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This project aims to Analyze Box Office Data using different Visualization tools such as Matplotlib, Seaborn, Plotly using Python. As we know that the Revenue generated by a Movie is important. There ...

Once you've created an interactive plot, you might want to share it with others. Plotly allows you to save your plots as HTML files using the pyo.plot() function with the filename parameter. These ...

The next plot is the 3D Surface plot and for that, we need to create some data using pandas as you see in the following: You should get something like: Now let’s throw this on a 3d chart using ...

A box-plot is a visualization technique that indicates the outliers in the data and this is the standardized way of displaying our data based on outliers, Outliers are nothing but the values away from ...

To generate your first interactive plot with Bokeh, create a new Python script and import necessary components from Bokeh. Define your data sources and create a new plot using the figure function.

Sometimes I have to write stuff so I won’t forget how to do it. This is one of those times. In my recent post on the angular size of a soccer goal, I created a contour plot. Despite what you ...

Built on top of the popular JavaScript library plotly.js, it is an excellent tool for creating visually stunning and dynamic charts. Features: Offers over 40 different chart types, including scatter ...