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As a data scientist student, first we have experienced to do scatter plot with the given data, and then we enhance it through histogram with a attractive plot and finally we had make a plot with highest-level of API visualization .

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By using plotly, there is provided an attractive and interactive data visualization view in the plot. It provides an attractive plot that can ensure the user can easily get the information of the data.

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By using Plotly Library, we founded that using Plotly is more interactive. As we can point our cursor to the certain value, then it will shows the exact value at that point or shifting our cursor in the map will show us the country along with the data it has. It's more dynamic compared to our previous experience using panda and Seaborn. In Plotly graph we can even zoom in and zoom out the graph to be able to see the detail.

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To display our data in an extraordinary fashion we Use Plotly.
Plotly is the Python Library for interactive data visualizations and it is insanely powerful at explaining and exploring data. It allow us to interact with graphs on display, allowing for a better storytelling experience like zooming in and out, point value display and etc.

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We discovered that using the Plotly Library is more interactive. If we move our cursor over a given value, it will show us the exact value at that location, or if we shift our cursor over the map, it will show us the country and the data it contains. In comparison to our past experience with Panda and Seaborn, it's more active.

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Before this, we using seaborn and pandas that have no moving parts But from plotly, we can fully interactive with visualization.

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We feel that plotly is extremely attractive and more useful than in pandas or seaborn.