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Jul 22, 2022 · Data Visualisation is a key part of the data storytelling journey. Not every chart needs to hit gold or showcase groundbreaking insight, but these ones I’ve hunted…oh boy are they something...

Jun 25, 2020 · Well-designed charts and other forms of data visualization can pack a more powerful punch than words alone. But poorly-designed charts—even those that are made with the best intentions—can ...

Jan 6, 2024 · Misleading statistics are numerical figures presented in a way that inaccurately portrays data, often to deceive, influence opinions, or support a biased argument. They may involve manipulating data, cherry-picking information, or using flawed research methods.

Our cross-sectional analysis shows there was no substantial improvement in statistical reporting and data presentation in the four years after publication of this editorial advice. Our results confirm that the quality of statistical reporting is generally poor.

Jan 28, 2021 · When generating data visualizations, it can be easy to make mistakes that lead to faulty interpretation, especially if you’re just starting out. Below are five common mistakes you should be aware of and some examples that illustrate them. 1. …

May 17, 2023 · There are several ways in which misleading graphs can be generated. Let me show the most popular misleading graphs and how anyone can easily identify those! Look at the graph at the top created by...

There are lots of different ways to present your data to the public — from publishing raw datasets with stories, to creating beautiful visualizations and interactive web applications. We asked leading data journalists for tips on how to present data to the public.

Jul 21, 2023 · Unintuitive data presentation techniques can hinder the effectiveness of data visualization. Using unconventional visual metaphors without considering their familiarity to the target...

Three-dimensional (3D) data visualizations may look visually appealing, but they often make it more difficult to interpret the data and spot patterns within them. Two common issues are: distortion and occlusion.

In this guide, we’re going to look at the good, the bad, and the ugly data visualization examples to help you along the way. Example 1: A typical PowerPoint presentation displaying graphs and some bullet points for talking points.