Overview

Dataset statistics

Number of variables44
Number of observations2864
Missing cells29542
Missing cells (%)23.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 MiB
Average record size in memory376.0 B

Variable types

Categorical21
Text6
DateTime4
Unsupported7
Numeric5
Boolean1

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),위생업태명,남성종사자수,여성종사자수,영업장주변구분명,등급구분명,급수시설구분명,총인원,본사종업원수,공장사무직종업원수,공장판매직종업원수,공장생산직종업원수,건물소유구분명,보증액,월세액,다중이용업소여부,시설총규모,전통업소지정번호,전통업소주된음식,홈페이지
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-18227/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
데이터갱신구분 is highly imbalanced (63.0%)Imbalance
위생업태명 is highly imbalanced (81.6%)Imbalance
남성종사자수 is highly imbalanced (51.9%)Imbalance
급수시설구분명 is highly imbalanced (86.5%)Imbalance
총인원 is highly imbalanced (90.3%)Imbalance
보증액 is highly imbalanced (71.1%)Imbalance
월세액 is highly imbalanced (66.6%)Imbalance
다중이용업소여부 is highly imbalanced (99.5%)Imbalance
인허가취소일자 has 2864 (100.0%) missing valuesMissing
폐업일자 has 482 (16.8%) missing valuesMissing
휴업시작일자 has 2864 (100.0%) missing valuesMissing
휴업종료일자 has 2864 (100.0%) missing valuesMissing
재개업일자 has 2864 (100.0%) missing valuesMissing
전화번호 has 655 (22.9%) missing valuesMissing
소재지면적 has 2686 (93.8%) missing valuesMissing
도로명주소 has 2137 (74.6%) missing valuesMissing
도로명우편번호 has 2162 (75.5%) missing valuesMissing
좌표정보(X) has 602 (21.0%) missing valuesMissing
좌표정보(Y) has 602 (21.0%) missing valuesMissing
다중이용업소여부 has 80 (2.8%) missing valuesMissing
시설총규모 has 80 (2.8%) missing valuesMissing
전통업소지정번호 has 2864 (100.0%) missing valuesMissing
전통업소주된음식 has 2864 (100.0%) missing valuesMissing
홈페이지 has 2864 (100.0%) missing valuesMissing
시설총규모 is highly skewed (γ1 = 20.55074984)Skewed
관리번호 has unique valuesUnique
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
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
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설총규모 has 2709 (94.6%) zerosZeros

Reproduction

Analysis started2024-05-18 02:21:12.549762
Analysis finished2024-05-18 02:21:14.772793
Duration2.22 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size22.5 KiB
3000000
2864 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3000000
2nd row3000000
3rd row3000000
4th row3000000
5th row3000000

Common Values

ValueCountFrequency (%)
3000000 2864
100.0%

Length

2024-05-18T11:21:14.964619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:21:15.311038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 2864
100.0%

관리번호
Text

UNIQUE 

Distinct2864
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size22.5 KiB
2024-05-18T11:21:15.732046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters63008
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

Unique2864 ?
Unique (%)100.0%

Sample

1st row3000000-112-1981-00049
2nd row3000000-112-1981-00050
3rd row3000000-112-1981-00051
4th row3000000-112-1981-00052
5th row3000000-112-1981-00053
ValueCountFrequency (%)
3000000-112-1981-00049 1
 
< 0.1%
3000000-112-2001-01914 1
 
< 0.1%
3000000-112-2001-01894 1
 
< 0.1%
3000000-112-2001-01903 1
 
< 0.1%
3000000-112-2001-01895 1
 
< 0.1%
3000000-112-2001-01896 1
 
< 0.1%
3000000-112-2001-01897 1
 
< 0.1%
3000000-112-2001-01898 1
 
< 0.1%
3000000-112-2001-01899 1
 
< 0.1%
3000000-112-2001-01900 1
 
< 0.1%
Other values (2854) 2854
99.7%
2024-05-18T11:21:16.647847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 25694
40.8%
1 10170
 
16.1%
- 8592
 
13.6%
2 5330
 
8.5%
3 4146
 
6.6%
9 3990
 
6.3%
8 1451
 
2.3%
4 971
 
1.5%
6 927
 
1.5%
5 882
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 54416
86.4%
Dash Punctuation 8592
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 25694
47.2%
1 10170
 
18.7%
2 5330
 
9.8%
3 4146
 
7.6%
9 3990
 
7.3%
8 1451
 
2.7%
4 971
 
1.8%
6 927
 
1.7%
5 882
 
1.6%
7 855
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 8592
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 63008
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 25694
40.8%
1 10170
 
16.1%
- 8592
 
13.6%
2 5330
 
8.5%
3 4146
 
6.6%
9 3990
 
6.3%
8 1451
 
2.3%
4 971
 
1.5%
6 927
 
1.5%
5 882
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 63008
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 25694
40.8%
1 10170
 
16.1%
- 8592
 
13.6%
2 5330
 
8.5%
3 4146
 
6.6%
9 3990
 
6.3%
8 1451
 
2.3%
4 971
 
1.5%
6 927
 
1.5%
5 882
 
1.4%

인허가일자
Date

Distinct1260
Distinct (%)44.0%
Missing0
Missing (%)0.0%
Memory size22.5 KiB
Minimum1981-10-23 00:00:00
Maximum2024-04-18 00:00:00
2024-05-18T11:21:17.085742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:21:17.563719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2864
Missing (%)100.0%
Memory size25.3 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.5 KiB
3
2382 
1
482 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 2382
83.2%
1 482
 
16.8%

Length

2024-05-18T11:21:17.981494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:21:18.310513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2382
83.2%
1 482
 
16.8%

영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.5 KiB
폐업
2382 
영업/정상
482 

Length

Max length5
Median length2
Mean length2.5048883
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2382
83.2%
영업/정상 482
 
16.8%

Length

2024-05-18T11:21:18.665954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:21:18.977083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2382
83.2%
영업/정상 482
 
