This site is often under construction as it is used to expand my skills by exploring ideas and techniques for .NET, combining ASP.NET, Silverlight applications, web services, and a VB/C# desktop client to access selfsame web services.

Updates and Announcements


Developers in New York City by Zip Code

In 2016, after reading a Dice Insight article, I downloaded data that had technology professional numbers by zip code, along with density. A recent NY Times article How Big Tech Is Turning New York Into a Silicon Valley Rival prompted me to resurrect the data, decorate it a bit with neighborhood names, and then import it into Google Maps, which was surprisingly easy.

The original data is available in Excel.


Hofstede Dimensions and Coffee Consumption

Responding to a Treehugger article, Why Americans will never love tea as much as coffee, I initially wrote my personal preferences for tea and coffee, ending with, BTW, this has just given me an idea for comparing Hofstede's cultural dimensions and coffee and tea consumption. Afterward, I did some analysis in Excel, then ran the same processes in R using Visual Studio, then converted that to a Jupyter Notebook on Microsoft's Azure Notebooks.

Although this analysis is limited to 45 countries that have Hofstede's Cultural Dimensions, as well as per capita consumption for both coffee and tea, it would seem that coffee consumption correlates with power distance, individuality, and masculinity. Tea had small correlations with the dimensions and sometimes in the same direction as coffee. A fuller analysis is available on Microsoft's Azure Notebook, but some quick findings:
  • Higher power distance, lower coffee consumption: -.63
  • Higher individuality, higher coffee consumption: .61
  • Higher masculinity, lower coffee consumption: -.41
Limiting one's analysis to 21 highly-developed OECD countries, excluding Japan and Korea to reduce some effects of culture and economics, only the masculinity dimension retains its high inverse correlation with coffee consumption. Exploring another dimension within this set, the degree of Protestantism has an equally strong positive correlation, and the two dimensions are also strongly inversely correlated.
  • Higher masculinity, lower coffee consumption: -.60, p-value=.003831
  • Higher Protestantism, higher coffee consumption: .61, p-value=.003642
  • Higher Protestantism, lower masculinity: -.60, p-value=.003895
In general, one might say that collectivist, hierarchical, gender-traditional countries drink less coffee, but that might have more to do with history than an actual relationship, in that the older empires are both more traditional, while later developed countries are both highly Protestant and stronger consumers of coffee, and this latter aspect having to do with trade. As for individuals, I don't know it means much, as a real analysis covering many people might yield some insights on personality, rather than culture.