Very quick, basic question about Graphing

  • Thread starter rygza
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    Graphing
In summary, graphing is the process of visually representing numerical data to display relationships between different variables or data points. The most commonly used types of graphs are bar graphs, line graphs, scatter plots, and pie charts. The type of graph chosen depends on the data and relationship being displayed. The key elements of a graph include title, axes, labels, legend, and data points. To make a graph easier to understand, use clear labels, choose appropriate types of graphs, and effectively use colors and symbols. A clear title and consistent axis scale are also important factors.
  • #1
rygza
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so I'm graphing tetrahedron bounded by a given plane and "The coordinate planes"

what is meant by "the coordinate planes"? i can graph the plane but i need help here
 
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  • #2
The xy plane, the xz plane, and the yz plane. (in r3). Like saying "bounded by the x and y axis" in r2.
 
  • #3
ah ok, thank you!
 

1. What is graphing?

Graphing is the process of representing numerical data using a visual tool, such as a graph or chart, to display the relationship between different variables or data points.

2. What are the different types of graphs?

The most commonly used types of graphs are bar graphs, line graphs, scatter plots, and pie charts. Each type is used to display different types of data and relationships.

3. How do I choose the right type of graph for my data?

The type of graph you choose depends on the type of data you have and the relationship you want to display. For example, bar graphs are useful for comparing data between different categories, while line graphs are better for showing trends over time.

4. What are the key elements of a graph?

The key elements of a graph include the title, axes, labels, legend, and data points. These elements help to clearly communicate the data and its relationship.

5. How can I make my graph easier to understand?

To make your graph easier to understand, make sure to use clear and concise labels, choose an appropriate type of graph for your data, and use colors and symbols effectively to differentiate between data points. It's also important to provide a clear and concise title and use a consistent scale on the axes.

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