16.8%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.5 KiB
2
2382 
1
482 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 2382
83.2%
1 482
 
16.8%

Length

2024-05-18T11:21:19.333016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:21:19.642959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 2382
83.2%
1 482
 
16.8%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.5 KiB
폐업
2382 
영업
482 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2382
83.2%
영업 482
 
16.8%

Length

2024-05-18T11:21:19.965914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:21:20.374051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2382
83.2%
영업 482
 
16.8%

폐업일자
Date

MISSING 

Distinct1093
Distinct (%)45.9%
Missing482
Missing (%)16.8%
Memory size22.5 KiB
Minimum1987-04-15 00:00:00
Maximum2024-05-03 00:00:00
2024-05-18T11:21:20.833015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:21:21.309077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2864
Missing (%)100.0%
Memory size25.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2864
Missing (%)100.0%
Memory size25.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2864
Missing (%)100.0%
Memory size25.3 KiB

전화번호
Text

MISSING 

Distinct509
Distinct (%)23.0%
Missing655
Missing (%)22.9%
Memory size22.5 KiB
2024-05-18T11:21:22.074163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.9062924
Min length2

Characters and Unicode

Total characters21883
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

Unique427 ?
Unique (%)19.3%

Sample

1st row0200000000
2nd row0200000000
3rd row0200000000
4th row0200000000
5th row0200000000
ValueCountFrequency (%)
02 1046
31.7%
0200000000 933
28.3%
00000 395
 
12.0%
100 40
 
1.2%
5111762 38
 
1.2%
5293326 35
 
1.1%
0234868686 28
 
0.8%
0232728988 22
 
0.7%
0237007710 12
 
0.4%
7411923 11
 
0.3%
Other values (537) 735
22.3%
2024-05-18T11:21:23.367164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12176
55.6%
2 3084
 
14.1%
1988
 
9.1%
7 847
 
3.9%
3 732
 
3.3%
6 619
 
2.8%
1 557
 
2.5%
8 551
 
2.5%
4 461
 
2.1%
9 450
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19895
90.9%
Space Separator 1988
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12176
61.2%
2 3084
 
15.5%
7 847
 
4.3%
3 732
 
3.7%
6 619
 
3.1%
1 557
 
2.8%
8 551
 
2.8%
4 461
 
2.3%
9 450
 
2.3%
5 418
 
2.1%
Space Separator
ValueCountFrequency (%)
1988
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21883
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12176
55.6%
2 3084
 
14.1%
1988
 
9.1%
7 847
 
3.9%
3 732
 
3.3%
6 619
 
2.8%
1 557
 
2.5%
8 551
 
2.5%
4 461
 
2.1%
9 450
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21883
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12176
55.6%
2 3084
 
14.1%
1988
 
9.1%
7 847
 
3.9%
3 732
 
3.3%
6 619
 
2.8%
1 557
 
2.5%
8 551
 
2.5%
4 461
 
2.1%
9 450
 
2.1%

소재지면적
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)14.0%
Missing2686
Missing (%)93.8%
Infinite0
Infinite (%)0.0%
Mean3.5421348
Minimum0
Maximum22
Zeros14
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size25.3 KiB
2024-05-18T11:21:23.837795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median3.3
Q33.3
95-th percentile8.235
Maximum22
Range22
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation2.8856957
Coefficient of variation (CV)0.81467697
Kurtosis18.164802
Mean3.5421348
Median Absolute Deviation (MAD)0.3
Skewness3.5820024
Sum630.5
Variance8.3272395
MonotonicityNot monotonic
2024-05-18T11:21:24.166538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3.3 71
 
2.5%
3.0 35
 
1.2%
3.6 16
 
0.6%
0.0 14
 
0.5%
1.0 8
 
0.3%
6.6 6
 
0.2%
1.5 4
 
0.1%
2.0 3
 
0.1%
6.0 3
 
0.1%
4.0 2
 
0.1%
Other values (15) 16
 
0.6%
(Missing) 2686
93.8%
ValueCountFrequency (%)
0.0 14
 
0.5%
0.3 1
 
< 0.1%
1.0 8
 
0.3%
1.1 1
 
< 0.1%
1.5 4
 
0.1%
2.0 3
 
0.1%
2.4 1
 
< 0.1%
3.0 35
1.2%
3.3 71
2.5%
3.6 16
 
0.6%
ValueCountFrequency (%)
22.0 1
 
< 0.1%
21.12 1
 
< 0.1%
14.85 1
 
< 0.1%
13.47 1
 
< 0.1%
12.0 1
 
< 0.1%
10.0 1
 
< 0.1%
9.9 1
 
< 0.1%
9.0 2
 
0.1%
8.1 1
 
< 0.1%
6.6 6
0.2%

소재지우편번호
Text

Distinct206
Distinct (%)7.2%
Missing4
Missing (%)0.1%
Memory size22.5 KiB
2024-05-18T11:21:25.090864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0202797
Min length6

Characters and Unicode

Total characters17218
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

Unique49 ?
Unique (%)1.7%

Sample

1st row110822
2nd row110822
3rd row110102
4th row110102
5th row110822
ValueCountFrequency (%)
110111 108
 
3.8%
110140 88
 
3.1%
110126 84
 
2.9%
110123 79
 
2.8%
110470 75
 
2.6%
110460 70
 
2.4%
110160 67
 
2.3%
110102 64
 
2.2%
110110 62
 
2.2%
110121 58
 
2.0%
Other values (196) 2105
73.6%
2024-05-18T11:21:26.780052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 7260
42.2%
0 4813
28.0%
2 1185
 
6.9%
8 779
 
4.5%
4 740
 
4.3%
3 641
 
3.7%
5 564
 
3.3%
7 540
 
3.1%
6 479
 
2.8%
9 159
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17160
99.7%
Dash Punctuation 58
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 7260
42.3%
0 4813
28.0%
2 1185
 
