T197986

suppressPackageStartupMessages({
  library(magrittr)
  library(tidyverse)
  library(knitr)
  library(kableExtra)
  library(WikidataQueryServiceR)
  import::from(polloi, compress)
})
options(knitr.kable.NA = "—")
wikidata_link <- function(id) {
  linked_cells <- text_spec(id, link = paste0("https://www.wikidata.org/entity/", id))
  linked_cells[is.na(id)] <- ""
  return(linked_cells)
}
make_list <- function(items) {
  if (all(is.na(items))) {
    return("—")
  } else {
    return(sprintf("<ul style = \"padding-left: 0;\">%s</ul>", paste0(sprintf("<li>%s</li>", items), collapse = "")))
  }
}
maybe_make_list <- function(x) {
  if (length(x) == 1) {
    if (is.na(x)) return("—")
    else return(x)
  } else {
    return(make_list(x))
  }
}
make_mini_table <- function(x) {
  if (is.na(x[[1]]$item)) return("—")
  map_dfr(x, as_data_frame) %>%
    mutate(item = wikidata_link(item)) %>%
    kable(col.names = NULL, escape = FALSE) %>%
    kable_styling("striped", full_width = TRUE) %>%
    column_spec(1, width = "100px")
}

suppressMessages({
  examples <- read_tsv("data/example.tsv")
  taxons <- read_rds("data/wikidata_taxons_refined.rds")
  commons <- read_rds("data/wikidata_organisms_known_by_common_name.rds")
})

formatted_examples <- examples %>%
  mutate(entity = wikidata_link(entity),
         description = ifelse(is.na(description), "—", description),
         language = c("en" = "English", "es" = "Spanish")[language],
         instance_of = sprintf("%s (%s)", instance_of_label, wikidata_link(instance_of)),
         taxon_common_name = ifelse(is.na(taxon_common_name), "—", taxon_common_name),
         group = sprintf("%s (%s)", group_label, wikidata_link(group)),
         group = ifelse(group == "NA ()", "—", group)) %>%
  select(-c(instance_of_label, group_label)) %>%
  group_by(entity, language, label, description, instance_of, group) %>%
  summarize(taxon_common_names = paste0(unique(taxon_common_name), collapse = ", "),
            aliases = make_list(alias)) %>%
  ungroup %>%
  arrange(entity, language)
formatted_examples %>%
  kable(col.names = c(
    "Entity", "Language", "Label", "Description",
    "Instance of", "Group", "Taxon common name(s)", "Alias(es)"
  ), escape = FALSE, caption = "Examples highlighted in the \"Wikidata completeness and quality issues\" slides.") %>%
  kable_styling() %>%
  collapse_rows(columns = 1:2, valign = "top")

Stas: labels & descriptions are indexed
      some statement values are indexed too
      aliases are indexed as labels
      statements are indexed twofold - as P123=Value in dedicated field
      and also values are added into all field
  Me: what determines when a statement value is indexed?
Stas: value type. right now only item and string valued statements are indexed
      oh and external ID (which is a kind of string)
      but in general if you have a lot of similar items the order may not be what you want

"statement_keywords":[
  "P31=Q55983715",
  "P31=Q55983715[P642=Q319469]"
]

SELECT (COUNT(?item) AS ?n_taxons) WHERE {
  ?item wdt:P31 wd:Q16521.
}

today <- lubridate::today()
n_taxons <- query_wikidata("SELECT (COUNT(?item) AS ?n_taxons) WHERE { ?item wdt:P31 wd:Q16521.}")$n_taxons

SELECT (COUNT(?item) AS ?n_taxons) WHERE {
  ?item wdt:P31 wd:Q16521.
  ?item rdfs:label ?itemLabel.
  FILTER(LANG(?itemLabel) = "en").
}

