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:
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. linkedin spss: data visualizing and data wrangling
Whether you’re a student or a new analyst, combining data wrangling, thoughtful visualization, and a generous LinkedIn post can open doors you didn’t even know existed. And it all starts with a single, clean dataset. Last week, I faced 10K rows of chaos:
Emma had just landed her first data analyst role at a midsize retail company. She was excited—until her manager handed her a messy Excel file of customer feedback and said, “I need insights by Friday. Use whatever you want, but make it look professional. Oh, and post a summary on LinkedIn.” Data wrangling
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.
#SPSS #DataWrangling #DataVisualization #Analytics #EntryLevelAnalyst She added a carousel of her SPSS charts (exported via ), tagged her professor and college, and clicked post. The Unexpected Result Within 24 hours, her post got 5,000+ impressions. A senior data scientist from a tech company commented, “Love seeing SPSS get love for wrangling, not just stats. Small multiples for the win.” A recruiter messaged her about a senior analyst role.