Fiskeri og fangst


Fiskeri
FIX008_raw <- 
  statgl_url("FIX008", lang = language) %>%
  statgl_fetch(
    time      = px_top(1),
    nation    = "GRL",
    species   = px_all(),
    unit      = px_all(),
    .col_code = TRUE
  ) %>% 
  as_tibble()


FIX008 <- 
  FIX008_raw %>% 
  select(time, unit, species, value) %>% 
  filter(value != 0) %>% 
  spread(unit, value)

FIX008 %>% 
  select(-1) %>% 
  rename(" " = 1) %>% 
  statgl_table() %>% 
  pack_rows(index = FIX008[["time"]] %>% table())
1.000 kr. Ton
2023
Andre arter 1.778 128
Bifangst 11.651 872
Blåhvilling 72.669 25.988
Hellefisk 351.010 12.430
Helleflynder 229 9
Kammuslinger 11.329 629
Kuller 9.083 665
Lodde 199.338 46.431
Makrel 285.751 29.090
Rejer 1.942.454 61.914
Rødfisk 25.201 2.576
Sej 4.778 410
Sild 45.561 7.334
Torsk 524.421 29.190


Se Statistikbankens tabel: FIX008

Fangst


FIX004_raw <- 
  statgl_url("FIX004", lang = language) %>% 
  statgl_fetch(
    time      = px_all(),
    species   = px_all(),
    unit      = px_all(),
    .col_code = TRUE
  ) %>% 
  as_tibble()

FIX004 <- 
  FIX004_raw %>% 
  filter(
    time == max(time),
    value != 0
    ) %>% 
  spread(unit, value)

FIX004 %>% 
  select(-1) %>% 
  rename(" " = 1) %>% 
  statgl_table() %>% 
  pack_rows(index = FIX004[["time"]] %>% table())
1.000 kr. Ton
2022
Får 1.699 47,16
Lam 16.057 292,49
Landpattedyr, uspec. 1.058 12,42
Ren 376 4,65


Se Statistikbankens tabel: FIX004

FIXBEVIS_raw <- 
  statgl_url("FIXBEVIS", lang = language) %>% 
  statgl_fetch(
    "geographic location" = px_all(),
    sex                   = px_all(),
    time                  = px_all(),
    .col_code             = TRUE
  ) %>% 
  as_tibble()

FIXBEVIS <- 
  FIXBEVIS_raw %>% 
  filter(time == max(time)) %>% 
  spread(`geographic location`, value)


FIXBEVIS %>% 
  select(-time) %>% 
  rename(" " = 1) %>% 
  statgl_table() %>% 
  pack_rows(index = FIXBEVIS[["time"]] %>% table())
sex By Bygd
2022
Erhvervsfanger Kvinde 11 9
Erhvervsfanger Mand 1.037 966
Fritidsfanger Kvinde 947 163
Fritidsfanger Mand 3.533 478


Se Statistikbankens tabel: FIXBEVIS

Landbrug
FIXHDYR_raw <- 
  statgl_url("FIXHDYR", lang = language) %>% 
  statgl_fetch(
    species   = px_all(),
    time      = px_all(),
    .col_code = TRUE
  ) %>% 
  as_tibble()


FIXHDYR <-
  FIXHDYR_raw %>% 
  filter(time == max(time)) %>% 
  filter(value != "NA")



if(language == "da"){
  table <- FIXHDYR %>% rename("Antal" = value)
} else if(language == "kl"){
  table <- FIXHDYR %>% rename("Qassiuneri" = value)
} else {
  table <- FIXHDYR %>% rename("Pieces" = value)
}


table %>% 
  select(-time) %>% 
  rename(" " = 1) %>% 
  statgl_table() %>% 
  pack_rows(index = FIXHDYR[["time"]] %>% table())
Antal
2021
Får 18.184
Tamren 3.000
Kvæg 356
Heste 146
Høns 219


Se Statistikbankens tabel: FIXHDYR

Prisindeks
FIX009_raw <- 
  statgl_url("FIX009", lang = language) %>% 
  statgl_fetch(
    time      = px_all(),
    quarter   = 4,
    species   = c(3, 7, 10),
    .col_code = TRUE
  ) %>% 
  as_tibble()



