Professional statistical analysis for researchers, students, academic and healthcare institutions, businesses and NGOs, in SPSS, R, Python and Excel, from cleaning to reporting.
- IBM SPSS Statistics
- R
- Python
- STATA
- Microsoft Excel
- MySQL
- PostgreSQL
- CSV
Data is one of the most valuable resources for making decisions, but raw data alone is not enough. The right analysis turns complex datasets into meaningful insight, reliable findings and actionable recommendations.
We provide data and statistical analysis for researchers, students, academic institutions, healthcare organisations, businesses and NGOs, from data cleaning and descriptive statistics to advanced analysis, visualisation and reporting. It is the work our name comes from.
Data Analysis
Data cleaning & preparation
Accurate analysis starts with clean, properly structured data.
- Missing values, duplicates and outliers
- Variable recoding and labelling
- From surveys, questionnaires, databases and Excel
Descriptive statistics
A clear overview of your dataset, in tables, charts and reports.
- Frequencies, percentages, mean, median, mode
- Standard deviation, range, quartiles
- Cross-tabulation
Inferential statistics
Whether observed patterns or differences are statistically meaningful.
- t-tests, chi-square, ANOVA, ANCOVA, MANOVA
- Non-parametric tests
- Correlation: Pearson, Spearman, Kendall, partial
Regression analysis
Understand relationships between variables and make predictions.
- Simple and multiple linear regression
- Binary, multinomial and ordinal logistic
- Model diagnostics and interpretation
Survival analysis
Time-to-event outcomes in medical, clinical and public health research.
- Kaplan-Meier and log-rank tests
- Cox proportional hazards
- Hazard ratios and confidence intervals
Advanced statistical analysis
For complex research questions.
- Factor, PCA and cluster analysis
- Mixed-effects, repeated measures, time series
- Mediation, moderation and propensity score
SPSS, R, Python & Excel
Industry-standard tools chosen for each project.
- Complete analysis in IBM SPSS Statistics
- Reproducible analysis and large datasets in R and Python
- Excel pivots, dashboards and formulas
Visualisation & reporting
Results presented clearly and accurately, for a thesis, a paper or an institutional report.
- Bar, box, scatter, heatmap, Kaplan-Meier curves
- Methods, results, significance, effect sizes and interpretation
- Interactive dashboards
How we work
Understand the research question
Objectives, hypotheses, variables, study design and expected outcomes.
Review & prepare the data
Inspect the dataset, find issues, clean and prepare variables.
Select the methods
Statistical methods chosen for the question, variable types, assumptions and design.
Perform the analysis
The analysis, done with the appropriate tools and methods.
Validate the results
Assumptions and output reviewed for reliability and accuracy.
Interpret the findings
Statistical output translated into clear, understandable findings.
Tables & visualisations
Key results in professional tables, charts and figures.
Deliver the report
The final results and supporting files, to the agreed requirements.
Technology
Statistical tools
- IBM SPSS Statistics
- R
- Python
- STATA
- Microsoft Excel
Data & databases
- MySQL
- PostgreSQL
- CSV
- SQL
Visualisation
- ggplot2
- matplotlib
- Excel charts
- Dashboards
Why ANCOVA
Research-focused approach
We understand the research question before choosing a method.
Appropriate methods
We do not apply tests blindly; the method follows the data and the objective.
Clear interpretation
Explained so researchers, managers and decision-makers all understand.
Confidential data handling
Appropriate practices for protecting research and organisational data.
Flexible reporting
For a thesis, a paper, a presentation or an institutional report.
Who we serve
- Researchers and Master's/PhD students
- Medical & clinical research
- Universities & academic institutions
- Healthcare organisations
- NGOs: monitoring, evaluation & impact
- Business: customer, sales & market research
- Government agencies
- Consultants & research organisations
Frequently asked questions
The questions we hear most often.
Yes, that is our first step. From your research question, variables and design we recommend the right method and explain why.
Request a free consultation
A school, a hall, a research institute or a startup: tell us what you are aiming for and we will map the next step. We reply within 24 hours.