Data Analysis & Statistical Analysis Services
Transform raw datasets into mathematically validated findings. From econometric models to doctoral survey analysis, we ensure every statistical test is executed with total precision.
Advanced Quantitative Capabilities & Tooling
Our team works across Python, R, SPSS, Stata, SmartPLS, and SAS. Every project delivers fully documented syntax and code notebooks alongside plain-English executive summaries.
Data Cleaning, Hygiene & Imputation
Systematic screening for outliers, multicollinearity, skewness, missing value imputation, and verification of normality assumptions.
Survey & Questionnaire Data Analysis
Cross-tabulation, sample weighting, non-response bias testing, Likert-scale transformation, and categorical data modeling.
Descriptive & Inferential Statistics
Mean, median, variance, standard deviations, paired/independent t-tests, ANOVA, MANOVA, and chi-square tests with effect sizes.
Correlation & Multivariate Regression
Ordinary Least Squares (OLS), binary/multinomial logistic regression, hierarchical linear modeling, and time-series forecasting.
Structural Equation Modeling & Factor Analysis
Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Partial Least Squares SEM (PLS-SEM) for multi-construct frameworks.
Visualisation & Interactive Dashboards
Custom executive charts, distribution plots, correlation heatmaps, and interactive PowerBI/Tableau/Web dashboards.
Statistical Deliverables Package
We never just hand over a pile of numbers. We provide complete reproducibility, transparent code, and clear narrative interpretation.
- Cleaned & Imputed Dataset: Formatted files in CSV, Excel, SPSS (.sav), or R (.RData) with detailed variable labels.
- Statistical Findings Report (PDF): Publication-ready APA 7th edition tables, path diagrams, effect size diagnostics, and hypothesis conclusions.
- Documented Code & Syntax Notebook: Fully commented scripts in R (.Rmd), Python (.ipynb), or SPSS (.sps) ensuring complete reproducibility.
- Analyst Briefing Walkthrough: 45-minute live consultation reviewing all mathematical outputs so you understand every p-value and coefficient.
Multivariate Clustering of 250,000 Retail Transactions
Cleaned and segmented transactional point-of-sale data for an FMCG retail conglomerate. Applied K-Means silhouette clustering and market basket association rules (Apriori), uncovering 4 high-margin consumer cohorts driving 68% of cumulative net profit.