Wikiversity Statistics - Edit and Revert Trends: PortugueseSaturday December 31, 2016 |
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May 2016: The major overhaul of Wikistats reports has entered a new phase. First phase focused on migrating the traffic analysis reports to our new infrastructure. Those are operational now.
The Analytics Team will now proceed to also migrate data collection and reporting about wiki content and contributors.
First results are expected later this year. More info at this announcement
You can see the first wireframes for Wikistats 2.0 and comment on the design here. |
Edit history charts for top 50 Wikiversities
/ ... for all Wikiversities / Edit and revert counts for all Wikiversities
| Projects indexed by language / language code / edit count | Toggle index |
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All languages, Beta, Czech, English, Finnish, French, German, Greek, Italian, Japanese, Portuguese, Russian, Slovene, Spanish, Swedish
beta, cs, de, el, en, es, fi, fr, it, ja, pt, ru, sl, sv, zz
All languages, English (1.4 M), French (563 k), German (247 k), Russian (117 k), Portuguese (117 k), Spanish (119 k), Czech (77 k), Beta (96 k), Italian (80 k), Finnish (68 k), Slovene (44 k), Swedish (23 k), Greek (13 k), Japanese (3 k)
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Monthly trend in number of edits
Also shown is monthly trend for total reverts, for scale comparisonChart shows absolute numbers (y axis scale shows number of edits relative (%) to busiest month)
Monthly trend in revert activity, relative to edit volume
Per x edits, were anonymous edits reverted more often than edits by bots or by registered users?Chart shows ratio reverts:edits per class of editors (registered or anonymous users or bots).
Note: often peaks in revert ratio in early years are not so significant as in later years:
low absolute edit counts easily led to high fluctuations in revert ratio.
Revert ratio is ratio reverts:edits per class of editors (registered or anonymous users or bots).
Only reverts detected by sha1 matching are considered here, not (partial) manual reverts only detectable by edit comment.
Reverts is less than reverted edits! Sometimes several edits are undone with one revert.
Reverts broken down by number of reverted edits: 1 edit:70%, 2 edits:13%, 3 edits:5%, 4 edits:2%, 5 edits:2%, >5 edits:8%
When several revisions were reverted in one action, the oldest reverted revision determines editor class (and coloring):
is this a reverted user edit (reg/anon) or a reverted bot edit?
Distribution of reverts
Breakdown per namespace, type of reverted editor (registered or anonymous user or bot), type of reverter (same), was it a self revert or not, per time period.
Note: a high percentage in any segment can relate to a high absolute number of edits for that segment, or a high revert ratio, or both (please consult charts above for context)
.Projects pages are excluded due to enormous amount of false positives: some status pages are cleared often as normal process
| Distribution of reverts, each subdivision adds up to 100% |
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| Namespace(s) | Reverted editor | Revert by | Self revert |
|---|
| Articles | 76.2% | Reg user | 38.5% | Reg user | 96.3% | Self | 57.9% |
| Others | 42.1% |
| Anon user | 3.2% |
| Bot | 0.5% |
| Anon user | 48.7% | Reg user | 75.8% |
| Anon user | 24.2% | Self | 80.6% |
| Others | 19.4% |
| Bot | 0.0% |
| Bot | 0.9% | Reg user | 66.7% |
| Anon user | 0.0% |
| Bot | 33.3% | Self | 33.3% |
| Others | 66.7% |
| Unknown | 11.9% | Reg User | 79.5% |
| Anon User | 20.5% |
| Bot | 0.0% |
Other
Non-
Project
Pages | 23.8% | Reg user | 59.7% |
| Anon user | 14.4% |
| Bot | 6.5% |
| Unknown | 19.4% |
| Unknown = comments mentions (partial) revert, but no sha1 match |
| Reg = registered, Anon = anonymous |
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| Distribution of reverts, each percentage is share of total reverts |
|---|
| Namespace(s) | Reverted editor | Revert by | Self revert |
|---|
| Articles | 76.2% | Reg user | 29.4% | Reg user | 28.3% | Self | 16.4% |
| Others | 11.9% |
| Anon user | 0.9% |
| Bot | 0.2% |
| Anon user | 37.1% | Reg user | 28.1% |
| Anon user | 9.0% | Self | 7.2% |
| Others | 1.7% |
| Bot | 0.0% |
| Bot | 0.7% | Reg user | 0.5% |
| Anon user | 0.0% |
| Bot | 0.2% | Self | 0.1% |
| Others | 0.2% |
| Unknown | 9.1% | Reg User | 7.2% |
| Anon User | 1.9% |
| Bot | 0.0% |
Other
Non-
Project
Pages | 23.8% | Reg user | 14.2% |
| Anon user | 3.4% |
| Bot | 1.6% |
| Unknown | 4.6% |
