This blog cover another type of data visualization called heatmaps. first understanding of what heatmaps are before highlighting their benefits....
What are Data Visualization Heatmaps?
Heatmaps were originally introduced by Cormac Kinney to graphically represent real-time financial information. They are used in data visualization to measure the intensity of given business values, encoded using different colors.
The following image is an example of the heatmap, shared by NASA on July 13th, 2022. It shows the surface air temperatures for many countries in the world. The hottest the area is, the darkest the color. Investly, the coldest, the color is more driven towards blue. Such information can be easily understood at a glance.
Data Scientists can use them to turn companies' information into easy-to-understand visualizations to help them make actionable smart decisions.
As a Data Scientist, being able to provide businesses with a clear and concise visualization can help them grab key information about their data for quick and efficient decision-making.
Different types of visualizations exist to communicate different messages. For instance, histograms are used to measure the distribution of numerical data, scatterplots for analyzing relationships between variables, and pivot tables for summarizing key statistics in a single table, just to name a few using tools like Power BI, Tableau, etc.