6.9%
8 779
 
4.5%
4 740
 
4.3%
3 641
 
3.7%
5 564
 
3.3%
7 540
 
3.1%
6 479
 
2.8%
9 159
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17218
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 7260
42.2%
0 4813
28.0%
2 1185
 
6.9%
8 779
 
4.5%
4 740
 
4.3%
3 641
 
3.7%
5 564
 
3.3%
7 540
 
3.1%
6 479
 
2.8%
9 159
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17218
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 7260
42.2%
0 4813
28.0%
2 1185
 
6.9%
8 779
 
4.5%
4 740
 
4.3%
3 641
 
3.7%
5 564
 
3.3%
7 540
 
3.1%
6 479
 
2.8%
9 159
 
0.9%

지번주소
Text

Distinct1694
Distinct (%)59.2%
Missing4
Missing (%)0.1%
Memory size22.5 KiB
2024-05-18T11:21:27.508866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length43
Mean length21.605245
Min length13

Characters and Unicode

Total characters61791
Distinct characters323
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1366 ?
Unique (%)47.8%

Sample

1st row서울특별시 종로구 세종로 178-0
2nd row서울특별시 종로구 세종로 178-0 현대자동차
3rd row서울특별시 종로구 평동 166-0 4.19도서관
4th row서울특별시 종로구 평동 166-0 4.19도서관
5th row서울특별시 종로구 세종로 178-0 현대인력개
ValueCountFrequency (%)
서울특별시 2860
22.7%
종로구 2860
22.7%
세종로 165
 
1.3%
숭인동 146
 
1.2%
창신동 145
 
1.2%
관철동 111
 
0.9%
수송동 103
 
0.8%
종로6가 92
 
0.7%
1층 87
 
0.7%
연지동 81
 
0.6%
Other values (1615) 5956
47.2%
2024-05-18T11:21:28.816877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12500
20.2%
로 3509
 
5.7%
종 3474
 
5.6%
서 2976
 
4.8%
구 2893
 
4.7%
울 2882
 
4.7%
시 2875
 
4.7%
별 2867
 
4.6%
특 2860
 
4.6%
1 2741
 
4.4%
Other values (313) 22214
36.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35750
57.9%
Space Separator 12500
 
20.2%
Decimal Number 10871
 
17.6%
Dash Punctuation 2381
 
3.9%
Uppercase Letter 104
 
0.2%
Close Punctuation 66
 
0.1%
Open Punctuation 66
 
0.1%
Other Punctuation 46
 
0.1%
Lowercase Letter 5
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 3509
9.8%
종 3474
9.7%
서 2976
 
8.3%
구 2893
 
8.1%
울 2882
 
8.1%
시 2875
 
8.0%
별 2867
 
8.0%
특 2860
 
8.0%
동 2325
 
6.5%
가 603
 
1.7%
Other values (276) 8486
23.7%
Uppercase Letter
ValueCountFrequency (%)
B 32
30.8%
D 26
25.0%
A 8
 
7.7%
S 8
 
7.7%
C 7
 
6.7%
G 5
 
4.8%
K 5
 
4.8%
T 3
 
2.9%
L 2
 
1.9%
Y 2
 
1.9%
Other values (4) 6
 
5.8%
Decimal Number
ValueCountFrequency (%)
1 2741
25.2%
0 1668
15.3%
2 1454
13.4%
3 858
 
7.9%
6 813
 
7.5%
4 800
 
7.4%
8 782
 
7.2%
5 720
 
6.6%
9 528
 
4.9%
7 507
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
a 1
20.0%
s 1
20.0%
t 1
20.0%
d 1
20.0%
b 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 25
54.3%
/ 14
30.4%
. 7
 
15.2%
Space Separator
ValueCountFrequency (%)
12500
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2381
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35750
57.9%
Common 25932
42.0%
Latin 109
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 3509
9.8%
종 3474
9.7%
서 2976
 
8.3%
구 2893
 
8.1%
울 2882
 
8.1%
시 2875
 
8.0%
별 2867
 
8.0%
특 2860
 
8.0%
동 2325
 
6.5%
가 603
 
1.7%
Other values (276) 8486
23.7%
Latin
ValueCountFrequency (%)
B 32
29.4%
D 26
23.9%
A 8
 
7.3%
S 8
 
7.3%
C 7
 
6.4%
G 5
 
4.6%
K 5
 
4.6%
T 3
 
2.8%
L 2
 
1.8%
Y 2
 
1.8%
Other values (9) 11
 
10.1%
Common
ValueCountFrequency (%)
12500
48.2%
1 2741
 
10.6%
- 2381
 
9.2%
0 1668
 
6.4%
2 1454
 
5.6%
3 858
 
3.3%
6 813
 
3.1%
4 800
 
3.1%
8 782
 
3.0%
5 720
 
2.8%
Other values (8) 1215
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35750
57.9%
ASCII 26041
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12500
48.0%
1 2741
 
10.5%
- 2381
 
9.1%
0 1668
 
6.4%
2 1454
 
5.6%
3 858
 
3.3%
6 813
 
3.1%
4 800
 
3.1%
8 782
 
3.0%
5 720
 
2.8%
Other values (27) 1324
 
5.1%
Hangul
ValueCountFrequency (%)
로 3509
9.8%
종 3474
9.7%
서 2976
 
8.3%
구 2893
 
8.1%
울 2882
 
8.1%
시 2875
 
8.0%
별 2867
 
8.0%
특 2860
 
8.0%
동 2325
 
6.5%
가 603
 
1.7%
Other values (276) 8486
23.7%

도로명주소
Text

MISSING 

Distinct619
Distinct (%)85.1%
Missing2137
Missing (%)74.6%
Memory size22.5 KiB
2024-05-18T11:21:29.465834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length46
Mean length28.028886
Min length20

Characters and Unicode

Total characters20377
Distinct characters273
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique565 ?
Unique (%)77.7%

Sample

1st row서울특별시 종로구 인사동길 24 (인사동)
2nd row서울특별시 종로구 삼일대로32길 31-11 (운니동)
3rd row서울특별시 종로구 청계천로 11 (서린동)
4th row서울특별시 종로구 삼일대로20길 6 (관철동)
5th row서울특별시 종로구 동숭길 3 (동숭동)
ValueCountFrequency (%)
서울특별시 727
 
