HW Week 5

Sayaka Berkley

2024-02-24

First visualizataion : Week 5 HW

JFK Rush hour

https://nypost.com/2018/01/09/how-the-bomb-cyclone-set-off-unprecedented-chaos-at-jfk/ [Source: NY Post]

“flights” dataset

identify names of values

##  [1] "year"           "month"          "day"            "dep_time"      
##  [5] "sched_dep_time" "dep_delay"      "arr_time"       "sched_arr_time"
##  [9] "arr_delay"      "carrier"        "flight"         "tailnum"       
## [13] "origin"         "dest"           "air_time"       "distance"      
## [17] "hour"           "minute"         "time_hour"

Let’s see Flight average arrival delay by month and arraival status

Find out if the delays are chronically or if they differ from season to season.

Plot 1

## Warning: Removed 9430 rows containing non-finite outside the scale range
## (`stat_summary()`).

The upper part of the graph shows delays(Red), while the lower part shows cases where the schedule was earlier than scheduled (light purple).

Now, we should keep ontime flight!

test 1

## Warning: Removed 9430 rows containing non-finite outside the scale range
## (`stat_summary()`).

I flipped previous graph! Don’t you think the chart shows how challenging it is to keep to the timetable?

Heatmap of Average Departure Delays by Departure time in NYC

Aircraft do not end after one flight; they operate 3-4 flight segments per day. The example is JFK-DTW, DTW-LAX, and so on, so if there is a delay somewhere, it will be dragged on and on and on. In winter, westbound to eastbound flights are relatively fast because of the influence of the earth’s rotation and the prevailing westerly winds.

Plot2

## `summarise()` has grouped output by 'origin'. You can override using the
## `.groups` argument.

## # A tibble: 56 × 3
## # Groups:   origin [3]
##    origin sched_dep_hour dep_delay
##    <chr>           <dbl>     <dbl>
##  1 EWR                 5     0.649
##  2 EWR                 6     3.50 
##  3 EWR                 7     4.04 
##  4 EWR                 8     5.50 
##  5 EWR                 9     5.84 
##  6 EWR                10     7.79 
##  7 EWR                11     7.96 
##  8 EWR                12    11.6  
##  9 EWR                13    13.6  
## 10 EWR                14    17.4  
## # ℹ 46 more rows

Treemap of Destination by Major Airline

The graph shows destinations from NYC by the three major U.S. airlines.

## `summarise()` has grouped output by 'carrier'. You can override using the
## `.groups` argument.
## # A tibble: 15 × 3
## # Groups:   carrier [3]
##    carrier dest  flights
##    <chr>   <chr>   <int>
##  1 AA      DFW      7257
##  2 AA      MIA      7234
##  3 AA      ORD      6059
##  4 AA      LAX      3582
##  5 AA      BOS      1455
##  6 DL      ATL     10571
##  7 DL      DTW      3875
##  8 DL      MCO      3663
##  9 DL      MIA      2929
## 10 DL      FLL      2903
## 11 UA      ORD      6984
## 12 UA      IAH      6924
## 13 UA      SFO      6819
## 14 UA      LAX      5823
## 15 UA      DEN      3796

AA: DFW = Dallas, MIA = Miami, ORD = Chicago, LAX = Los Angeles, BOX = Boston DL: ATL = Atlanta, DTW = Detroit, MCO = Orlando, MIA = Miami, FLL = Fort Lauderdale UA: ORD = Chicago, IAH = Houston, SFO = San Francisco, LAX = Los Angeles, DEN = Denver

Plot3 - Visualization data

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## # A tibble: 106 × 3
##    carrier dest      n
##    <chr>   <chr> <int>
##  1 AA      AUS     365
##  2 AA      BOS    1455
##  3 AA      DFW    7257
##  4 AA      EGE     103
##  5 AA      FLL     182
##  6 AA      IAH     274
##  7 AA      LAS     639
##  8 AA      LAX    3582
##  9 AA      MCO     730
## 10 AA      MIA    7234
## # ℹ 96 more rows

Trend of United airlines Departure delay in LGA

Would United Airlines have an average of a delay in the morning on flights departing from LaGuardia?

Plot4

## Warning in widget_html(name, package, id = x$id, style = css(width =
## validateCssUnit(sizeInfo$width), : streamgraph_html returned an object of class
## `list` instead of a `shiny.tag`.
## Warning: `bindFillRole()` only works on htmltools::tag() objects (e.g., div(),
## p(), etc.), not objects of type 'list'.
Trend of United airlines Depature delay in LGA

The graph is Number of delay flights of United Airlines between 4 am - 12 pm.

Alluvium plot

(test 2) Major 5 carrier plot of flights selected 5 airports trend. Selected : SFO (San Francisco), IAH (Huston), IAD (Dalles), ATL (Atlanta), MIA (Miami), LAX (LosAngeles), DFW (Dallas)

Test plot

## Warning in scale_x_discrete(limits = 1:12, labels = c("Jan", "Feb", "Mar", : Continuous limits supplied to discrete scale.
## ℹ Did you mean `limits = factor(...)` or `scale_*_continuous()`?