taxons %>%
  filter(entity %in% c("Q28319", "Q311230", "Q1000270", "Q59392949", "Q1034859", "Q1035244", "Q25327", "Q29995", "Q1010571")) %>%
  arrange(desc(entity)) %>%
  mutate(
    label = ifelse(is.na(sqoop_label), "—", sqoop_label),
    description = ifelse(is.na(sqoop_description), "—", sqoop_description),
    item = sprintf("%s (%s)", label, wikidata_link(entity)),
    aliases = map_chr(query_aliases, maybe_make_list),
    taxon_common_names = map_chr(query_taxon_common_names, maybe_make_list)
  ) %>%
  select(item, description, aliases, taxon_common_names) %>%
  kable(escape = FALSE, caption = "Taxons on Wikidata",
        col.names = c("Item", "Description", "Alias(es)", "Taxon common name(s)")) %>%
  kable_styling(bootstrap_options = "striped")

taxon_completeness <- taxons %>%
  select(entity, sqoop_label, sqoop_description, query_aliases, query_taxon_common_names) %>%
  transmute(
    item = entity,
    `alias(es)` = !map_lgl(query_aliases, ~ all(is.na(.x))),
    `taxon common name(s)` = !map_lgl(query_taxon_common_names, ~ all(is.na(.x))),
    label = !is.na(sqoop_label),
    description = !is.na(sqoop_description),
  ) %>%
  gather(has, val, -item) %>%
  arrange(item, has, val)

taxon_completeness %>%
  filter(val) %>%
  group_by(item) %>%
  summarize(n_has = n(), has = paste0(has, collapse = ", ")) %>%
  count(n_has, has) %>%
  arrange(desc(n)) %>%
  mutate(prop = sprintf("%.3f%%", 100 * n / sum(n))) %>%
  kable(escape = FALSE, caption = "English info completeness of taxons on Wikidata",
        col.names = c("Fields available for a taxon", "Info available (in English)", "Items in dataset", "Proportion of dataset")) %>%
  kable_styling(bootstrap_options = "striped")

taxon_completeness %>%
  filter(!val) %>%
  group_by(item) %>%
  summarize(n_has = n(), has = paste0(has, collapse = ", ")) %>%
  count(n_has, has) %>%
  arrange(desc(n)) %>%
  mutate(prop = sprintf("%.3f%%", 100 * n / sum(n))) %>%
  kable(escape = FALSE, caption = "English info missingness of taxons on Wikidata",
        col.names = c("Fields NOT available for a taxon", "Info NOT available (in English)", "Items in dataset", "Proportion of dataset")) %>%
  kable_styling(bootstrap_options = "striped")

info_completeness <- taxon_completeness %>%
  group_by(has) %>%
  summarize(n = sum(val), total = n())
info_completeness_n <- set_names(info_completeness$n, info_completeness$has)
info_completeness %>%
  transmute(has = has,
            prop1 = sprintf("%s (%.3f%%)", compress(n), 100 * n / total),
            prop2 = sprintf("%s (%.3f%%)", compress(total - n), 100 * (total - n) / total)) %>%
  kable(col.names = c("Information a taxon item may have", "How many have a value (in English)", "How many do NOT have a value (in English)"),
        caption = sprintf("English completeness of items among a subset of %s taxons", compress(nrow(taxons))),
        align = c("l", "r", "r")) %>%
  kable_styling(bootstrap_options = "striped")

commons %>%
  filter(item %in% c("Q5", "Q11946202", "Q3469592", "Q11065036", "Q17128757")) %>%
  arrange(desc(item)) %>%
  mutate(
    item = sprintf("%s (%s)", label, wikidata_link(item)),
    description = ifelse(is.na(description), "—", description),
    aliases = map(aliases, maybe_make_list),
    groups = map(groups, make_mini_table),
    different_from = map(different_from, make_mini_table)
  ) %>%
  select(-label) %>%
  kable(escape = FALSE,
        col.names = c("Item", "Description", "Alias(es)",
                      "Group(s) (Item, Label)", "Different From (Item, Label)"),
        caption = "Wikidata entities that are instances of 'groups of organisms known by one particular common name'") %>%
  kable_styling(full_width = TRUE) %>%
  column_spec(1, width = "100px") %>%
  column_spec(2, width = "150px")

