SherryKennedy / Pandas_School_Analysis

All city schools data analysis. Type of school, resources, math and reading scores. Passing scores.

Pandas_School_Analysis

Using Jupyter Notebook and Pandas. Reviewing schools for data analysis.

More Python coding.

Analyzing city school data to make future school budget decisions.

Setup

• Inside the local git repository, created a folder for the Python/Pandas Challenge. CitySchools

• The analysis can be seen in the files: 'School Data Analysis.RTF' or 'School Data Analysis.DOCX'

• Inside of this folder 'CitySchools'; added the following:

  • A new file called CitySchools.ipynb. This is the main script to run for analysis.
  • A "Resources" folder that contains the CSV files used. Make sure the script has the correct path to the CSV file.

District Summary

• A table that summarizes key metrics about each school, 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

• 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)

• 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

• 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

• 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

• 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

• Repeated the above breakdown, but this time grouped schools based on a reasonable approximation of school size (Small, Medium, Large).

Scores by School Type

• Repeated the above breakdown, but this time group schools based on school type (Charter vs. District).

References

Mockaroo, LLC. (2021). Realistic Data Generator. https://www.mockaroo.com/

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