Charts and diagrams will be tools to represent complex data. They can help you describe styles, make an evaluation, and have absolutely relationships among several elements. Nevertheless , they need to be applied properly to help them to work as successful tools meant for analysis.
The first thing in creating a visualization is to decide what message you want your data to see. Do you want to evaluate different communities? Are there any outliers? Or may be the info showing several distribution?
Pick a chart type that is suitable for the story you are trying http://infographicsaplenty.com/ to tell. A bar graph is a good decision when you are comparing changes in a person variable. Likewise, a line chart is more preferable when you are comparing changes in two or more variables.
Area chart are a more sophisticated choice just for displaying time-series data. They can deal with more data points and data series, but they must be designed properly, or the chart can look cluttered and difficult to read.
To avoid visual clutter, limit the amount of categories you plot to four or perhaps less. As well, use translucent colors thus each list of data can be viewed in the background.
Keep in mind, all chart are meant to assist you to convey information to your audience. They have to also be easy to understand, so make sure to keep the design and style simple and simple. Don’t incorporate too many borders, gridlines, or special effects (like 3D).
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