Data analysis
Data analysis, visualisation, and statistics
I have extensive experience inputting data, assessing data quality, investigating trends, peforming complex statistical analyses, and producing clear and engaging data visuals using software such as R, Excel, SPSS and PRIMER.
Below is a simple example in Excel. The data show the incredible signficance of the global seaweed farming indsutry. Seaweed accounts for over 60 % of all the seafood we farm in the world! However, due to its low retail value, it only accounts for around
23 % of the value. Nonetheless, production of seaweed has increased 10,000 % since 1950.
Now, with its wide array of industrial purposes, and emphasis being placed on global food secruity and blue carbon, seaweed farming is expected to undergo even more rapid growth over the next two decades.
The example below is a bit more complex, and was created using the coding software R. The figure shows a multiple non-linear regression where seaweeds in a controlled aquarium were exposed to three different sources of nitrogen (ie. the three panels) at different concentrations (ie. the x-axis) and two different temperatures (i.e. the two different coloured lines). We wanted to see how this would affect the seaweed's nitrogen isotope compositon (ie. the y-axis). The full paper is available here.