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A column chart is a type of data visualization in which each category is represented by a rectangle, the height of which is proportional to the numbers depicted. Vertical bar charts are another name for column charts.
A column chart is a type of chart that depicts data as a series of rectangular columns, the lengths of which are proportionate to the numbers they represent. The vertical axis depicts the values, while the horizontal axis depicts the categories to which they belong. Values in multiple-series column charts are categorized.
The column chart is extensively used to demonstrate comparisons across categories and, in certain cases, to represent time-based data. A column chart is the most common style of Excel chart, with data series shown using vertical columns. Column charts are useful for displaying change over time since column lengths may be easily compared.
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Conducting exploratory research seems tricky but an effective guide can help.
Ocassion 1: The data reflects the rank of values in order to highlight extreme values
A column chart would be an excellent choice in this situation since it displays columns that increase from smallest on the left to largest on the right on the horizontal axis.
Ocassion 2: The chart’s items have short category labels
It is critical to make the category labels under the columns of each column visible and understandable. When the audience becomes confused about the labels of each column, you start losing information and they become lost in your column chart, which is not ideal. In this case, if the category names are extensive and sophisticated, bar charts with long label texts are unrivalled. Otherwise, a column chart with labels presented next to each other from left to right would be ideal.
Ocassion 3: A trendline is required
A trend line is a line on a graph that is related with a data series and indicates a statistical tendency. A trendline does not reflect the data of that data series; rather, it is intended to highlight patterns in your existing data or future data projections. When compared to other charts, a column chart has a distinct benefit in presenting a trendline since the column height naturally varies in the direction that the chart develops. If you intend to employ a trendline, you will undoubtedly discover that trendlines work best with column charts.
Ocassion 4: The chart data contains negative values
A negative number is a real number that is less than zero in mathematics. Negative numbers indicate polar opposites and are frequently used to express the extent of a loss or shortfall. Since we were children, we have been taught that numbers below the horizontal axis are negative integers. In this situation, when comparing data, column charts perform far better if negative values occur.
Both bar charts and column charts have more or less the same uses.
Visualization / orientation
Bars are vertically oriented
Bars are horizontally oriented
Time series analysis
Possible with column chart
Not possible with bar charts
Type of variable
Comparison of age-ranges, survey reports etc.
Agreement-disagreement scales, before and after responses etc.
It is the most basic type of column chart. Vertical rectangular bars of equal width are drawn against a two-dimensional axis system. This sort of column chart is ideal for comparing numbers from many categories of data.
Many columns are clustered or organized under a single category in this situation. It can also be mapped against a two-dimensional coordinate system. A clustered column chart is useful for comparing the value of many categories, each of which has multiple sub-categories.
Vertical bars are separated into sub-parts in stacked column charts. These display the total value of a data item and compare the pieces to the whole. Color distinguishes items piled on top of one another. They display the component elements of each element under consideration, combining diverse data sets to offer a more complete view of the total of changes. They may demonstrate change over time and are especially useful for comparing relative and absolute differences — when the sum of the values is just as relevant as the totals.
A stacked chart is useful for examining changes in, say, expenditure over time across many items or services.
Percentage column charts are similar to stacked charts, except they display data as a percentage, which means that all of the bars have the same length. They may be used in the same manner as stacked charts are, and they are especially useful for examining relative differences.
A scrolling column chart is the same as a clustered column chart, with the exception that the horizontal or X-axis will always have a scroll beneath it. They are most useful for comparing data across time and doing time series analysis on a large number of data sets. The scroll is used to display a portion of the entire chart at a time. The scroll bar may be used to browse the whole chart.