17.5%
종로구 727
 
17.5%
1층 147
 
3.5%
종로 105
 
2.5%
숭인동 57
 
1.4%
창신동 46
 
1.1%
율곡로 40
 
1.0%
지하 36
 
0.9%
청계천로 29
 
0.7%
창경궁로 29
 
0.7%
Other values (767) 2206
53.2%
2024-05-18T11:21:30.622570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3422
 
16.8%
로 1453
 
7.1%
종 1012
 
5.0%
서 769
 
3.8%
1 761
 
3.7%
) 747
 
3.7%
( 747
 
3.7%
시 738
 
3.6%
구 737
 
3.6%
울 733
 
3.6%
Other values (263) 9258
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12216
59.9%
Space Separator 3422
 
16.8%
Decimal Number 2701
 
13.3%
Close Punctuation 747
 
3.7%
Open Punctuation 747
 
3.7%
Other Punctuation 417
 
2.0%
Dash Punctuation 73
 
0.4%
Uppercase Letter 50
 
0.2%
Lowercase Letter 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 1453
 
11.9%
종 1012
 
8.3%
서 769
 
6.3%
시 738
 
6.0%
구 737
 
6.0%
울 733
 
6.0%
별 729
 
6.0%
특 727
 
6.0%
동 706
 
5.8%
길 335
 
2.7%
Other values (230) 4277
35.0%
Uppercase Letter
ValueCountFrequency (%)
B 12
24.0%
S 8
16.0%
G 5
10.0%
C 5
10.0%
D 5
10.0%
K 4
 
8.0%
A 3
 
6.0%
L 2
 
4.0%
T 2
 
4.0%
E 2
 
4.0%
Other values (2) 2
 
4.0%
Decimal Number
ValueCountFrequency (%)
1 761
28.2%
2 389
14.4%
3 321
11.9%
4 224
 
8.3%
5 219
 
8.1%
6 182
 
6.7%
0 180
 
6.7%
9 156
 
5.8%
7 154
 
5.7%
8 115
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 411
98.6%
/ 4
 
1.0%
. 2
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
t 1
33.3%
a 1
33.3%
s 1
33.3%
Space Separator
ValueCountFrequency (%)
3422
100.0%
Close Punctuation
ValueCountFrequency (%)
) 747
100.0%
Open Punctuation
ValueCountFrequency (%)
( 747
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 73
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12216
59.9%
Common 8108
39.8%
Latin 53
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 1453
 
11.9%
종 1012
 
8.3%
서 769
 
6.3%
시 738
 
6.0%
구 737
 
6.0%
울 733
 
6.0%
별 729
 
6.0%
특 727
 
6.0%
동 706
 
5.8%
길 335
 
2.7%
Other values (230) 4277
35.0%
Common
ValueCountFrequency (%)
3422
42.2%
1 761
 
9.4%
) 747
 
9.2%
( 747
 
9.2%
, 411
 
5.1%
2 389
 
4.8%
3 321
 
4.0%
4 224
 
2.8%
5 219
 
2.7%
6 182
 
2.2%
Other values (8) 685
 
8.4%
Latin
ValueCountFrequency (%)
B 12
22.6%
S 8
15.1%
G 5
9.4%
C 5
9.4%
D 5
9.4%
K 4
 
7.5%
A 3
 
5.7%
L 2
 
3.8%
T 2
 
3.8%
E 2
 
3.8%
Other values (5) 5
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12216
59.9%
ASCII 8161
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3422
41.9%
1 761
 
9.3%
) 747
 
9.2%
( 747
 
9.2%
, 411
 
5.0%
2 389
 
4.8%
3 321
 
3.9%
4 224
 
2.7%
5 219
 
2.7%
6 182
 
2.2%
Other values (23) 738
 
9.0%
Hangul
ValueCountFrequency (%)
로 1453
 
11.9%
종 1012
 
8.3%
서 769
 
6.3%
시 738
 
6.0%
구 737
 
6.0%
울 733
 
6.0%
별 729
 
6.0%
특 727
 
6.0%
동 706
 
5.8%
길 335
 
2.7%
Other values (230) 4277
35.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct149
Distinct (%)21.2%
Missing2162
Missing (%)75.5%
Infinite0
Infinite (%)0.0%
Mean3121.9174
Minimum3000
Maximum3198
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size25.3 KiB
2024-05-18T11:21:31.001906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000
5-th percentile3035
Q13078
median3127.5
Q33164
95-th percentile3192
Maximum3198
Range198
Interquartile range (IQR)86

Descriptive statistics

Standard deviation51.078793
Coefficient of variation (CV)0.016361353
Kurtosis-0.88274509
Mean3121.9174
Median Absolute Deviation (MAD)42.5
Skewness-0.30619346
Sum2191586
Variance2609.0431
MonotonicityNot monotonic
2024-05-18T11:21:31.424953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3149 25
 
0.9%
3191 21
 
0.7%
3119 20
 
0.7%
3173 16
 
0.6%
3190 15
 
0.5%
3129 15
 
0.5%
3114 14
 
0.5%
3115 13
 
0.5%
3195 12
 
0.4%
3192 12
 
0.4%
Other values (139) 539
 
18.8%
(Missing) 2162
75.5%
ValueCountFrequency (%)
3000 1
< 0.1%
3003 1
< 0.1%
3004 2
0.1%
3007 2
0.1%
3009 2
0.1%
3010 1
< 0.1%
3013 1
< 0.1%
3014 1
< 0.1%
3015 1
< 0.1%
3016 1
< 0.1%
ValueCountFrequency (%)
3198 11
0.4%
3197 2
 
