Overview

Dataset statistics

Number of variables18
Number of observations10000
Missing cells51145
Missing cells (%)28.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 MiB
Average record size in memory166.0 B

Variable types

Numeric9
Categorical4
Unsupported4
Boolean1

Dataset

Description경기도_BMS 카드데이터 기준 노선 경유정류소
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=WY7XU78DB4FAYSR8TBBJ33212861&infSeq=1

Alerts

사용구분 has constant value ""Constant
등록아이디 has constant value ""Constant
등록일자 has constant value ""Constant
진행구분코드명 is highly overall correlated with 정류장순서 and 3 other fieldsHigh correlation
회차정류장명 is highly overall correlated with 정류장순서 and 3 other fieldsHigh correlation
정류장순서 is highly overall correlated with 누적거리 and 3 other fieldsHigh correlation
노선아이디 is highly overall correlated with 정류장아이디 and 1 other fieldsHigh correlation
정류장아이디 is highly overall correlated with 노선아이디 and 1 other fieldsHigh correlation
누적거리 is highly overall correlated with 정류장순서 and 3 other fieldsHigh correlation
정류장누적거리 is highly overall correlated with 정류장순서 and 3 other fieldsHigh correlation
기관코드 is highly overall correlated with 노선아이디 and 1 other fieldsHigh correlation
링크순서 has 10000 (100.0%) missing valuesMissing
누적거리 has 5569 (55.7%) missing valuesMissing
확정거리 has 5569 (55.7%) missing valuesMissing
정류장간거리 has 10000 (100.0%) missing valuesMissing
수정아이디 has 10000 (100.0%) missing valuesMissing
갱신일자 has 10000 (100.0%) missing valuesMissing
링크순서 is an unsupported type, check if it needs cleaning or further analysisUnsupported
정류장간거리 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수정아이디 is an unsupported type, check if it needs cleaning or further analysisUnsupported
갱신일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
정류장순서 has 167 (1.7%) zerosZeros
누적거리 has 158 (1.6%) zerosZeros
확정거리 has 158 (1.6%) zerosZeros
정류장누적거리 has 241 (2.4%) zerosZeros

Reproduction

Analysis started2023-12-10 21:45:42.560212
Analysis finished2023-12-10 21:45:52.423240
Duration9.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

이비노선아이디
Real number (ℝ)

Distinct991
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41004676
Minimum41001001
Maximum41014172
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:45:52.511832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41001001
5-th percentile41002044
Q141002571
median41003683
Q341006322
95-th percentile41009136
Maximum41014172
Range13171
Interquartile range (IQR)3751

Descriptive statistics

Standard deviation2578.3564
Coefficient of variation (CV)6.2879571 × 10-5
Kurtosis1.1977027
Mean41004676
Median Absolute Deviation (MAD)1442
Skewness1.1203992
Sum4.1004676 × 1011
Variance6647921.8
MonotonicityNot monotonic
2023-12-11T06:45:52.680348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41002045 41
 
0.4%
41003006 40
 
0.4%
41007027 40
 
0.4%
41002028 39
 
0.4%
41007003 36
 
0.4%
41002042 33
 
0.3%
41009171 32
 
0.3%
41007024 32
 
0.3%
41006239 32
 
0.3%
41002210 31
 
0.3%
Other values (981) 9644
96.4%
ValueCountFrequency (%)
41001001 17
0.2%
41001002 10
 
0.1%
41001013 28
0.3%
41001020 17
0.2%
41001024 24
0.2%
41001026 6
 
0.1%
41001027 16
0.2%
41001028 10
 
0.1%
41001029 11
 
0.1%
41001030 17
0.2%
ValueCountFrequency (%)
41014172 9
 
0.1%
41014171 20
0.2%
41014168 17
0.2%
41014167 16
0.2%
41014122 4
 
< 0.1%
41014121 10
0.1%
41014120 23
0.2%
41014119 9
 
0.1%
41014118 10
0.1%
41014106 15
0.1%

정류장순서
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct206
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.6763
Minimum0
Maximum229
Zeros167
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:45:52.821996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q115
median32
Q359
95-th percentile114
Maximum229
Range229
Interquartile range (IQR)44

