Introduction

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.