Quiz Challenge: Basics with Python [Questions]

Solve These Questions in Following Challange

Topics: ,

Dataset Information

You have a dataset containing the subject marks (physics, chemistry, math, and biology) of students. Each row represents a student, and each column represents the marks in a specific subject.

Dataset Example:

StudentPhysicsChemistryMathBiology
S180759085
S270859278
S388808590

Quiz Questions:

1. Calculate Average Marks:

   – Create a Python function to calculate the average marks for each subject (physics, chemistry, math, biology) across all students in the dataset.

Question:

Create a Python function to calculate the average marks for each subject (physics, chemistry, math, biology) across all students in the dataset.

Answer: Python

2. Overall Average Performance:

  Write a Python script to find the overall average marks of each student across all subjects. 

Question:

Write a Python script to find the overall average marks of each student across all subjects.

Answer: Python

3. Performance Summary:

   – Create a summary report that includes the overall average marks, the subject with the best average performance, and the best-performing student. Display this information in a clear and readable format.

Question:

Create a summary report that includes the overall average marks, the subject with the best average performance, and the best-performing student. Display this information in a clear and readable format.

Dataset for pivot

StudentSubjectMark
S1Physics80
S1Chemistry75
S1Math90
S1Biology85
S2Physics70
S2Chemistry85
S2Math92
S2Biology78
S3Physics88
S3Chemistry80
S3Math85
S3Biology90

This dataset represents the marks of students (S1, S2, S3) in different subjects (Physics, Chemistry, Math, Biology). The ‘Student’ column represents the student IDs, the ‘Subject’ column represents the subjects, and the ‘Mark’ column represents the corresponding marks.

4. Pivot Table – Subject-wise Average:

Question: Create a pivot table to display the average marks for each subject across all students.

5. Pivot Table – Student-wise Subject Performance:

Question: Generate a pivot table that shows the marks of each student in physics, chemistry, math, and biology.

How useful was this post?

Click on a star to rate it!

  • ANCOVA: Analysis of Covariance with python

    ANCOVA is an extension of ANOVA (Analysis of Variance) that combines blocks of regression analysis and ANOVA. Which makes it Analysis of Covariance.

  • Learn Python The Fun Way

    What if we learn topics in a desirable way!! What if we learn to write Python codes from gamers data !!

  • Meet the most efficient and intelligent AI assistant : NotebookLM

    Start using NotebookLM today and embark on a smarter, more efficient learning journey!

  • Break the ice

    This can be a super guide for you to start and excel in your data science career.

  • Manova Quiz

    Solve this quiz for testing Manova Basics

  • Quiz on Group By

    Test your knowledge on pandas groupby with this quiz

  • Visualization Quiz

    Observe the dataset and try to solve the Visualization quiz on it

  • Versions of ANCOVA (Analysis Of Covariance) with python

    To perform ANCOVA (Analysis of Covariance) with a dataset that includes multiple types of variables, you’ll need to ensure your dependent variable is continuous, and you can include categorical variables as factors. Below is an example using the statsmodels library in Python: Mock Dataset Let’s create a dataset with a mix of variable types: Performing…

  • Python Variables

    How useful was this post? Click on a star to rate it! Submit Rating

  • A/B Testing Quiz

    Complete the code by dragging and dropping the correct functions

  • Python Functions

    Python functions are a vital concept in programming which enables you to group and define a collection of instructions. This makes your code more organized, modular, and easier to understand and maintain. Defining a Function: In Python, you can define a function via the def keyword, followed by the function name, any parameters wrapped in parentheses,…

  • Python Indexing: A Guide for Data Science Beginners

    Mastering indexing will significantly boost your data manipulation and analysis skills, a crucial step in your data science journey.

  • Diffusion Models: Making AI Creativity

    Stable Diffusion Models: Where Art and AI Collide Artificial Intelligence meets creativity in the fascinating realm of Stable Diffusion Models. These innovative models take text descriptions and bring them to life in the form of detailed and realistic images. Let’s embark on a journey to understand the magic behind Stable Diffusion in a way that’s…

Instagram
WhatsApp
error: Content is protected !!