0.1%
3196 1
 
< 0.1%
3195 12
0.4%
3194 4
 
0.1%
3193 2
 
0.1%
3192 12
0.4%
3191 21
0.7%
3190 15
0.5%
3189 11
0.4%

사업장명
Text

Distinct1787
Distinct (%)62.4%
Missing0
Missing (%)0.0%
Memory size22.5 KiB
2024-05-18T11:21:32.034681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length5.4797486
Min length1

Characters and Unicode

Total characters15694
Distinct characters542
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1479 ?
Unique (%)51.6%

Sample

1st row김선제
2nd row김선제
3rd row김선제
4th row김선제
5th row김선제
ValueCountFrequency (%)
김선제 57
 
1.8%
심완조 41
 
1.3%
씨유 37
 
1.2%
오광열 36
 
1.1%
gs25 31
 
1.0%
두산음료(주 29
 
0.9%
자판기 27
 
0.8%
김명제 26
 
0.8%
김영철 23
 
0.7%
새마을금고 23
 
0.7%
Other values (1842) 2877
89.7%
2024-05-18T11:21:33.191331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
343
 
2.2%
대 329
 
2.1%
종 304
 
1.9%
) 300
 
1.9%
( 299
 
1.9%
층 270
 
1.7%
점 256
 
1.6%
김 244
 
1.6%
로 242
 
1.5%
이 232
 
1.5%
Other values (532) 12875
82.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13547
86.3%
Decimal Number 831
 
5.3%
Space Separator 343
 
2.2%
Close Punctuation 301
 
1.9%
Open Punctuation 299
 
1.9%
Uppercase Letter 298
 
1.9%
Lowercase Letter 45
 
0.3%
Other Punctuation 25
 
0.2%
Dash Punctuation 4
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 329
 
2.4%
종 304
 
2.2%
층 270
 
2.0%
점 256
 
1.9%
김 244
 
1.8%
로 242
 
1.8%
이 232
 
1.7%
주 227
 
1.7%
선 195
 
1.4%
동 194
 
1.4%
Other values (478) 11054
81.6%
Uppercase Letter
ValueCountFrequency (%)
S 61
20.5%
G 53
17.8%
C 37
12.4%
U 32
10.7%
B 18
 
6.0%
T 14
 
4.7%
M 14
 
4.7%
A 10
 
3.4%
I 9
 
3.0%
E 7
 
2.3%
Other values (12) 43
14.4%
Lowercase Letter
ValueCountFrequency (%)
e 9
20.0%
a 7
15.6%
f 6
13.3%
o 5
11.1%
l 4
8.9%
i 3
 
6.7%
b 2
 
4.4%
s 2
 
4.4%
u 2
 
4.4%
g 1
 
2.2%
Other values (4) 4
8.9%
Decimal Number
ValueCountFrequency (%)
1 211
25.4%
2 153
18.4%
5 117
14.1%
3 117
14.1%
4 74
 
8.9%
0 70
 
8.4%
6 36
 
4.3%
7 22
 
2.6%
9 17
 
2.0%
8 14
 
1.7%
Close Punctuation
ValueCountFrequency (%)
) 300
99.7%
] 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
. 24
96.0%
, 1
 
4.0%
Space Separator
ValueCountFrequency (%)
343
100.0%
Open Punctuation
ValueCountFrequency (%)
( 299
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13547
86.3%
Common 1804
 
11.5%
Latin 343
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 329
 
2.4%
종 304
 
2.2%
층 270
 
2.0%
점 256
 
1.9%
김 244
 
1.8%
로 242
 
1.8%
이 232
 
1.7%
주 227
 
1.7%
선 195
 
1.4%
동 194
 
1.4%
Other values (478) 11054
81.6%
Latin
ValueCountFrequency (%)
S 61
17.8%
G 53
15.5%
C 37
10.8%
U 32
 
9.3%
B 18
 
5.2%
T 14
 
4.1%
M 14
 
4.1%
A 10
 
2.9%
e 9
 
2.6%
I 9
 
2.6%
Other values (26) 86
25.1%
Common
ValueCountFrequency (%)
343
19.0%
) 300
16.6%
( 299
16.6%
1 211
11.7%
2 153
8.5%
5 117
 
6.5%
3 117
 
6.5%
4 74
 
4.1%
0 70
 
3.9%
6 36
 
2.0%
Other values (8) 84
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13547
86.3%
ASCII 2147
 
13.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
343
16.0%
) 300
14.0%
( 299
13.9%
1 211
9.8%
2 153
 
7.1%
5 117
 
5.4%
3 117
 
5.4%
4 74
 
3.4%
0 70
 
3.3%
S 61
 
2.8%
Other values (44) 402
18.7%
Hangul
ValueCountFrequency (%)
대 329
 
2.4%
종 304
 
2.2%
층 270
 
2.0%
점 256
 
1.9%
김 244
 
1.8%
로 242
 
1.8%
이 232
 
1.7%
주 227
 
1.7%
선 195
 
1.4%
동 194
 
1.4%
Other values (478) 11054
81.6%

최종수정일자
Date

Distinct1010
Distinct (%)35.3%
Missing0
Missing (%)0.0%
Memory size22.5 KiB
Minimum1999-02-11 00:00:00
Maximum2024-05-03 14:59:19
2024-05-18T11:21:33.626118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:21:34.077627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.5 KiB
I
2660 
U
 
204

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 2660
92.9%
U 204
 
7.1%

Length

2024-05-18T11:21:34.505572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:21:34.837283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2660
92.9%
u 204
 
7.1%

데이터갱신일자
Date

Distinct196
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size22.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-18T11:21:35.159056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:21:35.671283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size22.5 KiB
식품자동판매기영업
2864 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품자동판매기영업 2864
100.0%

Length

2024-05-18T11:21:36.103822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:21:36.403235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품자동판매기영업 2864
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct976
Distinct (%)43.1%
Missing602
Missing (%)21.0%
Infinite0
Infinite (%)0.0%
Mean198958.78
Minimum196010.6
Maximum201960.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size25.3 KiB
2024-05-18T11:21:36.725477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196010.6
5-th percentile197002.67
Q1197982.89
median198777.05
Q3200003.9
95-th percentile201359.08
Maximum201960.95
Range5950.3493
Interquartile range (IQR)2021.0127

