Overview

Dataset statistics

Number of variables23
Number of observations586
Missing cells96
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory108.3 KiB
Average record size in memory189.2 B

Variable types

Text6
Categorical11
Numeric4
Boolean2

Dataset

Description시설명,시도명,시군구명,시군구코드,소재지도로명주소,소재지지번주소,위도,경도,설치장소설명,평일운영시작시각,평일운영종료시각,토요일운영시작시각,토요일운영종료시각,공휴일운영시작시각,공휴일운영종료시각,동시사용가능대수,공기주입가능여부,휴대전화충전가능여부,관리기관명,관리기관전화번호,데이터기준일자,제공기관코드,작업일시
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-15813/S/1/datasetView.do

Alerts

시도명 has constant value ""Constant
평일운영시작시각 is highly imbalanced (56.7%)Imbalance
평일운영종료시각 is highly imbalanced (50.6%)Imbalance
토요일운영시작시각 is highly imbalanced (53.5%)Imbalance
공휴일운영시작시각 is highly imbalanced (58.6%)Imbalance
공휴일운영종료시각 is highly imbalanced (51.6%)Imbalance
동시사용가능대수 is highly imbalanced (57.9%)Imbalance
소재지도로명주소 has 13 (2.2%) missing valuesMissing
소재지지번주소 has 83 (14.2%) missing valuesMissing

Reproduction

Analysis started2024-05-11 02:44:42.929432
Analysis finished2024-05-11 02:44:45.443259
Duration2.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

Distinct513
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2024-05-11T02:44:45.857923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length16
Mean length7.4197952
Min length3

Characters and Unicode

Total characters4348
Distinct characters319
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

Unique499 ?
Unique (%)85.2%

Sample

1st row봉화산역
2nd row사가정역
3rd row상봉역
4th row신내역
5th row양원역
ValueCountFrequency (%)
영등포구 34
 
5.1%
주민센터 20
 
3.0%
전동휠체어급속충전기 12
 
1.8%
노유자시설 9
 
1.3%
교통시설 8
 
1.2%
행정청사 6
 
0.9%
7호선 5
 
0.7%
순환산책로 3
 
0.4%
별관 3
 
0.4%
커뮤니티센터 2
 
0.3%
Other values (544) 568
84.8%
2024-05-11T02:44:47.171777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 193
 
4.4%
센 190
 
4.4%
동 176
 
4.0%
민 141
 
3.2%
주 132
 
3.0%
역 122
 
2.8%
지 116
 
2.7%
구 112
 
2.6%
관 106
 
2.4%
장 92
 
2.1%
Other values (309) 2968
68.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4040
92.9%
Decimal Number 138
 
3.2%
Space Separator 84
 
1.9%
Close Punctuation 39
 
0.9%
Open Punctuation 39
 
0.9%
Uppercase Letter 5
 
0.1%
Other Punctuation 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 193
 
4.8%
센 190
 
4.7%
동 176
 
4.4%
민 141
 
3.5%
주 132
 
3.3%
역 122
 
3.0%
지 116
 
2.9%
구 112
 
2.8%
관 106
 
2.6%
장 92
 
2.3%
Other values (290) 2660
65.8%
Decimal Number
ValueCountFrequency (%)
1 40
29.0%
2 39
28.3%
3 21
15.2%
7 13
 
9.4%
4 11
 
8.0%
5 7
 
5.1%
6 4
 
2.9%
9 2
 
1.4%
0 1
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
D 2
40.0%
L 1
20.0%
P 1
20.0%
H 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
84
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4040
92.9%
Common 303
 
7.0%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 193
 
4.8%
센 190
 
4.7%
동 176
 
4.4%
민 141
 
3.5%
주 132
 
3.3%
역 122
 
3.0%
지 116
 
2.9%
구 112
 
2.8%
관 106
 
2.6%
장 92
 
2.3%
Other values (290) 2660
65.8%
Common
ValueCountFrequency (%)
84
27.7%
1 40
13.2%
) 39
12.9%
( 39
12.9%
2 39
12.9%
3 21
 
6.9%
7 13
 
4.3%
4 11
 
3.6%
5 7
 
2.3%
6 4
 
1.3%
Other values (5) 6
 
2.0%
Latin
ValueCountFrequency (%)
D 2
40.0%
L 1
20.0%
P 1
20.0%
H 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4040
92.9%
ASCII 308
 
7.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 193
 
4.8%
센 190
 
4.7%
동 176
 
4.4%
민 141
 
3.5%
주 132
 
3.3%
역 122
 
3.0%
지 116
 
2.9%
구 112
 
2.8%
관 106
 
2.6%
장 92
 
2.3%
Other values (290) 2660
65.8%
ASCII
ValueCountFrequency (%)
84
27.3%
1 40
13.0%
) 39
12.7%
( 39
12.7%
2 39
12.7%
3 21
 
6.8%
7 13
 
4.2%
4 11
 
3.6%
5 7
 
2.3%
6 4
 
1.3%
Other values (9) 11
 
3.6%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
서울특별시
586 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시 586
100.0%

Length

2024-05-11T02:44:47.681282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:44:48.077381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 586
100.0%

시군구명
Categorical

Distinct24
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
노원구
59 
광진구
 
37
강서구
 
37
서대문구
 
36
관악구
 
34
Other values (19)
383 

Length

Max length4
Median length3
Mean length3.1228669
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노원구 59
 
10.1%
광진구 37
 
6.3%
강서구 37
 
6.3%
서대문구 36
 
6.1%
관악구 34
 
5.8%
영등포구 34
 
5.8%
중랑구 33
 
5.6%
송파구 31
 
5.3%
도봉구 26
 
4.4%
강남구 23
 
3.9%
Other values (14) 236
40.3%

Length

2024-05-11T02:44:48.471630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
노원구 59
 
