Data Analytics & EDA

What is the primary objective of Exploratory Data Analysis (EDA)?

• To finalize the data model

• To make predictions

• To summarize data characteristics through visualization and statistics

• To clean and preprocess the data

Which library is primarily used for numerical manipulations?

• pandas

• matplotlib

• numpy

• seaborn

What function is used to load the dataset?

• pd.load()

• pd.read_csv()

• np.load()

• sns.read_csv()

How do you inspect the first few rows of a DataFrame in pandas?

• data.first()

• data.size()

• data.info()

• data.head()

What method is used to check the specifically the data types of each column in a pandas DataFrame?

• data.info()

• data.dtypes

• data.dtypes()

• data.describe()

Which function checks for missing values in the dataset?

• data.missing()

• data.isnull().sum()

• data.nan_count()

• data.value_counts()

Which visualization is used to detect outliers in the dataset?

• Line Plot

• Scatter Plot

• Box Plot

• Histogram

What does the variable IQR represent in the notebook?

• Interquartile Range

• Inner Quartile Range

• Interval Quantile Range

• Index Quantile Range

How are outliers identified in the dataset?

• Rows with missing values

• Values outside the range defined by IQR

• Values equal to the mean

• Values less than zero

Which library is used for creating advanced graphical plots from dataset?

• numpy

• pandas

• seaborn

• matplotlib