commons %>%
  transmute(
    label = !is.na(label),
    description = !is.na(description),
    `alias(es)` = map_int(aliases, ~ sum(!is.na(.x))) > 0,
    `at least one "of" qualifier` = map_int(groups, ~ sum(!is.na(.x[[1]]$item))) > 0,
    `at least one "different from" statement` = map_int(different_from, ~ sum(!is.na(.x[[1]]$item))) > 0
  ) %>%
  gather(has, val) %>%
  mutate(has = factor(has, c("label", "description", "alias(es)", "at least one \"of\" qualifier", "at least one \"different from\" statement"))) %>%
  group_by(has) %>%
  summarize(prop = sprintf("%.1f%%", 100 * mean(val))) %>%
  kable(col.names = c("Information an item may have", "How many have a value (in English)"),
        caption = "English completeness of items which are instances of 'group of organisms known by one particular common name'",
        align = c("l", "r")) %>%
  kable_styling("striped") %>%
  group_rows(index = c("Indexed for search as text" = 3, "Indexed for search as statement_keywords" = 2))

commons_completeness <- commons %>%
  transmute(
    item = item,
    label = !is.na(label),
    description = !is.na(description),
    `alias(es)` = map_int(aliases, ~ sum(!is.na(.x))) > 0,
    `at least one "of" qualifier` = map_int(groups, ~ sum(!is.na(.x[[1]]$item))) > 0,
    `at least one "different from" statement` = map_int(different_from, ~ sum(!is.na(.x[[1]]$item))) > 0
  ) %>%
  gather(has, val, -item) %>%
  mutate(has = factor(has, c("label", "description", "alias(es)", "at least one \"of\" qualifier", "at least one \"different from\" statement"))) %>%
  filter(val) %>%
  group_by(item) %>%
  summarize(n_has = n(), has = paste0(has, collapse = ", ")) %>%
  count(n_has, has) %>%
  arrange(desc(n_has), desc(n)) %>%
  mutate(prop = sprintf("%.2f%%", 100 * n / sum(n)))
commons_completeness %>%
  dplyr::select(-n_has) %>%
  kable(escape = FALSE, caption = "English information completeness of 'group of organisms known by one particular common name' instances on Wikidata",
        col.names = c("Fields of information available (in English)", "Items on Wikidata", "Proportion among all such instances")) %>%
  kable_styling(bootstrap_options = "striped") %>%
  group_rows(index = auto_index(commons_completeness$n_has), group_label = "Fields available for an item")

---
title: "T197986"
description: | 
  Report on the state of Wikidata incompleteness
output:
  html_notebook:
    theme: readable
    code_folding: hide
editor_options: 
  chunk_output_type: inline
---

```{r setup}
suppressPackageStartupMessages({
  library(magrittr)
  library(tidyverse)
  library(knitr)
  library(kableExtra)
  library(WikidataQueryServiceR)
  import::from(polloi, compress)
})
options(knitr.kable.NA = "—")
wikidata_link <- function(id) {
  linked_cells <- text_spec(id, link = paste0("https://www.wikidata.org/entity/", id))
  linked_cells[is.na(id)] <- ""
  return(linked_cells)
}
make_list <- function(items) {
  if (all(is.na(items))) {
    return("—")
  } else {
    return(sprintf("<ul style = \"padding-left: 0;\">%s</ul>", paste0(sprintf("<li>%s</li>", items), collapse = "")))
  }
}
maybe_make_list <- function(x) {
  if (length(x) == 1) {
    if (is.na(x)) return("—")
    else return(x)
  } else {
    return(make_list(x))
  }
}
make_mini_table <- function(x) {
  if (is.na(x[[1]]$item)) return("—")
  map_dfr(x, as_data_frame) %>%
    mutate(item = wikidata_link(item)) %>%
    kable(col.names = NULL, escape = FALSE) %>%
    kable_styling("striped", full_width = TRUE) %>%
    column_spec(1, width = "100px")
}
```
```{r data}
suppressMessages({
  examples <- read_tsv("data/example.tsv")
  taxons <- read_rds("data/wikidata_taxons_refined.rds")
  commons <- read_rds("data/wikidata_organisms_known_by_common_name.rds")
})
```

This project (tracked in [T197986](https://phabricator.wikimedia.org/T197986)) is about quantifying the state of incompleteness of Q-items on Wikidata. Unfortunately the question of inconsistency is an enormous research project and quantifying it would require concrete (and automatable) definition. It is also outside of the ability of this report's author ([Mikhail Popov](https://meta.wikimedia.org/wiki/User:MPopov_(WMF))) and the scope of the [Wikimedia Audiences Product Analytics team](https://mediawiki.com/wiki/Product_Analytics). The code, queries, and data are available in [the corresponding repository on GitHub](https://github.com/wikimedia-research/SDoC-T197986).