10.1%
강서구 37
 
6.3%
광진구 37
 
6.3%
서대문구 36
 
6.1%
관악구 34
 
5.8%
영등포구 34
 
5.8%
중랑구 33
 
5.6%
송파구 31
 
5.3%
도봉구 26
 
4.4%
강남구 23
 
3.9%
Other values (14) 236
40.3%

시군구코드
Real number (ℝ)

Distinct25
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13655.981
Minimum11110
Maximum32100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-05-11T02:44:48.875668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11110
5-th percentile11170
Q111260
median11470
Q311620
95-th percentile30900
Maximum32100
Range20990
Interquartile range (IQR)360

Descriptive statistics

Standard deviation6277.502
Coefficient of variation (CV)0.45968883
Kurtosis4.0768623
Mean13655.981
Median Absolute Deviation (MAD)165
Skewness2.4585371
Sum8002405
Variance39407031
MonotonicityNot monotonic
2024-05-11T02:44:49.342053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
11350 59
 
10.1%
11215 37
 
6.3%
11500 37
 
6.3%
11560 34
 
5.8%
11410 34
 
5.8%
11620 34
 
5.8%
11260 33
 
5.6%
11710 31
 
5.3%
30900 26
 
4.4%
11680 23
 
3.9%
Other values (15) 238
40.6%
ValueCountFrequency (%)
11110 12
 
2.0%
11140 15
 
2.6%
11170 18
 
3.1%
11200 17
 
2.9%
11215 37
6.3%
11230 17
 
2.9%
11260 33
5.6%
11305 21
 
3.6%
11350 59
10.1%
11380 21
 
3.6%
ValueCountFrequency (%)
32100 22
3.8%
30900 26
4.4%
30700 18
3.1%
11740 22
3.8%
11710 31
5.3%
11680 23
3.9%
11620 34
5.8%
11590 2
 
0.3%
11560 34
5.8%
11545 19
3.2%

소재지도로명주소
Text

MISSING 

Distinct545
Distinct (%)95.1%
Missing13
Missing (%)2.2%
Memory size4.7 KiB
2024-05-11T02:44:50.143454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length38
Mean length19.647469
Min length15

Characters and Unicode

Total characters11258
Distinct characters242
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

Unique522 ?
Unique (%)91.1%

Sample

1st row서울특별시 중랑구 신내로 232
2nd row서울특별시 중랑구 사가정로 393
3rd row서울특별시 중랑구 망우로 297
4th row서울특별시 중랑구 신내역로 20
5th row서울특별시 중랑구 송림길 147
ValueCountFrequency (%)
서울특별시 573
 
24.0%
노원구 55
 
2.3%
광진구 37
 
1.6%
강서구 37
 
1.6%
영등포구 34
 
1.4%
중랑구 32
 
1.3%
관악구 31
 
1.3%
송파구 31
 
1.3%
서대문구 28
 
1.2%
도봉구 26
 
1.1%
Other values (774) 1502
63.0%
2024-05-11T02:44:51.401451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1813
 
16.1%
서 679
 
6.0%
구 598
 
5.3%
로 592
 
5.3%
시 582
 
5.2%
특 573
 
5.1%
별 573
 
5.1%
울 573
 
5.1%
1 339
 
3.0%
2 261
 
2.3%
Other values (232) 4675
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7325
65.1%
Decimal Number 1912
 
17.0%
Space Separator 1813
 
16.1%
Open Punctuation 70
 
0.6%
Close Punctuation 70
 
0.6%
Dash Punctuation 51
 
0.5%
Other Punctuation 16
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 679
 
9.3%
구 598
 
8.2%
로 592
 
8.1%
시 582
 
7.9%
특 573
 
7.8%
별 573
 
7.8%
울 573
 
7.8%
길 232
 
3.2%
동 174
 
2.4%
대 118
 
1.6%
Other values (216) 2631
35.9%
Decimal Number
ValueCountFrequency (%)
1 339
17.7%
2 261
13.7%
3 234
12.2%
4 194
10.1%
5 193
10.1%
6 159
8.3%
7 151
7.9%
0 144
7.5%
9 128
 
6.7%
8 109
 
5.7%
Space Separator
ValueCountFrequency (%)
1813
100.0%
Open Punctuation
ValueCountFrequency (%)
( 70
100.0%
Close Punctuation
ValueCountFrequency (%)
) 70
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%
Other Punctuation
ValueCountFrequency (%)
, 16
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7325
65.1%
Common 3932
34.9%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 679
 
9.3%
구 598
 
8.2%
로 592
 
8.1%
시 582
 
7.9%
특 573
 
7.8%
별 573
 
7.8%
울 573
 
7.8%
길 232
 
3.2%
동 174
 
2.4%
대 118
 
1.6%
Other values (216) 2631
35.9%
Common
ValueCountFrequency (%)
1813
46.1%
1 339
 
8.6%
2 261
 
6.6%
3 234
 
6.0%
4 194
 
4.9%
5 193
 
4.9%
6 159
 
4.0%
7 151
 
3.8%
0 144
 
3.7%
9 128
 
3.3%
Other values (5) 316
 
8.0%
Latin
ValueCountFrequency (%)
C 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7325
65.1%
ASCII 3933
34.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1813
46.1%
1 339
 
8.6%
2 261
 
6.6%
3 234
 
5.9%
4 194
 
4.9%
5 193
 
4.9%
6 159
 
4.0%
7 151
 
3.8%
0 144
 
3.7%
9 128
 
3.3%
Other values (6) 317
 
8.1%
Hangul
ValueCountFrequency (%)
서 679
 
9.3%
구 598
 
8.2%
로 592
 
8.1%
시 582
 
7.9%
특 573
 
7.8%
별 573
 
7.8%
울 573
 
7.8%
길 232
 
3.2%
동 174
 
2.4%
대 118
 
1.6%
Other values (216) 2631
35.9%

소재지지번주소
Text

MISSING 

Distinct471
Distinct (%)93.6%
Missing83
Missing (%)14.2%
Memory size4.7 KiB
2024-05-11T02:44:51.942598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length18.884692
Min length15

