Overview

Dataset statistics

Number of variables9
Number of observations6709
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory504.6 KiB
Average record size in memory77.0 B

Variable types

Categorical2
Text4
Numeric3

Dataset

Description파일 다운로드
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-12912/S/1/datasetView.do

Alerts

사용일자 has constant value ""Constant
등록일자 has constant value ""Constant
승차총승객수 is highly overall correlated with 하차총승객수High correlation
하차총승객수 is highly overall correlated with 승차총승객수High correlation
승차총승객수 has 446 (6.6%) zerosZeros
하차총승객수 has 285 (4.2%) zerosZeros

Reproduction

Analysis started2024-05-11 06:06:26.809417
Analysis finished2024-05-11 06:06:30.253080
Duration3.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사용일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size52.5 KiB
20240301
6709 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20240301
2nd row20240301
3rd row20240301
4th row20240301
5th row20240301

Common Values

ValueCountFrequency (%)
20240301 6709
100.0%

Length

2024-05-11T15:06:30.378411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:06:30.572253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20240301 6709
100.0%

노선번호
Text

Distinct80
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size52.5 KiB
2024-05-11T15:06:30.929949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.5094649
Min length3

Characters and Unicode

Total characters23545
Distinct characters16
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row360
2nd row441
3rd row441
4th row441
5th row441
ValueCountFrequency (%)
n26 255
 
3.8%
n37 202
 
3.0%
542 137
 
2.0%
707 127
 
1.9%
661 126
 
1.9%
541 123
 
1.8%
441 122
 
1.8%
302 120
 
1.8%
107 119
 
1.8%
9408 117
 
1.7%
Other values (70) 5261
78.4%
2024-05-11T15:06:31.595340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 3602
15.3%
0 3151
13.4%
5 3125
13.3%
2 2847
12.1%
1 2617
11.1%
6 2206
9.4%
4 2147
9.1%
3 2097
8.9%
9 553
 
2.3%
N 485
 
2.1%
Other values (6) 715
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22634
96.1%
Uppercase Letter 740
 
3.1%
Other Letter 154
 
0.7%
Dash Punctuation 17
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 3602
15.9%
0 3151
13.9%
5 3125
13.8%
2 2847
12.6%
1 2617
11.6%
6 2206
9.7%
4 2147
9.5%
3 2097
9.3%
9 553
 
2.4%
8 289
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
N 485
65.5%
B 185
 
25.0%
A 70
 
9.5%
Other Letter
ValueCountFrequency (%)
강 77
50.0%
동 77
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22651
96.2%
Latin 740
 
3.1%
Hangul 154
 
0.7%

Most frequent character per script

Common
ValueCountFrequency (%)
7 3602
15.9%
0 3151
13.9%
5 3125
13.8%
2 2847
12.6%
1 2617
11.6%
6 2206
9.7%
4 2147
9.5%
3 2097
9.3%
9 553
 
2.4%
8 289
 
1.3%
Latin
ValueCountFrequency (%)
N 485
65.5%
B 185
 
25.0%
A 70
 
9.5%
Hangul
ValueCountFrequency (%)
강 77
50.0%
동 77
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23391
99.3%
Hangul 154
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 3602
15.4%
0 3151
13.5%
5 3125
13.4%
2 2847
12.2%
1 2617
11.2%
6 2206
9.4%
4 2147
9.2%
3 2097
9.0%
9 553
 
2.4%
N 485
 
2.1%
Other values (4) 561
 
2.4%
Hangul
ValueCountFrequency (%)
강 77
50.0%
동 77
50.0%

노선명
Text

Distinct82
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size52.5 KiB
2024-05-11T15:06:31.949387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length21
Mean length17.002832
Min length12

Characters and Unicode

Total characters114072
Distinct characters167
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row360번(송파차고지~여의도)
2nd row441번(월암공영차고지~신사사거리)
3rd row441번(월암공영차고지~신사사거리)
4th row441번(월암공영차고지~신사사거리)
5th row441번(월암공영차고지~신사사거리)
ValueCountFrequency (%)
542번(군포버스공영차고지~신사역 137
 
