The answer depends on the scale used.
histogram
The class interval.
In a bar graph, the intervals typically represent categories or discrete values and are placed along the x-axis. Each bar corresponds to a specific interval, showing the frequency or value associated with that category. If the data is continuous, a histogram is more appropriate, where intervals are represented as ranges on the x-axis.
To display data in a histogram, first, organize your data into intervals or "bins" that represent ranges of values. Then, count the number of data points that fall into each bin. Finally, plot the bins on the horizontal axis and the corresponding counts on the vertical axis, using bars to represent the frequency of each bin. Ensure that the bars touch to indicate the continuous nature of the data.
I think it represents a frequency.
A histogram is a chart comprising bars but, unlike an ordinary bar chart, the widths (intervals) of the bars are different and their heights represent the frequency densities, not frequencies.
histogram
The class interval.
Histograma is a Spanish of histogram. Histogram is a bar graph in which data are divided into equal intervals, with a bar for each interval. The height of each bar shows the number of data values in that interval.
A histogram represents the distribution of scores in a dataset by organizing them into equally spaced intervals or bins along the horizontal axis, and displaying the frequency or count of scores within each bin on the vertical axis. The scores on the horizontal axis could be any type of numerical data, such as test scores, heights, or ages.
In a bar graph, the intervals typically represent categories or discrete values and are placed along the x-axis. Each bar corresponds to a specific interval, showing the frequency or value associated with that category. If the data is continuous, a histogram is more appropriate, where intervals are represented as ranges on the x-axis.
To display data in a histogram, first, organize your data into intervals or "bins" that represent ranges of values. Then, count the number of data points that fall into each bin. Finally, plot the bins on the horizontal axis and the corresponding counts on the vertical axis, using bars to represent the frequency of each bin. Ensure that the bars touch to indicate the continuous nature of the data.
I think it represents a frequency.
To display data in a histogram, first, you need to collect and organize your data into intervals, known as bins. Each bin represents a range of values, and the frequency of data points within each range is counted. Then, you create vertical bars for each bin, where the height of each bar corresponds to the frequency of data points in that interval. Finally, label the axes appropriately, with the x-axis representing the bins and the y-axis representing the frequency.
1. A histogram is two-dimensional while a polygon has more than four dimensions. 2. A histogram may be drawn from a histogram by joining the mid points of upper horizontal sides of each rectangle. But a histogram can not be drawn from a polygon. 3. The frequency polygon of several distributions can be plotted on the same axis while more than one histogram can not be drawn on the same axis. 4. It is possible to compare the polygon of several distributions as they can be plotted on the same axis. But to compare histogram we must have a graph for each distribution. 5. Polygon an outline of data pattern is sketched more clearly than histogram.
The graphical representation you are describing is known as a histogram. In a histogram, the vertical rectangles (or bars) represent the frequency of data within specific intervals (or bins), and the centers of the bases of these rectangles align with the class marks of the data. The height of each rectangle corresponds to the frequency of observations within each class interval, visually illustrating the distribution of the dataset.
A histogram uses rectangles to represent the frequency distribution of a dataset. In a histogram, the width of each rectangle corresponds to the interval of values (bins), while the height indicates the frequency of data points within that interval. This visual representation helps to identify patterns, such as the shape of the distribution, central tendencies, and variability within the data.