BaileeRice / School_District_Analysis

Revising a dataset of grades to help decide how much money is allocated for school funding

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

School_District_Analysis

OVERVIEW:

A school board has commissioned you to revise a data-set of grades due to academic dishonesty, the incident happened in the 9th grade classes specifically. We'll be trying to get the full picture of the academic landscape by sorting the data by grade, school, and school type to get a better idea of funding for the next school year.


RESULTS:

-The district summary saw negligable changes after further investigation, with the average scores remaining basically unaffected(~.1% change).

-Overall passing saw a similar change, from 65.2% ---> 64.9%

BEFORE: image

AFTER: image


-Thomas High School's average math and reading grades fell from 83.42% ---> 83.35% and 83.84% ---> 83.89% respectively

BEFORE: image

AFTER: image


-Replacing the data due to academic dishonesty at Thomas High has no affect on any other schools personal averages


NINTH GRADE SCORE CHANGES:

AVG MATH from 79% ---> 78.9%

AVG READING remained 81.9%

AVG MATH SUCCESS RATE from 75% ---> 74.8%

AVG READING SUCCESS RATE from 86% ---> 85%

OVERALL PASSING PERCENTAGE from 65% ---> 64.9%


SUMMARY: Overall, the academic dishonesty in the 9th grade class at Thomas High had a relatively non-existant effect in the grand scheme of things. However, it's good that we made the change to show the data as accurate as possible to help the board decide on who gets funding, that one percent discrepancy could be the difference between a school or class getting less/more funding than it shouldve, which is exactly what we dont want. This revised data-set should help steer the school board in the right direction.

About

Revising a dataset of grades to help decide how much money is allocated for school funding


Languages

Language:Jupyter Notebook 100.0%