Overview

Dataset statistics

Number of variables38
Number of observations10000
Missing cells118196
Missing cells (%)31.1%
Duplicate rows24
Duplicate rows (%)0.2%
Total size in memory3.2 MiB
Average record size in memory336.0 B

Variable types

Categorical13
Text6
Numeric9
Unsupported9
Boolean1

Dataset

Description식품자동판매기업_인허가
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=9T7FXD6DCJWYWWF7JCQU27915291&infSeq=1

Alerts

Dataset has 24 (0.2%) duplicate rowsDuplicates
업태구분명 is highly imbalanced (99.9%)Imbalance
위생업태명 is highly imbalanced (99.7%)Imbalance
급수시설구분명 is highly imbalanced (70.9%)Imbalance
다중이용업소여부 is highly imbalanced (99.1%)Imbalance
홈페이지 is highly imbalanced (99.9%)Imbalance
도로명주소 has 1614 (16.1%) missing valuesMissing
우편번호 has 843 (8.4%) missing valuesMissing
전화번호 has 3366 (33.7%) missing valuesMissing
WGS84위도 has 390 (3.9%) missing valuesMissing
WGS84경도 has 390 (3.9%) missing valuesMissing
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 2040 (20.4%) missing valuesMissing
휴업시작일자 has 10000 (100.0%) missing valuesMissing
휴업종료일자 has 10000 (100.0%) missing valuesMissing
재개업일자 has 10000 (100.0%) missing valuesMissing
소재지면적 has 7752 (77.5%) missing valuesMissing
X좌표값 has 1098 (11.0%) missing valuesMissing
Y좌표값 has 1098 (11.0%) missing valuesMissing
영업장주변구분명 has 10000 (100.0%) missing valuesMissing
등급구분명 has 10000 (100.0%) missing valuesMissing
본사종업원수 has 3626 (36.3%) missing valuesMissing
보증액 has 6485 (64.8%) missing valuesMissing
월세액 has 6488 (64.9%) missing valuesMissing
시설총규모 has 3002 (30.0%) missing valuesMissing
전통업소지정번호 has 10000 (100.0%) missing valuesMissing
전통업소주된음식 has 10000 (100.0%) missing valuesMissing
본사종업원수 is highly skewed (γ1 = 49.56300441)Skewed
보증액 is highly skewed (γ1 = 22.46337126)Skewed
월세액 is highly skewed (γ1 = 21.59854308)Skewed
시설총규모 is highly skewed (γ1 = 78.80935236)Skewed
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영업장주변구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
등급구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
본사종업원수 has 6365 (63.6%) zerosZeros
보증액 has 3500 (35.0%) zerosZeros
월세액 has 3500 (35.0%) zerosZeros
시설총규모 has 6969 (69.7%) zerosZeros

Reproduction

Analysis started2023-12-10 21:44:15.450052
Analysis finished2023-12-10 21:44:18.089868
Duration2.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct28
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
부천시
983 
성남시
866 
수원시
858 
안산시
784 
안양시
750 
Other values (23)
5759 

Length

Max length4
Median length3
Mean length3.0866
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row안양시
2nd row평택시
3rd row이천시
4th row안산시
5th row안양시

Common Values

ValueCountFrequency (%)
부천시 983
 
9.8%
성남시 866
 
8.7%
수원시 858
 
8.6%
안산시 784
 
7.8%
안양시 750
 
7.5%
고양시 606
 
6.1%
용인시 533
 
5.3%
시흥시 520
 
5.2%
파주시 411
 
4.1%
의정부시 393
 
3.9%
Other values (18) 3296
33.0%

Length

2023-12-11T06:44:18.146800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
부천시 983
 
9.8%
성남시 866
 
8.7%
수원시 858
 
8.6%
안산시 784
 
7.8%
안양시 750
 
7.5%
고양시 606
 
6.1%
용인시 533
 
5.3%
시흥시 520
 
5.2%
파주시 411
 
4.1%
의정부시 393
 
3.9%
Other values (18) 3296
33.0%

사업장명
Text

Distinct9286
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T06:44:18.364375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length27
Mean length7.3034
Min length1

Characters and Unicode

Total characters73034
Distinct characters922
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8878 ?
Unique (%)88.8%

Sample

1st row신중문구사
2nd rowGS25 비전푸르지오점
3rd row이마트24 이천백사점
4th row하이마트옆
5th row영국제과
ValueCountFrequency (%)
이마트24 174
 
1.5%
자판기 168
 
1.4%
세븐일레븐 145
 
1.2%
gs25 133
 
1.1%
씨유 132
 
1.1%
지에스25 49
 
0.4%
자동판매기 42
 
0.4%
cu 38
 
0.3%
내 35
 
0.3%
무인카페 28
 
0.2%
Other values (9674) 10940
92.1%
2023-12-11T06:44:18.716650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 2394
 
3.3%
1893
 
2.6%
자 1632
 
2.2%
기 1626
 
2.2%
판 1413
 
1.9%
이 1107
 
1.5%
마 1105
 
1.5%
2 1081
 
1.5%
) 1025
 
1.4%
( 1017
 
1.4%
Other values (912) 58741
80.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 64290
88.0%
Decimal Number 2502
 
3.4%
Uppercase Letter 1979
 
2.7%
Space Separator 1893
 
2.6%
Close Punctuation 1025
 
1.4%
Open Punctuation 1017
 
1.4%
Lowercase Letter 179
 
0.2%
Other Punctuation 127
 
0.2%
Dash Punctuation 18
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 2394
 
3.7%
자 1632
 
2.5%
기 1626
 
2.5%
판 1413
 
2.2%
이 1107
 
1.7%
마 1105
 
1.7%
주 995
 
1.5%
스 971
 
1.5%
트 958
 
1.5%
원 945
 
1.5%
Other values (841) 51144
79.6%
Uppercase Letter
ValueCountFrequency (%)
S 441
22.3%
G 418
21.1%
C 302
15.3%
U 192
9.7%
T 84
 
4.2%
A 80
 
4.0%
M 76
 
3.8%
P 65
 
3.3%
K 54
 
2.7%
L 44
 
2.2%
Other values (16) 223
11.3%
Lowercase Letter
ValueCountFrequency (%)
e 21
11.7%
c 20
11.2%
a 19
10.6%
o 13
 
7.3%
p 11
 
6.1%
i 11
 
6.1%
s 11
 
6.1%
f 10
 
5.6%
l 9
 
5.0%
n 7
 
3.9%
Other values (12) 47
26.3%
Decimal Number
ValueCountFrequency (%)
2 1081
43.2%
5 566
22.6%
4 453
18.1%
1 167
 
6.7%
3 73
 
2.9%
0 51
 
2.0%
8 36
 
1.4%
9 26
 
1.0%
7 25
 
1.0%
6 24
 
1.0%
Other Punctuation
ValueCountFrequency (%)
. 85
66.9%
, 19
 
15.0%
& 12
 
9.4%
/ 8
 
6.3%
@ 1
 
0.8%
＆ 1
 
0.8%
' 1
 
0.8%
Math Symbol
ValueCountFrequency (%)
↔ 3
75.0%
+ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
1893
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1025
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1017
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 64289
88.0%
Common 6586
 
