Data Analytics and Visualization · Data & Analysis

Data Visualization and Interpretation

Transforming raw datasets into interactive visualizations to communicate findings and trends.

Key Questions

  1. 1How can the choice of a visual representation manipulate the audience's perception of data?
  2. 2What makes a data visualization effective for a non-technical user?
  3. 3How do we identify outliers and what do they tell us about our data quality?

ACARA Content Descriptions

AC9DT10P01
Year: Year 9
Subject: Technologies
Unit: Data Analytics and Visualization
Period: Data & Analysis

Suggested Methodologies

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