Descriptive Statistics
Frequencies, percentages, mean, median, standard deviation and data summaries.
DATA ANALYSIS & STATISTICS
Turn Research Data Into Clear Evidence.
Get structured data preparation, statistical analysis, visualisation and research-focused interpretation for dissertations, theses, projects and academic studies.
✓ Quantitative
✓ Qualitative
✓ Mixed Methods
RESEARCH ANALYTICS
Analysis Flow
DATA
INSIGHT
METHOD
Statistical
OUTPUT
Research Ready
FROM DATA TO FINDINGS
Analysis should answer the research question.
We organise raw datasets, select suitable analytical approaches and help present findings in a form that fits the research objective. The exact statistical method depends on the research design, variables, sample and study requirements.
OUR ANALYSIS PIPELINE
A structured route from dataset to interpretation.
Every research dataset needs a clear analytical direction. We organise the process into practical stages so that preparation, analysis and interpretation remain connected to the study objective.
01
START
Data Preparation
Organise the dataset, review variables, check coding and prepare the data for the selected analytical approach.
02
REVIEW
Data Exploration
Examine distributions, frequencies, summaries and patterns to understand the structure of the dataset.
03
ANALYSE
Statistical Analysis
Apply suitable analytical techniques according to the research question, variables and study design.
04
RESULT
Interpretation
Convert analytical results into clear tables, figures and research-focused explanations.
ANALYSIS AREAS
Choose the analysis your study needs.
Research projects can require different analytical approaches. We help organise the workflow around the available data and stated research objectives.
Discuss your requirements →Inferential Statistics
Analysis approaches for examining relationships, differences and hypotheses.
Regression Analysis
Model-based analysis for studying relationships between relevant variables.
Correlation Analysis
Explore associations between variables with appropriate statistical techniques.
Qualitative Analysis
Theme-based organisation and interpretation of interview, textual or qualitative data.
Visualisation
Tables, charts and figures designed to make important findings easier to understand.
TOOLS & PLATFORMS
Analysis support across familiar research tools.
Depending on the project, analysis may involve statistical software, spreadsheets or programming environments.
SPSS
Statistical Analysis
R
Statistical Computing
Python
Data Analysis
Excel
Data Preparation
Stata
Research Statistics
NVivo
Qualitative Research
RESEARCH OUTPUT
From statistical results to research-ready outputs.
Analysis becomes useful when the results can be read, compared and connected with the research objective. We help organise analytical findings into clear academic outputs.
01
CORE OUTPUT
Variable
Mean
SD
Variable A
4.28
0.84
Variable B
3.91
0.72
Variable C
4.53
0.66
Statistical Tables
Structured tables can make numerical findings easier to review and reference within a thesis, dissertation or research report.
02
VISUAL
◒
Charts & Figures
Clear visual presentation of comparisons, patterns, distributions and important observations.
03
RESULT
Σ
Statistical Results
Results are organised according to the selected analytical method and research objectives.
04
INSIGHT
↗
Research Interpretation
Findings are explained in a way that connects the analysis with the context of the research.
05
REPORT
▦
Report-Ready Format
Tables, figures and analytical findings can be organised for academic reporting and documentation.
QUALITY CHECK
Before analysis, check the foundation.
Good analysis depends on the quality and structure of the underlying dataset and on alignment with the research question.
01
Research Question
Is the analysis aligned with the objective?
02
Variables
Are variables correctly identified and organised?
03
Data Quality
Are missing, inconsistent or unusual values reviewed?
04
Reporting
Are tables, figures and results presented clearly?
READY TO ANALYSE?
Have a dataset but don't know where to start?
Share your research objective and dataset details. Our team can help you understand the appropriate analysis workflow for your project.