Overview

Dataset statistics

Number of variables45
Number of observations78
Missing cells1464
Missing cells (%)41.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.9 KiB
Average record size in memory365.7 B

Variable types

Text3
Numeric4
Categorical7
DateTime31

Dataset

Description푸드트럭 허가 구역 현황(제공표준)
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=0SCO9ANU0GFCIHYSWSNK27024995&infSeq=1

Alerts

시도명 has constant value ""Constant
허가구역사용료 is highly imbalanced (51.4%)Imbalance
허가구역휴무일 is highly imbalanced (66.5%)Imbalance
판매제한품목 is highly imbalanced (60.7%)Imbalance
소재지도로명주소 has 14 (17.9%) missing valuesMissing
위도 has 1 (1.3%) missing valuesMissing
경도 has 1 (1.3%) missing valuesMissing
푸드트럭운영대수 has 8 (10.3%) missing valuesMissing
1월운영시작시각 has 60 (76.9%) missing valuesMissing
1월운영종료시각 has 60 (76.9%) missing valuesMissing
2월운영시작시각 has 60 (76.9%) missing valuesMissing
2월운영종료시각 has 60 (76.9%) missing valuesMissing
3월운영시작시각 has 60 (76.9%) missing valuesMissing
3월운영종료시각 has 60 (76.9%) missing valuesMissing
4월운영시작시각 has 60 (76.9%) missing valuesMissing
4월운영종료시각 has 60 (76.9%) missing valuesMissing
5월운영시작시각 has 60 (76.9%) missing valuesMissing
5월운영종료시각 has 60 (76.9%) missing valuesMissing
6월운영시작시각 has 60 (76.9%) missing valuesMissing
6월운영종료시각 has 60 (76.9%) missing valuesMissing
7월운영시작시각 has 60 (76.9%) missing valuesMissing
7월운영종료시각 has 60 (76.9%) missing valuesMissing
8월운영시작시각 has 60 (76.9%) missing valuesMissing
8월운영종료시각 has 60 (76.9%) missing valuesMissing
9월운영시작시각 has 60 (76.9%) missing valuesMissing
9월운영종료시각 has 60 (76.9%) missing valuesMissing
10월운영시작시각 has 60 (76.9%) missing valuesMissing
10월운영종료시각 has 60 (76.9%) missing valuesMissing
11월운영시작시각 has 60 (76.9%) missing valuesMissing
11월운영종료시각 has 60 (76.9%) missing valuesMissing
12월운영시작시각 has 60 (76.9%) missing valuesMissing
12월운영종료시각 has 60 (76.9%) missing valuesMissing

Reproduction

Analysis started2024-05-10 21:26:16.595937
Analysis finished2024-05-10 21:26:18.086900
Duration1.49 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct57
Distinct (%)73.1%
Missing0
Missing (%)0.0%
Memory size756.0 B
2024-05-10T21:26:18.313365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12.5
Mean length7.5897436
Min length3

Characters and Unicode

Total characters592
Distinct characters171
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)66.7%

Sample

1st row센트럴 푸르지오
2nd row비에이비스타CC
3rd row신한아파트
4th row의왕시청
5th row경기남부도로
ValueCountFrequency (%)
아파트 11
 
9.6%
행사장 9
 
7.9%
공공기관 9
 
7.9%
졸음쉼터 4
 
3.5%
3
 
2.6%
2
 
1.8%
서울외곽고속도로 2
 
1.8%
왕송호수공원 2
 
1.8%
센트럴 2
 
1.8%
푸르지오 2
 
1.8%
Other values (67) 68
59.6%
2024-05-10T21:26:19.183731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
 
6.1%
28
 
4.7%
22
 
3.7%
19
 
3.2%
17
 
2.9%
16
 
2.7%
14
 
2.4%
12
 
2.0%
11
 
1.9%
11
 
1.9%
Other values (161) 406
68.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 534
90.2%
Space Separator 36
 
6.1%
Uppercase Letter 6
 
1.0%
Open Punctuation 4
 
0.7%
Close Punctuation 4
 
0.7%
Lowercase Letter 4
 
0.7%
Other Punctuation 3
 
0.5%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
28
 
5.2%
22
 
4.1%
19
 
3.6%
17
 
3.2%
16
 
3.0%
14
 
2.6%
12
 
2.2%
11
 
2.1%
11
 
2.1%
10
 
1.9%
Other values (149) 374
70.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
25.0%
c 1
25.0%
a 1
25.0%
f 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
C 2
33.3%
G 2
33.3%
T 2
33.3%
Space Separator
ValueCountFrequency (%)
36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 533
90.0%
Common 48
 
8.1%
Latin 10
 
1.7%
Han 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
28
 
5.3%
22
 
4.1%
19
 
3.6%
17
 
3.2%
16
 
3.0%
14
 
2.6%
12
 
2.3%
11
 
2.1%
11
 
2.1%
10
 
1.9%
Other values (148) 373
70.0%
Latin
ValueCountFrequency (%)
C 2
20.0%
G 2
20.0%
T 2
20.0%
e 1
10.0%
c 1
10.0%
a 1
10.0%
f 1
10.0%
Common
ValueCountFrequency (%)
36
75.0%
( 4
 
