# Panda challenge 2 | Computer Science homework help

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(attachment1).
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