Hacking the Data Science Radar with Data Science

This post was first published by original author Duncan Garmonsway and reproduced with his kind permission. This post reverse-engineers the Mango Solutions Data Science Radar using Programming (R) Visualisation (ggplot2) Data wrangling (dpylr/tidyr/etc.) Modelling (lm) Technology (embedded V8 javascript) Communication (blog) Why hack? Because getting at the innards also reveals What a good score is in each category Which statements are most important Whether scores are comparable across people Whether you should strongly agree with the statement “On average, I spend at least 25% of my time manipulating data into analysis-ready formats” The radar Based on Likert-style responses to 24 provocative statements, the Data Science Radar visualises your skills along six axes, the “core attributes of a contemporary ‘Data Scientist’.” It looks like this. Mango Solutions Data Science Radar First…


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