The Stack Overflow Developer Survey is “the largest and most comprehensive survey of software developers (and anyone else who codes!) on Earth.” In 2019, the survey received almost 90k responses from around the world.
What Kind of Analysis is Available?
The Big Data Ignite Research Council is excited to announce that it has worked with Stack Overflow to gain access to a custom non-publicly-available data set of responses to their 2019 Developer Survey. In particular, BDI’s data set includes non-publicly-available responses describing the respondents’ industry of employment and U.S. state of residence. It also includes a subset of relevant publicly-available 2019 survey responses, namely developer type and usage of databases, languages, platforms, development environments, web frameworks, and other frameworks, libraries, & tools.
This is exciting because it presents us with a unique opportunity to compare Michigan to other states and regions with respect to the prevalence of data & analytics jobs and usage of various data & analytics tools.
Get Access to the Results!
When you register for Big Data Ignite you will get access to our upcoming talk on our analysis of this data set at Big Data Ignite!
In particular, we plan to analyze this data set to better understand how Michigan compares to other states and regions. We will look at the data in terms of software developer (broadly defined) employment in areas related to data & analytics and data & analytics tool usage.
Based on this analysis, we hope to identify some implications for several relevant groups. Michigan software developers that work with data (e.g., analysts, data scientists, data engineers) may be interested to learn how they’re lagging or leading those from other states in the adoption of newer frameworks like TensorFlow or open-source databases like Apache Cassandra. Michigan organizations might be interested to see how Michigan compares in terms of usage of development environments like RStudio, both on R’s “home turf” of academia and within enterprises of various types. Big Data Ignite itself could identify opportunities to help Michigan developers and organizations grow in the usage of tools or techniques that seem to be gaining traction elsewhere and could add value here. We will welcome ideas for further analyses we might pursue in support of Big Data Ignite’s objectives.
What Would You Like to Know?
What questions do you have about the state of data & analytics in our state that this data set might help answer? How would you like to see us analyze this data to learn about data & analytics in Michigan relative to other regions?
Leave your comment below, or answer our survey on social media!