9.0%
Latin 2158
 
3.0%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 2394
 
3.7%
자 1632
 
2.5%
기 1626
 
2.5%
판 1413
 
2.2%
이 1107
 
1.7%
마 1105
 
1.7%
주 995
 
1.5%
스 971
 
1.5%
트 958
 
1.5%
원 945
 
1.5%
Other values (840) 51143
79.6%
Latin
ValueCountFrequency (%)
S 441
20.4%
G 418
19.4%
C 302
14.0%
U 192
8.9%
T 84
 
3.9%
A 80
 
3.7%
M 76
 
3.5%
P 65
 
3.0%
K 54
 
2.5%
L 44
 
2.0%
Other values (38) 402
18.6%
Common
ValueCountFrequency (%)
1893
28.7%
2 1081
16.4%
) 1025
15.6%
( 1017
15.4%
5 566
 
8.6%
4 453
 
6.9%
1 167
 
2.5%
. 85
 
1.3%
3 73
 
1.1%
0 51
 
0.8%
Other values (13) 175
 
2.7%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 64289
88.0%
ASCII 8740
 
12.0%
Arrows 3
 
< 0.1%
CJK 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 2394
 
3.7%
자 1632
 
2.5%
기 1626
 
2.5%
판 1413
 
2.2%
이 1107
 
1.7%
마 1105
 
1.7%
주 995
 
1.5%
스 971
 
1.5%
트 958
 
1.5%
원 945
 
1.5%
Other values (840) 51143
79.6%
ASCII
ValueCountFrequency (%)
1893
21.7%
2 1081
12.4%
) 1025
11.7%
( 1017
11.6%
5 566
 
6.5%
4 453
 
5.2%
S 441
 
5.0%
G 418
 
4.8%
C 302
 
3.5%
U 192
 
2.2%
Other values (59) 1352
15.5%
Arrows
ValueCountFrequency (%)
↔ 3
100.0%
CJK
ValueCountFrequency (%)
內 1
100.0%
None
ValueCountFrequency (%)
＆ 1
100.0%

영업상태
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
7960 
영업
2040 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row폐업
3rd row영업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 7960
79.6%
영업 2040
 
20.4%

Length

2023-12-11T06:44:18.833054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:44:18.924875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 7960
79.6%
영업 2040
 
20.4%

인허가일자
Text

Distinct4874
Distinct (%)48.7%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-11T06:44:19.145805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.1156116
Min length4

Characters and Unicode

Total characters81148
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

Unique2755 ?
Unique (%)27.6%

Sample

1st row20000228
2nd row20180702
3rd row20181217
4th row20030121
5th row19980420
ValueCountFrequency (%)
20010618 30
 
0.3%
20010713 29
 
0.3%
20010706 28
 
0.3%
20010719 26
 
0.3%
20010622 25
 
0.3%
20010710 25
 
0.3%
20000104 25
 
0.3%
20010705 25
 
0.3%
20010704 25
 
0.3%
20011108 24
 
0.2%
Other values (4864) 9737
97.4%
2023-12-11T06:44:19.537169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 25080
30.9%
2 15464
19.1%
1 14489
17.9%
9 7798
 
9.6%
3 3612
 
4.5%
7 2892
 
3.6%
6 2719
 
3.4%
4 2677
 
3.3%
8 2641
 
3.3%
5 2578
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 79950
98.5%
Dash Punctuation 1198
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 25080
31.4%
2 15464
19.3%
1 14489
18.1%
9 7798
 
9.8%
3 3612
 
4.5%
7 2892
 
3.6%
6 2719
 
3.4%
4 2677
 
3.3%
8 2641
 
3.3%
5 2578
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 1198
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 81148
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 25080
30.9%
2 15464
19.1%
1 14489
17.9%
9 7798
 
9.6%
3 3612
 
4.5%
7 2892
 
3.6%
6 2719
 
3.4%
4 2677
 
3.3%
8 2641
 
3.3%
5 2578
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 81148
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 25080
30.9%
2 15464
19.1%
1 14489
17.9%
9 7798
 
9.6%
3 3612
 
4.5%
7 2892
 
3.6%
6 2719
 
3.4%
4 2677
 
3.3%
8 2641
 
3.3%
5 2578
 
3.2%

도로명주소
Text

MISSING 

Distinct8174
Distinct (%)97.5%
Missing1614
Missing (%)16.1%
Memory size156.2 KiB
2023-12-11T06:44:19.839618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length61
Mean length29.825185
Min length14

Characters and Unicode

Total characters250114
Distinct characters690
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7998 ?
Unique (%)95.4%

Sample

1st row경기도 안양시 동안구 경수대로610번길 64 (호계동)
2nd row경기도 평택시 용죽2로 24, 1층 101호 (용이동, 평택비전센트럴 푸르지오)
3rd row경기도 이천시 백사면 이여로 293, 3동
4th row경기도 안산시 상록구 각골로 52 (본오동)
5th row경기도 안양시 만안구 석천로181번길 18 (석수동)
ValueCountFrequency (%)
경기도 8386
 
15.7%
1층 1472
 
2.8%
부천시 877
 
1.6%
성남시 792
 
1.5%
수원시 740
 
1.4%
안산시 692
 
1.3%
안양시 619
 
1.2%
고양시 510
 
1.0%
용인시 458
 
0.9%
시흥시 413
 
0.8%
Other values (9547) 38484
72.0%
2023-12-11T06:44:20.287261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
45095
 
18.0%
1 9609
 
3.8%
시 8992
 
3.6%
경 8867
 
3.5%
도 8770
 
3.5%
기 8739
 
3.5%
동 8687
 
3.5%
로 8003
 
3.2%
) 7797
 
3.1%
( 7795
 
3.1%
Other values (680) 127760
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 146658
58.6%
Space Separator 45095
 
18.0%
Decimal Number 35105
 
14.0%
Close Punctuation 7797
 
3.1%
Open Punctuation 7795
 
3.1%
Other Punctuation 5797
 
2.3%
Dash Punctuation 1234
 
0.5%
Uppercase Letter 544
 
0.2%
Lowercase Letter 67
 
< 0.1%
Math Symbol 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 8992
 
6.1%
경 8867
 
6.0%
도 8770
 
6.0%
기 8739
 
6.0%
동 8687
 
5.9%
로 8003
 
5.5%
구 4261
 
2.9%
길 3253
 
2.2%
안 3057
 
2.1%
양 2706
 
1.8%
Other values (609) 81323
55.5%
Uppercase Letter
ValueCountFrequency (%)
B 87
16.0%
A 62
11.4%
S 59
10.8%
C 48
 
8.8%
G 44
 
8.1%
L 30
 
5.5%
K 22
 
4.0%
I 21
 
3.9%
U 20
 
3.7%
T 18
 
3.3%
Other values (16) 133
24.4%
Lowercase Letter
ValueCountFrequency (%)
e 11
16.4%
a 8
11.9%
r 6
 
9.0%
l 5
 
7.5%
d 4
 
6.0%
c 4
 
6.0%
i 4
 
6.0%
h 4
 
6.0%
s 3
 
4.5%
m 3
 
4.5%
Other values (9) 15
22.4%
Decimal Number
ValueCountFrequency (%)
1 9609
27.4%
2 4628
13.2%
3 3558
 
10.1%
0 3184
 
9.1%
4 2823
 
8.0%
5 2714
 
7.7%
6 2317
 
6.6%
7 2197
 
6.3%
8 2065
 
5.9%
9 2010
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 3930
67.8%
* 1820
31.4%
. 35
 
