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Statistikr.net is a professional statistical consulting and R-based data analysis service provided by German statistical consultant Steffen Zittlau. It is positioned not as a standard SaaS platform, but as project-based support in the style of a “one-person Data Science team.” The website emphasizes medical statistics, clinical research, publication-oriented data analysis, and structured results reports with charts, tables, explanations, and commentary.
Its core capabilities are centered on R, covering data cleaning, statistical modeling, data visualization, automated reporting, simulation, web scraping, API/XML reading, and R Shiny interactive applications. In terms of methods, it mentions everything from chi-square tests, ANOVA, Kaplan-Meier analysis, and regression models to GLM/GLMM, multilevel models, Cox models, SEM, clustering, experimental design, sample size/power analysis, and machine learning. Services also include consulting on study design, survey and experimental design, as well as guidance for theses or empirical research.
The website does not disclose packages, pricing, billing methods, or delivery timelines, so quotes are more likely customized based on project requirements. The text mentions that sample reports can be requested and that a free initial consultation is available, which helps with early-stage evaluation. However, information typically required for enterprise procurement—such as SLAs, contracts, invoices, data processing agreements, and similar items—is not presented.
Its strength lies in its professional depth, making it especially suitable for research projects that require reproducible analysis in R, publication-quality academic charts, and statistical interpretation. Its background includes doctoral research, teaching, and extensive cross-disciplinary project experience. The downside is that it is not a self-service software product and lacks descriptions of common enterprise SaaS capabilities such as account systems, team permissions, audit logs, compliance certifications, deployment, and integration documentation.
It is better suited to clinical researchers, medical paper authors, master’s and PhD students, research institutions, and SMEs that need short-term external statistical expertise. It is not suitable for large enterprises looking to purchase a standardized BI/statistics SaaS product, a multi-user online collaboration platform, or a solution with strict compliance and audit requirements.
Based on the crawled text, it is not possible to determine its accessibility performance in mainland China, Chinese-language support, or payment methods. Actual access testing and email communication are recommended for confirmation.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on statistikr.net official site.
statistikr.net is an Germany API & Data provider. TG4G tracks its product information, an overall rating of 6.0/10, and a China-accessibility score of Workable. Click "Visit Official Site" to reach statistikr.net directly.