ggplot2 Experts in Germany
in minutes from 15,000 CVs with the power of AIHire experts who turn raw R data into clear charts, dashboards, and publication-ready graphics with ggplot2, the Grammar of Graphics in R, plus tidyverse workflows and reporting for business and research teams. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Germany, who have recently used ggplot2
Michael Nelz
Last position:
Senior ML Engineer, AI Engineer at Lanxess AG
- Deployment and scaling of existing ML initiatives, including demand and cash flow forecasts.
- Building robust monitoring with mlflow for data stability, model performance, and drift detection, as well as implementing additional ML use cases.
- Further development of an Agentic AI chatbot for transparent and easy-to-understand model explanations.
Sebastian Dirndorfer
Last position:
Data Scientist at CLADE GmbH
- Designed and implemented a robust Python-based data processing framework that supported the transition from R to Python and significantly improved data science productivity by providing maintainable, standardized modules for frequently used workflows, following coding best practices and DevOps principles
- Evaluated, trained, and deployed machine learning models on cloud platforms and edge devices, enabling fully automated mid-infrared (MIR) data evaluation pipelines that eliminated manual analysis steps and significantly shortened the time from measurement to prediction for customers and internal stakeholders
- Analyzed and interpreted multivariate MIR spectral data from the company’s proprietary analyzer using R and Python, supporting reliable identification and quantitation of chemical compounds in solution
Ebenezer Ntiriakwa
Last position:
Applied Data Science & AI Bootcamp
- Prototyped LLM/RAG document assistant; trained transcriptomics and proteomic data; used Git/Docker for reproducibility.
- Strengthened ML fundamentals applicable to omics (feature engineering, validation, leakage control).
Stefan Linner
Last position:
Dashboard for Interactive Data Analysis at LennardtundBirner GmbH
Development & deployment of an interactive dashboard that allows users to select datasets for visual analysis.
The application supports filters, AI-based interpretations, and a chatbot for user interactions.
shiny, openai, mirai, plotly, mapgl, duckdb, AWS, ShinyProxy, Docker Swarm
Abhijith Sai Thirunahari
Last position:
AI and AWS Developer at FannieMae
- Architected end-to-end credit risk pipelines by orchestrating Airflow ETLs and training LSTMs/Transformers to predict default and prepayment speeds on MBS portfolios.
- Developed Deep Learning NLP solutions using BERT and LayoutLM for document processing, leveraging Transfer Learning and custom PyTorch loss functions to automate underwriting.
- Optimized R&D lifecycles through Bayesian tuning, Batch Normalization, and MLflow tracking to ensure robust model performance throughout volatile mortgage market cycles.
- Productionized scalable MLOps infrastructure via Docker and INT8 Quantization, deploying low-latency FastAPI microservices on AWS SageMaker with automated CI/CD pipelines.
- Ensured regulatory compliance by integrating SHAP/LIME for explainability and establishing real-time Data Drift monitoring to meet strict FHFA and Fair Lending standards.
Eyasu Habte
Last position:
Data Scientist at Deutsche Bundesbank
- Developed web scraping scripts to extract and parse over 5000 product data from the Zalando website.
- Performed ETL processes using Apache Spark in CDSW, loaded the data into the Hadoop ecosystem (HDFS), and managed data using Hive and Impala.
- Implemented machine learning algorithms, achieving 85–90% accuracy on multi-class product classification.
- Integrated Zalando's product and price data into the dashboard with Otto and Takko for interactive visuals.
Zakaria Bensmida
Last position:
Machine Learning / Software Developer at X-FAB Semiconductor Foundries GmbH
- Training Machine Learning models for different purposes.
- Programming with languages such as R and Python, depending on the project requirements.
- Develop, test, and maintain R shiny applications for semiconductor wafer fav production.
- Documentation of the code, project requirements, design decisions, and development processes.
- Perform integration testing, and debug to ensure software functions correctly.
- Coding, debugging, and ensuring quality standards for smooth operations.
- Deployment of Git and GitHub to manage changes and collaborate efficiently with fellow developers.
- Deployment of Docker and Jenkins for applications containerization.
- Staying updated on the latest tools, technologies, and best practices in software development.
- Providing back-up in MES (Manufacturing execution system).
- Getting involved in project management like task priority and project time lines.
- Maintaining and optimizing deployed Apps.
Eugene Tefong
Last position:
Freelancer at 3d-statistical-learning
- Data preparation and analysis of user behavior for targeted marketing strategies
- Development and implementation of machine learning models, B2C customer segmentation and cluster analysis with Python
- Use of openpyxl and pandas for efficient automation, cleaning and standardization of datasets
- Close collaboration with interdisciplinary teams to integrate data-driven insights; result: +15% increase in marketing efficiency through improved customer retention
- Technologies & Tools: Python (Pandas, NumPy, scikit-learn), SQL (SQLAlchemy), Jupyter Notebook, creation of analysis and result reports (PDF, Word, Excel)
Discover over 15,000 top freelancers
Statistics of experts using ggplot2
Aggregated from the professional profiles of matched freelancers.