Descriptive statistics

Standard deviation1339.7331
Coefficient of variation (CV)0.0067337217
Kurtosis-0.65034121
Mean198958.78
Median Absolute Deviation (MAD)1041.6373
Skewness0.28282271
Sum4.5004476 × 108
Variance1794884.6
MonotonicityNot monotonic
2024-05-18T11:21:37.180911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198817.289034611 44
 
1.5%
197982.889600104 41
 
1.4%
198795.525085201 34
 
1.2%
198550.794581565 32
 
1.1%
199554.074424085 32
 
1.1%
198176.159239663 30
 
1.0%
197863.94944965 28
 
1.0%
197462.416640375 26
 
0.9%
200787.432980683 26
 
0.9%
200003.902251234 25
 
0.9%
Other values (966) 1944
67.9%
(Missing) 602
 
21.0%
ValueCountFrequency (%)
196010.602015955 2
 
0.1%
196079.733490221 2
 
0.1%
196099.306839597 2
 
0.1%
196139.384872602 1
 
< 0.1%
196156.927737704 1
 
< 0.1%
196168.301152027 1
 
< 0.1%
196173.853620552 5
0.2%
196188.676804345 2
 
0.1%
196215.06554265 1
 
< 0.1%
196230.717211362 2
 
0.1%
ValueCountFrequency (%)
201960.951300031 2
0.1%
201960.304346071 1
< 0.1%
201957.720140045 1
< 0.1%
201949.750623535 1
< 0.1%
201949.270716491 1
< 0.1%
201948.560407436 1
< 0.1%
201946.86632604 1
< 0.1%
201937.486746825 1
< 0.1%
201927.092973939 1
< 0.1%
201910.038308535 2
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct976
Distinct (%)43.1%
Missing602
Missing (%)21.0%
Infinite0
Infinite (%)0.0%
Mean452561.31
Minimum451543.63
Maximum457060.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size25.3 KiB
2024-05-18T11:21:37.589703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451543.63
5-th percentile451834.57
Q1452095.38
median452331.25
Q3452726.42
95-th percentile453774.04
Maximum457060.22
Range5516.5954
Interquartile range (IQR)631.04412

Descriptive statistics

Standard deviation792.01711
Coefficient of variation (CV)0.0017500769
Kurtosis8.8636557
Mean452561.31
Median Absolute Deviation (MAD)274.41385
Skewness2.591917
Sum1.0236937 × 109
Variance627291.1
MonotonicityNot monotonic
2024-05-18T11:21:38.007240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452901.786745273 44
 
1.5%
452206.123138933 41
 
1.4%
451811.272474605 34
 
1.2%
452315.522758616 32
 
1.1%
453721.462706742 32
 
1.1%
452574.67151361 30
 
1.0%
453774.043360595 28
 
1.0%
452525.858417088 26
 
0.9%
452095.37509542 26
 
0.9%
452556.060739615 25
 
0.9%
Other values (966) 1944
67.9%
(Missing) 602
 
21.0%
ValueCountFrequency (%)
451543.629004831 2
 
0.1%
451580.195594285 1
 
< 0.1%
451580.22699738 3
 
0.1%
451658.76871749 8
 
0.3%
451664.399383222 1
 
< 0.1%
451670.158825331 10
0.3%
451678.787536538 20
0.7%
451682.368379486 1
 
< 0.1%
451690.586861352 2
 
0.1%
451733.540405524 3
 
0.1%
ValueCountFrequency (%)
457060.224383785 1
 
< 0.1%
457042.866657032 1
 
< 0.1%
456763.878954987 4
0.1%
456608.809952924 1
 
< 0.1%
456582.534430668 1
 
< 0.1%
456572.864526657 1
 
< 0.1%
456478.436790904 7
0.2%
456429.344666667 1
 
< 0.1%
456414.474751923 1
 
< 0.1%
456400.243878906 1
 
< 0.1%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.5 KiB
식품자동판매기영업
2784 
<NA>
 
80

Length

Max length9
Median length9
Mean length8.8603352
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품자동판매기영업 2784
97.2%
<NA> 80
 
2.8%

Length

2024-05-18T11:21:38.441219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:21:38.753352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품자동판매기영업 2784
97.2%
na 80
 
2.8%

남성종사자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.5 KiB
0
1793 
<NA>
1069 
1
 
1
41
 
1

Length

Max length4
Median length1
Mean length2.1201117
Min length1

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 1793
62.6%
<NA> 1069
37.3%
1 1
 
< 0.1%
41 1
 
< 0.1%

Length

2024-05-18T11:21:39.123827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:21:39.468216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1793
62.6%
na 1069
37.3%
1 1
 
< 0.1%
41 1
 
< 0.1%

여성종사자수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.5 KiB
0
1795 
<NA>
1069 

Length

Max length4
Median length1
Mean length2.1197626
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1795
62.7%
<NA> 1069
37.3%

Length

2024-05-18T11:21:39.888298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:21:40.219281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1795
62.7%
na 1069
37.3%

영업장주변구분명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.5 KiB
기타
1871 
<NA>
992 
학교정화(상대)
 
1

Length

Max length8
Median length2
Mean length2.6948324
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
기타 1871
65.3%
<NA> 992
34.6%
학교정화(상대) 1
 
< 0.1%

Length

2024-05-18T11:21:40.670744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:21:40.984208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 1871
65.3%
na 992
34.6%
학교정화(상대 1
 
< 0.1%

등급구분명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.5 KiB
기타
1844 
<NA>
992 
지도
 
26
갑
 
2

Length

Max length4
Median length2
Mean length2.6920391
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타 1844
64.4%
<NA> 992
34.6%
지도 26
 
0.9%
갑 2
 
0.1%

Length

2024-05-18T11:21:41.361884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:21:41.697061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 1844
64.4%
na 992
34.6%
지도 26
 
