Blog Archives

11,264 Regressions in One Tidy Plot

11,264 Regressions in One Tidy Plot

Following up on a recent blog article that discussed how to use R to explore your researcher degrees of freedom, this post introduces a specification curve plot as suggested in Simonsohn, Simmons and Nelson. With this plot, you can eyeball how various researcher degrees of freedom affect your main outcome of interest. In a recent post, I introduced my in-development...

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Customize Your Interactive EDA: Explore the Fuel Economy of the U.S. Car Market

Customize Your Interactive EDA: Explore the Fuel Economy of the U.S. Car Market

Interactive EDA is nice but customized interactive EDA is even nicer. To celebrate the new CRAN version of my ‘ExPanDaR’ package I prepare a customized variant of ‘ExPanD’ to explore the U.S. EPA data on fuel economy. Our objective is to develop an interactive display that guides the reader on how to explore the fuel economy data in an...

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Customize Your Interactive EDA: Explore the Fuel Economy of the U.S. Car Market

Customize Your Interactive EDA: Explore the Fuel Economy of the U.S. Car Market

Interactive EDA is nice but customized interactive EDA is even nicer. To celebrate the new CRAN version of my ‘ExPanDaR’ package I prepare a customized variant of ‘ExPanD’ to explore the U.S. EPA data on fuel economy. Our objective is to develop an interactive display that guides the reader on how to explore the fuel economy data in an...

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A Shiny Classroom Experiment with Real-Time Results Presentation

A Shiny Classroom Experiment with Real-Time Results Presentation

Overview Today, I used a shiny app to run a classroom experiment in the first class of my introductory cost accounting course. I uploaded code, data and materials to github so that everybody can reuse it to construct similar experiments and, of cou...

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Explore your Researcher Degrees of Freedom

Explore your Researcher Degrees of Freedom

I am an applied economist working in the area of accounting and corporate transparency. I work with observational data a lot, meaning with data that is already available and not under my control. Whenever I set sails to design a test, there are a lot of decisions to take: Which sample should I use? What is the appropriate time...

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German Female Corporate Officers: Where Are You?

German Female Corporate Officers: Where Are You?

Last week, the German NGO Open Knowledge Foundation Deutschland e.V. has made German Trade Resister data available via the project OffeneRegister.de, together with the British NGO opencorporates. In my last blog post I checked the general accessibility of the data. In this quick follow-up post I follow an idea inspired by a tweet by Johannes Filter to map the...

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German Female Corporate Officers: Where Are You?

German Female Corporate Officers: Where Are You?

Last week, the German NGO Open Knowledge Foundation Deutschland e.V. has made German Trade Resister data available via the project OffeneRegister.de, together with the British NGO opencorporates. In my last blog post I checked the general accessibility of the data. In this quick follow-up post I follow an idea inspired by a tweet by Johannes Filter to map the...

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Where the German Companies Are

Where the German Companies Are

Last week, the German NGO Open Knowledge Foundation Deutschland e.V. has made German Trade Resister data available via the project OffeneRegister.de, together with the British NGO opencorporates. While the data from German Trade Resister is publicly available in principle, retrieving the data is a case-by-case activity and is very cumbersome (try for yourself if you like). The data provided...

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Should Old Acquaintance be Forgot: Tidying up Mac Mail

Should Old Acquaintance be Forgot: Tidying up Mac Mail

As the year is closing down, why not spend some of the free time to explore your email data using R and the tidyverse? When I learned that Mac OS Mail stores its internal data in a SQLite database file I was hooked. A quick dive in your email archive might uncover some of your old acquaintances. Let’s take...

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Interactive panel EDA with 3 lines of code

Interactive panel EDA with 3 lines of code

Exploratory data analysis is important, everybody knows that. With R, it is also easy. Below you see three lines of code that allow you to interactively explore the Preston Curve, the prominent association of country level real income per capita with life expectancy. install.packages("ExPanDaR") library(ExPanDaR) wb

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