Types of Data in Data Science and Why They Matter
I ntroduction When working with data, one of the first things I learned was that not all data is the same. Some data comes in numbers, some in text, and some in categories. Understanding different types of data makes analysis easier and helps in choosing the right methods and tools. In this post, I’ll explain the main types of data used in data science and why they are important Why Understanding Data Types Is Important Knowing the type of data helps to: • Choose the correct analysis method • Avoid incorrect conclusions • Apply the right machine learning models • Clean and process data properly Without understanding data types, analysis can easily go wrong. Main Types of Data Data can be broadly divided into two major categories . 1. Qualitative Data Qualitative data describes qualities or characteristics. It is usually non-numerical . Examples include: • Gender • City names • Product categories • Colors This type of data focuses on what kind rather than how much ...