To create a histogram that effectively displays ranges of integers in groups, the necessary resource is a Bin group type. Binning is a process that allows you to group a set of values into specified intervals or "bins." This is particularly useful for visualizing the distribution of numerical data, where you want to show how often values fall within certain ranges.
When creating a histogram, you define bins that group the continuous range of data into discrete intervals. The bin group type facilitates this by allowing you to specify the size and boundaries of each bin, enabling the presentation of data in a way that highlights patterns, trends, or distributions within the dataset.
The other options, such as a Date/time column or a List group type, do not serve the purpose of grouping numerical data into specified ranges. While a numerical column is indeed required for the underlying data, it is the binning process that is crucial for constructing the histogram itself. The bin group type directly relates to how the data is aggregated and visualized in the histogram format.