- Sep 2020
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jrnold.github.io jrnold.github.io
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I would expect length to always be less than width, otherwise the length would be called the width.
Why??
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jrnold.github.io jrnold.github.io
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Exercise 5.7.8
We noticed that there are observations with no record of delay exceeding 1 hour!
filter(mean(cumulative_hr_delays) == 0) %>%<br> summarise(n = n())
Results 677 "tailnum" without any record of delay greater than 1 hour!
For example, "N103US" has 46 flights under 1(one) hour. However, 46 is the total number of flights of "N103US", and none of these flights exceeded 1 hour. So unless I'm wrong, we shouldn't include it (the aforementioned "N103US") as having 46 flights before the first flight that exceeds one hour, because flight number 47 (your next flight) may not exceed an hour either (considering extending the search to the year 2014 and so on)! It may never have delay of more than an hour... and if the scope is restricted to only 2013 the reasoning is the same, we should exclude the 677 flights without any delay more than one hour from the result presented.
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Exercise 5.7.8
test
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Exercise 5.7.8
We noticed that there are observations with no record of delay exceeding 1 hour!
filter(mean(cumulative_hr_delays) == 0) %>% summarise(n = n())
Results 677 "tailnum" without any record of delay greater than 1 hour!
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Exercise 5.7.8
We noticed that there are observations with no record of delay exceeding 1 hour!
filter(mean(cumulative_hr_delays) == 0) %>% summarise(n = n())
Results 677 "tailnum" without any record of delay greater than 1 hour!
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For each plane, count the number of flights before the first delay of greater than 1 hour.
We noticed that there are observations with no record of delay exceeding 1 hour!
filter(mean(cumulative_hr_delays) == 0) %>% summarise(n = n())
Results 677 "tailnum" without any record of delay greater than 1 hour!
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For each plane, count the number of flights before the first delay of greater than 1 hour.
We noticed that there are observations with no record of delay exceeding 1 hour!
filter(mean(cumulative_hr_delays) == 0) %>% summarise(n = n())
Results 677 "tailnum" without any record of delay greater than 1 hour!
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For each plane, count the number of flights before the first delay of greater than 1 hour.
We noticed that there are observations with no record of delay exceeding 1 hour!
filter(mean(cumulative_hr_delays) == 0) %>% summarise(n = n())
Results 677 "tailnum" without any record of delay greater than 1 hour!
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For each plane, count the number of flights before the first delay of greater than 1 hour.
We noticed that there are observations with no record of delay exceeding 1 hour!
filter(mean(cumulative_hr_delays) == 0) %>% summarise(n = n())
Results 677 "tailnum" without any record of delay greater than 1 hour!
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For each plane, count the number of flights before the first delay of greater than 1 hour.
We noticed that there are observations with no record of delay exceeding 1 hour!
filter(mean(cumulative_hr_delays) == 0) %>% summarise(n = n())
Results 677 "tailnum" without any record of delay greater than 1 hour!
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For each plane, count the number of flights before the first delay of greater than 1 hour.
We noticed that there are observations with no record of delay exceeding 1 hour!
filter(mean(cumulative_hr_delays) == 0) %>% summarise(n = n())
Results 677 "tailnum" without any record of delay greater than 1 hour!
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For each plane, count the number of flights before the first delay of greater than 1 hour.
We noticed that there are observations with no record of delay exceeding 1 hour!
filter(mean(cumulative_hr_delays) == 0) %>% summarise(n = n())
Results 677 "tailnum" without any record of delay greater than 1 hour!
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For each plane, count the number of flights before the first delay of greater than 1 hour.
We noticed that there are observations with no record of delay exceeding 1 hour!
... filter(mean(cumulative_hr_delays) == 0) %>%
summarise(n = n())
Results 677 "tailnum" without any record of delay greater than 1 hour!
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For each plane, count the number of flights before the first delay of greater than 1 hour.
We noticed that there are observations with no record of delay exceeding 1 hour!
... filter(mean(cumulative_hr_delays) == 0) %>%
summarise(n = n())
Results 677 "tailnum" without any record of delay greater than 1 hour!
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For each plane, count the number of flights before the first delay of greater than 1 hour.
We noticed that there are observations with no record of delay exceeding 1 hour!
... filter(mean(cumulative_hr_delays) == 0) %>%
summarise(n = n())
Results 677 "tailnum" without any record of delay greater than 1 hour!
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Exercise 5.7.8 For each plane, count the number of flights before the first delay of greater than 1 hour.
We noticed that there are observations with no record of delay exceeding 1 hour!
... filter(mean(cumulative_hr_delays) == 0) %>%
summarise(n = n())
Results 677 "tailnum" without any record of delay greater than 1 hour!
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Exercise 5.7.8 For each plane, count the number of flights before the first delay of greater than 1 hour.
We also notice cases where there are no records of delays longer than 1 hour!
..... filter(mean(cumulative_hr_delays) == 0) %>% summarise(n = n())
results: 677 "tailnum" no record of delay exceeding 1 hour!
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