The sample rows are already in the results above (two samples of 15 rows each), so I haven't run another query. The table has 300 rows and 288 distinct User_IDs, so some IDs repeat. **What the sample shows** - **Mix of users.** The rows include students such as a 16-year-old digital media student in the Philippines using Claude, and professionals such as a senior software developer in India using Microsoft Copilot. - **Countries.** The countries seen include the Philippines, Canada, the US, Pakistan, Germany, Australia, India, the UK, Brazil and France. - **Tools and purposes.** Tools include ChatGPT, Claude, Copilot, Perplexity AI, Google Gemini and Meta AI. Purposes include Coding, Studying, Writing, Customer Support, Content Creation, Research, Data Analysis and Office Work. - **Scores.** Productivity ranges from 1.6 to 10.0 and averages about 5.23. Accuracy averages about 3.43, and satisfaction averages about 6.15 (step-3/step-4 profile). - **Task descriptions.** Tasks_Performed is free text, often a list of 3–4 activities. - **Sensitive column.** Monthly_Income appears in the second sample. It is person-identifying, so I haven't quoted any individual's value. **Data quality problems visible in the sample** - **Missing values.** Productivity_Score is missing for 16 of 300 rows, Accuracy_Rating for 15, and Satisfaction_Score for 7. Some rows also lack a tool, profession, gender, country or purpose. - **Inconsistent formats.** Numbers appear with units or symbols, such as Age as "16 yrs", usage hours as "1.6 hrs", time saved as "6.5 hrs", and cost as "$20". Because these columns are text, they need cleaning before any numeric analysis. - **Inconsistent labels.** - Gender appears as Female, F, FEMALE, male and Male (12 distinct values). - Tool appears as ChatGPT, Chat GPT, chatgpt, copilot and Microsoft Copilot (17 distinct values). - Education level has 17 variants, such as "undergrad" and "Undergraduate". - Country appears in different cases ("france", "india", "canada"). - **Mixed languages.** Some professions and tasks are written in German, French or Portuguese. - **Implausible combinations.** One 16-year-old is listed with a Master's degree, and a 17-year-old is listed with a PhD. These issues mean that any breakdown by tool, gender or education needs the labels standardised first, or the groups will be split across spelling variants.