Overview

Dataset statistics

Number of variables21
Number of observations1441
Missing cells1856
Missing cells (%)6.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory242.2 KiB
Average record size in memory172.1 B

Variable types

Text9
Categorical5
Numeric4
Boolean2
DateTime1

Dataset

Description공공데이터 제공 표준데이터 속성정보(허용값, 표현형식/단위 등)는 [공공데이터 제공 표준] 전문을 참고하시기 바랍니다.(공공데이터포털>정보공유>자료실) 각 기관에서 등록한 표준데이터를 취합하여 제공하기 때문에 갱신주기는 개별 파일마다 다릅니다.(기관에서 등록한 데이터를 취합한 것으로 개별 파일별 갱신시점이 다름)
Author지방자치단체
URLhttps://www.data.go.kr/data/15017319/standard.do

Alerts

자전거대여소구분 is highly imbalanced (58.5%)Imbalance
운영종료시각 is highly imbalanced (68.1%)Imbalance
요금구분 is highly imbalanced (59.3%)Imbalance
공기주입기유형 is highly imbalanced (50.0%)Imbalance
수리대설치여부 is highly imbalanced (86.2%)Imbalance
소재지도로명주소 has 931 (64.6%) missing valuesMissing
소재지지번주소 has 101 (7.0%) missing valuesMissing
자전거이용요금 has 98 (6.8%) missing valuesMissing
거치대수 has 726 (50.4%) missing valuesMissing
거치대수 has 26 (1.8%) zerosZeros

Reproduction

Analysis started2024-05-11 10:04:24.914360
Analysis finished2024-05-11 10:04:27.116199
Duration2.2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자전거대여소명
Text

Distinct1391
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
2024-05-11T10:04:27.424404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length24
Mean length11.392089
Min length3

Characters and Unicode

Total characters16416
Distinct characters485
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1359 ?
Unique (%)94.3%

Sample

1st row대평동_해들205동
2nd row보람동_해들510동
3rd row보람동_호려울308동
4th row소담동_새샘201동
5th row종촌동_가재301동
ValueCountFrequency (%)
앞 113
 
4.7%
옆 31
 
1.3%
건너편 28
 
1.2%
행정복지센터 25
 
1.0%
공영자전거 23
 
1.0%
입구 23
 
1.0%
군산시 20
 
0.8%
무인대여소 20
 
0.8%
버스정류장 19
 
0.8%
정문 19
 
0.8%
Other values (1723) 2083
86.6%
2024-05-11T10:04:28.476947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 1127
 
6.9%
965
 
5.9%
_ 648
 
3.9%
1 446
 
2.7%
앞 303
 
1.8%
0 291
 
1.8%
대 259
 
1.6%
정 226
 
1.4%
3 222
 
1.4%
소 208
 
1.3%
Other values (475) 11721
71.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12368
75.3%
Decimal Number 1644
 
10.0%
Space Separator 965
 
5.9%
Connector Punctuation 648
 
3.9%
Uppercase Letter 289
 
1.8%
Close Punctuation 197
 
1.2%
Open Punctuation 195
 
1.2%
Other Punctuation 92
 
0.6%
Dash Punctuation 8
 
< 0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1127
 
9.1%
앞 303
 
2.4%
대 259
 
2.1%
정 226
 
1.8%
소 208
 
1.7%
원 185
 
1.5%
지 181
 
1.5%
거 177
 
1.4%
전 164
 
1.3%
공 163
 
1.3%
Other values (435) 9375
75.8%
Uppercase Letter
ValueCountFrequency (%)
B 85
29.4%
T 83
28.7%
R 80
27.7%
L 7
 
2.4%
H 6
 
2.1%
G 5
 
1.7%
K 5
 
1.7%
S 5
 
1.7%
C 3
 
1.0%
V 2
 
0.7%
Other values (6) 8
 
2.8%
Decimal Number
ValueCountFrequency (%)
1 446
27.1%
0 291
17.7%
3 222
13.5%
2 207
12.6%
4 118
 
7.2%
6 93
 
5.7%
8 77
 
4.7%
5 76
 
4.6%
9 58
 
3.5%
7 56
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 86
93.5%
, 5
 
5.4%
& 1
 
1.1%
Lowercase Letter
ValueCountFrequency (%)
e 3
60.0%
h 1
 
20.0%
t 1
 
20.0%
Close Punctuation
ValueCountFrequency (%)
) 196
99.5%
] 1
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 194
99.5%
[ 1
 
0.5%
Space Separator
ValueCountFrequency (%)
965
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 648
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12368
75.3%
Common 3754
 
22.9%
Latin 294
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1127
 
9.1%
앞 303
 
2.4%
대 259
 
2.1%
정 226
 
1.8%
소 208
 
1.7%
원 185
 
1.5%
지 181
 
1.5%
거 177
 
1.4%
전 164
 
1.3%
공 163
 
1.3%
Other values (435) 9375
75.8%
Common
ValueCountFrequency (%)
965
25.7%
_ 648
17.3%
1 446
11.9%
0 291
 
7.8%
3 222
 
5.9%
2 207
 
5.5%
) 196
 
5.2%
( 194
 
5.2%
4 118
 
3.1%
6 93
 
2.5%
Other values (11) 374
 
10.0%
Latin
ValueCountFrequency (%)
B 85
28.9%
T 83
28.2%
R 80
27.2%
L 7
 
2.4%
H 6
 
2.0%
G 5
 
1.7%
K 5
 
1.7%
S 5
 
1.7%
C 3
 
1.0%
e 3
 
1.0%
Other values (9) 12
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12368
75.3%
ASCII 4048
 
24.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 1127
 
9.1%
앞 303
 
2.4%
대 259
 
2.1%
정 226
 
1.8%
소 208
 
1.7%
원 185
 
1.5%
지 181
 
1.5%
거 177
 
1.4%
전 164
 
1.3%
공 163
 
1.3%
Other values (435) 9375
75.8%
ASCII
ValueCountFrequency (%)
965
23.8%
_ 648
16.0%
1 446
11.0%
0 291
 
