Using Plotly for Data Visualization

 


Using the given dataset, I went with Plotly to analyze the dataset as its simplicity to use and customization grabbed my attention. I have to say, after using it for a bit and playing around with it, Plotly is a very intuitive tool to have in the data science field. I used these two charts to compare the difference between part-to-whole charts and ranking charts. The ranking chart helped me visualize closely how each ID compared to the average position. By having them in an ascending order, we can see which ones are performing better relatively to others. This type of visualization is best put to use when comparing data within the same dataset. On the other hand, the part-to-whole chart shows how each ID contributes to the total average position. The main focus of this visualization is to show proportion and distribution. We can see how using the same dataset can be interpreted differently depending on which type of visualization we apply to it. 

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