Summarising tables

Approach to streamline workflow when summarising tables

Introduction The result of the data science process is to communicate findings, typically to an audience that doesn’t talk technical. It is the most important deliverable of the process, even if not the first thing that springs to mind when considering data science. Fantastic insights are of no use if the intended audience doesn’t understand or trust it. It is therefore vital to take care when presenting findings. There are typical and often repeated actions when summarising data in tables. [Read More]