Скачать или смотреть How to Calculate the Average Grades by Gender in Python from CSV Data

Learn how to combine and analyze data from CSV files in Python to calculate the average grades for male and female students without using Pandas.
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How to Calculate the Average Grades by Gender in Python from CSV Data

When working with data files, especially in education analytics, understanding how to manipulate and analyze data effectively is crucial. If you're dealing with CSV files in Python and you want to determine the average scores of students based on gender, this guide will guide you through a step-by-step solution.

The Problem

Imagine you've got a CSV file named StudentsPerformance.csv that contains information about students, including their gender, race, level of education, test preparation course taken, and scores in three subjects: Math, Reading, and Writing. You want to determine the average scores of male and female students.

Here’s a quick look at how the data appears in your CSV file:

[[See Video to Reveal this Text or Code Snippet]]

Sample Data Breakdown

In your dataset, each entry includes:

Gender (male/female)

Group or Race

Parental Level of Education

Test Preparation Course

Math Score

Reading Score

Writing Score

Your goal is to compute the average scores for Math, Reading, and Writing for male and female students separately.

The Solution Steps

Let's break down the process into clear steps:

Step 1: Read and Prepare the Data

First, you will read the CSV file and split it into a list. The following code will show how to accomplish this:

[[See Video to Reveal this Text or Code Snippet]]

Step 2: Split the Header and Student Data

Once you've read the data, you'll want to split the header and the students into individual components for easier access:

[[See Video to Reveal this Text or Code Snippet]]

Step 3: Initialize Variables for Averages

Before we start calculating averages, initialize variables to hold the total scores and counts for male and female students:

[[See Video to Reveal this Text or Code Snippet]]

Step 4: Iterate Over Students

Next, loop through each student, checking their gender and adding their scores to the respective totals:

[[See Video to Reveal this Text or Code Snippet]]

Step 5: Calculate Average Scores

Finally, compute the average for each gender by dividing the total scores by the number of students and the number of subjects (3 in this case):

[[See Video to Reveal this Text or Code Snippet]]

Conclusion

By following these steps, you will be able to effectively calculate and print the average grades for both male and female students using Python without relying on external libraries like Pandas. It's a practical approach that demonstrates Python's capabilities in data manipulation and analysis. If you're analyzing educational data, these skills can be invaluable!

Remember to code carefully and always validate your results. Happy coding!