Research Tools
Access a comprehensive collection of statistical tools, software, and resources to support your research and data analysis projects. From data visualization to advanced statistical analysis.
Research Tool Categories
Explore our comprehensive collection of research tools organized by functionality and purpose.
Statistical Analysis
Software and tools for descriptive and inferential statistical analysis
Browse Tools →Filter Research Tools
Find the right tools for your specific research needs.
Statistical Analysis Tools
NBS StatCalc
Web-based statistical calculator for common statistical tests and computations.
- Descriptive statistics
- Hypothesis testing
- Confidence intervals
- Sample size calculations
R Studio Server
Cloud-based R programming environment with pre-installed statistical packages.
- Full R programming environment
- Pre-installed statistical packages
- Access to NBS datasets
- Collaborative features
PSPP
Free alternative to SPSS for statistical analysis of sample data.
- SPSS-compatible interface
- Descriptive statistics
- T-tests, ANOVA, regression
- Non-parametric tests
Data Visualization Tools
NBS Data Visualizer
Interactive tool for creating charts and maps from NBS datasets.
- Pre-loaded NBS datasets
- Interactive charts and maps
- Export to multiple formats
- No programming required
QGIS
Open source geographic information system for spatial data analysis and mapping.
- Professional GIS capabilities
- Spatial analysis tools
- Map creation and layout
- Extensive plugin ecosystem
DataWrapper
Web-based tool for creating simple, embeddable charts for publications and websites.
- Easy chart creation
- Responsive design
- Embeddable charts
- No design skills needed
Research Workflow Guide
Follow this step-by-step workflow to effectively use research tools for your statistical analysis projects.
1. Define Research Question & Data Needs
Clearly articulate your research objectives and identify the data requirements.
Recommended Tools:
- Research Question Framework
- Data Requirements Checklist
- Sample Size Calculator
Key Questions:
- What is the primary research question?
- What variables are needed?
- What is the appropriate sample size?
2. Data Collection & Acquisition
Collect new data or access existing datasets from appropriate sources.
Recommended Tools:
- Survey Design Tools
- NBS Data Portals
- Data Request System
Key Activities:
- Design data collection instruments
- Access existing datasets
- Submit data requests if needed
3. Data Preparation & Cleaning
Prepare and clean your data for analysis, addressing missing values and inconsistencies.
Recommended Tools:
- OpenRefine
- R Studio (Data Cleaning Packages)
- Excel/Power Query
Key Activities:
- Data validation and cleaning
- Handling missing values
- Variable transformation
4. Statistical Analysis
Perform appropriate statistical analyses based on your research questions and data characteristics.
Recommended Tools:
- R Studio Server
- PSPP
- NBS StatCalc
Key Activities:
- Descriptive statistics
- Inferential testing
- Model building and validation
5. Visualization & Reporting
Create visualizations and reports to communicate your findings effectively.
Recommended Tools:
- NBS Data Visualizer
- DataWrapper
- QGIS (for maps)
Key Activities:
- Create charts and graphs
- Develop interactive dashboards
- Prepare final reports
Training & Technical Support
Get training and support to maximize your use of research tools.
Need technical assistance with research tools?
Contact Support Team