After following the tutorial posted by the professor, I learned that OpenRefine is a really useful program that does a good job of making things easier for one to understand a dataset that can contain almost endless amounts of information. Being able to collapse hundreds if not thousands of data points into categories that can be easier to digest is an almost invaluable advantage to have. The function of facets in OpenRefine can do this task by separating things into almost any category imaginable including alphabet, count, etc. It is also extremely convenient it can detect and correct things that are obviously meant to be the same thing, but are differentiated by slight human error such as slight spelling or capitalization issues.<\/p>\n
Although our dataset and its subcategories are quantifiable like every other dataset out there, our topic doesn’t really pose many numerical questions that can be solved by quantities. I hope by using OpenRefine and generating several categories we can find the best approach as a team to create the best representation of the answers to our questions.<\/p>\n
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