Dataset – Student & Early-Career Survey on Data-Analytics Tool Adoption and Decision-Making (Uzbekistan, Apr–May 2025)

<i>Purpose.</i> This dataset contains anonymised raw responses (n = 55, 31 variables) from a cross-sectional survey investigating factors that influence the adoption of data-analytics tools (Excel/Sheets, Power BI/Tableau, Python notebooks, Google Analytics) among graduate students and early-career professionals in Uzbekistan.<br><br><i>Instrument.</i> Items operationalise seven UTAUT/TAM-based constructs: Performance Expectancy, Effort Expectancy, Behavioural Intention, Familiarity &amp; Usage, Task–Technology Fit, Barriers to Adoption, plus Demographics (age, gender, study programme, prior stats courses, work experience). All Likert items use a five-point scale.<br><br><i>Collection &amp; cleaning.</i> Data were collected via Google Forms between 02 Apr 2025 and 22 Apr 2025 through university e-mail lists, Telegram study channels, and LinkedIn posts. Five partial records (&gt; 20 % missing) were removed; remaining open-text answers were lower-cased, spell-checked, and stemmed. The file is provided exactly as analysed in the accompanying thesis; no further processing (e.g., recoding) has been performed.<br><br><i>File contents.</i> <b>survey_responses.xlsx</b> – one worksheet (“Form Responses 1”) with 55 rows × 31 columns. Column A (“Timestamp”) shows submission time in UTC+5. Variable names follow the original question stems for transparency.<br><br><i>Ethics &amp; privacy.</i> All participants gave informed e-consent; no personal identifiers (names, e-mails, IPs) are included. Ethical approval: Silk Road University REC # 2025-DX-012.<br>