7.2%
3 222
 
5.5%
2 207
 
5.1%
) 196
 
4.8%
( 194
 
4.8%
4 118
 
2.9%
6 93
 
2.3%
Other values (30) 668
16.5%

자전거대여소구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
무인대여소
1215 
유인대여소
219 
무인·유인대여소
 
7

Length

Max length8
Median length5
Mean length5.0145732
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무인대여소 1215
84.3%
유인대여소 219
 
15.2%
무인·유인대여소 7
 
0.5%

Length

2024-05-11T10:04:29.049095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:04:29.580611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무인대여소 1215
84.3%
유인대여소 219
 
15.2%
무인·유인대여소 7
 
0.5%

소재지도로명주소
Text

MISSING 

Distinct471
Distinct (%)92.4%
Missing931
Missing (%)64.6%
Memory size11.4 KiB
2024-05-11T10:04:30.388431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34
Mean length21.762745
Min length13

Characters and Unicode

Total characters11099
Distinct characters315
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

Unique440 ?
Unique (%)86.3%

Sample

1st row경상북도 구미시 3공단1로 191, 11동
2nd row경상북도 구미시 3공단1로 191, 11동
3rd row부산광역시 동래구 온천동 527
4th row광주광역시 서구 월드컵4강로197번길 20
5th row광주광역시 서구 화정로85번길 17
ValueCountFrequency (%)
대전광역시 181
 
8.1%
서울특별시 75
 
3.3%
서구 64
 
2.9%
성북구 62
 
2.8%
유성구 52
 
2.3%
중구 39
 
1.7%
경상남도 37
 
1.6%
광주광역시 36
 
1.6%
동구 33
 
1.5%
전라남도 31
 
1.4%
Other values (907) 1635
72.8%
2024-05-11T10:04:31.469736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1735
 
15.6%
시 476
 
4.3%
로 436
 
3.9%
1 358
 
3.2%
구 342
 
3.1%
대 322
 
2.9%
동 290
 
2.6%
광 284
 
2.6%
전 259
 
2.3%
, 252
 
2.3%
Other values (305) 6345
57.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7037
63.4%
Space Separator 1735
 
15.6%
Decimal Number 1612
 
14.5%
Other Punctuation 252
 
2.3%
Open Punctuation 197
 
1.8%
Close Punctuation 197
 
1.8%
Dash Punctuation 65
 
0.6%
Uppercase Letter 3
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 476
 
6.8%
로 436
 
6.2%
구 342
 
4.9%
대 322
 
4.6%
동 290
 
4.1%
광 284
 
4.0%
전 259
 
3.7%
도 244
 
3.5%
역 236
 
3.4%
성 163
 
2.3%
Other values (286) 3985
56.6%
Decimal Number
ValueCountFrequency (%)
1 358
22.2%
2 239
14.8%
3 164
10.2%
4 151
9.4%
7 146
9.1%
6 116
 
7.2%
5 113
 
7.0%
9 111
 
6.9%
0 110
 
6.8%
8 104
 
6.5%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
E 1
33.3%
K 1
33.3%
Space Separator
ValueCountFrequency (%)
1735
100.0%
Other Punctuation
ValueCountFrequency (%)
, 252
100.0%
Open Punctuation
ValueCountFrequency (%)
( 197
100.0%
Close Punctuation
ValueCountFrequency (%)
) 197
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 65
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7037
63.4%
Common 4058
36.6%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 476
 
6.8%
로 436
 
6.2%
구 342
 
4.9%
대 322
 
4.6%
동 290
 
4.1%
광 284
 
4.0%
전 259
 
3.7%
도 244
 
3.5%
역 236
 
3.4%
성 163
 
2.3%
Other values (286) 3985
56.6%
Common
ValueCountFrequency (%)
1735
42.8%
1 358
 
8.8%
, 252
 
6.2%
2 239
 
5.9%
( 197
 
4.9%
) 197
 
4.9%
3 164
 
4.0%
4 151
 
3.7%
7 146
 
3.6%
6 116
 
2.9%
Other values (5) 503
 
12.4%
Latin
ValueCountFrequency (%)
S 1
25.0%
E 1
25.0%
K 1
25.0%
e 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7037
63.4%
ASCII 4062
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1735
42.7%
1 358
 
8.8%
, 252
 
6.2%
2 239
 
5.9%
( 197
 
4.8%
) 197
 
4.8%
3 164
 
4.0%
4 151
 
3.7%
7 146
 
3.6%
6 116
 
2.9%
Other values (9) 507
 
12.5%
Hangul
ValueCountFrequency (%)
시 476
 
6.8%
로 436
 
6.2%
구 342
 
4.9%
대 322
 
4.6%
동 290
 
4.1%
광 284
 
4.0%
전 259
 
3.7%
도 244
 
3.5%
역 236
 
3.4%
성 163
 
2.3%
Other values (286) 3985
56.6%

소재지지번주소
Text

MISSING 

Distinct1197
Distinct (%)89.3%
Missing101
Missing (%)7.0%
Memory size11.4 KiB
2024-05-11T10:04:32.387995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length27
Mean length17.4
Min length11

Characters and Unicode

Total characters23316
Distinct characters232
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

Unique1106 ?
Unique (%)82.5%

Sample

1st row세종특별자치시 대평동 266-26
2nd row세종특별자치시 보람동 733
3rd row세종특별자치시 보람동 664-42
4th row세종특별자치시 소담동 32-14
5th row세종특별자치시 종촌동 680
ValueCountFrequency (%)
세종특별자치시 648
 
13.2%
대전광역시 262
 
5.4%
전라남도 108
 
2.2%
서구 94
 
1.9%
어진동 78
 
1.6%
유성구 76
 
1.6%
나성동 64
 
1.3%
순천시 54
 
1.1%
고운동 51
 
1.0%
다정동 48
 
1.0%
Other values (1585) 3414
69.7%
2024-05-11T10:04:33.990537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3559
 
