Overview

Dataset statistics

Number of variables47
Number of observations386
Missing cells504
Missing cells (%)2.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory143.4 KiB
Average record size in memory380.3 B

Variable types

Text10
Numeric4
Categorical30
DateTime3

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/15028208/standard.do

Alerts

1월운영시작시각 is highly imbalanced (50.3%)Imbalance
판매제한품목 is highly imbalanced (65.9%)Imbalance
소재지도로명주소 has 108 (28.0%) missing valuesMissing
소재지지번주소 has 35 (9.1%) missing valuesMissing
위도 has 133 (34.5%) missing valuesMissing
경도 has 132 (34.2%) missing valuesMissing
푸드트럭운영대수 has 96 (24.9%) missing valuesMissing
푸드트럭운영대수 has 10 (2.6%) zerosZeros

Reproduction

Analysis started2024-05-18 09:27:10.366293
Analysis finished2024-05-18 09:27:13.004556
Duration2.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

허가구역명
Text

Distinct310
Distinct (%)80.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-05-18T18:27:13.280052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length8.1321244
Min length3

Characters and Unicode

Total characters3139
Distinct characters411
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique259 ?
Unique (%)67.1%

Sample

1st row치요남치킨강촌점
2nd row강변쉼터
3rd row오월드
4th row테헤란로83길
5th row대화전통시장
ValueCountFrequency (%)
주차장 18
 
3.2%
행사장 14
 
2.5%
아파트 12
 
2.1%
공공기관 9
 
1.6%
장터 9
 
1.6%
내 6
 
1.1%
봉포리 6
 
1.1%
졸음쉼터 6
 
1.1%
푸드트럭존 6
 
1.1%
경인아라뱃길 5
 
0.9%
Other values (391) 468
83.7%
2024-05-18T18:27:14.517880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
173
 
5.5%
장 110
 
3.5%
공 79
 
2.5%
원 66
 
2.1%
트 63
 
2.0%
아 53
 
1.7%
시 43
 
1.4%
파 43
 
1.4%
터 41
 
1.3%
관 40
 
1.3%
Other values (401) 2428
77.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2820
89.8%
Space Separator 173
 
5.5%
Decimal Number 52
 
1.7%
Uppercase Letter 29
 
0.9%
Close Punctuation 26
 
0.8%
Open Punctuation 24
 
0.8%
Lowercase Letter 10
 
0.3%
Other Punctuation 4
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 110
 
3.9%
공 79
 
2.8%
원 66
 
2.3%
트 63
 
2.2%
아 53
 
1.9%
시 43
 
1.5%
파 43
 
1.5%
터 41
 
1.5%
관 40
 
1.4%
드 39
 
1.4%
Other values (365) 2243
79.5%
Uppercase Letter
ValueCountFrequency (%)
C 5
17.2%
B 4
13.8%
A 3
10.3%
T 3
10.3%
G 3
10.3%
W 2
 
6.9%
D 2
 
6.9%
O 2
 
6.9%
Y 1
 
3.4%
E 1
 
3.4%
Other values (3) 3
10.3%
Decimal Number
ValueCountFrequency (%)
2 17
32.7%
1 15
28.8%
3 4
 
7.7%
5 4
 
7.7%
4 3
 
5.8%
0 2
 
3.8%
6 2
 
3.8%
8 2
 
3.8%
9 2
 
3.8%
7 1
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
e 3
30.0%
m 2
20.0%
y 1
 
10.0%
a 1
 
10.0%
u 1
 
10.0%
c 1
 
10.0%
f 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
& 1
 
25.0%
Space Separator
ValueCountFrequency (%)
173
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2819
89.8%
Common 280
 
8.9%
Latin 39
 
1.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 110
 
3.9%
공 79
 
2.8%
원 66
 
2.3%
트 63
 
2.2%
아 53
 
1.9%
시 43
 
1.5%
파 43
 
1.5%
터 41
 
1.5%
관 40
 
1.4%
드 39
 
1.4%
Other values (364) 2242
79.5%
Latin
ValueCountFrequency (%)
C 5
12.8%
B 4
 
10.3%
A 3
 
7.7%
T 3
 
7.7%
G 3
 
7.7%
e 3
 
7.7%
m 2
 
5.1%
W 2
 
5.1%
D 2
 
5.1%
O 2
 
5.1%
Other values (10) 10
25.6%
Common
ValueCountFrequency (%)
173
61.8%
) 26
 
9.3%
( 24
 
8.6%
2 17
 
6.1%
1 15
 
5.4%
3 4
 
1.4%
5 4
 
1.4%
4 3
 
1.1%
, 3
 
1.1%
0 2
 
0.7%
Other values (6) 9
 
3.2%
Han
ValueCountFrequency (%)
美 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2819
89.8%
ASCII 319
 
10.2%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
173
54.2%
) 26
 
8.2%
( 24
 
7.5%
2 17
 
5.3%
1 15
 
4.7%
C 5
 
1.6%
B 4
 
1.3%
3 4
 
1.3%
5 4
 
1.3%
A 3
 
0.9%
Other values (26) 44
 
13.8%
Hangul
ValueCountFrequency (%)
장 110
 
3.9%
공 79
 
2.8%
원 66
 
2.3%
트 63
 
2.2%
아 53
 
1.9%
시 43
 
1.5%
파 43
 
1.5%
터 41
 
1.5%
관 40
 
1.4%
드 39
 
1.4%
Other values (364) 2242
79.5%
CJK
ValueCountFrequency (%)
美 1
100.0%

장소유형
Real number (ℝ)

Distinct9
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.632124
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-18T18:27:14.963798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median7
Q399
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)96

Descriptive statistics

Standard deviation46.76867
Coefficient of variation (CV)1.0970288
Kurtosis-1.8617095
Mean42.632124
Median Absolute Deviation (MAD)5
Skewness0.3766198
Sum16456
Variance2187.3085
MonotonicityNot monotonic
2024-05-18T18:27:15.432796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
99 157
40.7%
2 67
17.4%
8 34
 
8.8%
4 31
 
8.0%
1 25
 
6.5%
3 23
 
6.0%
5 20
 
5.2%
7 15
 
3.9%
6 14
 
3.6%
ValueCountFrequency (%)
1 25
 
6.5%
2 67
17.4%
3 23
 
6.0%
4 31
 
8.0%
5 20
 
5.2%
6 14
 
3.6%
7 15
 
3.9%
8 34
 
8.8%
99 157
40.7%
ValueCountFrequency (%)
99 157
40.7%
8 34
 
8.8%
7 15
 
3.9%
6 14
 
3.6%
5 20
 
5.2%
4 31
 
8.0%
3 23
 
6.0%
2 67
17.4%
1 25
 
6.5%

시도명
Categorical

Distinct18
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
경기도
79 
경상남도
47 
충청남도
44 
충청북도
34 
강원특별자치도
31 
Other values (13)
151 

Length

Max length7
Median length5
Mean length4.2901554
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 79
20.5%
경상남도 47
12.2%
충청남도 44
11.4%
충청북도 34
8.8%
강원특별자치도 31
 
8.0%
강원도 28
 
7.3%
제주특별자치도 17
 
4.4%
전라남도 17
 
4.4%
서울특별시 17
 
4.4%
부산광역시 12
 
3.1%
Other values (8) 60
15.5%

Length

2024-05-18T18:27:15.771099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 79
20.5%
경상남도 47
12.2%
충청남도 44
11.4%
충청북도 34
8.8%
강원특별자치도 31
 
8.0%
강원도 28
 
7.3%
제주특별자치도 17
 
4.4%
전라남도 17
 
4.4%
서울특별시 17
 
4.4%
경상북도 12
 
3.1%
Other values (8) 60
15.5%

시군구명
Text

Distinct103
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-05-18T18:27:16.377550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.1295337
Min length2

Characters and Unicode

Total characters1208
Distinct characters83
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

Unique34 ?
Unique (%)8.8%

Sample

1st row춘천시
2nd row춘천시
3rd row중구
4th row강남구
5th row평창군
ValueCountFrequency (%)
광주시 22
 
5.5%
흥덕구 19
 
4.8%
평창군 16
 
4.0%
고성군 14
 
3.5%
서귀포시 14
 
3.5%
천안시 11
 
2.8%
부여군 10
 
2.5%
예산군 9
 
2.3%
춘천시 8
 
2.0%
의왕시 8
 
2.0%
Other values (98) 267
67.1%
2024-05-18T18:27:17.397836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 157
 
13.0%
군 143
 
11.8%
구 108
 
8.9%
천 59
 
4.9%
주 44
 
3.6%
산 38
 
3.1%
성 32
 
2.6%
창 30
 
2.5%
양 29
 
2.4%
서 29
 
2.4%
Other values (73) 539
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1196
99.0%
Space Separator 12
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 157
 
13.1%
군 143
 
12.0%
구 108
 
9.0%
천 59
 
4.9%
주 44
 
3.7%
산 38
 
3.2%
성 32
 
2.7%
창 30
 
2.5%
양 29
 
2.4%
서 29
 
2.4%
Other values (72) 527
44.1%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1196
99.0%
Common 12
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 157
 
13.1%
군 143
 
12.0%
구 108
 
9.0%
천 59
 
4.9%
주 44
 
3.7%
산 38
 
3.2%
성 32
 
2.7%
창 30
 
2.5%
양 29
 
2.4%
서 29
 
2.4%
Other values (72) 527
44.1%
Common
ValueCountFrequency (%)
12
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1196
99.0%
ASCII 12
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 157
 
13.1%
군 143
 
12.0%
구 108
 
9.0%
천 59
 
4.9%
주 44
 
3.7%
산 38
 
3.2%
성 32
 
2.7%
창 30
 
2.5%
양 29
 
2.4%
서 29
 
2.4%
Other values (72) 527
44.1%
ASCII
ValueCountFrequency (%)
12
100.0%

소재지도로명주소
Text

MISSING 

Distinct249
Distinct (%)89.6%
Missing108
Missing (%)28.0%
Memory size3.1 KiB
2024-05-18T18:27:18.024270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length42
Mean length27.251799
Min length14

