What is Tufte chartjunk?
Chartjunk, coined by Edward Tufte in his book entitled The Visual Display of Quantitative Information, refers to decorations in a graphic that have no purpose.
How do you avoid chartjunk?
To avoid chartjunk in presentations the content on your slides should be as concise and effective as possible. This means building context, getting rid of text labels, and adding more visuals.
What is the Tuftes principle?
One of Tufte’s ideas is data-to-ink ratio, generally stating that when creating a visualization, you should try to maximize the amount of “ink” (physical or digital) used to represent the data, and minimize the amount used to represent everything else not important to understanding.
What are examples of chart junk?
Examples of unnecessary elements that might be called chartjunk include heavy or dark grid lines, unnecessary text, inappropriately complex or gimmicky font faces, ornamented chart axes, and display frames, pictures, backgrounds or icons within data graphs, ornamental shading and unnecessary dimensions.
When should chartjunk be avoided?
6.2. It’s especially common to see presentations of data in the popular media that are adorned with lots of visual elements that are thematically related to the content but unrelated to the actual data. This is known as chartjunk, and should be avoided at all costs.
Is it better to have high or low data-ink ratio?
The goal is to design a display with the highest possible data-ink ratio (that is, as close to the total of 1.0), without eliminating something that is necessary for effective communication.
What is Shneiderman’s visualization mantra?
Visual affordance first, objectives, then aesthetics Highlighting and focus first, drill-down and hyperlinks, then temporal fusion Overview first, zoom and filter, then details-on-demand.
What is non data-ink?
Non-Data-Ink is accordingly the ink that does not transport the information but it is used for scales, labels and edges. The data-ink ratio is the proportion of Ink that is used to present actual data compared to the total amount of ink (or pixels) used in the entire display.
What is a bad chart?
Charts that are misleading The “bad” is the distortion introduced when encoding the data into the visual elements. The Color-blindness pictogram, submitted by Severino Ribecca, commits a similar faux pas. To compare the rates among men and women, the pictograms should use the same baseline.
When should chart junk be used?
What is a good data ink ratio?
The reason for this is to avoid drawing the attention of viewers of the data presentation to irrelevant elements. The goal is to design a display with the highest possible data-ink ratio (that is, as close to the total of 1.0), without eliminating something that is necessary for effective communication.
What does Tufte recommend with regard to data ink?
The data-ink ratio is a concept created by Edward Tufte, famous author in the field of data visualization. Clearly speaking, the data-ink ratio encourages chart creators to examine if all elements in the chart are relevant to the chart’s message. Or in Edward Tufte own words: “Above all else show the data.”
What is an example of data ink?
Examples of High and Low Data-Ink If a graph has too much noise and distracting elements, it is considered to have low data-ink. An example is shown below where the background, grid lines, 3D effects, shadows and other unnecessary aesthetics distract from the data being represented.
What is the goal of visualization?
Visualization is a simple technique that you can use to create a strong mental image of a future event. With good use of visualization, you can practice in advance for the event, so that you can prepare properly for it. And by visualizing success, you can build the self-confidence you need to perform well.
What makes a visualization bad?
Avoid using colors with negligible contrast. Avoid using too many colors. Avoid using conventional colors to convey opposite meanings. Pay heed to the needs of people who might be colorblind.
What is lie factor?
The “Lie Factor” is a value to describe the relation between the size of effect shown in a graphic and the size of effect shown in the data. Edward Tufte, Prof. at the Yale University, defined the “Lie Factor” in his book “The Visual Display of Quantitative Information” in 1983.
How do I maximize my ink ratio?
Maximize the data-ink ratio. Erase non-data-ink. Erase redundant data-ink….So how we can achieve a high data-ink ratio here:
- We can remove the gray background behind the bars since it provides no notional value.
- Getting rid of the legend, since each bar can be labeled directly along the x-axis.