Descriptive statistics

Standard deviation35.906326
Coefficient of variation (CV)0.86155263
Kurtosis1.9685285
Mean41.6763
Median Absolute Deviation (MAD)20
Skewness1.3565691
Sum416763
Variance1289.2642
MonotonicityNot monotonic
2023-12-11T06:45:53.223557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 195
 
1.9%
5 185
 
1.8%
3 181
 
1.8%
6 175
 
1.8%
13 169
 
1.7%
17 169
 
1.7%
0 167
 
1.7%
18 166
 
1.7%
9 165
 
1.7%
16 163
 
1.6%
Other values (196) 8265
82.7%
ValueCountFrequency (%)
0 167
1.7%
1 195
1.9%
2 153
1.5%
3 181
1.8%
4 160
1.6%
5 185
1.8%
6 175
1.8%
7 142
1.4%
8 150
1.5%
9 165
1.7%
ValueCountFrequency (%)
229 1
< 0.1%
226 1
< 0.1%
218 1
< 0.1%
217 1
< 0.1%
216 1
< 0.1%
215 1
< 0.1%
213 1
< 0.1%
210 1
< 0.1%
208 1
< 0.1%
206 1
< 0.1%

노선아이디
Real number (ℝ)

HIGH CORRELATION 

Distinct991
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2993581 × 108
Minimum2.0000001 × 108
Maximum2.4000015 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:45:53.351647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0000001 × 108
5-th percentile2.1500017 × 108
Q12.2800013 × 108
median2.3400015 × 108
Q32.340014 × 108
95-th percentile2.4000002 × 108
Maximum2.4000015 × 108
Range40000134
Interquartile range (IQR)6001265

Descriptive statistics

Standard deviation8130080.9
Coefficient of variation (CV)0.035358046
Kurtosis2.6045599
Mean2.2993581 × 108
Median Absolute Deviation (MAD)1000011
Skewness-1.6370881
Sum2.2993581 × 1012
Variance6.6098216 × 1013
MonotonicityNot monotonic
2023-12-11T06:45:53.490763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
234000024 41
 
0.4%
234000316 40
 
0.4%
217000012 40
 
0.4%
234000058 39
 
0.4%
217000006 36
 
0.4%
234000041 33
 
0.3%
240000105 32
 
0.3%
217000009 32
 
0.3%
228000002 32
 
0.3%
234000849 31
 
0.3%
Other values (981) 9644
96.4%
ValueCountFrequency (%)
200000013 8
 
0.1%
200000104 14
0.1%
200000149 18
0.2%
200000150 16
0.2%
200000191 18
0.2%
200000265 26
0.3%
200000268 29
0.3%
204000005 6
 
0.1%
204000025 9
 
0.1%
204000035 17
0.2%
ValueCountFrequency (%)
240000147 13
0.1%
240000144 10
 
0.1%
240000143 2
 
< 0.1%
240000139 2
 
< 0.1%
240000129 4
 
< 0.1%
240000117 4
 
< 0.1%
240000115 2
 
< 0.1%
240000105 32
0.3%
240000104 12
 
0.1%
240000098 5
 
0.1%

이비정류장아이디
Real number (ℝ)

Distinct5912
Distinct (%)59.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4292057.3
Minimum4100015
Maximum8020350
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:45:53.627398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4100015
5-th percentile4102158
Q14115594
median4151245
Q34174847.2
95-th percentile4199942
Maximum8020350
Range3920335
Interquartile range (IQR)59253.25

Descriptive statistics

Standard deviation640506.2
Coefficient of variation (CV)0.14923058
Kurtosis15.533463
Mean4292057.3
Median Absolute Deviation (MAD)25389.5
Skewness4.1769336
Sum4.2920573 × 1010
Variance4.1024819 × 1011
MonotonicityNot monotonic
2023-12-11T06:45:53.756296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4160141 35
 
