Data Exploration Quiz

What is data exploration?

• The process of cleaning data

• The process of examining datasets

• The process of visualizing data

• The process of collecting data

Why is data exploration important?

• It helps in data storage

• It uncovers hidden patterns

• It reduces data size

• It automates data collection

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

• NumPy

• Matplotlib

• Pandas

What does EDA stand for?

• Exploratory Data Analysis

• Enhanced Data Application

• Essential Data Analysis

• Effective Data Assessment

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

• Histograms

• Scatter plots

• Heatmaps

• Correlation matrices

What is a challenge in data exploration?

• Data storage

• Data collection

• Large datasets

• Data visualization

What is the purpose of feature engineering?

• To create new features

• To clean the data

• To collect data

• To visualize data

Which library is used for data cleaning?

• Pandas

• Seaborn

• NumPy

• Tableau

What do box plots help identify?

• Data distribution

• Outliers

• Data trends

• Data correlations