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Use simplicity in design of the graph A graph with a simple design strives for a clean, uncluttered look. Simplicity in design does not mean simplicity in data however; well-designed graphs can represent rich data. Avoid distortions, shading, perspective, volume, unnecessary colour, decoration or pictograms, and 3D.

Pie Chart A pie chart shows a static number and how categories represent part of a whole ? the composition of something. A pie chart represents numbers in percentages, and the total sum of all segments needs to equal 100%.

Show the data clearly Check the data points plotted can be detected, and are not covered up or obscured. Don't assume the viewer is a mind-reader ... label titles and axes clearly and accurately. Maintain constant measurement scales and avoid distortions.

The answer is now clear, line charts. Most data analysts prefer using a line chart as compared to other types. If you want to plot changes and trends over time, a line chart is your best option. Line charts compare data, reveal differences across categories, show trends while also revealing highs and lows.

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If you want to represent your categorical data as part of the whole, then you should use a pie chart. Each slice represents the percentage that the given category occupies out of the whole. It's better to use a pie chart if you're having less than 5 categories.

If you want to compare values, use a pie chart ? for relative comparison ? or bar charts ? for precise comparison. If you want to compare volumes, use an area chart or a bubble chart. If you want to show trends and patterns in your data, use a line chart, bar chart, or scatter plot.