Data Analysis
Data Analysis services within Modelling & Data, organised around the evidence, outputs and decisions described in the TESTDOG catalogue.
Modelling & Data
Data Analysis
Data Cleaning and StructuringData cleaning and structuring converts raw files into a traceable analysis-ready dataset without silently changing meaning. The…→Exploratory Data AnalysisExploratory data analysis describes distributions, missingness, outliers, group differences, and relationships before confirmatory…→Statistical AnalysisStatistical analysis selects a method that matches the design, distribution, dependence, sample size, and question. Effect sizes,…→Trend and Correlation ReviewTrend and correlation review examines direction, strength, nonlinearity, lag, confounding, and repeatability across variables or…→Batch ComparisonBatch comparison separates between-batch shifts from within-batch variability while respecting replicate, instrument, operator, and…→Failure Pattern ReviewFailure pattern review combines coded symptoms, location, time, operating conditions, images, and test results to identify recurring…→Measurement Uncertainty SupportMeasurement uncertainty support builds a transparent budget from repeatability, calibration, resolution, sampling, drift,…→Test Result InterpretationTest-result interpretation translates instrument outputs into method-aware conclusions, considering controls, sample history,…→Image Measurement SupportImage measurement support converts calibrated images into dimensions, counts, areas, shape descriptors, intensity metrics, or spatial…→Microscopy Data ReviewMicroscopy data review checks acquisition metadata, contrast, calibration, artefacts, representative fields, feature measurements,…→Signal ProcessingSignal processing conditions time-, frequency-, or spatial-domain signals while preserving traceability to the raw data. Filtering,…→Spectral Data ProcessingSpectral data processing covers calibration, alignment, baseline or background treatment, smoothing where justified, normalisation,…→Dashboard PreparationDashboard preparation turns a defined set of quality, test, process, or project metrics into an interactive, refreshable view with…→Machine Learning SupportMachine-learning support covers problem definition, data readiness, leakage control, feature engineering, train-validation-test…→Report Figures and TablesReport-figure and table preparation turns approved analyses into clear, consistent, accessible outputs with correct units,…→Workflow AutomationWorkflow automation replaces repetitive import, validation, calculation, plotting, and report steps with a versioned, testable…→
Not sure which route fits?