Column chart is the best chart type for comparing values across categories. This chart type visually represents data as vertical bars, with each bar representing a different category and the height of the bar indicating the value of that category. Here is why the column chart is the most suitable option:

1. Comparing values: The primary purpose of a column chart is to compare values across categories. The vertical bars make it easy to compare the heights or lengths of the bars, allowing for a quick visual assessment of the relative values of different categories.

2. Clear category representation: The categories are displayed along the horizontal axis, providing a clear and organized representation. This makes it easy to identify and compare the values of different categories at a glance.

3. Visual emphasis: The vertical bars in a column chart draw attention to the differences in values. The varying heights of the bars create a visual emphasis that helps highlight the variations between categories.

4. Easy to read: Column charts are generally easier to read and interpret compared to other chart types. The vertical orientation of the bars and the clear labeling of categories make it simple to understand and interpret the data.

5. Works well with large datasets: Column charts can effectively represent large datasets with multiple categories. The vertical bars can accommodate a significant amount of data, allowing for detailed comparisons across numerous categories.

6. Supports trend analysis: In addition to comparing values across categories, column charts can also be used to analyze trends over time. By plotting data for different time periods, it becomes easier to identify patterns and trends in the data.

Overall, the column chart is the most suitable chart type for comparing values across categories due to its clear representation, visual emphasis, and ease of interpretation. It is widely used in various fields, including business, finance, and statistics, to visually analyze and present categorical data.