Minutes— Classification
Machine Learning in 5 Minutes— Classification
 
Introduction to Biourbanism . Epistemology for a new Architecture, by Antonio...
Introduction to Biourbanism. Epistemology for a new Architecture, by Antonio...Introduction to Biourbanism. Epistemology for a new Architecture, by Antonio...
Introduction to Biourbanism . Epistemology for a new Architecture, by Antonio...
 
Interactive visualization and exploration of network data with gephi
Interactive visualization and exploration of network data with gephiInteractive visualization and exploration of network data with gephi
Interactive visualization and exploration of network data with gephi
 
Introduccion a Machine Learning
Introduccion a Machine LearningIntroduccion a Machine Learning
Introduccion a Machine Learning
 
Visualization and Machine Learning - for exploratory data ...
Visualization and Machine Learning - for exploratory data ...Visualization and Machine Learning - for exploratory data ...
Visualization and Machine Learning - for exploratory data ...
 
Attention Please! Learning analytics for visualization & recommendation
Attention Please! Learning analytics for visualization & recommendation Attention Please! Learning analytics for visualization & recommendation
Attention Please! Learning analytics for visualization & recommendation
 
Machine Learning for dummies
Machine Learning for dummiesMachine Learning for dummies
Machine Learning for dummies
 
Data driven storytelling tips from an iron viz champion ryan sleeper
Data driven storytelling tips from an iron viz champion   ryan sleeperData driven storytelling tips from an iron viz champion   ryan sleeper
Data driven storytelling tips from an iron viz champion ryan sleeper
 
Brief introduction to Machine Learning
Brief introduction to Machine LearningBrief introduction to Machine Learning
Brief introduction to Machine Learning
 
Real Time Machine Learning Visualization with Spark
Real Time Machine Learning Visualization with SparkReal Time Machine Learning Visualization with Spark
Real Time Machine Learning Visualization with Spark
 
Machine learning for dummies
Machine learning for dummiesMachine learning for dummies
Machine learning for dummies
 
Pybcn machine learning for dummies with python
Pybcn machine learning for dummies with pythonPybcn machine learning for dummies with python
Pybcn machine learning for dummies with python
 
Deep Learning for Computer Vision: Visualization (UPC 2016)
Deep Learning for Computer Vision: Visualization (UPC 2016)Deep Learning for Computer Vision: Visualization (UPC 2016)
Deep Learning for Computer Vision: Visualization (UPC 2016)
 
Introduction to Machine Learning and Deep Learning
Introduction to Machine Learning and Deep LearningIntroduction to Machine Learning and Deep Learning
Introduction to Machine Learning and Deep Learning
 
How to Become a Data Scientist
How to Become a Data ScientistHow to Become a Data Scientist
How to Become a Data Scientist
 
MachineLearning.ppt
MachineLearning.pptMachineLearning.ppt
MachineLearning.ppt
 
Basics of Machine Learning
Basics of Machine LearningBasics of Machine Learning
Basics of Machine Learning
 
Machine Learning for Dummies
Machine Learning for DummiesMachine Learning for Dummies
Machine Learning for Dummies
 
Machine Learning Algorithms
Machine Learning AlgorithmsMachine Learning Algorithms
Machine Learning Algorithms
 
10 Lessons Learned from Building Machine Learning Systems
10 Lessons Learned from Building Machine Learning Systems10 Lessons Learned from Building Machine Learning Systems
10 Lessons Learned from Building Machine Learning Systems
 

Ähnlich wie Data visualization 4 dummies

Brian Suda: Designing with data (Webdagene 2014)
Brian Suda: Designing with data (Webdagene 2014)Brian Suda: Designing with data (Webdagene 2014)
Brian Suda: Designing with data (Webdagene 2014)
webdagene
 

Ähnlich wie Data visualization 4 dummies (10)

Exploring the Potential of OpenStreetMap Data
Exploring the Potential of OpenStreetMap DataExploring the Potential of OpenStreetMap Data
Exploring the Potential of OpenStreetMap Data
 
08 Agency Of Mapping
08 Agency Of Mapping08 Agency Of Mapping
08 Agency Of Mapping
 
Brian Suda: Designing with data (Webdagene 2014)
Brian Suda: Designing with data (Webdagene 2014)Brian Suda: Designing with data (Webdagene 2014)
Brian Suda: Designing with data (Webdagene 2014)
 
AiCore Brochure 27-Mar-2023-205529.pdf
AiCore Brochure 27-Mar-2023-205529.pdfAiCore Brochure 27-Mar-2023-205529.pdf
AiCore Brochure 27-Mar-2023-205529.pdf
 
Exploring the Great Olympian Graph
Exploring the Great Olympian GraphExploring the Great Olympian Graph
Exploring the Great Olympian Graph
 
Follow the money with graphs
Follow the money with graphsFollow the money with graphs
Follow the money with graphs
 
Data in Action
Data in ActionData in Action
Data in Action
 
Statistical Forecasting: Estimation Made Easy
Statistical Forecasting: Estimation Made EasyStatistical Forecasting: Estimation Made Easy
Statistical Forecasting: Estimation Made Easy
 
Map Reduce in Hazelcast - Hazelcast User Group London Version
Map Reduce in Hazelcast - Hazelcast User Group London VersionMap Reduce in Hazelcast - Hazelcast User Group London Version
Map Reduce in Hazelcast - Hazelcast User Group London Version
 
Big Data, Fast Data - MapReduce in Hazelcast
Big Data, Fast Data - MapReduce in HazelcastBig Data, Fast Data - MapReduce in Hazelcast
Big Data, Fast Data - MapReduce in Hazelcast
 

Kürzlich hochgeladen

Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Victor Rentea
 

Kürzlich hochgeladen (20)

CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistan
 
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
 
Cyberprint. Dark Pink Apt Group [EN].pdf
Cyberprint. Dark Pink Apt Group [EN].pdfCyberprint. Dark Pink Apt Group [EN].pdf
Cyberprint. Dark Pink Apt Group [EN].pdf
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusExploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
 

Data visualization 4 dummies