When designing your chart, try to keep all text horizontal (nobody wants to have to tilt their head to read). Try to avoid "pretty" fonts it's best to use something sans serif like Ariel or Calibri. Text: It's also important to ensure that any text on your chart is easy to read, which is affected by both the size of the text and the choice of font. You may also want to test how your chart looks in black and white, either by printing it out or using your chart creation tool to transform the colors to grayscale. You can also check your finished product against a color blindness simulator. The websites ColorBrewer, Contrast-A, and Viz Palette are great tools for identifying colors that work well together and also work for color-blind audiences. As much as you may want to use green to mean something positive and red to mean something negative, you should pick a different pair of colors instead. The most common is red-green color-blindness, which means that red and green look very similar. There are several different types of color-blindness, which can affect how well your audience reads your chart. Notice that the x-axis, income, is on a logarithmic scale: each increasing tick mark is twice as much as the tick mark before.Ībove chart " GNI and Life Expectancy log scale" created by Wikipedia user Ljstalpers under CC-BY-SA 4.0.Ĭolor: One important consideration for accessibility is the use of color. In this case, it may make sense to draw the scatter plot axes on a logarithmic scale instead of a linear scale.īelow is a scatter plot that compares Gross National Income per capita to life expectancy. (Negative in this sense simply means that the correlation is inverse: when one variable increases, the other decreases.)Ĭonsider the scale: Sometimes, your data will demonstrate exponential increases or decreases in value. This can be useful whether the trend is positive or negative. Unless you have a very good reason to add color, it is probably best to keep a scatter plot grayscale.Ĭonsider a trend line: If the scatter plot shows a linear correlation between the two variables, it can be helpful to include the trend line that summarizes the correlation. You'll want to make sure that these points are big enough to see, but not so big they obscure each other. Strive for clarity: Each point on a scatter plot represents one data point. Diversity, Equity, Inclusion, & Accessibility.
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