Different Ways to Present Data

Question 1

Cleaning:

Answer 1

• Definition: Cleaning involves the process of removing irrelevant or erroneous data to enhance data quality.
  
  • Example: Removing duplicate entries from a dataset.

Question 2

Marks:

Answer 2

• Definition: Marks are individual data points represented in a visualization.
  
  • Example: Points on a scatter plot representing individual data values.

Question 3

Attributes:

Answer 3

• Definition: Attributes are characteristics of data points, such as color, size, or shape.
  
  • Example: Color-coded data points indicating different product categories.

Question 4

Colour:

Answer 4

• Definition: Using different colors to represent different data points or categories.
  
  • Example: Color-coding regions on a map to represent sales performance.

Question 5

Saturation:

Answer 5

• Definition: Saturation refers to the intensity of colors used in a visualization.
  
  • Example: Darker shades indicating higher values in a heat map.

Question 6

Scale:

Answer 6

• Definition: Scale represents the range or scope of values on an axis in a chart.
  
  • Example: Temperature scale on the y-axis of a line graph.