The avatar for @daniels13ca
Daniel Silva
Ing. de Sistemas, Magister Ing. Industrial. #DataAnalysis #DataScience #MachineLearning #Football
Published
Edited
Jun 13, 2021
2
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md`**Edit me!**`
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Math.PI * 2
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{
let diameter = 20;
let radius = diameter/2;
let area = Math.PI*(radius**2)
return area;
}
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exponent = 10
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2 ** exponent
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md`Observable also allows you to write paragraphs of text styled using the popular [Markdown syntax](https://www.markdownguide.org/basic-syntax/). You can create your own markdown cells with Observable’s builtin <code>md\`\`</code> tag - this cell is an example!`
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html`<details>
<summary>Expand me...</summary>
<p>I’m made of <span style="font-weight:bold">HTML</span>!</p>
</details>`
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md`The exponent is: ** ${exponent} **`
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nycForecast = FileAttachment("canned-forecast.json").json()
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nycForecastPeriods = nycForecast.properties.periods
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import {table} from "@tmcw/tables/2"
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forecastTable = table( // Call the table() function we imported, and
nycForecastPeriods.slice(0, 7).map( // pass it an array with the 1st 7 elements of the forecast data.
(period) => ({ // For each element of period data, display:....
Day: md`**${period.name}**`, // the day/night's name, ...
Temp: md`**${period.temperature}&nbsp;°F**`, // the temperature in °F, ...
Icon: html`<img width=70 src="${period.icon}" style="padding:5px"/>`, // the icon image, ...
Forecast: period[forecastType] // and the forecast text.
})
)
)
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forecastType = 'detailedForecast' // 👈 try replacing 'detailedForecast' with 'shortForecast'
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import { weatherChart } with { nycForecast as forecast } from "@kerryrodden/simple-custom-weather-chart-in-d3"
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weatherChart
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viewof period = html`<select>
${nycForecastPeriods.map(p => html`<option>${p.name}</option>`)}
</select>`
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interactiveChart
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Purpose-built for displays of data

Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
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