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4 changes: 2 additions & 2 deletions _freeze/docs/authoring/penguins-qmd/execute-results/html.json
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{
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"markdown": "---\ntitle: \"Palmer Penguins (`.qmd`)\"\n---\n\n::: {.cell}\n\n```{.r .cell-code}\nlibrary(tidyverse)\n```\n\n::: {.cell-output .cell-output-stderr}\n\n```\n── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──\n✔ dplyr 1.1.2 ✔ readr 2.1.4\n✔ forcats 1.0.0 ✔ stringr 1.5.0\n✔ ggplot2 3.4.2 ✔ tibble 3.2.1\n✔ lubridate 1.9.2 ✔ tidyr 1.3.0\n✔ purrr 1.0.1 \n── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──\n✖ dplyr::filter() masks stats::filter()\n✖ dplyr::lag() masks stats::lag()\nℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors\n```\n\n\n:::\n\n```{.r .cell-code}\nlibrary(palmerpenguins)\n```\n:::\n\n\nData from [Palmer Penguins R package](https://allisonhorst.github.io/palmerpenguins/)\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\npenguins |> count(species)\n```\n\n::: {.cell-output .cell-output-stdout}\n\n```\n# A tibble: 3 × 2\n species n\n <fct> <int>\n1 Adelie 152\n2 Chinstrap 68\n3 Gentoo 124\n```\n\n\n:::\n:::\n\n::: {.cell}\n\n```{.r .cell-code}\ncolors <- c(\"#FF8C00\", \"#A020F0\", \"#008B8B\")\n```\n:::\n\n::: {.cell}\n\n```{.r .cell-code}\nggplot(penguins, aes(body_mass_g, flipper_length_mm)) +\n geom_point(aes(color = species)) +\n scale_color_manual(values = colors) +\n theme_minimal()\n```\n\n::: {.cell-output .cell-output-stderr}\n\n```\nWarning: Removed 2 rows containing missing values (`geom_point()`).\n```\n\n\n:::\n\n::: {.cell-output-display}\n![](penguins-qmd_files/figure-html/fig-size-scatter-1.png){#fig-size-scatter width=672}\n:::\n:::",
"markdown": "---\ntitle: \"Palmer Penguins (.qmd)\"\n---\n\n\n::: {.cell}\n\n```{.r .cell-code}\nlibrary(tidyverse)\n```\n\n::: {.cell-output .cell-output-stderr}\n\n```\n── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──\n✔ dplyr 1.2.0 ✔ readr 2.1.6\n✔ forcats 1.0.1 ✔ stringr 1.6.0\n✔ ggplot2 4.0.2 ✔ tibble 3.3.1\n✔ lubridate 1.9.5 ✔ tidyr 1.3.2\n✔ purrr 1.2.1 \n── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──\n✖ dplyr::filter() masks stats::filter()\n✖ dplyr::lag() masks stats::lag()\nℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors\n```\n\n\n:::\n\n```{.r .cell-code}\nlibrary(palmerpenguins)\n```\n\n::: {.cell-output .cell-output-stderr}\n\n```\n\nAttaching package: 'palmerpenguins'\n\nThe following objects are masked from 'package:datasets':\n\n penguins, penguins_raw\n```\n\n\n:::\n:::\n\n\nData from [Palmer Penguins R package](https://allisonhorst.github.io/palmerpenguins/)\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\npenguins |> count(species)\n```\n\n::: {.cell-output .cell-output-stdout}\n\n```\n# A tibble: 3 × 2\n species n\n <fct> <int>\n1 Adelie 152\n2 Chinstrap 68\n3 Gentoo 124\n```\n\n\n:::\n:::\n\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\ncolors <- c(\"#FF8C00\", \"#A020F0\", \"#008B8B\")\n```\n:::\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\nggplot(penguins, aes(body_mass_g, flipper_length_mm)) +\n geom_point(aes(color = species)) +\n scale_color_manual(values = colors) +\n theme_minimal()\n```\n\n::: {.cell-output .cell-output-stderr}\n\n```\nWarning: Removed 2 rows containing missing values or values outside the scale range\n(`geom_point()`).\n```\n\n\n:::\n\n::: {.cell-output-display}\n![](penguins-qmd_files/figure-html/fig-size-scatter-1.png){#fig-size-scatter fig-alt='Scatterplot of flipper length against body mass for 344 penguins, colored by species. Flipper length increases with body mass, and Gentoo penguins sit apart from Adelie and Chinstrap at the highest values of both.' width=288}\n:::\n:::\n",
"supporting": [
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],
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{
