This is just a paragraph.
#This is how to type within a boxed in text
library(nycflights13)
library(tidyverse)## ── Attaching packages ──────────────────────────── tidyverse 1.3.0 ──## ✓ ggplot2 3.2.1 ✓ purrr 0.3.3
## ✓ tibble 2.1.3 ✓ dplyr 0.8.3
## ✓ tidyr 1.0.0 ✓ stringr 1.4.0
## ✓ readr 1.3.1 ✓ forcats 0.4.0## ── Conflicts ─────────────────────────────── tidyverse_conflicts() ──
## x dplyr::filter() masks stats::filter()
## x dplyr::lag() masks stats::lag()This is a number chart
#flights
#> # A tibble: 336,776 x 19
#> year month day dep_time sched_dep_time dep_delay arr_time sched_arr_time
#> <int> <int> <int> <int> <int> <dbl> <int> <int>
#> 1 2013 1 1 517 515 2 830 819
#> 2 2013 1 1 533 529 4 850 830
#> 3 2013 1 1 542 540 2 923 850
#> 4 2013 1 1 544 545 -1 1004 1022
#> 5 2013 1 1 554 600 -6 812 837
#> 6 2013 1 1 554 558 -4 740 728
#> # … with 3.368e+05 more rows, and 11 more variables: arr_delay <dbl>,
#> # carrier <chr>, flight <int>, tailnum <chr>, origin <chr>, dest <chr>,
#> # air_time <dbl>, distance <dbl>, hour <dbl>, minute <dbl>, time_hour <dttm>#This is the same error I found with chapter 12, I have attempted to include a photo but cannot call it correctly.
! [Alt text] (//Users/kimberlytang/Documents/transform-logical.png)
#Exercises
#1. Find all flights that
#1. Had an arrival delay of two or more hours
#2. Flew to Houston (IAH or HOU)
#3. Were operated by United, American, or Delta
#4. Departed in summer (July, August, and September)
#5. Arrived more than two hours late, but didn’t leave late
#6. Were delayed by at least an hour, but made up over 30 minutes in flight
#7. Departed between midnight and 6am (inclusive)
#2. Another useful dplyr filtering helper is between(). What does it do? Can you use it to simplify the code needed to answer the previous challenges?
##is equivalent to lower<=x & x<=upper when incbounds=TRUE, or lower<x & y<upper when FALSE
#3. How many flights have a missing dep_time? What other variables are missing? What might these rows represent?
#4. Why is NA ^ 0 not missing? Why is NA | TRUE not missing? Why is FALSE & NA not missing? Can you figure out the general rule? (NA * 0 is a tricky counterexample!)Again, I am so incredibly frustrated because I was unable to teach myself these topics. It was difficult because we have yet to learn this in class, and extensive googling does not replace a class. In the directions, the phrase used in the assignment directions is “attempt to answer”, and I have been unsuccessful in doing so, so I can only comment out that I have attempted but failed analyzing the data for flights.