Data
When we think of innovation and technological advancements we need first think of data. Data is and will always be the treasured raw material in the development of any content, idea or technology. Without data, there are no new trending things in the world or any current issues in the world. This shows that data is a very essential tool in our current world. In this paper, we seek to understand how data is manipulated and developed to be more useful in solving the issues developing in the world. To develop the data into an important tool, data visualization must be involved. Data visualization is defined as the process of representing data graphically either statistically, plots or information graphics.
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The visual is a figure showing the social status of people in various countries the living standards that people measure up. Its defines the lifestyle of people in various countries how well they are doing in terms of the citizen’s welfare. In the Organization for Economic Co-operation and Development, the countries are focused on various goals that lead and spearhead their activities in the service of their citizens. the OECD Better Life Index is the manual that the member states of the organization look at and aim at attaining it (Kirk, 2016). The purpose of the OECD Better Life Index is mainly to measure the wellbeing of the people in the countries involved. The organization identified various factors that seemed to be very essential for everyone to enjoy.
The data keyed in the visual is mainly: the number of people that can afford better house condition as a basic need. The income of people working, how many people are employed, the affordability of education, the health standards of the people in the country. The visual index only shows the eleven fundamental elements that measure the wellbeing of the citizens of the country (Kirk, 2016). The visual index has received critics since it doesn’t offer parameters such as inequalities in the countries, there Are no parameters of the dependency ratios in the country’s population. By creating more visible writing and providing a graph of the rating of the parameters of each country would reduce any erroneous visuals.
References
Kirk, A. (2016). Data visualisation: A handbook for data-driven design. Sage.