Question

In this exercise, we shall visualize the data from the manufacturer's perspective through following four tasks" (POINTS: 40 - each task in this exercise carries 10 points) [Hint: Use the value_counts() and nlargest() functions in tendem to extract the series of top ten makers] ]: \#GIVE YOUR ANSWER FOR TASK-1 IN THIS CELL are rotated 90 degrees. Hint: Use the xticks.rotation( function for the label rotation. Use pyplot.show0 to avoid unwanted texts above the bar graph. \#GIVE YOUR ANSWER FOR TASK-2 IN THIS CELL Now we want to observe the sales (revenue) trend of the top two manufacturers through the following tasks. MSRP'. \#GIVE YOUR ANSWER FOR TASK-3 IN THIS CELL Note-1: To increase the line width of the line plot, use the argument Iw. For example: Iw =3. Note-2: To give your own labels for each color that corresponds to one of the 4 countries, use the argument label. For example: label = 'Tesla'.

Answer 1

The student is working on a task related to data visualization in Python, using functions from the pandas and matplotlib libraries.

Step-by-step explanation:

In this exercise, it seems that the student is working on a task related to data visualization in python. The tasks mentioned, such as visualizing data from the manufacturer's perspective and observing sales trends, suggest that the student is using data analysis techniques.

The specific functions mentioned, like value_counts() and nlargest(), indicate that the student is likely working with pandas and matplotlib libraries in Python. The student should follow the given hints and use these functions to extract and visualize the data.