To classify animals that move in more than one way, I would use categories such as "Locomotion Type," which would include subcategories like "Swimming," "Walking," "Flying," and "Gliding." Another category could be "Body Structure," differentiating between animals like fish, mammals, and birds that exhibit multiple movement methods. Additionally, I might include "Habitat," categorizing animals based on whether they primarily inhabit terrestrial, aquatic, or aerial environments. This approach would highlight the diverse adaptations in movement across different species.
A pie graph. But if you have more than around seven main categories, a pie graph starts to get a bit too busy. Also, unless the logic of categories dictates otherwise, order them by size.
The independent variable on a bar graph is the variable that is manipulated or categorized to observe its effect on the dependent variable. It is typically represented on the x-axis (horizontal axis) of the graph. For example, in a bar graph showing the sales of different products, the product categories would be the independent variable.
The best type of graph to show quantities often depends on the nature of the data. For comparing discrete categories, a bar graph is effective, while a line graph is ideal for displaying trends over time. If you want to illustrate parts of a whole, a pie chart can be useful. Ultimately, the choice should focus on clarity and the message you want to convey.
a line graph would do the best or you could do the bar graph but it would be a bit longer to do
We would have to see the graph.
that would be the Animalia
A pie graph. But if you have more than around seven main categories, a pie graph starts to get a bit too busy. Also, unless the logic of categories dictates otherwise, order them by size.
Quite possibly because there are seven categories.
The best graph for the purpose of comparing raw numbers between different qualitative categories would be a bar graph or some variation thereof.
I would suggest a bar graph. Depending on the topic and how you want to show it you could also use a pie chart.
The independent variable on a bar graph is the variable that is manipulated or categorized to observe its effect on the dependent variable. It is typically represented on the x-axis (horizontal axis) of the graph. For example, in a bar graph showing the sales of different products, the product categories would be the independent variable.
The categories make it sound like it is by country, the one unifying factor that would make the graph make sense. And that is how I'd present the info.
A bar graph would be best to show a change in data that is not continuous, as it allows for discrete categories to be visually compared easily. The gaps between bars help to emphasize that the data points are distinct and not continuous.
Yes! Most people select categories and their sub categories that are of particular interest to them, to answer questions. For example if they like animals, they would select questions from the animal life category.
The type of graph you would use would be a PICTURE GRAPH or a TALLY CHART
better graph would be a line graph
The best type of graph to show quantities often depends on the nature of the data. For comparing discrete categories, a bar graph is effective, while a line graph is ideal for displaying trends over time. If you want to illustrate parts of a whole, a pie chart can be useful. Ultimately, the choice should focus on clarity and the message you want to convey.