Subsetting
Raw data
Ready for analysis
None of the mentioned
Answer is Right!
Answer is Wrong!
The correct answer is B. Raw data.
Raw data is data that has not been processed or analyzed. It is the original data that is collected from a source. Subsetting is the process of selecting a subset of data from a larger dataset. Ready for analysis means that the data has been processed and is ready to be analyzed.
Raw data is the odd man out because it is not ready for analysis. It needs to be processed and cleaned before it can be analyzed. Subsetting and ready for analysis are both steps in the process of analyzing data.
Here is a more detailed explanation of each option:
- Subsetting is the process of selecting a subset of data from a larger dataset. This can be done by specifying a set of criteria, such as a range of dates or a list of values. Subsetting can be used to reduce the size of a dataset, to focus on a specific subset of data, or to create a new dataset that is based on a subset of the original data.
- Raw data is data that has not been processed or analyzed. It is the original data that is collected from a source. Raw data can be in a variety of formats, such as text, numbers, images, or audio. It can be unstructured, semi-structured, or structured.
- Ready for analysis means that the data has been processed and is ready to be analyzed. This includes cleaning the data, removing any errors or inconsistencies, and converting it into a format that is compatible with the analysis tools that will be used.
I hope this helps!