**Disclaimer**: in order to facilitate the analysis, the data was limited to English labels/descriptions/aliases/taxon common names. Due to the prevalence of English on Wikidata, it could be safe to assume that however bad the statistics look in English, they look much worse in other languages.

The following are examples which were highlighted in the deck [Wikidata completeness and quality issues](https://docs.google.com/presentation/d/1dANu94y9AA16t6fN_i_hagqlsdI92qMmezhIb14F-bo/edit?usp=sharing):

```{r examples}
formatted_examples <- examples %>%
  mutate(entity = wikidata_link(entity),
         description = ifelse(is.na(description), "—", description),
         language = c("en" = "English", "es" = "Spanish")[language],
         instance_of = sprintf("%s (%s)", instance_of_label, wikidata_link(instance_of)),
         taxon_common_name = ifelse(is.na(taxon_common_name), "—", taxon_common_name),
         group = sprintf("%s (%s)", group_label, wikidata_link(group)),
         group = ifelse(group == "NA ()", "—", group)) %>%
  select(-c(instance_of_label, group_label)) %>%
  group_by(entity, language, label, description, instance_of, group) %>%
  summarize(taxon_common_names = paste0(unique(taxon_common_name), collapse = ", "),
            aliases = make_list(alias)) %>%
  ungroup %>%
  arrange(entity, language)
formatted_examples %>%
  kable(col.names = c(
    "Entity", "Language", "Label", "Description",
    "Instance of", "Group", "Taxon common name(s)", "Alias(es)"
  ), escape = FALSE, caption = "Examples highlighted in the \"Wikidata completeness and quality issues\" slides.") %>%
  kable_styling() %>%
  collapse_rows(columns = 1:2, valign = "top")
```



## Search Indexing

| Example 1a | Example 1b | Example 1c | Example 1d |
|:----------:|:----------:|:----------:|:----------:|
|![Example 1a](images/butterfly-a.png)|![Example 1b](images/butterfly-b.png)|![Example 1c](images/butterfly-c.png)|![Example 1d](images/butterfly-d.png)|
|Searching for "butterfly" with English as UI language|Searching for "mariposa" with English as UI language|Searching for "mariposa" with Spanish as UI language|Searching for "mariposas" with Spanish as UI language|

One might expect Q11946202 (Rhopalocera) to show when searching for "mariposa" with Spanish as the display language because that's the common name for butterfly in Spanish, but because it has "mariposas" as an alias while Q28319 (lepidópteros) has "mariposa" as an alias, Q28319 is shown higher than Q11946202 until an "s" is added.

Unfortunately that's just how information retrieval works. Exact matches yield higher scores than partial matches. During my time with Search Platform team as part of Discovery (RIP), the most important thing I learned was: **_search is hard_**.

### Details

In my chat with Stas (Senior Performance Engineer, Search Platform):

```
Stas: labels & descriptions are indexed
      some statement values are indexed too
      aliases are indexed as labels
      statements are indexed twofold - as P123=Value in dedicated field
      and also values are added into all field
  Me: what determines when a statement value is indexed?
Stas: value type. right now only item and string valued statements are indexed
      oh and external ID (which is a kind of string)
      but in general if you have a lot of similar items the order may not be what you want
```

Searching for "salamander animal":

- [Search results page](https://www.wikidata.org/w/index.php?search=salamander+animal)
- [Cirrus query dump](https://www.wikidata.org/w/index.php?search=salamander+animal&cirrusDumpQuery=yes)
- [Cirrus results dump](https://www.wikidata.org/w/index.php?search=salamander+animal&cirrusDumpResult=yes)

Even though "salamander animal" contains both the label and the description for salamander entity ([Q3469592](https://www.wikidata.org/wiki/Q3469592)), it only shows up halfway in the top 20 results because:

> Right now it's a combination of item weight and query score, and the weights between those are pretty much invented out of the thin air
> so now we're collecting click statistics to try and make them more based in reality

So that's the answer to the problem of why some items don't show up in the top 10 autocomplete suggest feature.

