Select the most complete steps in the exploratory analysis workflow (note some items are only one component of a step)

Question

BlackTom AI · Accepted Answer

The prompt asks you to select the most complete steps in the exploratory analysis workflow, noting that some items may be components of a broader step. Here, the provided data shows an answer field containing a single option: "Preparation, analysis, reflection, dissemination", but the answer_options field is empty, leaving no distinct choices to evaluate.

Analyzing the single given option, we can assess its completeness in the context of an exploratory data analysis (EDA) workflow. Preparation is indeed a foundational stage, often including problem formulation, data understanding, and planning. However, EDA typically encompasses additional crucial activities such as data collection or data acquisition, data cleaning and preprocessing, and initial data exploration to identify patterns, anomalies, and relationships. The term "analysis" is broad and could cover several sub-steps (descriptive statistics, visualizations, and initial modeling), but without explicit sub-items, it remains vague.

The terms "reflection" and "dissemination" correspond to evaluation and communication phases, respectively, which are important for ensuring insights are validated and shared. Yet, in a thorough EDA workflow, you would usually expect explicit emphasis on iterative exploration, hypothesis generation and testing, validation, and often documentation or reproducibility practices during or after analysis, before dissemination. Additionally, there is often an explicit step for data cleaning and preparation, feature engineering, and exploratory visualization throughout the process.

Given that the answer_options are missing, we cannot compare multiple candidate sequences or determine a truly most complete set. If we consider typical comprehensive EDA workflows, a more complete sequence might include steps such as: data collection/acquisition, data cleaning/preprocessing, exploratory data analysis (descriptive statistics and visual exploration), hypothesis generation and testing, iterative refinement, interpretation/reflection, and dissemination/communication, with proper documentation at each stage.

In summary, the single provided option—"Preparation, analysis, reflection, dissemination"—captures some essential stages but omits key components (like data collection/acquisition, cleaning, preprocessing, and iterative exploration) that are commonly regarded as integral to a complete exploratory analysis workflow. The absence of multiple answer choices makes it impossible to definitively identify the most complete option among alternatives, and the given sequence appears incomplete relative to standard EDA practice.

DATA2001 DATA2901 (ND) Week 02 Quiz

Select the most complete steps in the exploratory analysis workflow (note some items are only one component of a step)

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