python-- (product weight inventory.py ): Generate a scatterplot of product weight versus inventory. The purpose of this plot is to analyze whether there is a relationship between product weights and inventory. Develop a 'plot product weight inventory' function that accepts one argument, which is the imported 'products' variable from the 'catalog.py' file. This function should calculate the weight of each product and the asso- ciated product inventory. Then, generate a scatterplot of the data with the weights on the x-axis and the associated inventory on the y-axis. Same as before, add proper title and axis labels. Also, since there are many points on the plot, use a proper marker type to ensure most points are visible.

Computer Networking: A Top-Down Approach (7th Edition)
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python-- ( product weight inventory.py ): Generate a scatterplot of product weight versus inventory. The
purpose of this plot is to analyze whether there is a relationship between product weights and inventory.
Develop a 'plot product weight inventory' function that accepts one argument, which is the imported
'products' variable from the 'catalog.py' file. This function should calculate the weight of each product
and the asso- ciated product inventory. Then, generate a scatterplot of the data with the weights on the
x-axis and the associated inventory on the y-axis. Same as before, add proper title and axis labels.
Also, since there are many points on the plot, use a proper marker type to ensure most points are
visible.
Transcribed Image Text:python-- ( product weight inventory.py ): Generate a scatterplot of product weight versus inventory. The purpose of this plot is to analyze whether there is a relationship between product weights and inventory. Develop a 'plot product weight inventory' function that accepts one argument, which is the imported 'products' variable from the 'catalog.py' file. This function should calculate the weight of each product and the asso- ciated product inventory. Then, generate a scatterplot of the data with the weights on the x-axis and the associated inventory on the y-axis. Same as before, add proper title and axis labels. Also, since there are many points on the plot, use a proper marker type to ensure most points are visible.
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