Then came the trickier part: creating a new “Customer Sentiment” variable from open-ended text responses. She used to turn categories (“very unhappy” to “very happy”) into numbers 1–5. A quick Frequencies check showed the distribution looked plausible.
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: linkedin spss: data visualizing and data wrangling
Emma froze. She knew SPSS from college, but mostly for running t-tests and ANOVAs. Data wrangling? Visualizing for a business audience? And posting about it on LinkedIn? That felt like three different jobs. Then came the trickier part: creating a new