Two Great Python Options for Visualising Geospatial Variation — Heatmaps, also known as Density Maps, are data visualizations that display the spatial distribution of a variable across a geographic area. They can be great tools for visualising and identifying trends, supporting decision-making, detecting outliers, and creating compelling visualisations for presentations. There are several mapping python libraries available, however, two…

Tools for Making it Easy to Select Colour Palettes for Data Visualisations — Sometimes the smallest of things can take a lot longer than we think. When building data visualisations, we will reach a point where we need to decide on a colour scheme — something that may seem simple but is very important and can either make your data visualisation flop or…

Easily Create Visually Appealing Circular Bar Plots in Python — 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…

An Introduction to the PyGWalker Library for Easy Data Visualisation — Creating effective and compelling data visualisations quickly and efficiently is a key part of the data science workflow. There are several options available to do this ranging from commercial software like Tableau to free alternatives like dedicated python libraries. The amount of skill and time needed to generate plots can…

Using the Python Streamlit Library to Track and Monitor Medium Statistics — I have been a writer on Medium for a while and recently started tracking my statistics using Excel. But, more recently, I have been thinking of building an app using Streamlit to provide a better experience. …

Creating Interactive Maps of UKCS Oil and Gas Field Outlines — Folium is an excellent python library that makes it easy to visualise geospatial data on interactive maps using the power of Leaflet.js. …

Leveraging the Power of AI Within Jupyter Notebooks — The interest in using the power of AI and large language models to create interactive chatbots like ChatGPT has exploded in recent months. It was only a matter of time before we could use the powers of these models directly from a Python library within a Jupyter Notebook. A recently…

Visualising Geospatial Data Within Streamlit — Streamlit provides a quick and easy way to build interactive applications and dashboards for data analysis and machine learning. If we are looking to build a data analysis app within Streamlit that uses data containing location information, one of the first visualisations we may want to consider adding is a…

Leverage the Power of Python to Explore and Understand Your Data — Ensuring data is of good quality before running machine learning models is essential. If we feed poor-quality data to these models, we may end up with unexpected or unintended consequences. However, carrying out the prep work on data and trying to understand what you have or don’t have is very…