What is the primary goal of exploratory data analysis (EDA)?
A. To build predictive models
B. To create visualizations
C. To collect more data
D. To understand the data's underlying structure and patterns
Answer: Option D
Solution (By Examveda Team)
Exploratory Data Analysis (EDA) is primarily used to gain insights into the data's underlying structure and patterns.It helps in identifying key variables, relationships, and outliers that can influence further analysis.
While creating visualizations and collecting data are part of the data analysis process, the core objective of EDA is to understand the data's characteristics and inform the next steps in the analysis.
This Question Belongs to Data Science >> Data Science Miscellaneous
Join The Discussion
Comments (1)
A. Chi-squared test
B. T-test
C. ANOVA
D. Regression analysis
In the context of data ethics, what does "bias mitigation" refer to?
A. Increasing the sample size
B. Improving model accuracy
C. Removing outliers from a dataset
D. Reducing biases in data collection
What does the term "overfitting" mean in machine learning?
A. The model fits the training data too closely and performs poorly on new data
B. The model generalizes well to new data
C. The model is too simple and underperforms on the training data
D. The model is perfectly accurate on all data
In the CRISP-DM data mining process model, what does "DM" stand for?
A. Data Modeling
B. Data Mining
C. Data Manipulation
D. None of the above
What is the main goal of exploratory data analysis (EDA)?