Characters and Unicode

Total characters7576
Distinct characters334
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

Unique229 ?
Unique (%)82.4%

Sample

1st row강원도 춘천시 남면 충효로 1381
2nd row강원도 춘천시 남산면 북한강변길 910-36 (마을회관 맞은편도로)
3rd row대전광역시 중구 사정공원로 70, 대전동물원(사정동)
4th row서울특별시 강남구 테헤란로83길 12
5th row강원도 평창군 대화면 대화3길 41
ValueCountFrequency (%)
경기도 58
 
3.6%
충청남도 34
 
2.1%
충청북도 33
 
2.1%
청주시 29
 
1.8%
강원특별자치도 27
 
1.7%
강원도 24
 
1.5%
경상남도 24
 
1.5%
광주시 21
 
1.3%
흥덕구 19
 
1.2%
평창군 16
 
1.0%
Other values (720) 1314
82.2%
2024-05-18T18:27:19.102214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1321
 
17.4%
도 260
 
3.4%
로 229
 
3.0%
시 208
 
2.7%
1 179
 
2.4%
2 144
 
1.9%
청 131
 
1.7%
구 129
 
1.7%
남 113
 
1.5%
주 109
 
1.4%
Other values (324) 4753
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4998
66.0%
Space Separator 1321
 
17.4%
Decimal Number 929
 
12.3%
Open Punctuation 90
 
1.2%
Close Punctuation 90
 
1.2%
Other Punctuation 84
 
1.1%
Dash Punctuation 48
 
0.6%
Uppercase Letter 14
 
0.2%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 260
 
5.2%
로 229
 
4.6%
시 208
 
4.2%
청 131
 
2.6%
구 129
 
2.6%
남 113
 
2.3%
주 109
 
2.2%
경 105
 
2.1%
군 96
 
1.9%
동 95
 
1.9%
Other values (302) 3523
70.5%
Decimal Number
ValueCountFrequency (%)
1 179
19.3%
2 144
15.5%
3 105
11.3%
5 81
8.7%
6 79
8.5%
7 78
8.4%
0 75
8.1%
8 66
 
7.1%
4 64
 
6.9%
9 58
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
T 4
28.6%
G 4
28.6%
B 2
14.3%
L 2
14.3%
H 1
 
7.1%
D 1
 
7.1%
Space Separator
ValueCountFrequency (%)
1321
100.0%
Open Punctuation
ValueCountFrequency (%)
( 90
100.0%
Close Punctuation
ValueCountFrequency (%)
) 90
100.0%
Other Punctuation
ValueCountFrequency (%)
, 84
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4998
66.0%
Common 2562
33.8%
Latin 16
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 260
 
5.2%
로 229
 
4.6%
시 208
 
4.2%
청 131
 
2.6%
구 129
 
2.6%
남 113
 
2.3%
주 109
 
2.2%
경 105
 
2.1%
군 96
 
1.9%
동 95
 
1.9%
Other values (302) 3523
70.5%
Common
ValueCountFrequency (%)
1321
51.6%
1 179
 
7.0%
2 144
 
5.6%
3 105
 
4.1%
( 90
 
3.5%
) 90
 
3.5%
, 84
 
3.3%
5 81
 
3.2%
6 79
 
3.1%
7 78
 
3.0%
Other values (5) 311
 
12.1%
Latin
ValueCountFrequency (%)
T 4
25.0%
G 4
25.0%
e 2
12.5%
B 2
12.5%
L 2
12.5%
H 1
 
6.2%
D 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4998
66.0%
ASCII 2578
34.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1321
51.2%
1 179
 
6.9%
2 144
 
5.6%
3 105
 
4.1%
( 90
 
3.5%
) 90
 
3.5%
, 84
 
3.3%
5 81
 
3.1%
6 79
 
3.1%
7 78
 
3.0%
Other values (12) 327
 
12.7%
Hangul
ValueCountFrequency (%)
도 260
 
5.2%
로 229
 
4.6%
시 208
 
4.2%
청 131
 
2.6%
구 129
 
2.6%
남 113
 
2.3%
주 109
 
2.2%
경 105
 
2.1%
군 96
 
1.9%
동 95
 
1.9%
Other values (302) 3523
70.5%

소재지지번주소
Text

MISSING 

Distinct312
Distinct (%)88.9%
Missing35
Missing (%)9.1%
Memory size3.1 KiB
2024-05-18T18:27:19.751319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38
Mean length23.25641
Min length13

Characters and Unicode

Total characters8163
Distinct characters292
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

Unique284 ?
Unique (%)80.9%

Sample

1st row강원도 춘천시 남면 가정리 908
2nd row강원도 춘천시 남산면 강촌리 570-3
3rd row대전광역시 중구 사정동 142
4th row서울특별시 강남구 삼성동 158-5
5th row강원도 평창군 대화리 1001-171
ValueCountFrequency (%)
경기도 72
 
3.9%
경상남도 46
 
2.5%
충청남도 44
 
2.4%
충청북도 33
 
1.8%
청주시 30
 
1.6%
산 26
 
1.4%
강원특별자치도 25
 
1.4%
강원도 24
 
1.3%
광주시 22
 
1.2%
흥덕구 19
 
1.0%
Other values (817) 1501
81.5%
2024-05-18T18:27:21.083229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1491
 
18.3%
도 312
 
3.8%
1 273
 
3.3%
시 252
 
3.1%
리 218
 
2.7%
- 192
 
2.4%
동 180
 
2.2%
남 148
 
1.8%
2 148
 
1.8%
경 139
 
1.7%
Other values (282) 4810
58.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5172
63.4%
Space Separator 1491
 
18.3%
Decimal Number 1288
 
15.8%
Dash Punctuation 192
 
2.4%
Close Punctuation 5
 
0.1%
Open Punctuation 5
 
0.1%
Other Punctuation 4
 
< 0.1%
Uppercase Letter 4
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 312
 
6.0%
시 252
 
4.9%
리 218
 
4.2%
동 180
 
3.5%
남 148
 
2.9%
경 139
 
2.7%
청 139
 
2.7%
구 137
 
2.6%
산 135
 
2.6%
군 128
 
2.5%
Other values (262) 3384
65.4%
Decimal Number
ValueCountFrequency (%)
1 273
21.2%
2 148
11.5%
3 135
10.5%
5 124
9.6%
7 116
9.0%
4 110
8.5%
9 100
 
7.8%
0 99
 
7.7%
6 93
 
7.2%
8 90
 
7.0%
Uppercase Letter
ValueCountFrequency (%)
G 1
25.0%
T 1
25.0%
H 1
25.0%
L 1
25.0%
Space Separator
ValueCountFrequency (%)
1491
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 192
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5172
63.4%
Common 2985
36.6%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 312
 
6.0%
시 252
 
4.9%
리 218
 
4.2%
동 180
 
3.5%
남 148
 
2.9%
경 139
 
2.7%
청 139
 
2.7%
구 137
 
2.6%
산 135
 
2.6%
군 128
 
2.5%
Other values (262) 3384
65.4%
Common
ValueCountFrequency (%)
1491
49.9%
1 273
 
9.1%
- 192
 
6.4%
2 148
 
5.0%
3 135
 
4.5%
5 124
 
4.2%
7 116
 
3.9%
4 110
 
3.7%
9 100
 
3.4%
0 99
 
3.3%
Other values (5) 197
 
6.6%
Latin
ValueCountFrequency (%)
e 2
33.3%
G 1
16.7%
T 1
16.7%
H 1
16.7%
L 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5172
63.4%
ASCII 2991
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1491
49.8%
1 273
 
9.1%
- 192
 
6.4%
2 148
 
4.9%
3 135
 
4.5%
5 124
 
4.1%
7 116
 
3.9%
4 110
 
3.7%
9 100
 
3.3%
0 99
 
3.3%
Other values (10) 203
 
6.8%
Hangul
ValueCountFrequency (%)
도 312
 
6.0%
시 252
 
4.9%
리 218
 
4.2%
동 180
 
3.5%
남 148
 
2.9%
경 139
 
2.7%
청 139
 
2.7%
구 137
 
2.6%
산 135
 
2.6%
군 128
 
2.5%
Other values (262) 3384
65.4%

위도
Real number (ℝ)

MISSING 

Distinct218
Distinct (%)86.2%
Missing133
Missing (%)34.5%
Infinite0
Infinite (%)0.0%
Mean36.367117
Minimum33.244936
Maximum38.481383
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-18T18:27:21.504630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.244936
5-th percentile33.394888
Q135.294264
median36.395725
Q337.516061
95-th percentile38.115224
Maximum38.481383
Range5.2364468
Interquartile range (IQR)2.2217971

Descriptive statistics

Standard deviation1.369941
Coefficient of variation (CV)0.037669771
Kurtosis-0.57610839
Mean36.367117
Median Absolute Deviation (MAD)1.1124712
Skewness-0.49657825
Sum9200.8807
Variance1.8767383
MonotonicityNot monotonic
2024-05-18T18:27:22.003120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.825508 4
 
1.0%
37.733325 4
 
1.0%
33.39488821 3
 
0.8%
38.07699678 3
 
0.8%
36.27189228 2
 
0.5%
36.30721422 2
 
0.5%
38.2602593 2
 
0.5%
37.5160609512 2
 
0.5%
35.35496755 2
 
0.5%
35.3373721221 2
 
0.5%
Other values (208) 227
58.8%
(Missing) 133
34.5%
ValueCountFrequency (%)
33.24493624 2
0.5%
33.2692859 1
0.3%
33.29114451 1
0.3%
33.291722 1
0.3%
33.291727 1
0.3%
33.291732 1
0.3%
33.322486 1
0.3%
33.32939393 1
0.3%
33.332369 1
0.3%
33.3629887982 1
0.3%
ValueCountFrequency (%)
38.48138302 2
0.5%
38.47250441 2
0.5%
38.38732545 2
0.5%
38.2603941 2
0.5%
38.2602593 2
0.5%
38.2544524 2
0.5%
38.11671862 1
0.3%
38.11422684 1
0.3%
38.10859018 1
0.3%
38.108303 1
0.3%