0.9%
갑 2
 
0.1%

급수시설구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.5 KiB
<NA>
2810 
상수도전용
 
54

Length

Max length5
Median length4
Mean length4.0188547
Min length4

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> 2810
98.1%
상수도전용 54
 
1.9%

Length

2024-05-18T11:21:42.081967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:21:42.405981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2810
98.1%
상수도전용 54
 
1.9%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.5 KiB
<NA>
2828 
0
 
36

Length

Max length4
Median length4
Mean length3.9622905
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> 2828
98.7%
0 36
 
1.3%

Length

2024-05-18T11:21:42.764019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:21:43.237522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2828
98.7%
0 36
 
1.3%

본사종업원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.5 KiB
<NA>
2309 
0
555 

Length

Max length4
Median length4
Mean length3.4186453
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> 2309
80.6%
0 555
 
19.4%

Length

2024-05-18T11:21:43.574157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:21:43.895788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2309
80.6%
0 555
 
19.4%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.5 KiB
<NA>
2309 
0
555 

Length

Max length4
Median length4
Mean length3.4186453
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> 2309
80.6%
0 555
 
19.4%

Length

2024-05-18T11:21:44.261945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:21:44.581954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2309
80.6%
0 555
 
19.4%

공장판매직종업원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.5 KiB
<NA>
2309 
0
555 

Length

Max length4
Median length4
Mean length3.4186453
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> 2309
80.6%
0 555
 
19.4%

Length

2024-05-18T11:21:44.942379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:21:45.266696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2309
80.6%
0 555
 
19.4%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.5 KiB
<NA>
2309 
0
555 

Length

Max length4
Median length4
Mean length3.4186453
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> 2309
80.6%
0 555
 
19.4%

Length

2024-05-18T11:21:45.654326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:21:45.954356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2309
80.6%
0 555
 
19.4%

건물소유구분명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.5 KiB
<NA>
2189 
자가
595 
임대
 
80

Length

Max length4
Median length4
Mean length3.5286313
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2189
76.4%
자가 595
 
20.8%
임대 80
 
2.8%

Length

2024-05-18T11:21:46.713633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:21:47.062954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2189
76.4%
자가 595
 
20.8%
임대 80
 
2.8%

보증액
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size22.5 KiB
<NA>
2374 
0
487 
17163000
 
1
16876200
 
1
1764840
 
1

Length

Max length8
Median length4
Mean length3.4937151
Min length1

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2374
82.9%
0 487
 
17.0%
17163000 1
 
< 0.1%
16876200 1
 
< 0.1%
1764840 1
 
< 0.1%

Length

2024-05-18T11:21:47.443000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:21:47.771532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2374
82.9%
0 487
 
17.0%
17163000 1
 
< 0.1%
16876200 1
 
< 0.1%
1764840 1
 
< 0.1%

월세액
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.5 KiB
<NA>
2374 
0
488 
1716330
 
1
1687620
 
1

Length

Max length7
Median length4
Mean length3.4909218
Min length1

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2374
82.9%
0 488
 
17.0%
1716330 1
 
< 0.1%
1687620 1
 
< 0.1%

Length

2024-05-18T11:21:48.135876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:21:48.458338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2374
82.9%
0 488
 
17.0%
1716330 1
 
< 0.1%
1687620 1
 
< 0.1%

다중이용업소여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing80
Missing (%)2.8%
Memory size5.7 KiB
False
2783 
True
 
1
(Missing)
 
80
ValueCountFrequency (%)
False 2783
97.2%
True 1
 
< 0.1%
(Missing) 80
 
2.8%
2024-05-18T11:21:48.723973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct16
Distinct (%)0.6%
Missing80
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean0.10727371
Minimum0
Maximum33
Zeros2709
Zeros (%)94.6%
Negative0
Negative (%)0.0%
Memory size25.3 KiB
2024-05-18T11:21:49.016990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum33
Range33
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.92140771
Coefficient of variation (CV)8.5893155
Kurtosis628.05284
Mean0.10727371
Median Absolute Deviation (MAD)0
Skewness20.55075
Sum298.65
Variance0.84899217
MonotonicityNot monotonic
2024-05-18T11:21:49.377489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0 2709
94.6%
3.3 30
 