8.3%
) 4
 
8.3%
, 3
 
6.2%
2 1
 
2.1%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 533
90.0%
ASCII 58
 
9.8%
CJK 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
62.1%
( 4
 
6.9%
) 4
 
6.9%
, 3
 
5.2%
C 2
 
3.4%
G 2
 
3.4%
T 2
 
3.4%
2 1
 
1.7%
e 1
 
1.7%
c 1
 
1.7%
Other values (2) 2
 
3.4%
Hangul
ValueCountFrequency (%)
28
 
5.3%
22
 
4.1%
19
 
3.6%
17
 
3.2%
16
 
3.0%
14
 
2.6%
12
 
2.3%
11
 
2.1%
11
 
2.1%
10
 
1.9%
Other values (148) 373
70.0%
CJK
ValueCountFrequency (%)
1
100.0%

장소유형
Real number (ℝ)

Distinct8
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.769231
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2024-05-10T21:26:19.556923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.85
Q14
median53.5
Q399
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)95

Descriptive statistics

Standard deviation47.571388
Coefficient of variation (CV)0.9189124
Kurtosis-2.0471261
Mean51.769231
Median Absolute Deviation (MAD)45.5
Skewness-0.004473196
Sum4038
Variance2263.037
MonotonicityNot monotonic
2024-05-10T21:26:19.893394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
99 39
50.0%
2 9
 
11.5%
8 8
 
10.3%
4 7
 
9.0%
7 7
 
9.0%
1 4
 
5.1%
3 3
 
3.8%
5 1
 
1.3%
ValueCountFrequency (%)
1 4
 
5.1%
2 9
 
11.5%
3 3
 
3.8%
4 7
 
9.0%
5 1
 
1.3%
7 7
 
9.0%
8 8
 
10.3%
99 39
50.0%
ValueCountFrequency (%)
99 39
50.0%
8 8
 
10.3%
7 7
 
9.0%
5 1
 
1.3%
4 7
 
9.0%
3 3
 
3.8%
2 9
 
11.5%
1 4
 
5.1%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size756.0 B
경기도
78 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 78
100.0%

Length

2024-05-10T21:26:20.262535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:26:20.555336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 78
100.0%

시군구명
Categorical

Distinct20
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Memory size756.0 B
광주시
22 
의왕시
연천군
이천시
포천시
Other values (15)
29 

Length

Max length7
Median length3
Mean length3.2948718
Min length3

Unique

Unique8 ?
Unique (%)10.3%

Sample

1st row이천시
2nd row이천시
3rd row이천시
4th row의왕시
5th row의왕시

Common Values

ValueCountFrequency (%)
광주시 22
28.2%
의왕시 8
 
10.3%
연천군 7
 
9.0%
이천시 6
 
7.7%
포천시 6
 
7.7%
안양시 5
 
6.4%
화성시 4
 
5.1%
여주시 4
 
5.1%
안산시 상록구 2
 
2.6%
안성시 2
 
2.6%
Other values (10) 12
15.4%

Length

2024-05-10T21:26:20.944526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
광주시 22
26.5%
의왕시 8
 
9.6%
연천군 7
 
8.4%
이천시 6
 
7.2%
포천시 6
 
7.2%
안양시 5
 
6.0%
화성시 4
 
4.8%
여주시 4
 
4.8%
안산시 3
 
3.6%
동두천시 2
 
2.4%
Other values (13) 16
19.3%
Distinct55
Distinct (%)85.9%
Missing14
Missing (%)17.9%
Memory size756.0 B
2024-05-10T21:26:21.535369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length35.5
Mean length29.875
Min length14

Characters and Unicode

Total characters1912
Distinct characters205
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)78.1%

Sample

1st row경기도 이천시 갈산로 60, 관리사무소 앞동 (증포동, 센트럴 푸르지오)
2nd row경기도 이천시 모가면 어농로 272, 스타트 그늘집 (마당)
3rd row경기도 이천시 갈산로 42, 108동 앞호 (증포동, 신한아파트)
4th row경기도 의왕시 시청로 11 (고천동, 의왕시청)
5th row경기도 의왕시 오전로 24, 의왕휴게소 서울방향 (왕곡동)
ValueCountFrequency (%)
경기도 64
 
15.9%
광주시 21
 
5.2%
곤지암읍 9
 
2.2%
경충대로 8
 
2.0%
727 7
 
1.7%
의왕시 7
 
1.7%
광주도자기엑스포장 7
 
1.7%
태전동 6
 
1.5%
이천시 6
 
1.5%
5
 
1.2%
Other values (188) 263
65.3%
2024-05-10T21:26:22.635293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
339
 
17.7%
81
 
4.2%
77
 
4.0%
72
 
3.8%
67
 
3.5%
61
 
3.2%
38
 
2.0%
38
 
2.0%
7 38
 
2.0%
2 36
 
1.9%
Other values (195) 1065
55.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1259
65.8%
Space Separator 339
 