경도
Real number (ℝ)

MISSING 

Distinct218
Distinct (%)85.8%
Missing132
Missing (%)34.2%
Infinite0
Infinite (%)0.0%
Mean127.62752
Minimum126.23046
Maximum129.20034
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-18T18:27:22.447242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.23046
5-th percentile126.55576
Q1126.89617
median127.45152
Q3128.43132
95-th percentile129.00699
Maximum129.20034
Range2.9698792
Interquartile range (IQR)1.535151

Descriptive statistics

Standard deviation0.83040966
Coefficient of variation (CV)0.0065065096
Kurtosis-1.3318527
Mean127.62752
Median Absolute Deviation (MAD)0.68141035
Skewness0.28184309
Sum32417.389
Variance0.68958021
MonotonicityNot monotonic
2024-05-18T18:27:22.887388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.614821 4
 
1.0%
127.576019 4
 
1.0%
127.1420612 3
 
0.8%
126.4147622 2
 
0.5%
128.4149483 2
 
0.5%
126.9106567 2
 
0.5%
128.4356988 2
 
0.5%
126.9019655 2
 
0.5%
126.817663 2
 
0.5%
128.0523348 2
 
0.5%
Other values (208) 229
59.3%
(Missing) 132
34.2%
ValueCountFrequency (%)
126.230456 1
0.3%
126.356392 1
0.3%
126.3583543713 1
0.3%
126.3665090236 1
0.3%
126.4147622 2
0.5%
126.4256786 1
0.3%
126.428076 1
0.3%
126.4572598 1
0.3%
126.4609317 1
0.3%
126.4882178 1
0.3%
ValueCountFrequency (%)
129.2003352 1
0.3%
129.1913662 1
0.3%
129.1520693 1
0.3%
129.1070421 1
0.3%
129.1021986249 2
0.5%
129.0920249 1
0.3%
129.0838247 1
0.3%
129.0838238 1
0.3%
129.0750952 1
0.3%
129.058356 1
0.3%

푸드트럭운영대수
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)5.9%
Missing96
Missing (%)24.9%
Infinite0
Infinite (%)0.0%
Mean1.8241379
Minimum0
Maximum25
Zeros10
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-18T18:27:23.300679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile6.55
Maximum25
Range25
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.8841717
Coefficient of variation (CV)1.5811149
Kurtosis30.338318
Mean1.8241379
Median Absolute Deviation (MAD)0
Skewness5.0775231
Sum529
Variance8.3184465
MonotonicityNot monotonic
2024-05-18T18:27:23.851294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1 224
58.0%
2 20
 
5.2%
3 10
 
2.6%
0 10
 
2.6%
4 6
 
1.6%
7 4
 
1.0%
6 3
 
0.8%
8 2
 
0.5%
14 2
 
0.5%
5 2
 
0.5%
Other values (7) 7
 
1.8%
(Missing) 96
24.9%
ValueCountFrequency (%)
0 10
 
2.6%
1 224
58.0%
2 20
 
5.2%
3 10
 
2.6%
4 6
 
1.6%
5 2
 
0.5%
6 3
 
0.8%
7 4
 
1.0%
8 2
 
0.5%
9 1
 
0.3%
ValueCountFrequency (%)
25 1
 
0.3%
23 1
 
0.3%
18 1
 
0.3%
15 1
 
0.3%
14 2
0.5%
11 1
 
0.3%
10 1
 
0.3%
9 1
 
0.3%
8 2
0.5%
7 4
1.0%

허가구역사용료
Text

Distinct108
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-05-18T18:27:24.575660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length1
Mean length4.2823834
Min length1

Characters and Unicode

Total characters1653
Distinct characters95
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)22.5%

Sample

1st row0
2nd row0
3rd row0원
4th row1010570
5th row0
ValueCountFrequency (%)
0 239
44.4%
× 30
 
5.6%
연 26
 
4.8%
월 17
 
3.2%
공시지가(원 10
 
1.9%
면적 10
 
1.9%
1(년 10
 
1.9%
별도 9
 
1.7%
문의 9
 
1.7%
아파트관리소 9
 
1.7%
Other values (123) 169
31.4%
2024-05-18T18:27:26.147893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 503
30.4%
152
 
9.2%
원 87
 
5.3%
1 85
 
5.1%
5 56
 
3.4%
2 54
 
3.3%
6 39
 
2.4%
4 39
 
2.4%
연 38
 
2.3%
3 35
 
2.1%
Other values (85) 565
34.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 895
54.1%
Other Letter 483
29.2%
Space Separator 152
 
9.2%
Close Punctuation 31
 
1.9%
Open Punctuation 31
 
1.9%
Math Symbol 30
 
1.8%
Other Punctuation 24
 
1.5%
Uppercase Letter 6
 
0.4%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 87
 
18.0%
연 38
 
7.9%
월 26
 
5.4%
년 25
 
5.2%
별 18
 
3.7%
도 17
 
3.5%
트 15
 
3.1%
의 14
 
2.9%
아 12
 
2.5%
파 12
 
2.5%
Other values (64) 219
45.3%
Decimal Number
ValueCountFrequency (%)
0 503
56.2%
1 85
 
9.5%
5 56
 
6.3%
2 54
 
6.0%
6 39
 
4.4%
4 39
 
4.4%
3 35
 
3.9%
7 31
 
3.5%
9 29
 
3.2%
8 24
 
2.7%
Other Punctuation
ValueCountFrequency (%)
. 10
41.7%
, 8
33.3%
/ 6
25.0%
Uppercase Letter
ValueCountFrequency (%)
T 2
33.3%
A 2
33.3%
V 2
33.3%
Space Separator
ValueCountFrequency (%)
152
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Math Symbol
ValueCountFrequency (%)
× 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1164
70.4%
Hangul 483
29.2%
Latin 6
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 87
 
18.0%
연 38
 
7.9%
월 26
 
5.4%
년 25
 
5.2%
별 18
 
3.7%
도 17
 
3.5%
트 15
 
3.1%
의 14
 
2.9%
아 12
 
2.5%
파 12
 
2.5%
Other values (64) 219
45.3%
Common
ValueCountFrequency (%)
0 503
43.2%
152
 
13.1%
1 85
 
7.3%
5 56
 
4.8%
2 54
 
4.6%
6 39
 
3.4%
4 39
 
3.4%
3 35
 
3.0%
7 31
 
2.7%
) 31
 
2.7%
Other values (8) 139
 
11.9%
Latin
ValueCountFrequency (%)
T 2
33.3%
A 2
33.3%
V 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1140
69.0%
Hangul 483
29.2%
None 30
 
1.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 503
44.1%
152
 
13.3%
1 85
 
7.5%
5 56
 
4.9%
2 54
 
4.7%
6 39
 
3.4%
4 39
 
3.4%
3 35
 
3.1%
7 31
 
2.7%
) 31
 
2.7%
Other values (10) 115
 
10.1%
Hangul
ValueCountFrequency (%)
원 87
 
18.0%
연 38
 
7.9%
월 26
 
5.4%
년 25
 
5.2%
별 18
 
3.7%
도 17
 
3.5%
트 15
 
3.1%
의 14
 
2.9%
아 12
 
2.5%
파 12
 
2.5%
Other values (64) 219
45.3%
None
ValueCountFrequency (%)
× 30
100.0%

허가구역운영시작일자
Date

Distinct272
Distinct (%)70.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum2015-02-11 00:00:00
Maximum2032-08-09 00:00:00
2024-05-18T18:27:26.566183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T18:27:27.045969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

허가구역운영종료일자
Date

Distinct203
Distinct (%)52.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum2017-10-13 00:00:00
Maximum2100-01-01 00:00:00
2024-05-18T18:27:27.607067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T18:27:28.159383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

허가구역휴무일
Text

Distinct57
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-05-18T18:27:28.906105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length4
Mean length5.0984456
Min length1

Characters and Unicode

Total characters1968
Distinct characters92
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)7.8%

Sample

1st row연중무휴
2nd row연중무휴
3rd row연중무휴
4th row연중무휴
5th row4일+9일+14일+19일+24일+29일
ValueCountFrequency (%)
연중무휴 283
65.4%
비정기적 8
 
1.8%
0 5
 
1.2%
토요일+일요일+공휴일 5
 
1.2%
없음 5
 
1.2%
휴무 5
 
1.2%
목 4
 
0.9%
월 4
 
0.9%
중 4
 
0.9%
운영 4
 
0.9%
Other values (75) 106
 
24.5%
2024-05-18T18:27:30.201418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
휴 306
15.5%
무 295
15.0%
중 289
14.7%
연 285
14.5%
일 140
 
7.1%
+ 122
 
6.2%
요 49
 
2.5%
47
 
2.4%
월 26
 
1.3%
2 25
 
1.3%
Other values (82) 384
19.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1685
85.6%
Math Symbol 126
 
6.4%
Decimal Number 102
 
5.2%
Space Separator 47
 
2.4%
Close Punctuation 3
 
0.2%
Open Punctuation 3
 
0.2%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
휴 306
18.2%
무 295
17.5%
중 289
17.2%
연 285
16.9%
일 140
8.3%
요 49
 
2.9%
월 26
 
1.5%
수 21
 
1.2%
기 18
 
1.1%
정 16
 
0.9%
Other values (66) 240
14.2%
Decimal Number
ValueCountFrequency (%)
2 25
24.5%
1 23
22.5%
0 11
10.8%
3 9
 
8.8%
5 8
 
7.8%
4 7
 
6.9%
9 7
 
6.9%
8 6
 
5.9%
7 6
 
5.9%
Math Symbol
ValueCountFrequency (%)
+ 122
96.8%
~ 4
 
3.2%
Other Punctuation
ValueCountFrequency (%)
* 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1685
85.6%
Common 283
 
