- Pythostabilization
- grass_plot
- Compochar
Visualisations are an important part of data processing which functions can be to bring direct and clear impressions about certain insights contained within the unsorted or unstructured data, to give a wider overview of the information, particularly when the data is big (too many entries or too many variables), or to represent the results of processing the data, such as statistical analysis. Unfortunately, when a scientific paper is accepted in a per-review journal, the available space is too small for the amount of data that a researcher can generate. More and more journals are promoting and encouraging authors to add visualisations as a complement to the limited capacity of a single scientific paper. The idea of creating this repository is to have a space where I can show all the data that is generated through my research.
My PhD. in environmental geo-sciences took me to produce several data sets with fair amounts of entries, but large amounts of variables. Due to the multidisciplinarity of the topic, I have to work with chemical, ecological, biological, environmental and geological variables. The results generated by such research are always useful and interesting, however a visualisation can make the difference between having impact or not. Here I try to represent the data generated by my research increasing its visual value and simplifying the language in a way that any person with no knowledge on the topic should be able to understand.
On the other hand, the software intended to created data visualisations
is growing in a way that it starts becoming difficult to choose one tool
among so many. Different companies hiring data analysts demand skills with
different programs (SAP, Matlab, Power BI, tableau, etc.) and it is just
impossible to master them all. With this repository I will also try to
show the advantages of using programming languages such as R and
python for data visualisation, its simplicity and its scopes. Thus, the
increasing amount of data available on the web it’s also used with the
same purposes of showing inputs contained within data sets.
Due to the limitations and capacity of GitHub, the raw data is not stored here. However, if your interest for some specific data set grows while browsing this site, feel free to contact me and I can share it.