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Last week, I faced 10K rows of chaos: missing values, duplicate IDs, and inconsistent dates. Here’s my 3-step SPSS workflow for data wrangling + visualizing:

Visualizing and wrangling data in bridges the gap between basic spreadsheets and complex programming languages like Python or R. 1. Data Wrangling: The "80% Rule"

On Friday, Emma presented a clean dashboard of charts to her manager, who was impressed. “Now write that LinkedIn post,” he reminded her.

Data wrangling—the process of cleaning, structuring, and enriching data—is frequently cited by experts as the most time-consuming part of any project, often accounting for . In SPSS, this involves:

If you are writing the paper yourself, ensure you highlight these distinctions:

Defining variable labels and value labels to ensure the data is human-readable.