In data analysis, EDA stands for _______.
- Empirical Data Assessment
- Exploratory Data Analysis
- Exponential Data Analysis
- Expressive Data Assimilation
In data analysis, EDA stands for Exploratory Data Analysis. It is an approach to analyzing data sets to summarize their main characteristics, often with visual methods.
Loading...
Related Quiz
- What is the role of Principal Component Analysis (PCA) in handling Multicollinearity?
- The choice of graph for data visualization largely depends on the __________ of the dataset.
- You have a dataset in which the 'income' feature has some missing values. You decided to use mode imputation. Why could this lead to misleading results?
- Incorrect handling of missing data can lead to a(n) ________ in model performance.
- How does incorrect imputation of missing data influence the accuracy of a predictive model?