Data Extraction, Visualization and Processing

Minor Project Presentation

Santosh Ghimire – 066 BCT 533Subit Raj Pokharel – 066 BCT 538Sudip Kafle – 066 BCT 539

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Data Extraction

Visualization

Processing

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System Block Diagram

Data Extraction

Different Set of Data available in Different file Formats

1. District Population Based on Ethnicity

1. Election Data2. GIS Data for

Coordinate of districts

1. Data for District Level Indicators

Database

Extraction

Parser extracts data from file and saves to database

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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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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

Data Visualization

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Population in NepalDistrict Population

Achham 228990Arghakhanchi202462Baglung 268240Baitadi 234002

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Visualization on Map

Used Google Map API JavaScript used at Client side jQuery and JSON used to implement AJAX

Map shown on Web Page

Web Server

User sets new criteria for Map

Server Acknowledge request and sends map data in JSON format

New Map

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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.

Data Processing

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State No. 1State No. 2

State No. 3State No. 5 State No. 4

State No. 6

State No. 7State No. 8

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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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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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Methodology

Programming Languages› C# with ASP .Net, JavaScript, jQuery

MS-SQL Server 2008 as Database Engine

Web Technologies› JSON, AJAX

Google Map API

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Project Management

Each phase divided into small chunks.› Assigned to team members.

Online Repository created on BitBucket.org› Using Mercurial based TortoiseHg› Works synchronized among each member

Weekly discussion with Senior Developer at YIPL Nepal.