Overview

Dataset statistics

Number of variables44
Number of observations10000
Missing cells126109
Missing cells (%)28.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.7 MiB
Average record size in memory385.0 B

Variable types

Numeric7
Text6
DateTime4
Unsupported8
Categorical18
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
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16094/S/1/datasetView.do

Alerts

위생업태명 is highly imbalanced (95.5%)Imbalance
남성종사자수 is highly imbalanced (96.3%)Imbalance
영업장주변구분명 is highly imbalanced (96.9%)Imbalance
등급구분명 is highly imbalanced (97.0%)Imbalance
급수시설구분명 is highly imbalanced (92.5%)Imbalance
총인원 is highly imbalanced (99.2%)Imbalance
본사종업원수 is highly imbalanced (99.2%)Imbalance
공장사무직종업원수 is highly imbalanced (99.2%)Imbalance
공장판매직종업원수 is highly imbalanced (99.2%)Imbalance
공장생산직종업원수 is highly imbalanced (99.2%)Imbalance
보증액 is highly imbalanced (99.2%)Imbalance
월세액 is highly imbalanced (99.2%)Imbalance
다중이용업소여부 is highly imbalanced (68.3%)Imbalance
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 7560 (75.6%) missing valuesMissing
휴업시작일자 has 10000 (100.0%) missing valuesMissing
휴업종료일자 has 10000 (100.0%) missing valuesMissing
재개업일자 has 10000 (100.0%) missing valuesMissing
전화번호 has 7952 (79.5%) missing valuesMissing
소재지면적 has 339 (3.4%) missing valuesMissing
도로명주소 has 155 (1.6%) missing valuesMissing
도로명우편번호 has 185 (1.8%) missing valuesMissing
좌표정보(X) has 158 (1.6%) missing valuesMissing
좌표정보(Y) has 158 (1.6%) missing valuesMissing
여성종사자수 has 9910 (99.1%) missing valuesMissing
건물소유구분명 has 10000 (100.0%) missing valuesMissing
다중이용업소여부 has 9843 (98.4%) missing valuesMissing
시설총규모 has 9843 (98.4%) missing valuesMissing
전통업소지정번호 has 10000 (100.0%) missing valuesMissing
전통업소주된음식 has 10000 (100.0%) missing valuesMissing
홈페이지 has 10000 (100.0%) missing valuesMissing
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
건물소유구분명 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

Reproduction

Analysis started2024-05-11 00:27:18.098139
Analysis finished2024-05-11 00:27:25.109473
Duration7.01 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3130421
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T00:27:25.384936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3010000
Q13060000
median3140000
Q33200000
95-th percentile3230000
Maximum3240000
Range240000
Interquartile range (IQR)140000

Descriptive statistics

Standard deviation76820.719
Coefficient of variation (CV)0.02454006
Kurtosis-1.2803289
Mean3130421
Median Absolute Deviation (MAD)70000
Skewness-0.24914398
Sum3.130421 × 1010
Variance5.9014229 × 109
MonotonicityNot monotonic
2024-05-11T00:27:25.948055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3220000 1061
 
10.6%
3130000 742
 
7.4%
3230000 656
 
6.6%
3010000 609
 
6.1%
3180000 588
 
5.9%
3150000 530
 
5.3%
3200000 433
 
4.3%
3210000 413
 
4.1%
3000000 409
 
4.1%
3020000 395
 
4.0%
Other values (15) 4164
41.6%
ValueCountFrequency (%)
3000000 409
4.1%
3010000 609
6.1%
3020000 395
4.0%
3030000 330
3.3%
3040000 327
3.3%
3050000 312
3.1%
3060000 266
2.7%
3070000 311
3.1%
3080000 246
2.5%
3090000 159
 
1.6%
ValueCountFrequency (%)
3240000 314
 
3.1%
3230000 656
6.6%
3220000 1061
10.6%
3210000 413
 
4.1%
3200000 433
4.3%
3190000 237
 
2.4%
3180000 588
5.9%
3170000 232
 
2.3%
3160000 298
 
3.0%
3150000 530
5.3%

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T00:27:26.690159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters220000
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

Unique10000 ?
Unique (%)100.0%

Sample

1st row3080000-101-2023-00182
2nd row3070000-101-2023-00281
3rd row3010000-101-2023-00078
4th row3210000-101-2024-00182
5th row3010000-101-2024-00159
ValueCountFrequency (%)
3080000-101-2023-00182 1
 
< 0.1%
3040000-101-2023-00242 1
 
< 0.1%
3210000-101-2021-00071 1
 
< 0.1%
3200000-101-2023-00378 1
 
< 0.1%
3130000-101-2014-00423 1
 
< 0.1%
3180000-101-2021-00757 1
 
< 0.1%
3080000-101-2023-00222 1
 
< 0.1%
3130000-101-2023-00480 1
 
< 0.1%
3220000-101-2023-01004 1
 
< 0.1%
3220000-101-2023-01402 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-05-11T00:27:28.070012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 87885
39.9%
1 32204
 