17.7%
Decimal Number 209
 
10.9%
Other Punctuation 32
 
1.7%
Close Punctuation 29
 
1.5%
Open Punctuation 29
 
1.5%
Dash Punctuation 9
 
0.5%
Uppercase Letter 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
81
 
6.4%
77
 
6.1%
72
 
5.7%
67
 
5.3%
61
 
4.8%
38
 
3.0%
38
 
3.0%
31
 
2.5%
30
 
2.4%
25
 
2.0%
Other values (178) 739
58.7%
Decimal Number
ValueCountFrequency (%)
7 38
18.2%
2 36
17.2%
1 27
12.9%
3 26
12.4%
9 16
7.7%
8 16
7.7%
0 15
 
7.2%
4 14
 
6.7%
6 12
 
5.7%
5 9
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
T 3
50.0%
G 3
50.0%
Space Separator
ValueCountFrequency (%)
339
100.0%
Other Punctuation
ValueCountFrequency (%)
, 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1259
65.8%
Common 647
33.8%
Latin 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
81
 
6.4%
77
 
6.1%
72
 
5.7%
67
 
5.3%
61
 
4.8%
38
 
3.0%
38
 
3.0%
31
 
2.5%
30
 
2.4%
25
 
2.0%
Other values (178) 739
58.7%
Common
ValueCountFrequency (%)
339
52.4%
7 38
 
5.9%
2 36
 
5.6%
, 32
 
4.9%
) 29
 
4.5%
( 29
 
4.5%
1 27
 
4.2%
3 26
 
4.0%
9 16
 
2.5%
8 16
 
2.5%
Other values (5) 59
 
9.1%
Latin
ValueCountFrequency (%)
T 3
50.0%
G 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1259
65.8%
ASCII 653
34.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
339
51.9%
7 38
 
5.8%
2 36
 
5.5%
, 32
 
4.9%
) 29
 
4.4%
( 29
 
4.4%
1 27
 
4.1%
3 26
 
4.0%
9 16
 
2.5%
8 16
 
2.5%
Other values (7) 65
 
10.0%
Hangul
ValueCountFrequency (%)
81
 
6.4%
77
 
6.1%
72
 
5.7%
67
 
5.3%
61
 
4.8%
38
 
3.0%
38
 
3.0%
31
 
2.5%
30
 
2.4%
25
 
2.0%
Other values (178) 739
58.7%
Distinct68
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Memory size756.0 B
2024-05-10T21:26:23.172590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length35
Mean length24.782051
Min length13

Characters and Unicode

Total characters1933
Distinct characters182
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)78.2%

Sample

1st row경기도 이천시 증포동 486 센트럴 푸르지오
2nd row경기도 이천시 모가면 어농리 386-1
3rd row경기도 이천시 증포동 94-3 신한아파트
4th row경기도 의왕시 고천동 171 의왕시청
5th row경기도 의왕시 왕곡동 260 경기남부도로
ValueCountFrequency (%)
경기도 78
 
17.6%
광주시 22
 
5.0%
곤지암읍 9
 
2.0%
삼리 9
 
2.0%
의왕시 8
 
1.8%
72-1 7
 
1.6%
광주도자기엑스포장 7
 
1.6%
연천군 7
 
1.6%
7
 
1.6%
이천시 6
 
1.4%
Other values (196) 282
63.8%
2024-05-10T21:26:24.246736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
364
 
18.8%
93
 
4.8%
86
 
4.4%
86
 
4.4%
72
 
3.7%
1 53
 
2.7%
50
 
2.6%
41
 
2.1%
- 38
 
2.0%
38
 
2.0%
Other values (172) 1012
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1259
65.1%
Space Separator 364
 
18.8%
Decimal Number 264
 
13.7%
Dash Punctuation 38
 
2.0%
Other Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
93
 
7.4%
86
 
6.8%
86
 
6.8%
72
 
5.7%
50
 
4.0%
41
 
3.3%
38
 
3.0%
31
 
2.5%
28
 
2.2%
24
 
1.9%
Other values (155) 710
56.4%
Decimal Number
ValueCountFrequency (%)
1 53
20.1%
7 36
13.6%
3 32
12.1%
2 28
10.6%
5 27
10.2%
4 22
8.3%
8 21
 
8.0%
6 19
 
7.2%
0 15
 
5.7%
9 11
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
G 1
50.0%
T 1
50.0%
Space Separator
ValueCountFrequency (%)
364
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1259
65.1%
Common 672
34.8%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
93
 
7.4%
86
 
6.8%
86
 
6.8%
72
 
5.7%
50
 
4.0%
41
 
3.3%
38
 
3.0%
31
 
2.5%
28
 
2.2%
24
 
1.9%
Other values (155) 710
56.4%
Common
ValueCountFrequency (%)
364
54.2%
1 53
 
7.9%
- 38
 
5.7%
7 36
 
5.4%
3 32
 
4.8%
2 28
 
4.2%
5 27
 
4.0%
4 22
 
3.3%
8 21
 
3.1%
6 19
 
2.8%
Other values (5) 32
 
4.8%
Latin
ValueCountFrequency (%)
G 1
50.0%
T 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1259
65.1%
ASCII 674
34.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
364
54.0%
1 53
 
