Data Visualisation Flashcards
1
Q
Why do we use data visualisation?
A
- Data visualisation gives us a clear idea of what information means by giving it context through maps, infographics, statistical charts and many more
- Data visualisation makes quantitative (or qualitative) data more natural for the human mind to comprehend through pictorial means
- Data visualisation makes it easier to identify trends, patterns and outliers within large data sets
2
Q
Why is data visualisation important?
A
- It uses simplified visuals of raw data that’s “crunched” by models to communicate findings that are intuitive & effective
- Visual outputs can serve help academics, stakeholders, policy makers etc., for decision making as well as prediction for outcomes.
3
Q
What are the benefits of data visualisation?
A
- To support evidence-based research in establishing correlations in relationships
- To demonstrate trends of time which, turn in, is used for making predictions (aka forecast) ahead in time
- To show frequency of events represented in pictorial form, and how data is centred around a value and how its spread out around that value as well as over an interval etc.
4
Q
List the different techniques for data visualisation.
A
- Infographics
- Heatmap visualisation
- Trend-based visualisation
- Bi, or multi-variable visualisation
- Visualisations representing densities & distributions of numerical data
5
Q
What are histograms used for?
A
Histogram is the most commonly used graph to show the frequency of observations.
6
Q
What is a ‘bin’?
A
User specified ranges (aka groups) that these observations (or data points) are counted.
7
Q
What’s the difference between density plots and histograms?
A
Density plots shows the same thing as a histogram (frequency of observations), however these observations are counted on a continuous interval.
8
Q
What’s the difference in shape between density plots and histograms?
A
Density plots are smooth curves and histograms are made up of bars.
