Time_of_day) # a little something I want to add after, inspired by Ms. Start_station_name, # these help me check if theĮnd_station_name, # trip was an actual trip # First, get just the data I need for my analysis, and this gives me just that.įilter( start_station_id != end_station_id, ride_length > 0) % >% # this helped me check for blanks in all 12 datasets, though I already verified this by viewing at least 1 data set in ExcelĬase_when( hour_of_day = 6 & hour_of_day = 12 & hour_of_day = 18 ~ "Evening ") Select( -c( start_lat, start_lng, end_lat, end_lng)) % >% # proceeds to regret it and simply use code instead # Tries to Upload Divvy datasets using graphical interface for faster processing Setwd( "C:/Users/Andrew Del Rosario/Desktop/Google Data Analytics Course/Case Study files/Datasets/Bikeshare ") Library( hms) #for hours, minutes, and seconds Library( lubridate) #helps wrangle date attributes Install.packages( "ggplot2 ", repos = " ") Install.packages( "lubridate ", repos = " ") Install.packages( "tidyverse ", repos = " ")
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