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I've got the following data from pkgstats and I would like to get a sole value for each browser to sort them by which one has gained or lost more popularity lately. The popularity for the recent months is in the later values.
I think the way to express this is if there are a slow moving average and a fast moving average which fast MA has deviated more from it's slow MA.
Which trending algorithm could I use for this? I've found this one but it doesn't seem to fit this use case.
The program that I used to get the data is here.
[{firefox [78.71 78.86 78.29 76.1 74.39 73.86 74.6 79.24 80.33 80.29 81.9 82.09 82.4 82.73 82.71 82.41 83.22 83.8 83.89 83.67 83.37 82.51 81.98 79.97 80.56 81.1 80.68 80.73 81.04 81.32 81.35 82.39 81.99 81.16 81.3 80.56 81.23 80.9 79.56 79.84 79.63 78.05 77.14 76.71 76.97 77.81 77.96 77.72 78.31 78.91 80.16 79.82 78.92 78.88 78.37 78.49 78.62 78.94 78.71 78.74 78.86 79.5 79.63 78.23 78.02 76.97 76.04 76.57 76.53 75.77 74.82 74.05 74.06 72.98 72.71 71.85 71.73 72.77 72.36 72.11 73.54 73.95 73.67 73.31 73.68 72.49 72.89 75.92 74.37 75.25 76.1 75.12 75.12 74.56 74.2 74.87 75.14 75.6 75.32 75.88]} {chromium [51.33 52.09 51.09 51.62 52.62 52.02 54.5 54.92 53.26 54.65 55.46 58.93 59.04 59.56 59.76 56.6 56.99 56.54 57.39 56.21 56.4 56.46 56.6 58.29 58.3 58.58 58.8 60.35 60.77 60.24 59.72 61.05 61.12 60.53 60.2 59.36 59.81 59.66 59.41 59.03 58.85 58.92 57.85 59.15 57.3 56.88 55.98 56.46 56.51 57.52 58.58 57.82 57.92 57.34 57.09 55.97 56.37 56.25 55.36 56.27 56.18 56.91 58.31 57.51 58.24 58.17 57.57 57.55 57.28 57.17 56.89 57.04 55.24 55.23 55.53 54.94 55.26 56.64 56.59 56.96 57.11 57.78 57.76 56.88 56.67 56.46 55.73 57.63 56.46 55.88 54.31 55.22 55.1 54.69 54.12 54.41 54.31 53.22 53.24 52.94]} {google-chrome [3.63 2.02 1.94 2.15 2.24 2.4 2.48 2.67 2.49 2.63 2.67 3.05 2.93 2.89 4.17 7.7 8.32 9.66 8.02 9.79 9.46 9.66 8.98 7.03 8.04 8.62 9.23 8.06 8.27 8.6 8.72 8.31 8.39 8.32 9.06 9.69 9.4 9.38 9.09 8.86 9.12 9.95 11.2 11.26 13.22 14.16 14.23 14.88 16.74 17.26 18.08 18.7 18.73 19.69 20.8 21.19 21.82 22.66 21.88 22.44 22.96 22.53 23.02 22.86 22.29 22.89 22.86 22.69 23.38 23.12 23.98 24.73 24.55 24 23.43 23.75 24.09 24.32 25.17 25.26 26.43 26.5 26.44 27.59 27.56 26.94 27.23 27.58 26.85 27.37 27.15 26.41 25.51 26.1 25.66 25.45 25.51 25.22 25.43 26.21]} {epiphany [23.54 24.07 28.13 27.46 28.65 29.09 27.93 27.49 28.94 27.07 27.8 26.93 27.52 28.55 29.24 27.87 28.02 28.13 27.1 27.95 27.26 27.09 25.24 23.63 23.31 23.98 23.3 22.34 22.85 22.47 23.09 24.96 23.97 22.81 23.43 23.35 22.86 23.89 24.21 22.02 23.37 21.63 22.64 23.02 22.58 23.22 23.23 23.45 23.36 23.89 25.17 24.64 25.88 25.77 25.87 26.13 25.53 26.41 26.43 26.09 25.95 27.96 27.1 26.34 25.85 25.7 25.37 25.58 25.29 26.02 25.47 