15.3%
시 1297
 
5.6%
동 1268
 
5.4%
1 882
 
3.8%
별 716
 
3.1%
특 713
 
3.1%
종 705
 
3.0%
치 695
 
3.0%
자 677
 
2.9%
세 673
 
2.9%
Other values (222) 12131
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14218
61.0%
Decimal Number 4889
 
21.0%
Space Separator 3559
 
15.3%
Dash Punctuation 643
 
2.8%
Other Punctuation 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1297
 
9.1%
동 1268
 
8.9%
별 716
 
5.0%
특 713
 
5.0%
종 705
 
5.0%
치 695
 
4.9%
자 677
 
4.8%
세 673
 
4.7%
전 449
 
3.2%
도 416
 
2.9%
Other values (209) 6609
46.5%
Decimal Number
ValueCountFrequency (%)
1 882
18.0%
2 624
12.8%
3 554
11.3%
6 506
10.3%
5 479
9.8%
4 441
9.0%
7 422
8.6%
8 345
 
7.1%
0 334
 
6.8%
9 302
 
6.2%
Space Separator
ValueCountFrequency (%)
3559
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 643
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14218
61.0%
Common 9098
39.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1297
 
9.1%
동 1268
 
8.9%
별 716
 
5.0%
특 713
 
5.0%
종 705
 
5.0%
치 695
 
4.9%
자 677
 
4.8%
세 673
 
4.7%
전 449
 
3.2%
도 416
 
2.9%
Other values (209) 6609
46.5%
Common
ValueCountFrequency (%)
3559
39.1%
1 882
 
9.7%
- 643
 
7.1%
2 624
 
6.9%
3 554
 
6.1%
6 506
 
5.6%
5 479
 
5.3%
4 441
 
4.8%
7 422
 
4.6%
8 345
 
3.8%
Other values (3) 643
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14218
61.0%
ASCII 9098
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3559
39.1%
1 882
 
9.7%
- 643
 
7.1%
2 624
 
6.9%
3 554
 
6.1%
6 506
 
5.6%
5 479
 
5.3%
4 441
 
4.8%
7 422
 
4.6%
8 345
 
3.8%
Other values (3) 643
 
7.1%
Hangul
ValueCountFrequency (%)
시 1297
 
9.1%
동 1268
 
8.9%
별 716
 
5.0%
특 713
 
5.0%
종 705
 
5.0%
치 695
 
4.9%
자 677
 
4.8%
세 673
 
4.7%
전 449
 
3.2%
도 416
 
2.9%
Other values (209) 6609
46.5%

위도
Real number (ℝ)

Distinct1293
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.351154
Minimum33.475104
Maximum38.481382
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.8 KiB
2024-05-11T10:04:34.607094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.475104
5-th percentile34.935799
Q136.330181
median36.484572
Q336.510631
95-th percentile37.603467
Maximum38.481382
Range5.0062774
Interquartile range (IQR)0.18045061

Descriptive statistics

Standard deviation0.72383642
Coefficient of variation (CV)0.019912337
Kurtosis1.8575767
Mean36.351154
Median Absolute Deviation (MAD)0.11031306
Skewness-0.72785971
Sum52382.012
Variance0.52393917
MonotonicityNot monotonic
2024-05-11T10:04:35.299056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.48682368 13
 
0.9%
36.51114178 8
 
0.6%
36.51366991 6
 
0.4%
36.36817871 6
 
0.4%
36.4856388 6
 
0.4%
36.51165147 5
 
0.3%
37.8033265178 5
 
0.3%
36.51430543 5
 
0.3%
36.50315781 5
 
0.3%
36.51380382 5
 
0.3%
Other values (1283) 1377
95.6%
ValueCountFrequency (%)
33.4751044 1
0.1%
33.47779743 1
0.1%
33.47867251 1
0.1%
33.48439696 1
0.1%
33.4889361 1
0.1%
33.49105883 1
0.1%
33.49915844 1
0.1%
33.50016657 1
0.1%
33.51074642 1
0.1%
33.5137924 1
0.1%
ValueCountFrequency (%)
38.48138177 2
0.1%
38.33623615 2
0.1%
38.102197 2
0.1%
37.820894 1
 
0.1%
37.8044030123 2
0.1%
37.80440301 2
0.1%
37.804007342 3
0.2%
37.80400734 3
0.2%
37.8039066655 1
 
0.1%
37.80332652 1
 
0.1%

경도
Real number (ℝ)

Distinct1294
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.38216
Minimum126.13645
Maximum129.56606
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.8 KiB
2024-05-11T10:04:35.733079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.13645
5-th percentile126.83029
Q1127.24525
median127.27366
Q3127.39858
95-th percentile128.70651
Maximum129.56606
Range3.4296128
Interquartile range (IQR)0.1533331

Descriptive statistics

Standard deviation0.47518767
Coefficient of variation (CV)0.0037304099
Kurtosis5.4345356
Mean127.38216
Median Absolute Deviation (MAD)0.0836464
Skewness2.0978696
Sum183557.69
Variance0.22580332
MonotonicityNot monotonic
2024-05-11T10:04:36.299200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.2577791 13
 
0.9%
127.2296487 8
 
0.6%
127.2504673 6
 
0.4%
127.3571333 6
 
0.4%
127.2527453 6
 
0.4%
127.2606571 5
 
0.3%
128.9043357409 5
 
0.3%
127.2337567 5
 
0.3%
127.2586021 5
 
0.3%
127.2700764 4
 
0.3%
Other values (1284) 1378
95.6%
ValueCountFrequency (%)
126.1364460129 1
0.1%
126.3722285 1
0.1%
126.4101201 2
0.1%
126.415478 2
0.1%
126.44568645 1
0.1%
126.4767007 1
0.1%
126.4860417 1
0.1%
126.490582 1
0.1%
126.4908883 1
0.1%
126.5003713 1
0.1%
ValueCountFrequency (%)
129.5660588 1
0.1%
129.410608 1
0.1%
129.408562 1
0.1%
129.4010878 1
0.1%
129.3514428 1
0.1%
129.351424 1
0.1%
129.335982 1
0.1%
129.319324 1
0.1%
129.2990163351 1
0.1%
129.2958364 1
0.1%