Characters and Unicode

Total characters9499
Distinct characters168
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique445 ?
Unique (%)88.5%

Sample

1st row서울특별시 중랑구 신내동 643-1
2nd row서울특별시 중랑구 면목동 495
3rd row서울특별시 중랑구 상봉동 100-46
4th row서울특별시 중랑구 망우동 320-2
5th row서울특별시 중랑구 망우동 269-5
ValueCountFrequency (%)
서울특별시 503
25.0%
노원구 60
 
3.0%
강서구 37
 
1.8%
영등포구 34
 
1.7%
관악구 34
 
1.7%
서대문구 32
 
1.6%
중랑구 32
 
1.6%
송파구 31
 
1.5%
도봉구 26
 
1.3%
상계동 24
 
1.2%
Other values (642) 1199
59.6%
2024-05-11T02:44:52.754663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1509
15.9%
서 606
 
6.4%
동 533
 
5.6%
구 529
 
5.6%
시 512
 
5.4%
별 503
 
5.3%
특 503
 
5.3%
울 503
 
5.3%
1 399
 
4.2%
- 359
 
3.8%
Other values (158) 3543
37.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5660
59.6%
Decimal Number 1970
 
20.7%
Space Separator 1509
 
15.9%
Dash Punctuation 359
 
3.8%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 606
 
10.7%
동 533
 
9.4%
구 529
 
9.3%
시 512
 
9.0%
별 503
 
8.9%
특 503
 
8.9%
울 503
 
8.9%
강 104
 
1.8%
천 67
 
1.2%
원 66
 
1.2%
Other values (145) 1734
30.6%
Decimal Number
ValueCountFrequency (%)
1 399
20.3%
2 265
13.5%
3 208
10.6%
6 179
9.1%
5 179
9.1%
7 171
8.7%
4 163
8.3%
8 137
 
7.0%
0 136
 
6.9%
9 133
 
6.8%
Space Separator
ValueCountFrequency (%)
1509
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 359
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5660
59.6%
Common 3839
40.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 606
 
10.7%
동 533
 
9.4%
구 529
 
9.3%
시 512
 
9.0%
별 503
 
8.9%
특 503
 
8.9%
울 503
 
8.9%
강 104
 
1.8%
천 67
 
1.2%
원 66
 
1.2%
Other values (145) 1734
30.6%
Common
ValueCountFrequency (%)
1509
39.3%
1 399
 
10.4%
- 359
 
9.4%
2 265
 
6.9%
3 208
 
5.4%
6 179
 
4.7%
5 179
 
4.7%
7 171
 
4.5%
4 163
 
4.2%
8 137
 
3.6%
Other values (3) 270
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5660
59.6%
ASCII 3839
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1509
39.3%
1 399
 
10.4%
- 359
 
9.4%
2 265
 
6.9%
3 208
 
5.4%
6 179
 
4.7%
5 179
 
4.7%
7 171
 
4.5%
4 163
 
4.2%
8 137
 
3.6%
Other values (3) 270
 
7.0%
Hangul
ValueCountFrequency (%)
서 606
 
10.7%
동 533
 
9.4%
구 529
 
9.3%
시 512
 
9.0%
별 503
 
8.9%
특 503
 
8.9%
울 503
 
8.9%
강 104
 
1.8%
천 67
 
1.2%
원 66
 
1.2%
Other values (145) 1734
30.6%

위도
Real number (ℝ)

Distinct560
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.559278
Minimum37.43937
Maximum37.689751
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-05-11T02:44:53.195399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.43937
5-th percentile37.472073
Q137.511263
median37.559349
Q337.602236
95-th percentile37.657084
Maximum37.689751
Range0.25038092
Interquartile range (IQR)0.090973013

Descriptive statistics

Standard deviation0.058089062
Coefficient of variation (CV)0.0015465969
Kurtosis-0.81720468
Mean37.559278
Median Absolute Deviation (MAD)0.044787485
Skewness0.19981826
Sum22009.737
Variance0.0033743392
MonotonicityNot monotonic
2024-05-11T02:44:53.649121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.64253762 3
 
0.5%
37.65568696 3
 
0.5%
37.550536 3
 
0.5%
37.66943029 3
 
0.5%
37.561554 2
 
0.3%
37.58315217 2
 
0.3%
37.47821067 2
 
0.3%
37.5641201543 2
 
0.3%
37.53757063 2
 
0.3%
37.66882585 2
 
0.3%
Other values (550) 562
95.9%
ValueCountFrequency (%)
37.4393697826 1
0.2%
37.4402590318 1
0.2%
37.449358 1
0.2%
37.449611 1
0.2%
37.450673 1
0.2%
37.45331173 1
0.2%
37.453554 1
0.2%
37.45661448 1
0.2%
37.456851 1
0.2%
37.457013 1
0.2%
ValueCountFrequency (%)
37.6897507 1
0.2%
37.68912056 1
0.2%
37.68212785 1
0.2%
37.68036291 1
0.2%
37.68015918 1
0.2%
37.67991633 1
0.2%
37.67869086 1
0.2%
37.678524 1
0.2%
37.67762594 1
0.2%
37.67648534 1
0.2%

경도
Real number (ℝ)

Distinct560
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.00086
Minimum126.80157
Maximum127.17391
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-05-11T02:44:54.087996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.80157
5-th percentile126.84569
Q1126.92198
median127.02333
Q3127.07298
95-th percentile127.12788
Maximum127.17391
Range0.3723369
Interquartile range (IQR)0.15100793

Descriptive statistics

Standard deviation0.088017022
Coefficient of variation (CV)0.00069304271
Kurtosis-0.9410717
Mean127.00086
Median Absolute Deviation (MAD)0.0648204
Skewness-0.33850524
Sum74422.505
Variance0.0077469961
MonotonicityNot monotonic
2024-05-11T02:44:54.542815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0569196 3
 
