Final answer:
To best visualize social media spend and cost-per-click with different scales, use a clustered column chart for social media spend, and consider a line graph or a secondary axis for cost-per-click data. A Pareto chart can also be effective for sorting data from largest to smallest for quick interpretation.
Step-by-step explanation:
When visualizing related data sets with different scales, such as social media spend and cost-per-click, it's important to choose the right types of charts. For social media spend, a clustered column chart is a good choice because it allows you to compare different categories or changes over time. Each bar's length represents the spend amount, which can span various time frames or categories.
For cost-per-click, which may have a different scale, another type of chart such as a line graph or a secondary axis in the same clustered column chart can be used for direct comparison while maintaining scale accuracy. If the goal is to identify the most significant factors at a glance, a Pareto chart could be helpful as it sorts the bars from largest to smallest, making it easier to read and interpret. Additionally, presenting multiple charts side by side or using combined charts with dual axes can allow viewers to understand the relationship between the two data sets while respecting their unique scales.
Ultimately, the choice of chart depends on the data's context and the intended use. It should take into account how data is grouped, the size of axes, and whether the scale starts at zero to ensure an accurate representation. Comparing various graph types may reveal which is the most effective at communicating the desired information clearly and truthfully.