14.6%
- 30000
 
13.6%
2 26195
 
11.9%
3 20562
 
9.3%
4 5534
 
2.5%
9 3806
 
1.7%
5 3719
 
1.7%
8 3598
 
1.6%
6 3276
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 190000
86.4%
Dash Punctuation 30000
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 87885
46.3%
1 32204
 
16.9%
2 26195
 
13.8%
3 20562
 
10.8%
4 5534
 
2.9%
9 3806
 
2.0%
5 3719
 
2.0%
8 3598
 
1.9%
6 3276
 
1.7%
7 3221
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 30000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 220000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 87885
39.9%
1 32204
 
14.6%
- 30000
 
13.6%
2 26195
 
11.9%
3 20562
 
9.3%
4 5534
 
2.5%
9 3806
 
1.7%
5 3719
 
1.7%
8 3598
 
1.6%
6 3276
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 220000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 87885
39.9%
1 32204
 
14.6%
- 30000
 
13.6%
2 26195
 
11.9%
3 20562
 
9.3%
4 5534
 
2.5%
9 3806
 
1.7%
5 3719
 
1.7%
8 3598
 
1.6%
6 3276
 
1.5%
Distinct2930
Distinct (%)29.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1967-10-27 00:00:00
Maximum2024-05-02 00:00:00
2024-05-11T00:27:28.854732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:27:29.464200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
7560 
3
2440 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row3
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 7560
75.6%
3 2440
 
24.4%

Length

2024-05-11T00:27:29.930316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:27:30.345897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 7560
75.6%
3 2440
 
24.4%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
영업/정상
7560 
폐업
2440 

Length

Max length5
Median length5
Mean length4.268
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 7560
75.6%
폐업 2440
 
24.4%

Length

2024-05-11T00:27:30.799253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:27:31.173938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 7560
75.6%
폐업 2440
 
24.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
7560 
2
2440 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 7560
75.6%
2 2440
 
24.4%

Length

2024-05-11T00:27:31.487993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:27:31.863533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 7560
75.6%
2 2440
 
24.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
영업
7560 
폐업
2440 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 7560
75.6%
폐업 2440
 
24.4%

Length

2024-05-11T00:27:32.242801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:27:32.646275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 7560
75.6%
폐업 2440
 
24.4%

폐업일자
Date

MISSING 

Distinct437
Distinct (%)17.9%
Missing7560
Missing (%)75.6%
Memory size156.2 KiB
Minimum1990-06-08 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T00:27:33.034917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:27:33.594187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

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

전화번호
Text

MISSING 

Distinct2007
Distinct (%)98.0%
Missing7952
Missing (%)79.5%
Memory size156.2 KiB
2024-05-11T00:27:34.331879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.655762
Min length6

Characters and Unicode

Total characters21823
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

Unique1982 ?
Unique (%)96.8%

Sample

1st row02 593 1508
2nd row0222177394
3rd row0226508776
4th row02 8643082
5th row02 5551353
ValueCountFrequency (%)
02 1185
31.4%
070 50
 
1.3%
031 19
 
0.5%
0200000000 10
 
0.3%
543 7
 
0.2%
433 7
 
0.2%
521 7
 
0.2%
434 6
 
0.2%
516 6
 
0.2%
555 5
 
0.1%
Other values (2260) 2473
65.5%
2024-05-11T00:27:35.706384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 3777
17.3%
0 3706
17.0%
2349
10.8%
3 1698
7.8%
7 1669
7.6%
6 1556
7.1%
8 1550
7.1%
5 1527
7.0%
9 1465
 
6.7%
4 1312
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19474
89.2%
Space Separator 2349
 
10.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 3777
19.4%
0 3706
19.0%
3 1698
8.7%
7 1669
8.6%
6 1556
8.0%
8 1550
8.0%
5 1527
7.8%
9 1465
 
7.5%
4 1312
 
6.7%
1 1214
 
6.2%
Space Separator
ValueCountFrequency (%)
2349
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21823
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 3777
17.3%
0 3706
17.0%
2349
10.8%
3 1698
7.8%
7 1669
7.6%
6 1556
7.1%
8 1550
7.1%
5 1527
7.0%
9 1465
 
6.7%
4 1312
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21823
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 3777
17.3%
0 3706
17.0%
2349
10.8%
3 1698
7.8%
7 1669
7.6%
6 1556
7.1%
8 1550
7.1%
5 1527
7.0%
9 1465
 
6.7%
4 1312
 
6.0%

소재지면적
Real number (ℝ)

MISSING 

Distinct4901
Distinct (%)50.7%
Missing339
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean75.17212
Minimum0
Maximum3310.87
Zeros59
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T00:27:36.652142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12
Q128.93
median49
Q386.59
95-th percentile211.75
Maximum3310.87
Range3310.87
Interquartile range (IQR)57.66

