8
Data visualisations to compare data:

Data visualisations to compare data:

  • Upload
    kaleb

  • View
    66

  • Download
    0

Embed Size (px)

DESCRIPTION

Data visualisations to compare data:. Types of data visualisations. Data visualisation is a visual representation of data that would normally be hard to understand Displaying data in a visual form adds clarity 4 main ways of using data visualisation: Comparing data - PowerPoint PPT Presentation

Citation preview

Page 1: Data visualisations to compare data:

Data visualisations to compare data:

Page 2: Data visualisations to compare data:

Types of data visualisations

• Data visualisation is a visual representation of data that would normally be hard to understand

• Displaying data in a visual form adds clarity• 4 main ways of using data visualisation:– Comparing data– Showing distributions of data– Showing relationships between data– Showing the composition of data

Page 3: Data visualisations to compare data:

Types of data visualisations

• Data visualisations to compare data:• Tools to compare data:– Charts– Data list– Line chart or histogram

• Data visualisations to show distribution of data– Histogram, shows how data has changed over a

timeframe, eg. Hrs, days, months, yrs– Line histogram– Scatter charts

Page 4: Data visualisations to compare data:

Histogram

Page 5: Data visualisations to compare data:

Data visualisations to show relationships between data: Scatter chart

Page 6: Data visualisations to compare data:

Data visualisations to show relationships between data: bubble chart

Page 7: Data visualisations to compare data:

Sources of authentic data• Primary source data, directly acquired from the source• Secondary source data is an interpretation of a

primary event or primary source data• Primary source:, obtained through measurement,

data-collection forms, eg. Interviews, direct observation, email

• Secondary source, gathered from the published work of someone else, eg. Books, etc; online databases, internet.

Page 8: Data visualisations to compare data:

Data Integrity

• Data integrity, the degree to which the data is correct

• Data integrity is important because information is used to make decisions and take actions

• Validating data ensures high data integrity