14.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
휴 306
18.2%
무 295
17.5%
중 289
17.2%
연 285
16.9%
일 140
8.3%
요 49
 
2.9%
월 26
 
1.5%
수 21
 
1.2%
기 18
 
1.1%
정 16
 
0.9%
Other values (66) 240
14.2%
Common
ValueCountFrequency (%)
+ 122
43.1%
47
 
16.6%
2 25
 
8.8%
1 23
 
8.1%
0 11
 
3.9%
3 9
 
3.2%
5 8
 
2.8%
4 7
 
2.5%
9 7
 
2.5%
8 6
 
2.1%
Other values (6) 18
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1685
85.6%
ASCII 283
 
14.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
휴 306
18.2%
무 295
17.5%
중 289
17.2%
연 285
16.9%
일 140
8.3%
요 49
 
2.9%
월 26
 
1.5%
수 21
 
1.2%
기 18
 
1.1%
정 16
 
0.9%
Other values (66) 240
14.2%
ASCII
ValueCountFrequency (%)
+ 122
43.1%
47
 
16.6%
2 25
 
8.8%
1 23
 
8.1%
0 11
 
3.9%
3 9
 
3.2%
5 8
 
2.8%
4 7
 
2.5%
9 7
 
2.5%
8 6
 
2.1%
Other values (6) 18
 
6.4%

허가구역평일운영시작시각
Categorical

Distinct22
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
09:00
121 
00:00
112 
10:00
76 
11:00
17 
08:00
 
9
Other values (17)
51 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique7 ?
Unique (%)1.8%

Sample

1st row09:00
2nd row09:00
3rd row09:30
4th row11:30
5th row09:00

Common Values

ValueCountFrequency (%)
09:00 121
31.3%
00:00 112
29.0%
10:00 76
19.7%
11:00 17
 
4.4%
08:00 9
 
2.3%
00:01 9
 
2.3%
12:00 9
 
2.3%
11:30 6
 
1.6%
09:30 5
 
1.3%
16:00 3
 
0.8%
Other values (12) 19
 
4.9%

Length

2024-05-18T18:27:30.836075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
09:00 121
31.3%
00:00 112
29.0%
10:00 76
19.7%
11:00 17
 
4.4%
08:00 9
 
2.3%
00:01 9
 
2.3%
12:00 9
 
2.3%
11:30 6
 
1.6%
09:30 5
 
1.3%
18:00 3
 
0.8%
Other values (12) 19
 
4.9%

허가구역평일운영종료시각
Categorical

Distinct15
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
23:59
94 
18:00
67 
20:00
65 
19:00
44 
00:00
35 
Other values (10)
81 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row18:00
2nd row18:00
3rd row18:00
4th row22:00
5th row19:00

Common Values

ValueCountFrequency (%)
23:59 94
24.4%
18:00 67
17.4%
20:00 65
16.8%
19:00 44
11.4%
00:00 35
 
9.1%
22:00 24
 
6.2%
21:00 24
 
6.2%
17:00 10
 
2.6%
23:00 9
 
2.3%
17:30 4
 
1.0%
Other values (5) 10
 
2.6%

Length

2024-05-18T18:27:31.354516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23:59 94
24.4%
18:00 67
17.4%
20:00 65
16.8%
19:00 44
11.4%
00:00 35
 
9.1%
22:00 24
 
6.2%
21:00 24
 
6.2%
17:00 10
 
2.6%
23:00 9
 
2.3%
17:30 4
 
1.0%
Other values (5) 10
 
2.6%

허가구역주말운영시작시각
Categorical

Distinct20
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
00:00
134 
09:00
112 
10:00
73 
11:00
 
13
12:00
 
9
Other values (15)
45 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique5 ?
Unique (%)1.3%

Sample

1st row09:00
2nd row09:00
3rd row09:30
4th row11:30
5th row09:00

Common Values

ValueCountFrequency (%)
00:00 134
34.7%
09:00 112
29.0%
10:00 73
18.9%
11:00 13
 
3.4%
12:00 9
 
2.3%
00:01 9
 
2.3%
08:00 7
 
1.8%
11:30 6
 
1.6%
09:30 5
 
1.3%
08:30 3
 
0.8%
Other values (10) 15
 
3.9%

Length

2024-05-18T18:27:31.823645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
00:00 134
34.7%
09:00 112
29.0%
10:00 73
18.9%
11:00 13
 
3.4%
12:00 9
 
2.3%
00:01 9
 
2.3%
08:00 7
 
1.8%
11:30 6
 
1.6%
09:30 5
 
1.3%
08:30 3
 
0.8%
Other values (10) 15
 
3.9%

허가구역주말운영종료시각
Categorical

Distinct14
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
23:59
96 
18:00
62 
00:00
58 
20:00
58 
19:00
43 
Other values (9)
69 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique3 ?
Unique (%)0.8%

Sample

1st row18:00
2nd row18:00
3rd row18:00
4th row22:00
5th row19:00

Common Values

ValueCountFrequency (%)
23:59 96
24.9%
18:00 62
16.1%
00:00 58
15.0%
20:00 58
15.0%
19:00 43
11.1%
22:00 23
 
6.0%
21:00 21
 
5.4%
23:00 9
 
2.3%
17:00 7
 
1.8%
17:30 4
 
1.0%
Other values (4) 5
 
1.3%

Length

2024-05-18T18:27:32.393070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23:59 96
24.9%
18:00 62
16.1%
00:00 58
15.0%
20:00 58
15.0%
19:00 43
11.1%
22:00 23
 
6.0%
21:00 21
 
5.4%
23:00 9
 
2.3%
17:00 7
 
1.8%
17:30 4
 
1.0%
Other values (4) 5
 
1.3%

1월운영시작시각
Categorical

IMBALANCE 

Distinct14
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
241 
09:00
66 
00:00
 
23
10:00
 
22
11:00
 
10
Other values (9)
 
24

Length

Max length5
Median length4
Mean length4.3756477
Min length4

Unique

Unique5 ?
Unique (%)1.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row11:30
5th row09:00

Common Values

ValueCountFrequency (%)
<NA> 241
62.4%
09:00 66
 
17.1%
00:00 23
 
6.0%
10:00 22
 
5.7%
11:00 10
 
2.6%
12:00 7
 
1.8%
11:30 6
 
1.6%
08:00 4
 
1.0%
13:30 2
 
0.5%
13:00 1
 
0.3%
Other values (4) 4
 
1.0%

Length

2024-05-18T18:27:32.887383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 241
62.4%
09:00 66
 
17.1%
00:00 23
 
6.0%
10:00 22
 
5.7%
11:00 10
 
2.6%
12:00 7
 
1.8%
11:30 6
 
1.6%
08:00 4
 
1.0%
13:30 2
 
0.5%
13:00 1
 
0.3%
Other values (4) 4
 
1.0%

1월운영종료시각
Categorical

Distinct11
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
242 
18:00
25 
19:00
 
22
20:00
 
22
17:00
 
18
Other values (6)
57 

Length

Max length5
Median length4
Mean length4.373057
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row22:00
5th row19:00

Common Values

ValueCountFrequency (%)
<NA> 242
62.7%
18:00 25
 
6.5%
19:00 22
 
5.7%
20:00 22
 
5.7%
17:00 18
 
4.7%
23:59 16
 
4.1%
21:00 13
 
3.4%
22:00 10
 
2.6%
00:00 9
 
2.3%
23:00 7
 
1.8%

Length

2024-05-18T18:27:33.268406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 242
62.7%
18:00 25
 
6.5%
19:00 22
 
5.7%
20:00 22
 
5.7%
17:00 18
 
4.7%
23:59 16
 
4.1%
21:00 13
 
3.4%
22:00 10
 
2.6%
00:00 9
 
2.3%
23:00 7
 
1.8%

2월운영시작시각
Categorical

Distinct13
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
242 
09:00
66 
00:00
 
23
10:00
 
22
11:00
 
10
Other values (8)
 
23

Length

Max length5
Median length4
Mean length4.373057
Min length4

Unique

Unique4 ?
Unique (%)1.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row11:30
5th row09:00

Common Values

ValueCountFrequency (%)
<NA> 242
62.7%
09:00 66
 
17.1%
00:00 23
 
6.0%
10:00 22
 
5.7%
11:00 10
 
2.6%
12:00 7
 
1.8%
11:30 6
 
1.6%
08:00 4
 
1.0%
13:30 2
 
0.5%
13:00 1
 
0.3%
Other values (3) 3
 
0.8%

Length

2024-05-18T18:27:33.632271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 242
62.7%
09:00 66
 
17.1%
00:00 23
 
6.0%
10:00 22
 
5.7%
11:00 10
 
2.6%
12:00 7
 
1.8%
11:30 6
 
1.6%
08:00 4
 
1.0%
13:30 2
 
0.5%
13:00 1
 
0.3%
Other values (3) 3
 
0.8%

2월운영종료시각
Categorical

Distinct11
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
242 
18:00
25 
19:00
 
22
20:00
 
22
17:00
 
18
Other values (6)
57 

Length

Max length5
Median length4
Mean length4.373057
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row22:00
5th row19:00

Common Values

ValueCountFrequency (%)
<NA> 242
62.7%
18:00 25
 
6.5%
19:00 22
 
5.7%
20:00 22
 
5.7%
17:00 18
 
4.7%
23:59 16
 
4.1%
21:00 13
 
3.4%
22:00 10
 
2.6%
00:00 9
 
2.3%
23:00 7
 
1.8%

Length

2024-05-18T18:27:34.036227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 242
62.7%
18:00 25
 
6.5%
19:00 22
 
5.7%
20:00 22
 
5.7%
17:00 18
 
4.7%
23:59 16
 
4.1%
21:00 13
 
3.4%
22:00 10
 
2.6%
00:00 9
 
2.3%
23:00 7
 
1.8%

3월운영시작시각
Categorical

Distinct13
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
241 
09:00
66 
10:00
 
