Bartosz Niemirka
UX/UI Tailor of information.
Sharing passion for transforming raw data into a bespoke BI solutions.
Charts are often seen as the gold standard for data visualization. They are visually appealing, intuitive, and easy to interpret at a glance. Meanwhile, tables are sometimes dismissed as dense, dull, and overwhelming. But is this perception fair? This article challenges the notion that tables are less valuable than charts and highlights their unique strengths in data analysis.
Welcome to Source of Knowledge (SOK), a series where I share a variety of materials to help you grow in the fields of UI/UX and BI. While preparing this series, I saw it as a great opportunity to read some classics I’ve never had time for. This pilot post features the well-known book “Storytelling with Data,” which I first read after 13 years of experience in the field, and I found it still very insightful.
“Dummy data” refers to anonymized or randomized information used in designs instead of actual data. In graphic design, this is often called “lorem ipsum”. The similarities between “dummy data” and “lorem ipsum” extend beyond their use cases and also relate to common fallacies.
The following list highlights three problems related to dummy data and provides rapid solutions for each.