1. Information graphics or infographics are visual representations of information, data or knowledge. These graphics are used where complex information needs to be explained quickly and clearly, such as in signs, maps, journalism, technical writing, and education.

Infographics are used as a powerful tool to allow people to easily digest information through the use of visual data, charts, and statistics. With the proper use of color, proportion, and negative space, information can be transformed into memorable, attention-grabbing and even persuasive graphics.

An infographic (information graphic) is a representation of information in a graphic format designed to make the data easily understandable at a glance. In the enterprise, infographics are used by all levels of management for high-level views of data. …

While infographics look great and help communicate in a better way, a small mistake like a slight misalignment or font variation can ruin the presentation completely. An infographic becomes a bad infographic by: 1. Selecting wrong data visualization.

In the strictest technical sense, an infographic is basically a visual rendition of data or information using charts, graphs, pictures and other visual elements that can be used as a representation of information.

Your graphic wasn’t interesting or useful. Sometimes graphics fail simply because the topic is too broad, too boring or too niche for most people. Sometimes they fail because the information is too detailed and overwhelms the audience. Sometimes they fail simply because they’re just not interesting to read.

The mark of an effective and persuasive infographic is its ability to make information easy to understand within a few seconds of viewing it. Take a look at the infographic above, for example. It actually does a disservice to the information by making it harder–not easier–to understand.

Misleading statistics are simply the misusage – purposeful or not – of a numerical data. The results provide a misleading information to the receiver, who then believes something wrong if he or she does not notice the error or the does not have the full data picture.

Statistics, when used in a misleading fashion, can trick the casual observer into believing something other than what the data shows. The false statistics trap can be quite damaging for the quest for knowledge. For example, in medical science, correcting a falsehood may take decades and cost lives.

How to Tell if Statistics are Accurate – 7 Helpful Ways

1. Statistics Benefit the Group Who Collected the Information.
2. The Market Research Sample Size Is Small.
3. Statistic Error Margins Are Too Large.
4. The Sample Representation Is Inaccurate or Biased.
5. Incentives are Inappropriate for the Statistics Sample.