23
00:00
 
21
11:00
 
11
Other values (8)
 
24

Length

Max length5
Median length4
Mean length4.3756477
Min length4

Unique

Unique2 ?
Unique (%)0.5%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row11:30
5th row09:00

Common Values

ValueCountFrequency (%)
<NA> 241
62.4%
09:00 66
 
17.1%
10:00 23
 
6.0%
00:00 21
 
5.4%
11:00 11
 
2.8%
12:00 7
 
1.8%
11:30 6
 
1.6%
08:00 3
 
0.8%
18:00 2
 
0.5%
07:00 2
 
0.5%
Other values (3) 4
 
1.0%

Length

2024-05-18T18:27:34.577289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 241
62.4%
09:00 66
 
17.1%
10:00 23
 
6.0%
00:00 21
 
5.4%
11:00 11
 
2.8%
12:00 7
 
1.8%
11:30 6
 
1.6%
08:00 3
 
0.8%
18:00 2
 
0.5%
07:00 2
 
0.5%
Other values (3) 4
 
1.0%

3월운영종료시각
Categorical

Distinct12
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
241 
18:00
28 
19:00
 
23
20:00
 
19
23:59
 
16
Other values (7)
59 

Length

Max length5
Median length4
Mean length4.3756477
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row22:00
5th row19:00

Common Values

ValueCountFrequency (%)
<NA> 241
62.4%
18:00 28
 
7.3%
19:00 23
 
6.0%
20:00 19
 
4.9%
23:59 16
 
4.1%
22:00 15
 
3.9%
21:00 14
 
3.6%
17:00 12
 
3.1%
23:00 8
 
2.1%
00:00 7
 
1.8%
Other values (2) 3
 
0.8%

Length

2024-05-18T18:27:34.985611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 241
62.4%
18:00 28
 
7.3%
19:00 23
 
6.0%
20:00 19
 
4.9%
23:59 16
 
4.1%
22:00 15
 
3.9%
21:00 14
 
3.6%
17:00 12
 
3.1%
23:00 8
 
2.1%
00:00 7
 
1.8%
Other values (2) 3
 
0.8%

4월운영시작시각
Categorical

Distinct13
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
241 
09:00
63 
10:00
 
24
00:00
 
20
11:00
 
12
Other values (8)
26 

Length

Max length5
Median length4
Mean length4.3756477
Min length4

Unique

Unique2 ?
Unique (%)0.5%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row11:30
5th row09:00

Common Values

ValueCountFrequency (%)
<NA> 241
62.4%
09:00 63
 
16.3%
10:00 24
 
6.2%
00:00 20
 
5.2%
11:00 12
 
3.1%
12:00 7
 
1.8%
11:30 6
 
1.6%
08:00 5
 
1.3%
18:00 2
 
0.5%
07:00 2
 
0.5%
Other values (3) 4
 
1.0%

Length

2024-05-18T18:27:35.422365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 241
62.4%
09:00 63
 
16.3%
10:00 24
 
6.2%
00:00 20
 
5.2%
11:00 12
 
3.1%
12:00 7
 
1.8%
11:30 6
 
1.6%
08:00 5
 
1.3%
18:00 2
 
0.5%
07:00 2
 
0.5%
Other values (3) 4
 
1.0%

4월운영종료시각
Categorical

Distinct13
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
241 
18:00
31 
19:00
 
24
20:00
 
20
23:59
 
16
Other values (8)
54 

Length

Max length5
Median length4
Mean length4.3756477
Min length4

Unique

Unique2 ?
Unique (%)0.5%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row22:00
5th row19:00

Common Values

ValueCountFrequency (%)
<NA> 241
62.4%
18:00 31
 
8.0%
19:00 24
 
6.2%
20:00 20
 
5.2%
23:59 16
 
4.1%
22:00 15
 
3.9%
21:00 14
 
3.6%
23:00 8
 
2.1%
17:00 7
 
1.8%
00:00 6
 
1.6%
Other values (3) 4
 
1.0%

Length

2024-05-18T18:27:35.897271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 241
62.4%
18:00 31
 
8.0%
19:00 24
 
6.2%
20:00 20
 
5.2%
23:59 16
 
4.1%
22:00 15
 
3.9%
21:00 14
 
3.6%
23:00 8
 
2.1%
17:00 7
 
1.8%
00:00 6
 
1.6%
Other values (3) 4
 
1.0%

5월운영시작시각
Categorical

Distinct13
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
239 
09:00
63 
10:00
25 
00:00
 
20
11:00
 
13
Other values (8)
26 

Length

Max length5
Median length4
Mean length4.380829
Min length4

Unique

Unique2 ?
Unique (%)0.5%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row11:30
5th row09:00

Common Values

ValueCountFrequency (%)
<NA> 239
61.9%
09:00 63
 
16.3%
10:00 25
 
6.5%
00:00 20
 
5.2%
11:00 13
 
3.4%
12:00 7
 
1.8%
11:30 6
 
1.6%
08:00 5
 
1.3%
18:00 2
 
0.5%
07:00 2
 
0.5%
Other values (3) 4
 
1.0%

Length

2024-05-18T18:27:36.397316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 239
61.9%
09:00 63
 
16.3%
10:00 25
 
6.5%
00:00 20
 
5.2%
11:00 13
 
3.4%
12:00 7
 
1.8%
11:30 6
 
1.6%
08:00 5
 
1.3%
18:00 2
 
0.5%
07:00 2
 
0.5%
Other values (3) 4
 
1.0%

5월운영종료시각
Categorical

Distinct13
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
239 
18:00
31 
19:00
24 
20:00
 
20
22:00
 
16
Other values (8)
56 

Length

Max length5
Median length4
Mean length4.380829
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row22:00
5th row19:00

Common Values

ValueCountFrequency (%)
<NA> 239
61.9%
18:00 31
 
8.0%
19:00 24
 
6.2%
20:00 20
 
5.2%
22:00 16
 
4.1%
23:59 16
 
4.1%
21:00 14
 
3.6%
23:00 8
 
2.1%
17:00 7
 
1.8%
00:00 6
 
1.6%
Other values (3) 5
 
1.3%

Length

2024-05-18T18:27:36.953600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 239
61.9%
18:00 31
 
8.0%
19:00 24
 
6.2%
20:00 20
 
5.2%
22:00 16
 
4.1%
23:59 16
 
4.1%
21:00 14
 
3.6%
23:00 8
 
2.1%
17:00 7
 
1.8%
00:00 6
 
1.6%
Other values (3) 5
 
1.3%

6월운영시작시각
Categorical

Distinct12
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
241 
09:00
63 
10:00
25 
00:00
 
21
11:00
 
11
Other values (7)
25 

Length

Max length5
Median length4
Mean length4.3756477
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row11:30
5th row09:00

Common Values

ValueCountFrequency (%)
<NA> 241
62.4%
09:00 63
 
16.3%
10:00 25
 
6.5%
00:00 21
 
5.4%
11:00 11
 
2.8%
12:00 7
 
1.8%
11:30 6
 
1.6%
08:00 5
 
1.3%
18:00 2
 
0.5%
07:00 2
 
0.5%
Other values (2) 3
 
0.8%

Length

2024-05-18T18:27:37.385540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 241
62.4%
09:00 63
 
16.3%
10:00 25
 
6.5%
00:00 21
 
5.4%
11:00 11
 
2.8%
12:00 7
 
1.8%
11:30 6
 
1.6%
08:00 5
 
1.3%
18:00 2
 
0.5%
07:00 2
 
0.5%
Other values (2) 3
 
0.8%

6월운영종료시각
Categorical

Distinct12
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
241 
18:00
28 
19:00
27 
20:00
 
19
23:59
 
16
Other values (7)
55 

Length

Max length5
Median length4
Mean length4.3756477
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row22:00
5th row19:00

Common Values

ValueCountFrequency (%)
<NA> 241
62.4%
18:00 28
 
7.3%
19:00 27
 
7.0%
20:00 19
 
4.9%
23:59 16
 
4.1%
22:00 15
 
3.9%
21:00 15
 
3.9%
23:00 8
 
2.1%
17:00 7
 
1.8%
00:00 7
 
1.8%
Other values (2) 3
 
0.8%

Length

2024-05-18T18:27:37.854449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 241
62.4%
18:00 28
 
7.3%
19:00 27
 
7.0%
20:00 19
 
4.9%
23:59 16
 
4.1%
22:00 15
 
3.9%
21:00 15
 
3.9%
23:00 8
 
2.1%
17:00 7
 
1.8%
00:00 7
 
1.8%
Other values (2) 3
 
0.8%

7월운영시작시각
Categorical

Distinct12
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
242 
09:00
63 
10:00
25 
00:00
 
21
11:00
 
10
Other values (7)
25 

Length

Max length5
Median length4
Mean length4.373057
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row11:30
5th row09:00

Common Values

ValueCountFrequency (%)
<NA> 242
62.7%
09:00 63
 
16.3%
10:00 25
 
6.5%
00:00 21
 
5.4%
11:00 10
 
2.6%
12:00 7
 
1.8%
11:30 6
 
1.6%
08:00 5
 
1.3%
18:00 2
 
0.5%
07:00 2
 
0.5%
Other values (2) 3
 
0.8%

Length

2024-05-18T18:27:38.316095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 242
62.7%
09:00 63
 
16.3%
10:00 25
 
6.5%
00:00 21
 
5.4%
11:00 10
 
2.6%
12:00 7
 
1.8%
11:30 6
 
1.6%
08:00 5
 
1.3%
18:00 2
 
0.5%
07:00 2
 
0.5%
Other values (2) 3
 
0.8%

7월운영종료시각
Categorical

Distinct12
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
242 
18:00
28 
19:00
27 
20:00
 
