Data Cleaning, Processing & Preparation Services
Reliable analysis starts with reliable data. We clean, structure and prepare messy datasets so they are ready for statistical, qualitative or dashboard work, with every change documented. Once your data is ready, continue with statistical analysis, survey data analysis or business intelligence dashboards.
From raw data to analysis-ready datasets
Data Cleaning
Finding and resolving duplicates, inconsistencies, formatting problems and obvious errors in your dataset.
Missing Data & Outlier Handling
Assessing patterns of missing values and extreme cases, and applying appropriate, documented treatments. Free tool: standard deviation calculator for spotting extreme values.
Coding, Recoding & Variable Creation
Coding open-ended responses, recoding variables, computing scales and indices, and labelling data clearly.
Data Entry & Digitisation
Converting paper forms, scans and unstructured files into clean, structured datasets.
Merging & Restructuring Datasets
Combining files from different sources and reshaping data between wide and long formats.
Data Validation & Quality Checks
Consistency and range checks that confirm your data is accurate and complete before analysis.
Codebooks & Documentation
A clear record of variables, labels and every change made, so your work is transparent and repeatable.
File Format Conversion
Moving data between Excel, CSV, SPSS, STATA, R and Python formats without losing labels or structure.
Data preparation FAQs
Will you change my original data?
No. We work on a copy and keep your original file untouched. Every change is recorded so you can see exactly what was done.
How do you handle missing values?
We first examine the pattern and extent of missing data, then recommend an appropriate treatment and agree it with you before applying it.
What formats can you work with?
Excel, CSV, SPSS, STATA, R and Python data files, and exports from common survey and data collection tools.
Is my data kept confidential?
We treat your data as confidential and use it only for your project. If you have specific data-protection requirements, please raise them in the first discussion.
Ready to discuss your project?
Share your objectives and your data, and we will suggest a suitable approach and the next steps.