IPBL_GCET

What is the primary purpose of Exploratory Data Analysis (EDA) in Data Science

• To make data more complicated

• To simplify complex data

• To discover patterns and insights in data

• 
  To visualize data

In EDA, what is the term for a graphical representation that displays distribution of a continuos variable

• Pie Chart

• Histogram

• Bar Chart

• Scatter Plot

What is the primary purpose of a scatter plot in EDA

• To show the distribution of a single variable
• To represent categorical data
• The primary purpose of a scatter plot in EDA is to visually display the relationship or correlation between two variables.
• To display the relationship between three variables

What is the purpose of a correlation matrix in EDA

• The purpose of a correlation matrix in EDA is to show the correlation coefficients between multiple variables, helping to identify relationships and patterns in the data.
• To highlight outliers in the data
• To show the standard deviation of the variables
• To display the mean of the variables

What does the term "Outlier" refer to in the context of EDA

• An outlier is a data point that is exactly in the middle of the dataset
• An outlier is a data point that has no impact on the analysis
• An outlier is a data point that is always excluded from the dataset
• An outlier in EDA refers to a data point that differs significantly from other observations in a dataset.

In EDA, What is the primary purpose of a heat map

• The primary purpose of a heat map in EDA is to visualize the distribution and relationships between variables in a dataset using color intensity.
• To show the alphabetical order of variables
• To display only numerical data
• To highlight outliers in the dataset

Which EDA technique is used to display the distrbution of a single variable, especially in case of categorical data

• Box Plot

• Histogram

• Scatter Plot

• Bar Chart

Which of the following gave rise to need of graphs in data analysis?

• Data visualization

• Communicating results

• Decision making

• All of the mentioned

Most often, EDA relies on _____.

• visual techniques

• assumptions

• fixed models

• testing for statistical significance

What is exploratory data analysis?

• A rigid framework by which we analyze data

• A type of purely quantitative method of data analysis

• An initial way by which we can get a feel for data

• 
  A set of scientific principles for analyzing data in a categorical manner