Editing Community Data Science Course (Spring 2023)/Week 7 coding challenges
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# 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. | # 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. | # 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 | # Show some parts of dataframe and make sure thing have worked. | ||
# Print out the number of rows and the number of columns to get a sense of how much data you're working with. | # Print out the number of rows and the number of columns to get a sense of how much data you're working with. | ||