Public and private institutions are nowadays heavily mediated by informational data. Investing time
in learning data visualization techniques is worthwhile, as data visualization is becoming one of
the most sought fields in data science overall. Data visualization is a powerful tool that enable
citizens to make sense of complex information, aiding them in the process of decision making that
governs their daily life. Moreover, excellent data visualization skills are high in demand across
data and statistics domains. Data is beautiful and invaluable when presented the right way. We
believe the visualization of data is a visual language; various stakeholders should learn and use
this language, especially decision-makers. Visualizing the data is about telling the story behind
numbers using graphics that provide a clear understanding of complex relationships within the data.
Data visualization and interactive visual analytics bring advantages by increasing the amount of
information delivered and decreasing the cognitive and intellectual burden to interpret information
for decision-making, making individuals more resilient and independent. However, the absence of
targeted data visualization interventions for national development leaders to inform their
decision-making process contributes to delaying progress, perpetuating ineffective policies, and
impeding the overall development of the nation.
Overall, the use of data visualization tools and technologies is increasingly seen essential for
enabling data-driven decision-making, as it can help leaders to gain a deeper understanding of their
data, identify new opportunities, and make more informed decisions. However, it is important to
recognize that the effectiveness of these tools depends on an adequate level of data literacy and, a
proper understanding of data visualization influential factors, and the use of appropriate
visualization techniques.