Fotis Psallidas [email protected] [email protected]/pubs/posters/hilda18-poster.pdf ·...
1
from delay state j 1 LGA 30 NY j 2 LGA 40 NY j 3 JFK 50 NY j 4 IAH 60 TX Provenance for Interactive Visualizations Fotis Psallidas [email protected] Eugene Wu [email protected] Introduction Provenance For Interactive Visualizations Lineage Primer Provenance For Interactive Applications Interactive Selections • Item selection • Group selection • Range selection • Generalized selections airlines airports ontime states View V 1 backward_trace() Logic over Selections • Tooltips • Details-On-Demand • Semantic Zooming airlines airports ontime states View V 1 Details V 2 V 1 V 2 Idaho Montana SouthDakota NorthDakota Wyoming avg_adelay avg_adelay Multi-View Linking • Linked Brushing • Crossfilter SQL(backward_trace()) selective_refresh(backward_trace()) γ "#$#%,$'((*%+$,) (Airports⨝Flights) name = from name state a 1 LGA NY a 2 JFK NY a 3 IAH TX from delay f 1 LGA 30 f 2 LGA 40 f 3 JFK 50 f 4 IAH 60 airlines airports ontime states V 1 Search Profile Tool Vis App External Apps Data Store [VLDB18] Smoke: Fine-Grained Lineage At Interactive Speed [SIGMOD18] A Deep breath of Data-Intensive Lineage Applications [HILDA18] Provenance for Interactive Visualizations [CIDR17] Combining Design and Performance in a DVMS Want to Know More? Example: Multi-Application Linking Provenance management systems can provide • core functionality across application domains and • novel functionality to extend the space of interactive applications state avg(delay) O 1 NY 43.33 O 2 TX 60 ML Interpretability Data Integration Query Explanations Interaction Debugging Viz Workflow Debugging Application Design Search Replication and Reproducibility Multi-Application Linking Why-not Analytics Interactive Data Profiling Visualization Deconstruction and Restyling Interaction By Example What-if Provisioning Iterative Analytics Interactive Data Cleaning Interactive Query Specification Collaborative Communication Action Recovery Sense-Making Meta-Analysis Debugging Auditing Resource Scheduling Network Diagnostics Interactive Visualizations ⨝ γ A F J O Lineage Graph Recent research has shown that provenance-enabled data systems can be fast enough for interactive responsiveness Deep connections between fine-grained provenance and interaction • Can express core visualization interactions • Extends to general interactive applications Expressing interactions using provenance enables holistic optimization
Transcript of Fotis Psallidas [email protected] [email protected]/pubs/posters/hilda18-poster.pdf ·...
from delay statej1 LGA 30 NYj2 LGA 40 NYj3 JFK 50 NYj4 IAH 60 TX
Provenance for Interactive VisualizationsFotis Psallidas
[email protected] Eugene Wu
Introduction
Provenance For Interactive Visualizations
Lineage Primer
Provenance For Interactive Applications
Interactive Selections• Item selection• Group selection• Range selection• Generalized selections
airlinesairportsontimestates
View V1
backward_trace()
Logic over Selections• Tooltips• Details-On-Demand• Semantic Zooming
airlines
airports
ontime
states
View V1
DetailsV2
V1
V2
Idaho
Montana
SouthDakota
NorthDakota
Wyoming
avg_
adelay
avg_adelay
Multi-View Linking• Linked Brushing• Crossfilter
SQL(backward_trace()) selective_refresh(backward_trace())
γ"#$#%,$'((*%+$,)(Airports⨝Flights)name = from
name statea1 LGA NYa2 JFK NYa3 IAH TX
from delayf1 LGA 30f2 LGA 40f3 JFK 50f4 IAH 60
airlinesairportsontimestates
V1Search
Profile Tool
Vis AppExternal Apps
Data Store
[VLDB18] Smoke: Fine-Grained Lineage At Interactive Speed[SIGMOD18] A Deep breath of Data-Intensive Lineage Applications[HILDA18] Provenance for Interactive Visualizations[CIDR17] Combining Design and Performance in a DVMS
Want to Know More?
Example: Multi-Application LinkingProvenance management systems can provide• core functionality across application domains and• novel functionality to extend the space of interactive applications
state avg(delay)
O1 NY 43.33O2 TX 60
ML Interpretability
Data Integration
QueryExplanations
Interaction Debugging
Viz Workflow Debugging
Application Design Search
Replication and Reproducibility
Multi-ApplicationLinking
Why-not Analytics
Interactive Data Profiling
VisualizationDeconstruction and Restyling
InteractionBy Example
What-if Provisioning
Iterative Analytics
InteractiveData Cleaning
Interactive Query Specification
Collaborative Communication Action Recovery Sense-Making Meta-Analysis
Debugging AuditingResource Scheduling
Network Diagnostics
Interactive Visualizations
⨝ γA
FJ O
Lineage GraphRecent research has shown that provenance-enabled data systems can be fast enough for interactive responsiveness
Deep connections between fine-grained provenance and interaction• Can express core visualization interactions• Extends to general interactive applications
Expressing interactions using provenance enables holistic optimization
