Eurostat RAIL_TF_NS_NL
Grade C
recovered from text. A grade says how a document's structure was obtained, not how reliable the law is.
Not the law itself: Statistical table
Address https://gelex.eu/eli/EU/stat/ESTAT/RAIL_TF_NS_NL@2005-01-01/en
690 series, 690 observations (690 with a value), periods 2005 to 2005 dimensions: freq, unit, net_seg, train
dataset/freq
freq: A
dataset/unit
unit: NR
dataset/net_seg
net_seg: NLS10001_TEN NLS10002_TEN NLS10003_TEN NLS10004_TEN NLS10005_TEN NLS10006_TEN NLS10007_TEN NLS10008_TEN NLS10009_TEN NLS10010_TEN NLS10011_TEN NLS10012_TEN NLS10013_TEN NLS10014_TEN NLS10015_TEN NLS10016_TEN NLS10017_TEN NLS10018_TEN NLS10019_TEN NLS10020_TEN NLS10021_TEN NLS10022_TEN NLS10023_TEN NLS10024_TEN NLS10025_TEN NLS10026_TEN NLS10027_TEN NLS10028_TEN NLS10029_TEN NLS10030_TEN NLS10031_TEN NLS10032_TEN NLS10033_TEN NLS10034_TEN NLS10035_TEN NLS10036_TEN NLS10037_TEN NLS10038_TEN NLS10039_TEN NLS10040_TEN NLS10041_TEN NLS10042_TEN NLS10043_TEN NLS10044_TEN NLS10045_TEN NLS10046_TEN NLS10047_TEN NLS10048_TEN NLS10049_TEN NLS10050_TEN NLS10051_TEN NLS10052_TEN NLS10053_TEN NLS10054_TEN NLS10055_TEN NLS10056_TEN NLS10057_TEN NLS10058_TEN NLS10059_TEN NLS10060_TEN NLS10061_TEN NLS10062_TEN NLS10063_TEN NLS10064_TEN NLS10065_TEN NLS10066_TEN NLS10067_TEN NLS10068_TEN NLS10069_TEN NLS10070_TEN NLS10071_TEN NLS10072_TEN NLS10073_TEN NLS10074_TEN NLS10075_TEN NLS10076_TEN NLS10077_TEN NLS10078_TEN NLS10079_TEN NLS10080_TEN NLS10081_TEN NLS10082_TEN NLS10083_TEN NLS10084_TEN NLS10085_TEN NLS10086_TEN NLS10087_TEN NLS10088_TEN NLS10089_TEN NLS10090_TEN NLS10091_TEN NLS10092_TEN NLS10093_TEN NLS10094_TEN NLS10095_TEN NLS10096_TEN NLS10097_TEN NLS10098_TEN NLS10099_TEN NLS10100_TEN NLS10101_TEN NLS10102_TEN NLS10103_TEN NLS10104_TEN NLS10105_TEN NLS10106_TEN NLS10107_TEN NLS10108_TEN NLS10109_TEN NLS10110_TEN NLS10111_TEN NLS10112_TEN NLS10113_TEN NLS10114_TEN NLS10115_TEN NLS20001_TEN NLS20002_TEN NLS20003_TEN NLS20004_TEN NLS20005_TEN NLS20006_TEN NLS20007_TEN NLS20008_TEN NLS20009_TEN NLS20010_TEN NLS20011_TEN NLS20012_TEN NLS20013_TEN NLS20014_TEN NLS20015_TEN NLS20016_TEN NLS20017_TEN NLS20018_TEN NLS20019_TEN NLS20020_TEN NLS20021_TEN NLS20022_TEN NLS20023_TEN NLS20024_TEN NLS20025_TEN NLS20026_TEN NLS20027_TEN NLS20028_TEN NLS20029_TEN NLS20030_TEN NLS20031_TEN NLS20032_TEN NLS20033_TEN NLS20034_TEN NLS20035_TEN NLS20036_TEN NLS20037_TEN NLS20038_TEN NLS20039_TEN NLS20040_TEN NLS20041_TEN NLS20042_TEN NLS20043_TEN NLS20044_TEN NLS20045_TEN NLS20046_TEN NLS20047_TEN NLS20048_TEN NLS20049_TEN NLS20050_TEN NLS20051_TEN NLS20052_TEN NLS20053_TEN NLS20054_TEN NLS20055_TEN NLS20056_TEN NLS20057_TEN NLS20058_TEN NLS20059_TEN NLS20060_TEN NLS20061_TEN NLS20062_TEN NLS20063_TEN NLS20064_TEN NLS20065_TEN NLS20066_TEN NLS20067_TEN NLS20068_TEN NLS20069_TEN NLS20070_TEN NLS20071_TEN NLS20072_TEN NLS20073_TEN NLS20074_TEN NLS20075_TEN NLS20076_TEN NLS20077_TEN NLS20078_TEN NLS20079_TEN NLS20080_TEN NLS20081_TEN NLS20082_TEN NLS20083_TEN NLS20084_TEN NLS20085_TEN NLS20086_TEN NLS20087_TEN NLS20088_TEN NLS20089_TEN NLS20090_TEN NLS20091_TEN NLS20092_TEN NLS20093_TEN NLS20094_TEN NLS20095_TEN NLS20096_TEN NLS20097_TEN NLS20098_TEN NLS20099_TEN NLS20100_TEN NLS20101_TEN NLS20102_TEN NLS20103_TEN NLS20104_TEN NLS20105_TEN NLS20106_TEN NLS20107_TEN NLS20108_TEN NLS20109_TEN NLS20110_TEN NLS20111_TEN NLS20112_TEN NLS20113_TEN NLS20114_TEN NLS20115_TEN
dataset/train
train: TRN_GD TRN_OTH TRN_PAS