**Cool Trick**: since statements with item & string values are indexed, it's possible to search with qualifiers too: [`haswbstatement:P31=Q55983715[P642=Q319469]`](https://www.wikidata.org/w/index.php?search=&search=haswbstatement%3AP31%3DQ55983715%5BP642%3DQ319469%5D&title=Special%3ASearch&go=Go). In [its Cirrus index entry](https://www.wikidata.org/wiki/Q3469592?action=cirrusDump), we can see that:

```JSON
"statement_keywords":[
  "P31=Q55983715",
  "P31=Q55983715[P642=Q319469]"
]
```

## Taxons

**Note**: technical limitations (SPARQL queries timing out) prevented us from compiling a dataset of all taxons on Wikidata, and we limited our dataset to those which had either: (1) at least one English alias, or (2) at least one English taxon common name. However, we can at least [count how many taxons there are on Wikidata](https://query.wikidata.org/#SELECT%20%28COUNT%28%3Fitem%29%20AS%20%3Fn_taxons%29%20WHERE%20%7B%0A%20%20%3Fitem%20wdt%3AP31%20wd%3AQ16521.%0A%7D):

```SPARQL
SELECT (COUNT(?item) AS ?n_taxons) WHERE {
  ?item wdt:P31 wd:Q16521.
}
```
```{r n_taxons, message=FALSE, cache=TRUE}
today <- lubridate::today()
n_taxons <- query_wikidata("SELECT (COUNT(?item) AS ?n_taxons) WHERE { ?item wdt:P31 wd:Q16521.}")$n_taxons
```

As of `r today`, there are `r compress(n_taxons)` items on Wikidata which are instances of taxon. This means that our dataset of `r compress(nrow(taxons))` items -- those which had at least one English alias or English taxon common name -- is approximately `r sprintf("%.2f%%", 100 * nrow(taxons) / n_taxons)` of all taxon items on Wikidata.

Beyond that it is hard to say how many taxons even have labels. If we try use Wikidata Query Service to count how many taxons have an English label, the following [query](https://query.wikidata.org/#SELECT%20%28COUNT%28%3Fitem%29%20AS%20%3Fn_taxons%29%20WHERE%20%7B%0A%20%20%3Fitem%20wdt%3AP31%20wd%3AQ16521.%0A%20%20%3Fitem%20rdfs%3Alabel%20%3FitemLabel.%0A%20%20FILTER%28LANG%28%3FitemLabel%29%20%3D%20%22en%22%29.%0A%7D) times out:

```SPARQL
SELECT (COUNT(?item) AS ?n_taxons) WHERE {
  ?item wdt:P31 wd:Q16521.
  ?item rdfs:label ?itemLabel.
  FILTER(LANG(?itemLabel) = "en").
}
```

Let's take a look at a few taxons to get a sense of what data they may have available:

```{r example_taxons}
taxons %>%
  filter(entity %in% c("Q28319", "Q311230", "Q1000270", "Q59392949", "Q1034859", "Q1035244", "Q25327", "Q29995", "Q1010571")) %>%
  arrange(desc(entity)) %>%
  mutate(
    label = ifelse(is.na(sqoop_label), "—", sqoop_label),
    description = ifelse(is.na(sqoop_description), "—", sqoop_description),
    item = sprintf("%s (%s)", label, wikidata_link(entity)),
    aliases = map_chr(query_aliases, maybe_make_list),
    taxon_common_names = map_chr(query_taxon_common_names, maybe_make_list)
  ) %>%
  select(item, description, aliases, taxon_common_names) %>%
  kable(escape = FALSE, caption = "Taxons on Wikidata",
        col.names = c("Item", "Description", "Alias(es)", "Taxon common name(s)")) %>%
  kable_styling(bootstrap_options = "striped")
```

When the items are indexed, the index includes labels (if any), descriptions (if any), aliases (if any), and any values of statements which are plain text or Q-items. So if an item is, say, a person who is an instance of (P31) of human (Q5), then their index includes "P31=Q5" but *not* that they're a "human". However, if the value is plain text (e.g. taxon common name), then that gets included in the index and can be searched for. For example, Wikimedia Foundation, Inc. ([Q180](https://www.wikidata.org/wiki/Q180)) has a statement for property "IPv4 routing prefix" ([P3761](https://www.wikidata.org/wiki/Property:P3761)) so if one does a [full-text search for "198.35.26.0/23"](https://www.wikidata.org/w/index.php?search=198.35.26.0%2F23&title=Special%3ASearch&fulltext=1) (the value currently in that statement), WMF is the first result listed.

