Common Mistakes to Avoid in Data Visualization
Too Much Information: Putting too many data points in one chart can make things messy. Try to keep it simple—use no more than 6 or 7 data series in a single chart.
Wrong Chart Types: Using complicated charts for simple information can be confusing. For example, pie charts don't work well if you have more than 5 categories. Instead, use bar charts.
Not Thinking About Colors: About 8% of men and 0.5% of women are colorblind. Use color palettes like Color Universal Design (CUD) to make sure everyone can understand your colors.
Ignoring Scale: If the y-axis isn’t set up correctly, it can trick people into seeing data differently. Always start the y-axis at zero, unless you make it very clear that you're not, to keep things accurate.
Missing Context: If you forget to add titles, labels, or legends, people may misunderstand your data. Make sure to give enough context so your audience can understand the information clearly.
Common Mistakes to Avoid in Data Visualization
Too Much Information: Putting too many data points in one chart can make things messy. Try to keep it simple—use no more than 6 or 7 data series in a single chart.
Wrong Chart Types: Using complicated charts for simple information can be confusing. For example, pie charts don't work well if you have more than 5 categories. Instead, use bar charts.
Not Thinking About Colors: About 8% of men and 0.5% of women are colorblind. Use color palettes like Color Universal Design (CUD) to make sure everyone can understand your colors.
Ignoring Scale: If the y-axis isn’t set up correctly, it can trick people into seeing data differently. Always start the y-axis at zero, unless you make it very clear that you're not, to keep things accurate.
Missing Context: If you forget to add titles, labels, or legends, people may misunderstand your data. Make sure to give enough context so your audience can understand the information clearly.