Data preparation
Practical use of R and RStudio to organise and prepare data for analysis and research tasks.
Applied Data Analysis — R & RStudio
R and RStudio Training for Caritas Germany
Practical R and RStudio training for Caritas Germany’s Afghanistan office in Kabul, building skills in data preparation, analysis, visualisation and research interpretation, with relevance to data-driven monitoring and evaluation.
Project Overview
Building the analytical skills behind better decisions
Daira Sabz delivered practical R and RStudio training for Caritas Germany’s Afghanistan office in Kabul. The assignment covered data preparation, analysis, visualisation and research applications, supporting staff in working more confidently with data.
These capabilities are relevant to data-driven monitoring and evaluation: organising programme information, exploring survey results, identifying patterns and communicating findings. The project demonstrates applied analytical capacity building and a foundation for further learning in data science, research and evidence-based programme management. Relevant Sustainable Development Goals — SDGs 4, 17. R and RStudio training for Caritas Germany developed practical data-analysis skills relevant to reproducible research, visualisation and evidence-informed monitoring and evaluation. This is thematic alignment with the documented assignment, not independently measured SDG outcomes.
- Project Title
- R and RStudio Training for Caritas Germany
- Location
- Kabul, Afghanistan
- Client / Partner
- Caritas Germany — Afghanistan office
- Sector
- Applied data analysis, research and capacity development
- Services Provided
- R/RStudio training; data preparation; analysis; visualisation; research applications
- Implemented By
- Daira Sabz Consulting and Engineering Group
Scope of Services
From data preparation to meaningful insight
The training focused on practical use of R and RStudio for organising, analysing and visualising data, with applications in research and organisational learning.
Analysis and visualisation
Explore data and present patterns through analytical outputs and visualisations.
Research interpretation
Connect analytical findings with research questions and clear communication of evidence.
Learning Approach
A practical analytical workflow
The learning pathway connected working with data, analysing patterns and communicating findings in a research context.
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01
Prepare the data
Begin with organising and preparing datasets within an R/RStudio workflow.
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02
Explore and analyse
Use practical analytical work to examine data and understand patterns.
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03
Interpret and communicate
Relate outputs to research questions and communicate findings in a useful form.
Practical Outputs
Applied training with relevance to data-driven work
- Practical R and RStudio training delivered for Caritas Germany’s Afghanistan office in Kabul.
- Training content covering data preparation, analysis, visualisation and research applications.
Why It Matters
Better data skills. Stronger evidence for programmes.
Data-driven monitoring and evaluation depends on the ability to prepare data, examine patterns and communicate findings clearly. R and RStudio skills provide a foundation for these tasks and for further learning in data science, helping teams make more informed use of programme and research information.
Relevant Expertise
Analytical capacity for research and evaluation teams
Daira Sabz provides similar services for:
- Development programmes, NGOs and research organisations
- Institutional monitoring, evaluation and learning teams
Our relevant services include:
- R/RStudio training, applied data analysis and visualisation
- Research capacity development and analytical support for data-driven monitoring and evaluation
Project Gallery
Applied data analysis during the training
Participants working with R in Kabul, a coding exercise and the supplied English-language data-analysis workflow.
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Build Your Team’s Data Skills
Turn your data into evidence people can use
Planning R/RStudio training, research-skills development or analytical support for monitoring and evaluation? Discuss your team’s experience, datasets and reporting needs with Daira Sabz so we can define a practical learning or analysis assignment.
