Data Cleaning and Transformation

Data can come in many shapes and forms, especially when dealing with real-world datasets like crime records. In some cases, data is collected automatically, and sometimes each police station may have its own procedures for documenting incidents, which can lead to inconsistencies. This means you might need to make adjustments before the data is ready for analysis. As you’ve seen in the Discovering the Data section, there are several factors to consider when preparing your dataset. Let’s break it down step by step! The following questions will guide you through the process and help you think critically about making the data useful for your analysis.