0.6%
& 5
 
0.1%
@ 3
 
0.1%
/ 3
 
0.1%
# 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅲ 2
33.3%
Ⅰ 2
33.3%
Ⅳ 1
16.7%
Ⅱ 1
16.7%
Space Separator
ValueCountFrequency (%)
45095
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7797
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7795
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1234
100.0%
Math Symbol
ValueCountFrequency (%)
~ 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 146652
58.6%
Common 102839
41.1%
Latin 617
 
0.2%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 8992
 
6.1%
경 8867
 
6.0%
도 8770
 
6.0%
기 8739
 
6.0%
동 8687
 
5.9%
로 8003
 
5.5%
구 4261
 
2.9%
길 3253
 
2.2%
안 3057
 
2.1%
양 2706
 
1.8%
Other values (607) 81317
55.4%
Latin
ValueCountFrequency (%)
B 87
14.1%
A 62
 
10.0%
S 59
 
9.6%
C 48
 
7.8%
G 44
 
7.1%
L 30
 
4.9%
K 22
 
3.6%
I 21
 
3.4%
U 20
 
3.2%
T 18
 
2.9%
Other values (39) 206
33.4%
Common
ValueCountFrequency (%)
45095
43.9%
1 9609
 
9.3%
) 7797
 
7.6%
( 7795
 
7.6%
2 4628
 
4.5%
, 3930
 
3.8%
3 3558
 
3.5%
0 3184
 
3.1%
4 2823
 
2.7%
5 2714
 
2.6%
Other values (12) 11706
 
11.4%
Han
ValueCountFrequency (%)
內 5
83.3%
前 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 146650
58.6%
ASCII 103450
41.4%
CJK 6
 
< 0.1%
Number Forms 6
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
45095
43.6%
1 9609
 
9.3%
) 7797
 
7.5%
( 7795
 
7.5%
2 4628
 
4.5%
, 3930
 
3.8%
3 3558
 
3.4%
0 3184
 
3.1%
4 2823
 
2.7%
5 2714
 
2.6%
Other values (57) 12317
 
11.9%
Hangul
ValueCountFrequency (%)
시 8992
 
6.1%
경 8867
 
6.0%
도 8770
 
6.0%
기 8739
 
6.0%
동 8687
 
5.9%
로 8003
 
5.5%
구 4261
 
2.9%
길 3253
 
2.2%
안 3057
 
2.1%
양 2706
 
1.8%
Other values (606) 81315
55.4%
CJK
ValueCountFrequency (%)
內 5
83.3%
前 1
 
16.7%
Number Forms
ValueCountFrequency (%)
Ⅲ 2
33.3%
Ⅰ 2
33.3%
Ⅳ 1
16.7%
Ⅱ 1
16.7%
Compat Jamo
ValueCountFrequency (%)
ㅍ 2
100.0%

지번주소
Text

Distinct9685
Distinct (%)96.9%
Missing2
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-11T06:44:20.600602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length57
Mean length24.925285
Min length14

Characters and Unicode

Total characters249203
Distinct characters662
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9440 ?
Unique (%)94.4%

Sample

1st row경기도 안양시 동안구 호계동 1084번지
2nd row경기도 평택시 용이동 650 평택비전센트럴 푸르지오 101호
3rd row경기도 이천시 백사면 조읍리 600-2번지 3동
4th row경기도 안산시 상록구 본오동 770-18번지
5th row경기도 안양시 만안구 석수동 280-7번지
ValueCountFrequency (%)
경기도 9998
 
18.8%
부천시 983
 
1.8%
1층 897
 
1.7%
성남시 866
 
1.6%
수원시 858
 
1.6%
안산시 783
 
1.5%
안양시 750
 
1.4%
고양시 606
 
1.1%
용인시 533
 
1.0%
시흥시 520
 
1.0%
Other values (11987) 36455
68.5%
2023-12-11T06:44:21.110640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
45942
 
18.4%
1 10711
 
4.3%
시 10465
 
4.2%
도 10308
 
4.1%
기 10286
 
4.1%
경 10081
 
4.0%
동 9888
 
4.0%
지 8536
 
3.4%
번 7483
 
3.0%
- 7204
 
2.9%
Other values (652) 118299
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 147940
59.4%
Space Separator 45942
 
18.4%
Decimal Number 44523
 
17.9%
Dash Punctuation 7204
 
2.9%
Other Punctuation 2030
 
0.8%
Uppercase Letter 512
 
0.2%
Open Punctuation 481
 
0.2%
Close Punctuation 480
 
0.2%
Lowercase Letter 72
 
< 0.1%
Math Symbol 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 10465
 
7.1%
도 10308
 
7.0%
기 10286
 
7.0%
경 10081
 
6.8%
동 9888
 
6.7%
지 8536
 
5.8%
번 7483
 
5.1%
구 4809
 
3.3%
안 3145
 
2.1%
양 2972
 
2.0%
Other values (582) 69967
47.3%
Uppercase Letter
ValueCountFrequency (%)
A 66
12.9%
B 59
11.5%
S 54
10.5%
G 43
 
8.4%
C 39
 
7.6%
L 38
 
7.4%
K 24
 
4.7%
I 23
 
4.5%
T 19
 
3.7%
P 18
 
3.5%
Other values (16) 129
25.2%
Lowercase Letter
ValueCountFrequency (%)
e 12
16.7%
a 9
12.5%
r 7
9.7%
l 5
 
6.9%
h 4
 
5.6%
i 4
 
5.6%
d 4
 
5.6%
o 4
 
5.6%
t 3
 
4.2%
c 3
 
4.2%
Other values (9) 17
23.6%
Decimal Number
ValueCountFrequency (%)
1 10711
24.1%
2 5269
11.8%
3 4444
10.0%
4 4033
 
9.1%
0 3950
 
8.9%
5 3788
 
8.5%
6 3501
 
7.9%
7 3289
 
7.4%
8 2911
 
6.5%
9 2627
 
5.9%
Other Punctuation
ValueCountFrequency (%)
* 1672
82.4%
, 276
 
13.6%
. 64
 
3.2%
@ 9
 
0.4%
/ 4
 
0.2%
& 4
 
0.2%
# 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅲ 2
50.0%
Ⅰ 1
25.0%
Ⅱ 1
25.0%
Space Separator
ValueCountFrequency (%)
45942
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7204
100.0%
Open Punctuation
ValueCountFrequency (%)
( 481
100.0%
Close Punctuation
ValueCountFrequency (%)
) 480
100.0%
Math Symbol
ValueCountFrequency (%)
~ 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 147934
59.4%
Common 100675
40.4%
Latin 588
 
0.2%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 10465
 
7.1%
도 10308
 
7.0%
기 10286
 
7.0%
경 10081
 
6.8%
동 9888
 
6.7%
지 8536
 
5.8%
번 7483
 
5.1%
구 4809
 
3.3%
안 3145
 
2.1%
양 2972
 
2.0%
Other values (580) 69961
47.3%
Latin
ValueCountFrequency (%)
A 66
 
11.2%
B 59
 
10.0%
S 54
 
9.2%
G 43
 
7.3%
C 39
 
6.6%
L 38
 
6.5%
K 24
 
4.1%
I 23
 
3.9%
T 19
 
3.2%
P 18
 
3.1%
Other values (38) 205
34.9%
Common
ValueCountFrequency (%)
45942
45.6%
1 10711
 