19
22:00
 
15
Other values (7)
55 

Length

Max length5
Median length4
Mean length4.373057
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row22:00
5th row19:00

Common Values

ValueCountFrequency (%)
<NA> 242
62.7%
18:00 28
 
7.3%
19:00 27
 
7.0%
20:00 19
 
4.9%
22:00 15
 
3.9%
21:00 15
 
3.9%
23:59 15
 
3.9%
23:00 8
 
2.1%
17:00 7
 
1.8%
00:00 7
 
1.8%
Other values (2) 3
 
0.8%

Length

2024-05-18T18:27:38.755167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 242
62.7%
18:00 28
 
7.3%
19:00 27
 
7.0%
20:00 19
 
4.9%
22:00 15
 
3.9%
21:00 15
 
3.9%
23:59 15
 
3.9%
23:00 8
 
2.1%
17:00 7
 
1.8%
00:00 7
 
1.8%
Other values (2) 3
 
0.8%

8월운영시작시각
Categorical

Distinct12
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
241 
09:00
63 
10:00
26 
00:00
 
20
11:00
 
11
Other values (7)
25 

Length

Max length5
Median length4
Mean length4.3756477
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row11:30
5th row09:00

Common Values

ValueCountFrequency (%)
<NA> 241
62.4%
09:00 63
 
16.3%
10:00 26
 
6.7%
00:00 20
 
5.2%
11:00 11
 
2.8%
12:00 7
 
1.8%
11:30 6
 
1.6%
08:00 5
 
1.3%
18:00 2
 
0.5%
07:00 2
 
0.5%
Other values (2) 3
 
0.8%

Length

2024-05-18T18:27:39.335607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 241
62.4%
09:00 63
 
16.3%
10:00 26
 
6.7%
00:00 20
 
5.2%
11:00 11
 
2.8%
12:00 7
 
1.8%
11:30 6
 
1.6%
08:00 5
 
1.3%
18:00 2
 
0.5%
07:00 2
 
0.5%
Other values (2) 3
 
0.8%

8월운영종료시각
Categorical

Distinct12
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
241 
18:00
29 
19:00
27 
20:00
 
19
23:59
 
16
Other values (7)
54 

Length

Max length5
Median length4
Mean length4.3756477
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row22:00
5th row19:00

Common Values

ValueCountFrequency (%)
<NA> 241
62.4%
18:00 29
 
7.5%
19:00 27
 
7.0%
20:00 19
 
4.9%
23:59 16
 
4.1%
22:00 15
 
3.9%
21:00 15
 
3.9%
23:00 8
 
2.1%
17:00 7
 
1.8%
00:00 6
 
1.6%
Other values (2) 3
 
0.8%

Length

2024-05-18T18:27:39.776771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 241
62.4%
18:00 29
 
7.5%
19:00 27
 
7.0%
20:00 19
 
4.9%
23:59 16
 
4.1%
22:00 15
 
3.9%
21:00 15
 
3.9%
23:00 8
 
2.1%
17:00 7
 
1.8%
00:00 6
 
1.6%
Other values (2) 3
 
0.8%

9월운영시작시각
Categorical

Distinct12
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
241 
09:00
63 
10:00
 
24
00:00
 
22
11:00
 
11
Other values (7)
25 

Length

Max length5
Median length4
Mean length4.3756477
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row11:30
5th row09:00

Common Values

ValueCountFrequency (%)
<NA> 241
62.4%
09:00 63
 
16.3%
10:00 24
 
6.2%
00:00 22
 
5.7%
11:00 11
 
2.8%
12:00 7
 
1.8%
11:30 6
 
1.6%
08:00 5
 
1.3%
18:00 2
 
0.5%
07:00 2
 
0.5%
Other values (2) 3
 
0.8%

Length

2024-05-18T18:27:40.245948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 241
62.4%
09:00 63
 
16.3%
10:00 24
 
6.2%
00:00 22
 
5.7%
11:00 11
 
2.8%
12:00 7
 
1.8%
11:30 6
 
1.6%
08:00 5
 
1.3%
18:00 2
 
0.5%
07:00 2
 
0.5%
Other values (2) 3
 
0.8%

9월운영종료시각
Categorical

Distinct12
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
241 
19:00
27 
18:00
27 
20:00
 
19
23:59
 
16
Other values (7)
56 

Length

Max length5
Median length4
Mean length4.3756477
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row22:00
5th row19:00

Common Values

ValueCountFrequency (%)
<NA> 241
62.4%
19:00 27
 
7.0%
18:00 27
 
7.0%
20:00 19
 
4.9%
23:59 16
 
4.1%
22:00 15
 
3.9%
21:00 15
 
3.9%
00:00 8
 
2.1%
23:00 8
 
2.1%
17:00 7
 
1.8%
Other values (2) 3
 
0.8%

Length

2024-05-18T18:27:41.195325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 241
62.4%
19:00 27
 
7.0%
18:00 27
 
7.0%
20:00 19
 
4.9%
23:59 16
 
4.1%
22:00 15
 
3.9%
21:00 15
 
3.9%
00:00 8
 
2.1%
23:00 8
 
2.1%
17:00 7
 
1.8%
Other values (2) 3
 
0.8%

10월운영시작시각
Categorical

Distinct13
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
240 
09:00
63 
10:00
25 
00:00
 
21
11:00
 
11
Other values (8)
26 

Length

Max length5
Median length4
Mean length4.3782383
Min length4

Unique

Unique3 ?
Unique (%)0.8%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row11:30
5th row09:00

Common Values

ValueCountFrequency (%)
<NA> 240
62.2%
09:00 63
 
16.3%
10:00 25
 
6.5%
00:00 21
 
5.4%
11:00 11
 
2.8%
12:00 7
 
1.8%
11:30 6
 
1.6%
08:00 6
 
1.6%
18:00 2
 
0.5%
13:30 2
 
0.5%
Other values (3) 3
 
0.8%

Length

2024-05-18T18:27:41.703974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 240
62.2%
09:00 63
 
16.3%
10:00 25
 
6.5%
00:00 21
 
5.4%
11:00 11
 
2.8%
12:00 7
 
1.8%
11:30 6
 
1.6%
08:00 6
 
1.6%
18:00 2
 
0.5%
13:30 2
 
0.5%
Other values (3) 3
 
0.8%

10월운영종료시각
Categorical

Distinct12
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
240 
18:00
31 
19:00
25 
20:00
 
18
22:00
 
17
Other values (7)
55 

Length

Max length5
Median length4
Mean length4.3782383
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row22:00
5th row19:00

Common Values

ValueCountFrequency (%)
<NA> 240
62.2%
18:00 31
 
8.0%
19:00 25
 
6.5%
20:00 18
 
4.7%
22:00 17
 
4.4%
23:59 16
 
4.1%
21:00 14
 
3.6%
23:00 8
 
2.1%
00:00 7
 
1.8%
17:00 7
 
1.8%
Other values (2) 3
 
0.8%

Length

2024-05-18T18:27:42.253850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 240
62.2%
18:00 31
 
8.0%
19:00 25
 
6.5%
20:00 18
 
4.7%
22:00 17
 
4.4%
23:59 16
 
4.1%
21:00 14
 
3.6%
23:00 8
 
2.1%
00:00 7
 
1.8%
17:00 7
 
1.8%
Other values (2) 3
 
0.8%

11월운영시작시각
Categorical

Distinct13
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
241 
09:00
66 
10:00
 
23
00:00
 
21
11:00
 
11
Other values (8)
 
24

Length

Max length5
Median length4
Mean length4.3756477
Min length4

Unique

Unique3 ?
Unique (%)0.8%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row11:30
5th row09:00

Common Values

ValueCountFrequency (%)
<NA> 241
62.4%
09:00 66
 
17.1%
10:00 23
 
6.0%
00:00 21
 
5.4%
11:00 11
 
2.8%
12:00 7
 
1.8%
11:30 6
 
1.6%
08:00 4
 
1.0%
18:00 2
 
0.5%
13:30 2
 
0.5%
Other values (3) 3
 
0.8%

Length

2024-05-18T18:27:42.684729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 241
62.4%
09:00 66
 
17.1%
10:00 23
 
6.0%
00:00 21
 
5.4%
11:00 11
 
2.8%
12:00 7
 
1.8%
11:30 6
 
1.6%
08:00 4
 
1.0%
18:00 2
 
0.5%
13:30 2
 
0.5%
Other values (3) 3
 
0.8%

11월운영종료시각
Categorical

Distinct12
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
241 
18:00
29 
19:00
 
23
20:00
 
17
23:59
 
16
Other values (7)
60 

Length

Max length5
Median length4
Mean length4.3756477
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row22:00
5th row19:00

Common Values

ValueCountFrequency (%)
<NA> 241
62.4%
18:00 29
 
7.5%
19:00 23
 
6.0%
20:00 17
 
4.4%
23:59 16
 
4.1%
21:00 15
 
3.9%
22:00 14
 
3.6%
17:00 13
 
3.4%
23:00 8
 
2.1%
00:00 7
 
1.8%
Other values (2) 3
 
0.8%

Length

2024-05-18T18:27:43.205518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 241
62.4%
18:00 29
 
7.5%
19:00 23
 
6.0%
20:00 17
 
4.4%
23:59 16
 
4.1%
21:00 15
 
3.9%
22:00 14
 
3.6%
17:00 13
 
3.4%
23:00 8
 
2.1%
00:00 7
 
1.8%
Other values (2) 3
 
0.8%

12월운영시작시각
Categorical

Distinct12
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
241 
09:00
66 
00:00
 
23
10:00
 
23
11:00
 
11
Other values (7)
 
22

Length

Max length5
Median length4
Mean length4.3756477
Min length4

Unique

Unique3 ?
Unique (%)0.8%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row11:30
5th row09:00

