The 15-row sample from step 0 (Monthly_Income excluded) is the representative sample. It covers both user types, 9 AI purposes and many tools and countries. **What the sample shows** - **Students and professionals:** Students range from high-school to PhD level, for example a 16-year-old digital media student and a 17-year-old environmental science student. Professionals include a content strategist, a customer-support manager and a senior software developer. - **Tools and purposes:** The rows include ChatGPT, Claude, Microsoft Copilot, Perplexity AI, Google Gemini and Meta AI. Purposes include Coding, Studying, Writing, Research, Content Creation and Customer Support. - **Countries:** The Philippines, Canada, the US, Pakistan, Germany, Australia, India and the UK all appear. - **Free-text fields:** `Tasks_Performed` is a long free-text list, and some professions are in other languages (for example a German-language customer-support title). - **Scores:** Productivity, accuracy and satisfaction sit on different scales. Productivity runs 1.6–10.0 and averages 5.23, accuracy averages 3.43, and satisfaction averages 6.15 (step-3). **Data-quality issues visible in the sample** - **Duplicate users:** There are 300 rows but only 288 distinct `User_ID`s (step-1). A duplicated `User_ID` such as U0207 turns up in separate pulls. - **Inconsistent labels:** `Gender` has 12 variants, such as Male, male, MALE, M and F, plus 10 blanks (step-7). `AI_Tool` has 17 labels, with "Chat GPT", "chatgpt" and "copilot" alongside the clean names, and `Education_Level` also has 17 (e.g. "undergrad" vs "Undergraduate"). - **Mixed units in numeric text columns:** Values like "1.6 hrs", "6.5 hrs", "$20" and "16 yrs" appear in columns that should be numeric, so they need cleaning before aggregation. - **Missing values:** Productivity is null in 16 rows (284 of 300 non-null), accuracy in 15 and satisfaction in 7. Some rows have a blank tool, purpose, country, profession or education level. `Monthly_Income` is person-identifying, so I have not quoted individual values. I can aggregate it by group if you want. Tell me if you want a sample filtered to a segment, such as professionals only or a single tool, or a cleaned and de-duplicated version.