10.6%
- 7204
 
7.2%
2 5269
 
5.2%
3 4444
 
4.4%
4 4033
 
4.0%
0 3950
 
3.9%
5 3788
 
3.8%
6 3501
 
3.5%
7 3289
 
3.3%
Other values (12) 8544
 
8.5%
Han
ValueCountFrequency (%)
內 5
83.3%
前 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 147932
59.4%
ASCII 101259
40.6%
CJK 6
 
< 0.1%
Number Forms 4
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
45942
45.4%
1 10711
 
10.6%
- 7204
 
7.1%
2 5269
 
5.2%
3 4444
 
4.4%
4 4033
 
4.0%
0 3950
 
3.9%
5 3788
 
3.7%
6 3501
 
3.5%
7 3289
 
3.2%
Other values (57) 9128
 
9.0%
Hangul
ValueCountFrequency (%)
시 10465
 
7.1%
도 10308
 
7.0%
기 10286
 
7.0%
경 10081
 
6.8%
동 9888
 
6.7%
지 8536
 
5.8%
번 7483
 
5.1%
구 4809
 
3.3%
안 3145
 
2.1%
양 2972
 
2.0%
Other values (579) 69959
47.3%
CJK
ValueCountFrequency (%)
內 5
83.3%
前 1
 
16.7%
Number Forms
ValueCountFrequency (%)
Ⅲ 2
50.0%
Ⅰ 1
25.0%
Ⅱ 1
25.0%
Compat Jamo
ValueCountFrequency (%)
ㅍ 2
100.0%

우편번호
Real number (ℝ)

MISSING 

Distinct3384
Distinct (%)37.0%
Missing843
Missing (%)8.4%
Infinite0
Infinite (%)0.0%
Mean14170.292
Minimum10004
Maximum18150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:44:21.240100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10004
5-th percentile10412
Q112400
median14334
Q315860
95-th percentile17746
Maximum18150
Range8146
Interquartile range (IQR)3460

Descriptive statistics

Standard deviation2217.3294
Coefficient of variation (CV)0.15647732
Kurtosis-0.94902554
Mean14170.292
Median Absolute Deviation (MAD)1779
Skewness-0.12939672
Sum1.2975736 × 108
Variance4916549.7
MonotonicityNot monotonic
2023-12-11T06:44:21.374055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13992 36
 
0.4%
15361 32
 
0.3%
15052 27
 
0.3%
15521 24
 
0.2%
15865 21
 
0.2%
10826 19
 
0.2%
10500 19
 
0.2%
15007 18
 
0.2%
14637 18
 
0.2%
10801 18
 
0.2%
Other values (3374) 8925
89.2%
(Missing) 843
 
8.4%
ValueCountFrequency (%)
10004 1
 
< 0.1%
10011 2
 
< 0.1%
10013 2
 
< 0.1%
10014 2
 
< 0.1%
10016 1
 
< 0.1%
10017 2
 
< 0.1%
10018 5
0.1%
10019 6
0.1%
10020 5
0.1%
10021 1
 
< 0.1%
ValueCountFrequency (%)
18150 2
 
< 0.1%
18148 4
< 0.1%
18147 1
 
< 0.1%
18146 7
0.1%
18145 1
 
< 0.1%
18144 8
0.1%
18143 3
 
< 0.1%
18142 3
 
< 0.1%
18141 7
0.1%
18140 6
0.1%

전화번호
Text

MISSING 

Distinct6254
Distinct (%)94.3%
Missing3366
Missing (%)33.7%
Memory size156.2 KiB
2023-12-11T06:44:21.687470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.169279
Min length2

Characters and Unicode

Total characters67463
Distinct characters15
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6095 ?
Unique (%)91.9%

Sample

1st row4293285
2nd row4194490
3rd row4733227
4th row031 2100121
5th row031 4147868
ValueCountFrequency (%)
031 4121
33.1%
02 307
 
2.5%
032 299
 
2.4%
070 45
 
0.4%
0031 35
 
0.3%
5743221 24
 
0.2%
0232719643 13
 
0.1%
32848129 11
 
0.1%
34539622 8
 
0.1%
657 8
 
0.1%
Other values (6698) 7585
60.9%
2023-12-11T06:44:22.240456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 9484
14.1%
0 9363
13.9%
1 8895
13.2%
5995
8.9%
2 5663
8.4%
4 5240
7.8%
5 4827
7.2%
6 4822
7.1%
7 4821
7.1%
8 4346
6.4%
Other values (5) 4007
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 61440
91.1%
Space Separator 5995
 
8.9%
Dash Punctuation 20
 
< 0.1%
Open Punctuation 6
 
< 0.1%
Math Symbol 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 9484
15.4%
0 9363
15.2%
1 8895
14.5%
2 5663
9.2%
4 5240
8.5%
5 4827
7.9%
6 4822
7.8%
7 4821
7.8%
8 4346
7.1%
9 3979
6.5%
Space Separator
ValueCountFrequency (%)
5995
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
] 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 67463
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 9484
14.1%
0 9363
13.9%
1 8895
13.2%
5995
8.9%
2 5663
8.4%
4 5240
7.8%
5 4827
7.2%
6 4822
7.1%
7 4821
7.1%
8 4346
6.4%
Other values (5) 4007
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 67463
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 9484
14.1%
0 9363
13.9%
1 8895
13.2%
5995
8.9%
2 5663
8.4%
4 5240
7.8%
5 4827
7.2%
6 4822
7.1%
7 4821
7.1%
8 4346
6.4%
Other values (5) 4007
5.9%

WGS84위도
Real number (ℝ)

MISSING 

Distinct8729
Distinct (%)90.8%
Missing390
Missing (%)3.9%
Infinite0
Infinite (%)0.0%
Mean37.446582
Minimum36.914002
Maximum38.184238
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:44:22.561443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.914002
5-th percentile37.116053
Q137.311615
median37.412045
Q337.598649
95-th percentile37.810736
Maximum38.184238
Range1.2702357
Interquartile range (IQR)0.28703405

Descriptive statistics

Standard deviation0.20420563
Coefficient of variation (CV)0.0054532514
Kurtosis0.12295303
Mean37.446582
Median Absolute Deviation (MAD)0.11110524
Skewness0.31904143
Sum359861.65
Variance0.041699938
MonotonicityNot monotonic
2023-12-11T06:44:22.972796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.3097957 20
 
0.2%
37.2615507 11
 
0.1%
37.3364285 9
 
0.1%
37.4839571 8
 
0.1%
37.4376329 7
 
0.1%
37.3707735 7
 
0.1%
37.2959838 7
 
0.1%
37.3608682 7
 
0.1%
37.327696 7
 
0.1%
37.3798554 7
 
0.1%
Other values (8719) 9520
95.2%
(Missing) 390
 
3.9%
ValueCountFrequency (%)
36.9140022 1
< 0.1%
36.9203876 1
< 0.1%
36.9269974 1
< 0.1%
36.9350292 1
< 0.1%
36.9429476 1
< 0.1%
36.9445615 1
< 0.1%
36.9445891982 1
< 0.1%
36.9446377 1
< 0.1%
36.9478299 1
< 0.1%
36.9543637942 1
< 0.1%
ValueCountFrequency (%)
38.1842379 1
< 0.1%
38.1443017 1
< 0.1%
38.1437455 1
< 0.1%
38.1332425 1
< 0.1%
38.1323841 1
< 0.1%
38.1042176 1
< 0.1%
38.1015227 1
< 0.1%
38.1011832835 1
< 0.1%
38.100082 1
< 0.1%
38.0996676 1
< 0.1%

