Matplotlib mistakes often come from poor layout, unclear labels, and wrong scale choices, not from the data itself. Clear plotting improves when scatter plots and large datasets are simplified for ...

This repository contains the topics that were taught in the coursera course Applied Plotting, Charting & Data Representation in Python, it contains the assignments as well. These topics and ...

OncoPrint, the plot to visualize an overview of genetic variants in sequencing data, has been widely used in the field of cancer genomics. However, still, there have been no Python libraries capable ...

A set of functions has been developed to simplify the generation of plots, which are at the heart of making comparisons between the computation results and the experimental data. The functions are ...

Data analysis is an integral part of modern data-driven decision-making, encompassing a broad array of techniques and tools to process, visualize, and interpret data. Python, a versatile programming ...

There are no further sessions taking place this academic year. Course dates for 2025-26 will be available to book from late September. Python can be used to analyse or create large datasets.

Data visualization is the art of organizing and presenting data visually compellingly. It makes it easier for anyone—regardless of their technical background—to interpret patterns, trends, and ...