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| library(data.table) | |
| ma <- function(x,n=5){filter(x,rep(1/n,n), sides=2)} | |
| potholes <- fread('Mayors_Action_Center_Service_Cases.csv') | |
| potholes <- potholes[KEYWORD__C == "Chuckhole" & SUBCATEGORY__C == 'Street (Chuckhole)', | |
| .(CASENUMBER, | |
| STATUS, | |
| CREATEDDATE = as.Date(CREATEDDATE, format = "%Y-%m-%dT%H:%M:%S.000Z"), | |
| CLOSEDDATE = as.Date(CLOSEDDATE, format = "%Y-%m-%dT%H:%M:%S.000Z"))] | |
| daylist <- seq(min(potholes[!is.na(CREATEDDATE), CREATEDDATE]), | |
| max(potholes[!is.na(CREATEDDATE), CREATEDDATE]), 'days') | |
| dayRow <- function(day.i, data) { | |
| data[CREATEDDATE <= day.i & (is.na(CLOSEDDATE) | CLOSEDDATE >= day.i), | |
| .(date = day.i, potholes = length(CASENUMBER))] | |
| } | |
| potholes <- rbindlist(lapply(daylist, dayRow, data = potholes)) | |
| weather <- fread('1227703.csv') | |
| weather <- weather[STATION == 'USW00093819', | |
| .(date = as.Date(DATE), | |
| TMIN = ma(TMIN, 14), | |
| TAVG = ma(TAVG, 14), | |
| TMAX = ma(TMAX, 14))] | |
| potholes <- weather[potholes, on = 'date'] | |
| write.csv(potholes, 'pothole.csv', row.names = F) |
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