Common Values

ValueCountFrequency (%)
<NA> 241
62.4%
09:00 66
 
17.1%
00:00 23
 
6.0%
10:00 23
 
6.0%
11:00 11
 
2.8%
12:00 7
 
1.8%
11:30 6
 
1.6%
08:00 4
 
1.0%
13:30 2
 
0.5%
13:00 1
 
0.3%
Other values (2) 2
 
0.5%

Length

2024-05-18T18:27:43.709878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 241
62.4%
09:00 66
 
17.1%
00:00 23
 
6.0%
10:00 23
 
6.0%
11:00 11
 
2.8%
12:00 7
 
1.8%
11:30 6
 
1.6%
08:00 4
 
1.0%
13:30 2
 
0.5%
13:00 1
 
0.3%
Other values (2) 2
 
0.5%

12월운영종료시각
Categorical

Distinct12
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
241 
18:00
29 
19:00
 
23
20:00
 
21
23:59
 
15
Other values (7)
57 

Length

Max length5
Median length4
Mean length4.3756477
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row22:00
5th row19:00

Common Values

ValueCountFrequency (%)
<NA> 241
62.4%
18:00 29
 
7.5%
19:00 23
 
6.0%
20:00 21
 
5.4%
23:59 15
 
3.9%
17:00 14
 
3.6%
21:00 13
 
3.4%
22:00 10
 
2.6%
00:00 10
 
2.6%
23:00 7
 
1.8%
Other values (2) 3
 
0.8%

Length

2024-05-18T18:27:44.274073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 241
62.4%
18:00 29
 
7.5%
19:00 23
 
6.0%
20:00 21
 
5.4%
23:59 15
 
3.9%
17:00 14
 
3.6%
21:00 13
 
3.4%
22:00 10
 
2.6%
00:00 10
 
2.6%
23:00 7
 
1.8%
Other values (2) 3
 
0.8%

판매제한품목
Categorical

IMBALANCE 

Distinct17
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
285 
주류
65 
술
 
8
담배+주류
 
5
주류+담배
 
5
Other values (12)
 
18

Length

Max length56
Median length4
Mean length3.8549223
Min length1

Unique

Unique10 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 285
73.8%
주류 65
 
16.8%
술 8
 
2.1%
담배+주류 5
 
1.3%
주류+담배 5
 
1.3%
식품외품목 4
 
1.0%
허가품목 외 4
 
1.0%
치킨 외 1
 
0.3%
스낵류 1
 
0.3%
주류(음주행위제한) 1
 
0.3%
Other values (7) 7
 
1.8%

Length

2024-05-18T18:27:44.828456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 285
70.0%
주류 65
 
16.0%
술 8
 
2.0%
외 6
 
1.5%
담배+주류 5
 
1.2%
주류+담배 5
 
1.2%
식품외품목 4
 
1.0%
허가품목 4
 
1.0%
없음 2
 
0.5%
같은 1
 
0.2%
Other values (22) 22
 
5.4%

관리기관명
Text

Distinct122
Distinct (%)31.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-05-18T18:27:45.460649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length10.015544
Min length3

Characters and Unicode

Total characters3866
Distinct characters140
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

Unique52 ?
Unique (%)13.5%

Sample

1st row강원도 춘천시 춘천시청
2nd row강원도 춘천시 춘천시청
3rd row대전광역시 중구청 위생과
4th row서울특별시 강남구청
5th row평창군
ValueCountFrequency (%)
경기도 74
 
9.0%
충청남도 41
 
5.0%
경상남도 35
 
4.3%
충청북도 34
 
4.1%
청주시 30
 
3.6%
강원특별자치도 28
 
3.4%
광주시청 22
 
2.7%
흥덕구청 19
 
2.3%
강원도 18
 
2.2%
제주특별자치도 17
 
2.1%
Other values (139) 505
61.4%
2024-05-18T18:27:47.045763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
437
 
11.3%
청 380
 
9.8%
도 291
 
7.5%
시 255
 
6.6%
군 143
 
3.7%
경 137
 
3.5%
구 119
 
3.1%
남 109
 
2.8%
주 98
 
2.5%
충 78
 
2.0%
Other values (130) 1819
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3414
88.3%
Space Separator 437
 
11.3%
Close Punctuation 7
 
0.2%
Open Punctuation 7
 
0.2%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 380
 
11.1%
도 291
 
8.5%
시 255
 
7.5%
군 143
 
4.2%
경 137
 
4.0%
구 119
 
3.5%
남 109
 
3.2%
주 98
 
2.9%
충 78
 
2.3%
기 74
 
2.2%
Other values (126) 1730
50.7%
Space Separator
ValueCountFrequency (%)
437
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3414
88.3%
Common 452
 
11.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 380
 
11.1%
도 291
 
8.5%
시 255
 
7.5%
군 143
 
4.2%
경 137
 
4.0%
구 119
 
3.5%
남 109
 
3.2%
주 98
 
2.9%
충 78
 
2.3%
기 74
 
2.2%
Other values (126) 1730
50.7%
Common
ValueCountFrequency (%)
437
96.7%
) 7
 
1.5%
( 7
 
1.5%
1 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3414
88.3%
ASCII 452
 
11.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
437
96.7%
) 7
 
1.5%
( 7
 
1.5%
1 1
 
0.2%
Hangul
ValueCountFrequency (%)
청 380
 
11.1%
도 291
 
8.5%
시 255
 
7.5%
군 143
 
4.2%
경 137
 
4.0%
구 119
 
3.5%
남 109
 
3.2%
주 98
 
2.9%
충 78
 
2.3%
기 74
 
2.2%
Other values (126) 1730
50.7%

관리기관전화번호
Text

Distinct127
Distinct (%)32.9%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-05-18T18:27:47.881489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.028497
Min length11

Characters and Unicode

Total characters4643
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

Unique62 ?
Unique (%)16.1%

Sample

1st row033-250-3323
2nd row033-250-3323
3rd row042-606-6106
4th row02-3423-6532
5th row033-330-2314
ValueCountFrequency (%)
043-201-1972 30
 
7.8%
031-760-5939 22
 
5.7%
033-330-2314 16
 
4.1%
064-760-2424 14
 
3.6%
033-680-3954 12
 
3.1%
041-830-8634 10
 
2.6%
041-521-6322 9
 
2.3%
041-339-7482 9
 
2.3%
031-345-2821 8
 
2.1%
055-392-2823 8
 
2.1%
Other values (117) 248
64.2%
2024-05-18T18:27:49.297947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 772
16.6%
3 721
15.5%
0 679
14.6%
2 466
10.0%
4 404
8.7%
5 389
8.4%
1 343
7.4%
6 280
 
6.0%
9 200
 
4.3%
8 197
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3871
83.4%
Dash Punctuation 772
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 721
18.6%
0 679
17.5%
2 466
12.0%
4 404
10.4%
5 389
10.0%
1 343
8.9%
6 280
 
7.2%
9 200
 
5.2%
8 197
 
5.1%
7 192
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 772
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4643
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 772
16.6%
3 721
15.5%
0 679
14.6%
2 466
10.0%
4 404
8.7%
5 389
8.4%
1 343
7.4%
6 280
 
6.0%
9 200
 
4.3%
8 197
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4643
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 772
16.6%
3 721
15.5%
0 679
14.6%
2 466
10.0%
4 404
8.7%
5 389
8.4%
1 343
7.4%
6 280
 
6.0%
9 200
 
4.3%
8 197
 
4.2%

데이터기준일자
Date

Distinct92
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum2020-01-01 00:00:00
Maximum2024-04-29 00:00:00
2024-05-18T18:27:49.779313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T18:27:50.185545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제공기관코드
Text

Distinct117
Distinct (%)30.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-05-18T18:27:50.948793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters2702
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

Unique47 ?
Unique (%)12.2%

Sample

1st row4180000
2nd row4180000
3rd row3650000
4th row3220000
5th row4280000
ValueCountFrequency (%)
5710000 30
 
7.8%
5540000 22
 
5.7%
6520000 14
 
3.6%
4490000 11
 
2.8%
4570000 10
 
2.6%
4610000 9
 
2.3%
4281000 8
 
2.1%
4030000 8
 
2.1%
5380000 8
 
2.1%
4280000 8
 
2.1%
Other values (107) 258
66.8%
2024-05-18T18:27:52.048767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1540
57.0%
4 261
 
9.7%
5 237
 
8.8%
3 167
 
6.2%
1 134
 
5.0%
2 95
 
3.5%
7 79
 
2.9%
8 78
 
2.9%
6 62
 
2.3%
9 48
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2701
> 99.9%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1540
57.0%
4 261
 
9.7%
5 237
 
8.8%
3 167
 
6.2%
1 134
 
5.0%
2 95
 
3.5%
7 79
 
2.9%
8 78
 
2.9%
6 62
 
2.3%
9 48
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2701
> 99.9%
Latin 1
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1540
57.0%
4 261
 
9.7%
5 237
 
8.8%
3 167
 
6.2%
1 134
 
5.0%
2 95
 
3.5%
7 79
 
2.9%
8 78
 
2.9%
6 62
 
2.3%
9 48
 
1.8%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2702
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1540
57.0%
4 261
 
9.7%
5 237
 
8.8%
3 167
 
6.2%
1 134
 
5.0%
2 95
 
3.5%
7 79
 
2.9%
8 78
 
2.9%
6 62
 
2.3%
9 48
 
1.8%

제공기관명
Text

Distinct117
Distinct (%)30.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-05-18T18:27:52.586972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length8.3341969
Min length7

Characters and Unicode

Total characters3217
Distinct characters92
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

Unique47 ?
Unique (%)12.2%

Sample

1st row강원도 춘천시
2nd row강원도 춘천시
3rd row대전광역시 중구
4th row서울특별시 강남구
5th row강원도 평창군
ValueCountFrequency (%)
경기도 78
 
10.1%
경상남도 47
 
6.1%
충청남도 44
 
5.7%
충청북도 34
 
4.4%
강원특별자치도 32
 
4.2%
청주시 30
 
3.9%
강원도 27
 
3.5%
광주시 22
 
2.9%
전라남도 17
 
2.2%
서울특별시 17
 
2.2%
Other values (107) 423
54.9%
2024-05-18T18:27:53.459153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
385
 
