In data visualisation, there are various types of data that can apply the same information but look different.
The types include:
– Nominal: pertaining to names
– Ordinal: order
– Interval: numeric, can do mathematical operations on it but does not have a meaningful zero point. Examples include calendars, temperatures
– Ratio: zero means you dont have anything of that type, some variable examples include height, weight, age, money
Above is a graph on data types to break them down and differentiate them more easier like how ratio and interval are numerical based while ordinal and nominal are categorical based.
Reflection:
Data types play an important role in data visualisation and acknowledging these different data types have helped further improve my understanding about how data can vary. Categorising these data types enable a better understanding when there is label.
melsdata 