Data is a collection of information.
One of the key goals of Data Science is to organize data, making it understandable and manageable.
Data can be divided into two categories:
Unstructured data lacks organization, and it needs to be structured before it can be analyzed.
Structured data is well-organized, making it easier to process and analyze.
Data can be structured or presented using an array or a database table.
For example, an array:
| [80, 85, 90, 95, 100, 105, 110, 115, 120, 125] |
The following example demonstrates how to create an array in Python:
| Array = [80, 85, 90, 95, 100, 105, 110, 115, 120, 125] print(Array) |
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In Data Science, working with large data sets is common. In this tutorial, we will simplify the concepts of Data Science by using a small, easy-to-interpret data set. |
