Hi,
When I'm making a graph, how do I know what scale to use? I often struggle with this. Does the origin always have to start at 0? But then I don't know what intervals to use. Is there a rule of thumb? I'm referring to things like scatter plots and charts.
Thank you.
When determining the scale for a graph, there are several factors to consider. While there is no hard and fast rule, here are a few guidelines that can help you choose an appropriate scale for your graph:
1. Consider the range of values: Think about the minimum and maximum values of the data you want to display on your graph. This will help you determine the overall span of your graph. For example, if your data ranges from 0 to 100, you might want to choose a scale that starts at 0 and ends at 120 to allow for some extra space at the top.
2. Think about the intervals: Intervals represent the distance between the labeled points on the axes. How you choose the intervals depends on the nature of your data. If your data points are evenly distributed, you can use regular intervals (e.g., 10, 20, 30, etc.). However, if your data is more spread out, you might need to use larger intervals (e.g., 10, 30, 50) to avoid cluttering the graph.
3. Consider the purpose of the graph: The purpose of the graph can help inform your scale choice. Are you trying to emphasize small differences in the data, or are you looking for larger trends and patterns? If you want to highlight small changes, you might choose a smaller scale with narrower intervals. Conversely, if you want to show broader trends, you might choose a larger scale with wider intervals.
4. Keep the origin in mind: While the origin (0,0) doesn't always have to start at 0, it's generally a good practice to include it unless there is a specific reason not to. However, if one of your axes starts at a non-zero value, make sure to clearly label it to avoid misinterpretation.
Remember, the choice of scale ultimately depends on what you want to convey with your graph. Experiment with different scales and intervals, and consider how well they represent your data, highlight patterns, and communicate your message effectively. Don't be afraid to adjust and refine your choice until you find a scale that suits your needs.