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Community Data Science Course (Spring 2023)/Week 7 coding challenges
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== Getting started with pandas and Seattle "complaint" data == # Go to [https://data.seattle.gov data.seattle.gov] and download [https://data.seattle.gov/Community/Code-Complaints-and-Violations/ez4a-iug7 the dataset on code complaints and violations]. (It is, by the way, also available in an API!) In this case, just go to Export→CSV and download the file. It should be about 80 megabytes. # As is always the case, spend some time poking around the website and reading documentation to get a sense of what kind of data this is, where it coming from, who generated it, and so on. # Put the CSV file into a directory and create a new Jupyter notebook in the same directory (remember that it is comma-separated, not tab-separated). Load that into Python as a pandas DataFrame. # Show some parts of the dataframe and make sure your load command worked. # Print out the number of rows and the number of columns to get a sense of how much data you're working with.
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