Data Science for Engineers Lab A

Name

Enrollment Number

Roll Number

What is the difference between data scientist , data analyst and data engineer

What does the kernel in Jupyter Notebook do?

• (a) It manages the styling of the notebook.
• (b) It executes the code cells and manages the output.
• (c) It restores deleted files.
• (d) It formats the text output.

How can you remove rows with missing values (NAs) in a DataFrame?

• (a) df.delete_na()
• (b) df.remove_missing()
• (c) df.dropna()
• (d) df.clear()

Write a Python code snippet to drop all rows from a dataFrame where any of the values are NaN. Explain what happens if you use inplace=True.

You have a DataFrame df and want to reset its index after dropping some rows. What code would you use to reset the index without adding the old index as a new column?

• df.reset_index(inplace=True)
• df.reset_index(drop=True, inplace=True)
• df.reset_index(add=False, inplace=True)
• df.drop_index(inplace=True)

Which of the following best describes 'measures of normality' and how they are evaluated in a dataset?

• (a) Measures of normality determine how well data follow a normal distribution, and they can be evaluated using methods like the Shapiro-Wilk test or Q-Q plots.
• (b)Measures of normality calculate the central value of a dataset, such as the mean or median.
• (c) Measures of normality are used to visualize categorical data distributions with bar charts and pie charts.
• (d) Measures of normality identify the relationship between two numerical variables using scatter plots.