4 Stages of Data Annotation to Make Informed and Better Business Decisions
Data annotation is a process that adds information to data, in order to help you make better decisions. When you want to make informed and key business decisions, the right process of data annotation services can help you make the most of the available information, to the best advantage of your business. In this blog, we'll walk through four stages of data annotation: 1. Descriptive Annotation The first step of data annotation is to describe the data. This includes describing: • The categories and values of each variable, including any missing values. For example, if you have a categorical variable with three levels (0, 1, and 2), you should describe them as "No", "Yes" and "Missing". • Any relationships between variables that are important for understanding the dataset or its analysis results (e.g., correlation coefficient). 2. Coding Annotation Coding annotation is a way of marking up elements in your data so that it can be easily understood by huma