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listing-9.14.js
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"use strict";
const dataForge = require('data-forge');
const renderLineChart = require('./toolkit/charts.js').renderLineChart;
const average = require('./toolkit/statistics.js').average;
const linearRegression = require('./toolkit/time-series.js').linearRegression;
//
// Summarize our data by year.
//
function summarizeByYear (dataFrame) {
return dataFrame
.parseInts(["Year"])
.parseFloats(["MinTemp", "MaxTemp"])
.generateSeries({
AvgTemp: row => (row.MinTemp + row.MaxTemp) / 2, // Generate daily average temperature.
})
.groupBy(row => row.Year) // Group by year and summarize.
.select(group => {
return {
Year: group.first().Year,
AvgTemp: average(group.select(row => row.AvgTemp).toArray())
};
})
.inflate(); // Convert to a dataframe, because groupBy returns a series.
};
let dataFrame = dataForge.readFileSync("./data/nyc-weather.csv")
.parseCSV();
dataFrame = summarizeByYear(dataFrame)
.concat(new dataForge.DataFrame([ // Add in a stub record for forecasted year, we will soon populate this with a forecasted value.
{
Year: 2100
}
]))
.setIndex("Year"); // Index by year so we can merge in the forecasted time series.
const forecastSeries = linearRegression(dataFrame.getSeries("AvgTemp"), 1917, 2100); // Compute the linear regression for the temperature time series.
dataFrame = dataFrame // Merge the forecast into the dataframe.
.withSeries({
ForecastYear: new dataForge.Series({ // Need to provide this extra series as a new X axis in the C3 chart.
values: [1917, 2100],
index: [1917, 2100], // Must index by year to integrate into the dataframe!
}),
Forecast: forecastSeries,
});
const outputChartFile = "./output/nyc-yearly-trend-with-forecast.png";
renderLineChart(dataFrame, ["Year", "ForecastYear"], ["AvgTemp", "Forecast"], outputChartFile)
.catch(err => {
console.error(err);
});