For a user to read and interpret a heat map correctly, a clear legend is required. Heat maps have many potential uses. One example is using a heat map to determine the specific time of day when a retail business makes the most sales. In this map, the vertical side shows the days of the week, and the horizontal side shows the different times of the day. The areas with higher colors indicate the times and days when the business makes the most sales. Then, you can see patterns in the data that enable you to find the exact times your store enjoys the highest sales by coloring the matrix with colors related to the amount of sales at each time of day.
A boxplot, boxplot and swirl, or boxplot provides a visual summary of data. A box is first drawn from the first quartile of the data set to the third. A line inside the box denotes the median. Then the box's minimum (lower end) and maximum (upper end) are marked with "whiskers," or lines. An Email Data example of an outlier is a single point that aligns with the bristles. This type of chart is useful for immediately determining whether the data is symmetric or skewed and for providing an easy-to-understand visual summary of the data set.
Also read: 5 ways data visualization has helped our clients make more money 8. Tree maps A treemap is an effective way to display hierarchical data as nested rectangles. The size of each rectangle represents a data attribute, and the color may also indicate additional information. Tree maps are useful for illustrating categories, proportions, and patterns, as they can represent complex data structures and hierarchies. They are often used in fields such as finance, where they can represent folder sizes in file systems and visualize market sectors and portfolio compositions. Tree maps improve data understanding and decision-making by helping users quickly understand the whole picture and specific details.