0.5%
127.069357 3
 
0.5%
127.097915 3
 
0.5%
127.0477018 3
 
0.5%
126.854388 2
 
0.3%
127.0731933 2
 
0.3%
126.9515012 2
 
0.3%
126.9980097289 2
 
0.3%
127.070576 2
 
0.3%
127.079787 2
 
0.3%
Other values (550) 562
95.9%
ValueCountFrequency (%)
126.8015703 1
0.2%
126.8060017 1
0.2%
126.8100743 1
0.2%
126.8119256 1
0.2%
126.812581 2
0.3%
126.8126299 1
0.2%
126.8156881 1
0.2%
126.8201671 1
0.2%
126.8233816 1
0.2%
126.8255148 1
0.2%
ValueCountFrequency (%)
127.1739072 1
0.2%
127.1683006 1
0.2%
127.164313 1
0.2%
127.158815 1
0.2%
127.155182 1
0.2%
127.152027 1
0.2%
127.1515076 1
0.2%
127.1513524 1
0.2%
127.1499482 1
0.2%
127.148542 1
0.2%

설치장소설명
Text

Distinct513
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2024-05-11T02:44:55.238265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length28
Mean length12.918089
Min length2

Characters and Unicode

Total characters7570
Distinct characters369
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

Unique490 ?
Unique (%)83.6%

Sample

1st row봉화산역(지하1층 임대상가(봉화청과) 좌측)
2nd row사가정역(개찰구 안쪽)
3rd row상봉역(7번출구 개찰구 앞쪽)
4th row신내역(2층 화장실 옆)
5th row양원역(1번출구 나가는 방향 가운데)
ValueCountFrequency (%)
1층 177
 
10.4%
옆 82
 
4.8%
입구 57
 
3.4%
앞 48
 
2.8%
출입구 33
 
1.9%
2층 28
 
1.7%
지하1층 28
 
1.7%
지하 26
 
1.5%
로비 23
 
1.4%
민원실 22
 
1.3%
Other values (702) 1170
69.1%
2024-05-11T02:44:56.250041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1112
 
14.7%
층 339
 
4.5%
1 335
 
4.4%
구 218
 
2.9%
지 182
 
2.4%
터 158
 
2.1%
센 131
 
1.7%
) 130
 
1.7%
( 127
 
1.7%
민 121
 
1.6%
Other values (359) 4717
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5521
72.9%
Space Separator 1112
 
14.7%
Decimal Number 580
 
7.7%
Close Punctuation 130
 
1.7%
Open Punctuation 127
 
1.7%
Uppercase Letter 47
 
0.6%
Other Punctuation 36
 
0.5%
Dash Punctuation 14
 
0.2%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
층 339
 
6.1%
구 218
 
3.9%
지 182
 
3.3%
터 158
 
2.9%
센 131
 
2.4%
민 121
 
2.2%
관 119
 
2.2%
입 116
 
2.1%
장 111
 
2.0%
실 109
 
2.0%
Other values (327) 3917
70.9%
Uppercase Letter
ValueCountFrequency (%)
B 24
51.1%
E 4
 
8.5%
M 4
 
8.5%
V 3
 
6.4%
T 2
 
4.3%
A 2
 
4.3%
D 2
 
4.3%
C 1
 
2.1%
H 1
 
2.1%
L 1
 
2.1%
Other values (3) 3
 
6.4%
Decimal Number
ValueCountFrequency (%)
1 335
57.8%
2 91
 
15.7%
3 41
 
7.1%
4 25
 
4.3%
0 19
 
3.3%
6 18
 
3.1%
7 18
 
3.1%
5 16
 
2.8%
8 10
 
1.7%
9 7
 
1.2%
Other Punctuation
ValueCountFrequency (%)
, 33
91.7%
. 2
 
5.6%
/ 1
 
2.8%
Math Symbol
ValueCountFrequency (%)
~ 2
66.7%
+ 1
33.3%
Space Separator
ValueCountFrequency (%)
1112
100.0%
Close Punctuation
ValueCountFrequency (%)
) 130
100.0%
Open Punctuation
ValueCountFrequency (%)
( 127
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5521
72.9%
Common 2002
 
26.4%
Latin 47
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
층 339
 
6.1%
구 218
 
3.9%
지 182
 
3.3%
터 158
 
2.9%
센 131
 
2.4%
민 121
 
2.2%
관 119
 
2.2%
입 116
 
2.1%
장 111
 
2.0%
실 109
 
2.0%
Other values (327) 3917
70.9%
Common
ValueCountFrequency (%)
1112
55.5%
1 335
 
16.7%
) 130
 
6.5%
( 127
 
6.3%
2 91
 
4.5%
3 41
 
2.0%
, 33
 
1.6%
4 25
 
1.2%
0 19
 
0.9%
6 18
 
0.9%
Other values (9) 71
 
3.5%
Latin
ValueCountFrequency (%)
B 24
51.1%
E 4
 
8.5%
M 4
 
8.5%
V 3
 
6.4%
T 2
 
4.3%
A 2
 
4.3%
D 2
 
4.3%
C 1
 
2.1%
H 1
 
2.1%
L 1
 
2.1%
Other values (3) 3
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5521
72.9%
ASCII 2049
 
27.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1112
54.3%
1 335
 
16.3%
) 130
 
6.3%
( 127
 
6.2%
2 91
 
4.4%
3 41
 
2.0%
, 33
 
1.6%
4 25
 
1.2%
B 24
 
1.2%
0 19
 
0.9%
Other values (22) 112
 
5.5%
Hangul
ValueCountFrequency (%)
층 339
 
6.1%
구 218
 
3.9%
지 182
 
3.3%
터 158
 
2.9%
센 131
 
2.4%
민 121
 
2.2%
관 119
 
2.2%
입 116
 
2.1%
장 111
 
2.0%
실 109
 
2.0%
Other values (327) 3917
70.9%

평일운영시작시각
Categorical

IMBALANCE 

Distinct18
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
09:00
394 
05:00
72 
00:00
 