운영시작시각
Categorical

Distinct14
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
00:00
742 
05:00
271 
09:00
168 
00:01
128 
10:00
 
52
Other values (9)
80 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique4 ?
Unique (%)0.3%

Sample

1st row00:00
2nd row00:00
3rd row00:00
4th row00:00
5th row00:00

Common Values

ValueCountFrequency (%)
00:00 742
51.5%
05:00 271
 
18.8%
09:00 168
 
11.7%
00:01 128
 
8.9%
10:00 52
 
3.6%
08:00 37
 
2.6%
07:00 21
 
1.5%
06:00 12
 
0.8%
09:30 4
 
0.3%
10:30 2
 
0.1%
Other values (4) 4
 
0.3%

Length

2024-05-11T10:04:36.828980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
00:00 742
51.5%
05:00 271
 
18.8%
09:00 168
 
11.7%
00:01 128
 
8.9%
10:00 52
 
3.6%
08:00 37
 
2.6%
07:00 21
 
1.5%
06:00 12
 
0.8%
09:30 4
 
0.3%
10:30 2
 
0.1%
Other values (4) 4
 
0.3%

운영종료시각
Categorical

IMBALANCE 

Distinct14
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
23:59
1140 
18:00
154 
20:00
 
57
17:00
 
29
21:00
 
16
Other values (9)
 
45

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique4 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
23:59 1140
79.1%
18:00 154
 
10.7%
20:00 57
 
4.0%
17:00 29
 
2.0%
21:00 16
 
1.1%
22:00 15
 
1.0%
19:00 12
 
0.8%
23:00 8
 
0.6%
16:00 3
 
0.2%
18:30 3
 
0.2%
Other values (4) 4
 
0.3%

Length

2024-05-11T10:04:37.343304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23:59 1140
79.1%
18:00 154
 
10.7%
20:00 57
 
4.0%
17:00 29
 
2.0%
21:00 16
 
1.1%
22:00 15
 
1.0%
19:00 12
 
0.8%
23:00 8
 
0.6%
16:00 3
 
0.2%
18:30 3
 
0.2%
Other values (4) 4
 
0.3%

휴무일
Text

Distinct65
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
2024-05-11T10:04:37.874341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length108
Median length4
Mean length7.9729355
Min length1

Characters and Unicode

Total characters11489
Distinct characters106
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)2.4%

Sample

1st row연중무휴
2nd row연중무휴
3rd row연중무휴
4th row연중무휴
5th row연중무휴
ValueCountFrequency (%)
연중무휴 962
36.2%
당일 266
 
10.0%
추석 262
 
9.9%
2일 262
 
9.9%
제외 262
 
9.9%
연중무휴(설 262
 
9.9%
주말+공휴일 26
 
1.0%
토+일+공휴일 19
 
0.7%
월+추석당일+1~2월 18
 
0.7%
토+일 15
 
0.6%
Other values (95) 302
 
11.4%
2024-05-11T10:04:38.911833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
휴 1370
11.9%
연 1263
11.0%
무 1261
11.0%
중 1229
 
10.7%
1215
 
10.6%
일 782
 
6.8%
2 314
 
2.7%
추 304
 
2.6%
석 304
 
2.6%
) 298
 
2.6%
Other values (96) 3149
27.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8606
74.9%
Space Separator 1215
 
10.6%
Decimal Number 472
 
4.1%
Math Symbol 318
 
2.8%
Close Punctuation 298
 
2.6%
Open Punctuation 298
 
2.6%
Other Punctuation 281
 
2.4%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
휴 1370
15.9%
연 1263
14.7%
무 1261
14.7%
중 1229
14.3%
일 782
9.1%
추 304
 
3.5%
석 304
 
3.5%
당 290
 
3.4%
설 287
 
3.3%
외 262
 
3.0%
Other values (76) 1254
14.6%
Decimal Number
ValueCountFrequency (%)
2 314
66.5%
1 90
 
19.1%
3 17
 
3.6%
0 14
 
3.0%
6 10
 
2.1%
4 10
 
2.1%
7 6
 
1.3%
9 5
 
1.1%
8 5
 
1.1%
5 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 265
94.3%
. 12
 
4.3%
/ 2
 
0.7%
: 2
 
0.7%
Math Symbol
ValueCountFrequency (%)
+ 272
85.5%
~ 46
 
14.5%
Space Separator
ValueCountFrequency (%)
1215
100.0%
Close Punctuation
ValueCountFrequency (%)
) 298
100.0%
Open Punctuation
ValueCountFrequency (%)
( 298
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8606
74.9%
Common 2883
 
25.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
휴 1370
15.9%
연 1263
14.7%
무 1261
14.7%
중 1229
14.3%
일 782
9.1%
추 304
 
3.5%
석 304
 
3.5%
당 290
 
3.4%
설 287
 
3.3%
외 262
 
3.0%
Other values (76) 1254
14.6%
Common
ValueCountFrequency (%)
1215
42.1%
2 314
 
10.9%
) 298
 
10.3%
( 298
 
10.3%
+ 272
 
9.4%
, 265
 
9.2%
1 90
 
3.1%
~ 46
 
1.6%
3 17
 
0.6%
0 14
 
0.5%
Other values (10) 54
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8593
74.8%
ASCII 2883
 
25.1%
Compat Jamo 13
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
휴 1370
15.9%
연 1263
14.7%
무 1261
14.7%
중 1229
14.3%
일 782
9.1%
추 304
 
