Create the graph or display that you indicated as the best fit for your Home Library Statistics data in a way that is accurate. Create the graph or display again in a way that is misleading. Describe the difference between the two graphs or displays.
To create the best fit and misleading graphs, let's assume the following data as Home Library Statistics:
| Month | Books Read | Books Acquired |
|-----------|------------|----------------|
| January | 10 | 12 |
| February | 12 | 11 |
| March | 20 | 22 |
| April | 18 | 25 |
| May | 15 | 10 |
| June | 22 | 18 |
Best Fit Graph:
The best fit graph would be a grouped bar chart that represents "Books Read" and "Books Acquired" for each month clearly and at the same scale. Each month would be on the x-axis and the number of books on the y-axis, with two bars side by side for each month, maintaining consistent scale and colors. This graph would provide a clear visual representation of how many books were read compared to how many books were acquired each month, without any misleading elements.
Misleading Graph:
To make a misleading graph, we can manipulate the y-axis scale and use different colors for each month. Here is an example of a misleading representation: Create a bar chart with the months on the x-axis and the number of books on the y-axis. For the "Books Read" bar chart, tweak the y-axis scale to only show numbers between 9 and 24, while for "Books Acquired" use a scale between 5 and 30. Use different shades of the same color or different colors entirely for the "Books Read" and "Books Acquired" bars to make it more challenging to quickly distinguish between the two.
Difference Between the Two Graphs:
The difference between the best fit and misleading graphs lies in the way the data is represented visually. The best fit graph has a clear, consistent scale and color scheme, which makes it easier to accurately interpret the Home Library Statistics. On the other hand, the misleading graph uses different scales and colors to distort the perception of the data, making it challenging for the viewer to understand the actual trends and relationships in the Home Library Statistics.