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* dataprod: More yhat stuff Add annual mean pollution example Start playing with yhat
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## Create dataset of PM and O3 for all US taking year 2013 (annual | ||
## data from EPA) | ||
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## This uses data from | ||
## http://aqsdr1.epa.gov/aqsweb/aqstmp/airdata/download_files.html | ||
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## Read in the 2013 Annual Data | ||
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d <- read.csv("annual_all_2013.csv", nrow = 68210) | ||
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sub <- subset(d, Parameter.Name %in% c("PM2.5 - Local Conditions", "Ozone") | ||
& Pullutant.Standard %in% c("Ozone 8-Hour 2008", "PM25 Annual 2006"), | ||
c(State.Code, County.Code, Site.Num, Longitude, Latitude, Parameter.Name, Arithmetic.Mean, County.Name, City.Name, Pullutant.Standard)) | ||
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pollavg <- aggregate(sub[, "Arithmetic.Mean"], | ||
sub[, c("Longitude", "Latitude", "Parameter.Name")], | ||
mean, na.rm = TRUE) | ||
pollavg$Parameter.Name <- factor(pollavg$Parameter.Name, labels = c("ozone", "pm25")) | ||
names(pollavg)[4] <- "level" | ||
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## Remove unneeded objects | ||
rm(d, sub) | ||
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## library(fields) | ||
rdist <- function (x1, x2, miles = TRUE, R = NULL) { | ||
if (is.null(R)) { | ||
if (miles) | ||
R <- 3963.34 | ||
else R <- 6378.388 | ||
} | ||
coslat1 <- cos((x1[, 2] * pi)/180) | ||
sinlat1 <- sin((x1[, 2] * pi)/180) | ||
coslon1 <- cos((x1[, 1] * pi)/180) | ||
sinlon1 <- sin((x1[, 1] * pi)/180) | ||
if (missing(x2)) { | ||
pp <- cbind(coslat1 * coslon1, coslat1 * sinlon1, sinlat1) %*% | ||
t(cbind(coslat1 * coslon1, coslat1 * sinlon1, sinlat1)) | ||
return(R * acos(ifelse(abs(pp) > 1, 1 * sign(pp), pp))) | ||
} | ||
else { | ||
coslat2 <- cos((x2[, 2] * pi)/180) | ||
sinlat2 <- sin((x2[, 2] * pi)/180) | ||
coslon2 <- cos((x2[, 1] * pi)/180) | ||
sinlon2 <- sin((x2[, 1] * pi)/180) | ||
pp <- cbind(coslat1 * coslon1, coslat1 * sinlon1, sinlat1) %*% | ||
t(cbind(coslat2 * coslon2, coslat2 * sinlon2, sinlat2)) | ||
return(R * acos(ifelse(abs(pp) > 1, 1 * sign(pp), pp))) | ||
} | ||
} | ||
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monitors <- data.matrix(pollavg[, c("Longitude", "Latitude")]) | ||
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pollutant <- function(df) { | ||
x <- data.matrix(df[, c("lon", "lat")]) | ||
r <- df$radius | ||
d <- rdist(monitors, x) | ||
use <- lapply(seq_len(ncol(d)), function(i) { | ||
which(d[, i] < r[i]) | ||
}) | ||
levels <- sapply(use, function(idx) { | ||
with(pollavg[idx, ], tapply(level, Parameter.Name, mean)) | ||
}) | ||
dlevel <- as.data.frame(t(levels)) | ||
data.frame(df, dlevel) | ||
} | ||
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library(yhatr) | ||
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model.transform <- function(df) { | ||
df | ||
} | ||
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model.predict <- function(df) { | ||
pollutant(df) | ||
} | ||
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yhat.config <- c( | ||
username="[email protected]", | ||
apikey="90d2a80bb532cabb2387aa51ac4553cc", | ||
env="http://sandbox.yhathq.com/" | ||
) | ||
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yhat.deploy("pollutant") | ||
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################################################################################ | ||
## Client side | ||
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library(yhatr) | ||
yhat.config <- c( | ||
username="[email protected]", | ||
apikey="90d2a80bb532cabb2387aa51ac4553cc", | ||
env="http://sandbox.yhathq.com/" | ||
) | ||
df <- data.frame(lon = c(-76.6167, -118.25), lat = c(39.2833, 34.05), | ||
radius = 20) | ||
yhat.predict("pollutant", df) |
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09_DevelopingDataProducts/yhat/annual_all_2013.csv
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library(yhatr) | ||
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model.require <- function() { | ||
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} | ||
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model.transform <- function(df) { | ||
df | ||
} | ||
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model.predict <- function(df) { | ||
data.frame(version = R.version.string, stringsAsFactors = FALSE) | ||
} | ||
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yhat.config <- c( | ||
username="[email protected]", | ||
apikey="90d2a80bb532cabb2387aa51ac4553cc", | ||
env="http://sandbox.yhathq.com/" | ||
) | ||
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yhat.deploy("environment") |
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<!DOCTYPE HTML> | ||
<html> | ||
<head> | ||
<meta name="viewport" content="width=device-width"> | ||
<title>What Am I Breathing?</title> | ||
<link href="/static/css/main.css" rel="stylesheet" type="text/css"></link> | ||
</head> | ||
<body> | ||
<div class="container"> | ||
<form id="rec"> | ||
Latitude <input id="lat" type="text" /><br /> | ||
Longitude <input id="lon" type="text" /><br /> | ||
Radius (mi) <input id="radius" type="text" /><br /> | ||
<button class="btn" type="submit">Go!</button> | ||
</form> | ||
<section class="results"> | ||
<p class="lead">Top Ten Recommended Beers</p> | ||
<figure class="visualization row"> | ||
<div class="col-sm-6 col-1"></div> | ||
<div class="col-sm-6 col-2"></div> | ||
</figure> | ||
</section> | ||
<pre id="result" class="language-javascript"><code class="language-javascript"></code></pre> | ||
</div> | ||
<script src="/static/js/jquery-1.10.2.min.js"></script> | ||
<script src="/static/js/code.js"></script> | ||
<script src="/static/js/beers.js"></script> | ||
<script src="/static/js/main.js"></script> | ||
</body> | ||
</html> |
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library(yhatr) | ||
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model.require <- function() { | ||
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} | ||
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model.transform <- function(df) { | ||
df | ||
} | ||
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model.predict <- function(df) { | ||
data.frame(Ozone = predict(fit, newdata = df)) | ||
} | ||
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fit <- lm(Ozone ~ Wind + Temp, data = airquality) | ||
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yhat.config <- c( | ||
username="[email protected]", | ||
apikey="90d2a80bb532cabb2387aa51ac4553cc", | ||
env="http://sandbox.yhathq.com/" | ||
) | ||
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yhat.deploy("ozone") |
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#!/bin/bash | ||
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curl -X POST -H "Content-Type: application/json" --user [email protected]:90d2a80bb532cabb2387aa51ac4553cc --data '{"lon": $1, "lat": $2, "radius": $3 }' http://sandbox.yhathq.com/[email protected]/models/pollutant/ | ||
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#!/bin/bash | ||
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echo $1 | ||
echo $2 | ||
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curl -X POST -H "Content-Type: application/json" \ | ||
--user [email protected]:90d2a80bb532cabb2387aa51ac4553cc \ | ||
--data '{"Wind": $1, "Temp": $2 }' \ | ||
http://sandbox.yhathq.com/[email protected]/models/ozone/ |
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