Use Python to calculate students’ grades and convert it to a format that can be uploaded to the school’s administrative system. The final data table consists of the columns labeled as ID, Name, Homework scores, Quizzes Scores, Exams, Final Score, and Final Letter Grade. Each row contains data for individual students. A summary statistics plot is created to visualize the distribution.

The project involves:

• Data exploration
• Loading the data with Pandas
• Calculating the final grade
• Plotting the grade distribution

Datasets — CSV files:

• Information of the class roster
• Homework and exam scores
• Quiz grades

Complications:

• Students’ names are represented differently in each file
• Some students use nicknames and preferred names instead of what was recorded in the class roster
• Students with the same name have uniquely modified emails; therefore, each email address does not have the same elements
• Missing data
• Each data sources sorts the data differently
• Columns with the same data are labeled differently in each file

Process:

• Libraries used are pathlib, pandas, numpy, scipy, and matplotlib.

• Load and clean files

• Merge DataFrames

• Calculate students’ grades per category

• Calculate final letter gradeGroup and sort final_data

• Plot summary statistics