FIX009 <- 
  FIX009_raw %>% 
  filter(value != "NA") %>% 
  spread(time, value)



FIX009 %>% 
  select(-quarter) %>% 
  rename(" " = 1) %>% 
  statgl_table() %>% 
  pack_rows(index = FIX009[["quarter"]] %>% table())
2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
Gennemsnit
Hellefisk, total 100 116 127 121,7 123 154 149 151 154 148 134 132 161
Rejer, total 100 115 145 147,5 166 202 202 196 207 196 169 166 188
Torsk, total 100 118 115 90,3 103 137 135 144 165 186 162 163 228


Se Statistikbankens tabel: FIX009

Forbrug af havets ressourcer
FIX020_raw <- 
  statgl_url("FIX020", lang = language) %>% 
  statgl_fetch(
    species = px_all(),
    form = px_all(),
    time = px_all(),
    .col_code = TRUE
  ) %>% 
  as_tibble()

FIX020 <- 
  FIX020_raw %>% 
  filter(time == max(time)) %>% 
  spread(form, value)


FIX020 %>% 
  select(-time) %>% 
  rename(" " = 1) %>% 
  statgl_table(replace_0s = TRUE) %>% 
  pack_rows(index = FIX020[["time"]] %>% table())
Fangst Kvote Rådgivning
2021
Finhval 2 19 19
Grønlandshval 0 2 2
Hvalros 127 170 189
Hvidhval 148 294 302
Isbjørn 137 156 146
Narhval 419 499 419
Pukkelhval 7 10 10
Vågehval 198 184 184


Se Statistikbankens tabel: FIX020


Sidst opdateret: 17. april 2024
---
params:
  lang: "da"
output:
  statgl::statgl_report:
    code_download: true
    code_folding: hide
editor_options: 
  chunk_output_type: console
---

```{r setup, include=FALSE}

knitr::opts_chunk$set(
	echo    = TRUE,
	message = FALSE,
	warning = FALSE,
	class.output = "scroll-100"
)

library("tidyverse")
library("statgl")
library("kableExtra")
library("lubridate")
library("yaml")

language  <- params$lang
option    <- paste0("?lang=", language, "&select")
logo      <- paste0(getwd(),"/add/logo.gif")
txt       <- read_yaml(paste0(getwd(), "/add/txt.yml"), fileEncoding = "ISO-8859-1")
source    <- txt$source[language] %>% unlist()

xaringanExtra::use_clipboard()

```

```{css, echo = FALSE}

.accordion {
  background-color: #919900;
  color: white;
  cursor: pointer;
  padding: 18px;
  width: 100%;
  border: none;
  border-radius: 5px;
  text-align: left;
  outline: none;
  font-size: 15px;
  transition: 0.4s;
}

.active, .accordion:hover {
  background-color: #f97242;
}

.accordion:after {
  content: '\002B';
  color: #777;
  font-weight: bold;
  float: right;
  margin-left: 5px;
}

.active:after {
  content: "\2212";
}

.panel {
  padding: 0px 5px 0px 5px;
  background-color: white;
  max-height: 0;
  overflow: hidden;
  transition: max-height 0.2s ease-out;
}

details {
  width: 100%;
}

details > summary {
  padding: 4px 12px;
  width: 100%;
  background-color: #007f99;
  border: solid;
  border-color: white;
  border-radius: 5px;
  cursor: pointer;
  font-size: 15px;
  color: white;
}

details[open] > summary {
  background-color: #faa41a;
}


.title {
  color: #1b5463;
  font-size: 36px;
}


.personer {
  box-shadow: 3px 3px 4px black;
  background: #004459;
  padding-right: 15px;
  padding-left: 16px;
  padding-top: 0.1px;
  padding-bottom: 1px;
  font-size: 11px;
  color: white;
  vertical-align: middle;
}

.økonomi {
  box-shadow: 3px 3px 4px black;
  background: #007F99;
  padding-right: 15px;
  padding-left: 16px;
  padding-top: 1px;
  padding-bottom: 0.1px;
  font-size: 11px;
  color: white;
  vertical-align: middle;
}

.tværgående {
  box-shadow: 3px 3px 4px black;
  background: #faa41a;
  padding-right: 15px;
  padding-left: 16px;
  padding-top: 0.1px;
  padding-bottom: 1px;
  font-size: 11px;
  color: white;
  vertical-align: middle;
}

.container {
  width: inherit;
}

.scroll-100 {
  max-height: 100;
  overflow-y: auto;
  background-color: inherit;
}


pre {
  max-height: 300px;
  overflow-y: auto;
}

pre[class] {
  max-height: 300px;
}

