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Implementing AI in your Organisation

In this video, Elizabeth explains how organisations can successfully adopt AI and data science by fostering a data-driven culture and strategically implementing AI projects.

Blockchain and Smart Contracts

In the first video of this video series, James explains the concept of blockchain along with its benefits.

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Reading Charts and Dashboards Critically

Reading Charts and Dashboards Critically

Ciaran Rooney

Technology and Cybersecurity Leader

Look beyond the visuals. Learn how charts and dashboards can shape perception, spot misleading design choices, and interpret data with greater accuracy and confidence.

Look beyond the visuals. Learn how charts and dashboards can shape perception, spot misleading design choices, and interpret data with greater accuracy and confidence.

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Reading Charts and Dashboards Critically

2 mins 44 secs

Key learning objectives:

  • Understand how chart design can influence interpretation

  • Recognise common sources of distortion in dashboards and visualisations

  • Identify when data presentation may be misleading despite being technically correct

  • Develop a critical approach to reading charts and dashboards

Overview:

Charts and dashboards can appear precise and objective, but they often shape interpretation through design choices. Elements such as scale, aggregation, averages, and missing context can distort meaning without altering the underlying data. Reading charts critically requires questioning what is shown, how it is presented, and what may be omitted to avoid drawing misleading conclusions.

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Summary
Why can charts and dashboards be misleading?
Charts do not just display data; they frame how it is interpreted. Design choices such as scale, grouping, and presentation can emphasise certain patterns while obscuring others, leading to incomplete or distorted conclusions.

What are the most common ways charts distort meaning?
Common issues include truncated axes that exaggerate changes, aggregation that hides variation, and averages that mask underlying differences. Missing denominators and context-free trends can also lead to incorrect interpretations of scale and causality.

How does presentation affect decision-making?
Well-designed visuals can create a false sense of certainty. Large numbers, clean layouts, and clear trends can appear authoritative, even when key context is missing. This can lead to overconfidence in conclusions.

What does good chart interpretation look like?
It involves questioning both what is shown and what is omitted. Understanding context, checking scale, and looking beyond summary metrics helps ensure that decisions are based on accurate insights rather than presentation alone.

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Ciaran Rooney

Ciaran Rooney

Ciarán is the Chief Technology Officer at xUnlocked. He has over 20 years of experience in technology, cyber security and operations. Ciarán has held the role of CTO of several successful startups including; busuu, Skimlinks, and Swoon. He has also been a technical consultant, a startup mentor, a conference speaker, and the Chair of the PHP UK Conference.

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