I will do data analysis and visualization using r and python

Yes, absolutely. Every package includes fully documented, readable source code (R scripts, R Markdown, Python scripts, or Jupyter Notebooks) so you can verify, reproduce, or build upon the analysis later.

No. The only help I can offer you for this kind of tasks is Tutoring and Support. Any kind of cheating is forbidden within this platform.

Yes! Many scientific and business projects require unique approaches. Send me a brief message detailing your goals and dataset, and I will generate a tailored Custom Offer specifically for your project scope.

Yes. I can customize figure dimensions, resolution (300+ DPI), color profiles (RGB/CMYK), and formatting styles to adhere strictly to guidelines from publishers like IEEE, Nature, Elsevier, APA, or custom brand style guides.

Your data security is paramount. I never share, publish, or re-use client datasets. If required, I am happy to sign a Non-Disclosure Agreement (NDA) before you send the files over.

I accept almost any data format, including CSV, Excel (.xlsx), JSON, SQL database exports, SPSS (.sav), Stata (.dta), SAS, or native RData files.

Basic data cleaning is included in all packages. However, if your data requires deep manual restructuring, OCR from scanned documents, or extensive web scraping, we can easily add a data preparation extra to the order.