Tools to Help You Create Effective and Compelling Data Visualisations — Creating effective data visualisations is essential for any data scientist, geoscientist or petrophysicist. By learning these skills, we can ensure that we can get across our research and analysis results to our intended audience. By understanding our audience, we can tweak the charts and the messages accordingly, for example, we…

An Easy and Quick Way to Understand Your Geological Hierarchical Data with Python — Data visualisation plays a vital role in the geoscience and data science domains. It can allow us to gain deeper insights into the subsurface, understanding geological structures and hierarchical relationships. The subsurface is often subdivided into different categories ranging from the most extensive scope of geological time, such as Eras…

Working With Geoscience and Petrophysical Data File Formats — Within the geoscience disciplines of the oil and gas industry, various formats are used to store well logging and petrophysical data. Two of the most common formats are LAS files and DLIS files. LAS files are flat ASCII files that can easily be read using any text editor, whereas DLIS…

Examples of Improving Charts Created With Matplotlib — Creating effective data visualisations is a critical skill within many disciplines, be it business analysis, data science or geoscience. Aesthetically pleasing and easy-to-understand data visualisations can help spark ideas in our target audience or get them to take action based on the information we display. Within the Python world, there…

Instantly Transform Your Matplotlib Figures With a Few Lines of Python Code — When writing articles for publication in academic journals, the layout and style of the figures are expected to conform to a predefined format. This ensures consistency across all of that publication's articles and that any included figures are high quality when printed. Python is widely used within the scientific community…

Working with Pandas and dlisio to Explore Well Log Data — DLIS files are a standard oil and gas industry data format. They are structured binary files that contain tables of well information, tool information and well logging data. They are much more complex and harder to open compared to flat LAS (Log ASCII Standard) files. …

Geological Lithology Variations Within The Zechstein Group of the Norwegian Continental Shelf — Creating exciting and compelling data visualisations is essential to working with data and being a data scientist. It allows us to provide information to readers in a concise form that helps the reader(s) understand data without them having to view the raw data values. Additionally, we can use charts and…

Exploring lithology variations within the Zechstein Group of the Norwegian Continental Shelf — Using data aggregation techniques can help us transform an overwhelming and almost incomprehensible numeric dataset into something that is easily digestible and much more reader-friendly. The process of data aggregation involves summarising multiple data points into single metrics that can be used to provide a high-level overview of the data.

A simple tutorial on how to enhance your Seaborn violin plots with ease — Violin plots are a common data visualisation that combines the power of a boxplot and a density plot into a single plot. This allows us to visualise more information within a single figure. For example, we can view the basic statistics from the boxplot, identify possible outliers, and view the…