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Related Concept Videos

Bar Graph01:07

Bar Graph

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A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...
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As the name suggests, a multiple bar graph is the same as a bar graph but has multiple bars to depict relationships between different data values. One can include as many parameters as possible. However, each parameter must have the same unit of measurement.
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Pie Chart01:04

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A pie chart (or a pie graph) is a circular graphical chart or a pictorial representation of categorical data. It is divided into slices of pie each indicating numerical proportions. It is also used to show the relative sizes of data in a single chart.
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Plotting of Topographic Maps01:29

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Topographic maps represent the Earth's surface features using contour lines, which connect points of equal elevation to create a two-dimensional representation of three-dimensional terrain. Creating a topographic map requires a systematic approach.Begin by plotting a scaled grid and marking intersections corresponding to the survey's elevation data points. Assign elevation values at these intersections to build the base map. Next, determine contour levels using a consistent contour interval,...
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The most common and easiest way to display the relationship between two variables, x and y, is a scatter plot. A scatter plot shows the direction of a relationship between the variables. A clear direction happens when there is either:
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Brain waves are electrical signals generated by the neurons in the brain, which are regularly monitored to measure mental activities. Brain waves and their frequency ranges can be measured using an electroencephalogram or EEG. There are four main types of brain waves, each with distinct characteristics:
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Related Experiment Video

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Using Generative Art to Convey Past and Future Climate Transitions
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Dynamic Data Visualization with Weave and Brain Choropleths.

Dianne Patterson1, Thomas Hicks2, Andrew Dufilie3

  • 1The University of Arizona, Speech, Language, and Hearing Sciences Department, Tucson, AZ, United States of America.

Plos One
|September 30, 2015
PubMed
Summary
This summary is machine-generated.

Weave enhances neuroimaging by visualizing brain maps with choropleths, enabling interactive exploration of linked brain data. This tool offers insights comparable to conventional methods for analyzing complex brain information.

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Area of Science:

  • Neuroimaging
  • Neuroinformatics
  • Data Visualization

Background:

  • Existing neuroimaging tools often lack effective methods for displaying associated data (e.g., behavioral, genetic, medical).
  • There is a need for integrated platforms that combine brain atlases with dynamic data visualization capabilities.

Purpose of the Study:

  • Introduce the dynamic visualization workbench, Weave, and its enhancements for brain map visualization.
  • Enable the neuroimaging community to leverage advanced tools for exploring geographic data applied to brain mapping.
  • Facilitate the concurrent exploration of brain images and related data through interactive interfaces.

Main Methods:

  • Development of brain choropleths modeled after geographic maps.
  • Integration of brain choropleths into the Weave workbench for stacked slice display with slider functionality.
  • Dynamic linking of related data (tables, charts, graphs) to brain choropleths.

Main Results:

  • Weave provides a novel way to visualize brain maps using choropleths, filling a neuroinformatic niche.
  • The system allows for the dynamic and interactive exploration of neuroimaging data linked to brain regions.
  • Region-based analyses using choropleths yield insights comparable to conventional neuroimaging analysis methods.

Conclusions:

  • The Weave workbench and its brain choropleth enhancements offer a powerful new tool for neuroimaging data analysis and visualization.
  • Interactive features facilitate deeper insights through filtering, comparison, and drill-down capabilities.
  • This approach provides a compelling method for publishing dynamic data visualizations as online supplements.