ChatGPT’s Code Interpreter, now renamed to Advanced Data Analytics, has been out for some time now. It was launched on July 6th 2023, and is a plugin developed by OpenAI to allow users to upload data and perform analysis on it. This can range from cleaning the data, creating visualisations and summarising the data. Rather than
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 files are structured binary files containing tables of information about
Creating compelling data visualisations is essential for any data scientist, geoscientist or petrophysicist. By learning these skills, we can ensure that we can convey 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 could have a more simplified and artistic chart
Radial bar charts are a visually attractive alternative to traditional bar charts. Data are plotted on a polar coordinate system instead of the conventional cartesian coordinate system. This allows the bars to be represented by rings rather than as vertical bars. Radial bar charts can make a great and visually appealing graphic to include in
Pie charts are a commonly used, easy to create circular graphic for visualising the relative sizes of different categories that contribute to a whole. Each slice within the pie chart represents a category, and its size is relative to its contribution. They are useful visualisations when dealing with a limited number of categories. Even though
Learning DIY skills and carrying out home renovation projects has piqued my interest in the last few months. Perhaps it’s from all of the TikTok videos I watch of people remodelling and renovating their houses. So to get in the mindset, I have decided to use Notion for home renovation and DIY projects by building
Pandas is a powerful Python library commonly used within data science. It allows you to load and manipulate datasets from a variety of sources and is often one of the first libraries you come across in your data science journey. When working with pandas, the default options will be suitable for the majority of people. However, there may
Pandas is a powerful and versatile Python library for data science. It is often one of the first libraries you come across when learning how to use Python for data science applications. It can be used to load data, visualise it and manipulate it to suit the objectives of the project you are working on. However,
k-Nearest Neighbors (kNN) is a popular non-parametric supervised machine learning algorithm that can be applied to both classification and regression-based problems. It is easy to implement in Python and easy to understand which makes it a great algorithm to start learning about when you start your machine-learning journey. Within this article, we will cover how
When working with well log measurements and subsurface data we are often dealing with different file formats and sample rates. For instance, well log measurements are typically stored and transferred within .las files or dlis files and sampled every 0.1m or 0.5ft. Geological formation tops on the other hand are single discrete depth points. This requires interpolation