Python pandas assignment for coding bootcamp As a first task, you've been asked to analyze the district-wide standardized test results. You'll be given access to every student's math and reading scores, as well as various information on the schools they attend. Your responsibility is to aggregate the data to and showcase obvious trends in school performance. Your final report should include each of 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. Include:
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.)
Bottom Performing Schools (By % Overall Passing)
Create a table that highlights the bottom 5 performing schools based on % Overall Passing. Include all of the same metrics as 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 that lists 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. Include in the table each of the following:
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.)
Scores by School Size
Repeat the above breakdown, but this time group schools based on a reasonable approximation of school size (Small, Medium, Large).
Scores by School Type
Repeat the above breakdown, but this time group schools based on school type (Charter vs. District).
As final considerations:
Use the pandas library and Jupyter Notebook. You must submit a link to your Jupyter Notebook with the viewable Data Frames. You must include a written description of at least two observable trends based on the data. See Example Solution for a reference on the expected format.