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jeromedockes committed Aug 3, 2024
1 parent a9c027a commit af18055
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347 changes: 173 additions & 174 deletions examples/AMES Housing.html

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199 changes: 96 additions & 103 deletions examples/drug_directory.html

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4 changes: 2 additions & 2 deletions examples/index.html
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Expand Up @@ -558,14 +558,14 @@

<div class="small-banner flex padding">
<a href="https://skrub-data.org/"><img class="skrub" src="../skrub.svg"></a>
<a href="https://skrub-data.org/dev/reference/generated/skrub.TableReport.html#"
<a href="https://skrub-data.org/stable/reference/generated/skrub.TableReport.html#"
class="table-report"><code>skrub.TableReport</code></a>
</div>

<main>
<p class="narrow-wrapper">
Follow one of the links below to see a report computed with
<a href="https://skrub-data.org/dev/reference/generated/skrub.TableReport.html#" class="table-report"><code>skrub.TableReport</code></a>
<a href="https://skrub-data.org/stable/reference/generated/skrub.TableReport.html#" class="table-report"><code>skrub.TableReport</code></a>
for the corresponding dataset.
</p>
<ul class="examples-index example-dataset-list">
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123 changes: 52 additions & 71 deletions examples/medical_charge.html

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79 changes: 39 additions & 40 deletions examples/titanic.html

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269 changes: 134 additions & 135 deletions examples/traffic_violations.html

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16 changes: 8 additions & 8 deletions index.html
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Expand Up @@ -531,8 +531,8 @@
}
</style>
<link rel="icon" href="skrub.svg">
<script src="copybutton.js?__skrub_00ab__" defer></script>
<script src="skrub-online-report.js?__skrub_00ab__" defer></script>
<script src="copybutton.js?__skrub_e2ec__" defer></script>
<script src="skrub-online-report.js?__skrub_e2ec__" defer></script>
</head>

<body class="color-links">
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<h1 class="banner"><span class="from">from</span> <a href="https://skrub-data.org/"><img
class="skrub" src="skrub.svg"></a> <span
class="import">import</span> <a
href="https://skrub-data.org/dev/reference/generated/skrub.TableReport.html#"
href="https://skrub-data.org/stable/reference/generated/skrub.TableReport.html#"
class="table-report">TableReport</a></h1>
<div class="wrapper">
<p>
This page allows you to try out the
<a href="https://skrub-data.org/dev/reference/generated/skrub.TableReport.html#"><code>TableReport</code></a>
<a href="https://skrub-data.org/stable/reference/generated/skrub.TableReport.html#"><code>TableReport</code></a>
from the <a href="https://skrub-data.org/">Skrub</a> Python library.
</p>
<p>
Expand All @@ -580,9 +580,9 @@ <h2>This online demo is experimental.</h2>
a small file (<strong>less than 100 MB</strong>).
A <strong>more reliable and performant way</strong> of generating
reports is to
<a href="https://skrub-data.org/dev/install.html#advanced-usage-for-contributors">install</a>
<a href="https://skrub-data.org/stable/install.html">install</a>
skrub and use a Python script — see an
<a href="https://skrub-data.org/dev/auto_examples/00_getting_started.html#generating-an-interactive-report-for-a-dataframe">example</a>.
<a href="https://skrub-data.org/stable/auto_examples/00_getting_started.html#generating-an-interactive-report-for-a-dataframe">example</a>.
</p>
</div>
</div>
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<div>
<p>
To produce the same report from Python code,
<a href="https://skrub-data.org/dev/install.html#advanced-usage-for-contributors">install</a>
the development version of Skrub and execute:
<a href="https://skrub-data.org/stable/install.html#advanced-usage-for-contributors">install</a>
Skrub and execute:
</p>
<div class="tabs">
<input type="radio" name="library" id="pandas" checked />
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2 changes: 1 addition & 1 deletion skrub-online-report.js
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Expand Up @@ -44,7 +44,7 @@ class App {
this.handlers.push(new cls(elem, this));
}

this.worker = new Worker("skrub-worker.js?__skrub_00ab__");
this.worker = new Worker("skrub-worker.js?__skrub_e2ec__");
this.worker.onmessage = (e) => {
this.receive(e.data);
};
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2 changes: 1 addition & 1 deletion skrub-worker.js
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Expand Up @@ -13,7 +13,7 @@ async function startPyodide() {
await self.pyodide.loadPackage("micropip");
const micropip = self.pyodide.pyimport("micropip");
await micropip.install(["pandas", "fastparquet", "matplotlib",
"skrub-0.3.0.dev0-py3-none-any.whl?__skrub_00ab__",
"skrub-0.3.0-py3-none-any.whl?__skrub_e2ec__",
"clevercsv-0.8.2-cp312-cp312-pyodide_2024_0_wasm32.whl"
]);
await pyodide.runPython(`
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