3.5%
석 304
 
3.5%
당 290
 
3.4%
설 287
 
3.3%
외 262
 
3.0%
Other values (75) 1241
14.4%
ASCII
ValueCountFrequency (%)
1215
42.1%
2 314
 
10.9%
) 298
 
10.3%
( 298
 
10.3%
+ 272
 
9.4%
, 265
 
9.2%
1 90
 
3.1%
~ 46
 
1.6%
3 17
 
0.6%
0 14
 
0.5%
Other values (10) 54
 
1.9%
Compat Jamo
ValueCountFrequency (%)
ㆍ 13
100.0%

요금구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
유료
1238 
무료
186 
혼합
 
17

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유료 1238
85.9%
무료 186
 
12.9%
혼합 17
 
1.2%

Length

2024-05-11T10:04:39.517066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:04:40.026386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 1238
85.9%
무료 186
 
12.9%
혼합 17
 
1.2%

자전거이용요금
Text

MISSING 

Distinct75
Distinct (%)5.6%
Missing98
Missing (%)6.8%
Memory size11.4 KiB
2024-05-11T10:04:40.810299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length250
Median length137
Mean length13.39166
Min length1

Characters and Unicode

Total characters17985
Distinct characters118
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)4.0%

Sample

1st row1000원
2nd row1000원
3rd row1000원
4th row1000원
5th row1000원
ValueCountFrequency (%)
1000원 718
23.2%
1시간 309
 
10.0%
500원 284
 
9.2%
무료 109
 
3.5%
101
 
3.3%
7일권(60분 84
 
2.7%
3천원+120분 84
 
2.7%
4천원)+30일권(60분 84
 
2.7%
5천원+120분 84
 
2.7%
7천원)+365일권(60분 84
 
2.7%
Other values (156) 1152
37.2%
2024-05-11T10:04:42.124084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3787
21.1%
원 1946
 
10.8%
1 1774
 
9.9%
1750
 
9.7%
+ 736
 
4.1%
천 582
 
3.2%
분 571
 
3.2%
5 551
 
3.1%
일 527
 
2.9%
권 510
 
2.8%
Other values (108) 5251
29.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7765
43.2%
Other Letter 6945
38.6%
Space Separator 1750
 
9.7%
Math Symbol 738
 
4.1%
Open Punctuation 313
 
1.7%
Close Punctuation 313
 
1.7%
Other Punctuation 156
 
0.9%
Dash Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 1946
28.0%
천 582
 
8.4%
분 571
 
8.2%
일 527
 
7.6%
권 510
 
7.3%
시 368
 
5.3%
간 337
 
4.9%
만 286
 
4.1%
기 200
 
2.9%
정 174
 
2.5%
Other values (88) 1444
20.8%
Decimal Number
ValueCountFrequency (%)
0 3787
48.8%
1 1774
22.8%
5 551
 
7.1%
3 486
 
6.3%
6 418
 
5.4%
2 356
 
4.6%
7 178
 
2.3%
4 154
 
2.0%
8 58
 
0.7%
9 3
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
: 102
65.4%
, 27
 
17.3%
/ 23
 
14.7%
· 4
 
2.6%
Math Symbol
ValueCountFrequency (%)
+ 736
99.7%
~ 2
 
0.3%
Space Separator
ValueCountFrequency (%)
1750
100.0%
Open Punctuation
ValueCountFrequency (%)
( 313
100.0%
Close Punctuation
ValueCountFrequency (%)
) 313
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11040
61.4%
Hangul 6945
38.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 1946
28.0%
천 582
 
8.4%
분 571
 
8.2%
일 527
 
7.6%
권 510
 
7.3%
시 368
 
5.3%
간 337
 
4.9%
만 286
 
4.1%
기 200
 
2.9%
정 174
 
2.5%
Other values (88) 1444
20.8%
Common
ValueCountFrequency (%)
0 3787
34.3%
1 1774
16.1%
1750
15.9%
+ 736
 
6.7%
5 551
 
5.0%
3 486
 
4.4%
6 418
 
3.8%
2 356
 
3.2%
( 313
 
2.8%
) 313
 
2.8%
Other values (10) 556
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11036
61.4%
Hangul 6933
38.5%
Compat Jamo 12
 
0.1%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3787
34.3%
1 1774
16.1%
1750
15.9%
+ 736
 
6.7%
5 551
 
5.0%
3 486
 
4.4%
6 418
 
3.8%
2 356
 
3.2%
( 313
 
2.8%
) 313
 
2.8%
Other values (9) 552
 
5.0%
Hangul
ValueCountFrequency (%)
원 1946
28.1%
천 582
 
8.4%
분 571
 
8.2%
일 527
 
7.6%
권 510
 
7.4%
시 368
 
5.3%
간 337
 
4.9%
만 286
 
4.1%
기 200
 
2.9%
정 174
 
2.5%
Other values (87) 1432
20.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 12
100.0%
None
ValueCountFrequency (%)
· 4
100.0%

자전거보유대수
Real number (ℝ)

Distinct88
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.129077
Minimum0
Maximum338
Zeros14
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size12.8 KiB
2024-05-11T10:04:42.663872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q110
median10
Q313
95-th percentile50
Maximum338
Range338
Interquartile range (IQR)3

Descriptive statistics

Standard deviation29.616132
Coefficient of variation (CV)1.7289975
Kurtosis43.24037
Mean17.129077
Median Absolute Deviation (MAD)0
Skewness5.9728986
Sum24683
Variance877.11527
MonotonicityNot monotonic
2024-05-11T10:04:43.261985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 738
51.2%
12 93
 
6.5%
13 85
 
5.9%
15 71
 
4.9%
6 65
 
4.5%
20 38
 
2.6%
3 33
 
2.3%
14 28
 
1.9%
5 26
 
1.8%
4 24
 
1.7%
Other values (78) 240
 
16.7%
ValueCountFrequency (%)
0 14
 
1.0%
1 6
 
0.4%
2 7
 
0.5%
3 33
2.3%
4 24
 
1.7%
5 26
 
1.8%
6 65
4.5%
7 11
 
0.8%
8 21
 
1.5%
9 10
 
0.7%
ValueCountFrequency (%)
338 1
0.1%
310 2
0.1%
300 1
0.1%
268 1
0.1%
225 1
0.1%
208 2
0.1%
200 1
0.1%
195 1
0.1%
194 1
0.1%
179 1
0.1%

