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How not to visualize data?
How to Visualize Data: 6 Rules, Tips and Best Practices

  1. Keep it simple.
  2. Add white space.
  3. Use purposeful design principles.
  4. Focus on these three elements.
  5. Make it easy to compare data.
  6. Blend your data sources.

Don't Distort the Data

A great data visualization should tell the story clearly, avoiding distortions. Avoid the use of visual representations that don't accurately represent the data set, like pie charts in 3D. Data visualizations can lead viewers to certain conclusions without distorting the data itself.Use intuitive colors that make sense to the viewer so they process the information faster. If you're working with temperatures, use red to indicate heat and blue for cold. And how you use colors also has serious effect. It's helpful to show consistency across values or to highlight contrasts in the data.

What are the 3 rules of data visualization : To recap, here are the three most effective data visualization techniques you can use to deliver presentations that people understand and remember: compare to a real object, include a visual, and give context to your numbers. Try using one or more of these techniques in your next presentation.

What is the rule of data visualization

Use intuitive visual cues

The best data visualizations make use of visual cues that are immediately intuitive to the viewer. For example, using different colors to represent different data points can help the viewer more easily understand the relationships between those points.

How do you practice mental visualization : Sit or lie down in a position that feels relaxed and comfortable for you. Close your eyes and breathe: Close your eyes and take a few deep breaths. Feel your body relax with each exhale. Visualize your safe place: Now, imagine a place where you feel completely safe and relaxed.

10 data visualization examples

  1. Indicators show one KPI, clearly.
  2. Line charts display trends.
  3. Bar charts break things down, simply.
  4. Column charts compare values side-by-side.
  5. Pie charts clearly show proportions.
  6. Area charts compare proportions.
  7. Pivot table easily present key figures.


Elegant aesthetics are formed by a recipe comprising astute colour choices, layout decisions, typeface selection, and interactive slickness. It intrigues the viewer, inspires their curiosity, and invites them to read and interact with the contents.

What is rule of 7 data visualization

Rule of seven is a rule of thumb or heuristic. On a control chart, when seven consecutive data points fall on the same side of the mean, either above or below, the process is said to be out of control and in need of adjustment. All the seven points may be within the control limits.This is the golden rule. Always choose the simplest way to convey your information. Identify the relationships and patterns of your data and focus on what you want to show.Hyperphantasia is the condition of having extremely vivid mental imagery. It is the opposite condition to aphantasia, where mental visual imagery is not present. The experience of hyperphantasia is more common than aphantasia and has been described as being "as vivid as real seeing".

Aphantasia means you can't picture things in your mind, and while most people don't have it, it isn't a disease or disability. Just as being left-handed isn't a disability in a world where most people are right-handed, having congenital aphantasia is no more than a difference in how you use your mind.

How to display data nicely : 10 data visualization examples

  1. Indicators show one KPI, clearly.
  2. Line charts display trends.
  3. Bar charts break things down, simply.
  4. Column charts compare values side-by-side.
  5. Pie charts clearly show proportions.
  6. Area charts compare proportions.
  7. Pivot table easily present key figures.

How to show stats creatively : Create a pictogram to visualize your statistic

Pictograms are data visualization where each unit is represented by an icon. They're a creative way to visualize a statistic, especially if you're creating an infographic for social media.

What are some characteristics of a poor data visualization

Below are five common mistakes you should be aware of and some examples that illustrate them.

  • Using the Wrong Type of Chart or Graph. There are many types of charts or graphs you can leverage to represent data visually.
  • Including Too Many Variables.
  • Using Inconsistent Scales.
  • Unclear Linear vs.
  • Poor Color Choices.


Data visualization helps to tell stories by curating data into a form easier to understand, highlighting the trends and outliers. A good visualization tells a story, removing the noise from data and highlighting useful information.Pairwise comparisons indicated that the aphantasia group had a significantly elevated IQ compared with the hyperphantasia group (P = 0.002), but there were no other statistically significant differences.

Do people with hyperphantasia have higher IQ : Average IQ is, if anything, marginally higher in people with aphantasia than hyperphantasia [50]. However, one aspect of memory, that is typically neglected in standard assessments, is more markedly reduced in aphantasia, as suggested by anecdotal reports [39,40].