0.4%
4175623 33
 
0.3%
4160143 31
 
0.3%
4160146 30
 
0.3%
4197304 30
 
0.3%
4160145 29
 
0.3%
4160144 22
 
0.2%
4199942 21
 
0.2%
4160140 21
 
0.2%
4175491 18
 
0.2%
Other values (5902) 9730
97.3%
ValueCountFrequency (%)
4100015 1
< 0.1%
4100017 1
< 0.1%
4100018 1
< 0.1%
4100024 1
< 0.1%
4100025 1
< 0.1%
4100028 1
< 0.1%
4100029 2
< 0.1%
4100032 1
< 0.1%
4100037 1
< 0.1%
4100058 1
< 0.1%
ValueCountFrequency (%)
8020350 2
< 0.1%
8009290 1
 
< 0.1%
8000220 2
< 0.1%
7103993 1
 
< 0.1%
7103992 1
 
< 0.1%
7103903 3
< 0.1%
7103902 4
< 0.1%
7103769 1
 
< 0.1%
7103765 2
< 0.1%
7103725 1
 
< 0.1%

정류장아이디
Real number (ℝ)

HIGH CORRELATION 

Distinct5912
Distinct (%)59.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2718434 × 108
Minimum1 × 108
Maximum5.0000021 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:45:53.897756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1 × 108
5-th percentile2.0200005 × 108
Q12.2200137 × 108
median2.300007 × 108
Q32.3700033 × 108
95-th percentile2.400013 × 108
Maximum5.0000021 × 108
Range4.0000021 × 108
Interquartile range (IQR)14998962

Descriptive statistics

Standard deviation27276498
Coefficient of variation (CV)0.12006328
Kurtosis20.053801
Mean2.2718434 × 108
Median Absolute Deviation (MAD)6999758.5
Skewness-1.0345163
Sum2.2718434 × 1012
Variance7.4400732 × 1014
MonotonicityNot monotonic
2023-12-11T06:45:54.045981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
237000666 35
 
0.4%
230001276 33
 
0.3%
237000664 31
 
0.3%
237000327 30
 
0.3%
237000665 30
 
0.3%
237000324 29
 
0.3%
237000663 22
 
0.2%
230001304 21
 
0.2%
237000661 21
 
0.2%
230000892 18
 
0.2%
Other values (5902) 9730
97.3%
ValueCountFrequency (%)
100000001 1
 
< 0.1%
100000169 2
< 0.1%
100000174 1
 
< 0.1%
100000397 1
 
< 0.1%
101000001 3
< 0.1%
101000002 2
< 0.1%
101000005 2
< 0.1%
101000006 2
< 0.1%
101000026 2
< 0.1%
101000042 1
 
< 0.1%
ValueCountFrequency (%)
500000212 3
< 0.1%
500000109 1
 
< 0.1%
500000108 1
 
< 0.1%
500000107 1
 
< 0.1%
500000106 2
< 0.1%
500000103 1
 
< 0.1%
500000018 1
 
< 0.1%
500000016 2
< 0.1%
277103993 1
 
< 0.1%
277103992 1
 
< 0.1%

회차정류장명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5569 
F
3103 
B
1328 

Length

Max length4
Median length4
Mean length2.6707
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th rowF

Common Values

ValueCountFrequency (%)
<NA> 5569
55.7%
F 3103
31.0%
B 1328
 
13.3%

Length

2023-12-11T06:45:54.206356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:45:54.299228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5569
55.7%
f 3103
31.0%
b 1328
 
13.3%

링크순서
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

누적거리
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct2581
Distinct (%)58.2%
Missing5569
Missing (%)55.7%
Infinite0
Infinite (%)0.0%
Mean17354.905
Minimum0
Maximum97160
Zeros158
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:45:54.400269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile365
Q14855
median12580
Q324410
95-th percentile52735
Maximum97160
Range97160
Interquartile range (IQR)19555

