Assets

Modified

August 26, 2024

This report summarizes the types of files (assets) that are stored and shared.

Code
source("../R/storage_gb_by_vol.R")
source("../R/CONSTANTS.R")

targets::tar_load(volume_asset_stats_df, store = "../_targets/")

Volumes with shared assets

There are n= 1008 shared volumes with assets.

The following shows the number of shared volumes with a given asset type.

Code
volume_asset_stats_df |>
  dplyr::group_by(format_name) |>
  dplyr::count(format_name) |>
  dplyr::arrange(desc(n)) |>
  kableExtra::kable(format = 'html') |>
  kableExtra::kable_styling()
format_name n
MPEG-4 video 746
Portable document 160
Microsoft Word (Office Open XML) document 132
Microsoft Excel (Office Open XML) workbook 131
Comma-separated values 124
NA 104
MPEG-1 or MPEG-2 audio layer III 89
Plain text 78
Datavyu 76
JPEG image 69
SPSS System File 59
Microsoft Word document 57
Portable network graphics 51
Microsoft Excel spreadsheet 48
Microsoft PowerPoint (Office Open XML) presentation 41
Microsoft PowerPoint presentation 21
Rich text format 20
ELAN - Linguistic Annotator 3
Codes for the Human Analysis of Transcripts 2

Assets by volume

The following shows data about the number of files and total storage by shared volume.

Code
vol_asset_summ <- storage_gb_by_vol(volume_asset_stats_df)

vol_asset_summ |>
  dplyr::select(vol_id, n_tot_files, tot_gb) |>
  dplyr::arrange(desc(tot_gb)) |>
  kableExtra::kable(format = 'html') |>
  kableExtra::kable_styling() |>
  kableExtra::scroll_box(width = "100%", height = "300px")
vol_id n_tot_files tot_gb
1612 4290 1391.2871706
899 339 278.9003308
954 243 229.9873828
444 266 221.8835980
143 1117 190.9240801
350 97 184.3763976
1297 772 175.1693556
1397 174 172.4644660
1515 178 170.9805345
1517 210 144.4833468
322 196 114.8655738
1422 88 112.1931536
476 283 111.5334127
87 430 110.0919857
1376 103 107.2424879
152 151 107.1642422
1391 106 106.1245301
1 128 93.8244405
1481 89 79.4542869
996 73 71.1330701
966 66 62.9276603
1590 51 57.3390467
1762 84 55.1396697
1078 13 54.0905371
1110 1452 52.0894195
1576 44 49.8850702
88 197 47.2916149
1459 45 46.8323761
239 66 43.1763632
460 64 30.5665514
1075 138 30.4646919
1400 33 28.7635878
1656 27 26.4218546
169 100 23.9600327
709 50 22.9592644
1635 51 21.5101645
1278 150 18.4678944
896 52 12.9072342
132 22 11.4957061
455 79 11.3324770
876 119 11.1845622
145 17 10.5633845
1745 11 9.5125594
254 150 8.3867543
323 16 7.4137936
430 44 6.6811806
473 9 6.4796084
237 45 5.6234590
1697 70 5.3617177
106 12 5.2630509
290 39 4.4878168
1174 472 3.8282927
1509 7 3.6951828
2 16 3.4886962
232 33 3.3289155
1684 25 2.7042861
148 9 2.5234593
736 17 1.7893286
1116 448 1.6932614
200 15 1.5417262
932 3 1.5047450
1609 88 1.1842453
142 1 1.1756294
955 14 1.1715837
686 10 0.8432275
1316 1435 0.7228955
477 8 0.7113921
104 2 0.5447983
875 2 0.4728948
198 7 0.3731026
1042 954 0.3625865
893 9 0.3514056
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1303 5 0.2948161
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692 4 0.2783462
321 484 0.2575806
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1564 12 0.1717407
707 6 0.1594611
691 2 0.1520534
144 10 0.1430138
176 33 0.1174232
1127 4 0.1126379
1529 4 0.1115648
235 1 0.1111963
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1129 370 0.0951020
837 110 0.0914271
1073 45 0.0845765
146 4 0.0840178
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209 92 0.0626185
1504 13 0.0593773
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554 2 0.0427056
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252 17 0.0238292
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1795 1 0.0213149
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821 118 0.0179781
1788 1 0.0161446
1794 1 0.0158663
1542 1 0.0155437
75 10 0.0150193
46 1 0.0149169
873 68 0.0144968
1541 1 0.0130177
330 90 0.0115809
77 106 0.0114952
112 3 0.0111814
5 231 0.0108550
49 1 0.0098315
1134 3 0.0092221
73 53 0.0086648
1223 18 0.0079203
1143 118 0.0074744
546 36 0.0074267
11 683 0.0074016
214 29 0.0069492
326 2 0.0067364
1401 18 0.0066147
434 435 0.0062941
336 2 0.0057491
27 19 0.0056689
760 2 0.0050486
186 2 0.0045703
70 309 0.0043793
1141 543 0.0042704
99 11 0.0037706
172 5 0.0035499
81 3668 0.0034722
29 3 0.0033604
1403 55 0.0032129
44 1 0.0032100
248 15 0.0032068
1670 36 0.0031590
268 9 0.0031129
1288 27 0.0030505
545 4 0.0030255
1168 9 0.0028374
1406 5 0.0021569
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1417 19 0.0018521
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1307 24 0.0000980
1317 1 0.0000964
1392 23 0.0000910
272 57 0.0000887
1681 1 0.0000699
484 236 0.0000560
270 1 0.0000555
697 1 0.0000491
1550 24 0.0000438
608 2 0.0000410
1474 2 0.0000378
1036 1 0.0000330
1070 2 0.0000326
1410 1 0.0000209
807 1 0.0000205
468 1 0.0000205
482 1 0.0000201
1111 1 0.0000195
234 1 0.0000087
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1708 7 0.0000000
1709 41 0.0000000
1710 2 0.0000000
1712 59 0.0000000
1713 58 0.0000000
1714 58 0.0000000
1716 40 0.0000000
1717 213 0.0000000
1718 94 0.0000000
1719 1 0.0000000
1721 52 0.0000000
1722 58 0.0000000
1726 15 0.0000000
1727 140 0.0000000
1728 9 0.0000000
1730 151 0.0000000
1731 147 0.0000000
1732 44 0.0000000
1734 84 0.0000000
1737 56 0.0000000
1738 53 0.0000000
1739 82 0.0000000
1740 165 0.0000000
1743 15 0.0000000
1746 18 0.0000000
1747 4 0.0000000
1749 5 0.0000000
1750 5 0.0000000
1751 31 0.0000000
1753 17 0.0000000
1754 2 0.0000000
1755 723 0.0000000
1756 41 0.0000000
1757 377 0.0000000
1763 38 0.0000000
1764 426 0.0000000
1765 1 0.0000000
1766 57 0.0000000
1768 29 0.0000000
1771 62 0.0000000
1772 26 0.0000000
1773 4 0.0000000
1774 593 0.0000000
1775 75 0.0000000
1781 60 0.0000000
1784 11 0.0000000
1790 71 0.0000000
1791 1 0.0000000
1792 1 0.0000000
1793 1 0.0000000
1797 9 0.0000000
1798 273 0.0000000
1801 543 0.0000000
1802 1 0.0000000
1804 4 0.0000000
1805 9 0.0000000
1806 1 0.0000000
1808 2 0.0000000
1809 22 0.0000000
1810 361 0.0000000
1811 5 0.0000000
1813 21 0.0000000
1816 17 0.0000000

