Histogram is a powerful data visualization tool used to represent the distribution of numerical data. It works by grouping data values into intervals, or "bins", and then displaying the frequency of occurrences within each bin using vertical bars. The height of each bar corresponds to the number of data points that fall within its associated bin.
Histograms are particularly valuable for understanding the shape, center, and spread of data. They can reveal patterns, such as symmetry, skewness, and the presence of outliers. Additionally, histograms help identify the mode and provide insights into the range and variability of the data.
In survey data, histograms can visualize responses to numerical questions like age, satisfaction ratings, or income levels, helping researchers understand the sample's characteristics.
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BI -> Create Dashboard -> Blank Dashboard -> Continue -> Add Widget -> Question Based
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Bin: A range or interval grouping data points; forms the base of histogram bars. Choosing the right bin width balances detail with readability.
Frequency: Count of data points within a bin; bar height in a histogram represents frequency.
Cumulative Histogram: Displays cumulative frequencies, showing running totals and aiding percentile/quantile estimation.
Normalized: Frequencies expressed as percentages of total data, allowing comparison between different-sized samples.
This feature is available with the following licenses :
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