Shiny Dashboards Project

BEAZIZ Raphaƫl, BELCAID Yannis, IEHL Marc-Antoine
26/12/2019

Links

You can click on links below to see all the information that you need to evaluate our project.

SNCF dashboard

We've decided to use the full_trains.csv file to create sncf dashboard

  year month  service departure_station            arrival_station
1 2017     9 National         PARIS EST                       METZ
2 2017     9 National             REIMS                  PARIS EST
3 2017     9 National         PARIS EST                 STRASBOURG
4 2017     9 National        PARIS LYON                AVIGNON TGV
5 2017     9 National        PARIS LYON           BELLEGARDE (AIN)
6 2017     9 National        PARIS LYON BESANCON FRANCHE COMTE TGV
  journey_time_avg total_num_trips num_of_canceled_trains comment_cancellations
1         85.13378             299                      0                    NA
2         47.06452             218                      1                    NA
3        116.23494             333                      1                    NA
4        161.08958             481                      1                    NA
5        164.45263             190                      0                    NA
6        128.52105             191                      1                    NA
  num_late_at_departure avg_delay_late_at_departure avg_delay_all_departing
1                    15                    11.55000               0.7520067
2                    10                    14.65333               1.2635177
3                    20                    13.69417               1.1392570
4                    36                    20.98843               1.4062153
5                    16                    20.96354               1.7289474
6                    18                    19.96389               1.8387719
  comment_delays_at_departure num_arriving_late avg_delay_late_on_arrival
1                          NA                17                  13.79412
2                          NA                23                  13.57029
3                          NA                19                  21.53246
4                          NA                61                  26.56667
5                          NA                38                  23.15175
6                          NA                18                  31.58796
  avg_delay_all_arriving comment_delays_on_arrival delay_cause_external_cause
1              0.4198439                      <NA>                  0.2500000
2              1.1375576                      <NA>                  0.2500000
3              1.5863956                      <NA>                  0.2142857
4              4.7885417                      <NA>                  0.1551724
5              6.0088596                      <NA>                  0.1666667
6              5.0336842                      <NA>                  0.1111111
  delay_cause_rail_infrastructure delay_cause_traffic_management
1                       0.0000000                     0.16666667
2                       0.3750000                     0.12500000
3                       0.2142857                     0.07142857
4                       0.1206897                     0.31034483
5                       0.2500000                     0.25000000
6                       0.1111111                     0.22222222
  delay_cause_rolling_stock delay_cause_station_management
1                 0.4166667                     0.16666667
2                 0.1250000                     0.06250000
3                 0.2857143                     0.21428571
4                 0.3448276                     0.03448276
5                 0.3055556                     0.00000000
6                 0.5000000                     0.00000000
  delay_cause_travelers num_greater_15_min_late avg_delay_late_greater_15_min
1            0.00000000                       6                      24.03333
2            0.06250000                       9                      21.49815
3            0.00000000                      14                      24.69405
4            0.03448276                      40                      34.04750
5            0.02777778                      26                      28.40128
6            0.05555556                      15                      35.79667
  num_greater_30_min_late num_greater_60_min_late
1                       1                       0
2                       1                       0
3                       3                       0
4                      21                       5
5                       8                       1
6                       8                       1

SNCF dashboard

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