2.0%
n26번(강서공영차고지~중랑공영차고지 129
 
1.8%
707번(가좌동~서울역 127
 
1.8%
n26번(중랑공영차고지~강서공영차고지 126
 
1.8%
661번(부천상동~영등포역,신세계백화점 126
 
1.8%
541번(군포공영차고지~강남역 123
 
1.8%
441번(월암공영차고지~신사사거리 122
 
1.7%
302번(성남~동대문 120
 
1.7%
107번(민락동차고지~동대문 119
 
1.7%
9408번(구미동차고지~고속터미널 117
 
1.7%
Other values (75) 5730
82.1%
2024-05-11T15:06:32.578064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 6872
 
6.0%
) 6872
 
6.0%
~ 6709
 
5.9%
번 6456
 
5.7%
동 4459
 
3.9%
고 3947
 
3.5%
지 3920
 
3.4%
차 3656
 
3.2%
7 3606
 
3.2%
0 3151
 
2.8%
Other values (157) 64424
56.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69209
60.7%
Decimal Number 22780
 
20.0%
Open Punctuation 6872
 
6.0%
Close Punctuation 6872
 
6.0%
Math Symbol 6709
 
5.9%
Uppercase Letter 740
 
0.6%
Other Punctuation 606
 
0.5%
Space Separator 267
 
0.2%
Dash Punctuation 17
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
번 6456
 
9.3%
동 4459
 
6.4%
고 3947
 
5.7%
지 3920
 
5.7%
차 3656
 
5.3%
영 2996
 
4.3%
역 2742
 
4.0%
공 2665
 
3.9%
대 1753
 
2.5%
서 1577
 
2.3%
Other values (137) 35038
50.6%
Decimal Number
ValueCountFrequency (%)
7 3606
15.8%
0 3151
13.8%
5 3125
13.7%
2 2847
12.5%
1 2759
12.1%
6 2206
9.7%
4 2147
9.4%
3 2097
9.2%
9 553
 
2.4%
8 289
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
N 485
65.5%
B 185
 
25.0%
A 70
 
9.5%
Other Punctuation
ValueCountFrequency (%)
, 488
80.5%
. 118
 
19.5%
Open Punctuation
ValueCountFrequency (%)
( 6872
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6872
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6709
100.0%
Space Separator
ValueCountFrequency (%)
267
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 69209
60.7%
Common 44123
38.7%
Latin 740
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
번 6456
 
9.3%
동 4459
 
6.4%
고 3947
 
5.7%
지 3920
 
5.7%
차 3656
 
5.3%
영 2996
 
4.3%
역 2742
 
4.0%
공 2665
 
3.9%
대 1753
 
2.5%
서 1577
 
2.3%
Other values (137) 35038
50.6%
Common
ValueCountFrequency (%)
( 6872
15.6%
) 6872
15.6%
~ 6709
15.2%
7 3606
8.2%
0 3151
7.1%
5 3125
7.1%
2 2847
6.5%
1 2759
6.3%
6 2206
 
5.0%
4 2147
 
4.9%
Other values (7) 3829
8.7%
Latin
ValueCountFrequency (%)
N 485
65.5%
B 185
 
25.0%
A 70
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69209
60.7%
ASCII 44863
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 6872
15.3%
) 6872
15.3%
~ 6709
15.0%
7 3606
8.0%
0 3151
7.0%
5 3125
7.0%
2 2847
6.3%
1 2759
6.1%
6 2206
 
4.9%
4 2147
 
4.8%
Other values (10) 4569
10.2%
Hangul
ValueCountFrequency (%)
번 6456
 
9.3%
동 4459
 
6.4%
고 3947
 
5.7%
지 3920
 
5.7%
차 3656
 
5.3%
영 2996
 
4.3%
역 2742
 
4.0%
공 2665
 
3.9%
대 1753
 
2.5%
서 1577
 
2.3%
Other values (137) 35038
50.6%

표준버스정류장ID
Real number (ℝ)

