DSV endsem (5 and 6) Flashcards

(12 cards)

1
Q

GIS

A

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

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1
Q

How can healthcare data visualizations help in tracking disease outbreaks and patient outcomes?

A

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

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2
Q

What key metrics are often visualized in marketing dashboards?

A

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)

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3
Q

How would you visualize the effectiveness of an online marketing campaign

A

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)

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4
Q

How can financial dashboards be used to monitor real-time stock market movements and portfolio performance?

A

1 Real time data visualisation
2 Portfolio performance
3 Goals tracking
4 Stock price tracking
5 ROI tracking
6 Trend analysis

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5
Q

How can sentiment analysis of financial news be integrated into financial data visualization to enhance investment strategies?

A

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

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6
Q

What ethical considerations must be kept in mind when visualizing data for public policy decisions or social media campaigns?

A

1 Data integrity
2 Transparency
3 Accuracy
4 Sentiment analysis
5 Privacy
6 Bias avoidance
7 Context
8 Accessibility
9 Representation (stereotypes)
10 Timeliness

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7
Q

What are the challenges of visualising large scale scientific data?

A

Data volume
Noise and outliers
Data heterogenity
Dynamic data (changing)
Handling Interactivity
Data overload
Data complexity
Computational resource compatibility
Resolution and scalability
Misinterpreted results

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8
Q

How would you assess effectiveness of data visualizations used in marketing reports

A

1 Accuracy
2 Simplicity
3 Clarity
4 Relevance
5 Engagement
6 Consistency
7 Actionable insights
8 Audience understanding
9 Storytelling

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9
Q

Parallel coordinates

A

Visualise complex data with many features
Feature: vertical lines
Entities(people, product): connect

Used for:
Patterns
Outliers
Big data analysis

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10
Q

Node - link plot

A

Node: entities
Link: relations

Key nodes - more connected than others, main/major entity
Clusters - group of nodes tightly connected

Isolated nodes
Central hubs

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11
Q

GIS softwares strengths and weaknesses

A

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

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