WGS84경도
Real number (ℝ)

MISSING 

Distinct8728
Distinct (%)90.8%
Missing390
Missing (%)3.9%
Infinite0
Infinite (%)0.0%
Mean126.98901
Minimum126.53032
Maximum127.74759
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:44:23.365016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.53032
5-th percentile126.7438
Q1126.81348
median126.97193
Q3127.11475
95-th percentile127.39581
Maximum127.74759
Range1.2172733
Interquartile range (IQR)0.30126301

Descriptive statistics

Standard deviation0.20008568
Coefficient of variation (CV)0.0015756142
Kurtosis0.60110592
Mean126.98901
Median Absolute Deviation (MAD)0.15067485
Skewness0.79179547
Sum1220364.4
Variance0.04003428
MonotonicityNot monotonic
2023-12-11T06:44:23.516375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7945922 20
 
0.2%
127.4912854 11
 
0.1%
127.2780025 9
 
0.1%
126.7828033 8
 
0.1%
126.9560033 7
 
0.1%
126.9313682 7
 
0.1%
126.7556109 7
 
0.1%
126.8882381 7
 
0.1%
126.8347467 7
 
0.1%
126.8031376 7
 
0.1%
Other values (8718) 9520
95.2%
(Missing) 390
 
3.9%
ValueCountFrequency (%)
126.5303195 1
< 0.1%
126.5329226 1
< 0.1%
126.5344002 1
< 0.1%
126.5375673 1
< 0.1%
126.5460054 1
< 0.1%
126.55362 1
< 0.1%
126.5541798 1
< 0.1%
126.5556724 1
< 0.1%
126.5583146 1
< 0.1%
126.5599843 1
< 0.1%
ValueCountFrequency (%)
127.7475928 1
< 0.1%
127.743847 1
< 0.1%
127.7265428134 1
< 0.1%
127.7235581364 1
< 0.1%
127.7087335 1
< 0.1%
127.7084254 1
< 0.1%
127.7080886053 1
< 0.1%
127.7044383 1
< 0.1%
127.6819976871 1
< 0.1%
127.6805526 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

폐업일자
Text

MISSING 

Distinct3780
Distinct (%)47.5%
Missing2040
Missing (%)20.4%
Memory size156.2 KiB
2023-12-11T06:44:23.841866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.0484925
Min length6

Characters and Unicode

Total characters64066
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

Unique1960 ?
Unique (%)24.6%

Sample

1st row20020703
2nd row20210203
3rd row20051214
4th row20021129
5th row20101201
ValueCountFrequency (%)
20121002 38
 
0.5%
20050802 28
 
0.4%
20060725 27
 
0.3%
20050826 24
 
0.3%
20011110 20
 
0.3%
20060905 20
 
0.3%
20041214 19
 
0.2%
20060523 19
 
0.2%
20010801 18
 
0.2%
20050222 18
 
0.2%
Other values (3770) 7729
97.1%
2023-12-11T06:44:24.286280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 22817
35.6%
2 14623
22.8%
1 10276
16.0%
3 2750
 
4.3%
4 2490
 
3.9%
5 2336
 
3.6%
6 2247
 
3.5%
8 2062
 
3.2%
9 2047
 
3.2%
7 2030
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 63678
99.4%
Dash Punctuation 388
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 22817
35.8%
2 14623
23.0%
1 10276
16.1%
3 2750
 
4.3%
4 2490
 
3.9%
5 2336
 
3.7%
6 2247
 
3.5%
8 2062
 
3.2%
9 2047
 
3.2%
7 2030
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 388
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 64066
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 22817
35.6%
2 14623
22.8%
1 10276
16.0%
3 2750
 
4.3%
4 2490
 
3.9%
5 2336
 
3.6%
6 2247
 
3.5%
8 2062
 
3.2%
9 2047
 
3.2%
7 2030
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 64066
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 22817
35.6%
2 14623
22.8%
1 10276
16.0%
3 2750
 
4.3%
4 2490
 
3.9%
5 2336
 
3.6%
6 2247
 
3.5%
8 2062
 
3.2%
9 2047
 
3.2%
7 2030
 
3.2%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7752
Missing (%)77.5%
Memory size156.2 KiB

업태구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
식품자동판매기영업
9999 
<NA>
 
1

Length

Max length9
Median length9
Mean length8.9995
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
식품자동판매기영업 9999
> 99.9%
<NA> 1
 
< 0.1%

Length

2023-12-11T06:44:24.427101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:44:24.535599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품자동판매기영업 9999
> 99.9%
na 1
 
< 0.1%

X좌표값
Real number (ℝ)

MISSING 

Distinct8067
Distinct (%)90.6%
Missing1098
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean198973.86
Minimum158529.9
Maximum266006.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:44:24.673527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum158529.9
5-th percentile177427.69
Q1183624.08
median197761.9
Q3210141.45
95-th percentile233383.96
Maximum266006.16
Range107476.25
Interquartile range (IQR)26517.371

Descriptive statistics

Standard deviation17463.408
Coefficient of variation (CV)0.087767347
Kurtosis0.58577748
Mean198973.86
Median Absolute Deviation (MAD)13176.643
Skewness0.76386057
Sum1.7712653 × 109
Variance3.0497061 × 108
MonotonicityNot monotonic
2023-12-11T06:44:24.832019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
224575.179489134 10
 
0.1%
180724.082487894 9
 
0.1%
190043.009457005 8
 
0.1%
182498.419113229 7
 
0.1%
184436.090447315 7
 
0.1%
185280.88157797 7
 
0.1%
206779.405225229 6
 
0.1%
193729.872096481 6
 
0.1%
181727.683200933 6
 
0.1%
193762.569102673 5
 
0.1%
Other values (8057) 8831
88.3%
(Missing) 1098
 
11.0%
ValueCountFrequency (%)
158529.902137014 1
< 0.1%
158759.89161573 1
< 0.1%
158888.877879288 1
< 0.1%
159167.188830819 1
< 0.1%
159916.818854057 1
< 0.1%
160559.589696593 1
< 0.1%
160629.096172044 1
< 0.1%
160768.155927969 1
< 0.1%
160989.374682256 1
< 0.1%
161130.867992052 1
< 0.1%
ValueCountFrequency (%)
266006.156510223 1
< 0.1%
265764.643927842 1
< 0.1%
264127.450458796 1
< 0.1%
262690.936071164 1
< 0.1%
262560.891945799 1
< 0.1%
262533.566633176 1
< 0.1%
262338.468623772 1
< 0.1%
260404.511386224 1
< 0.1%
260252.214890777 1
< 0.1%
260154.862097068 1
< 0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct8067
Distinct (%)90.6%
Missing1098
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean437813.24
Minimum379885.49
Maximum560834.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:44:24.986531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum379885.49
5-th percentile402469.41
Q1423060.22
median434170.26
Q3454314.46
95-th percentile475631.57
Maximum560834.91
Range180949.42
Interquartile range (IQR)31254.237

Descriptive statistics

Standard deviation22229.314
Coefficient of variation (CV)0.050773506
Kurtosis0.29942215
Mean437813.24
Median Absolute Deviation (MAD)12164.116
Skewness0.33763227
Sum3.8974135 × 109
Variance4.9414238 × 108
MonotonicityNot monotonic
2023-12-11T06:44:25.147732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
426086.778822432 10
 