Descriptive statistics

Standard deviation17025.815
Coefficient of variation (CV)0.98103762
Kurtosis3.1720761
Mean17354.905
Median Absolute Deviation (MAD)8850
Skewness1.680152
Sum76899585
Variance2.8987838 × 108
MonotonicityNot monotonic
2023-12-11T06:45:54.529041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 158
 
1.6%
360 13
 
0.1%
5250 11
 
0.1%
3350 11
 
0.1%
1810 10
 
0.1%
6980 9
 
0.1%
2010 9
 
0.1%
590 9
 
0.1%
4470 8
 
0.1%
3120 8
 
0.1%
Other values (2571) 4185
41.9%
(Missing) 5569
55.7%
ValueCountFrequency (%)
0 158
1.6%
90 2
 
< 0.1%
130 2
 
< 0.1%
140 1
 
< 0.1%
170 3
 
< 0.1%
180 1
 
< 0.1%
190 3
 
< 0.1%
200 3
 
< 0.1%
210 7
 
0.1%
220 1
 
< 0.1%
ValueCountFrequency (%)
97160 1
< 0.1%
94930 1
< 0.1%
94650 1
< 0.1%
94380 1
< 0.1%
92240 1
< 0.1%
92230 1
< 0.1%
91640 1
< 0.1%
91570 1
< 0.1%
91560 1
< 0.1%
91250 1
< 0.1%

확정거리
Real number (ℝ)

MISSING  ZEROS 

Distinct1037
Distinct (%)23.4%
Missing5569
Missing (%)55.7%
Infinite0
Infinite (%)0.0%
Mean556.69668
Minimum0
Maximum8660
Zeros158
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:45:54.676283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile133
Q1298.5
median447
Q3710.5
95-th percentile1318.5
Maximum8660
Range8660
Interquartile range (IQR)412

Descriptive statistics

Standard deviation437.63939
Coefficient of variation (CV)0.78613615
Kurtosis40.875641
Mean556.69668
Median Absolute Deviation (MAD)187
Skewness3.9281662
Sum2466723
Variance191528.23
MonotonicityNot monotonic
2023-12-11T06:45:54.812058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 158
 
1.6%
410 43
 
0.4%
250 37
 
0.4%
360 36
 
0.4%
300 36
 
0.4%
430 33
 
0.3%
330 32
 
0.3%
370 30
 
0.3%
310 29
 
0.3%
440 28
 
0.3%
Other values (1027) 3969
39.7%
(Missing) 5569
55.7%
ValueCountFrequency (%)
0 158
1.6%
1 1
 
< 0.1%
30 1
 
< 0.1%
50 2
 
< 0.1%
60 1
 
< 0.1%
70 1
 
< 0.1%
80 2
 
< 0.1%
82 1
 
< 0.1%
86 1
 
< 0.1%
88 1
 
< 0.1%
ValueCountFrequency (%)
8660 1
< 0.1%
6240 1
< 0.1%
4409 1
< 0.1%
3886 1
< 0.1%
3880 1
< 0.1%
3623 2
< 0.1%
3621 1
< 0.1%
3523 2
< 0.1%
3490 1
< 0.1%
3344 1
< 0.1%

정류장누적거리
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct4909
Distinct (%)49.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24948.017
Minimum0
Maximum191370
Zeros241
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:45:54.937954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile920
Q17580
median18285
Q336152.5
95-th percentile71221
Maximum191370
Range191370
Interquartile range (IQR)28572.5

Descriptive statistics

Standard deviation22551.96
Coefficient of variation (CV)0.90395801
Kurtosis2.1300497
Mean24948.017
Median Absolute Deviation (MAD)12720
Skewness1.3467896
Sum2.4948017 × 108
Variance5.0859089 × 108
MonotonicityNot monotonic
2023-12-11T06:45:55.066185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 241
 