37
06:00
 
36
05:30
 
11
Other values (13)
 
36

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique6 ?
Unique (%)1.0%

Sample

1st row05:00
2nd row05:00
3rd row05:00
4th row05:00
5th row05:00

Common Values

ValueCountFrequency (%)
09:00 394
67.2%
05:00 72
 
12.3%
00:00 37
 
6.3%
06:00 36
 
6.1%
05:30 11
 
1.9%
10:00 9
 
1.5%
06:30 8
 
1.4%
08:00 4
 
0.7%
23:59 3
 
0.5%
05:16 2
 
0.3%
Other values (8) 10
 
1.7%

Length

2024-05-11T02:44:56.712005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
09:00 394
67.2%
05:00 72
 
12.3%
00:00 37
 
6.3%
06:00 36
 
6.1%
05:30 11
 
1.9%
10:00 9
 
1.5%
06:30 8
 
1.4%
08:00 4
 
0.7%
23:59 3
 
0.5%
04:30 2
 
0.3%
Other values (8) 10
 
1.7%

평일운영종료시각
Categorical

IMBALANCE 

Distinct21
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
18:00
359 
23:59
72 
23:00
51 
22:00
 
19
17:00
 
17
Other values (16)
68 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique5 ?
Unique (%)0.9%

Sample

1st row23:59
2nd row23:59
3rd row23:59
4th row23:59
5th row23:59

Common Values

ValueCountFrequency (%)
18:00 359
61.3%
23:59 72
 
12.3%
23:00 51
 
8.7%
22:00 19
 
3.2%
17:00 17
 
2.9%
00:00 15
 
2.6%
23:30 13
 
2.2%
20:00 10
 
1.7%
19:00 7
 
1.2%
17:30 5
 
0.9%
Other values (11) 18
 
3.1%

Length

2024-05-11T02:44:57.399573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
18:00 359
61.3%
23:59 72
 
12.3%
23:00 51
 
8.7%
22:00 19
 
3.2%
17:00 17
 
2.9%
00:00 15
 
2.6%
23:30 13
 
2.2%
20:00 10
 
1.7%
19:00 7
 
1.2%
17:30 5
 
0.9%
Other values (11) 18
 
3.1%

토요일운영시작시각
Categorical

IMBALANCE 

Distinct18
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
00:00
356 
09:00
84 
05:00
72 
06:00
 
32
05:30
 
11
Other values (13)
 
31

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique7 ?
Unique (%)1.2%

Sample

1st row05:00
2nd row05:00
3rd row05:00
4th row05:00
5th row05:00

Common Values

ValueCountFrequency (%)
00:00 356
60.8%
09:00 84
 
14.3%
05:00 72
 
12.3%
06:00 32
 
5.5%
05:30 11
 
1.9%
06:30 8
 
1.4%
10:00 8
 
1.4%
08:00 2
 
0.3%
04:30 2
 
0.3%
23:59 2
 
0.3%
Other values (8) 9
 
1.5%

Length

2024-05-11T02:44:57.739831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
00:00 356
60.8%
09:00 84
 
14.3%
05:00 72
 
12.3%
06:00 32
 
5.5%
05:30 11
 
1.9%
06:30 8
 
1.4%
10:00 8
 
1.4%
05:16 2
 
0.3%
23:59 2
 
0.3%
04:30 2
 
0.3%
Other values (8) 9
 
1.5%

토요일운영종료시각
Categorical

Distinct20
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
00:00
336 
23:59
85 
18:00
53 
23:00
47 
23:30
 
13
Other values (15)
52 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique5 ?
Unique (%)0.9%

Sample

1st row23:59
2nd row23:59
3rd row23:59
4th row23:59
5th row23:59

Common Values

ValueCountFrequency (%)
00:00 336
57.3%
23:59 85
 
14.5%
18:00 53
 
9.0%
23:00 47
 
8.0%
23:30 13
 
2.2%
20:00 10
 
1.7%
17:00 10
 
1.7%
22:00 8
 
1.4%
15:00 4
 
0.7%
19:00 4
 
0.7%
Other values (10) 16
 
2.7%

Length

2024-05-11T02:44:58.035634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
00:00 336
57.3%
23:59 85
 
14.5%
18:00 53
 
9.0%
23:00 47
 
8.0%
23:30 13
 
2.2%
20:00 10
 
1.7%
17:00 10
 
1.7%
22:00 8
 
1.4%
15:00 4
 
0.7%
19:00 4
 
0.7%
Other values (10) 16
 
2.7%

공휴일운영시작시각
Categorical

IMBALANCE 

Distinct18
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
00:00
399 
05:00
72 
09:00
51 
06:00
 
24
05:30
 
11
Other values (13)
 
29

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique7 ?
Unique (%)1.2%

Sample

1st row05:00
2nd row05:00
3rd row05:00
4th row05:00
5th row05:00

Common Values

ValueCountFrequency (%)
00:00 399
68.1%
05:00 72
 
12.3%
09:00 51
 
8.7%
06:00 24
 
4.1%
05:30 11
 
1.9%
06:30 8
 
1.4%
10:00 6
 
1.0%
05:16 2
 
0.3%
23:59 2
 
0.3%
04:30 2
 
0.3%
Other values (8) 9
 
1.5%

Length

2024-05-11T02:44:58.405410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
00:00 399
68.1%
05:00 72
 
12.3%
09:00 51
 
8.7%
06:00 24
 
4.1%
05:30 11
 
1.9%
06:30 8
 
1.4%
10:00 6
 
1.0%
08:00 2
 
0.3%
04:30 2
 
0.3%
23:59 2
 
0.3%
Other values (8) 9
 
1.5%

공휴일운영종료시각
Categorical

IMBALANCE 

Distinct16
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
00:00
359 
23:59
90 
23:00
47 
18:00
46 
23:30
 
