Data Analysis Lab

Data analysis in SPSS, R, and Python, clean results, clear interpretation, publish-ready outputs.

We help you move from messy datasets to reliable statistical results, including cleaning, correct test selection, modeling, and publication-quality tables and figures.

3-Step Workflow

From dataset to final report

Transparent steps, reproducible work, and clean reporting.

Step 1

Statistical Plan

We review your variables and question to recommend the correct tests and outputs.

You share dataset + variables list + research question
We confirm feasibility + test plan + deliverables
Deliverable: short plan + quote

Step 2

Cleaning & Analysis

We prepare your dataset and run the correct analyses with transparent assumptions.

Cleaning, recoding, missing/outlier rules
Assumption checks + correct test selection
Models (regression, repeated, survival) as needed

Step 3

Reporting & Visualization

You receive clear outputs that fit manuscripts, theses, and presentations.

Publication-ready figures + tables
Interpretation support (research writing style)
Reproducible scripts (R/Python) if requested

Service Menu

Data Analysis Services (SPSS, R, and Python)

Choose what you need, we will recommend the correct statistical approach.

Service

Statistical Analysis for Research Studies

Descriptive stats, assumptions, correct tests, regression, repeated measures, survival (when applicable).

Best for: Thesis, papers, clinical/biotech datasets, experiments.

Service

Data Cleaning and Preparation

Import, structuring, labeling/recoding, missing rules, outlier checks, analysis-ready datasets.

Best for: Messy Excel/CSV/SPSS files, survey exports, multi-sheet datasets.

Service

Advanced Analytics & Multivariate Methods

PCA/factor, clustering, reliability/scale validation, mixed models, time series.

Best for: Questionnaires, complex designs, longitudinal & trend datasets.

Service

Visualization & Reporting

Publication-quality figures, clear charts, manuscript-ready tables, interpretation support.

Best for: Paper submission, thesis defense, reports, presentations.

Deliverables

What You Receive

Clean data, correct tests, clear reporting, and publication-ready outputs.

✓ Clean dataset (analysis-ready + publication-ready)
✓ Transparent missing/outlier handling rules
✓ Assumption checks + correct test selection notes
✓ Results tables formatted for thesis/manuscript
✓ Publication-quality charts (comparisons, trends, distributions, relationships)
✓ Interpretation support (research writing style)
✓ Reproducible R/Python scripts

Premium Differentiator

Transparent Reporting Guarantee

You receive a clear plan (assumptions → tests → outputs), clean datasets, and well-labeled tables/figures so your results are easy to audit and defend.

Tools used

We can work in the platform you prefer.

SPSS R Python Excel JASP

Document