Data Cleaning
Last updated
Last updated
Sometimes, there are some impurities in your data, such as incorrect data types, syntax errors, or missing values. These problems can cause some biases when you grasp insights from your data. Before doing any analysis, you can use Data Cleaning actions to deal with those impurities and make sure your data has a good quality.