13
Other values (11)
 
31

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique5 ?
Unique (%)0.9%

Sample

1st row23:59
2nd row23:59
3rd row23:59
4th row23:59
5th row23:59

Common Values

ValueCountFrequency (%)
00:00 359
61.3%
23:59 90
 
15.4%
23:00 47
 
8.0%
18:00 46
 
7.8%
23:30 13
 
2.2%
20:00 8
 
1.4%
17:00 6
 
1.0%
22:00 5
 
0.9%
00:19 3
 
0.5%
00:20 2
 
0.3%
Other values (6) 7
 
1.2%

Length

2024-05-11T02:44:58.950044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
00:00 359
61.3%
23:59 90
 
15.4%
23:00 47
 
8.0%
18:00 46
 
7.8%
23:30 13
 
2.2%
20:00 8
 
1.4%
17:00 6
 
1.0%
22:00 5
 
0.9%
00:19 3
 
0.5%
00:20 2
 
0.3%
Other values (6) 7
 
1.2%

동시사용가능대수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2
536 
1
 
50

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 536
91.5%
1 50
 
8.5%

Length

2024-05-11T02:44:59.342263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:44:59.655183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 536
91.5%
1 50
 
8.5%

공기주입가능여부
Boolean

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size718.0 B
False
319 
True
267 
ValueCountFrequency (%)
False 319
54.4%
True 267
45.6%
2024-05-11T02:44:59.923349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

휴대전화충전가능여부
Boolean

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size718.0 B
True
378 
False
208 
ValueCountFrequency (%)
True 378
64.5%
False 208
35.5%
2024-05-11T02:45:00.255046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

관리기관명
Text

Distinct296
Distinct (%)50.5%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2024-05-11T02:45:00.897030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length10.610922
Min length3

Characters and Unicode

Total characters6218
Distinct characters239
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

Unique268 ?
Unique (%)45.7%

Sample

1st row서울특별시 중랑구청
2nd row서울특별시 중랑구청
3rd row서울특별시 중랑구청
4th row서울특별시 중랑구청
5th row서울특별시 중랑구청
ValueCountFrequency (%)
서울특별시 358
32.4%
광진구 37
 
3.3%
중랑구청 33
 
3.0%
송파구 31
 
2.8%
관악구 27
 
2.4%
사회복지과 22
 
2.0%
서초구 22
 
2.0%
강동구청 22
 
2.0%
강북구청 21
 
1.9%
노원구 19
 
1.7%
Other values (312) 514
46.5%
2024-05-11T02:45:02.288945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
520
 
8.4%
서 433
 
7.0%
구 406
 
6.5%
울 378
 
6.1%
시 368
 
5.9%
별 362
 
5.8%
특 361
 
5.8%
청 155
 
2.5%
동 152
 
2.4%
지 130
 
2.1%
Other values (229) 2953
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5588
89.9%
Space Separator 520
 
8.4%
Decimal Number 71
 
1.1%
Close Punctuation 16
 
0.3%
Open Punctuation 16
 
0.3%
Uppercase Letter 3
 
< 0.1%
Other Punctuation 2
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 433
 
7.7%
구 406
 
7.3%
울 378
 
6.8%
시 368
 
6.6%
별 362
 
6.5%
특 361
 
6.5%
청 155
 
2.8%
동 152
 
2.7%
지 130
 
2.3%
터 124
 
2.2%
Other values (213) 2719
48.7%
Decimal Number
ValueCountFrequency (%)
1 24
33.8%
2 18
25.4%
3 9
 
12.7%
4 7
 
9.9%
6 4
 
5.6%
5 4
 
5.6%
7 3
 
4.2%
0 1
 
1.4%
9 1
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
D 2
66.7%
P 1
33.3%
Space Separator
ValueCountFrequency (%)
520
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5588
89.9%
Common 627
 
10.1%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 433
 
7.7%
구 406
 
7.3%
울 378
 
6.8%
시 368
 
6.6%
별 362
 
6.5%
특 361
 
6.5%
청 155
 
2.8%
동 152
 
2.7%
지 130
 
2.3%
터 124
 
2.2%
Other values (213) 2719
48.7%
Common
ValueCountFrequency (%)
520
82.9%
1 24
 
3.8%
2 18
 
2.9%
) 16
 
2.6%
( 16
 
2.6%
3 9
 
1.4%
4 7
 
1.1%
6 4
 
0.6%
5 4
 
0.6%
7 3
 
0.5%
Other values (4) 6
 
1.0%
Latin
ValueCountFrequency (%)
D 2
66.7%
P 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5588
89.9%
ASCII 630
 
10.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
520
82.5%
1 24
 
3.8%
2 18
 
2.9%
) 16
 
2.5%
( 16
 
2.5%
3 9
 
1.4%
4 7
 
1.1%
6 4
 
0.6%
5 4
 
0.6%
7 3
 
0.5%
Other values (6) 9
 
1.4%
Hangul
ValueCountFrequency (%)
서 433
 
7.7%
구 406
 
7.3%
울 378
 
6.8%
시 368
 
6.6%
별 362
 
6.5%
특 361
 
6.5%
청 155
 
2.8%
동 152
 
2.7%
지 130
 
2.3%
터 124
 
2.2%
Other values (213) 2719
48.7%

관리기관전화번호
Text

Distinct334
Distinct (%)57.0%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2024-05-11T02:45:03.073606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.65529
Min length3

Characters and Unicode

Total characters6830
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

Unique305 ?
Unique (%)52.0%

Sample

1st row02-2094-2483
2nd row02-2094-2483
3rd row02-2094-2483
4th row02-2094-2483
5th row02-2094-2483
ValueCountFrequency (%)
02-450-7533 37
 
6.3%
02-2094-2483 33
 
5.6%
02-2147-5000 31
 
5.3%
02-2155-6652 22
 
3.8%
02-901-6677 21
 
3.6%
02-2199-7103 17
 
2.9%
02-2286-5430 17
 
2.9%
02-2127-4468 17
 
2.9%
02-860-2374 13
 
2.2%
02-2148-2564 12
 
2.0%
Other values (324) 366
62.5%
2024-05-11T02:45:04.143448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1250
18.3%
- 1169
17.1%
0 1162
17.0%
1 511
7.5%
3 479
 