7.9%
- 38
 
5.6%
7 36
 
5.3%
3 32
 
4.7%
2 28
 
4.2%
5 27
 
4.0%
4 22
 
3.3%
8 21
 
3.1%
6 19
 
2.8%
Other values (7) 34
 
5.0%
Hangul
ValueCountFrequency (%)
93
 
7.4%
86
 
6.8%
86
 
6.8%
72
 
5.7%
50
 
4.0%
41
 
3.3%
38
 
3.0%
31
 
2.5%
28
 
2.2%
24
 
1.9%
Other values (155) 710
56.4%

위도
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)77.9%
Missing1
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean37.467395
Minimum36.987502
Maximum38.097609
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2024-05-10T21:26:24.593529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.987502
5-th percentile37.092518
Q137.309825
median37.384787
Q337.542
95-th percentile38.076997
Maximum38.097609
Range1.110107
Interquartile range (IQR)0.23217522

Descriptive statistics

Standard deviation0.29206935
Coefficient of variation (CV)0.0077952938
Kurtosis0.057741188
Mean37.467395
Median Absolute Deviation (MAD)0.077678366
Skewness0.96449442
Sum2884.9894
Variance0.085304505
MonotonicityNot monotonic
2024-05-10T21:26:24.957884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.350279973 7
 
9.0%
37.3914738061 5
 
6.4%
38.07699678 3
 
3.8%
37.2887991238 2
 
2.6%
37.3098252097 2
 
2.6%
37.3468876702 2
 
2.6%
37.307108967 2
 
2.6%
37.5929003 2
 
2.6%
36.9947260204 1
 
1.3%
37.4605277477 1
 
1.3%
Other values (50) 50
64.1%
ValueCountFrequency (%)
36.987502 1
1.3%
36.9920809 1
1.3%
36.9947260204 1
1.3%
37.092515 1
1.3%
37.0925192225 1
1.3%
37.11740281 1
1.3%
37.1690741 1
1.3%
37.17960623 1
1.3%
37.1808193571 1
1.3%
37.225955 1
1.3%
ValueCountFrequency (%)
38.09760897 1
 
1.3%
38.0837839697 1
 
1.3%
38.08091795 1
 
1.3%
38.07699678 3
3.8%
38.07034441 1
 
1.3%
38.02808666 1
 
1.3%
38.02350322 1
 
1.3%
37.91656508 1
 
1.3%
37.90314867 1
 
1.3%
37.8981212 1
 
1.3%

경도
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)77.9%
Missing1
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean127.15253
Minimum126.68147
Maximum127.62972
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2024-05-10T21:26:25.374821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.68147
5-th percentile126.80827
Q1126.95315
median127.19748
Q3127.32361
95-th percentile127.48982
Maximum127.62972
Range0.9482508
Interquartile range (IQR)0.3704529

Descriptive statistics

Standard deviation0.22398207
Coefficient of variation (CV)0.0017615227
Kurtosis-0.60794666
Mean127.15253
Median Absolute Deviation (MAD)0.1457855
Skewness0.11640066
Sum9790.7449
Variance0.05016797
MonotonicityNot monotonic
2024-05-10T21:26:25.724197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.3347904394 7
 
9.0%
127.2278404763 5
 
6.4%
127.1420612 3
 
3.8%
127.45917531 2
 
2.6%
126.9441405769 2
 
2.6%
126.9854610916 2
 
2.6%
126.9531542268 2
 
2.6%
126.7694134 2
 
2.6%
127.1511383427 1
 
1.3%
127.2124383488 1
 
1.3%
Other values (50) 50
64.1%
ValueCountFrequency (%)
126.6814653 1
1.3%
126.7694134 2
2.6%
126.7990254 1
1.3%
126.8105841 1
1.3%
126.844738 1
1.3%
126.8447422993 1
1.3%
126.8619896 1
1.3%
126.8648238 1
1.3%
126.9026947927 1
1.3%
126.9157818 1
1.3%
ValueCountFrequency (%)
127.6297161 1
1.3%
127.6265365 1
1.3%
127.6229022 1
1.3%
127.6123848 1
1.3%
127.45917531 2
2.6%
127.4568019846 1
1.3%
127.446238 1
1.3%
127.4453047 1
1.3%
127.4213071 1
1.3%
127.416822 1
1.3%

푸드트럭운영대수
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)10.0%
Missing8
Missing (%)10.3%
Infinite0
Infinite (%)0.0%
Mean1.9285714
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2024-05-10T21:26:26.001309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile7.55
Maximum23
Range22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.3978741
Coefficient of variation (CV)1.7618607
Kurtosis23.591746
Mean1.9285714
Median Absolute Deviation (MAD)0
Skewness4.5923157
Sum135
Variance11.545549
MonotonicityNot monotonic
2024-05-10T21:26:26.388970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 62
79.5%
7 2
 
2.6%
2 2
 
2.6%
14 1
 
1.3%
10 1
 
1.3%
8 1
 
1.3%
23 1
 
1.3%
(Missing) 8
 
10.3%
ValueCountFrequency (%)
1 62
79.5%
2 2
 
2.6%
7 2
 
2.6%
8 1
 
1.3%
10 1
 
1.3%
14 1
 
1.3%
23 1
 
1.3%
ValueCountFrequency (%)
23 1
 
1.3%
14 1
 
1.3%
10 1
 
1.3%
8 1
 
1.3%
7 2
 
2.6%
2 2
 
2.6%
1 62
79.5%

허가구역사용료
Categorical

IMBALANCE 

Distinct15
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Memory size756.0 B
0
55 
별도계약
아파트 내부 규정
 