0.1%
442449.515665699 9
 
0.1%
437292.493797612 8
 
0.1%
430892.528214138 7
 
0.1%
424158.8252823 7
 
0.1%
421578.196815357 7
 
0.1%
472877.607767168 6
 
0.1%
428221.430499605 6
 
0.1%
460855.679685362 6
 
0.1%
433509.650129486 5
 
0.1%
Other values (8057) 8831
88.3%
(Missing) 1098
 
11.0%
ValueCountFrequency (%)
379885.48647869 1
< 0.1%
381508.561630158 1
< 0.1%
382416.384627359 1
< 0.1%
382561.068636746 1
< 0.1%
382572.61581507 1
< 0.1%
382593.334348467 1
< 0.1%
382929.827289547 1
< 0.1%
383587.139925194 1
< 0.1%
383779.450640695 1
< 0.1%
383861.896635448 1
< 0.1%
ValueCountFrequency (%)
560834.907896845 2
< 0.1%
520256.146336136 1
< 0.1%
520159.12020344 1
< 0.1%
510976.653386611 1
< 0.1%
510930.811492228 1
< 0.1%
510815.368872742 1
< 0.1%
510769.717863005 1
< 0.1%
510538.081721329 1
< 0.1%
510448.902987616 1
< 0.1%
509642.681873571 1
< 0.1%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
식품자동판매기영업
9998 
<NA>
 
2

Length

Max length9
Median length9
Mean length8.999
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품자동판매기영업 9998
> 99.9%
<NA> 2
 
< 0.1%

Length

2023-12-11T06:44:25.304701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:44:25.670148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품자동판매기영업 9998
> 99.9%
na 2
 
< 0.1%

남성종사자수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8258 
0
1742 

Length

Max length4
Median length4
Mean length3.4774
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 8258
82.6%
0 1742
 
17.4%

Length

2023-12-11T06:44:25.775757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:44:25.871933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8258
82.6%
0 1742
 
17.4%

여성종사자수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8258 
0
1742 

Length

Max length4
Median length4
Mean length3.4774
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 8258
82.6%
0 1742
 
17.4%

Length

2023-12-11T06:44:25.976611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:44:26.074404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8258
82.6%
0 1742
 
17.4%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

급수시설구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8135 
상수도전용
1773 
지하수전용
 
83
간이상수도
 
4
전용상수도(특정시설의 자가용 수도)
 
4

Length

Max length19
Median length4
Mean length4.1933
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8135
81.3%
상수도전용 1773
 
17.7%
지하수전용 83
 
0.8%
간이상수도 4
 
< 0.1%
전용상수도(특정시설의 자가용 수도) 4
 
< 0.1%
상수도(음용)지하수(주방용)겸용 1
 
< 0.1%

Length

2023-12-11T06:44:26.193653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:44:26.304565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8135
81.3%
상수도전용 1773
 
17.7%
지하수전용 83
 
0.8%
간이상수도 4
 
< 0.1%
전용상수도(특정시설의 4
 
< 0.1%
자가용 4
 
< 0.1%
수도 4
 
< 0.1%
상수도(음용)지하수(주방용)겸용 1
 
< 0.1%

총종업원수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8761 
0
1239 

Length

Max length4
Median length4
Mean length3.6283
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8761
87.6%
0 1239
 
12.4%

Length

2023-12-11T06:44:26.423414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:44:26.515426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8761
87.6%
0 1239
 
12.4%

본사종업원수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct6
Distinct (%)0.1%
Missing3626
Missing (%)36.3%
Infinite0
Infinite (%)0.0%
Mean0.0047066206
Minimum0
Maximum11
Zeros6365
Zeros (%)63.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:44:26.606062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.17530713
Coefficient of variation (CV)37.246922
Kurtosis2760.0672
Mean0.0047066206
Median Absolute Deviation (MAD)0
Skewness49.563004
Sum30
Variance0.030732591
MonotonicityNot monotonic
2023-12-11T06:44:26.729468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 6365
63.6%
1 5
 
0.1%
3 1
 
< 0.1%
6 1
 
< 0.1%
11 1
 
< 0.1%
5 1
 
< 0.1%
(Missing) 3626
36.3%
ValueCountFrequency (%)
0 6365
63.6%
1 5
 
0.1%
3 1
 
< 0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
11 1
 
< 0.1%
ValueCountFrequency (%)
11 1
 
< 0.1%
6 1
 
< 0.1%
5 1
 
< 0.1%
3 1
 
< 0.1%
1 5
 
0.1%
0 6365
63.6%

공장사무직종업원수
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
6367 
<NA>
3628 
1
 
5

Length

Max length4
Median length1
Mean length2.0884
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
0 6367
63.7%
<NA> 3628
36.3%
1 5
 
0.1%

Length

2023-12-11T06:44:26.867135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:44:26.984121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6367
63.7%
na 3628
36.3%
1 5
 
< 0.1%

공장판매직종업원수
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
6279 
<NA>
3622 
1
 
98
3
 
1

Length

Max length4
Median length1
Mean length2.0866
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
0 6279
62.8%
<NA> 3622
36.2%
1 98
 
1.0%
3 1
 
< 0.1%

Length

2023-12-11T06:44:27.100140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:44:27.204865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6279
62.8%
na 3622
36.2%
1 98
 
1.0%
3 1
 
< 0.1%

공장생산직종업원수
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
6369 
<NA>
3629 
1
 
2

Length

Max length4
Median length1
Mean length2.0887
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
0 6369
63.7%
<NA> 3629
36.3%
1 2
 
< 0.1%

Length

2023-12-11T06:44:27.316507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:44:27.416619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6369
63.7%
na 3629
36.3%
1 2
 
< 0.1%

건물소유구분명
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6902 
자가
2585 
임대
 
513

Length

Max length4
Median length4
Mean length3.3804
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6902
69.0%
자가 2585
 
25.9%
임대 513
 
5.1%

Length

2023-12-11T06:44:27.529655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:44:27.638927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6902
69.0%
자가 2585
 
25.9%
임대 513
 
5.1%

보증액
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct6
Distinct (%)0.2%
Missing6485
Missing (%)64.8%
Infinite0
Infinite (%)0.0%
Mean85348.506
Minimum0
Maximum50000000
Zeros3500
Zeros (%)35.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:44:27.753265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum50000000
Range50000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1525200.5
Coefficient of variation (CV)17.870266
Kurtosis578.78139
Mean85348.506
Median Absolute Deviation (MAD)0
Skewness22.463371
Sum3 × 108
Variance2.3262366 × 1012
MonotonicityNot monotonic
2023-12-11T06:44:27.877288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 3500
35.0%
10000000 7
 
0.1%
20000000 4
 
< 0.1%
30000000 2
 
< 0.1%
50000000 1
 
< 0.1%
40000000 1
 
< 0.1%
(Missing) 6485
64.8%
ValueCountFrequency (%)
0 3500
35.0%
10000000 7
 
0.1%
20000000 4
 
< 0.1%
30000000 2
 
< 0.1%
40000000 1
 
< 0.1%
50000000 1
 
< 0.1%
ValueCountFrequency (%)
50000000 1
 
< 0.1%
40000000 1
 
< 0.1%
30000000 2
 
< 0.1%
20000000 4
 
< 0.1%
10000000 7
 
0.1%
0 3500
35.0%

월세액
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct10
Distinct (%)0.3%
Missing6488
Missing (%)64.9%
Infinite0
Infinite (%)0.0%
Mean3986.3383
Minimum0
Maximum2500000
Zeros3500
Zeros (%)35.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:44:27.979007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2500000
Range2500000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation74188.363
Coefficient of variation (CV)18.610654
Kurtosis538.39961
Mean3986.3383
Median Absolute Deviation (MAD)0
Skewness21.598543
Sum14000020
Variance5.5039132 × 109
MonotonicityNot monotonic
2023-12-11T06:44:28.090246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 3500
35.0%
1000000 2
 
