Sequence the steps in EDA from the initial stage to the final stage:

Question

BlackTom AI · Accepted Answer

To analyze the question properly, I’ll evaluate what each option suggests as the sequence of steps in Exploratory Data Analysis (EDA) from start to finish.
Option a: 'Data gathering, data cleaning, data inspection, data analysis' aligns with the typical EDA workflow. First, you collect the data (data gathering), next you clean it to handle missing values and inconsistencies (data cleaning), then you inspect or explore the data to understand its structure and summary characteristics (data inspection), and finally you analyze the data to derive insights (data analysis). This sequence mirrors a logical progression from obtaining data to drawing conclusions.
Option b: 'Data modeling, data visualization, dimensionality reduction, data transformation' lists steps that are more characteristic of later stages in a data science pipeline or model-focused workflows. Data modeling is not an initial EDA step, and dimensionality reduction is usually an analysis or preprocessing technique used during or after initial exploration, not a prerequisite step in EDA order.
Option c: 'Data cleaning, hypothesis testing, data transformation, data visualization' starts with data cleaning, which can be a part of EDA, but jumping to hypothesis testing as an early step is not typical in EDA’s sequence. Hypothesis testing is more aligned with confirmatory analysis after some exploratory understanding, and data transformation and visualization often occur during exploration rather than after formal testing.
Option d: 'Data visualization, dimensionality reduction, data cleaning, pattern detection' places data visualization at the very front, which can be part of EDA, but starting with visualization without prior data cleaning or inspection can lead to misleading interpretations. Dimensionality reduction is a technique used during exploration, yet coupling it before proper cleaning and inspection can be premature. Additionally, 'pattern detection' is vague and not a clearly defined standard step in the early EDA sequence, making this order less conventional.
In summary, option a presents a clean, logical progression from gathering to cleaning to inspecting to analyzing—the core flow of EDA—while the other options mix techniques or reorder steps in ways that don’t reflect the typical initial-to-final progression of EDA activities.

Sequence the steps in EDA from the initial stage to the final stage:

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