25.12 22.84 22.43 22.66 21.98 22.12 22.44 22.53 22.57 22.16 21.48 21.02 21.33 21.32 21.88 21.49 22.62 21.29 21.63 23.53 21.84 21.26 21.05 19.83 19.65 20.99 20.46 19.84 20.61]} {konqueror [0.06 3.82 11.31 12.45 12.92 12.53 13.09 13.65 13.14 13.03 13.19 13.21 12.84 13.47 12.98 12.77 12.81 13.15 12.86 12.3 12.56 11.65 11.99 12.16 11.7 12.34 13.12 13.06 12.93 13.59 12.97 13.35 12.31 11.44 12.09 10.68 10.81 10.82 10.85 10.97 11.06 10.85 10.86 11.17 10.8 11.11 11.09 10.92 11.4 11.87 12.03 11.84 11.82 10.94 9.81 9.87 10.39 10.14 10.11 10.53 10.05 10.62 10.62 10.09 9.95 10.28 10.24 10.15 10.3]} {tor-browser [0.01 0.31 0.7 0.93 1.39 1.69 1.89 1.93 2 2.67 2.51 3.03 3.09 3.35 4.03 4.16 4.35 4.44 4.93 4.87 5.14 5.7 7.61 7.08 8.04 8.59 8.24 8.63 10.41 11.1 11.44 10.75 11.37 11.67 12.1 12.24 12.13 11.58 11.27 11.25 10.85 10.54 10.49 10.2 10.42 10.09 10.39 10.43 10.2 9.22 7.99 8.22 8.49 8.43 8.34 8.56 8.65 8.67 8.6 8.71 9.02 9.41 9.6 9.06 9.05]} {vivaldi [0.01 2.04 2.37 2.43 2.56 2.51 2.52 2.51 2.52 2.8 2.68 2.95 3.03 3.28 3.56 4.43 5.51 5.61 5.5 5.86 6.17 5.84 5.53 5.75 5.71 6.07 6.01 6.19 6.53 6.37 6.39 5.96 6.88 7.21 6.99 7.07 6.16 6.66 6.48 6.28 6.17 6.4 6.33 5.98 6.27 6.28 6.59 6.83 7.66 8.3 8.08 8.51 7.77 8.22 8.1 7.49 6.68 5.49 5.23 5.11 5.2 5.44 5.39 5.13 5.27 5.44 5.34 5.48 5.47 5.33 5.13 5.4 5.79 6.18 6.54 6.17 5.73 6.12 6.12 6.28 6.37 7.94 8.19 8.68 8.47 8.54 8.72 8.15 7.85 7.46 7.43]} {opera [20.48 20.34 24.41 25.44 26.91 28.84 28.65 28.36 29.34 28.53 30.06 30 30.58 31.78 32.1 31.92 32.38 33.33 31.73 33.37 33.61 33.95 31.19 25.37 25.3 25.89 26.05 25.72 25.43 25.15 25.22 26.42 25.85 25.52 24.86 24.84 25.48 25.63 25.03 24.19 25.02 22.43 22.06 21.98 20.06 19.05 18.37 18.91 18.67 18.87 20.25 18.93 19.29 18.7 17.99 18.37 19.02 19.22 18.94 18.06 17.96 19.18 19 18.58 18.01 17.28 17 16.49 16.77 17.5 17.5 16.91 14.1 14.54 14.53 14.52 14.42 14.95 14.9 14.75 15.08 15.39 15.17 15.15 14.68 14.7 14.61 14.48 13.64 14.55 13.92 13.56 13.82 13.82 13.51 13.23 13.27 12.37 12.46 12.92]} {midori [15.85 14.62 13.84 13.3 13.84 13.68 13.97 14.9 14.31 14.46 15.18 14.63 14.65 15.07 15.05 15.6 15.32 15.34 15.89 15.72 15.74 15.71 15.49 11.37 11.38 11.37 11.61 11.48 11.71 11.69 11.67 11.54 12.48 12.12 12.38 8.3 8.83 8.45 8.22 8.12 7.66 7.55 7.3 7.61 7.71 8.06 8.28 7.91 8.3 8.46 8.67 8.6 8.43 8.2 8.33 8.32 8.65 8.3 8.72 8.71 10.43 10.69 10.05 9.78 9.97 9.82 9.3 8.96 8.83 8.83 9.07 9.15 8.95 9.01 9.07 9.28 9.06 8.8 8.57 8.71 8.09 8.17 7.99 7.23 7.21 7.31 7.67 7.41 6.84 7.04 7.16 7.14 6.95 6.34 6.12 6.45 5.79 5.59 5.68 5.49]}]Last edited by linuxscoop (2022-08-10 21:20:45)
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I ended up using the zscore algorithm as mentioned here: https://stackoverflow.com/a/826509
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