Distinct3651
Distinct (%)54.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5445505 × 108
Minimum1 × 108
Maximum9.998 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size59.1 KiB
2024-05-11T15:06:32.797748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1 × 108
5-th percentile1.0100031 × 108
Q11.120004 × 108
median1.2100001 × 108
Q32.1000035 × 108
95-th percentile2.2200149 × 108
Maximum9.998 × 108
Range8.998 × 108
Interquartile range (IQR)97999942

Descriptive statistics

Standard deviation64549343
Coefficient of variation (CV)0.41791668
Kurtosis67.151252
Mean1.5445505 × 108
Median Absolute Deviation (MAD)15999523
Skewness5.4832185
Sum1.0362389 × 1012
Variance4.1666177 × 1015
MonotonicityNot monotonic
2024-05-11T15:06:33.013668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
117000003 11
 
0.2%
117000002 10
 
0.1%
121000009 10
 
0.1%
121000008 10
 
0.1%
121000007 10
 
0.1%
121000006 10
 
0.1%
121000005 10
 
0.1%
112000408 9
 
0.1%
112000401 9
 
0.1%
121000013 9
 
0.1%
Other values (3641) 6611
98.5%
ValueCountFrequency (%)
100000001 2
< 0.1%
100000002 1
< 0.1%
100000003 1
< 0.1%
100000004 2
< 0.1%
100000005 1
< 0.1%
100000006 1
< 0.1%
100000007 1
< 0.1%
100000008 1
< 0.1%
100000015 1
< 0.1%
100000016 1
< 0.1%
ValueCountFrequency (%)
999800005 1
 
< 0.1%
999800004 1
 
< 0.1%
999800003 1
 
< 0.1%
999033574 4
0.1%
998501980 2
< 0.1%
998501973 1
 
< 0.1%
998501932 1
 
< 0.1%
998501931 1
 
< 0.1%
998001900 1
 
< 0.1%
998001700 2
< 0.1%

버스정류장ARS번호
Text

Distinct3615
Distinct (%)53.9%
Missing0
Missing (%)0.0%
Memory size52.5 KiB
2024-05-11T15:06:33.496545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.9904606
Min length1

Characters and Unicode

Total characters33481
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2049 ?
Unique (%)30.5%

Sample

1st row23251
2nd row56604
3rd row56039
4th row56603
5th row56052
ValueCountFrequency (%)
16
 
0.2%
18003 11
 
0.2%
18002 10
 
0.1%
22009 10
 
0.1%
22008 10
 
0.1%
22007 10
 
0.1%
22006 10
 
0.1%
22005 10
 
0.1%
13040 9
 
0.1%
13033 9
 
0.1%
Other values (3605) 6604
98.4%
2024-05-11T15:06:34.316253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 6490
19.4%
0 5988
17.9%
2 4406
13.2%
3 3655
10.9%
4 2775
8.3%
6 2557
 
7.6%
5 2278
 
6.8%
7 2014
 
6.0%
8 1876
 
5.6%
9 1426
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33465
> 99.9%
Math Symbol 16
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6490
19.4%
0 5988
17.9%
2 4406
13.2%
3 3655
10.9%
4 2775
8.3%
6 2557
 
7.6%
5 2278
 
6.8%
7 2014
 
6.0%
8 1876
 
5.6%
9 1426
 
4.3%
Math Symbol
ValueCountFrequency (%)
~ 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33481
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 6490
19.4%
0 5988
17.9%
2 4406
13.2%
3 3655
10.9%
4 2775
8.3%
6 2557
 
7.6%
5 2278
 
6.8%
7 2014
 
6.0%
8 1876
 
5.6%
9 1426
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33481
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 6490
19.4%
0 5988
17.9%
2 4406
13.2%
3 3655
10.9%
4 2775
8.3%
6 2557
 
