EDUCATIONAL DATA MINING IN REFRENCE TO EDUCATIONAL

STATISTICS OF NEPAL

MID TERM PRESENTATION

Presenters

Roshan Bhandari

Sijan Bhandari

Sujit Maharjan

Data Extraction

EDI Analyzer

Data Source

API Call Interface

Relationship Mining

Clustering

Visualization

Classification

Forecasting

DB

API Cache

Data Extractio

n

Data Source

API Call Interface Visualization

DB

Data Extraction

Data Source

# Excel Formats with many sheets

# Unformatted

# Incomplete

# Data Missing

EXTRACTION PROCESS

# Validate data# Cleaning# Fill missing Value# Load Database

API CALL INTERFACE

API Call Interface

CSV Format

JSON Format

XML Format

API call format

http://abc.com/parameterName/api/api_type/year/year_value/district/district_name/factor_name/

Parameter Name “Schooled”

“Enrollment”

“Physical”

“Teacher”

api_type Csv

json

Xml

Year Numerical value in yy format

District “Nepal “ to get the representative of whole country

“Kaski”, “Gorkha”, etc

Factor_Name Various factors such as “totalschoolbylevel”, “totalSchoolByGrade” etc

DATA VISUALIZATION

MAPPING# Geo Spatial Data

# KML, Shape

#Geojson

# Openstreet Map

# Leaflet

Works Remaining

EDI Analyzer

Relationship Mining

Clustering

Visualization

Classification

Forecasting

DB

API Cache

Tools Used