Data Preprocessing : One-Hot Encoding
A single binary digit is called a "bit" Prior to conducting any data analysis, the initial step typically involves data preprocessing. Data cleaning is an essential phase in data analysis because real-world datasets tend to be incomplete and messy. Think of it as washing and peeling potatoes before putting it to boil. This process is crucial because the insights and analysis are only as good as the data you are using. Without proper input: Garbage In, Garbage Out. I first came across one-hot encoding in my final year at UWI in COMP 3610: Big Data Analytics in a lab session. The concept of one-hot encoding revolves around the transformation of qualitative data into a binary format. "Why is it called one-hot encoding?" One-hot encoding is named as such because it represents categorical data using a binary format where only one bit is "hot" or active (se...