7.0%
6 447
 
6.5%
4 434
 
6.4%
5 432
 
6.3%
7 376
 
5.5%
9 297
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5661
82.9%
Dash Punctuation 1169
 
17.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1250
22.1%
0 1162
20.5%
1 511
9.0%
3 479
 
8.5%
6 447
 
7.9%
4 434
 
7.7%
5 432
 
7.6%
7 376
 
6.6%
9 297
 
5.2%
8 273
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 1169
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6830
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1250
18.3%
- 1169
17.1%
0 1162
17.0%
1 511
7.5%
3 479
 
7.0%
6 447
 
6.5%
4 434
 
6.4%
5 432
 
6.3%
7 376
 
5.5%
9 297
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6830
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1250
18.3%
- 1169
17.1%
0 1162
17.0%
1 511
7.5%
3 479
 
7.0%
6 447
 
6.5%
4 434
 
6.4%
5 432
 
6.3%
7 376
 
5.5%
9 297
 
4.3%

데이터기준일자
Categorical

Distinct21
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2023-08-21
59 
2024-04-04
55 
2023-07-14
53 
2023-12-06
52 
2023-11-27
37 
Other values (16)
330 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-11-30
2nd row2023-11-30
3rd row2023-11-30
4th row2023-11-30
5th row2023-11-30

Common Values

ValueCountFrequency (%)
2023-08-21 59
 
10.1%
2024-04-04 55
 
9.4%
2023-07-14 53
 
9.0%
2023-12-06 52
 
8.9%
2023-11-27 37
 
6.3%
2023-11-28 34
 
5.8%
2023-11-30 33
 
5.6%
2024-02-20 31
 
5.3%
2021-08-13 26
 
4.4%
2024-03-12 23
 
3.9%
Other values (11) 183
31.2%

Length

2024-05-11T02:45:04.569406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023-08-21 59
 
10.1%
2024-04-04 55
 
9.4%
2023-07-14 53
 
9.0%
2023-12-06 52
 
8.9%
2023-11-27 37
 
6.3%
2023-11-28 34
 
5.8%
2023-11-30 33
 
5.6%
2024-02-20 31
 
5.3%
2021-08-13 26
 
4.4%
2024-03-12 23
 
3.9%
Other values (11) 183
31.2%

제공기관코드
Real number (ℝ)

Distinct24
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3123020.5
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-05-11T02:45:05.173387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3020000
Q13060000
median3110000
Q33180000
95-th percentile3230000
Maximum3240000
Range240000
Interquartile range (IQR)120000

Descriptive statistics

Standard deviation69118.426
Coefficient of variation (CV)0.022131916
Kurtosis-1.1442855
Mean3123020.5
Median Absolute Deviation (MAD)60000
Skewness0.078418784
Sum1.83009 × 109
Variance4.7773568 × 109
MonotonicityNot monotonic
2024-05-11T02:45:05.826004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
3100000 59
 
10.1%
3150000 37
 
6.3%
3040000 37
 
6.3%
3120000 36
 
6.1%
3200000 34
 
5.8%
3180000 34
 
5.8%
3060000 33
 
5.6%
3230000 31
 
5.3%
3090000 26
 
4.4%
3220000 23
 
3.9%
Other values (14) 236
40.3%
ValueCountFrequency (%)
3000000 12
 
2.0%
3010000 15
2.6%
3020000 18
3.1%
3030000 17
2.9%
3040000 37
6.3%
3050000 17
2.9%
3060000 33
5.6%
3070000 18
3.1%
3080000 21
3.6%
3090000 26
4.4%
ValueCountFrequency (%)
3240000 22
3.8%
3230000 31
5.3%
3220000 23
3.9%
3210000 22
3.8%
3200000 34
5.8%
3190000 2
 
0.3%
3180000 34
5.8%
3170000 19
3.2%
3160000 15
2.6%
3150000 37
6.3%

작업일시
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2024-05-11 11:33:30.0
443 
2024-05-11 11:33:31.0
143 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-05-11 11:33:30.0
2nd row2024-05-11 11:33:30.0
3rd row2024-05-11 11:33:30.0
4th row2024-05-11 11:33:30.0
5th row2024-05-11 11:33:30.0

Common Values

ValueCountFrequency (%)
2024-05-11 11:33:30.0 443
75.6%
2024-05-11 11:33:31.0 143
 
24.4%

Length

2024-05-11T02:45:06.235868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:45:06.583856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-05-11 586
50.0%
11:33:30.0 443
37.8%
11:33:31.0 143
 