거치대수
Real number (ℝ)

MISSING  ZEROS 

Distinct51
Distinct (%)7.1%
Missing726
Missing (%)50.4%
Infinite0
Infinite (%)0.0%
Mean16.008392
Minimum0
Maximum600
Zeros26
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size12.8 KiB
2024-05-11T10:04:44.015000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q110
median12
Q315
95-th percentile30
Maximum600
Range600
Interquartile range (IQR)5

Descriptive statistics

Standard deviation30.992453
Coefficient of variation (CV)1.9360129
Kurtosis191.25919
Mean16.008392
Median Absolute Deviation (MAD)3
Skewness11.91804
Sum11446
Variance960.53214
MonotonicityNot monotonic
2024-05-11T10:04:44.593516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 124
 
8.6%
15 106
 
7.4%
12 92
 
6.4%
13 83
 
5.8%
20 57
 
4.0%
1 50
 
3.5%
14 28
 
1.9%
0 26
 
1.8%
11 16
 
1.1%
2 14
 
1.0%
Other values (41) 119
 
8.3%
(Missing) 726
50.4%
ValueCountFrequency (%)
0 26
1.8%
1 50
3.5%
2 14
 
1.0%
3 3
 
0.2%
4 4
 
0.3%
5 13
 
0.9%
6 4
 
0.3%
7 6
 
0.4%
8 11
 
0.8%
9 6
 
0.4%
ValueCountFrequency (%)
600 1
0.1%
261 1
0.1%
250 1
0.1%
210 1
0.1%
180 1
0.1%
169 1
0.1%
153 1
0.1%
150 2
0.1%
130 1
0.1%
97 1
0.1%

공기주입기비치여부
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
False
1171 
True
270 
ValueCountFrequency (%)
False 1171
81.3%
True 270
 
18.7%
2024-05-11T10:04:45.025456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

공기주입기유형
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
<NA>
1076 
수동식
204 
기계식
133 
기타
 
17
태양광식
 
11

Length

Max length4
Median length4
Mean length3.7425399
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1076
74.7%
수동식 204
 
14.2%
기계식 133
 
9.2%
기타 17
 
1.2%
태양광식 11
 
0.8%

Length

2024-05-11T10:04:45.501359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:04:46.034591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1076
74.7%
수동식 204
 
14.2%
기계식 133
 
9.2%
기타 17
 
1.2%
태양광식 11
 
0.8%

수리대설치여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
False
1413 
True
 
28
ValueCountFrequency (%)
False 1413
98.1%
True 28
 
1.9%
2024-05-11T10:04:46.400938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

관리기관전화번호
Text

Distinct180
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
2024-05-11T10:04:46.956195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length10.47814
Min length9

Characters and Unicode

Total characters15099
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

Unique132 ?
Unique (%)9.2%

Sample

1st row1899-9161
2nd row1899-9161
3rd row1899-9161
4th row1899-9161
5th row1899-9161
ValueCountFrequency (%)
1899-9161 648
45.0%
042-610-1824 262
18.2%
1599-0120 58
 
4.0%
061-749-4883 54
 
3.7%
061-659-4567 45
 
3.1%
063-454-3593 20
 
1.4%
041-840-8507 20
 
1.4%
063-281-2568 18
 
1.2%
055-940-3594 16
 
1.1%
033-640-5781 14
 
1.0%
Other values (170) 286
19.8%
2024-05-11T10:04:48.099698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2941
19.5%
9 2410
16.0%
- 2150
14.2%
0 1415
9.4%
6 1409
9.3%
8 1305
8.6%
4 1076
 
7.1%
2 943
 
6.2%
5 632
 
4.2%
3 521
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12949
85.8%
Dash Punctuation 2150
 
14.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2941
22.7%
9 2410
18.6%
0 1415
10.9%
6 1409
10.9%
8 1305
10.1%
4 1076
 
8.3%
2 943
 
7.3%
5 632
 
4.9%
3 521
 
4.0%
7 297
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 2150
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15099
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2941
19.5%
9 2410
16.0%
- 2150
14.2%
0 1415
9.4%
6 1409
9.3%
8 1305
8.6%
4 1076
 
7.1%
2 943
 
6.2%
5 632
 
4.2%
3 521
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15099
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2941
19.5%
9 2410
16.0%
- 2150
14.2%
0 1415
9.4%
6 1409
9.3%
8 1305
8.6%
4 1076
 
7.1%
2 943
 
6.2%
5 632
 
4.2%
3 521
 
3.5%

관리기관명
Text

Distinct127
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
2024-05-11T10:04:48.794390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length9.3400416
Min length3

Characters and Unicode

Total characters13459
Distinct characters168
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)5.3%

Sample

1st row세종특별자치시청
2nd row세종특별자치시청
3rd row세종특별자치시청
4th row세종특별자치시청
5th row세종특별자치시청
ValueCountFrequency (%)
세종특별자치시청 648
29.5%
시설관리공단 262
11.9%
대전광역시 262
11.9%
전라남도 108
 
4.9%
서울특별시청 84
 
3.8%
순천시청 54
 
2.5%
교통정책과 54
 
2.5%
여수시청 45
 
2.0%
경상남도 44
 
2.0%
전라북도 39
 
1.8%
Other values (141) 599
27.2%
2024-05-11T10:04:50.038755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 1636
 
12.2%
청 1093
 
8.1%
특 783
 
5.8%
별 783
 
5.8%
758
 
5.6%
자 693
 
5.1%
치 684
 
5.1%
세 648
 
4.8%
종 648
 
4.8%
전 439
 
3.3%
Other values (158) 5294
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12687
94.3%
Space Separator 758
 