< 0.1%
1200000 2
 
< 0.1%
900000 2
 
< 0.1%
1500000 1
 
< 0.1%
2500000 1
 
< 0.1%
200000 1
 
< 0.1%
1100000 1
 
< 0.1%
1200020 1
 
< 0.1%
1300000 1
 
< 0.1%
(Missing) 6488
64.9%
ValueCountFrequency (%)
0 3500
35.0%
200000 1
 
< 0.1%
900000 2
 
< 0.1%
1000000 2
 
< 0.1%
1100000 1
 
< 0.1%
1200000 2
 
< 0.1%
1200020 1
 
< 0.1%
1300000 1
 
< 0.1%
1500000 1
 
< 0.1%
2500000 1
 
< 0.1%
ValueCountFrequency (%)
2500000 1
 
< 0.1%
1500000 1
 
< 0.1%
1300000 1
 
< 0.1%
1200020 1
 
< 0.1%
1200000 2
 
< 0.1%
1100000 1
 
< 0.1%
1000000 2
 
< 0.1%
900000 2
 
< 0.1%
200000 1
 
< 0.1%
0 3500
35.0%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Memory size97.7 KiB
False
9991 
True
 
8
(Missing)
 
1
ValueCountFrequency (%)
False 9991
99.9%
True 8
 
0.1%
(Missing) 1
 
< 0.1%
2023-12-11T06:44:28.200784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct15
Distinct (%)0.2%
Missing3002
Missing (%)30.0%
Infinite0
Infinite (%)0.0%
Mean0.02418834
Minimum0
Maximum85
Zeros6969
Zeros (%)69.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:44:28.296452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum85
Range85
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0370518
Coefficient of variation (CV)42.874038
Kurtosis6445.9465
Mean0.02418834
Median Absolute Deviation (MAD)0
Skewness78.809352
Sum169.27
Variance1.0754764
MonotonicityNot monotonic
2023-12-11T06:44:28.420206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 6969
69.7%
3.3 11
 
0.1%
2.0 4
 
< 0.1%
3.0 2
 
< 0.1%
1.65 2
 
< 0.1%
5.0 1
 
< 0.1%
2.61 1
 
< 0.1%
3.6 1
 
< 0.1%
6.6 1
 
< 0.1%
1.2 1
 
< 0.1%
Other values (5) 5
 
0.1%
(Missing) 3002
30.0%
ValueCountFrequency (%)
0.0 6969
69.7%
0.5 1
 
< 0.1%
1.0 1
 
< 0.1%
1.2 1
 
< 0.1%
1.65 2
 
< 0.1%
2.0 4
 
< 0.1%
2.61 1
 
< 0.1%
3.0 2
 
< 0.1%
3.3 11
 
0.1%
3.6 1
 
< 0.1%
ValueCountFrequency (%)
85.0 1
 
< 0.1%
6.6 1
 
< 0.1%
6.16 1
 
< 0.1%
5.0 1
 
< 0.1%
4.0 1
 
< 0.1%
3.6 1
 
< 0.1%
3.3 11
0.1%
3.0 2
 
< 0.1%
2.61 1
 
< 0.1%
2.0 4
 
< 0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

홈페이지
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9999 
2
 
1

Length

Max length4
Median length4
Mean length3.9997
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9999
> 99.9%
2 1
 
< 0.1%

Length

2023-12-11T06:44:28.566306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:44:28.656279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9999
> 99.9%
2 1
 
