In the rapidly evolving landscape of data quality and management, understanding key terms and concepts is essential. This glossary serves as a comprehensive resource to demystify the terminology and jargon that surround everything certifications. Whether you are a seasoned data professional, a newcomer to the field, or anyone in between, this glossary is designed to provide clarity and insight into the world of DQS and certifications.
What is a heat map?
Heat maps are generally used to illustrate
- measurements, for example heat images or distributions in population density maps or
- evaluations, for example of the results of (effect) correlations, such as in hotspot analyses.
This form of graphical representation takes advantage of the fact that viewers intuitively associate increasing temperatures from cold to hot with certain color sequences, for example blue, green, yellow, orange and red. This can be interpreted in a further association step, depending on the context, for example as "increasing significance".
However, since different associations of colors with temperatures are possible depending on technical references or cultural groups, the colors should be directly assigned to the ratings in a legend. For example: Yellow = low significance, Orange = medium significance, Red = high significance.