This article uses a graph to show the number of deaths caused by the coronavirus with a daily update. This piece of data visualization is clear and concise, and it represents the data in a very easy to understand way. Clarity is essential so that all types of readers can easily understand the daily amount of tests done, the number of people tested, the number of people who tested positive for COVID-19, and the amount of deaths on an everyday scale.
This article used a line graph to show the steady increase in deaths caused by the coronavirus in the US. This piece of data visualization is at the top of the article so that even if the reader is too lazy to read the entire article, they get the gist of what the article will be going in-depth about in a quick amount of time with accuracy and numbers. The line graph is very clear, the important information is in red, and the most crucial information is in a large font and bolded. These techniques draw the reader’s eye to the essential information first and quickly and is an excellent way to begin an article that’s covering such an important topic.
This article on the growth of the hair care market has many different types of data visualization present. It begins with a bar graph that simply shows a snapshot of the market and how it is projected to increase between now (2020) to 2025. Underneath the bar graph, there is a chart that states the fastest growing market, the largest growing market, the base year, and the study period in which the growth of the hair market is referred to. All this information is at the top of the article and very quickly gives the reader an outlook into the growth of the hair industry and what is to come.