Find missing values
In the field of Data Science, it is common to encounter datasets with missing values. This is especially true in the case of time series data, where missing values can occur if a measurement fails to record the value at a specific timestamp. To count the number of missing values in a DataFrame called df that contains time series data, you can use the command:
missing_values = df.isnull().sum()
In this exercise, you will learn how to find whether your data contains any missing values.
Deze oefening maakt deel uit van de cursus
Visualizing Time Series Data in Python
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
# Display first seven rows of co2_levels
print(___.____(____))