Data visualization is a powerful tool that enables us to extract insights from large datasets, understand complex relationships between variables, and communicate results in a clear and compelling way. One particularly useful type of visualization for exploring data distributions is the ridge plot, which displays the density of data along a single axis.
Bar charts are one of the most common and versatile data visualization tools used by developers, analysts, and decision-makers across industries. They are especially useful when you want to compare and display a large amount of data quickly and clearly. By organizing data into easily distinguishable vertical bars, bar charts can convey information quickly and effectively, making them a popular choice for presenting data in reports, dashboards, and presentations.
Weather has a significant impact on our daily lives, from deciding what to wear to planning outdoor activities. Understanding weather patterns and trends can be crucial in making informed decisions. In this blog post, we will explore a weather dataset and create visualizations to better understand the types of weather and their trends over time. The original idea came to my mind while I was reading an article (Practice perfect) of the The Plot newsletter. The article was about describing whatever you're trying to show clearly in one sentence. The author created a visualization illustrating her fitness routine in 2022. The visualization caught my eyes instantaneously as it was quite beautiful. I got inspired by that and decided to create a similar visualization. However, I didn't have fitness data, therefore I chose weather data instead.