Maximizing statistical power in hypothesis testing.
Read moreAuthor: echris
Design Census: Designing a Data Dictionary
Let’s be honest, data dictionaries are not something that comes up often in conversation. They just aren’t as interesting as[…]
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Nursing Homes in the U.S.: Where Do We Need To Improve?
This marks the first post in the Dataset of the Week series [github] – where I take a little time[…]
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Revisiting the uniqueness of my children
GitHub repo: https://github.com/TheeChris/babynames I decided to revisit this playful analysis of my kids’ names using data from the Social Security[…]
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Adding An Environment to Jupyter Notebooks
This is a code snippet to allow you to use a Python environment within a Jupyter Notebook on Windows. conda[…]
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Turning a PDF into a Pandas DataFrame
While looking for some specific NYC school information, the only source I could originally find was in the form of[…]
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Weekend Reading #10: Successful analyses, education in Chicago
What is a Successful Analysis? (Roger Peng, simplystats) The question of success in data analysis seems pretty straightforward until you[…]
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Weekend Reading #9: impostor syndrome and hypothesis testing
Foot-candles: the different paths to tech (Alice Goldfuss) This article spoke to me and I had to re-ignite the weekend reading[…]
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Calculating the uniqueness and average age of my children
About six months ago I took a deep dive into becoming a data scientist. Since then, I have been wanting[…]
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Changing How We Land to Reduce ACL Injury Risk Factors
Source: Shimokochi, Y., Ambegaonkar, J.P., Meyer, E.G. (2016). Changing Saggital-Plane Landing Styles to Modulate Impact and Tibiofemoral Force Magnitude and[…]
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