Final answer:
Data visualization is the representation of quantitative or qualitative data using visual tools like graphs and charts, making it easier to understand. Pie charts are appropriate for expressing parts of a whole, while bar graphs are good for comparing different categories. Other graphs, such as histograms and scatter plots, are used for showing distributions and relationships. Data visualization is best defined as the use of visual tools to present quantitative or qualitative data in a way that's easy to understand.
Step-by-step explanation:
There are various types of graphs that can be used to display different forms of data. Detailed understanding of graphs can be obtained from the area of study known as descriptive statistics.
There are two main kinds of data: quantitative, which involves counts or measures of something, and qualitative, which relates to information that can't be measured. Making use of visual representations like pie charts, bar graphs, histograms, and scatter plots can vastly improve the interpretation and communication of data.
The type of graph selected can dramatically affect the perception of the data shown. Pie charts are excellent when showing parts of a whole, while bar graphs are useful for comparing quantities across different categories. Other graph types, such as histograms or scatter plots, are more suitable for showing distributions or relationships between variables.