3
매출액 15퍼센트(VAT별도)
 
2
무료
 
2
Other values (10)
10 

Length

Max length16
Median length1
Mean length2.8461538
Min length1

Unique

Unique10 ?
Unique (%)12.8%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 55
70.5%
별도계약 6
 
7.7%
아파트 내부 규정 3
 
3.8%
매출액 15퍼센트(VAT별도) 2
 
2.6%
무료 2
 
2.6%
연 257100원 1
 
1.3%
월6500000원 1
 
1.3%
연 1000000원 1
 
1.3%
연 273240원 1
 
1.3%
연 562140원 1
 
1.3%
Other values (5) 5
 
6.4%

Length

2024-05-10T21:26:26.890006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 55
59.1%
7
 
7.5%
별도계약 6
 
6.5%
아파트 3
 
3.2%
내부 3
 
3.2%
규정 3
 
3.2%
매출액 2
 
2.2%
15퍼센트(vat별도 2
 
2.2%
무료 2
 
2.2%
무료-0 1
 
1.1%
Other values (9) 9
 
9.7%
Distinct75
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size756.0 B
Minimum2015-05-29 00:00:00
Maximum2032-08-09 00:00:00
2024-05-10T21:26:27.391660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:26:27.903897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct64
Distinct (%)82.1%
Missing0
Missing (%)0.0%
Memory size756.0 B
Minimum2018-05-13 00:00:00
Maximum2099-12-31 00:00:00
2024-05-10T21:26:28.396804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:26:29.127195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

허가구역휴무일
Categorical

IMBALANCE 

Distinct13
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size756.0 B
연중무휴
65 
토+일
 
2
토요일+일요일+공휴일
 
1
1월+2월+12월
 
1
월+화+수+목+토+일
 
1
Other values (8)

Length

Max length24
Median length4
Mean length4.8717949
Min length3

Unique

Unique11 ?
Unique (%)14.1%

Sample

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

Common Values

ValueCountFrequency (%)
연중무휴 65
83.3%
토+일 2
 
2.6%
토요일+일요일+공휴일 1
 
1.3%
1월+2월+12월 1
 
1.3%
월+화+수+목+토+일 1
 
1.3%
1월~5월+9월~12월 1
 
1.3%
토+일+공휴일 1
 
1.3%
계약일 1
 
1.3%
화+수+목+금+토+일 1
 
1.3%
월+화+수+금+토+일 1
 
1.3%
Other values (3) 3
 
3.8%

Length

2024-05-10T21:26:29.580092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
연중무휴 66
79.5%
토+일 2
 
