Data Displays
Data Displays - Related Videos
09:04
Recording Ultra-Realistic Full-Color Analog Holograms for Use in a Moving Hologram Display
0 Views •
Cited by 3 •
2020
We present a protocol to record a set of ultra-realistic full-color analog holograms, showing the same brightness, transparency, and homogeneous colors, on ultra-fine-grain silver-halide holographic emulsions for the fabrication of a dynamic holographic 3D display.
01:28
Display Advertising
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2025
Display advertising is a form of online advertising that involves visually engaging ads displayed across various websites, social media platforms, and other digital spaces. These ads typically include images, graphics, and text designed to capture the viewer's attention and drive specific actions, such as clicking on the ad or making a purchase. The effectiveness of display advertising hinges on several key components. Ad Creatives are the visual elements of the ad, including images, videos,...
05:49
Protein Engineering by Yeast Surface Display
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Cited by 1 •
2024
This protocol describes the essential steps for conducting yeast surface display selection campaigns to enrich protein variants binding to an antigen of interest.
07:42
Spore Adsorption as a Nonrecombinant Display System for Enzymes and Antigens
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Cited by 13 •
2019
This protocol focuses on the use of bacterial spores as a "live" nanobiotechnological tool to adsorb heterologous molecules with various biological activities. The methods to measure the efficiency of adsorption are also shown.
08:07
A "Plug-And-Display" Nanoparticle Vaccine Platform Based on Outer Membrane Vesicles Displaying SARS-CoV-2 Receptor-Binding Domain
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Cited by 1 •
2022
The present protocol describes the bioengineering of outer membrane vesicles to be a "Plug-and-Display" vaccine platform, including production, purification, bioconjugation, and characterization.
FAQs
Choose the display that matches the structure and purpose of the data. Bar graphs and pictographs support comparisons among categories, while line graphs emphasize change. Scatterplots and coordinate graphs help examine relationships between paired values. The choice should also reflect whether the goal is to compare amounts, summarize a distribution, identify a trend, or investigate quantitative relationships.
Accurate scales, labels, and units determine how viewers interpret graphical differences. Unequal intervals, missing units, or unclear category names can make values appear more different or similar than they are. In mathematics, these features provide the reference needed to compare quantities correctly, describe patterns precisely, and avoid conclusions that the underlying data do not support.
Data displays communicate values through features such as position, length, color, and symbols. Position on a coordinate graph can show paired numerical values, while bar length can make category differences visible. These encodings allow viewers to compare information without reading every raw value, but the graphical feature must correspond consistently to the measurement it represents.
Bar graphs are suited to comparing separate categories, whereas line graphs make changes across an ordered sequence easier to examine. Scatterplots show how paired values are positioned relative to one another, supporting inspection of possible relationships. Using one display for the wrong purpose can obscure the relevant pattern and lead to weaker mathematical reasoning.
Begin by identifying the categories, measurements, or paired values and clarifying the question the display should answer. Select a suitable graph or table, then place the data accurately. Add a meaningful title, category labels, a scale, and units when needed. Finally, inspect the completed display to confirm that its visual patterns match the recorded values.
Students can compare heights, positions, symbols, or plotted points to describe which values are larger, how quantities change, and whether points suggest a relationship. They should support observations with the scale and units rather than relying only on visual impressions. This approach connects graphical evidence with mathematical statements about trends, comparisons, and distributions.
In mathematics, data displays support statistics and probability by helping organize information, compare distributions, and examine possible trends. They also contribute to reasoning in science and everyday decision-making, where people must evaluate quantitative relationships. Clear displays make evidence easier to communicate, while careful interpretation helps distinguish a supported conclusion from an impression created by presentation choices.