DSV endsem (5 and 6) Flashcards
(12 cards)
GIS
Geographic information system
Tool that helps make maps and see where things happen
Used for : Mapping, Spotting, Planning
ArcGIS - tool for mapping, analyzing and sharing g data
QGIS - free open source tool for creating, analyzing maps
Functions - Map, analyse, layer data
How can healthcare data visualizations help in tracking disease outbreaks and patient outcomes?
Disease outbreak :
1 Spotting trends quickly
2 Identifying hotspots
3 Realtime monitoring
4 Comparing data easily
5 Forecasting
6 Epidemiology report
Tracking patient outcomes
1 Measuring recovery
2 Monitoring patient progress
3 Highlighting risks
4 Improving decisions
5 Understanding treatment effectiveness
What key metrics are often visualized in marketing dashboards?
Factors :
1 website traffic, conversion rate, email clicks, social media metrics
2 cost per acq, ROI, CLV
Metrics:
1 Website (traffic, session time, bounce rate)
2 Social media (engagement, follower growth, top post)
3 Campaign metrics (CLV, conversion rate, cost per clik)
4 E-mail (click rate, Unsubscribe rate)
5 Funnel (Awareness, Interest, Conversion)
How would you visualize the effectiveness of an online marketing campaign
1 Click metric (bar, line)
2 Conversion metric (funnel)
3 ROI (pie chart)
4 Cost metric (bar, line)
5 Overall sales (dashboard)
6 Geographic data (heatmap)
How can financial dashboards be used to monitor real-time stock market movements and portfolio performance?
1 Real time data visualisation
2 Portfolio performance
3 Goals tracking
4 Stock price tracking
5 ROI tracking
6 Trend analysis
How can sentiment analysis of financial news be integrated into financial data visualization to enhance investment strategies?
1 Gather financial news data
2 Train sentiment analysis (NLP)
3 Track sentiment wrt time
4 Analyse data
Benefit:
Real time tracking
Precautionary measures
Goal setting and decision making
What ethical considerations must be kept in mind when visualizing data for public policy decisions or social media campaigns?
1 Data integrity
2 Transparency
3 Accuracy
4 Sentiment analysis
5 Privacy
6 Bias avoidance
7 Context
8 Accessibility
9 Representation (stereotypes)
10 Timeliness
What are the challenges of visualising large scale scientific data?
Data volume
Noise and outliers
Data heterogenity
Dynamic data (changing)
Handling Interactivity
Data overload
Data complexity
Computational resource compatibility
Resolution and scalability
Misinterpreted results
How would you assess effectiveness of data visualizations used in marketing reports
1 Accuracy
2 Simplicity
3 Clarity
4 Relevance
5 Engagement
6 Consistency
7 Actionable insights
8 Audience understanding
9 Storytelling
Parallel coordinates
Visualise complex data with many features
Feature: vertical lines
Entities(people, product): connect
Used for:
Patterns
Outliers
Big data analysis
Node - link plot
Node: entities
Link: relations
Key nodes - more connected than others, main/major entity
Clusters - group of nodes tightly connected
Isolated nodes
Central hubs
GIS softwares strengths and weaknesses
ArcGIS
Intuitive, strong representation | Expensive and not user friendly
QGIS
User friendly, free | Non complex maps
Google maps
Easy representation of maps | Not for deep data analysis
MapBox
Pretty maps for websites | Not for complex calculations
Carto
Good for live maps | Some tools cost money