Data visualization is the art of presenting information graphically to facilitate understanding. It involves using various charts and graphs to represent data trends, patterns, and relationships.

Previously, I created a quiz focused on data visualization best practices. This second quiz, however, is centered around 10 basic to more advanced issues encountered at every stage of data journalism.

Data visualization helps highlight what’s most important by removing the noise in a dataset and distilling it into a format that’s easier to understand. Data visualization is an essential part of the ...

In today’s Data Storytelling Visualization journey, we learn to avoid making the same mistakes as the past; not every graph/chart needs to highlight groundbreaking insights, and we must deal with the ...

Data Visualization: An introduction. Welcome to part one of a multi part series on data visualization. This video will provide an introductory overview of data visualization, and how to use it to tell ...

The dashboard should include at least three types of data visualization components (e.g., bar chart, line chart, and pie chart). The goal is to demonstrate proficiency in data handling, DOM ...

📊 Data Visualization with Bar Charts in Python. This repository provides a comprehensive practical guide to creating various types of bar charts using Python and Matplotlib. It includes step-by-step ...

Learn how to prepare for data visualization questions in an interview or a project with these tips and strategies. Improve your skills and confidence with data visualization.