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Power BI Crash Safety Dashboard Design and Visualization

30 Chapters
View Course Samples Online
01
Crash safety data landscape
sources, formats, and key metrics for dashboard design.
landscapedashboard
02
Power BI environment setup
installing Power BI Desktop, configuring options, and connecting to crash data sources.
environmentinstalling
03
Data ingestion from crash databases
importing CSV, Excel, and SQL Server crash records with Power Query.
ingestiondatabases
04
Data cleaning and transformation for crash safety
handling missing values, standardizing severity codes, and normalizing injury scales.
cleaningtransformation
05
Building a crash data model
designing star schemas with crash events, vehicles, occupants, and road environment dimensions.
Buildingdesigning
06
DAX fundamentals for crash safety metrics
calculating crash frequency, injury severity rates, and fatality ratios.
DAXcalculating
07
Time intelligence for crash trends
year-over-year comparisons, seasonal patterns, and moving averages of crash counts.
intelligenceyear-over-year
08
Geospatial visualization of crash locations
using map visuals, heatmaps, and custom shape maps for accident hotspots.
Geospatialvisualization
09
Vehicle safety rating integration
merging NCAP and IIHS ratings with crash data for comparative analysis.
integrationNCAP
10
Occupant protection analysis
visualizing injury outcomes by seating position, restraint use, and vehicle type.
Occupantprotection
11
Crash severity distribution
designing histograms, box plots, and cumulative frequency charts for delta-V and injury scales.
severitydistribution
12
Interactive filtering with slicers
enabling dynamic exploration by crash type, road condition, and time period.
Interactivefiltering
13
Drill-through and drill-down design
creating hierarchical navigation from national crash statistics to individual case details.
Drill-throughdrill-down
14
Dashboard layout and UX for safety analysts
applying Gestalt principles, color coding for severity, and accessibility considerations.
Dashboardanalysts
15
KPI cards and gauges for crash safety
displaying key performance indicators like fatality rate per 100,000 vehicles.
KPIdisplaying
16
Comparative analysis across regions
using small multiples and synced slicers to compare crash patterns between states or countries.
Comparativeanalysis
17
Correlation analysis in Power BI
scatter plots and trend lines to explore relationships between speed limits and crash severity.
Correlationanalysis
18
Anomaly detection in crash data
using Power BI's anomaly detection and custom DAX to flag unusual spikes or outliers.
detectionDAX
19
What-if parameters for safety scenario modeling
simulating the impact of policy changes on crash outcomes.
parametersscenario
20
Bookmark and button navigation
building a multi-page dashboard with guided storytelling for crash safety reports.
Bookmarknavigation
21
Custom visuals for crash safety
integrating bullet charts, radar charts, and Sankey diagrams for complex injury pathways.
integratingdiagrams
22
Performance optimization for large crash datasets
using aggregations, composite models, and query folding.
Performanceoptimization
23
Row-level security for sensitive crash data
implementing role-based access to protect personally identifiable information.
Row-levelsecurity
24
Publishing and sharing dashboards
deploying to Power BI Service, configuring scheduled refresh, and setting up data alerts.
Publishingdashboards
25
Mobile layout design for crash safety dashboards
optimizing visuals for field investigators and executives on the go.
dashboardsoptimizing
26
Integrating real-time crash data
streaming datasets and push datasets for live incident monitoring.
Integratingreal-time
27
Advanced DAX for crash safety
using time-based calculations, ranking, and dynamic segmentation of crash severity.
AdvancedDAX
28
Dashboard testing and validation
ensuring data accuracy, visual consistency, and user acceptance for safety-critical reporting.
Dashboardvalidation
29
Case study
end-to-end design of a national crash safety dashboard from data ingestion to deployment.
end-to-endnational
30
Future trends and integration
incorporating AI insights, Power BI embedded analytics, and linking with telematics data for proactive safety analysis.
integrationincorporating