```

<br>
<br>

<center>

---
 
# [`r txt$FI$title[language]`]{.title}
 
---
</center>

<details> <summary> `r txt$FI$sub1[language]` </summary> 
<br>
<button class="accordion"> `r paste0("**Tabel 1: **", statgl_meta(statgl_url("FIX008", lang = language))[1]$title) ` </button> <div class="panel">
```{r FIX008}

FIX008_raw <- 
  statgl_url("FIX008", lang = language) %>%
  statgl_fetch(
    time      = px_top(1),
    nation    = "GRL",
    species   = px_all(),
    unit      = px_all(),
    .col_code = TRUE
  ) %>% 
  as_tibble()


FIX008 <- 
  FIX008_raw %>% 
  select(time, unit, species, value) %>% 
  filter(value != 0) %>% 
  spread(unit, value)

FIX008 %>% 
  select(-1) %>% 
  rename(" " = 1) %>% 
  statgl_table() %>% 
  pack_rows(index = FIX008[["time"]] %>% table())
  

```
<br>
[![](`r logo`){width=40}`r paste(source, "FIX008")`](`r paste0("https://bank.stat.gl:443/sq/3e67f02e-f8af-48ad-b045-c8d78597b092", option)`){target="_blank"}
</div> 
</details>


<details> <summary> `r txt$FI$sub2[language]` </summary>
<br>

<button class="accordion"> `r paste0("**Tabel 2: **", statgl_meta(statgl_url("FIX004", lang = language))[1]$title) ` </button> <div class="panel">

```{r FIX004}

FIX004_raw <- 
  statgl_url("FIX004", lang = language) %>% 
  statgl_fetch(
    time      = px_all(),
    species   = px_all(),
    unit      = px_all(),
    .col_code = TRUE
  ) %>% 
  as_tibble()

FIX004 <- 
  FIX004_raw %>% 
  filter(
    time == max(time),
    value != 0
    ) %>% 
  spread(unit, value)

FIX004 %>% 
  select(-1) %>% 
  rename(" " = 1) %>% 
  statgl_table() %>% 
  pack_rows(index = FIX004[["time"]] %>% table())





```
<br>
[![](`r logo`){width=40}`r paste(source, "FIX004")`](`r paste0("https://bank.stat.gl:443/sq/509accef-206c-4281-83bd-aaae93b763d6", option)`){target="_blank"}
</div> 


<button class="accordion"> `r paste0("**Tabel 3: **", statgl_meta(statgl_url("FIXBEVIS", lang = language))[1]$title) ` </button> <div class="panel">

```{r FIXBEVIS}

FIXBEVIS_raw <- 
  statgl_url("FIXBEVIS", lang = language) %>% 
  statgl_fetch(
    "geographic location" = px_all(),
    sex                   = px_all(),
    time                  = px_all(),
    .col_code             = TRUE
  ) %>% 
  as_tibble()

FIXBEVIS <- 
  FIXBEVIS_raw %>% 
  filter(time == max(time)) %>% 
  spread(`geographic location`, value)


FIXBEVIS %>% 
  select(-time) %>% 
  rename(" " = 1) %>% 
  statgl_table() %>% 
  pack_rows(index = FIXBEVIS[["time"]] %>% table())



```
<br>
[![](`r logo`){width=40}`r paste(source, "FIXBEVIS")`](`r paste0("https://bank.stat.gl:443/sq/33f0757a-344b-48c0-adfc-012bd1950012", option)`){target="_blank"}
</div> 
</details> 


