IS428 AY2019-20T1 Assign Ng Kai Ling Bernice

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Problem & Motivation

Problem

After major events like earthquakes hits St. Himark, Always Safe nuclear power plant suffers damage resulting in a leak of radioactive contamination. Further, a coolant leak sprayed employees’ cars and contaminated them at varying levels. Therefore, the need to help St. Himark’s emergency management team combine data from the government-operated stationary monitors with data from citizen-operated mobile sensors and data visualizations to help them better understand conditions in the city and identify likely locations that will require further monitoring, cleanup, or even evacuation.

Solution

Below are the list of data visualization developed:

  • Overview: Gives users an overview of how much radiation the town or area has on the particular day.
  • Area of Contamination: Allow users to identify location of concern and car contamination.

Dataset Transformation

Removing Redundant Data

There are 2 types of sensor data. One is from mobile sensors and the other from static sensors. However, in the given data, the "Units" column has "cpm" for all the values as shown below which is not in use.

Mobile Sensors Data

Mobile sensor data - redundant data ng kai ling bernice.png

Static Sensors Data

Static sensor data - redundant data ng kai ling bernice.png

Solution: Hence, by using Tableau Prep Builder, I removed the "Units" column by following the steps shown below.

Steps to remove redundant data ng kai ling bernice.png

Dataset Import Structure & Process

Interactive Visualization

Questions & Observations