Experience
9 years
Position duration
2 years
Positions per freelancer
5
Top business areas
Business Intelligence, Information Technology, Research and Development
Top industries
Education, Information Technology, Banking and Finance
Certification focus areas
Business Intelligence, Information Technology, Research and Development
Bachelor's degree or higher
100%
Master's degree or higher
88%
Doctorate
25%
Certifications per freelancer
4
Most common languages
German, English, French
Speak two or more languages
100%
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Germany are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Germany using ggplot2
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What it does
ggplot2 is the standard R library for building clear, layered charts from data. It follows the Grammar of Graphics, so specialists can combine data, geoms, scales, themes, and facets into consistent plots for analysis, reporting, and publication.
Common work
- Exploratory plots for data reviews
- Bar, line, scatter, and density charts
- Faceted views for comparing groups
- Styled graphics for reports and papers
- Reusable chart templates for R workflows
Ecosystem
Strong specialists work with tidyverse tools around ggplot2, including dplyr, tidyr, readr, and purrr. They also handle color scales, annotations, legends, themes, and export formats so charts fit notebooks, slides, dashboards, and print.
Why companies bring help
Teams often need freelance expertise when chart logic becomes complex, a report must be cleaned up fast, or an internal R codebase needs more structure. In Germany, this is common in consulting, research, finance, and industrial analytics where clear data storytelling matters.
What good specialists deliver
A strong ggplot2 professional writes readable plotting code, keeps mappings consistent, and knows when to simplify a graphic. They can debug broken aesthetic mappings, tune layouts, and choose the right geoms instead of forcing one chart style onto every dataset.
When it fits
Companies look for this expertise when they need visuals that are accurate, repeatable, and easy to maintain.
- Statistical reporting in R
- Reproducible analysis for teams
- Publication and slide graphics
- Custom plotting functions for shared use
- Cleaner handoff from analysis to presentation
Frequently asked questions
Not sure where to start with ggplot2? These answers cover the essentials.
ggplot2 is used to turn data in R into charts that are easy to read and easy to reproduce. It is common for exploratory analysis, reporting, research figures, and business visuals where the same plot style needs to be reused across many datasets.
ggplot2 gives specialists a layered, declarative way to build charts, while base R graphics are more immediate and procedural. For teams that need consistent styling, reusable code, and complex faceting, ggplot2 is usually the stronger choice.
A company should bring in ggplot2 expertise when charts need to be standardized, refactored, or delivered under time pressure. It is also useful when analysis work has grown into a shared reporting workflow and the code must stay readable for other R users.
A strong ggplot2 professional usually knows the tidyverse, especially dplyr and tidyr, plus data cleaning and basic statistical thinking. Familiarity with R Markdown, Quarto, and good theme design is also valuable when charts move into reports or presentations.
Yes. ggplot2 is widely used for publication-ready graphics because it offers fine control over labels, scales, facets, and themes. Specialists can adapt the same code for journals, slides, and internal documents without rebuilding the plot from scratch.
Not usually. ggplot2 work is often done remotely because the main inputs are data, code, and review notes, which travel well. On-site collaboration can still help when teams need faster feedback on reporting style, data definitions, or presentation goals.
Look for clear code, consistent use of mappings, and charts that communicate one idea without clutter. A good ggplot2 specialist explains design choices, handles edge cases in the data, and leaves behind code that another R user can maintain.
No. ggplot2 is an R implementation that follows the Grammar of Graphics. That is why searchers often use both terms, but the practical skill is the same: building layered, reusable charts from data in R.
The average hourly rate of freelancers in Germany who have used ggplot2 in their recent projects is 90 €, which corresponds to a daily rate of about 722 € based on an 8-hour working day.
Of the freelancers in Germany who have used ggplot2 in their recent projects, 100% hold at least a Bachelor's degree, 88% hold at least a Master's degree, and 25% hold a doctorate.
On average, freelancers in Germany who have used ggplot2 in their recent projects have 9 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers in Germany who have used ggplot2 in their recent projects are German (100%), English (100%), and French (38%).
The most common industries among freelancers in Germany who have used ggplot2 in their recent projects are Education (50%), Information Technology (50%), and Banking and Finance (38%).
The most common business areas among freelancers in Germany who have used ggplot2 in their recent projects are Business Intelligence (88%), Information Technology (75%), and Research and Development (63%).
Main locations of FRATCH Experts, who have recently used ggplot2
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
