Eurostat RAIL_TF_NS20_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_NS20_NL@2020-01-01/en
954 series, 954 observations (954 with a value), periods 2020 to 2020 dimensions: freq, net_seg20, train, unit
dataset/freq
freq: A
dataset/net_seg20
net_seg20: NLS10006_TEN NLS10007_TEN NLS10008_TEN NLS10009_TEN NLS10018_TEN NLS10019_TEN NLS10020_TEN NLS10021_TEN NLS10023_TEN NLS10024_TEN NLS10025_TEN NLS10026_TEN NLS10027_TEN NLS10033_TEN NLS10034_TEN NLS10035_TEN NLS10036_TEN NLS10037_TEN NLS10038_TEN NLS10041_TEN NLS10042_TEN NLS10043_TEN NLS10044_TEN NLS10045_TEN NLS10046_TEN NLS10047_TEN NLS10048_TEN NLS10049_TEN NLS10050_TEN NLS10052_TEN NLS10053_TEN NLS10054_TEN NLS10055_TEN NLS10058_TEN NLS10059_TEN NLS10062_TEN NLS10063_TEN NLS10069_TEN NLS10070_TEN NLS10071_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 NLS10092_TEN NLS10096_TEN NLS10102_TEN NLS10103_TEN NLS10104_TEN NLS10105_TEN NLS10110_TEN NLS10111_TEN NLS10112_TEN NLS10114_TEN NLS10115_TEN NLS10116_TEN NLS10117_TEN NLS10118_TEN NLS10119_TEN NLS10122_TEN NLS10123_TEN NLS10124_TEN NLS10125_TEN NLS10126_TEN NLS10127_TEN NLS10128_TEN NLS10129_TEN NLS10130_TEN NLS10131_TEN NLS10135_TEN NLS10136_TEN NLS10137_TEN NLS10141_TEN NLS10142_TEN NLS10143_TEN NLS10144_TEN NLS10145_TEN NLS10146_TEN NLS10147_TEN NLS10148_TEN NLS10149_TEN NLS10150_TEN NLS10155_TEN NLS10156_TEN NLS10157_TEN NLS10158_TEN NLS10159_TEN NLS10160_TEN NLS10161_TEN NLS10162_TEN NLS10163_TEN NLS10164_TEN NLS10165_TEN NLS10169_TEN NLS10170_TEN NLS10171_TEN NLS10172_TEN NLS10173_TEN NLS10174_TEN NLS10175_TEN NLS10176_TEN NLS10177_TEN NLS10178_TEN NLS10181_TEN NLS10182_TEN NLS10184_TEN NLS10187_TEN NLS10188_TEN NLS10190_TEN NLS10196_TEN NLS10197_TEN NLS10206_TEN NLS10207_TEN NLS10208_TEN NLS10209_TEN NLS10210_TEN NLS10211_TEN NLS10212_TEN NLS10213_TEN NLS10214_TEN NLS10215_TEN NLS10216_TEN NLS10217_TEN NLS10218_TEN NLS10219_TEN NLS10220_TEN NLS10221_TEN NLS10222_TEN NLS10223_TEN NLS10224_TEN NLS10225_TEN NLS10230_TEN NLS10231_TEN NLS10232_TEN NLS10233_TEN NLS10236_TEN NLS10237_TEN NLS10244_TEN NLS10245_TEN NLS10246_TEN NLS10247_TEN NLS10248_TEN NLS10249_TEN NLS10250_TEN NLS10251_TEN NLS10252_TEN NLS20006_TEN NLS20007_TEN NLS20008_TEN NLS20009_TEN NLS20018_TEN NLS20019_TEN NLS20020_TEN NLS20021_TEN NLS20023_TEN NLS20024_TEN NLS20025_TEN NLS20026_TEN NLS20027_TEN NLS20033_TEN NLS20034_TEN NLS20035_TEN NLS20036_TEN NLS20037_TEN NLS20038_TEN NLS20041_TEN NLS20042_TEN NLS20043_TEN NLS20044_TEN NLS20045_TEN NLS20046_TEN NLS20047_TEN NLS20048_TEN NLS20049_TEN NLS20050_TEN NLS20052_TEN NLS20053_TEN NLS20054_TEN NLS20055_TEN NLS20058_TEN NLS20059_TEN NLS20062_TEN NLS20063_TEN NLS20069_TEN NLS20070_TEN NLS20071_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 NLS20092_TEN NLS20096_TEN NLS20102_TEN NLS20103_TEN NLS20104_TEN NLS20105_TEN NLS20110_TEN NLS20111_TEN NLS20112_TEN NLS20114_TEN NLS20115_TEN NLS20116_TEN NLS20117_TEN NLS20118_TEN NLS20119_TEN NLS20122_TEN NLS20123_TEN NLS20124_TEN NLS20125_TEN NLS20126_TEN NLS20127_TEN NLS20128_TEN NLS20129_TEN NLS20130_TEN NLS20131_TEN NLS20135_TEN NLS20136_TEN NLS20137_TEN NLS20141_TEN NLS20142_TEN NLS20143_TEN NLS20144_TEN NLS20145_TEN NLS20146_TEN NLS20147_TEN NLS20148_TEN NLS20149_TEN NLS20150_TEN NLS20155_TEN NLS20156_TEN NLS20157_TEN NLS20158_TEN NLS20159_TEN NLS20160_TEN NLS20161_TEN NLS20162_TEN NLS20163_TEN NLS20164_TEN NLS20165_TEN NLS20169_TEN NLS20170_TEN NLS20171_TEN NLS20172_TEN NLS20173_TEN NLS20174_TEN NLS20175_TEN NLS20176_TEN NLS20177_TEN NLS20178_TEN NLS20181_TEN NLS20182_TEN NLS20184_TEN NLS20187_TEN NLS20188_TEN NLS20190_TEN NLS20196_TEN NLS20197_TEN NLS20206_TEN NLS20207_TEN NLS20208_TEN NLS20209_TEN NLS20210_TEN NLS20211_TEN NLS20212_TEN NLS20213_TEN NLS20214_TEN NLS20215_TEN NLS20216_TEN NLS20217_TEN NLS20218_TEN NLS20219_TEN NLS20220_TEN NLS20221_TEN NLS20222_TEN NLS20223_TEN NLS20224_TEN NLS20225_TEN NLS20230_TEN NLS20231_TEN NLS20232_TEN NLS20233_TEN NLS20236_TEN NLS20237_TEN NLS20244_TEN NLS20245_TEN NLS20246_TEN NLS20247_TEN NLS20248_TEN NLS20249_TEN NLS20250_TEN NLS20251_TEN NLS20252_TEN
dataset/train
train: TRN_GD TRN_OTH TRN_PAS
dataset/unit
unit: NR