Question: 1. Load the provided Cars.csv file into a DataFrame named df. Display the first 10 rows of the DataFrame to understand its structure. [5 Marks]

1. Load the provided \"Cars.csv\" file into a DataFrame named \"df\". Display the first 10 rows of the DataFrame to understand its structure. [5 Marks] 2. Find the basic descriptive statistics using the .describe( ) method to get the mean, minimum, maximum, and standard deviation of the numeric columns. [2.5 Marks] 3. Calculate the median of MPG and Weight using appropriate Pandas methods. [2.5 Marks] 4. Analysing Relationships between columns: 4.1 Create a scatter plot with MPG on the y-axis and Weight on the x-axis. Label the axes and add a meaningful title to the plot. [5 Marks] 4.2 Write a short paragraph (3-5 lines) describing the relationship between MPG and Weight based on the plot. [2.5 Marks] (Hint: Does it seem like heavier cars tend to have lower fuel efficiency?)

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