IS428 AY2019-20T1 Assign Sean Chai Shong Hee Q5

From Visual Analytics for Business Intelligence
Revision as of 19:41, 13 October 2019 by Sean.chai.2017 (talk | contribs) (Created page with "<div style="background: #778899 ; letter-spacing:-0.08em;font-size:20px"><font color=#778899 face="Times New Roman"><b>Mini Case Challenge 2: Visualising Radiation Measurement...")
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search
Mini Case Challenge 2: Visualising Radiation Measurements in St. Himark

Problem And Motivation

 

Data Preparation

 

Interactive Visualisation

 

Interesting Anomalies & Observations

 

This section will answer questions for Mini Case 2

Question 5

Data Analysis

For Mini Case 2, I analysed the data mainly as a static collection.

Analysing data as a static collection was particularly useful in this case as it was easier to gather insights based on patterns and trends. With a dynamic stream of data, data is continuous being added to your visualisation, which makes it difficult to determine relationships and patterns.

I was able to see with certainty how radiation values varied over the 4 days, and most observations made required looking at how one factor affected another.

Using a dynamic stream of data was useful when I wanted to determine the path of travel of contaminated cars over time. I could visualise by changing the time slider the exact path of the contaminated car.

Ultimately, analysing data as a static collection allowed me to have a clearer picture of gaps in data (such as visualising the many missing values in the data for mobile sensors). I was able to relate outcomes of radiation leakage to their causes when analysing the data as a static collection.