Visual chart 10 wrong way of expression, how many do you make?

& nbsp; Data visualization is a powerful weapon for communicating complex information, through which our brains can better capture and save valid information, Increase the impression of information.But if the data visualization to do weak, but will have a negative effect.Miss wrong expression will undermine the dissemination of data, completely misinterpreting them

So good data visualization relies on excellent design, not just the right choice of charting template. All in a more conducive to understanding and guidance to express information, as far as possible to reduce the cost of access to information users. Of course not all chart makers are good at this. So we see in the chart expression, all kinds of ironic errors, the following is an example of these errors as easy to correct:

Pie charts are a very simple visualization tool, but they are often too complicated. Share should be intuitively ordered, and not more than 5 subdivisions. There are two sorting methods that allow your readers to quickly grab the most important information

Method one: the largest share of the part on the 12 o'clock, counterclockwise placed the second largest share of the part, and so on.

Method two: the largest part on the 12 o'clock, and then placed clockwise.

Dotted lines can be distracting, but more easily distinguishable from one another by using solid lines with the right colors.

Your content should be logical and direct the reader to the data in an intuitive manner. Sort categories by letter, count, or numerical size.

Make sure data is not lost or overwritten by design. For example, using transparent effects in area charts ensures that the user can see all the data.

Make the data easier to understand with ancillary graphic elements, such as adding trendlines to scatter plots.

Make sure any renderings are accurate, for example, the size of the bubble chart should be the same as the value, do not just label it.

Some colors are more prominent than others, giving the data unnecessary heavy elements. Instead, you should use a single color, and then through the depth of color to express.

The spacing between columns and columns is best adjusted to 1/2 of the width.

Comparison is an effective way to show differences, but if your readers are not easy to compare, the effect is greatly reduced. Make sure your data is presented in the same way that your readers can compare.

Although these charts look exciting, but the 3D map is also easy to distract expectations and disrupt the data, insisted 2D is king.