Given a Pandas DataFrame df with columns "product", "count", and "status", which of the following statements will select the rows where the "status" column is equal to "no" and the "count" column is equal to 0? 

What does the ffill parameter in the fillna() method stand for?

1. Which of the following statements about data science are true? (Select all that apply)

a) Data science is a process for extracting insights from data

b) Data science involves the use of statistical and computational methods

c) Data science is used exclusively in the field of computer science

d) Data science can be used in a variety of industries and domains

e) Data science does not involve the use of visualization tools

What does the inplace parameter in the fillna() method do?

In Pandas, how can you fill missing values using linear interpolation?

How can you fill missing values in a Pandas DataFrame with the mean value?

Given a Pandas DataFrame df with columns "name", "age", and "gender", which of the following statements will select the rows where the "gender" column is equal to "F" and the "age" column is greater than or equal to 30? 

Z score is given by ___________________

What is the purpose of normalization in data cleaning?

What is the purpose of handling inconsistent data in data cleaning?