Examtopics

コメント(3)

• 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.

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  dehkon2024/11/07
• 正解だと思う選択肢: C

  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.

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  Moon2024/12/31
• 正解だと思う選択肢: C

  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.

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  Jessiii2025/02/11