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Hive and data_hacks fun
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Authored by fgiunchedi on Apr 28 2017, 3:14 PM.
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F7814962: Hive and data_hacks fun
Apr 28 2017, 3:14 PM
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$ cat pixel_count_avgsize |grep -v '146.2784580498866' | awk '{print $1 " " $2}' | ~/.local/bin/histogram.py -A --max 5000 -p
# NumSamples = 82942062200; Min = 0.00; Max = 5000.00
# 830617 values outside of min/max
# Mean = inf; Variance = inf; SD = inf; Median 5227.000000
# each ∎ represents a count of 1054729691
0.0000 - 500.0000 [79104726879]: ∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎ (95.37%)
500.0000 - 1000.0000 [3055758594]: ∎∎ (3.68%)
1000.0000 - 1500.0000 [607802792]: (0.73%)
1500.0000 - 2000.0000 [151078118]: (0.18%)
2000.0000 - 2500.0000 [6672115]: (0.01%)
2500.0000 - 3000.0000 [12250857]: (0.01%)
3000.0000 - 3500.0000 [986989]: (0.00%)
3500.0000 - 4000.0000 [978102]: (0.00%)
4000.0000 - 4500.0000 [374602]: (0.00%)
4500.0000 - 5000.0000 [602535]: (0.00%)
$ cat pixel_count_avgsize |grep -v '146.2784580498866' | awk '{print $1 " " $2}' | ~/.local/bin/histogram.py -A --max 1500 -p
# NumSamples = 82942062200; Min = 0.00; Max = 1500.00
# 173773935 values outside of min/max
# Mean = inf; Variance = inf; SD = inf; Median 5227.000000
# each ∎ represents a count of 608377288
0.0000 - 150.0000 [45628296609]: ∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎ (55.01%)
150.0000 - 300.0000 [28113428738]: ∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎ (33.90%)
300.0000 - 450.0000 [4825666280]: ∎∎∎∎∎∎∎ (5.82%)
450.0000 - 600.0000 [1110153755]: ∎ (1.34%)
600.0000 - 750.0000 [1978740711]: ∎∎∎ (2.39%)
750.0000 - 900.0000 [444815750]: (0.54%)
900.0000 - 1050.0000 [208827229]: (0.25%)
1050.0000 - 1200.0000 [236027095]: (0.28%)
1200.0000 - 1350.0000 [209377978]: (0.25%)
1350.0000 - 1500.0000 [12954120]: (0.02%)
$ cat pixel_count_avgsize |grep -v '146.2784580498866' | awk '{print $1 " " $2}' | ~/.local/bin/histogram.py -A --max 750 -p
# NumSamples = 82942062200; Min = 0.00; Max = 750.00
# 1285776107 values outside of min/max
# Mean = inf; Variance = inf; SD = inf; Median 5227.000000
# each ∎ represents a count of 443747644
0.0000 - 75.0000 [33281073339]: ∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎ (40.13%)
75.0000 - 150.0000 [12347223270]: ∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎ (14.89%)
150.0000 - 225.0000 [20496799287]: ∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎ (24.71%)
225.0000 - 300.0000 [7616629451]: ∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎ (9.18%)
300.0000 - 375.0000 [2831749660]: ∎∎∎∎∎∎ (3.41%)
375.0000 - 450.0000 [1993916620]: ∎∎∎∎ (2.40%)
450.0000 - 525.0000 [664318218]: ∎ (0.80%)
525.0000 - 600.0000 [445835537]: ∎ (0.54%)
600.0000 - 675.0000 [467549947]: ∎ (0.56%)
675.0000 - 750.0000 [1511190764]: ∎∎∎ (1.82%)
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