So one way to assess the searchability of taxons on Wikidata is to assess how many have lebels, descriptions, aliases, and taxon common names ([P1843](https://www.wikidata.org/wiki/Property:P1843)). Among the `r prettyNum(nrow(taxons), ",")` collected taxons, we have following completeness statistics:

```{r taxon_completeness}
taxon_completeness <- taxons %>%
  select(entity, sqoop_label, sqoop_description, query_aliases, query_taxon_common_names) %>%
  transmute(
    item = entity,
    `alias(es)` = !map_lgl(query_aliases, ~ all(is.na(.x))),
    `taxon common name(s)` = !map_lgl(query_taxon_common_names, ~ all(is.na(.x))),
    label = !is.na(sqoop_label),
    description = !is.na(sqoop_description),
  ) %>%
  gather(has, val, -item) %>%
  arrange(item, has, val)
```

```{r completeness_combinations}
taxon_completeness %>%
  filter(val) %>%
  group_by(item) %>%
  summarize(n_has = n(), has = paste0(has, collapse = ", ")) %>%
  count(n_has, has) %>%
  arrange(desc(n)) %>%
  mutate(prop = sprintf("%.3f%%", 100 * n / sum(n))) %>%
  kable(escape = FALSE, caption = "English info completeness of taxons on Wikidata",
        col.names = c("Fields available for a taxon", "Info available (in English)", "Items in dataset", "Proportion of dataset")) %>%
  kable_styling(bootstrap_options = "striped")
```

And, conversely, the following missingness statistics:

```{r missingness_combinations}
taxon_completeness %>%
  filter(!val) %>%
  group_by(item) %>%
  summarize(n_has = n(), has = paste0(has, collapse = ", ")) %>%
  count(n_has, has) %>%
  arrange(desc(n)) %>%
  mutate(prop = sprintf("%.3f%%", 100 * n / sum(n))) %>%
  kable(escape = FALSE, caption = "English info missingness of taxons on Wikidata",
        col.names = c("Fields NOT available for a taxon", "Info NOT available (in English)", "Items in dataset", "Proportion of dataset")) %>%
  kable_styling(bootstrap_options = "striped")
```

Those are *combinations* of missing fields. The following are per-field completeness & missingness statistics:

```{r info_completeness}
info_completeness <- taxon_completeness %>%
  group_by(has) %>%
  summarize(n = sum(val), total = n())
info_completeness_n <- set_names(info_completeness$n, info_completeness$has)
info_completeness %>%
  transmute(has = has,
            prop1 = sprintf("%s (%.3f%%)", compress(n), 100 * n / total),
            prop2 = sprintf("%s (%.3f%%)", compress(total - n), 100 * (total - n) / total)) %>%
  kable(col.names = c("Information a taxon item may have", "How many have a value (in English)", "How many do NOT have a value (in English)"),
        caption = sprintf("English completeness of items among a subset of %s taxons", compress(nrow(taxons))),
        align = c("l", "r", "r")) %>%
  kable_styling(bootstrap_options = "striped")
```

Considering that the collected dataset *only* included taxons which had at least one alias or at least one taxon common name, the missingness of those two items -- both of which aid a lot in search -- is rather concerning.

Again, these numbers are *not* representative of all `r compress(n_taxons)` taxons. As a reminder, the dataset of `r compress(nrow(taxons))` taxons studied was limited to those which had (1) at least one English alias or (2) at least one English taxon common name. It's not clear how many taxons on Wikidata do have a description or a label, but we can at least say that of `r compress(n_taxons)`, only `r compress( info_completeness_n["alias(es)"])` (`r sprintf("%.3f%%", 100 * info_completeness_n["alias(es)"] / n_taxons)`) taxons have at least one alias in English and only `r compress(info_completeness_n["taxon common name(s)"])` (`r sprintf("%.3f%%", 100 * info_completeness_n["taxon common name(s)"] / n_taxons)`) taxons have at least one taxon common name in English.

