Final answer:
The best chart selection is based on the data type, the variables involved, the intended message, and the chart's effectiveness at communicating that message. Recognizing the purpose of the visualization is key, whether it's to show proportions, compare categories, or display change over time. Tools like spreadsheets and calculators streamline the creation process.
Step-by-step explanation:
The criteria for determining the best chart selection involve understanding the nature of the data and the purpose of the visualization. When selecting a chart, you should consider the type of data (categorical, numerical, or time-series), the number of variables, as well as the message or insight you wish to convey to your audience.
For example, pie charts are suitable for showing the composition and proportions within a whole, such as the percentage of students in different categories. Bar graphs are effective for comparing values across categories or showing changes over time. In cases where the data involves a ranking or size order, using a Pareto chart can highlight the most significant categories by displaying bars sorted by category size.
Computer spreadsheets and statistical software greatly simplify the process of chart selection and creation, especially when dealing with complex or large datasets. For instance, creating scatter plots and finding the line of best fit can be easily accomplished with tools like the TI-83 or TI-84+ calculators, as tedious calculations are best avoided when done manually.
Regardless of the graph chosen, it's crucial to be cautious and critical of how the data is presented, as various factors like the scale, axes sizes, and data division can influence the interpretation of the data shown in the graph.