AIF-C01 Question 72

Community Discussion

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• Chose C4

  C. Exploratory data analysis (EDA): EDA is the process of analyzing and visualizing the data to understand its characteristics and identify patterns, relationships, and anomalies. The company is performing actions like creating a correlation matrix, calculating statistics, and visualizing the data, all of which are typical activities in EDA.

• Chose C4

  C: Exploratory data analysis Explanation: Exploratory Data Analysis (EDA) involves examining and summarizing data to understand its underlying structure, detect patterns, identify relationships (e.g., via a correlation matrix), and highlight any anomalies. The company's activities, such as creating a correlation matrix, calculating statistics, and visualizing the data, are typical tasks performed during EDA. Why not the other options? A: Data pre-processing: Data pre-processing involves cleaning and preparing data for modeling, such as handling missing values, scaling features, or encoding categorical data. While pre-processing may follow EDA, the tasks described in the question focus on analysis rather than preparation.

• 2

  C. Exploratory data analysis Exploratory Data Analysis (EDA) involves examining and visualizing data to understand its structure, patterns, and relationships. Creating a correlation matrix, calculating statistics, and visualizing data are all typical tasks during the EDA phase, which helps inform later stages such as data preprocessing and feature engineering.