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Visualizing Qualitative vs. Quantitative Data definitions

컨트롤 버튼이 '내비게이션' 모드로 변경되었습니다.
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  • Qualitative Data
    Observations represented by names or labels, such as eye color or nationality, without numerical values.
  • Quantitative Data
    Observations represented by numerical values, such as test scores or heights, allowing for mathematical analysis.
  • Bar Chart
    A visual displaying frequencies of categories with separate vertical bars, where bar height indicates frequency.
  • Pie Chart
    A circular graphic dividing data into wedges, each showing the percentage or proportion of a category within a whole.
  • Frequency
    The count of how often a particular observation or value appears within a dataset.
  • Pareto Chart
    A specialized bar chart with bars arranged in descending order to highlight the most significant categories.
  • Histogram
    A bar graph for numerical data where adjacent bars touch, representing frequencies of continuous numerical intervals.
  • Frequency Polygon
    A line graph connecting points representing frequencies of numerical intervals, offering a continuous view of data distribution.
  • Stem Plot
    A display splitting numbers into left and right digits, revealing both frequency and actual data values in a compact form.
  • Category
    A distinct group or label used to classify qualitative data, such as eye color or nationality.
  • Proportion
    A value expressing the part of a whole that a category or group represents, often shown as a percentage.
  • Class Interval
    A range of numerical values grouped together on the x-axis of histograms and frequency polygons.
  • Distribution
    The overall pattern of how data values are spread or clustered within a dataset.
  • Observation
    An individual data point or measurement collected within a dataset, either qualitative or quantitative.