5.6%
Decimal Number 8
 
0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1636
 
12.9%
청 1093
 
8.6%
특 783
 
6.2%
별 783
 
6.2%
자 693
 
5.5%
치 684
 
5.4%
세 648
 
5.1%
종 648
 
5.1%
전 439
 
3.5%
광 372
 
2.9%
Other values (151) 4908
38.7%
Decimal Number
ValueCountFrequency (%)
2 4
50.0%
1 3
37.5%
3 1
 
12.5%
Space Separator
ValueCountFrequency (%)
758
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12689
94.3%
Common 770
 
5.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1636
 
12.9%
청 1093
 
8.6%
특 783
 
6.2%
별 783
 
6.2%
자 693
 
5.5%
치 684
 
5.4%
세 648
 
5.1%
종 648
 
5.1%
전 439
 
3.5%
광 372
 
2.9%
Other values (152) 4910
38.7%
Common
ValueCountFrequency (%)
758
98.4%
2 4
 
0.5%
1 3
 
0.4%
) 2
 
0.3%
( 2
 
0.3%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12687
94.3%
ASCII 770
 
5.7%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 1636
 
12.9%
청 1093
 
8.6%
특 783
 
6.2%
별 783
 
6.2%
자 693
 
5.5%
치 684
 
5.4%
세 648
 
5.1%
종 648
 
5.1%
전 439
 
3.5%
광 372
 
2.9%
Other values (151) 4908
38.7%
ASCII
ValueCountFrequency (%)
758
98.4%
2 4
 
0.5%
1 3
 
0.4%
) 2
 
0.3%
( 2
 
0.3%
3 1
 
0.1%
None
ValueCountFrequency (%)
㈜ 2
100.0%

데이터기준일자
Date

Distinct65
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
Minimum2020-06-30 00:00:00
Maximum2024-03-18 00:00:00
2024-05-11T10:04:50.587499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:04:51.218319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제공기관코드
Text

Distinct101
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
2024-05-11T10:04:51.874221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters10087
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)3.5%

Sample

1st row5690000
2nd row5690000
3rd row5690000
4th row5690000
5th row5690000
ValueCountFrequency (%)
5690000 648
45.0%
6300000 262
18.2%
3070000 84
 
5.8%
4820000 54
 
3.7%
4810000 45
 
3.1%
4390000 26
 
1.8%
4500000 20
 
1.4%
3600000 19
 
1.3%
5470000 16
 
1.1%
4200000 14
 
1.0%
Other values (91) 253
 
17.6%
2024-05-11T10:04:52.845696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6161
61.1%
6 1018
 
10.1%
5 810
 
8.0%
9 709
 
7.0%
3 526
 
5.2%
4 318
 
3.2%
7 153
 
1.5%
1 138
 
1.4%
8 136
 
1.3%
2 113
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10082
> 99.9%
Uppercase Letter 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6161
61.1%
6 1018
 
10.1%
5 810
 
8.0%
9 709
 
7.0%
3 526
 
5.2%
4 318
 
3.2%
7 153
 
1.5%
1 138
 
1.4%
8 136
 
1.3%
2 113
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
B 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10082
> 99.9%
Latin 5
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6161
61.1%
6 1018
 
10.1%
5 810
 
8.0%
9 709
 
7.0%
3 526
 
5.2%
4 318
 
3.2%
7 153
 
1.5%
1 138
 
1.4%
8 136
 
1.3%
2 113
 
1.1%
Latin
ValueCountFrequency (%)
B 5
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10087
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6161
61.1%
6 1018
 
10.1%
5 810
 
8.0%
9 709
 
7.0%
3 526
 
5.2%
4 318
 
3.2%
7 153
 
1.5%
1 138
 
1.4%
8 136
 
1.3%
2 113
 
1.1%

제공기관명
Text

Distinct101
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
2024-05-11T10:04:53.645778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length7.1582235
Min length5

Characters and Unicode

Total characters10315
Distinct characters96
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)3.5%

Sample

1st row세종특별자치시
2nd row세종특별자치시
3rd row세종특별자치시
4th row세종특별자치시
5th row세종특별자치시
ValueCountFrequency (%)
세종특별자치시 648
33.0%
대전광역시 262
13.3%
전라남도 110
 
5.6%
서울특별시 100
 
5.1%
성북구 84
 
4.3%
순천시 54
 
2.8%
여수시 45
 
2.3%
경상남도 45
 
2.3%
광주광역시 38
 
1.9%
충청남도 37
 
1.9%
Other values (93) 540
27.5%
2024-05-11T10:04:55.019751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 1394
13.5%
특 798
 
7.7%
별 798
 
7.7%
자 698
 
6.8%
치 698
 
6.8%
세 648
 
6.3%
종 648
 
6.3%
522
 
5.1%
전 442
 
4.3%
도 376
 
3.6%
Other values (86) 3293
31.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9793
94.9%
Space Separator 522
 
5.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1394
14.2%
특 798
 
8.1%
별 798
 
8.1%
자 698
 
7.1%
치 698
 
7.1%
세 648
 
6.6%
종 648
 
6.6%
전 442
 
4.5%
도 376
 
3.8%
광 372
 
3.8%
Other values (85) 2921
29.8%
Space Separator
ValueCountFrequency (%)
522
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9793
94.9%
Common 522
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1394
14.2%
특 798
 
8.1%
별 798
 
8.1%
자 698
 
7.1%
치 698
 
7.1%
세 648
 
6.6%
종 648
 
6.6%
전 442
 
4.5%
도 376
 
3.8%
광 372
 
3.8%
Other values (85) 2921
29.8%
Common
ValueCountFrequency (%)
522
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9793
94.9%
ASCII 522
 
