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數據資料競賽動畫實作-以COVID-19確診數為例

Bar Chart Race Animation - Using COVID-19 Confirmed Cases

摘要


如果您最近有閱讀最流行的數據可視化技術相關文章,則這些文章中肯定會包含長條圖競賽動畫。長條圖競賽動畫基本上是普通長條圖隨時間的演變。因此,您可以將長條圖競賽動畫視為時間序列長條圖。但是,是什麼讓它們如此受歡迎?長條圖競賽動畫受歡迎的主要原因是它的簡單性以及解釋可視化效果的容易程度。當對長條圖趨勢隨時間的變化進行動畫處理時,它將創建更加有趣的數據可視化。我們在此文中,便是通過長條圖競賽動畫,查看COVID-19確診病例的進展的實現,而藉以看到非常清晰的數據可視化效果。

並列摘要


If you read articles about the list of the most trending data visualization techniques out there, a bar chart race would definitely be included in those articles. A bar chart race is basically the evolution of an ordinary bar chart over time. So you can think of a bar chart race as a time series bar chart. But what makes them so popular? The main reason behind bar chart's popularity is its simplicity and how easy it is to interpret the visualization. When you animate the change of the bar chart trends over time, it creates an even more interesting data visualization. Would like to see an interesting visualization with a bar chart race? Check out the progression of COVID-19 Confirmed Cases in this paper.

並列關鍵字

COVID-19 data visualization bar chart race

參考文獻


Hows, D., Plugge, E., Membrey, P., Hawkins, T.(2013). The Definitive Guide to MongoDB, A complete guide to dealing with Big Data using MongoDB. Apress.
Phuong Vo.T.H., Martin Czygan, Ashish Kumar and Kirthi Raman.(2017). Python: Data Analytics and Visualization. Packt.
Igor Milovanovi, Dimitry Foures, Giuseppe Vettigli.(2015). Python Data Visualization Cookbook - Second Edition. Packt.
Hector Cuesta, Dr. Sampath Kumar.(2016). Practical Data Analysis - Second Edition. O'Reilly.
Chellappan, Subhashini, Ganesan, Dharanitharan.(2020). MongoDB Recipes. Apress.

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