7.6%
5 2278
 
6.8%
7 2014
 
6.0%
8 1876
 
5.6%
9 1426
 
4.3%

역명
Text

Distinct6333
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size52.5 KiB
2024-05-11T15:06:34.805762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length30
Mean length15.147116
Min length9

Characters and Unicode

Total characters101622
Distinct characters541
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6020 ?
Unique (%)89.7%

Sample

1st row무역센터.삼성역(00077)
2nd row호계구삼거리(00105)
3rd row인덕원역3번출구(00034)
4th row한성병원.민방위교육장(00104)
5th row민백마을(00030)
ValueCountFrequency (%)
하안버스공영차고지(00002 6
 
0.1%
광명차고지(00001 5
 
0.1%
덕은교.은평차고지앞(00002 5
 
0.1%
군포보건소(00002 5
 
0.1%
은평공영차고지(00001 4
 
0.1%
동해운수(00001 4
 
0.1%
수색교(00003 4
 
0.1%
군포공영차고지(00001 4
 
0.1%
온신초등학교(00002 4
 
0.1%
디지털미디어시티역(00005 3
 
< 0.1%
Other values (6323) 6665
99.3%
2024-05-11T15:06:35.528373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 21228
 
20.9%
) 6947
 
6.8%
( 6947
 
6.8%
1 2446
 
2.4%
. 2320
 
2.3%
2 1765
 
1.7%
3 1588
 
1.6%
4 1505
 
1.5%
5 1473
 
1.4%
6 1404
 
1.4%
Other values (531) 53999
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 49850
49.1%
Decimal Number 34965
34.4%
Close Punctuation 6947
 
6.8%
Open Punctuation 6947
 
6.8%
Other Punctuation 2328
 
2.3%
Uppercase Letter 558
 
0.5%
Lowercase Letter 25
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
역 1316
 
2.6%
동 1276
 
2.6%
교 1216
 
2.4%
지 1074
 
2.2%
구 992
 
2.0%
파 967
 
1.9%
아 916
 
1.8%
트 895
 
1.8%
학 848
 
1.7%
대 830
 
1.7%
Other values (490) 39520
79.3%
Uppercase Letter
ValueCountFrequency (%)
C 88
15.8%
K 73
13.1%
M 71
12.7%
T 68
12.2%
D 67
12.0%
L 38
6.8%
G 37
6.6%
S 26
 
4.7%
B 22
 
3.9%
N 11
 
2.0%
Other values (11) 57
10.2%
Decimal Number
ValueCountFrequency (%)
0 21228
60.7%
1 2446
 
7.0%
2 1765
 
5.0%
3 1588
 
4.5%
4 1505
 
4.3%
5 1473
 
4.2%
6 1404
 
4.0%
7 1315
 
3.8%
8 1178
 
3.4%
9 1063
 
3.0%
Other Punctuation
ValueCountFrequency (%)
. 2320
99.7%
& 6
 
0.3%
? 1
 
< 0.1%
, 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
e 23
92.0%
k 1
 
4.0%
t 1
 
4.0%
Close Punctuation
ValueCountFrequency (%)
) 6947
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6947
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 51189
50.4%
Hangul 49850
49.1%
Latin 583
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
역 1316
 
2.6%
동 1276
 
2.6%
교 1216
 
2.4%
지 1074
 
2.2%
구 992
 
2.0%
파 967
 
1.9%
아 916
 
1.8%
트 895
 
1.8%
학 848
 
1.7%
대 830
 
1.7%
Other values (490) 39520
79.3%
Latin
ValueCountFrequency (%)
C 88
15.1%
K 73
12.5%
M 71
12.2%
T 68
11.7%
D 67
11.5%
L 38
6.5%
G 37
6.3%
S 26
 
4.5%
e 23
 
3.9%
B 22
 
3.8%
Other values (14) 70
12.0%
Common
ValueCountFrequency (%)
0 21228
41.5%
) 6947
 
