What is the main goal of exploratory data analysis (EDA)? To confirm a specific hypothesis To summarize the main characteristics of a data set To test statistical assumptions To visualize and understand the structure of a data set

Data Preparation - Exploratory Data Analysis (EDA)Which of the following is NOT included in exploratory data analysis?Review LaterRemoving irrelevant featuresGenerating correlation scatter plotsDisplaying the total number of rows and columns in the datasetShowing descriptive statistics such as min, max, mean, and standard deviation

What does EDA stand for in data analysis?Exploratory data analysisExternal data analysisExternal data aggregationExploratory data aggregation

Explain why EDA skills are important in data analysis?

Which of the following is a primary goal of data analysis?Data CollectionData VisualizationDecision MakingData Cleaning

Which techniques do data scientists typically use for exploratory data analysis?1 pointThey use descriptive statistics and data visualization techniquesThey use support vector machines and neural networks as feature extraction techniques.They use deep learningThey begin with regression, classification, or clustering