Data Cleaning With Python, Data Analysis, Dataframes Python, Marketing Analytics.
look at one airquality dataset. It contains temperature and CO2 measurements for different dates. We can see that the CO2 value in this row is represented as NaN isna method: We can find rows with missing values by using the dot is na method, which returns True for missing values and False for