mid term-presentation
TRANSCRIPT
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