| Unknown = comments mentions (partial) revert, but no sha1 match |
| Reg = registered, Anon = anonymous |
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| Distribution of reverts, per year and type |
|---|
| 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005 |
|---|
| 16.3% | 15.2% | 24.5% | 29.8% | 19.7% | 17.7% | 8.9% | 8.2% | 7.9% | 18.9% | 12.9% | - |
| 7.3% | 6.2% | 2.9% | 10.5% | 4.2% | 4.3% | 10.5% | 3.9% | 46.6% | 2.8% | 3.2% | - |
| 0.7% | 1.8% | 3.7% | - | 0.4% | 0.3% | 0.5% | 0.4% | 0.8% | 1.9% | - | - |
| - | - | - | 0.3% | 0.4% | - | - | 0.7% | - | - | - | - |
| 15.6% | 35.3% | 25.7% | 18.0% | 21.0% | 32.8% | 38.7% | 55.4% | 17.2% | 28.3% | 29.0% | 80.0% |
| 4.5% | 8.0% | 8.6% | 13.2% | 5.5% | 8.0% | 9.9% | 3.6% | 1.9% | 12.3% | 29.0% | 20.0% |
| 0.3% | 2.2% | 4.5% | 3.1% | 2.1% | 0.3% | 4.2% | 1.8% | - | - | - | - |
| - | - | - | - | - | - | - | - | - | - | - | - |
| - | - | - | 0.3% | 1.7% | - | - | - | 1.9% | - | - | - |
| - | - | - | - | - | - | - | - | - | - | - | - |
| - | - | - | - | 0.4% | 0.3% | - | - | - | - | - | - |
| 0.3% | - | - | - | 0.8% | - | 0.5% | - | - | - | - | - |
| 9.7% | 7.6% | 7.8% | 6.4% | 4.6% | 9.4% | 5.8% | 5.0% | 2.9% | 24.5% | 6.5% | - |
| 1.7% | 2.2% | 2.9% | 4.1% | 1.7% | 1.7% | 1.6% | 1.1% | 1.1% | - | - | - |
| - | - | - | - | - | - | - | - | - | - | - | - |
| 30.6% | 12.1% | 8.2% | 7.1% | 16.0% | 16.4% | 7.3% | 15.0% | 14.6% | 5.7% | 19.4% | - |
| 2.8% | 5.8% | 6.9% | 3.4% | 4.6% | 2.0% | 3.7% | 1.4% | 2.1% | 3.8% | - | - |
| 6.6% | - | - | - | - | 1.3% | 6.3% | 1.1% | 0.5% | - | - | - |
| 3.5% | 3.6% | 4.5% | 3.7% | 16.8% | 5.4% | 2.1% | 2.5% | 2.6% | 1.9% | - | - |
| totals reverts per year |
|---|
| 288 | 224 | 245 | 295 | 238 | 299 | 191 | 280 | 378 | 106 | 31 | 5 |
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Distribution of reverts, like table above, but percentages are share
of sha1 detected reverts only, for article namespace only |
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| Namespace(s) | Reverted editor | Revert by | Self revert |
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| | Reg user | 43.7% | Reg user | 42.1% | Self | 24.4% |
| Others | 17.7% |
| Anon user | 1.4% |
| Bot | 0.2% |
| Anon user | 55.2% | Reg user | 41.8% |
| Anon user | 13.4% | Self | 10.8% |
| Others | 2.6% |
| Bot | 0.0% |
| Bot | 1.0% | Reg user | 0.7% |
| Anon user | 0.0% |
| Bot | 0.3% | Self | 0.1% |
| Others | 0.2% |
| Reg = registered, Anon = anonymous |
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Distribution of reverts, like table above, but percentages are
share of sha1 detected reverts only, for article namespace only |
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| 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005 |
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| 36.2% | 22.1% | 35.1% | 39.6% | 35.1% | 27.7% | 12.1% | 11.1% | 10.4% | 29.4% | 17.4% | - |
| 16.2% | 9.1% | 4.1% | 14.0% | 7.5% | 6.8% | 14.3% | 5.3% | 61.1% | 4.4% | 4.3% | - |
| 1.5% | 2.6% | 5.3% | - | 0.7% | 0.5% | 0.7% | 0.5% | 1.0% | 2.9% | - | - |
| - | - | - | 0.5% | 0.7% | - | - | 1.0% | - | - | - | - |
| 34.6% | 51.3% | 36.8% | 23.9% | 37.3% | 51.3% | 52.9% | 74.9% | 22.6% | 44.1% | 39.1% | 80.0% |
| 10.0% | 11.7% | 12.3% | 17.6% | 9.7% | 12.6% | 13.6% | 4.8% | 2.4% | 19.1% | 39.1% | 20.0% |
| 0.8% | 3.2% | 6.4% | 4.1% | 3.7% | 0.5% | 5.7% | 2.4% | - | - | - | - |
| - | - | - | - | - | - | - | - | - | - | - | - |
| - | - | - | 0.5% | 3.0% | - | - | - | 2.4% | - | - | - |
| - | - | - | - | - | - | - | - | - | - | - | - |
| - | - | - | - | 0.7% | 0.5% | - | - | - | - | - | - |
| 0.8% | - | - | - | 1.5% | - | 0.7% | - | - | - | - | - |
| totals reverts per year |
|---|
| 130 | 154 | 171 | 222 | 134 | 191 | 140 | 207 | 288 | 68 | 23 | 5 |
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Top Rankings
Note: Before the official launch of Wikiversity as a project, in August 2006,
some course materials were already produced on Wikibooks.
Wikistats pages that show monthly trends include that early history.
Wikiversities are ordered by hourly page views in recent days
Generated on Tuesday February 14, 2017 13:55 from recent database dump files.
Data processed up to Saturday December 31, 2016
Please note that the lengthy dump process (many weeks) means a delay in publishing these statistics is always to be expected.
Author:Erik Zachte (Web site)
Mail:ezachte@### (no spam: ### = wikimedia.org)
Documentation / Scripts / CSV files: About WikiStats
Charts rendered with R
All data and images on this page are in the public domain.