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wgs102.org | ||
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jhublogs.wordpress.com
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| | | | | During the fall semester I came across the concept of specifications grading. We had a faculty member interested in trying it out, and another professor who was already using a version of it in his courses. For today's post, I'd like to give an overview of specifications grading with resources to turn to for more... | |
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papercoach.net
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| | | | | Discover the most fitting topics for your capstone project. Choose the best topic and write your paper easily and quickly. If you have any problems this type writing, our teachers will be happy to help you. | |
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research.google
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| | | | | Posted by Liang-Chieh Chen and Yukun Zhu, Software Engineers, Google ResearchSemantic image segmentation, the task of assigning a semantic label, s... | |
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kieranhealy.org
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| | | With the 2020 U.S. Census in motion already, I've been looking at various pieces of data from the Census Bureau. I decided I wanted to draw some population pyramids for the U.S. over as long a time series as I could. What's needed for that are tables for, say, as many years as possible that show the number of males and females alive at every year of age from zero to the highest age you're willing to track. This sort of data is available on the Census website. But it tuned out to be somewhat tedious to assemble into a single usable series. (Perhaps it's available in an easy-to-digest form elsewhere, but I couldn't find it.) I initially worked with a couple of the excellent R packages that talk to the Census API (tidycensus and censusapi), hoping they'd give me what I needed. But in the end I wrangled an annual year-of-age series from 1900 to 2019 by grabbing the data from the Census and cleaning it myself. As always, 95% of data analysis is in fact data acquisition and data cleaning. | ||