2.4%
4360 13
 
0.1%
360 13
 
0.1%
2820 13
 
0.1%
3350 13
 
0.1%
2660 12
 
0.1%
1570 12
 
0.1%
5250 11
 
0.1%
1420 11
 
0.1%
410 11
 
0.1%
Other values (4899) 9650
96.5%
ValueCountFrequency (%)
0 241
2.4%
90 2
 
< 0.1%
130 2
 
< 0.1%
140 1
 
< 0.1%
170 3
 
< 0.1%
180 1
 
< 0.1%
190 3
 
< 0.1%
200 3
 
< 0.1%
210 7
 
0.1%
220 1
 
< 0.1%
ValueCountFrequency (%)
191370 1
< 0.1%
183780 1
< 0.1%
172090 1
< 0.1%
168290 1
< 0.1%
165830 1
< 0.1%
158400 1
< 0.1%
140330 1
< 0.1%
136120 1
< 0.1%
135640 1
< 0.1%
130610 1
< 0.1%

정류장간거리
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

기관코드
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)0.1%
Missing7
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean4.1525908 × 109
Minimum4.111 × 109
Maximum4.183 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:45:55.177706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.111 × 109
5-th percentile4.113 × 109
Q14.146 × 109
median4.161 × 109
Q34.161 × 109
95-th percentile4.183 × 109
Maximum4.183 × 109
Range72000000
Interquartile range (IQR)15000000

Descriptive statistics

Standard deviation16874904
Coefficient of variation (CV)0.004063705
Kurtosis0.096391824
Mean4.1525908 × 109
Median Absolute Deviation (MAD)0
Skewness-0.65456845
Sum4.149684 × 1013
Variance2.8476239 × 1014
MonotonicityNot monotonic
2023-12-11T06:45:55.276422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
4161000000 5190
51.9%
4146000000 1125
 
11.2%
4136000000 798
 
8.0%
4127000000 765
 
7.6%
4183000000 724
 
7.2%
4159000000 378
 
3.8%
4113000000 299
 
3.0%
4111000000 205
 
2.1%
4131000000 166
 
1.7%
4157000000 158
 
1.6%
Other values (2) 185
 
1.8%
ValueCountFrequency (%)
4111000000 205
 
2.1%
4113000000 299
 
3.0%
4125000000 149
 
1.5%
4127000000 765
7.6%
4131000000 166
 
1.7%
4136000000 798
8.0%
4139000000 36
 
0.4%
4146000000 1125
11.2%
4157000000 158
 
1.6%
4159000000 378
 
3.8%
ValueCountFrequency (%)
4183000000 724
 
7.2%
4161000000 5190
51.9%
4159000000 378
 
3.8%
4157000000 158
 
1.6%
4146000000 1125
 
11.2%
4139000000 36
 
0.4%
4136000000 798
 
8.0%
4131000000 166
 
1.7%
4127000000 765
 
7.6%
4125000000 149
 
1.5%

사용구분
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
10000 
ValueCountFrequency (%)
True 10000
100.0%
2023-12-11T06:45:55.380415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

등록아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
ETL_ADMIN
10000 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowETL_ADMIN
2nd rowETL_ADMIN
3rd rowETL_ADMIN
4th rowETL_ADMIN
5th rowETL_ADMIN

Common Values

ValueCountFrequency (%)
ETL_ADMIN 10000
100.0%

Length

2023-12-11T06:45:55.458371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:45:55.537538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
etl_admin 10000
100.0%

등록일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
20190224234500
10000 

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20190224234500
2nd row20190224234500
3rd row20190224234500
4th row20190224234500
5th row20190224234500

Common Values

ValueCountFrequency (%)
20190224234500 10000
100.0%

Length

2023-12-11T06:45:55.616859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:45:55.696613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20190224234500 10000
100.0%

수정아이디
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

갱신일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

진행구분코드명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5569 
상행
3103 
하행
1328 

Length

Max length4
Median length4
Mean length3.1138
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row상행

