ISSS608 2016-17 T1 Assign3 Nguyen Tien Duong

ISSS608 2016-17 Assignment 3

Nguyen Tien Duong

This is the story about the park whose name is "DinoFun World"

THE LUNCH CALL

01:00 PM "Hallo, detective office here"
01:00 PM "Hi, We are calling from Dinno world, we are chaotic now... need your help urgently please......" - a worrying voice
01:01 PM "Sir, please stay calm. We understand your situation, let us know the case"
01:01 PM "Please help us, we are closing down now, a VIP person maybe in danger."
...
01:14 PM "A team has been dispatched to your place. We will prey the criminal down."

A team from PREY detective office was sent to Dinno park to interview, collect data and prey the criminal.

THE PARK

++++++++Place holder, dummy content********* The Visual Analytics Science and Technology (VAST) Challenge is an annual contest with the goal of advancing the field of visual analytics through competition. The VAST Challenge is designed to help researchers understand how their software would be used in a novel analytic task and determine if their data transformations, visualizations, and interactions would be beneficial for particular analytic tasks. VAST Challenge problems provide researchers with realistic tasks and data sets for evaluating their software, as well as an opportunity to advance the field by solving more complex problems. Researchers and software providers have repeatedly used the data sets from throughout the life of the VAST Challenge as benchmarks to demonstrate and test the capabilities of their systems. The ground truth embedded in the data sets has helped researchers evaluate and strengthen the utility of their visualizations.

THE ENVIDENCE

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BACKSTAGE TECHNICAL

This BACKSTAGE TECHNICAL information provides insigh of evedence investigation process. Since the collection are encoded in data, the detective team needs to execute proper data analysis technique from overview, filtering, brushing and zoom in detail to gain the insight juice of the collected data.

Data Exploratory: Diving in dataset, regconize problems and resolutionalize to target issues before process any slicing process Data Preparation: Critical process to make data usable. Slice data by difference ways, aggregate and stage data in appropriate storage for investigation Trials: POC process to try on different technologies, different approaches and techniques to visualize datasets that may be challenging to understand. This process involves plenty of trials and errors. Hackaton: Code implementation to build up visualization and create meaningful information from provided data. This task includes plenty of codes and application usage

COMMUNICATION AT A GLANCE

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