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Descriptive axis labels and legends

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Q: What is the best way to make sure graphs sure graphs are easy to interpret?

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descriptive axis labels and legends

They help you by stating or writting down things on a graph

Some people find it easier to interpret information when it is presented in graphical form. Sometimes, they only want the highlights and are not overly interested in the details. It is usually easier to identify the largest slice of a pie chart or the tallest bar in a bar chart than from a table of data. In some cases it can be easy to make a good guess at a line of best fit for a scatter plot than do that from a table of figures - particularly if the data are not ordered according to one of the variables.

Scientists create graphs to visually represent data and to better understand patterns and relationships within the data. Graphs allow scientists to analyze and interpret information more easily, identify trends, and communicate their findings to a wider audience. Graphs also help scientists make predictions and draw conclusions based on the data they have collected.

Linear graphs make straight lines. Non-linear graphs make thins like parabolas, hyperbolas, and ellipses.

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The best way to make graphs that are easy to interpret is using a suitable scale.

descriptive axis labels and legends

descriptive axis labels and legends

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descriptive axis labels and legends

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they made it so it would more easy

They help you by stating or writting down things on a graph

a line graph google "graphs" to find easy ways to make computer-generated line graphs

Some people find it easier to interpret information when it is presented in graphical form. Sometimes, they only want the highlights and are not overly interested in the details. It is usually easier to identify the largest slice of a pie chart or the tallest bar in a bar chart than from a table of data. In some cases it can be easy to make a good guess at a line of best fit for a scatter plot than do that from a table of figures - particularly if the data are not ordered according to one of the variables.