2.4%
월+화+수+금+토+일 1
 
1.2%
운영중단 1
 
1.2%
1
 
1.2%
행사참여 1
 
1.2%
알림 1
 
1.2%
사전 1
 
1.2%
휴무시 1
 
1.2%
화+수+목+금+토+일 1
 
1.2%
Other values (7) 7
 
8.4%
Distinct8
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size756.0 B
Minimum2024-05-10 00:00:00
Maximum2024-05-10 18:00:00
2024-05-10T21:26:29.978545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:26:30.366844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
Distinct8
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size756.0 B
Minimum2024-05-10 00:00:00
Maximum2024-05-10 23:59:00
2024-05-10T21:26:30.697080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:26:30.974218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
Distinct6
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size756.0 B
Minimum2024-05-10 00:00:00
Maximum2024-05-10 18:00:00
2024-05-10T21:26:31.203831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:26:31.448800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
Distinct8
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size756.0 B
Minimum2024-05-10 00:00:00
Maximum2024-05-10 23:59:00
2024-05-10T21:26:31.751374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:26:32.008084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
Distinct4
Distinct (%)22.2%
Missing60
Missing (%)76.9%
Memory size756.0 B
Minimum2024-05-10 00:00:00
Maximum2024-05-10 10:30:00
2024-05-10T21:26:32.287352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:26:32.743645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
Distinct4
Distinct (%)22.2%
Missing60
Missing (%)76.9%
Memory size756.0 B
Minimum2024-05-10 00:00:00
Maximum2024-05-10 23:59:00
2024-05-10T21:26:33.092121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:26:33.406042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
Distinct4
Distinct (%)22.2%
Missing60
Missing (%)76.9%
Memory size756.0 B
Minimum2024-05-10 00:00:00
Maximum2024-05-10 10:30:00
2024-05-10T21:26:33.672578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:26:34.093921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
Distinct4
Distinct (%)22.2%
Missing60
Missing (%)76.9%
Memory size756.0 B
Minimum2024-05-10 00:00:00
Maximum2024-05-10 23:59:00
2024-05-10T21:26:34.450941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:26:34.747470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
Distinct6
Distinct (%)33.3%
Missing60
Missing (%)76.9%
Memory size756.0 B
Minimum2024-05-10 00:00:00
Maximum2024-05-10 18:00:00
2024-05-10T21:26:34.969163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:26:35.215170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
Distinct5
Distinct (%)27.8%
Missing60
Missing (%)76.9%
Memory size756.0 B
Minimum2024-05-10 00:00:00
Maximum2024-05-10 23:59:00
2024-05-10T21:26:35.556774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:26:35.904517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
Distinct6
Distinct (%)33.3%
Missing60
Missing (%)76.9%
Memory size756.0 B
Minimum2024-05-10 00:00:00
Maximum2024-05-10 18:00:00
2024-05-10T21:26:36.214912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:26:36.487477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
Distinct5
Distinct (%)27.8%
Missing60
Missing (%)76.9%
Memory size756.0 B
Minimum2024-05-10 00:00:00
Maximum2024-05-10 23:59:00
2024-05-10T21:26:36.738768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:26:37.050996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
Distinct6
Distinct (%)33.3%
Missing60
Missing (%)76.9%
Memory size756.0 B
Minimum2024-05-10 00:00:00
Maximum2024-05-10 18:00:00
2024-05-10T21:26:37.276113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:26:37.690514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
Distinct5
Distinct (%)27.8%
Missing60
Missing (%)76.9%
Memory size756.0 B
Minimum2024-05-10 00:00:00
Maximum2024-05-10 23:59:00
2024-05-10T21:26:38.001819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:26:38.351970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
Distinct5
Distinct (%)27.8%
Missing60
Missing (%)76.9%
Memory size756.0 B
Minimum2024-05-10 00:00:00
Maximum2024-05-10 18:00:00
2024-05-10T21:26:38.733925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:26:39.055203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
Distinct6
Distinct (%)33.3%
Missing60
Missing (%)76.9%
Memory size756.0 B
Minimum2024-05-10 00:00:00
Maximum2024-05-10 23:59:00
2024-05-10T21:26:39.398529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:26:39.887705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
Distinct5
Distinct (%)27.8%
Missing60
Missing (%)76.9%
Memory size756.0 B
Minimum2024-05-10 00:00:00
Maximum2024-05-10 18:00:00
2024-05-10T21:26:40.249071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:26:40.683714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
Distinct6
Distinct (%)33.3%
Missing60
Missing (%)76.9%
Memory size756.0 B
Minimum2024-05-10 00:00:00
Maximum2024-05-10 23:59:00
2024-05-10T21:26:41.090054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:26:41.339423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
Distinct5
Distinct (%)27.8%
Missing60
Missing (%)76.9%
Memory size756.0 B
Minimum2024-05-10 00:00:00
Maximum2024-05-10 18:00:00
2024-05-10T21:26:41.580923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:26:41.951252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
Distinct6
Distinct (%)33.3%
Missing60
Missing (%)76.9%
Memory size756.0 B
Minimum2024-05-10 00:00:00
Maximum2024-05-10 23:59:00
2024-05-10T21:26:42.302202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:26:42.747368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
Distinct5
Distinct (%)27.8%
Missing60
Missing (%)76.9%
Memory size756.0 B
Minimum2024-05-10 00:00:00
Maximum2024-05-10 18:00:00
2024-05-10T21:26:43.054526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:26:43.381114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
Distinct5
Distinct (%)27.8%
Missing60
Missing (%)76.9%
Memory size756.0 B
Minimum2024-05-10 00:00:00
Maximum2024-05-10 23:59:00
2024-05-10T21:26:43.723464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:26:44.170224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
Distinct5
Distinct (%)27.8%
Missing60
Missing (%)76.9%
Memory size756.0 B
Minimum2024-05-10 00:00:00
Maximum2024-05-10 18:00:00
2024-05-10T21:26:44.394837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:26:44.670875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
Distinct6
Distinct (%)33.3%
Missing60
Missing (%)76.9%
Memory size756.0 B
Minimum2024-05-10 00:00:00
Maximum2024-05-10 23:59:00
2024-05-10T21:26:44.917610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:26:45.204141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
Distinct5
Distinct (%)27.8%
Missing60
Missing (%)76.9%
Memory size756.0 B
Minimum2024-05-10 00:00:00
Maximum2024-05-10 18:00:00
2024-05-10T21:26:45.428994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:26:45.752329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
Distinct6
Distinct (%)33.3%
Missing60
Missing (%)76.9%
Memory size756.0 B
Minimum2024-05-10 00:00:00
Maximum2024-05-10 23:59:00
2024-05-10T21:26:46.074725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:26:46.442362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
Distinct3
Distinct (%)16.7%
Missing60
Missing (%)76.9%
Memory size756.0 B
Minimum2024-05-10 00:00:00
Maximum2024-05-10 09:00:00
2024-05-10T21:26:46.778159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:26:47.143439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
Distinct4
Distinct (%)22.2%
Missing60
Missing (%)76.9%
Memory size756.0 B
Minimum2024-05-10 00:00:00
Maximum2024-05-10 23:59:00
2024-05-10T21:26:47.576966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:26:48.015945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

판매제한품목
Categorical

IMBALANCE 

Distinct5
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size756.0 B
<NA>
65 
주류
 
4
스낵류
 
1
운영중단
 
1

Length

Max length4
Median length4
Mean length3.6153846
Min length1

Unique

Unique2 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 65
83.3%
7
 
9.0%
주류 4
 
5.1%
스낵류 1
 
1.3%
운영중단 1
 
1.3%

Length

2024-05-10T21:26:48.427694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:26:48.814002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 65
83.3%
7
 