Common Values

ValueCountFrequency (%)
<NA> 5569
55.7%
상행 3103
31.0%
하행 1328
 
13.3%

Length

2023-12-11T06:45:55.789366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:45:55.881770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5569
55.7%
상행 3103
31.0%
하행 1328
 
13.3%

Interactions

2023-12-11T06:45:51.053232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:44.489475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:45.267759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:45.988176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:46.761130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:47.572209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:48.585684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:49.397571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:50.154836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:51.151218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:44.570112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:45.346468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:46.091575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:46.846365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:47.660387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:48.687910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:49.482294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:50.245399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:51.229050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:44.644288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:45.417884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:46.170644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:46.925282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:47.735741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:48.763508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:49.555062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:50.334662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:51.352994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:44.729279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:45.497296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:46.262684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:47.013769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:47.821103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:48.852136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:49.641877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:50.433980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:51.450482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:44.819277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:45.578645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:46.350367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:47.124377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:47.907495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:48.943927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:49.732423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:50.534532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:51.548772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:44.900071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:45.658608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:46.439230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:47.225815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:47.994205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:49.034082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:49.840673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:50.641386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:51.652145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:44.987211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:45.727065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:46.514035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:47.307974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:48.073812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:49.123971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:49.913722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:50.718474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:51.738100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:45.073549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:45.794868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:46.587828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:47.389306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:48.156705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:49.216380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:49.982216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:50.792463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:51.838147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:45.165272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:45.892378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:46.675352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:47.481910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:48.486079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:49.310288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:50.060878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:50.892915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:45:55.947516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
이비노선아이디정류장순서노선아이디이비정류장아이디정류장아이디회차정류장명누적거리확정거리정류장누적거리기관코드진행구분코드명
이비노선아이디1.0000.2470.9380.3630.3690.0750.1830.0940.1380.8980.075
정류장순서0.2471.0000.2230.0970.2230.6880.9060.0000.8090.2090.688
노선아이디0.9380.2231.0000.1940.4660.1350.1820.1030.1420.9080.135
이비정류장아이디0.3630.0970.1941.0000.9560.0120.0940.0000.0710.0640.012
정류장아이디0.3690.2230.4660.9561.0000.0350.2520.1300.2530.4010.035
회차정류장명0.0750.6880.1350.0120.0351.0000.7250.0420.7250.1151.000
누적거리0.1830.9060.1820.0940.2520.7251.0000.1010.9470.1520.725
확정거리0.0940.0000.1030.0000.1300.0420.1011.0000.0830.0970.042
정류장누적거리0.1380.8090.1420.0710.2530.7250.9470.0831.0000.1370.725
기관코드0.8980.2090.9080.0640.4010.1150.1520.0970.1371.0000.115
진행구분코드명0.0750.6880.1350.0120.0351.0000.7250.0420.7250.1151.000
2023-12-11T06:45:56.078526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
진행구분코드명회차정류장명
진행구분코드명1.0000.999
회차정류장명0.9991.000
2023-12-11T06:45:56.203522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
이비노선아이디정류장순서노선아이디이비정류장아이디정류장아이디누적거리확정거리정류장누적거리기관코드회차정류장명진행구분코드명
이비노선아이디1.0000.048-0.296-0.086-0.073-0.053-0.079-0.001-0.3500.0760.076
정류장순서0.0481.000-0.213-0.151-0.2390.9670.0940.948-0.1720.5360.536
노선아이디-0.296-0.2131.0000.1990.626-0.0220.197-0.1120.8850.1350.135
이비정류장아이디-0.086-0.1510.1991.0000.385-0.0350.111-0.0950.1820.0190.019
정류장아이디-0.073-0.2390.6260.3851.0000.0060.223-0.1550.5720.0430.043
누적거리-0.0530.967-0.022-0.0350.0061.0000.1861.0000.0080.5680.568
확정거리-0.0790.0940.1970.1110.2230.1861.0000.1860.1970.0310.031
정류장누적거리-0.0010.948-0.112-0.095-0.1551.0000.1861.000-0.0800.5360.536
기관코드-0.350-0.1720.8850.1820.5720.0080.197-0.0801.0000.1300.130
회차정류장명0.0760.5360.1350.0190.0430.5680.0310.5360.1301.0000.999
진행구분코드명0.0760.5360.1350.0190.0430.5680.0310.5360.1300.9991.000

