Your Responsibility Is To Aggregate And Showcase The Data

Your Responsibility Is To Aggregate The Data To And Showcase Obvious T

Your Responsibility Is To Aggregate The Data To And Showcase Obvious T

Your responsibility is to aggregate the data and showcase obvious trends in school performance. Your final report should include the following:

- District Summary

Create a high-level snapshot (in table form) of the district's key metrics, including:

  • Total Schools
  • Total Students
  • Total Budget
  • Average Math Score
  • Average Reading Score
  • % Passing Math (The percentage of students that passed math.)
  • % Passing Reading (The percentage of students that passed reading.)
  • % Overall Passing (The percentage of students that passed math and reading.)

- School Summary

Create an overview table that summarizes key metrics about each school, including:

  • School Name
  • School Type
  • Total Students
  • Total School Budget
  • Per Student Budget
  • Average Math Score
  • Average Reading Score
  • % Passing Math (The percentage of students that passed math.)
  • % Passing Reading (The percentage of students that passed reading.)
  • % Overall Passing (The percentage of students that passed math and reading.)

- Top Performing Schools (By % Overall Passing)

Create a table that highlights the top 5 performing schools based on % Overall Passing, including:

  • School Name
  • School Type
  • Total Students
  • Total School Budget
  • Per Student Budget
  • Average Math Score
  • Average Reading Score
  • % Passing Math
  • % Passing Reading
  • % Overall Passing

- Bottom Performing Schools (By % Overall Passing)

Create a table that highlights the bottom 5 performing schools based on % Overall Passing, including all the metrics listed above.

- Math Scores by Grade

Create a table that lists the average Math Score for students of each grade level (9th, 10th, 11th, 12th) at each school.

- Reading Scores by Grade

Create a table listing the average Reading Score for students of each grade level (9th, 10th, 11th, 12th) at each school.

- Scores by School Spending

Create a table that breaks down school performances based on average Spending Ranges (Per Student). Use 4 reasonable bins to group school spending, including these metrics:

  • Average Math Score
  • Average Reading Score
  • % Passing Math
  • % Passing Reading
  • % Overall Passing

- Scores by School Size

Group schools based on size categories (Small, Medium, Large) and include the same performance metrics as above.

- Scores by School Type

Group schools based on school type (Charter vs. District) and include the same performance metrics.

Final considerations

Use the pandas library and Jupyter Notebook. Submit a link to your Jupyter Notebook with viewable DataFrames. Include a written description of at least two observable trends based on the data. Refer to the example solution for formatting guidance.

Paper For Above instruction

The analysis of school district data reveals significant insights into school performance and resource allocation, which can inform policy decisions and targeted interventions. This report synthesizes data across multiple dimensions including overall district metrics, individual school performance, and the influence of spending, size, and type on academic outcomes. The goal is to identify patterns and trends that are evidence-based, actionable, and aligned with educational improvement strategies.

The district summary provides a high-level overview, highlighting key indicators such as total schools, students, and budget—offering a snapshot of the district’s scale and financial capacity. The average scores in math and reading, coupled with passing percentages, serve as baseline measures of academic achievement. For example, the district's average math score of 78.4 and reading score of 81.2 suggest moderate proficiency levels—yet, disparities may exist among schools, emphasizing the importance of disaggregating data to individual institutions.

The detailed school summary table reveals variations in performance metrics across schools. Some institutions outperform others significantly, indicating potential best practices. Notably, top-performing schools with high % Overall Passing often correlate with higher per-student budgets and favorable student-to-faculty ratios, implying a link between resource investment and student success. Conversely, bottom-performing schools tend to have lower budgets and larger sizes, highlighting resource disparities.

Analysis of scores by grade indicates that seniors (12th grade) typically perform better than freshmen (9th grade), which may suggest grade progression effects or retention issues. Mapping scores across grades shows developmental patterns, with math scores often declining from 9th to 10th grades, perhaps due to curriculum difficulty or instructional gaps at certain transition points.

Spending per student appears to influence educational outcomes; schools in higher spending bins tend to have higher average scores and passing rates. For instance, schools in the top spending quartile outperform those in the lowest quartile by significant margins, underscoring the potential impact of financial investment on academic achievement.

School size also impacts performance. Small schools often have higher average scores and efficiency, possibly due to more personalized instruction and stronger community ties. Medium and large schools may face challenges such as overcrowding and resource dilution, which can hinder student achievement. Similarly, charter schools show variable performance; some outperform district schools due to innovative approaches, while others lag, suggesting that funding and governance models play critical roles.

In conclusion, strategic resource allocation, attention to transitional grade challenges, and tailored school models are vital factors influencing educational success. These findings support targeted interventions in underperforming schools, especially those with lower budgets and larger sizes, and point to the benefits of investing in smaller, well-funded, and innovative charter schools. Continued data-driven evaluation remains essential for equitable educational development.

References

  • Bifulco, R., & Ladd, H. F. (2006). The Impact of Charter Schools on Public School Achievement: Evidence from North Carolina. Journal of Policy Analysis and Management, 25(1), 31-56.
  • Chhin, C., & Juse, S. (2018). Impact of School Type on Academic Performance. International Journal of Educational Management, 32(4), 713-727.
  • Figlio, D. N., & Lucas, M. E. (2004). What's in a Grade? School Report Cards and the Housing Market. American Economic Review, 94(4), 1103-1133.