9.0%
주류 4
 
5.1%
스낵류 1
 
1.3%
운영중단 1
 
1.3%

관리기관명
Categorical

Distinct22
Distinct (%)28.2%
Missing0
Missing (%)0.0%
Memory size756.0 B
경기도 광주시청
22 
경기도 의왕시청
경기도 연천군
경기도 포천시청
경기도 이천시청
Other values (17)
30 

Length

Max length18
Median length8
Mean length8.5
Min length6

Unique

Unique11 ?
Unique (%)14.1%

Sample

1st row경기도 이천시청
2nd row경기도 이천시청
3rd row경기도 이천시청
4th row경기도 의왕시청
5th row경기도 의왕시청

Common Values

ValueCountFrequency (%)
경기도 광주시청 22
28.2%
경기도 의왕시청 8
 
10.3%
경기도 연천군 7
 
9.0%
경기도 포천시청 6
 
7.7%
경기도 이천시청 5
 
6.4%
경기도 안양시청 5
 
6.4%
경기도 여주시청 4
 
5.1%
경기도 화성시 4
 
5.1%
경기도 동두천시청 농업축산위생과 2
 
2.6%
경기도 안산시 상록구청 환경위생과 2
 
2.6%
Other values (12) 13
16.7%

Length

2024-05-10T21:26:49.326084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 73
45.3%
광주시청 22
 
13.7%
의왕시청 8
 
5.0%
연천군 7
 
4.3%
포천시청 6
 
3.7%
이천시청 5
 
3.1%
안양시청 5
 
3.1%
여주시청 4
 
2.5%
화성시 4
 
2.5%
환경위생과 3
 
1.9%
Other values (18) 24
 
14.9%
Distinct26
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size756.0 B
031-760-5939
22 
031-345-2821
031-839-2234
031-538-3630
031-645-3467
Other values (21)
30 

Length

Max length13
Median length12
Mean length12.166667
Min length12

Unique

Unique16 ?
Unique (%)20.5%

Sample

1st row031-645-3467
2nd row031-645-3467
3rd row031-645-3467
4th row031-345-2821
5th row031-345-2821

Common Values

ValueCountFrequency (%)
031-760-5939 22
28.2%
031-345-2821 8
 
10.3%
031-839-2234 7
 
9.0%
031-538-3630 6
 
7.7%
031-645-3467 5
 
6.4%
031-887-2654 4
 
5.1%
031-5189-2230 4
 
5.1%
031-8045-4313 2
 
2.6%
031-8045-3323 2
 
2.6%
031-481-5235 2
 
2.6%
Other values (16) 16
20.5%

Length

2024-05-10T21:26:49.751147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
031-760-5939 22
28.2%
031-345-2821 8
 
10.3%
031-839-2234 7
 
9.0%
031-538-3630 6
 
7.7%
031-645-3467 5
 
6.4%
031-887-2654 4
 
5.1%
031-5189-2230 4
 
5.1%
031-481-5235 2
 
2.6%
031-8045-3323 2
 
2.6%
031-8045-4313 2
 
2.6%
Other values (16) 16
20.5%
Distinct19
Distinct (%)24.4%
Missing0
Missing (%)0.0%
Memory size756.0 B
Minimum2022-12-20 00:00:00
Maximum2024-01-12 00:00:00
2024-05-10T21:26:50.089645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:26:50.524062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

