And Data Wrangling — Linkedin Spss: Data Visualizing

Her favorite find: the option in Chart Builder, which created small multiples—one chart per region, side by side. Instantly, she saw that the West region loved electronics but hated clothing returns. Step 3: The LinkedIn Post On Friday, Emma presented a clean dashboard of charts to her manager, who was impressed. “Now write that LinkedIn post,” he reminded her.

Pro tip: Use Edit > Options > Charts to set colorblind-friendly palettes before you start. Your audience will thank you. linkedin spss: data visualizing and data wrangling

Emma opened LinkedIn and typed: 🛠️

That evening, she opened SPSS and stared at the dataset: 10,000 rows, missing values, inconsistent date formats, and duplicate customer IDs. Her first instinct was to panic. Instead, she remembered a phrase from her favorite professor: “Clean data is the difference between a story and a lie.” Emma started with the basics. She used Transform > Recode into Different Variables to fix the messy date column. For missing values, she ran Transform > Replace Missing Values , choosing “Series Mean” for numeric feedback scores. Duplicates were handled with Data > Identify Duplicate Cases , keeping only the first entry per customer. Her favorite find: the option in Chart Builder,

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: “Now write that LinkedIn post,” he reminded her