What kind of display would be the best way to represent the data below?

\begin{tabular}{|l|c|c|}
\hline Type of species & Critically endangered (\%) & Endangered or vulnerable (\%) \\
\hline Plants & 13 & 70 \\
\hline Invertebrates & 0 & 35 \\
\hline Freshwater fish & 9 & 37 \\
\hline Amphibians & 7 & 30 \\
\hline Reptiles & 5 & 28 \\
\hline Birds & 0 & 12 \\
\hline Mammals & 2 & 21 \\
\hline
\end{tabular}

A. Bar graph
B. Pie chart
C. Line graph
D. Scatter plot



Answer :

To determine the most suitable method for displaying the given data, let's analyze the options and the nature of the data:

1. Bar Graph:
- Bar graphs are excellent for comparing different categories.
- They allow you to display discrete data clearly, showing differences in percentages for different species.
- In this case, it would show the percentage of critically endangered species and the percentage of endangered or vulnerable species for each type of species in a straightforward and easily comparable manner.

2. Pie Chart:
- Pie charts are useful when you want to show proportions of a whole.
- They are not particularly effective for comparing multiple categories across multiple criteria.
- Given there are multiple categories (type of species) and two different metrics (percentages of critically endangered and endangered/vulnerable), pie charts would not efficiently display this information.

3. Line Graph:
- Line graphs are typically used to show trends over a period.
- They are not well-suited for comparing static categorical data like the one provided.

4. Scatter Plot:
- Scatter plots are useful for showing the relationship between two continuous variables.
- The data given is not designed to be displayed on a scatter plot as it does not focus on relationships between continuous data points.

Considering the given data and the needs for comparison and clarity, the best way to represent the percentage data of critically endangered and endangered or vulnerable species for different types of species would be a bar graph. This representation would allow clear visual comparisons between the various categories and their respective percentages.

In conclusion, the best display for the given data is a bar graph.

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