**Note**: A follow-up of this work should include all languages. We restricted this initial exploration to English as that is the analyst's primary language.

## Groups of organisms known by one particular common name

An item may also be an instance of "groups of organisms known by one particular common name" ([Q55983715](https://www.wikidata.org/wiki/Q55983715)). The following are some examples of such items:

```{r example_commons}
commons %>%
  filter(item %in% c("Q5", "Q11946202", "Q3469592", "Q11065036", "Q17128757")) %>%
  arrange(desc(item)) %>%
  mutate(
    item = sprintf("%s (%s)", label, wikidata_link(item)),
    description = ifelse(is.na(description), "—", description),
    aliases = map(aliases, maybe_make_list),
    groups = map(groups, make_mini_table),
    different_from = map(different_from, make_mini_table)
  ) %>%
  select(-label) %>%
  kable(escape = FALSE,
        col.names = c("Item", "Description", "Alias(es)",
                      "Group(s) (Item, Label)", "Different From (Item, Label)"),
        caption = "Wikidata entities that are instances of 'groups of organisms known by one particular common name'") %>%
  kable_styling(full_width = TRUE) %>%
  column_spec(1, width = "100px") %>%
  column_spec(2, width = "150px")
```

Similar the work on taxons, we can calculate some completeness statistics on these items. Although unlike the case with taxons, these (English-focused) statistics apply to *all* instances found on Wikidata.

```{r}
commons %>%
  transmute(
    label = !is.na(label),
    description = !is.na(description),
    `alias(es)` = map_int(aliases, ~ sum(!is.na(.x))) > 0,
    `at least one "of" qualifier` = map_int(groups, ~ sum(!is.na(.x[[1]]$item))) > 0,
    `at least one "different from" statement` = map_int(different_from, ~ sum(!is.na(.x[[1]]$item))) > 0
  ) %>%
  gather(has, val) %>%
  mutate(has = factor(has, c("label", "description", "alias(es)", "at least one \"of\" qualifier", "at least one \"different from\" statement"))) %>%
  group_by(has) %>%
  summarize(prop = sprintf("%.1f%%", 100 * mean(val))) %>%
  kable(col.names = c("Information an item may have", "How many have a value (in English)"),
        caption = "English completeness of items which are instances of 'group of organisms known by one particular common name'",
        align = c("l", "r")) %>%
  kable_styling("striped") %>%
  group_rows(index = c("Indexed for search as text" = 3, "Indexed for search as statement_keywords" = 2))
```

As before, we can also look at combinations of missing fields to determine how many items would be easily found by searching (e.g. an item which has a label, a description, and an alias would be more likely to be found by someone looking for it than an item with only, say, a label):

```{r}
commons_completeness <- commons %>%
  transmute(
    item = item,
    label = !is.na(label),
    description = !is.na(description),
    `alias(es)` = map_int(aliases, ~ sum(!is.na(.x))) > 0,
    `at least one "of" qualifier` = map_int(groups, ~ sum(!is.na(.x[[1]]$item))) > 0,
    `at least one "different from" statement` = map_int(different_from, ~ sum(!is.na(.x[[1]]$item))) > 0
  ) %>%
  gather(has, val, -item) %>%
  mutate(has = factor(has, c("label", "description", "alias(es)", "at least one \"of\" qualifier", "at least one \"different from\" statement"))) %>%
  filter(val) %>%
  group_by(item) %>%
  summarize(n_has = n(), has = paste0(has, collapse = ", ")) %>%
  count(n_has, has) %>%
  arrange(desc(n_has), desc(n)) %>%
  mutate(prop = sprintf("%.2f%%", 100 * n / sum(n)))
commons_completeness %>%
  dplyr::select(-n_has) %>%
  kable(escape = FALSE, caption = "English information completeness of 'group of organisms known by one particular common name' instances on Wikidata",
        col.names = c("Fields of information available (in English)", "Items on Wikidata", "Proportion among all such instances")) %>%
  kable_styling(bootstrap_options = "striped") %>%
  group_rows(index = auto_index(commons_completeness$n_has), group_label = "Fields available for an item")
```
