Comparative experiments usually have a sample group experiment and control group. Comparative experimental analysis requires control group understanding.

Having understood the history of data visualizations, we are now interested in discussing simple line graphs and the complex information they can display.

As seen from the Global South, development is more than just a rise in GDP; it also includes improvements in infrastructure, education, health care, the environment, and political stability. 

Think back to March 2020, when COVID-19 became our problem, threatening our lives, livelihoods, and society.

In the last decade, the use of technology in monitoring, evaluation, and learning has become commonplace to support systematic inquiry into interventions.

High-quality data is the most integral part of the world's policy-making process.

Evidence-based policymaking requires robust databases that help policymakers approach welfare empirically and logically.

One of the key questions, which comprises the soul of impact evaluation, is the attribution question to ascertain a specific intervention's treatment effect.

A key feature of any data collection exercise is to create a medium for quality data to be collected and processed for insightful and impactful decision-making.