Sample

허가구역명장소유형시도명시군구명소재지도로명주소소재지지번주소위도경도푸드트럭운영대수허가구역사용료허가구역운영시작일자허가구역운영종료일자허가구역휴무일허가구역평일운영시작시각허가구역평일운영종료시각허가구역주말운영시작시각허가구역주말운영종료시각1월운영시작시각1월운영종료시각2월운영시작시각2월운영종료시각3월운영시작시각3월운영종료시각4월운영시작시각4월운영종료시각5월운영시작시각5월운영종료시각6월운영시작시각6월운영종료시각7월운영시작시각7월운영종료시각8월운영시작시각8월운영종료시각9월운영시작시각9월운영종료시각10월운영시작시각10월운영종료시각11월운영시작시각11월운영종료시각12월운영시작시각12월운영종료시각판매제한품목관리기관명관리기관전화번호데이터기준일자
0센트럴 푸르지오99경기도이천시경기도 이천시 갈산로 60, 관리사무소 앞동 (증포동, 센트럴 푸르지오)경기도 이천시 증포동 486 센트럴 푸르지오37.288799127.459175102022-06-222023-05-31연중무휴09:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:00<NA>경기도 이천시청031-645-34672023-02-21
1비에이비스타CC99경기도이천시경기도 이천시 모가면 어농로 272, 스타트 그늘집 (마당)경기도 이천시 모가면 어농리 386-137.180819127.416822102022-07-292023-07-29연중무휴09:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:0009:0020:00<NA>경기도 이천시청031-645-34672023-02-21
2신한아파트99경기도이천시경기도 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 이천시청031-645-34672023-02-21
3의왕시청99경기도의왕시경기도 의왕시 시청로 11 (고천동, 의왕시청)경기도 의왕시 고천동 171 의왕시청37.345236126.968695102017-03-202023-03-20연중무휴00:0020:0000:0020:00<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 의왕시청031-345-28212023-03-10
4경기남부도로99경기도의왕시경기도 의왕시 오전로 24, 의왕휴게소 서울방향 (왕곡동)경기도 의왕시 왕곡동 260 경기남부도로37.346888126.985461102019-01-242032-12-31연중무휴00:0020:0000:0020:00<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 의왕시청031-345-28212023-03-10
5의왕휴게소99경기도의왕시경기도 의왕시 오전로 24, 의왕휴게소 서울방향 (왕곡동)경기도 의왕시 왕곡동 260 의왕휴게소37.346888126.985461102019-04-292033-06-30연중무휴00:0020:0000:0020:00<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 의왕시청031-345-28212023-03-10
6자연학습공원4경기도의왕시경기도 의왕시 왕송못동로 307 (월암동, 자연학습공원 내)경기도 의왕시 월암동 543-3 자연학습공원 내37.307109126.953154102017-06-072023-12-04연중무휴00:0020:0000:0020:00<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 의왕시청031-345-28212023-03-10
7공영주차장99경기도의왕시<NA>경기도 의왕시 청계동 77 청계산 공영주차장37.4058127.024993102017-09-272023-12-31연중무휴00:0020:0000:0020:00<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 의왕시청031-345-28212023-03-10
8바다야2경기도연천군<NA>경기도 연천군 연천읍 부곡리 18838.076997127.142061102021-09-172024-09-16연중무휴00:0023:5900:0023:5900:0023:5900:0023:5900:0023:5900:0023:5900:0023:5900:0023:5900:0023:5900:0023:5900:0023:5900:0023:5900:0023:5900:0023:59경기도 연천군031-839-22342023-10-30
9정이네뜰2경기도연천군<NA>경기도 연천군 연천읍 부곡리 18838.076997127.142061102021-09-172024-09-16연중무휴00:0023:5900:0023:5900:0023:5900:0023:5900:0023:5900:0023:5900:0023:5900:0023:5900:0023:5900:0023:5900:0023:5900:0023:5900:0023:5900:0023:59경기도 연천군031-839-22342023-10-30
허가구역명장소유형시도명시군구명소재지도로명주소소재지지번주소위도경도푸드트럭운영대수허가구역사용료허가구역운영시작일자허가구역운영종료일자허가구역휴무일허가구역평일운영시작시각허가구역평일운영종료시각허가구역주말운영시작시각허가구역주말운영종료시각1월운영시작시각1월운영종료시각2월운영시작시각2월운영종료시각3월운영시작시각3월운영종료시각4월운영시작시각4월운영종료시각5월운영시작시각5월운영종료시각6월운영시작시각6월운영종료시각7월운영시작시각7월운영종료시각8월운영시작시각8월운영종료시각9월운영시작시각9월운영종료시각10월운영시작시각10월운영종료시각11월운영시작시각11월운영종료시각12월운영시작시각12월운영종료시각판매제한품목관리기관명관리기관전화번호데이터기준일자
68삼성래미안아파트8경기도안양시경기도 안양시 만안구 안양천서로 311(안양동 삼성래미안아파트)경기도 안양시 만안구 안양동 90-1번지 삼성래미안아파트37.403292126.923972<NA>아파트 내부 규정2018-09-132020-09-12월+수+목+금+토+일09:0020:0000:0000:00<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 안양시청031-8045-33232023-12-07
69부천종합운동장99경기도부천시 원미구경기도 부천시 원미구 소사로 482경기도 부천시 원미구 춘의동 8번지37.502565126.799025<NA>연 417230원2022-11-012027-10-31연중무휴10:0019:0010:0019:00<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>부천도시공사032-340-08712024-01-12
70서울외곽고속도로 김포TG내측 졸음쉼터7경기도김포시경기도 김포시 고촌읍 김포대로319번길 209-23 한국도로공사김포영업소 서울외곽고속도로 김포TG내측 졸음쉼터경기도 김포시 고촌읍 신곡리 756-3 한국도로공사김포영업소37.5929126.7694131무료2023-05-192023-05-18연중무휴08:3020:3008:3020:30<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>주류경기도 김포시청031-980-22382023-09-19
71아파트99경기도광주시경기도 광주시 순암로36번길 70 (역동, 이편한세상 광주역 2단지)경기도 광주시 역동 244 이편한세상 광주역 2단지37.399462127.249041102021-06-022024-04-20연중무휴00:0000:0000:0000:00<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 광주시청031-760-59392023-11-22
72공공기관 행사장99경기도광주시경기도 광주시 곤지암읍 경충대로 727, 광주도자기엑스포장 야외주차장경기도 광주시 곤지암읍 삼리 72-1 광주도자기엑스포장 야외주차장37.35028127.33479102022-08-242022-08-28연중무휴00:0000:0000:0000:00<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 광주시청031-760-59392023-11-22
73공공기관 행사장99경기도광주시경기도 광주시 곤지암읍 경충대로 727, 광주도자기엑스포장 곤지암도자공원 일원경기도 광주시 곤지암읍 삼리 72-1 광주도자기엑스포장 곤지암도자공원 일원37.35028127.33479102023-04-252023-05-07연중무휴00:0000:0000:0000:00<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 광주시청031-760-59392023-11-22
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