In this tutorial, we explore how to use the ParseBench dataset to evaluate document parsing systems in a structured, practical way. We begin by loading the dataset directly from Hugging Face, ...

In the previous article, I introduced how to acquire stock price data using Google Colab. As a follow-up, let's use the acquired data to calculate representative technical indicators (Bollinger Bands ...

Minimalist plotting for Python, inspired by Edward Tufte’s principles of data visualization. Maximising the data–ink ratio: remove non-essential lines, marks, and colours. Content-driven spines and ...

The data used in this article is cited directly from the data provided in the textbook. For data with a small number of entries, we register the data in the code, and for data with a large number of ...

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 ...

Charty is open-source Ruby library for visualizing your data in a simple way. In Charty, you need to write very few lines of code for representing what you want to do ...

This chapter on performing univariate analysis in Python covers various techniques to analyze individual variables in a dataset. It includes methods such as histograms, boxplots, violin plots, summary ...

Data visualization is an essential tool in today's data-driven world, allowing us to present complex information in a clear and concise manner. Bar charts and histograms are two popular types of ...