Which of the following step is performed first by data scientist after acquiring the data?

Category: Miscellaneous Indian Gk

Hint: Consider the first necessary action to ensure data quality.

Correct Answer: A) Data Cleansing.

Exam Relevance: UPSC, SSC, Bank PO, MBA Entrance

Difficulty: Easy

Explanations:

Data scientists follow a series of steps to prepare data for analysis. The first and most critical step in this process is data cleansing, also known as data cleaning. Data cleansing involves identifying and correcting or removing errors, inconsistencies, and inaccuracies in the data. This step is crucial because the quality of the data directly impacts the accuracy and reliability of the analysis and the insights derived from it.

Data cleansing can include various activities such as removing duplicate records, correcting typographical errors, handling missing values, and standardizing data formats. For example, if a dataset contains customer information, data cleansing might involve removing duplicate customer entries, correcting misspelled names, and ensuring that all dates are in a consistent format.

After data cleansing, the next steps in the data preprocessing pipeline typically include data integration and data replication. Data integration involves combining data from different sources into a single, unified view. This step is necessary when the data comes from multiple databases or systems. Data replication, on the other hand, involves creating copies of the data for backup or distribution purposes. However, these steps are performed after the data has been cleansed to ensure that the integrated or replicated data is of high quality.

It is important to note that the order of these steps is not arbitrary. Data cleansing must be performed first because any errors or inconsistencies in the data can propagate through the subsequent steps, leading to incorrect analysis and misleading results. By ensuring that the data is clean and accurate at the outset, data scientists can build a solid foundation for their analysis and derive meaningful insights from the data.

Option Analysis:

Option A: This is the correct answer. Data cleansing is the first step in data preprocessing to ensure the data is accurate and reliable. It involves removing or correcting erroneous, incomplete, or irrelevant data.
Option B: This is incorrect. Data integration is performed after data cleansing to combine data from different sources. It is not the first step.
Option C: This is incorrect. Data replication is not typically the first step in data preprocessing. It is usually done for backup or distribution purposes after the data has been cleansed and integrated.
Option D: This is incorrect. While all these steps are part of the data preprocessing pipeline, data cleansing is specifically the first step to ensure data quality.

Mnemonic: Clean first, then integrate or replicate.

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