1.0%
3.6 17
 
0.6%
3.0 5
 
0.2%
2.0 5
 
0.2%
1.0 5
 
0.2%
6.6 3
 
0.1%
1.5 2
 
0.1%
1.3 1
 
< 0.1%
33.0 1
 
< 0.1%
Other values (6) 6
 
0.2%
(Missing) 80
 
2.8%
ValueCountFrequency (%)
0.0 2709
94.6%
1.0 5
 
0.2%
1.3 1
 
< 0.1%
1.5 2
 
0.1%
2.0 5
 
0.2%
2.4 1
 
< 0.1%
3.0 5
 
0.2%
3.3 30
 
1.0%
3.6 17
 
0.6%
4.0 1
 
< 0.1%
ValueCountFrequency (%)
33.0 1
 
< 0.1%
14.85 1
 
< 0.1%
12.0 1
 
< 0.1%
10.0 1
 
< 0.1%
8.1 1
 
< 0.1%
6.6 3
 
0.1%
4.0 1
 
< 0.1%
3.6 17
0.6%
3.3 30
1.0%
3.0 5
 
0.2%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2864
Missing (%)100.0%
Memory size25.3 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2864
Missing (%)100.0%
Memory size25.3 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2864
Missing (%)100.0%
Memory size25.3 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030000003000000-112-1981-0004919811023<NA>3폐업2폐업19951226<NA><NA><NA>0200000000<NA>110822서울특별시 종로구 세종로 178-0<NA><NA>김선제2001-09-29 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업197815.116027452076.153842식품자동판매기영업00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
130000003000000-112-1981-0005019811023<NA>3폐업2폐업19951226<NA><NA><NA>0200000000<NA>110822서울특별시 종로구 세종로 178-0 현대자동차<NA><NA>김선제2002-01-16 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업197815.116027452076.153842식품자동판매기영업00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
230000003000000-112-1981-0005119811023<NA>3폐업2폐업19951226<NA><NA><NA>0200000000<NA>110102서울특별시 종로구 평동 166-0 4.19도서관<NA><NA>김선제2002-01-16 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업197076.316936451690.586861식품자동판매기영업00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
330000003000000-112-1981-0005219811023<NA>3폐업2폐업19951226<NA><NA><NA>0200000000<NA>110102서울특별시 종로구 평동 166-0 4.19도서관<NA><NA>김선제2001-09-29 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업197076.316936451690.586861식품자동판매기영업00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
430000003000000-112-1981-0005319811023<NA>3폐업2폐업19951226<NA><NA><NA>0200000000<NA>110822서울특별시 종로구 세종로 178-0 현대인력개<NA><NA>김선제2001-09-29 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업197815.116027452076.153842식품자동판매기영업00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
530000003000000-112-1981-0005419811023<NA>3폐업2폐업19951226<NA><NA><NA>0200000000<NA>110822서울특별시 종로구 세종로 178-0 현대인력개<NA><NA>김선제2001-09-29 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업197815.116027452076.153842식품자동판매기영업00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
630000003000000-112-1981-0005519811023<NA>3폐업2폐업19951226<NA><NA><NA>0200000000<NA>110822서울특별시 종로구 세종로 178-0<NA><NA>김선제2001-09-29 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업197815.116027452076.153842식품자동판매기영업00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
730000003000000-112-1981-0005619811028<NA>3폐업2폐업19930302<NA><NA><NA>02<NA>110822서울특별시 종로구 세종로 147<NA><NA>조광익2002-01-16 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업<NA><NA>식품자동판매기영업00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
830000003000000-112-1981-0005819811023<NA>3폐업2폐업19971112<NA><NA><NA>02 2662925<NA>110822서울특별시 종로구 세종로 178<NA><NA>김선제2002-01-16 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업197815.116027452076.153842식품자동판매기영업00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
930000003000000-112-1981-0005919811023<NA>3폐업2폐업19971112<NA><NA><NA>02 00000<NA>110822서울특별시 종로구 세종로 178-0<NA><NA>김선제2001-09-29 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업197815.116027452076.153842식품자동판매기영업00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
285430000003000000-112-2023-000152023-11-16<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.0110-111서울특별시 종로구 관철동 18-1 종로우리빌딩서울특별시 종로구 종로12길 10, 종로우리빌딩 1층 좌측 일부호 (관철동)3189스타벅스 캡슐2023-11-16 17:57:55I2022-10-31 23:08:00.0식품자동판매기영업198661.205715451931.761151<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
285530000003000000-112-2023-000162023-11-21<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.0110-522서울특별시 종로구 명륜2가 41-4 동원빌딩서울특별시 종로구 창경궁로 254, 동원빌딩 한성아트홀 지하1층 좌측호 (명륜2가)3077옐라보나2023-11-21 16:55:53I2022-10-31 22:03:00.0식품자동판매기영업199932.222723453488.47221<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
285630000003000000-112-2023-000172023-11-22<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.0110-300서울특별시 종로구 관훈동 2-2서울특별시 종로구 인사동길 30-10, 1층 전면부일부호 (관훈동)3148인사동 놀이터2023-11-22 11:48:40I2022-10-31 22:04:00.0식품자동판매기영업198722.372834452368.49379<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
285730000003000000-112-2023-000182023-12-28<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.0110-032서울특별시 종로구 신교동 36 수만빌리지서울특별시 종로구 필운대로 112-4, 수만빌리지 1층 101호 (신교동)3035씨유 종로신교점2023-12-28 10:32:16I2022-11-01 21:00:00.0식품자동판매기영업197248.988864453488.397543<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
285830000003000000-112-2024-000012024-01-03<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.0110-771서울특별시 종로구 창신동 702 창신쌍용아파트 1지구서울특별시 종로구 지봉로17길 36, 창신쌍용아파트 1지구 2층 227호 (창신동)3093밀라커피 (Mila Coffee)2024-01-03 15:02:16I2023-12-01 00:05:00.0식품자동판매기영업201168.350187453134.920223<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
285930000003000000-112-2024-000022024-02-06<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.0110-800서울특별시 종로구 계동 77-1서울특별시 종로구 계동길 77, 1층 (계동)3056북촌무인2024-02-06 11:09:20I2023-12-02 00:08:00.0식품자동판매기영업198749.626805453163.204753<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
286030000003000000-112-2024-000032024-02-22<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3110-812서울특별시 종로구 명륜3가 53-21서울특별시 종로구 성균관로 25-2, 지상 2층 (명륜3가)3063씨유(CU) 성균관대 인문관점2024-02-22 15:01:43I2023-12-01 22:04:00.0식품자동판매기영업199242.837081454009.504752<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
286130000003000000-112-2024-000042024-03-27<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.0110-842서울특별시 종로구 창신동 436-78 동대문신발상가서울특별시 종로구 청계천로 307, 동대문신발상가 제나동 제1층 제105호 (창신동)3119셀프 카페 도아(Self Cafe Doa)2024-03-27 16:54:10I2023-12-02 21:00:00.0식품자동판매기영업200986.479807451975.983251<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
286230000003000000-112-2024-000052024-04-03<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.0110-230서울특별시 종로구 삼청동 산 2-2 삼청공원서울특별시 종로구 북촌로 134-3, 삼청공원 숲속도서관내 1층 (삼청동)3050지금코퍼레이션2024-04-03 17:33:25I2023-12-04 00:05:00.0식품자동판매기영업198528.34617454014.283386<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
286330000003000000-112-2024-000062024-04-18<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.0110-410서울특별시 종로구 인의동 8-2서울특별시 종로구 창경궁로 128-3, 1층 우측호 (인의동)3128카페 해솔 (종로점)2024-04-18 16:13:52I2023-12-03 22:00:00.0식품자동판매기영업199728.880818452400.955758<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>