13.6%
( 6947
 
13.6%
1 2446
 
4.8%
. 2320
 
4.5%
2 1765
 
3.4%
3 1588
 
3.1%
4 1505
 
2.9%
5 1473
 
2.9%
6 1404
 
2.7%
Other values (7) 3566
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 51772
50.9%
Hangul 49850
49.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 21228
41.0%
) 6947
 
13.4%
( 6947
 
13.4%
1 2446
 
4.7%
. 2320
 
4.5%
2 1765
 
3.4%
3 1588
 
3.1%
4 1505
 
2.9%
5 1473
 
2.8%
6 1404
 
2.7%
Other values (31) 4149
 
8.0%
Hangul
ValueCountFrequency (%)
역 1316
 
2.6%
동 1276
 
2.6%
교 1216
 
2.4%
지 1074
 
2.2%
구 992
 
2.0%
파 967
 
1.9%
아 916
 
1.8%
트 895
 
1.8%
학 848
 
1.7%
대 830
 
1.7%
Other values (490) 39520
79.3%

승차총승객수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct442
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.49441
Minimum0
Maximum1441
Zeros446
Zeros (%)6.6%
Negative0
Negative (%)0.0%
Memory size59.1 KiB
2024-05-11T15:06:35.784088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median39
Q395
95-th percentile242.6
Maximum1441
Range1441
Interquartile range (IQR)85

Descriptive statistics

Standard deviation96.536755
Coefficient of variation (CV)1.3694243
Kurtosis23.510672
Mean70.49441
Median Absolute Deviation (MAD)34
Skewness3.6263579
Sum472947
Variance9319.3451
MonotonicityNot monotonic
2024-05-11T15:06:36.113904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 446
 
6.6%
1 257
 
3.8%
2 188
 
2.8%
3 155
 
2.3%
4 119
 
1.8%
6 107
 
1.6%
5 106
 
1.6%
8 102
 
1.5%
7 93
 
1.4%
9 89
 
1.3%
Other values (432) 5047
75.2%
ValueCountFrequency (%)
0 446
6.6%
1 257
3.8%
2 188
2.8%
3 155
 
2.3%
4 119
 
1.8%
5 106
 
1.6%
6 107
 
1.6%
7 93
 
1.4%
8 102
 
1.5%
9 89
 
1.3%
ValueCountFrequency (%)
1441 1
< 0.1%
1191 1
< 0.1%
1115 1
< 0.1%
1028 1
< 0.1%
1008 1
< 0.1%
938 1
< 0.1%
853 1
< 0.1%
834 1
< 0.1%
800 1
< 0.1%
792 1
< 0.1%

하차총승객수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct423
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.213743
Minimum0
Maximum1298
Zeros285
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size59.1 KiB
2024-05-11T15:06:36.489832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q112
median40
Q391
95-th percentile234
Maximum1298
Range1298
Interquartile range (IQR)79

Descriptive statistics

Standard deviation92.539459
Coefficient of variation (CV)1.3370099
Kurtosis25.68148
Mean69.213743
Median Absolute Deviation (MAD)34
Skewness3.8227116
Sum464355
Variance8563.5515
MonotonicityNot monotonic
2024-05-11T15:06:36.831404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 285
 
4.2%
1 211
 
3.1%
2 199
 
3.0%
3 163
 
2.4%
4 129
 
1.9%
5 121
 
1.8%
6 117
 
1.7%
7 96
 
1.4%
8 93
 
1.4%
11 93
 
1.4%
Other values (413) 5202
77.5%
ValueCountFrequency (%)
0 285
4.2%
1 211
3.1%
2 199
3.0%
3 163
2.4%
4 129
1.9%
5 121
1.8%
6 117
1.7%
7 96
 
