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Related Concept Videos

Bar Graph01:07

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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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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

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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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A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
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Review and Preview01:13

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Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
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Description of continuous data using bar graphs: a misleading approach.

Edson Zangiacomi Martinez1

  • 1Departamento de Medicina Social, Faculdade de Medicina de Ribeiro Preto, Universidade de São Paulo, Ribeirão Preto, São Paulo, BR.

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Summary

Bar graphs are inadequate for continuous data. Box plots and dot plots are better for visualizing data range, shape, and variability, making them preferred for scientific publications.

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Area of Science:

  • Biostatistics
  • Data Visualization
  • Scientific Communication

Background:

  • Medical and scientific journals commonly use bar graphs to represent continuous data due to computational ease.
  • The prevalence of bar graphs for continuous data may stem from their simplicity in presentation.

Purpose of the Study:

  • To critically evaluate the suitability of bar graphs for presenting continuous data.
  • To highlight the limitations of bar graphs in conveying comprehensive data characteristics.

Main Methods:

  • The study discusses the inherent inadequacies of bar graphs for continuous data representation.
  • Comparative analysis of different plot types for continuous data visualization was performed.

Main Results:

  • Simulated data indicate that box plots and dot plots are more effective tools for describing continuous data.
  • Box plots and dot plots provide a more complete picture of data distribution than bar graphs.

Conclusions:

  • Box plots and dot plots are superior for representing continuous variables, effectively showing range, shape, and variability.
  • These plots clearly identify outliers, offering richer insights than bar graphs.
  • Bar graphs are best reserved for qualitative data, as they primarily display measures of central tendency.