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Below is a list of the most common customer questions. If you can’t find an answer to your question, please don’t hesitate to reach out to us.
The proper form for a graph title is “y-axis variable vs. x-axis variable.” For example, if you were comparing the amount of fertilizer to how much a plant grew, the amount of fertilizer would be the independent, or x-axis variable and the growth would be the dependent, or y-axis variable.
Always label what variable is plotted along each axis. These labels should also make clear what units are being used for the variables being plotted. Put a title above the graph or make a descriptive caption for it (beneath the figure).
right-click on your data point. Select “Format Data Labels” (note you may have to add data labels first) put a check mark in “Values from Cells” click on “select range” and select your range of labels you want on the points.
A scatter plot is used to represent a correlation between two variables. There are two types of correlations: positive and negative. Variables that are positively correlated move in the same direction, while variables that are negatively correlated move in opposite directions.
Choose your independent and dependent variables. Scatter plots will have 2 variables that are used as the 2 axes. Draw an x-axis for the independent variable. Add a y-axis for the dependent variable. Mark each data point on your scatter plot. Label your graph and your axes.
Change main title and axis labels. Title colors. The font style for the text of the titles. Change the font size. Use the title() function. Customize the titles using par() function.
title('Line Plot of Sine and Cosine Between -2\\pi and 2\\pi') label('-2\\pi < x < 2\\pi') label('Sine and Cosine Values') legend({'y = sin(x)','y = cos(x)'},'Location','southwest') k = sin(pi/2). Title(['sin(\\pi/2) = num2str(k)])
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