https://github.com/sayakpaul/analysis-of-college-database-of-2017-passouts

Contains my analysis of a database containing information about the students of an engineering college.
https://github.com/sayakpaul/analysis-of-college-database-of-2017-passouts

data-analysis data-visualization matplotlib python-3

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Contains my analysis of a database containing information about the students of an engineering college.

• Host: GitHub
• URL: https://github.com/sayakpaul/analysis-of-college-database-of-2017-passouts
• Owner: sayakpaul
• Created: 2019-01-28T07:50:34.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2019-02-07T16:53:58.000Z (almost 6 years ago)
• Last Synced: 2024-12-15T12:07:34.354Z (13 days ago)
• Topics: data-analysis, data-visualization, matplotlib, python-3
• Language: Jupyter Notebook
• Homepage:
• Size: 3.52 MB
• Stars: 4
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
This repo contains my analysis of a dataset containing information about the students of an engineering college.

The dataset consists of the following columns:

 * 'SL.NO.',

 * 'STUDENT'S COLLEGE ID',

 * 'DEPARTMENT (ABBR.)',

 * 'GENDER (M/F)',

 * 'AGE (IN YRS.)',

 * 'NAME OF EXAMINATION - CLASS X',

 * 'NAME OF BOARD - CLASS X',

 * 'NAME OF SCHOOL(IN FULL)-CLASS X',

 * 'SUBJECT COMINATION (DO NOT USE ABBR.)-CLASS X',

 * 'MEDIUM OF INSTRUCTION-CLASS X',

 * 'Y.O.P - CLASS X',

 * 'STANDARD % OF CLASS X',

 * 'ACTUAL % OF CLASS X',

 * 'TOTAL MARKS OBTAINED IN ALL THE SUBJECTS IN CLASS X',

 * 'TOTAL MARKS OF EXAM APPEARED IN CLASS X',

 * 'NAME OF EXAMINATION - CLASS XII',

 * 'NAME OF BOARD/COUNCIL - CLASS XII',

 * 'NAME OF SCHOOL(IN FULL) - CLASS XII',

 * 'SUBJECT COMINATION (DO NOT USE ABBR.) - CLASS XII',

 * 'MEDIUM OF INSTRUCTION - CLASS XII',

 * 'Y.O.P - CLASS XII',

 * 'STANDARD % OF CLASS XII',

 * 'ACTUAL % OF CLASS XII',

 * 'TOTAL MARKS OBTAINED IN ALL THE SUBJECTS IN CLASS XII',

 * 'TOTAL MARKS OF EXAM APPEARED IN CLASS XII',

 * 'DIPLOMA STREAM',

 * 'DIPLOMA UNIVERSITY/BOARD/COUNCIL (IN FULL)',

 * 'NAME OF INSTITUTE (IN FULL) - DIPLOMA',

 * 'MEDIUM OF INSTRUCTION- DIPLOMA',

 * 'Y.O.P - DIPLOMA',

 * 'DIPLOMA AGGREGATE MARKS % ',

 * 'NAME OF JOINT ENTRANCE (WBJEE/JEE-MAINS/JELET ETC.)',

 * 'ENTRANCE RANK(OVERALL ALL INDIA RANK)',

 * 'ENTRANCE RANK(STATE RANK)',

 * 'YEAR OF JOINT ENTRANCE EXAM',

 * 'CURRENT COURSE',

 * 'CURRENT STREAM',

 * 'YEAR OF ENTRY',

 * 'YEAR OF PASSING',

 * 'MEDIUM OF INSTRUCTION',

 * 'SEM 1',

 * 'SEM 2',

 * 'SEM 3',

 * 'SEM 4',

 * 'SEM 5',

 * 'SEM AVG',

 * 'ANY BACKLOG(S) IN CURRENT COURSE(YES/NO)',

 * 'IF YES, MENTION NUMBER OF BACKLOG(S)',

 * 'OVERALL YEAR GAP(S) IN ACADEMIC CAREER (YES/NO)',

 * 'IF YES, MENTION THE DURATION(S) (YYYY-YYYY)',

 * 'TOTAL GAP IN YEAR(S)',

 * 'CORE TECHNICAL STRENGTH',

 * 'COMPUTER LANGUAGES KNOWN',

 * 'PROJECT TITLE- INDUSTRIAL TRAINING/ V.T./ INTERNSHIP',

 * 'NAME OF THE ORGANIZATION',

 * 'DURATION (FROM DD/MM/YYYY TO DD/MM/YYYY)',

 * 'ANY SEMINARS/WORKSHOPS ATTENDED',

 * 'WORK EXPERIENCE, IF ANY (MONTHS / YEARS AS APPLICABLE)',

 * 'NAME OF THE ORGANIZATION SERVED - WORK EXPERIENCE',

 * 'ACHIEVEMENTS (ACADEMIC) ',

 * 'ACHIEVEMENTS (NON ACADEMIC) ',

 * 'CERTIFICATIONS (ACADEMIC)',

 * 'CERTIFICATIONS (NON ACADEMIC)',

 * 'PERMANENT LOCATION (STATE)'

 

 I think the column names are quite self-explanatory so I am skipping the broad data dictionary part. 

 

Throughout this analysis, I ask several questions to the dataset itself and eventually find out their answers. Sometimes, the answers were pretty straight-forward but sometimes they were not - the dataset itself needed data cleaning which made it more fun. 

 

 The sample questions are - 

 * What is the student count per department?

 * What is the highest semester grade obtained by a student from a particular department?

 and so on...