What is the primary goal of Exploratory Data Analysis (EDA)?
- To confirm a pre-existing hypothesis
- To create an aesthetic representation of the data
- To make precise predictions about future events
- To understand the underlying structure of the data
The primary goal of EDA is to understand the underlying structure of the data, including distribution, variability, and relationships among variables. EDA allows analysts to make informed decisions about further data processing steps and analysis.
Loading...
Related Quiz
- What is the general threshold value of VIF above which multicollinearity is generally assumed to be high?
- In _____ deletion, all data from a participant is discarded if any single value is missing.
- Suppose you have an overfitting model. You identify that missing data was incorrectly filled with a constant value. How might this have contributed to overfitting?
- You have a dataset with missing values and you've chosen to use multiple imputation. However, the results after applying multiple imputation are not as expected. What factors might be causing this?
- What implications can a negative correlation coefficient value hold?