improve DB input

src/000_run_pipeline.R

@@ -13,4 +13,5 @@ source("src/00_install_R_packages.R", echo = TRUE)
 source("src/01_download_data.R", echo = TRUE)
 source("src/02_cars_to_db.R", echo = TRUE)
 source("src/02_bikes_to_db.R", echo = TRUE)
-source("src/03_temporal_features.R", echo = TRUE)
+# TODO do we need this table / probably convert to weather table?
+# source("src/03_temporal_features.R", echo = TRUE)

src/02_bikes_to_db.R

@@ -6,7 +6,7 @@
 
 # load libraries ####
 # use 00_install_R_packages.R for installing missing packages
-sapply(c("dplyr", "DBI", "RSQLite", "tidyr", "lubridate"), 
+sapply(c("dplyr", "DBI", "RSQLite", "tidyr", "chron", "lubridate"), 
        require, character.only = TRUE)
 
 file <- "data/raw/Fahrradzaehlstellen-Stundenwerte.csv"
@@ -22,28 +22,38 @@ bikes <-
   # wide to long format
   gather(location, count, -date, -hour, -weather, -temperature, -windspeed) %>%
 	mutate(date = as.character(dmy(date))) %>% 
-	mutate(hour = as.integer(substring(hour, 1, 2))) %>% 
-	mutate(vehicle = "bike") #%>% 
+	mutate(year = as.integer(year(date))) %>%
+  mutate(month = as.integer(month(date))) %>%
+  mutate(day = as.integer(day(date))) %>%
+  mutate(weekday = wday(date, label = T, abbr = T)) %>%
+  mutate(weekend = is.weekend(date)) %>% 
+  mutate(hour = as.integer(substring(hour, 1, 2))) %>% 
+	mutate(vehicle = "bike")
 
 # write 'bikes' to SQLite database
 dir.create("data/database", showWarnings = F)
 con <- dbConnect(SQLite(), dbname = "data/database/traffic_data.sqlite")
 dbWriteTable(con, "bikes", bikes, row.names = F, overwrite = T)
 
 dbExecute(con, "CREATE INDEX timestamp_bikes on bikes (date, hour)")
+dbExecute(con, "CREATE INDEX year_month_day_bikes on bikes (year, month, day, hour)")
 
+# TODO: make the weather data an own table
 # add the same weather to cars table
-cars <- dbGetQuery(conn = con, "SELECT location, count, date, hour, vehicle FROM cars")
-
-weather_from_bikes <- 
-	bikes %>% 
-	select(date, hour, weather, windspeed, temperature) %>% 
-	filter(weather != "")
-
-cars <- 
-	cars %>%
-	inner_join(., weather_from_bikes, by = c("date", "hour"))
-
-dbWriteTable(con, "cars", cars, row.names = F, overwrite = T)
+# cars <- dbGetQuery(conn = con, "SELECT location, count, date, hour, vehicle FROM cars")
+# 
+# weather_from_bikes <- 
+# 	bikes %>% 
+# 	select(date, hour, weather, windspeed, temperature) %>% 
+# 	filter(weather != "")
+# 
+# cars <- 
+# 	cars %>%
+# 	inner_join(., weather_from_bikes, by = c("date", "hour"))
+# 
+# dbWriteTable(con, "cars", cars, row.names = F, overwrite = T)
+
+# for better performance, DB is read-only in shiny-app
+dbExecute(con, "PRAGMA synchronous=OFF; PRAGMA journal_mode=OFF;")
 
 dbDisconnect(con)

src/02_cars_to_db.R

@@ -6,7 +6,7 @@
 
 # load libraries ####
 # use 00_install_R_packages.R for installing missing packages
-sapply(c("dplyr", "assertthat", "lubridate", "tidyr", "DBI", "RSQLite"), 
+sapply(c("dplyr", "assertthat", "lubridate", "chron", "tidyr", "DBI", "RSQLite"), 
        require, character.only = TRUE)
 
 process_df <- function(df) {
@@ -38,9 +38,8 @@ process_df <- function(df) {
   # filter to only add relevant location to the database 
   # as of now: Roxel and all locations where also bicycles are counted
   relevant_locations <-
-  	c("24020", "24100", "24140", "24010", "24120", "24130", "24030", # Roxel
-  		# locations where (closeby) also bicycles are counted, in the same order as http://www.stadt-muenster.de/verkehrsplanung/verkehr-in-zahlen/radverkehrszaehlungen.html
-  		"01080",  # Neutor
+  	c(# locations where (closeby) also bicycles are counted, in the same order as http://www.stadt-muenster.de/verkehrsplanung/verkehr-in-zahlen/radverkehrszaehlungen.html
+  		"01080", # Neutor
   		"04050", # Wolbecker Straße / Servatiiplatz
   		"03052", # Hüfferstraße
   		"07030", # Hammer Straße
@@ -61,6 +60,11 @@ process_df <- function(df) {
   df <-
     df %>%
     gather(hour, count, -location, -date) %>%
+    mutate(year = as.integer(year(date))) %>%
+    mutate(month = as.integer(month(date))) %>%
+    mutate(day = as.integer(day(date))) %>%
+    mutate(weekday = wday(date, label = T, abbr = T)) %>%
+    mutate(weekend = is.weekend(date)) %>% 
     # 'hour' to integer format
     mutate(hour = substring(hour, 2)) %>% 
     mutate(hour = as.integer(hour)) %>% 
@@ -92,5 +96,6 @@ for (raw_file in raw_files) {
 }
 
 dbExecute(con, "CREATE INDEX timestamp_cars on cars (date, hour)")
+dbExecute(con, "CREATE INDEX year_month_day_cars on cars (year, month, day, hour)")
 dbExecute(con, "CREATE INDEX location_cars on cars (location)")
 dbDisconnect(con)