Final answer:
Data visualization is the graphical presentation of data to simplify complex information and reveal new patterns. Economists and statisticians use various chart types to display data such as population patterns, making it easier to interpret. Descriptive statistics often involve graphically plotting data for better analysis.
Step-by-step explanation:
​Data visualization is the presentation of data in a graphical format to make it easier for decision-makers to grasp difficult concepts or identify new patterns in the data. This process allows us to condense detailed numerical information into a visual form where relationships and numerical patterns can be seen more easily. Utilizing various types of graphs and charts, such as pie charts, bar graphs, histograms, and scatter plots, data visualization can effectively reveal trends and patterns that might not be visible through textual data alone.
For example, when considering population patterns across different countries, a long list of numbers is far less intuitive than a well-designed graph. Economists and statisticians often employ these visual tools for a more compact and readable presentation of data, helping to build an intuitive understanding of complex information. Moreover, in educational settings like descriptive statistics, students are encouraged to plot data graphically to better describe, analyze, and interpret the data they are working with.