Minor Project Presentation of Bachelor's in Computer Engineering 3rd year at IOE, Pulchowk Campus.

1. Santosh Ghimire – 066 BCT 533
Subit Raj Pokharel – 066 BCT 538
Sudip Kafle – 066 BCT 539
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2. Data
Visualization
Extraction
Processing
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3. System Block Diagram
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4. 4

5. 1. Election Data 1. District 1. Data for District
2. GIS Data for Population Level Indicators
Coordinate of Based on
districts Ethnicity
Different Set of Data available in
Different file Formats
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6. Extraction
Database
Parser extracts data from file and saves to database
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7. Parsing
 XML file has Tree-node structure
› Required data present in between opening and
closing tags
 PDF has no standard format for storing data
› The file first converted to simple text
 HTML has DOM structure.
› Data may not be structurally represented unlike
XML.
 Data extracted using Regular expressions : PDF and
HTML
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8. Data Management
 Admin needs to login for Data
Management
 Can Add, Update and Delete Data by
searching based on various criteria
 Only admin can register new admin
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10. Population in Nepal
District Population
Achham 228990
Arghakhanchi202462
Baglung 268240
Baitadi 234002
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11. Visualization on Map
 Used Google Map API
 JavaScript used at Client side
 jQuery and JSON used to implement AJAX
Web Server
Server Acknowledge
User sets new request and sends
criteria for Map map data in JSON
format
Map shown on
Web Page New Map
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12. Visualization with Tag Cloud
 Shows overview of scattering of data.
 One dimension represented by Text
displayed (e.g. Name of district)
 Other dimension by weight(Font size and
Color) of Text
› Implemented using CSS.
 Weight of Tags statistically calculated
based on population.
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14. State No. 7 State No. 2 State No. 1
State No. 8
State No. 6 State No. 3
State No. 5 State No. 4
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15. Analyzing Feasibility of Federal States
 Districts can be selected to form new state.
 Aggregate data for each state obtained
from database.
› Data can be
 Top Caste, Top Parties in election, development
index
 Coefficient of Variation used to see if it is
feasible
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16. Facts Finder
 Informative facts extracted from raw data
in Database
 User allowed to choose from multiple
criteria
 Nested SQL queries used
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17. Methodology
 Programming Languages
› C# with ASP .Net, JavaScript, jQuery
 MS-SQLServer 2008 as Database Engine
 Web Technologies
› JSON, AJAX
 Google Map API
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18. Project Management
 Each phase divided into small chunks.
› Assigned to team members.
 OnlineRepository created on
BitBucket.org
› Using Mercurial based TortoiseHg
› Works synchronized among each member
 Weekly discussion with Senior Developer
at YIPL Nepal.
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