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Here in School_District_Analysis project I compared the analysis before and after reading and math scores for the ninth grade at Thomas High School have been replaced with NaNs.

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School_District_Analysis

Overview of the school district analysis:

The school board has notified Maria and her supervisor that the students_complete.csv file shows evidence of academic dishonesty; specifically, reading and math grades for Thomas High School ninth graders appear to have been altered. Although the school board does not know the full extent of the academic dishonesty, they want to uphold state-testing standards and have turned to Maria for help. She has asked you to replace the math and reading scores for Thomas High School with NaNs while keeping the rest of the data intact. Once you’ve replaced the math and reading scores, Maria would like you to repeat the school district analysis that you did in this module and write up a report to describe how these changes affected the overall analysis.

Results:

Here in School_District_Analysis project I compared the analysis before and after reading and math scores for the ninth grade at Thomas High School have been replaced with NaNs. The code for before replacing is PyCitySchools

And after replacing is PyCitySchools_Challenge

The csv data used here is schools_complete.csv & students_complete.csv

  • How is the district summary affected? District summary data didn't affected much as it only change by average math score by 0.1, passing math percentage by 0.2%, passing reading percentage by 0.1% , overall passing percentage by 0.3% and Average Reading Score didn't change . This is expected as the number of student in 9th grade from Thomas High School is low compared to total student in the district. district-summary-old district-summary-new
  • How is the school summary affected? After caculation the new school summary math , reading score and math, reading and overall percentage changes slightly. school_summary school_summary_new
  • How does replacing the ninth graders math and reading scores affect Thomas High Schools performance relative to the other schools? Replacing ninth graders data slightly changes math and reading scores for Thomas High Schools performance relative to the other schools.
  • How does replacing the ninth-grade scores affect the following:
    1. Math and reading scores by grade Math scores in Thomas Hig School was unaffected. math-old math-new reading-old reading-new
    2. Scores by school spending was slightly changes in $630-644 range data. spending-old spending_new
    3. Scores by school size was slightly changes in medium size(1000-2000) school data. size_old size_new
    4. Scores by school type was slightly changes in charter type school data. type_old type_new

Summary:

Changes in the updated school district analysis after reading and math scores for the ninth grade at Thomas High School have been replaced with NaNs are as follows:

  1. Scores by school size was slightly changes in medium size(1000-2000) school data.
  2. Scores by school spending was slightly changes in $630-644 range data.
  3. Scores by school type was slightly changes in charter type school data.
  4. School Summary data and District Summary data was changed slightly for the math & reading score and percentages.

Conclusion

The School_District_Analysis data after replacing reading and math scores changes only slightly in the district data and school summary data as the number of student in 9th grade in Thomas High School (461) is few compared to total student (39170).

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Here in School_District_Analysis project I compared the analysis before and after reading and math scores for the ninth grade at Thomas High School have been replaced with NaNs.

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