1.4%
8 93
 
1.4%
9 85
 
1.3%
ValueCountFrequency (%)
1298 1
< 0.1%
1157 1
< 0.1%
1140 1
< 0.1%
957 1
< 0.1%
946 1
< 0.1%
906 1
< 0.1%
883 1
< 0.1%
876 1
< 0.1%
863 1
< 0.1%
838 1
< 0.1%

등록일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size52.5 KiB
20240304
6709 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20240304
2nd row20240304
3rd row20240304
4th row20240304
5th row20240304

Common Values

ValueCountFrequency (%)
20240304 6709
100.0%

Length

2024-05-11T15:06:37.125989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:06:37.314900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20240304 6709
100.0%

Interactions

2024-05-11T15:06:29.151722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:06:27.953840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:06:28.513767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:06:29.440066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:06:28.121557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:06:28.716044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:06:29.621978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:06:28.346660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:06:28.917873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T15:06:37.446982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
노선번호노선명표준버스정류장ID승차총승객수하차총승객수
노선번호1.0001.0000.6480.4110.433
노선명1.0001.0000.6480.3960.418
표준버스정류장ID0.6480.6481.0000.1690.183
승차총승객수0.4110.3960.1691.0000.499
하차총승객수0.4330.4180.1830.4991.000
2024-05-11T15:06:37.671235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
표준버스정류장ID승차총승객수하차총승객수
표준버스정류장ID1.000-0.208-0.200
승차총승객수-0.2081.0000.541
하차총승객수-0.2000.5411.000

Missing values

2024-05-11T15:06:29.840739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T15:06:30.137363image/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.

Sample

사용일자노선번호노선명표준버스정류장ID버스정류장ARS번호역명승차총승객수하차총승객수등록일자
020240301360360번(송파차고지~여의도)12200014823251무역센터.삼성역(00077)23129620240304
120240301441441번(월암공영차고지~신사사거리)20900024056604호계구삼거리(00105)36420240304
220240301441441번(월암공영차고지~신사사거리)20900014256039인덕원역3번출구(00034)15131420240304
320240301441441번(월암공영차고지~신사사거리)20900012156603한성병원.민방위교육장(00104)2713920240304
420240301441441번(월암공영차고지~신사사거리)20900011456052민백마을(00030)1024720240304
520240301441441번(월암공영차고지~신사사거리)20900011310168오뚜기식품.두산벤처다임.나눔초등학교(00031)2025220240304
620240301441441번(월암공영차고지~신사사거리)20900011210174평촌동주민센터.인덕원대우아파트(00032)1158320240304
720240301441441번(월암공영차고지~신사사거리)20900011156043인덕원초교.삼성아파트(00033)5728420240304
820240301441441번(월암공영차고지~신사사거리)20900008056601호계소방파출소(00103)12520240304
920240301441441번(월암공영차고지~신사사거리)20900003156044인덕원사거리.인덕원역(00095)62031520240304
사용일자노선번호노선명표준버스정류장ID버스정류장ARS번호역명승차총승객수하차총승객수등록일자
669920240301721721번(북가좌동~건대입구역)11200020213285서부운수기점(00001)132120240304
670020240301721721번(북가좌동~건대입구역)11200043013045충정로역(00018)909320240304
670120240301721721번(북가좌동~건대입구역)11200043213339DMC파크뷰자이(00085)2320120240304
670220240301721721번(북가좌동~건대입구역)11300013514226연남동(00011)47217520240304
670320240301721721번(북가좌동~건대입구역)11300041113025이대역(00076)10819720240304
670420240301721721번(북가좌동~건대입구역)11300041513019동교동삼거리(00079)10826120240304
670520240301721721번(북가좌동~건대입구역)11300041613021신촌오거리.현대백화점(00078)42318320240304
670620240301721721번(북가좌동~건대입구역)11200042913046충정로역(00073)878420240304
670720240301721721번(북가좌동~건대입구역)11300041713023신촌오거리.2호선신촌역(00077)15522720240304
670820240301721721번(북가좌동~건대입구역)11300041814064이대역(00015)14612020240304