Scatter Plot — Exploring Relationships & Clusters
Key components of Movement Charts:
Each dot plots one institution’s scores on two axes.
Trends – upward/downward slopes indicating positive/negative correlation.
Clusters – groupings like “high rep/low citations” or “strong mindset in sustainability.”
Outliers – unusual cases worthy of closer investigation.
Values - adjust values to either display Ranking, Percentile, or Score values
Context - toggle on or off to show comparison to all institutions or specific cohort(s).
Methodology & Indicators:
Ideal for showing how metrics like Academic Reputation correlate with others such as Citations/Faculty
Useful for plotting Sustainability sub‑scores against Academic Reputation to reveal institutions balancing research excellence and social impact.
When to Use Scatter Plots?
Studying correlation (e.g. does higher research output lead to stronger employer perception?).
Highlighting clusters: e.g. top-tier research-focused, globally-engaged, or sustainability-oriented universities.
Identifying unique performers, such as smaller institutions with high sustainability but moderate internationalisation.