Interesting observations about Julia language google trends time series

I might conclude that it isn’t on too much of a downward trend just yet, but the tools used were a bit crusty
Or, on average over a given three months, approx 5% of the amount it jumps around translates to an increase, if that’s a sensible metric

  • balanced as in the centroids are roughly proportionate, or have a similar weight / number of units per group
  • season-length would be like seasonal data augmentation, so allowing overlapped offsets of 13 week sequences (~5x13 > 52x13)

Code for a couple of k-means variants, balanced (as above, prefix zl_) and balanced + floating (prefix zf_) which was the alg used