< 0.1%

Sample

시군명사업장명영업상태인허가일자도로명주소지번주소우편번호전화번호WGS84위도WGS84경도인허가취소일자폐업일자휴업시작일자휴업종료일자재개업일자소재지면적업태구분명X좌표값Y좌표값위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
26263안양시신중문구사폐업20000228경기도 안양시 동안구 경수대로610번길 64 (호계동)경기도 안양시 동안구 호계동 1084번지14109429328537.377944126.959335<NA>20020703<NA><NA><NA>NaN식품자동판매기영업196332.879131430661.536478식품자동판매기영업00<NA><NA><NA><NA>0000<NA>00N0.0<NA><NA><NA>
36316평택시GS25 비전푸르지오점폐업20180702경기도 평택시 용죽2로 24, 1층 101호 (용이동, 평택비전센트럴 푸르지오)경기도 평택시 용이동 650 평택비전센트럴 푸르지오 101호17870<NA>36.993731127.121031<NA>20210203<NA><NA><NA>0.0식품자동판매기영업210784.519548388070.516372식품자동판매기영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA>임대<NA><NA>N<NA><NA><NA><NA>
34480이천시이마트24 이천백사점영업20181217경기도 이천시 백사면 이여로 293, 3동경기도 이천시 백사면 조읍리 600-2번지 3동17310<NA>37.322236127.472961<NA><NA><NA><NA><NA>1.0식품자동판매기영업241855.902213424580.949489식품자동판매기영업<NA><NA><NA><NA>지하수전용<NA><NA><NA><NA><NA>자가<NA><NA>N<NA><NA><NA><NA>
24001안산시하이마트옆폐업20030121경기도 안산시 상록구 각골로 52 (본오동)경기도 안산시 상록구 본오동 770-18번지15548419449037.294067126.872825<NA>20051214<NA><NA><NA>NaN식품자동판매기영업188657.366805421358.56376식품자동판매기영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
26627안양시영국제과폐업19980420경기도 안양시 만안구 석천로181번길 18 (석수동)경기도 안양시 만안구 석수동 280-7번지13968473322737.413387126.908562<NA>20021129<NA><NA><NA>NaN식품자동판매기영업191840.557378434597.887491식품자동판매기영업00<NA><NA><NA><NA>0000<NA>00N0.0<NA><NA><NA>
16871수원시동수원병원상조회영업20010802경기도 수원시 팔달구 중부대로 165 (우만동)경기도 수원시 팔달구 우만동 157-716494031 210012137.278628127.033889<NA><NA><NA><NA><NA>.00식품자동판매기영업202935.440273419632.924457식품자동판매기영업<NA><NA><NA><NA><NA><NA>0000자가<NA><NA>N<NA><NA><NA><NA>
22552안산시선부동9단지(아)앞폐업20010801<NA>경기도 안산시 단원구 선부동 0번지 9단지(아)앞<NA>031 414786837.346801126.80511<NA>20101201<NA><NA><NA>NaN식품자동판매기영업<NA><NA>식품자동판매기영업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
33520의정부시제일마산아구찜폐업20010703경기도 의정부시 신흥로239번길 39-6 1층 통 (의정부동)경기도 의정부시 의정부동 509-2번지 1층통11650031 871984037.737177127.04066<NA>20080519<NA><NA><NA>0.0식품자동판매기영업203519.3470534.19식품자동판매기영업<NA><NA><NA><NA><NA><NA>0000<NA>00N0.0<NA><NA><NA>
9891부천시다솜유통앞폐업20030908경기도 부천시 부천로 185 (춘의동)경기도 부천시 춘의동 210-1번지14553668504437.500397126.786046<NA>20130522<NA><NA><NA>NaN식품자동판매기영업181015.05914444273.023821식품자동판매기영업<NA><NA><NA><NA><NA><NA>0000자가00N0.0<NA><NA><NA>
29227연천군한진주유소폐업19960401<NA>경기도 연천군 전곡읍 전곡리 6-10번지11025<NA>38.036676127.076558<NA>20041130<NA><NA><NA>NaN식품자동판매기영업<NA><NA>식품자동판매기영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
시군명사업장명영업상태인허가일자도로명주소지번주소우편번호전화번호WGS84위도WGS84경도인허가취소일자폐업일자휴업시작일자휴업종료일자재개업일자소재지면적업태구분명X좌표값Y좌표값위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
21944안산시대한부동산앞폐업20030408경기도 안산시 단원구 신길중앙로1길 54 (신길동)경기도 안산시 단원구 신길동 1420-3번지15398<NA>37.335227126.763559<NA>20040119<NA><NA><NA>NaN식품자동판매기영업178979.654955425947.501654식품자동판매기영업<NA><NA><NA><NA><NA><NA>0000자가00N0.0<NA><NA><NA>
18634수원시조원동사무소폐업20011112경기도 수원시 장안구 송원로86번길 48-7경기도 수원시 장안구 조원동 753-616284031 228 573037.300433127.011718<NA>20120925<NA><NA><NA>NaN식품자동판매기영업200968.322854422049.388757식품자동판매기영업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N<NA><NA><NA><NA>
3410광명시미진슈퍼폐업19971020경기도 광명시 가림로 22 B상가 106 (하안동)경기도 광명시 하안동 684번지 B상가 1061425802 898046337.464515126.868099<NA>20060525<NA><NA><NA>.00식품자동판매기영업188264.669364440277.35312식품자동판매기영업<NA><NA><NA><NA><NA><NA>0000<NA>00N0.0<NA><NA><NA>
9778부천시나드리콜라텍매점영업20180828경기도 부천시 원종로 64, 부천프라자 7층 1호 (원종동)경기도 부천시 원종동 313-10번지 부천프라자14424<NA>37.523679126.806872<NA><NA><NA><NA><NA>NaN식품자동판매기영업182864.109601446854.109067식품자동판매기영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
6635김포시CU M장기역점폐업2019-10-22경기도 김포시 김포한강1로 지하 59, 장기역 (장기동)경기도 김포시 장기동 1798 장기역10083<NA>37.644091126.669062<NA>2023-01-27<NA><NA><NA>3.30식품자동판매기영업170531.35277459967.242506식품자동판매기영업00<NA><NA><NA>00000임대00N<NA><NA><NA><NA>
18707수원시지에스(GS)25영통망포점폐업20120131경기도 수원시 영통구 영통로112번길 24 (망포동, 540-15번지)경기도 수원시 영통구 망포동 540-1516692<NA>37.239082127.056907<NA>20121213<NA><NA><NA>NaN식품자동판매기영업204971.510039415242.594658식품자동판매기영업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N<NA><NA><NA><NA>
35768파주시이마트24 금촌일방로점영업20180911경기도 파주시 문화로 **, *층 일부호 (금촌동)경기도 파주시 금촌동 **-*<NA><NA><NA><NA><NA><NA><NA><NA><NA>3.3식품자동판매기영업180118.76759473227.509158식품자동판매기영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N<NA><NA><NA><NA>
19574시흥시계경목장폐업20010608<NA>경기도 시흥시 신천동 103-3번지 101호<NA>031 312002337.431772126.793023<NA>20040728<NA><NA><NA>NaN식품자동판매기영업<NA><NA>식품자동판매기영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
23201안산시영재문구앞폐업20040430경기도 안산시 상록구 각골서로 48 (본오동, 영재문구앞)경기도 안산시 상록구 본오동 789-9번지 영재문구앞15549031 417160337.294424126.869712<NA>20120517<NA><NA><NA>NaN식품자동판매기영업188381.872569421399.160883식품자동판매기영업<NA><NA><NA><NA><NA><NA>0000자가<NA><NA>N0.0<NA><NA><NA>
7190김포시이마트24김포운양점폐업20171013경기도 김포시 김포한강11로 288-24, 112호 (운양동, 더크리스탈빌딩 이마트24 김포운양점 내)경기도 김포시 운양동 1299-5번지 더크리스탈빌딩 이마트24 김포운양점 내 112호10073031 986 438237.654186126.683361<NA>20181123<NA><NA><NA>3.30식품자동판매기영업171992.773528461367.700447식품자동판매기영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA>임대<NA><NA>N<NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

시군명사업장명영업상태인허가일자도로명주소지번주소우편번호전화번호WGS84위도WGS84경도폐업일자업태구분명X좌표값Y좌표값위생업태명남성종사자수여성종사자수급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모홈페이지# duplicates
0고양시(주)삼성A.T.M폐업19970421<NA>경기도 고양시 덕양구 용두동 산 17번지1054802 574322137.628221126.89089120050222식품자동판매기영업<NA><NA>식품자동판매기영업<NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA>4
13부천시카톨릭대폐업19980707<NA>경기도 부천시 역곡동 산 43-1번지14662028015 51237.487791126.80023920050419식품자동판매기영업182266.817581442871.328113식품자동판매기영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA>4
1고양시(주)삼성A.T.M폐업19970421<NA>경기도 고양시 덕양구 원당동 산 38-39번지1029202 574322137.664937126.85901120011110식품자동판매기영업<NA><NA>식품자동판매기영업<NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA>3
5고양시고양종합고등학교폐업19970320경기도 고양시 덕양구 삼송로 171 (삼송동)경기도 고양시 덕양구 삼송동 45-2번지1055602 381902137.654855126.89195120000124식품자동판매기영업190399.606836461400.915852식품자동판매기영업<NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA>3
10군포시농심폐업19921012경기도 군포시 농심로 35 (당정동)경기도 군포시 당정동 203-1번지15842031 457010337.362389126.95250320160810식품자동판매기영업195892.697563428800.691361식품자동판매기영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA>3
16안양시태광(주)폐업19970818경기도 안양시 만안구 전파로 53 (안양동)경기도 안양시 만안구 안양동 191-1번지14084444358937.390918126.93861720000403식품자동판매기영업194497.870683432104.258111식품자동판매기영업00<NA><NA>0000<NA>00N0.0<NA>3
21이천시(주)휘닉스벤딩서비스폐업20011129<NA>경기도 이천시 마장면 덕평리 산 34번지<NA><NA>37.228664127.35391820050111식품자동판매기영업<NA><NA>식품자동판매기영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA>3
22이천시캐리어엘지(유)폐업20011016경기도 이천시 마장면 지산로 167-72 (해월리)경기도 이천시 마장면 해월리 165번지17390<NA>37.210976127.35391520030429식품자동판매기영업231350.959754412187.171704식품자동판매기영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA>3
23파주시군부대자판기폐업19970416<NA>경기도 파주시 아동동 38-0번지10944003137.759007126.79306720011110식품자동판매기영업<NA><NA>식품자동판매기영업<NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA>3
2고양시(주)삼성A.T.M폐업19970421<NA>경기도 고양시 덕양구 지축동 산 11-1번지1058002 574322137.678246126.94502420050222식품자동판매기영업<NA><NA>식품자동판매기영업<NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA>2