Data processing involves manipulating and transforming raw data to generate meaningful insights or facilitate analysis.

Data wrangling is the process of cleaning, structuring, and organising raw data to make it suitable for analysis.

A revision refers to the process of reviewing, editing, and making changes to figures/Analytics/reports previously created with the intention of improving it.

Correction refers to the action or process of identifying and rectifying errors, mistakes, or inaccuracies in  figures/Analytics/reports previously created to ensure accuracy, clarity, and completeness in the final version of the work.

ANOVA (Analysis of Variance) is a statistical method used to compare means across multiple groups to determine if there are significant differences.

ANACOVA (Analysis of Covariance) is a statistical technique that combines ANOVA and regression, allowing for the analysis of group differences while accounting for the influence of covariates

PCA is employed to analyze and reduce the dimensionality of multivariate ecological datasets, aiding in the identification of patterns, species associations, and environmental gradients while simplifying the interpretation of complex ecological relationships.

CCA (Canonical Correspondence Analysis) in ecology assesses and visualizes relationships between species abundance and environmental variables to reveal ecological patterns and environmental influences on community structure.

Dynamic Time Warping (DTW) is a method for measuring similarity between time series by dynamically aligning and warping sequences to account for variations in timing and speed and this very useful for qulitative time series analysis

A time series is a sequence of data points or observations collected or recorded over a time interval, typically at evenly spaced intervals, to represent and analyze variations or changes in a phenomenon over time

Biwavelet analysis is a technique extending wavelet transforms to bivariate signals, enabling the joint time-frequency analysis of two related signals and finding applications in fields such as geophysics and biomedical signal processing.

Multiple Regression Analysis is a statistical method used to examine the relationship between a dependent variable and two or more independent variables, allowing for the assessment of their combined effect on the dependent variable while controlling for each variable's individual impact.