Skip to content

aperconti/pandas-challenge

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

9 Commits
 
 
 
 
 
 

Repository files navigation

In this activity I will be analyzing the district-wide standardized test results. I aggregated the data to showcase obvious trends in school performance. My final report includes each of the following:

District Summary

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 % Passing Reading Overall Passing Rate (Average of the above two)

School Summary

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 % Passing Reading Overall Passing Rate (Average of the above two)

Top Performing Schools (By Passing Rate)

table that highlights the top 5 performing schools based on Overall Passing Rate. Include:

School Name School Type Total Students Total School Budget Per Student Budget Average Math Score Average Reading Score % Passing Math % Passing Reading Overall Passing Rate (Average of the above two)

Bottom Performing Schools (By Passing Rate)

table that highlights the bottom 5 performing schools based on Overall Passing Rate. Include all of the same metrics as above.

Math Scores by Grade**

table that lists the average Math Score for students of each grade level (9th, 10th, 11th, 12th) at each school.

Reading Scores by Grade

table that lists the average Reading Score for students of each grade level (9th, 10th, 11th, 12th) at each school.

Scores by School Spending

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 % Passing Reading Overall Passing Rate (Average of the above two)

Scores by School Size

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

Scores by School Type

I repeated the above breakdown, but this time grouped schools based on school type (Charter vs. District).

About

data cleaning in pandas

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published