https://github.com/momoko606/xdf-data-analysis

This program enables teachers and hr (in Xi'an New Oriental school) to work more efficiently by data analysis.
https://github.com/momoko606/xdf-data-analysis

Last synced: 27 days ago
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This program enables teachers and hr (in Xi'an New Oriental school) to work more efficiently by data analysis.

• Host: GitHub
• URL: https://github.com/momoko606/xdf-data-analysis
• Owner: MOMOKO606
• License: mit
• Created: 2019-01-03T10:16:47.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2021-04-01T06:26:08.000Z (over 3 years ago)
• Last Synced: 2023-10-06T20:25:13.022Z (about 1 year ago)
• Language: Python
• Homepage:
• Size: 36.9 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Xi'an XDF data analysis program

This is a small project I made for the Foreign Examination Department of Xi'an New Oriental school.

The purpose is to enable teachers and hr to work more efficiently by data analysis. To be more specific, 

- We want to find the teachers who had too many and too few classes last year, then adjust the assignment of classes next year. 

  - We want to make sure the teachers with too many classes won't be too tired next year. 

  - Meanwhile, we want to find out the reasons that why some teachers had too few classes. Dig the reasons and help them improve, re-activate them.

- After adjusting the teacher’s schedule, calculate how many new teachers need to be recruited to meet the next year’s productivity target.

## Method

**Input:** 

" CLASS_SCHEDULE_FILE" from last year.

**Output:**

Report of teachers' performance 

Report of number of new teachers needed.

**Process:**

Define class as TpTrackers ( Teachers' performance Trackers ) to analyze " CLASS_SCHEDULE_FILE". Using time window and category to collect teachers' performance.