Which Is Not Type of Data?


Heather Bennett

Which Is Not Type of Data?


Data is a crucial element in the world of information technology. It provides us with valuable insights and helps in making informed decisions.

However, it’s important to understand that not all information can be classified as data. In this article, we will explore different types of data and identify what does not fall under this category.

Types of Data:

Data can be broadly classified into four main types:

Numerical Data:

Numerical data represents quantities or measurements and can be further categorized into two subtypes: discrete and continuous. Discrete numerical data consists of whole numbers or integers, while continuous numerical data includes values that can be measured on a continuous scale.

Categorical Data:

Categorical data represents distinct categories or groups and cannot be measured numerically. This type of data is often represented by labels or names and can also be further divided into nominal and ordinal categories.

Nominal categorical data has no inherent order, while ordinal categorical data has a specific order or ranking.

Ordinal Data:

Ordinal data is a specific type of categorical data that represents variables with ordered categories. These categories have a clear ranking or hierarchy but do not have any fixed numerical values associated with them.

Textual Data:

Textual data consists of words, sentences, or paragraphs in written form. This type of data is commonly found in documents, articles, books, etc., and is often used for analysis in natural language processing (NLP) applications.

What Is Not Data?

While there are several types of information we encounter daily, not all of them can be considered data. Let’s explore a few examples of what does not fall under the category of data:

  • Opinions: Opinions are subjective expressions or beliefs that cannot be measured or quantified. While they may provide valuable insights, opinions do not meet the criteria for data.
  • Emotions: Emotions such as happiness, sadness, anger, etc., are personal experiences that cannot be objectively measured.

    Although emotions play a significant role in human behavior, they are not considered data.

  • Beliefs: Beliefs are individual convictions or faiths that differ from person to person. They are based on personal values and ideologies and do not fit into the realm of measurable data.

It’s important to distinguish between information that can be classified as data and other subjective elements like opinions, emotions, and beliefs. Data provides us with objective facts and figures that can be analyzed and utilized for various purposes.


In conclusion, data is an essential element in the world of information technology. It helps us gain insights and make informed decisions. However, it’s crucial to understand what falls under the category of data and what does not.

Opinions, emotions, and beliefs are subjective elements that cannot be objectively measured or quantified, making them distinct from data. By recognizing these differences, we can effectively utilize data for analysis and decision-making processes.

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