How data visualisation supports accountability
Launch library · evergreen read
Data visualisation turns raw government data, spending figures, contract values, response times, into charts and maps that a non-specialist can actually understand at a glance, rather than a dense spreadsheet that few people beyond a trained analyst would ever have the patience or expertise to properly interpret on their own.
Well designed visualisations can reveal patterns instantly that would otherwise take considerable time to uncover, such as spending that spikes unusually just before an election, or a particular region receiving noticeably less infrastructure investment than comparable areas elsewhere despite similar underlying need across the broader community.
Visualisation also carries a risk of misleading if poorly designed, since a chart can be built, deliberately or not, to exaggerate or obscure a particular pattern. Genuinely accountable use of visualisation requires the underlying raw data to remain available alongside the chart, so any interpretation offered can still be independently checked, even if the immediate benefit looks appealing in isolation.