dataset explantion:Question 3 uses data from Movie Box Office Performance, different from the Iris dataset used in the tutorial. The following four columns in this dataset are the main factors to consider when exploring film success: Title, Budget - financial investment or production cost in millions of USD, BoxOffice - the total revenue generated in millions of USD, Genre - categorical film type. This non-tutorial data was selected because it examines a basic relationship between financial investment in a film and the eventual financial return on that investment. In mapping this data, the variable Budget will be assigned to the X-axis, BoxOffice to the Y-axis, while the Genre variable will color-differentiate the points. Chart analysis: The scatter plot visualizes the Movie Box Office Performance, basically by using Budget on the x-axis and Box Office on the Y-axis, differentiated by Genre which is color. This plot basically displays a high degree of the positive correlation: the bigger the budget, the better is the box office performance. Genre is a significant discriminator, wherein different movies fall distinctly on the chart. Forexample, Action movies (represented as blue) require the largest budgets and yield the highest revenues,clustering in the upper right. At the other extreme, Drama movies tend to have some of the smallest budgets and report the smallest revenues, falling in the lower-left section. In brief, this chart shows both the magnitude of financial investment and the genre of movie are the fundamental drivers of commercial success.