Summary statistics

The following provides summary data about the number of files and total storage provided.

Code
# min, lower-hinge, median, upper-hinge, max.
files_5_num <- fivenum(vol_asset_summ$n_tot_files)
gb_5_num <- fivenum(vol_asset_summ$tot_gb)
Statistic min median mean max
n_tot_files 1 32 198.0277778 2.6578^{4}
tot_gb 0 0 4.9621073 1391.2871706
Note

This is for shared data. We know that the number of private or partially-shared volumes is 3-5 times the number of fully shared volumes.

Assets by type, size, and duration

Total number of shared assets, total size, and total duration by type:

Code
volume_asset_stats_df |>
  dplyr::group_by(format_name) |>
  dplyr::summarise(n_files = sum(n_files),
            size_gb = sum(tot_size_gb),
            dur_hrs = sum(tot_dur_hrs)) |>
  dplyr::arrange(desc(n_files)) |>
  dplyr::select(format_name, n_files, size_gb, dur_hrs) |>
  kableExtra::kable(format = 'html') |>
  kableExtra::kable_styling()
format_name n_files size_gb dur_hrs
MPEG-4 video 118344 1873.9358757 90567.767
JPEG image 16034 0.0848530 0.000
Plain text 14039 0.0212816 0.000
MPEG-1 or MPEG-2 audio layer III 10939 3.9982265 5743.456
Comma-separated values 6896 55.3700675 0.000
Datavyu 5776 0.0006015 0.000
Portable document 5702 1.3655757 0.000
NA 5602 3066.9348425 1874.922
Microsoft Word (Office Open XML) document 4003 0.0035611 0.000
Portable network graphics 2673 0.0461352 0.000
Microsoft Word document 2586 0.0145210 0.000
Microsoft Excel (Office Open XML) workbook 2193 0.0131347 0.000
ELAN - Linguistic Annotator 1918 0.0005983 0.000
Microsoft Excel spreadsheet 1113 0.0001655 0.000
Codes for the Human Analysis of Transcripts 567 0.0000000 0.000
Microsoft PowerPoint (Office Open XML) presentation 438 0.0000000 0.000
SPSS System File 322 0.0147100 0.000
Rich text format 312 0.0000338 0.000
Microsoft PowerPoint presentation 155 0.0000000 0.000

Note that the API does not show valid file types for PRIVATE volumes, and these volumes hold large quantities of video and audio.