In which of the following step the missing values are addressed ?  A. Data Cleaning  B. Data Collection  C. Data Arrangement  D. Data Gathering

(b) Discuss why it is necessary to handle missing values. Use Python program to identify the variables with missing values in the given dataset. [No more than 200 words (including in-text citation, excluding Python code)] (15 marks)

The process of removing anomalies from datasets, accounting for missing values, resolving inconsistencies in the data is known as_______________Answer choicesSelect only one optionREVISITData transformationData cleaningData reductionData wrangling

When in the data preprocessing phase, how should one treat missing/null values?Remove the rows with missing values.Fill Missing values with the most common value in the column.Remove the whole column if it has more than 2% of the total size of the dataset as missing values.

...... is the process of identifying and correcting inaccuracies in a dataset.a.None of the optionsb.Data scrubbingc.Data singlingd.Data transformation

In which phase of data processing is data aggregation most commonlyperformed?a. Data collectionb. Data cleaningc. Data integrationd. Data analysis