5.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 1394
14.2%
특 798
 
8.1%
별 798
 
8.1%
자 698
 
7.1%
치 698
 
7.1%
세 648
 
6.6%
종 648
 
6.6%
전 442
 
4.5%
도 376
 
3.8%
광 372
 
3.8%
Other values (85) 2921
29.8%
ASCII
ValueCountFrequency (%)
522
100.0%

Sample

자전거대여소명자전거대여소구분소재지도로명주소소재지지번주소위도경도운영시작시각운영종료시각휴무일요금구분자전거이용요금자전거보유대수거치대수공기주입기비치여부공기주입기유형수리대설치여부관리기관전화번호관리기관명데이터기준일자제공기관코드제공기관명
0대평동_해들205동무인대여소<NA>세종특별자치시 대평동 266-2636.470837127.27711100:0023:59연중무휴유료1000원10<NA>N<NA>N1899-9161세종특별자치시청2024-01-175690000세종특별자치시
1보람동_해들510동무인대여소<NA>세종특별자치시 보람동 73336.474437127.28239300:0023:59연중무휴유료1000원10<NA>N<NA>N1899-9161세종특별자치시청2024-01-175690000세종특별자치시
2보람동_호려울308동무인대여소<NA>세종특별자치시 보람동 664-4236.477275127.28329300:0023:59연중무휴유료1000원10<NA>N<NA>N1899-9161세종특별자치시청2024-01-175690000세종특별자치시
3소담동_새샘201동무인대여소<NA>세종특별자치시 소담동 32-1436.481362127.30092900:0023:59연중무휴유료1000원10<NA>N<NA>N1899-9161세종특별자치시청2024-01-175690000세종특별자치시
4종촌동_가재301동무인대여소<NA>세종특별자치시 종촌동 68036.505046127.24151600:0023:59연중무휴유료1000원10<NA>N<NA>N1899-9161세종특별자치시청2024-01-175690000세종특별자치시
5어진동_엠브릿지무인대여소<NA>세종특별자치시 어진동 51036.502895127.25806300:0023:59연중무휴유료1000원10<NA>N<NA>N1899-9161세종특별자치시청2024-01-175690000세종특별자치시
6연기면_세종예술고무인대여소<NA>세종특별자치시 연기면 세종리 548-8736.491503127.27007800:0023:59연중무휴유료1000원10<NA>N<NA>N1899-9161세종특별자치시청2024-01-175690000세종특별자치시
7아름동_범지기1013동무인대여소<NA>세종특별자치시 아름동 124236.517238127.25199800:0023:59연중무휴유료1000원10<NA>N<NA>N1899-9161세종특별자치시청2024-01-175690000세종특별자치시
8아름동_범지기308동무인대여소<NA>세종특별자치시 아름동 1297-136.516926127.24544600:0023:59연중무휴유료1000원10<NA>N<NA>N1899-9161세종특별자치시청2024-01-175690000세종특별자치시
9아름동_범지기902동무인대여소<NA>세종특별자치시 아름동 1282-136.516861127.24568300:0023:59연중무휴유료1000원10<NA>N<NA>N1899-9161세종특별자치시청2024-01-175690000세종특별자치시
자전거대여소명자전거대여소구분소재지도로명주소소재지지번주소위도경도운영시작시각운영종료시각휴무일요금구분자전거이용요금자전거보유대수거치대수공기주입기비치여부공기주입기유형수리대설치여부관리기관전화번호관리기관명데이터기준일자제공기관코드제공기관명
1431농업기술센터무인대여소경상남도 거창군 거창읍 거함대로 3322경상남도 거창군 거창읍 대평리 908-135.678007127.92303400:0023:59연중무휴유료1일권 1천원+정기권 1개월 3천원+정기권 1년 2만원35N기타N055-940-3594경상남도 거창군청2024-01-015470000경상남도 거창군
1432거창창포원무인대여소경상남도 거창군 남상면 창포원길 21-1경상남도 거창군 남상면 월평리 228635.654957127.93957300:0023:59연중무휴유료1일권 1천원+정기권 1개월 3천원+정기권 1년 2만원710Y기계식N055-940-3594경상남도 거창군청2024-01-015470000경상남도 거창군
1433충장동주민센터유인대여소광주광역시 동구 충장로58번길 16광주광역시 동구 충장로4가 32-235.149182126.91284709:0018:00토+일무료<NA>20N<NA>N062-608-3505광주광역시 동구 충장동주민센터2024-03-073590000광주광역시 동구
1434산수1동행정복지센터유인대여소광주광역시 동구 무등로449번길 12광주광역시 동구 산수동 541-1035.157291126.93074909:0018:00토+일무료<NA>30N<NA>N062-608-3632광주광역시 동구 산수1동주민센터2024-03-073590000광주광역시 동구
1435산수2동행정복지센터유인대여소광주광역시 동구 필문대로191번길 43-24광주광역시 동구 산수동 512-335.154574126.93614909:0018:00토+일무료<NA>14N<NA>N062-608-3660광주광역시 동구 산수2동주민센터2024-03-073590000광주광역시 동구
1436지산1동행정복지센터유인대여소광주광역시 동구 지산로 57광주광역시 동구 지산동 448-4935.149043126.93271809:0018:00토+일무료<NA>34N<NA>N062-608-3701광주광역시 동구 지산1동주민센터2024-03-073590000광주광역시 동구
1437지산2동행정복지센터유인대여소광주광역시 동구 지호로 51광주광역시 동구 지산동 232-4635.147975126.93449309:0018:00토+일무료<NA>15N<NA>N062-608-3735광주광역시 동구 지산2동주민센터2024-03-073590000광주광역시 동구
1438서남동행정복지센터유인대여소광주광역시 동구 서남로 14광주광역시 동구 서석동 2935.144962126.92316309:0018:00토+일무료<NA>20N<NA>N062-608-3751광주광역시 동구 서남동주민센터2024-03-073590000광주광역시 동구
1439지원1동행정복지센터유인대여소광주광역시 동구 지원로 31-9광주광역시 동구 소태동 486-135.125301126.93517709:0018:00토+일무료<NA>10N<NA>N062-608-3851광주광역시 동구 지원1동주민센터2024-03-073590000광주광역시 동구
1440지원2동행정복지센터유인대여소광주광역시 동구 화산로 361광주광역시 동구 용산동 269-135.120466126.93287309:0018:00토+일무료<NA>40N<NA>N062-608-3874광주광역시 동구 지원2동주민센터2024-03-073590000광주광역시 동구