Data visualization is a powerful tool for communicating complex information quickly and effectively. However, it's also prone to logical reasoning errors, which can mislead or confuse the audience.

Purposely or by accident, unfortunately, data visualizations these days are riddled with errors, mistakes, and bloopers. This was the topic of Yogi Schulz’s Analytics Unleashed 2021 presentation.

This project focuses on visualizing employee records data using Microsoft Excel. The dataset provided is a sample, representing a comprehensive range of employee information across several key metrics ...

Data Visualization using Chart UI (with Dynamic Charting) - mini sample This mini project offers basic data visualization of global development trends. Explore life expectancy, population, and GDP per ...

While we (the authors) do not endorse any specific data visualization software, we used Tableau to create these sample data visualizations to show specific capabilities that may be useful for audit ...

As explained in this Edraw article, every data visual has one of the five key objectives—distribution, composition, relationship, trend and comparison. • Distribution: The visuals show how ...

Saying it should have been a line chart forgets two important aspects of communication which are sometimes as important as complying with the “rules” of data visualization.

This foundation ensures you can quickly start organizing your data and preparing it for visualization. How to Create Charts in Notion Creating charts in Notion involves organizing your data and ...