The Pine St. Inn is proposing to build supportive housing in L's neighborhood. L and her husband T have been to a few community meetings about it, and the public comments have been overwhelmingly negative. People said that: Supportive housing isn't needed in Boston. Anyone can buy a home through hard work and dedication. Supportive housing will bring down property values. The residents will commit crimes in the neighborhood. The residents have addiction issues and will bring drugs to the neighborhood. . . . . L and T are big fans of supportive housing. But our position is based on vibes, and not on data, so we weren't able to build a compelling enough story to convince the folks in the meeting. Requirement #1: Generate a Plot Use matplotlib to generate a plot that shows one of the datasets above, or part of one. The type of plot you choose (scatterplot, bar chart, line chart, etc.) should be appropriate to the data. It should have labels, a title, a legend if appropriate, and reasonable xlim/ylim values. It should be easy to follow and use colors that are not matplotlib's defaults. Requirement #2: Describe Your Plot Write a short paragraph describing what your plot shows and its relevance to this situation. This is where you need to make an argument -- how can your analysis of this data help the community make a decision about building supportive housing? You're making one argument about one dataset; it's not meant to be a complete picture of homelessness in Boston. Focus your description on what your plot shows and why it matters. If you feel like your argument needs more information and context, you can describe that too! Optionally, add a sentence to your paragraph describing what other data you would like to investigate that would support or contradict the argument you're starting with.