Created
February 27, 2015 06:03
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#Hum con cnt# | |
par(mfrow=c(1,4)) | |
data%>% filter(season==1) %>% select(hum,cnt) %>%plot(ylab="Demanda", xlab="Normalized humidity", main="Primavera") | |
data%>% filter(season==1) %>% select(hum,cnt) %>% max() | |
data %>% filter(cnt == max(cnt)) %>% select(hum) | |
points(0.755833,7836,col="red") | |
text(0.75,7500,"Demanda mas alta") | |
# cnt:7836, hum:0.755833# | |
data%>% filter(season==2) %>% select(hum,cnt) %>%plot(ylab="Demanda", xlab="Normalized humidity", main="Verano") | |
data%>% filter(season==2) %>% select(hum,cnt) %>% max() | |
data %>% filter(cnt == max(cnt)) %>% select(hum) | |
points(0.694167,8362,col="red") | |
text(0.65,8000,"Demanda mas alta") | |
# cnt:8362, hum:0.694167# | |
data%>% filter(season==3) %>% select(hum,cnt) %>%plot(ylab="Demanda", xlab="Normalized humidity", main="Otono") | |
data%>% filter(season==3) %>% select(hum,cnt) %>% max() | |
data %>% filter(cnt == max(cnt)) %>% select(hum) | |
points(0.501667,8714,col="red") | |
text(0.65,8600,"Demanda mas alta") | |
# cnt:8714 , hum:0.501667# | |
data%>% filter(season==4) %>% select(hum,cnt) %>% plot(ylab="Demanda", xlab="Normalized humidity", main="Invierno") | |
data%>% filter(season==4) %>% select (hum, cnt) %>% max() | |
data %>% filter(cnt == max(cnt)) %>% select(hum) | |
points(0.542917,8555,col="red") | |
text(0.7,8714,"Demanda mas alta") | |
#Cnt con temp# | |
par(mfrow=c(1,4)) | |
data%>% filter(season==1) %>% select(temp,cnt) %>%plot(ylab="Demanda", xlab="Temperature", main="Primavera") | |
data%>% filter(season==1) %>% select(temp,cnt) %>% max() | |
data %>% filter(cnt == max(cnt)) %>% select(temp) | |
points(0.608333,7836,col="red") | |
text(0.30,7820,"Demanda mas alta") | |
data%>% filter(season==2) %>% select(temp,cnt) %>%plot(ylab="Demanda", xlab="Temperature", main="Verano") | |
data%>% filter(season==2) %>% select(temp,cnt) %>% max() | |
data %>% filter(cnt == max(cnt)) %>% select(temp) | |
points(0.608333,8362,col="red") | |
text(0.30,8350,"Demanda mas alta") | |
data%>% filter(season==3) %>% select(temp,cnt) %>%plot(ylab="Demanda", xlab="Temperature", main="Otono") | |
data%>% filter(season==3) %>% select(temp,cnt) %>% max() | |
data %>% filter(cnt == max(cnt)) %>% select(temp) | |
points(0.608333,8714,col="red") | |
text(0.30,7820,"Demanda mas alta") | |
data%>% filter(season==4) %>% select(temp,cnt) %>%plot(ylab="Demanda", xlab="Temperature", main="Invierno") | |
data%>% filter(season==4) %>% select(temp,cnt) %>% max() | |
data %>% filter(cnt == max(cnt)) %>% select(temp) | |
points(0.60833,8555,col="red") | |
text(0.30,8550,"Demanda mas alta") | |
#Windspeed con cnt# | |
par(mfrow=c(1,4)) | |
data%>% filter(season==1) %>% select(windspeed,cnt) %>%plot(ylab="Demanda", xlab="Windspeed", main="Primavera") | |
data%>% filter(season==1) %>% select(windspeed,cnt) %>% max() | |
data %>% filter(cnt == max(cnt)) %>% select(windspeed) | |
points(0.247521,7836,col="red") | |
text(0.20,7820,"Demanda mas alta") | |
data%>% filter(season==2) %>% select(windspeed,cnt) %>%plot(ylab="Demanda", xlab="Windspeed", main="Verano") | |
data%>% filter(season==2) %>% select(windspeed,cnt) %>% max() | |
data %>% filter(cnt == max(cnt)) %>% select(windspeed) | |
points(0.247521,8361,col="red") | |
text(0.20,8350,"Demanda mas alta") | |
data%>% filter(season==3) %>% select(windspeed,cnt) %>%plot(ylab="Demanda", xlab="Windspeed", main="Otono") | |
data%>% filter(season==3) %>% select(windspeed,cnt) %>% max() | |
data %>% filter(cnt == max(cnt)) %>% select(windspeed) | |
points(0.247521,8714,col="red") | |
text(0.20,8750,"Demanda mas alta") | |
data%>% filter(season==4) %>% select(windspeed,cnt) %>%plot(ylab="Demanda", xlab="Windspeed", main="Invierno") | |
data%>% filter(season==4) %>% select(windspeed,cnt) %>% max() | |
data %>% filter(cnt == max(cnt)) %>% select(windspeed) | |
points(0.247521,8555,col="red") | |
text(0.20,8550,"Demanda mas alta") |
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