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"markdown": "---\ntitle: \"Palmer Penguins (.qmd)\"\n---\n\n::: {.cell}\n\n```{.r .cell-code}\nlibrary(tidyverse)\n```\n\n::: {.cell-output .cell-output-stderr}\n\n```\n── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──\n✔ dplyr 1.1.2 ✔ readr 2.1.4\n✔ forcats 1.0.0 ✔ stringr 1.5.0\n✔ ggplot2 3.4.2 ✔ tibble 3.2.1\n✔ lubridate 1.9.2 ✔ tidyr 1.3.0\n✔ purrr 1.0.1 \n── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──\n✖ dplyr::filter() masks stats::filter()\n✖ dplyr::lag() masks stats::lag()\nℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors\n```\n\n\n:::\n\n```{.r .cell-code}\nlibrary(palmerpenguins)\n```\n:::\n\n\nData from [Palmer Penguins R package](https://allisonhorst.github.io/palmerpenguins/)\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\npenguins |> count(species)\n```\n\n::: {.cell-output .cell-output-stdout}\n\n```\n# A tibble: 3 × 2\n species n\n <fct> <int>\n1 Adelie 152\n2 Chinstrap 68\n3 Gentoo 124\n```\n\n\n:::\n:::\n\n::: {.cell}\n\n```{.r .cell-code}\ncolors <- c(\"#FF8C00\", \"#A020F0\", \"#008B8B\")\n```\n:::\n\n::: {#cell-fig-size-scatter .cell}\n\n```{.r .cell-code}\n#| label: fig-size-scatter\nggplot(penguins, aes(body_mass_g, flipper_length_mm)) +\n geom_point(aes(color = species)) +\n scale_color_manual(values = colors) +\n theme_minimal()\n```\n\n::: {.cell-output .cell-output-stderr}\n\n```\nWarning: Removed 2 rows containing missing values (`geom_point()`).\n```\n\n\n:::\n\n::: {.cell-output-display}\n![](penguins-qmd_files/figure-ipynb/fig-size-scatter-1.png){#fig-size-scatter}\n:::\n:::",
"markdown": "---\ntitle: \"Palmer Penguins (.qmd)\"\n---\n\n\n::: {.cell}\n\n```{.r .cell-code}\nlibrary(tidyverse)\n```\n\n::: {.cell-output .cell-output-stderr}\n\n```\n── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──\n✔ dplyr 1.2.1 ✔ readr 2.2.0\n✔ forcats 1.0.1 ✔ stringr 1.6.0\n✔ ggplot2 4.0.3 ✔ tibble 3.3.1\n✔ lubridate 1.9.5 ✔ tidyr 1.3.2\n✔ purrr 1.2.2 \n── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──\n✖ dplyr::filter() masks stats::filter()\n✖ dplyr::lag() masks stats::lag()\nℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors\n```\n\n\n:::\n\n```{.r .cell-code}\nlibrary(palmerpenguins)\n```\n\n::: {.cell-output .cell-output-stderr}\n\n```\n\nAttaching package: 'palmerpenguins'\n\nThe following objects are masked from 'package:datasets':\n\n penguins, penguins_raw\n```\n\n\n:::\n:::\n\n\nData from [Palmer Penguins R package](https://allisonhorst.github.io/palmerpenguins/)\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\npenguins |> count(species)\n```\n\n::: {.cell-output .cell-output-stdout}\n\n```\n# A tibble: 3 × 2\n species n\n <fct> <int>\n1 Adelie 152\n2 Chinstrap 68\n3 Gentoo 124\n```\n\n\n:::\n:::\n\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\ncolors <- c(\"#FF8C00\", \"#A020F0\", \"#008B8B\")\n```\n:::\n\n\n\n::: {#cell-fig-size-scatter .cell}\n\n```{.r .cell-code}\n#| label: fig-size-scatter\n#| fig-width: 3\n#| fig-height: 3\n#| fig-alt: \"Scatterplot of flipper length against body mass for 344 penguins, colored by species. Flipper length increases with body mass, and Gentoo penguins sit apart from Adelie and Chinstrap at the highest values of both.\"\nggplot(penguins, aes(body_mass_g, flipper_length_mm)) +\n geom_point(aes(color = species)) +\n scale_color_manual(values = colors) +\n theme_minimal()\n```\n\n::: {.cell-output .cell-output-stderr}\n\n```\nWarning: Removed 2 rows containing missing values or values outside the scale range\n(`geom_point()`).\n```\n\n\n:::\n\n::: {.cell-output-display}\n![](penguins-qmd_files/figure-ipynb/fig-size-scatter-1.png){#fig-size-scatter fig-alt='Scatterplot of flipper length against body mass for 344 penguins, colored by species. Flipper length increases with body mass, and Gentoo penguins sit apart from Adelie and Chinstrap at the highest values of both.'}\n:::\n:::\n",
"supporting": [
"penguins-qmd_files/figure-ipynb"
],
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2 changes: 1 addition & 1 deletion _freeze/docs/authoring/tables/execute-results/html.json

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21 changes: 21 additions & 0 deletions _freeze/site_libs/htmltools-fill-0.5.9/fill.css
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.html-fill-container {
display: flex;
flex-direction: column;
/* Prevent the container from expanding vertically or horizontally beyond its
parent's constraints. */
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min-width: 0;
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available vertical space in fillable container */
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min-height: 0;
min-width: 0;
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.html-fill-container > :not(.html-fill-item) {
/* Prevent shrinking or growing of non-fill items */
flex: 0 0 auto;
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