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Related Concept Videos

Bar Graph01:07

Bar Graph

16.8K
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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Multiple Bar Graph01:07

Multiple Bar Graph

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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.
Each bar or column in the multiple bar graph represents a data value. These graphs are used primarily in interrelating two or more sets of data. The categories of different kinds of data are listed along the horizontal or x-axis, whereas...
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Contingency Table01:29

Contingency Table

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A contingency table provides a way of portraying data that can facilitate calculating probabilities. It is a method of displaying a frequency distribution as a table with rows and columns to show how two variables may be dependent (contingent) upon each other; The table helps determine conditional probabilities quite quickly and can help systematically organize, analyze and quantify data. The table displays sample values concerning two variables that may be dependent or contingent on one...
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Pareto Chart00:52

Pareto Chart

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A Pareto chart is a bar graph or a combination of both line and bar graphs. The bar lengths represent the individual values or the frequency, while the lines represent the cumulative total values. In this chart, the longest bars are arranged on the left and the shortest bars on the right, which makes it easier to read and interpret the data. It can also be called a Pareto diagram or Pareto analysis.
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...
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Histogram01:05

Histogram

14.0K
The histogram is a graphical representation in the x-y form of data distribution in a data set. The horizontal x-axis is labeled with what the data represents (for instance, distance from your home to school). The vertical y-axis is labeled either frequency or relative frequency (or percent frequency or probability).
A histogram graph consists of contiguous (adjoining) boxes. The heights of the bars correspond to frequency values. The graph will have the same shape with respective labels. The...
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Relative Frequency Histogram01:14

Relative Frequency Histogram

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The relative frequency depicts the proportion of data points that have each value. The frequency tells the number of data points that have each value. Like the histogram, a relative frequency histogram also has the same shape with a horizontal scale (the x-axis), but the vertical scale (the y-axis) is marked with relative frequencies (percentages of the whole) instead of actual frequencies. A relative frequency histogram is a graphical representation of a frequency distribution where the...
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Related Experiment Video

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Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
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Reasoning Affordances With Tables and Bar Charts.

Cindy Xiong, Elsie Lee-Robbins, Icy Zhang

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    Summary

    Data visualization design impacts reasoning. Tables promote accurate ratio analysis, reducing confirmation bias from pre-existing beliefs, unlike bar charts which encourage heuristics.

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    Area of Science:

    • Cognitive Psychology
    • Human-Computer Interaction
    • Data Visualization

    Background:

    • Confirmation bias, where individuals favor information confirming existing beliefs, can impair accurate reasoning with data.
    • The influence of data visualization design on cognitive biases, particularly confirmation bias, requires further investigation.
    • Understanding how presentation formats affect reasoning strategies is crucial for effective data interpretation.

    Purpose of the Study:

    • To investigate the presence of confirmation bias in data visualization reasoning.
    • To determine if specific data visualization designs can mitigate biased reasoning strategies.
    • To explore the impact of data presentation formats on complex ratio comparison tasks.

    Main Methods:

    • Crowdworkers solved reasoning problems involving data presented in tables, bar tables, or bar charts.
    • Two belief conditions were employed: primed beliefs and pre-existing beliefs.
    • Participants' reasoning strategies (ratio comparison vs. heuristics) and accuracy were analyzed based on data format.

    Main Results:

    • Confirmation bias was present with pre-existing beliefs but not significantly with primed beliefs.
    • Table format facilitated correct ratio reasoning, while bar tables and bar charts led to heuristic strategies.
    • Using the ratio strategy significantly increased the likelihood of arriving at the correct answer.

    Conclusions:

    • Data presentation formats significantly influence reasoning strategies and susceptibility to cognitive biases like confirmation bias.
    • Table formats appear to better support accurate, analytical reasoning compared to graphical formats for specific tasks.
    • Visualization design choices can either hinder or support unbiased, evidence-based decision-making.