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The following analysis delves into the generation of summary statistics based on math and reading test results of high school students within a given school district. This analysis then delves further to look at how testing results can be compared within the constraints of school size and budget allocated for each student.

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pandas python jupyter-notebook aggregate-functions dataframes summary-statistics summary-tables test-statistics

school-district-testing-proficiency-results's Introduction

School District Testing Proficency Results

Screenshots

District Summary:: Screenshot (178)

School Summary: Screenshot (179)

Test Results by Budget per Student: Screenshot (181)

Test Results by School Size: Screenshot (182)

Background

Having spent years analyzing financial records for big banks, you've finally scratched your idealistic itch and joined the education sector. Your latest role is Chief Data Scientist for your city's school district. In this capacity, you'll be helping the school board and mayor make strategic decisions regarding future school budgets and priorities.

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 task is to aggregate the data to showcase obvious trends in school performance.

References

Data generated by Mockaroo, LLC. (2021) Realistic Data Generator. https://www.mockaroo.com/. Modified by Trilogy Education Services, LLC.


© 2022 Trilogy Education Services, a 2U, Inc. brand. All Rights Reserved.

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