<details> <summary> `r txt$FI$sub3[language]` </summary>
<br>
<button class="accordion"> `r paste0("**Tabel 4: **", statgl_meta(statgl_url("FIXHDYR", lang = language))[1]$title) ` </button> <div class="panel">

```{r FIXHDYR}

FIXHDYR_raw <- 
  statgl_url("FIXHDYR", lang = language) %>% 
  statgl_fetch(
    species   = px_all(),
    time      = px_all(),
    .col_code = TRUE
  ) %>% 
  as_tibble()


FIXHDYR <-
  FIXHDYR_raw %>% 
  filter(time == max(time)) %>% 
  filter(value != "NA")



if(language == "da"){
  table <- FIXHDYR %>% rename("Antal" = value)
} else if(language == "kl"){
  table <- FIXHDYR %>% rename("Qassiuneri" = value)
} else {
  table <- FIXHDYR %>% rename("Pieces" = value)
}


table %>% 
  select(-time) %>% 
  rename(" " = 1) %>% 
  statgl_table() %>% 
  pack_rows(index = FIXHDYR[["time"]] %>% table())
  

```
<br>
[![](`r logo`){width=40}`r paste(source, "FIXHDYR")`](`r paste0("https://bank.stat.gl:443/sq/27817eb8-cc3b-40d4-bf60-3ce8e80e0ef3", option)`){target="_blank"}
</div> 
</details>


<details> <summary> `r txt$FI$sub4[language]` </summary>
<br>
<button class="accordion"> `r paste0("**Tabel 5: **", statgl_meta(statgl_url("FIX009", lang = language))[1]$title) ` </button> <div class="panel">

```{r ARXLED4}

FIX009_raw <- 
  statgl_url("FIX009", lang = language) %>% 
  statgl_fetch(
    time      = px_all(),
    quarter   = 4,
    species   = c(3, 7, 10),
    .col_code = TRUE
  ) %>% 
  as_tibble()



FIX009 <- 
  FIX009_raw %>% 
  filter(value != "NA") %>% 
  spread(time, value)



FIX009 %>% 
  select(-quarter) %>% 
  rename(" " = 1) %>% 
  statgl_table() %>% 
  pack_rows(index = FIX009[["quarter"]] %>% table())






```
<br>
[![](`r logo`){width=40}`r paste(source, "FIX009")`](`r paste0("https://bank.stat.gl:443/sq/b237976b-3a41-4412-b815-e54fc310bc89", option)`){target="_blank"}
</div> 
</details> 

<details> <summary> `r txt$FI$sub5[language]` </summary>
<br>
<button class="accordion"> `r paste0("**Tabel 6: **", statgl_meta(statgl_url("FIX020", lang = language))[1]$title) ` </button> <div class="panel">

```{r FIX020}

FIX020_raw <- 
  statgl_url("FIX020", lang = language) %>% 
  statgl_fetch(
    species = px_all(),
    form = px_all(),
    time = px_all(),
    .col_code = TRUE
  ) %>% 
  as_tibble()

FIX020 <- 
  FIX020_raw %>% 
  filter(time == max(time)) %>% 
  spread(form, value)


FIX020 %>% 
  select(-time) %>% 
  rename(" " = 1) %>% 
  statgl_table(replace_0s = TRUE) %>% 
  pack_rows(index = FIX020[["time"]] %>% table())




```
<br>
[![](`r logo`){width=40}`r paste(source, "FIX020")`](`r paste0("https://bank.stat.gl:443/sq/e643ea97-f1a3-4687-9648-413bfad540d8", option)`){target="_blank"}
</div> 
</details> 



<hr style="border:1px ridge lightgray"> </hr>
<center> <span style='color:#D3D3D3; font-size:90%;'> `r paste(txt$update[language], format(Sys.Date(), "%d. %B %Y"))` </span> </center>




<script>
var acc = document.getElementsByClassName("accordion");
var i;

for (i = 0; i < acc.length; i++) {
  acc[i].addEventListener("click", function() {
    this.classList.toggle("active");
    var panel = this.nextElementSibling;
    if (panel.style.maxHeight) {
      panel.style.maxHeight = null;
    } else {
      panel.style.maxHeight = panel.scrollHeight + "px";
    } 
  });
}
</script>


