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Related Concept Videos

Multiple Bar Graph01:07

Multiple Bar Graph

6.3K
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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Pie Chart01:04

Pie Chart

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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.
In a pie chart, the central angle, the arc length of each slice, and the area are directly proportional to the quantity or percentage it represents. Some real-world examples that can be depicted using pie charts include marks obtained by students...
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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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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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Statgraphics01:10

Statgraphics

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Statgraphics is a comprehensive statistical software suite designed for both basic and advanced data analysis. Originating in 1980 at Princeton University under Dr. Neil W. Polhemus, it was one of the pioneering tools for statistical computing on personal computers, with its public release in 1982 marking an early milestone in data science software. Over the years, it has evolved into a robust platform for data science, offering tools for regression analysis, ANOVA, multivariate statistics,...
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Run Charts01:12

Run Charts

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Run charts serve as an essential instrument for visualizing the performance of various processes over time, enabling the identification of trends and patterns crucial for quality improvement. These charts map out a series of data points chronologically, offering insights into the stability and efficiency of a process. A run chart's creation involves plotting data points on a graph, with the time intervals on the horizontal axis and the specific measurements on the vertical axis. For...
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Business Data Visualization, Beyond the Boring.

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    Business users need more engaging chart and visualization options beyond standard types. Re-evaluating user needs can drive innovation in business data visualization tools.

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    Area of Science:

    • Business Intelligence
    • Data Visualization
    • Human-Computer Interaction

    Background:

    • Business users are often perceived as having mundane data visualization needs.
    • Current chart types offer limited options, leading to monotony.
    • There's a recognized gap between existing tools and the potential for more engaging visualizations.

    Purpose of the Study:

    • To challenge the notion that business users have uninspired visualization requirements.
    • To explore opportunities for developing novel approaches and tools for business data visualization.
    • To advocate for a deeper understanding of business users' actual needs and desires in visualization.

    Main Methods:

    • Re-examining common perceptions of business users.
    • Analyzing the limitations of current business chart types.
    • Identifying unmet needs in business data presentation.

    Main Results:

    • Business users desire more attention-grabbing and impactful visualizations.
    • Existing visualization tools are often one-size-fits-all, failing to meet diverse needs.
    • Significant potential exists for innovation beyond conventional chart designs.

    Conclusions:

    • A shift in perspective is needed regarding business users' visualization needs.
    • Developing advanced, user-centric visualization tools is crucial.
    • Further research into business user requirements will drive better data communication.