Setting up Python
Python is a versatile programming language used for a range of applications, including web development, data analysis, artificial intelligence, and scientific computing. To work effectively with...
View ArticleSetting up R
R is a free available programming language for statistical analysis, computing and producing data visualizations. To use R as part of this course you’ll need to install ‘base R’ and R studio. Base R...
View ArticleModule 2 Released: An Introduction to R for Policy Analysis
Dear all, This is just a quick post to let you know that module 2 of ‘An Introduction to R for Policy Analysis‘ is now available for those enrolled in the course. While Module 1 was meant to help you...
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An Introduction to R for Policy Analysis: Module 4 Released
Module 4: “Data Cleaning” has just been released. While Module 3 explored how to import, explore, and summarize data using packages from the tidyverse, Module 4 covers the principles of cleaning and...
View ArticleAn Introduction to R for Policy Analysis: Final Modules Released
The final two modules are now available for ‘An Introduction to R for Policy Analysis’. Module 5: Data Visualization and Storytelling Module five is all about applying the principles of effective data...
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Analyzing Driver License Suspensions with R
Summary: In this guest post, Brian A Mikelbank, Associate Professor of Urban Studies at Cleveland State University, shares how he used R to explore the likely causes of license suspensions in Ohio,...
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Identifying data gaps with R
Summary: In this post, Giles outlines a simple approach that can be used to identify potential ‘data gaps’ using R. Data gaps are assumed to denote the difference between the data required to achieve...
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Becoming a master-chef: the logic of programming
Summary: In this post, Giles explains the logic behind using code to achieve a set of analysis tasks with a focus on the R programming language. I’d spent quite a bit of time working with data before...
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