I am at the data-analysis stage of my undergraduate thesis and need focused help with descriptive statistics. My dataset combines numeric and categorical variables, already compiled in Excel and accompanied by a simple codebook. What I expect from you: • Clean the raw data and flag any issues that might bias the results. • Run the full set of descriptive statistics—frequencies, percentages, means, medians, standard deviations, and cross-tabulations that answer my stated research questions. • Create clear visual summaries such as bar charts, pie charts, and histograms that I can drop straight into Chapter IV. • Provide a concise narrative (in Indonesian) that explains each table and figure in context with my methodology. Preferred tools are SPSS or R, but I am open if you work faster in Python or another equivalent platform. Deliverables include the cleaned dataset, the complete syntax/script so I can reproduce the work, all tables and figures in an editable format, and a 1-2-page interpretation document. Let me know your estimated turnaround time and share a brief example of similar analyses you’ve completed so I can gauge fit.