Data Exploration Quiz

What is data exploration?

• The process of collecting data

• The process of modeling data

• The process of examining datasets

• The process of cleaning data

Why is data exploration important?

• It helps in data storage

• It uncovers hidden patterns

• It automates data collection

• It reduces data size

What is the first step in data exploration?

• Data Cleaning

• Data Collection

• Data Visualization

• Feature Engineering

Which tool is commonly used for data visualization?

• OpenRefine

• Matplotlib

• Pandas

• NumPy

What does EDA stand for?

• Essential Data Analysis

• Enhanced Data Application

• Effective Data Assessment

• Exploratory Data Analysis

Which of the following is a technique used in univariate analysis?

• Heatmaps

• Correlation matrices

• Box plots

• Scatter plots

What is a challenge in data exploration?

• Data storage

• Data collection

• Large datasets

• Data visualization

Which library is used for data cleaning?

• Pandas

• Seaborn

• NumPy

• Tableau

What do scatter plots show?

• Distribution of a single variable

• Correlations between multiple variables

• Relationships between two variables

• Data spread and outliers

What is the purpose of feature engineering?

• To collect data

• To clean data

• To create new features for analysis

• To visualize data