12.2%

Sample

시설명시도명시군구명시군구코드소재지도로명주소소재지지번주소위도경도설치장소설명평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각동시사용가능대수공기주입가능여부휴대전화충전가능여부관리기관명관리기관전화번호데이터기준일자제공기관코드작업일시
0봉화산역서울특별시중랑구11260서울특별시 중랑구 신내로 232서울특별시 중랑구 신내동 643-137.617654127.090758봉화산역(지하1층 임대상가(봉화청과) 좌측)05:0023:5905:0023:5905:0023:592YN서울특별시 중랑구청02-2094-24832023-11-3030600002024-05-11 11:33:30.0
1사가정역서울특별시중랑구11260서울특별시 중랑구 사가정로 393서울특별시 중랑구 면목동 49537.580795127.088439사가정역(개찰구 안쪽)05:0023:5905:0023:5905:0023:592NN서울특별시 중랑구청02-2094-24832023-11-3030600002024-05-11 11:33:30.0
2상봉역서울특별시중랑구11260서울특별시 중랑구 망우로 297서울특별시 중랑구 상봉동 100-4637.596714127.085437상봉역(7번출구 개찰구 앞쪽)05:0023:5905:0023:5905:0023:592NN서울특별시 중랑구청02-2094-24832023-11-3030600002024-05-11 11:33:30.0
3신내역서울특별시중랑구11260서울특별시 중랑구 신내역로 20서울특별시 중랑구 망우동 320-237.612791127.103222신내역(2층 화장실 옆)05:0023:5905:0023:5905:0023:592YN서울특별시 중랑구청02-2094-24832023-11-3030600002024-05-11 11:33:30.0
4양원역서울특별시중랑구11260서울특별시 중랑구 송림길 147서울특별시 중랑구 망우동 269-537.606554127.107922양원역(1번출구 나가는 방향 가운데)05:0023:5905:0023:5905:0023:592YN서울특별시 중랑구청02-2094-24832023-11-3030600002024-05-11 11:33:30.0
5용마산역서울특별시중랑구11260서울특별시 중랑구 용마산로 227서울특별시 중랑구 면목동 1316-537.57403127.087038용마산역(지하1층 화장실 출입문 앞 반대편 유휴공간)05:0023:5905:0023:5905:0023:592YN서울특별시 중랑구청02-2094-24832023-11-3030600002024-05-11 11:33:30.0
6수락산역(7호선)서울특별시노원구11350서울특별시 노원구 동일로 지하1662서울특별시 노원구 상계동 1132-937.677626127.055348수락산역 7호선 역사 내05:0023:0005:0020:0005:0020:002YN수락산역02-6311-71112023-08-2131000002024-05-11 11:33:30.0
7노원역(4호선)서울특별시노원구11350서울특별시 노원구 상계로 69-1(지하)서울특별시 노원구 상계동 602-537.656251127.06303노원역 4호선 지상1층 대합실 고객서비스센터 맞은편05:0023:0005:0020:0005:0020:002YN노원역02-952-90002023-08-2131000002024-05-11 11:33:30.0
8노원노인종합복지관서울특별시노원구11350서울특별시 노원구 노원로16길 15서울특별시 노원구 하계동 25637.643445127.073337중계주공9단지 상가 옆09:0018:0009:0013:0000:0000:002YN노원노인종합복지관02-2092-17252023-08-2131000002024-05-11 11:33:30.0
9늘편한집서울특별시노원구11350서울특별시 노원구 중계로 163서울특별시 노원구 중계동 308-337.649839127.080706노원문화예술회관 옆09:0018:0000:0000:0000:0000:002YN늘편한집02-933-52282023-08-2131000002024-05-11 11:33:30.0
시설명시도명시군구명시군구코드소재지도로명주소소재지지번주소위도경도설치장소설명평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각동시사용가능대수공기주입가능여부휴대전화충전가능여부관리기관명관리기관전화번호데이터기준일자제공기관코드작업일시
576숙대입구역서울특별시용산구11170서울특별시 용산구 한강대로 306<NA>37.545496126.972239지하1층 5번 출입구쪽06:0023:3006:0023:3006:0023:302NY서울특별시 용산구청02-2199-71032023-06-2030200002024-05-11 11:33:31.0
577한벗장애인주간보호시설서울특별시용산구11170서울특별시 용산구 효창원로69길 24-3<NA>37.542792126.95795건물 외부 전동보장구 주차장09:0018:0000:0000:0000:0000:002YY서울특별시 용산구청02-2199-71032023-06-2030200002024-05-11 11:33:31.0
578용산행복장애인자립생활센터서울특별시용산구11170서울특별시 용산구 청파로47길 66<NA>37.545068126.966773층 시설 내09:0018:0000:0000:0000:0000:002YY서울특별시 용산구청02-2199-71032023-06-2030200002024-05-11 11:33:31.0
579이태원2동 주민센터서울특별시용산구11170서울특별시 용산구 회나무로13길 58<NA>37.54192126.9901961층09:0018:0000:0000:0000:0000:002NY서울특별시 용산구청02-2199-71032023-06-2030200002024-05-11 11:33:31.0
580한강진역서울특별시용산구11170서울특별시 용산구 이태원로 지하 287<NA>37.540256127.001748지하 1층 대합실06:0023:3006:0023:3006:0023:302NY서울특별시 용산구청02-2199-71032023-06-2030200002024-05-11 11:33:31.0
581동대문구청서울특별시동대문구11230서울특별시 동대문구 천호대로 145서울특별시 동대문구 용두동 39-937.574392127.039897동대문구청 1층 민원실 국민은행 옆09:0018:0000:0000:0000:0000:002NY서울특별시 동대문구청02-2127-44682024-01-2930500002024-05-11 11:33:31.0
582동문장애인복지관서울특별시동대문구11230서울특별시 동대문구 장안벚꽃로7길 5(휘경동)서울특별시 동대문구 휘경동 49-3937.583152127.073193동문장애인복지관(1층 현관)09:0018:0000:0000:0000:0000:002NY서울특별시 동대문구청02-2127-44682024-01-2930500002024-05-11 11:33:31.0
583신세계중랑장애인자립생활센터서울특별시중랑구11260서울특별시 중랑구 망우로 316서울특별시 중랑구 상봉동 10137.596522127.08752신세계중랑장애인자립생활센터(센터 사무실 입구 복도 끝)09:0018:0000:0000:0000:0000:002YN서울특별시 중랑구청02-2094-24832023-11-3030600002024-05-11 11:33:31.0
584서울특별시 북부병원서울특별시중랑구11260서울특별시 중랑구 양원역로 38서울특별시 중랑구 망우동 22737.604395127.107646서울특별시 북부병원(1층 정문 출입구 왼쪽 편)00:0023:5900:0023:5900:0023:592YN서울특별시 중랑구청02-2094-24832023-11-3030600002024-05-11 11:33:31.0
585LH서울양원1단지서울특별시중랑구11260서울특별시 중랑구 양원역로 92서울특별시 중랑구 망우동 60837.608434127.106262LH서울양원1단지(부대복리시설 B1층 청소년커뮤니티실 앞)09:0018:0000:0000:0000:0000:002YN서울특별시 중랑구청02-2094-24832023-11-3030600002024-05-11 11:33:31.0