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# Loading and visualizing data | ||
Load and visualize a dataset of interest, either from [NYC Open Data](https://opendata.cityofnewyork.us/) or elsewhere. (If you already have an idea of what your final project topic will be, this would be a good opportunity to get a head start on that). | ||
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Explore its metadata and attributes, and hone in on one or two attributes in particular of interest. Provide explanation (numeric, graphical, textual) of what the attribute can and cannot tell us. Save the dataset out to the file format of your choice (but know why you chose that format). | ||
Load and visualize a dataset of interest, either from [NYC Open Data](https://opendata.cityofnewyork.us/) or elsewhere. (If you already have an idea of what your final colloquium project topic will be, this would be a good opportunity to get a head start on that). | ||
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Explore its metadata and attributes, and hone in on one or two attributes in particular of interest. Make map and non-map visualizations that explore these attributes. Provide in-line notes that describe your thought process in choosing which attributes to visualize, and what they mean. Provide explanation (numeric, graphical, textual) of what the attribute can and cannot tell us. Save the dataset out to the file format of your choice (but be able to explain why you chose that format). |
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