12.0%
도 324
 
10.1%
시 251
 
7.8%
군 143
 
4.4%
경 139
 
4.3%
남 122
 
3.8%
청 113
 
3.5%
주 97
 
3.0%
충 79
 
2.5%
기 78
 
2.4%
Other values (82) 1486
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2832
88.0%
Space Separator 385
 
12.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 324
 
11.4%
시 251
 
8.9%
군 143
 
5.0%
경 139
 
4.9%
남 122
 
4.3%
청 113
 
4.0%
주 97
 
3.4%
충 79
 
2.8%
기 78
 
2.8%
구 77
 
2.7%
Other values (81) 1409
49.8%
Space Separator
ValueCountFrequency (%)
385
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2832
88.0%
Common 385
 
12.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 324
 
11.4%
시 251
 
8.9%
군 143
 
5.0%
경 139
 
4.9%
남 122
 
4.3%
청 113
 
4.0%
주 97
 
3.4%
충 79
 
2.8%
기 78
 
2.8%
구 77
 
2.7%
Other values (81) 1409
49.8%
Common
ValueCountFrequency (%)
385
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2832
88.0%
ASCII 385
 
12.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
385
100.0%
Hangul
ValueCountFrequency (%)
도 324
 
11.4%
시 251
 
8.9%
군 143
 
5.0%
경 139
 
4.9%
남 122
 
4.3%
청 113
 
4.0%
주 97
 
3.4%
충 79
 
2.8%
기 78
 
2.8%
구 77
 
2.7%
Other values (81) 1409
49.8%

Sample

허가구역명장소유형시도명시군구명소재지도로명주소소재지지번주소위도경도푸드트럭운영대수허가구역사용료허가구역운영시작일자허가구역운영종료일자허가구역휴무일허가구역평일운영시작시각허가구역평일운영종료시각허가구역주말운영시작시각허가구역주말운영종료시각1월운영시작시각1월운영종료시각2월운영시작시각2월운영종료시각3월운영시작시각3월운영종료시각4월운영시작시각4월운영종료시각5월운영시작시각5월운영종료시각6월운영시작시각6월운영종료시각7월운영시작시각7월운영종료시각8월운영시작시각8월운영종료시각9월운영시작시각9월운영종료시각10월운영시작시각10월운영종료시각11월운영시작시각11월운영종료시각12월운영시작시각12월운영종료시각판매제한품목관리기관명관리기관전화번호데이터기준일자제공기관코드제공기관명
0치요남치킨강촌점2강원도춘천시강원도 춘천시 남면 충효로 1381강원도 춘천시 남면 가정리 90837.733325127.576019102019-08-232025-12-31연중무휴09:0018:0009:0018:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>강원도 춘천시 춘천시청033-250-33232022-11-244180000강원도 춘천시
1강변쉼터2강원도춘천시강원도 춘천시 남산면 북한강변길 910-36 (마을회관 맞은편도로)강원도 춘천시 남산면 강촌리 570-337.825508127.614821102020-07-162022-12-20연중무휴09:0018:0009:0018:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>강원도 춘천시 춘천시청033-250-33232022-11-244180000강원도 춘천시
2오월드1대전광역시중구대전광역시 중구 사정공원로 70, 대전동물원(사정동)대전광역시 중구 사정동 14236.287499127.39850490원2022-05-202022-08-31연중무휴09:3018:0009:3018:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>대전광역시 중구청 위생과042-606-61062023-11-293650000대전광역시 중구
3테헤란로83길99서울특별시강남구서울특별시 강남구 테헤란로83길 12서울특별시 강남구 삼성동 158-537.508196127.057944110105702020-03-232023-12-31연중무휴11:3022:0011:3022:0011:3022:0011:3022:0011:3022:0011:3022:0011:3022:0011:3022:0011:3022:0011:3022:0011:3022:0011:3022:0011:3022:0011:3022:00<NA>서울특별시 강남구청02-3423-65322023-11-243220000서울특별시 강남구
4대화전통시장99강원도평창군강원도 평창군 대화면 대화3길 41강원도 평창군 대화리 1001-17137.500696128.454712<NA>02020-04-242030-12-314일+9일+14일+19일+24일+29일09:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:00주류평창군033-330-23142022-09-264280000강원도 평창군
5마하생태관광단지2강원도평창군강원도 평창군 미탄면 문희길 63강원도 평창군 미탄면 마하리 8237.277862128.577066<NA>02019-05-012030-12-31연중무휴09:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:00주류평창군033-330-23142022-09-264280000강원도 평창군
6봉평전통시장99강원도평창군강원도 평창군 봉평면 허생원장터길 15강원도 평창군 봉평면 창동로 397-3437.615592128.37728<NA>02020-04-242030-12-312일+7일+12일+17일+22일+27일09:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:00주류평창군033-330-23142022-09-264280000강원도 평창군
7알펜시아 리조트2강원도평창군강원도 평창군 대관령면 솔봉로 325강원도 평창군 대관령면 용산리 195-137.659254128.684011<NA>02019-05-012030-12-31연중무휴09:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:00주류평창군033-330-23142022-09-264280000강원도 평창군
8용평리조트2강원도평창군강원도 평창군 대관령면 올림픽로 715강원도 평창군 대관령면 용산리 13037.650944128.705557<NA>02019-05-012030-12-31연중무휴09:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:00주류평창군033-330-23142022-09-264280000강원도 평창군
9진부전통시장99강원도평창군강원도 평창군 진부면 진부새싹길 28-7강원도 평창군 진부면 하진부리 206-9537.638231128.557926<NA>02020-04-242030-12-313일+8일+13일+18일+23일+28일09:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0019:00주류평창군033-330-23142022-09-264280000강원도 평창군
허가구역명장소유형시도명시군구명소재지도로명주소소재지지번주소위도경도푸드트럭운영대수허가구역사용료허가구역운영시작일자허가구역운영종료일자허가구역휴무일허가구역평일운영시작시각허가구역평일운영종료시각허가구역주말운영시작시각허가구역주말운영종료시각1월운영시작시각1월운영종료시각2월운영시작시각2월운영종료시각3월운영시작시각3월운영종료시각4월운영시작시각4월운영종료시각5월운영시작시각5월운영종료시각6월운영시작시각6월운영종료시각7월운영시작시각7월운영종료시각8월운영시작시각8월운영종료시각9월운영시작시각9월운영종료시각10월운영시작시각10월운영종료시각11월운영시작시각11월운영종료시각12월운영시작시각12월운영종료시각판매제한품목관리기관명관리기관전화번호데이터기준일자제공기관코드제공기관명
376공공기관 행사장99경기도광주시경기도 광주시 곤지암읍 경충대로 727, 광주도자기엑스포장 대공연장경기도 광주시 곤지암읍 삼리 72-1 광주도자기엑스포장 대공연장<NA><NA>102018-04-272018-05-13연중무휴00:0000:0000:0000:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>경기도 광주시청031-760-59392023-11-225540000경기도 광주시
377공공기관 행사장99경기도광주시경기도 광주시 곤지암읍 경충대로 727, 광주도자기엑스포장경기도 광주시 곤지암읍 삼리 72-1 광주도자기엑스포장<NA><NA>102018-08-312019-12-31연중무휴00:0000:0000:0000:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>경기도 광주시청031-760-59392023-11-225540000경기도 광주시
378신한아파트99경기도이천시경기도 이천시 갈산로 42, 108동 앞호 (증포동, 신한아파트)경기도 이천시 증포동 94-3 신한아파트37.288102127.456802102022-10-142023-10-06연중무휴09:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:00<NA>경기도 이천시청031-645-34672024-01-234070000경기도 이천시
379센트럴 푸르지오99경기도이천시경기도 이천시 갈산로 60 (증포동, 센트럴 푸르지오)경기도 이천시 증포동 486 센트럴 푸르지오37.288799127.459175102023-01-112023-12-31연중무휴09:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:00<NA>경기도 이천시청031-645-34672024-01-234070000경기도 이천시
380진우아파트99경기도이천시경기도 이천시 부발읍 경충대로 2212, (진우아파트)경기도 이천시 부발읍 신하리 36537.259596127.480851102023-12-202024-12-20연중무휴09:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:00<NA>경기도 이천시청031-645-34672024-01-234070000경기도 이천시
381부산시청 푸드트럭존8부산광역시연제구부산광역시 연제구 중앙대로 1001부산광역시 연제구 연산동 100035.179926129.075095202017-12-222018-12-22연중무휴00:0023:5900:0023:59<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 연제구청051-665-44112023-10-273370000부산광역시 연제구
382아시아드주경기장8부산광역시연제구부산광역시 연제구 월드컵대로 344부산광역시 연제구 거제동 129935.190087129.058356702017-11-232018-10-31연중무휴00:0023:5900:0023:59<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 연제구청051-665-44112023-10-273370000부산광역시 연제구
383카페베리 앞 도로2전라북도고창군전라북도 고창군 심원면 심원로 270-66전라북도 고창군 심원면 월산리 247-16<NA><NA>102018-05-072018-05-07화요일+수요일12:0017:3012:0017:30<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전라북도 고창군063-560-28872023-01-204781000전북특별자치도 고창군
384꽃길프로젝트2전라북도고창군전라북도 고창군 부안면 복분자로 307전라북도 고창군 부안면 용산리 409-2<NA><NA>102021-09-152023-09-22연중무휴09:0018:0009:0018:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전라북도 고창군063-560-28872023-01-204781000전북특별자치도 고창군
385장애인복지관 주차장99전라북도고창군전라북도 고창군 고창읍 전봉준로 88-9, 고창군장애인복지관 주차장전라북도 고창군 고창읍 율계리 113<NA><NA>102022-10-042023-07-31연중무휴09:0018:0009:0018:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전라북도 고창군063-560-28872023-01-204781000전북특별자치도 고창군