Charts are useful tools for quickly communicating the relationship between sets of data. They can be used to visually display various information, including sales and expenses over a set period or how orders are fulfilled at a specific warehouse.
They are also commonly used to monitor data collection and analysis performance. Laboratory technicians can download quality-control spreadsheet templates and use them for these purposes.
Axes
In labs, axes can be used to show data in different ways. They can be used to overlay data on a chart or graph to offer a more detailed, granular level of information.
The axis can also be used to label your data. This is an important part of presenting your data and results.
Axis labels can be specified directly from plotting commands or saved to a named object for later use.
Axis labels are typically specified using the functions ggtitle(), lab (), and lab (). This is a convenient way to customize the appearance of your axis labels.
Dots
One of the most useful charts for labs is a dot density map, which uses small solid circular dots to represent data values. This type of visualization is often used for expressing three numeric dimensions or two numeric and one categorical weight.
However, they can also be used for 4-dimensional data, such as population or disease incidence. Bubble charts are another popular choice for such visualizations, and they can be a great tool for illustrating relationships between variables.
There are many ways to use dots in a chart, but the most common is representing them on a scale, like bars and lines. This makes them efficient for visualizing quantities and proportions.
Lines
Line charts are useful for tracking changes in data over time. They also display relationships that may not be visible in a traditional data table.
One type of line chart is a Levey-Jennings chart. These charts are used in laboratories to monitor the stability of a lab test method.
A Levey-Jennings chart shows a series of control points (lab tests) used to calculate the standard deviation of the test result. If a test results in two consecutive points that exceed two standard deviations from the average (control value), then that lab test is out of control.
Reference lines are required for all graphs. They can be color-coded for computer and print display or shape coded with symbols for black-and-white reproduction.
Symbols
Safety symbols are a great way to communicate potential hazards – as long as workers understand what they mean. However, it cannot be easy to know which ones to use and where they should be placed in your lab.
There are two kinds of symbols: those that refer to general safety protocols and those that are used for labeling chemicals that may be hazardous.
Oxidizing materials can be dangerous as they make oxygen, which may displace other chemical substrates and lead to fire or explosion. They also have toxic and corrosive properties that can damage the skin.
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Labels
Labels are a critical part of lab equipment. They help ensure your team is working with the right materials and that experiments are safe and accurate.
Identifying samples accurately in a laboratory environment requires durable labels that can handle extreme temperatures and chemicals. Additionally, they should withstand the repeated cleaning cycles needed for many laboratory instruments and machines.
For example, laboratory labels should withstand sterilization processes, autoclaves and centrifuges, and freezing conditions. They should also withstand UV light, X-rays, and other testing conditions.
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