Project: Exploring NYC Public School Test Result Scores

EXLORING NYC PUBLIC SCHOOL TEST RESULTS SCORES

Every year, American high school students take SATs, which are standardized tests intended to measure literacy, numeracy, and writing skills. There are three sections - reading, math, and writing, each with a maximum score of 800 points. These tests are extremely important for students and colleges, as they play a pivotal role in the admissions process.

Analyzing the performance of schools is important for a variety of stakeholders, including policy and education professionals, researchers, government, and even parents considering which school their children should attend.

You have been provided with a dataset called schools.csv, which is previewed below.

You have been tasked with answering three key questions about New York City (NYC) public school SAT performance.

1. Importing library and reading data into a DataFrame

# Re-run this cell 
import pandas as pd
# Read in the data
schools = pd.read_csv("schools.csv")
# Preview the data
schools.head()

2. Finding schools with the best math scores

# Filtering the dataset with school name and average math columns
best_math_schools = schools[['school_name','average_math']]
best_math_schools = best_math_schools[best_math_schools['average_math'] >= (800*80/100)].sort_values('average_math', ascending=False)
best_math_schools

3. Identifying the top 10 performing schools

# Calculating total SAT score column
schools['total_SAT'] = schools['average_math'] + schools['average_reading'] + schools['average_writing']  
# Finding top 10 Schools based on total SAT score
top_10_schools = schools[['school_name','total_SAT']].sort_values(by='total_SAT', ascending=False)
top_10_schools = top_10_schools.head(10)
top_10_schools

4. Locating the NYC borough with the largest standard deviation in SAT performance