Which data cleaning technique is most appropriate for handling missing data when missing values are randomly distributed across a dataset?
In time series analysis, the Dickey-Fuller test is used to:
Which type of data visualization is most useful for identifying the relationship between two continuous variables?
In Python, missing values in DataFrame are represented as:
What is the primary advantage of customer segmentation in marketing?
You are working on a customer churn analysis project. Your objective is to predict which customers are likely to leave the service in the next quarter. ...
What factor primarily determines the minimum sample size needed for a survey ?
You have a dataset with inconsistent date formats (e.g., 'DD/MM/YYYY', 'MM-DD-YYYY', 'YYYY-MM-DD'). What is the first step you should take to standardiz...
Which of the following scenarios best exemplifies the use of semi-structured data in an organization?
You are analyzing sales data and notice missing values in some of the records. What is the most appropriate first step to take during the data analysis ...
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