Data Cleaning With Python, Data Analysis, Dataframes Python, Marketing Analytics.
data cleaning problems. Essentially, missing data is when no data value is stored for a variable in an observation. Missing data is most commonly represented as NA or NaN, but can take on arbitrary values like 0 or dot. Its mostly caused due to technical or human errors. Ex15. For this usecase, we