Missing values

2023-12-11T06:45:51.978966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:45:52.213787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-11T06:45:52.357586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

이비노선아이디정류장순서노선아이디이비정류장아이디정류장아이디회차정류장명링크순서누적거리확정거리정류장누적거리정류장간거리기관코드사용구분등록아이디등록일자수정아이디갱신일자진행구분코드명
167841002493312300001434172731237000896<NA><NA><NA><NA>27680<NA>4161000000YETL_ADMIN20190224234500<NA><NA><NA>
3713141005003292220000334114842222001791<NA><NA><NA><NA>8350<NA>4136000000YETL_ADMIN20190224234500<NA><NA><NA>
2936741003156382340014917102058277102058<NA><NA><NA><NA>28730<NA>4161000000YETL_ADMIN20190224234500<NA><NA><NA>
3824041009155202400000084151113240000022<NA><NA><NA><NA>16040<NA>4183000000YETL_ADMIN20190224234500<NA><NA><NA>
280124100325812340004594175515230001539F<NA>590595590<NA>4161000000YETL_ADMIN20190224234500<NA><NA>상행
451364100702762170000124101426208000001F<NA>24204742420<NA>4127000000YETL_ADMIN20190224234500<NA><NA>상행
331384100700412240000164105287216000095F<NA>240243240<NA>4127000000YETL_ADMIN20190224234500<NA><NA>상행
938541002019342340000504100073209000018<NA><NA><NA><NA>42290<NA>4131000000YETL_ADMIN20190224234500<NA><NA><NA>
215341002801552340012364109284222001413<NA><NA><NA><NA>130610<NA>4161000000YETL_ADMIN20190224234500<NA><NA><NA>
3719141005003552220000334196465222000241<NA><NA><NA><NA>20640<NA>4136000000YETL_ADMIN20190224234500<NA><NA><NA>
이비노선아이디정류장순서노선아이디이비정류장아이디정류장아이디회차정류장명링크순서누적거리확정거리정류장누적거리정류장간거리기관코드사용구분등록아이디등록일자수정아이디갱신일자진행구분코드명
5363541008141292330000594170583233000444<NA><NA><NA><NA>16360<NA>4159000000YETL_ADMIN20190224234500<NA><NA><NA>
454464100629952280002224197527228000501<NA><NA><NA><NA>4500<NA>4146000000YETL_ADMIN20190224234500<NA><NA><NA>
1846441003002502340000954179305204000178<NA><NA><NA><NA>22950<NA>4161000000YETL_ADMIN20190224234500<NA><NA><NA>
248441003009342340000154116828202000053<NA><NA><NA><NA>15100<NA>4161000000YETL_ADMIN20190224234500<NA><NA><NA>
3382541003036322340013754198820237000446F<NA>22870154022870<NA>4161000000YETL_ADMIN20190224234500<NA><NA>상행
2033141003005692340000094199205123000016<NA><NA><NA><NA>37990<NA>4161000000YETL_ADMIN20190224234500<NA><NA><NA>
1619041003211472340015934112232234000324<NA><NA><NA><NA>17940<NA>4161000000YETL_ADMIN20190224234500<NA><NA><NA>
334164100309112340015074160144237000663F<NA>780780780<NA>4161000000YETL_ADMIN20190224234500<NA><NA>상행
713641002080582340014334173152237000953<NA><NA><NA><NA>39170<NA>4161000000YETL_ADMIN20190224234500<NA><NA><NA>
1117341002157222340007644172666237000686F<NA>13190191913190<NA>4161000000YETL_ADMIN20190224234500<NA><NA>상행