Descriptive statistics

Standard deviation107.95848
Coefficient of variation (CV)1.4361505
Kurtosis161.43326
Mean75.17212
Median Absolute Deviation (MAD)24.19
Skewness9.3847823
Sum726237.85
Variance11655.033
MonotonicityNot monotonic
2024-05-11T00:27:37.223124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.0 192
 
1.9%
30.0 156
 
1.6%
25.0 89
 
0.9%
20.0 85
 
0.9%
40.0 80
 
0.8%
6.6 65
 
0.7%
50.0 64
 
0.6%
0.0 59
 
0.6%
60.0 59
 
0.6%
66.0 57
 
0.6%
Other values (4891) 8755
87.5%
(Missing) 339
 
3.4%
ValueCountFrequency (%)
0.0 59
0.6%
2.06 6
 
0.1%
2.45 1
 
< 0.1%
3.0 3
 
< 0.1%
3.2 1
 
< 0.1%
3.3 25
0.2%
3.5 2
 
< 0.1%
3.74 2
 
< 0.1%
3.8 9
 
0.1%
3.9 1
 
< 0.1%
ValueCountFrequency (%)
3310.87 1
< 0.1%
2158.8 1
< 0.1%
1872.8 1
< 0.1%
1742.0 2
< 0.1%
1740.0 1
< 0.1%
1708.0 1
< 0.1%
1550.0 1
< 0.1%
1543.81 1
< 0.1%
1496.45 1
< 0.1%
1487.62 1
< 0.1%
Distinct2138
Distinct (%)21.4%
Missing3
Missing (%)< 0.1%
Memory size156.2 KiB
2024-05-11T00:27:38.168746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.9839952
Min length6

Characters and Unicode

Total characters69819
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

Unique618 ?
Unique (%)6.2%

Sample

1st row142-875
2nd row136-841
3rd row100-021
4th row137-881
5th row100-420
ValueCountFrequency (%)
157-210 183
 
1.8%
138-888 72
 
0.7%
138-934 46
 
0.5%
135-731 43
 
0.4%
150-875 41
 
0.4%
135-897 39
 
0.4%
120-834 38
 
0.4%
153-803 38
 
0.4%
153-801 37
 
0.4%
121-836 35
 
0.4%
Other values (2128) 9425
94.3%
2024-05-11T00:27:39.684003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 14564
20.9%
- 9837
14.1%
8 9315
13.3%
3 7208
10.3%
0 7146
10.2%
5 5568
 
8.0%
2 4835
 
6.9%
4 3322
 
4.8%
7 2976
 
4.3%
9 2752
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 59982
85.9%
Dash Punctuation 9837
 
14.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 14564
24.3%
8 9315
15.5%
3 7208
12.0%
0 7146
11.9%
5 5568
 
9.3%
2 4835
 
8.1%
4 3322
 
5.5%
7 2976
 
5.0%
9 2752
 
4.6%
6 2296
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 9837
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 69819
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 14564
20.9%
- 9837
14.1%
8 9315
13.3%
3 7208
10.3%
0 7146
10.2%
5 5568
 
8.0%
2 4835
 
6.9%
4 3322
 
4.8%
7 2976
 
4.3%
9 2752
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 69819
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 14564
20.9%
- 9837
14.1%
8 9315
13.3%
3 7208
10.3%
0 7146
10.2%
5 5568
 
8.0%
2 4835
 
6.9%
4 3322
 
4.8%
7 2976
 
4.3%
9 2752
 
3.9%
Distinct8439
Distinct (%)84.4%
Missing3
Missing (%)< 0.1%
Memory size156.2 KiB
2024-05-11T00:27:40.469038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length52
Mean length23.585776
Min length14

Characters and Unicode

Total characters235787
Distinct characters615
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7703 ?
Unique (%)77.1%

Sample

1st row서울특별시 강북구 수유동 482-34 1층
2nd row서울특별시 성북구 정릉동 16-173
3rd row서울특별시 중구 명동1가 7-1
4th row서울특별시 서초구 서초동 1666-9 1층
5th row서울특별시 중구 무학동 58
ValueCountFrequency (%)
서울특별시 9997
 
21.0%
강남구 1061
 
2.2%
1층 889
 
1.9%
마포구 742
 
1.6%
송파구 656
 
1.4%
중구 609
 
1.3%
영등포구 588
 
1.2%
강서구 530
 
1.1%
관악구 433
 
0.9%
서초구 413
 
0.9%
Other values (10210) 31713
66.6%
2024-05-11T00:27:42.125351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37806
 
16.0%
11795
 
5.0%
11386
 
4.8%
1 10963
 
4.6%
10622
 
4.5%
10301
 
4.4%
10089
 
4.3%
10001
 
4.2%
9997
 
4.2%
- 8285
 
3.5%
Other values (605) 104542
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 140091
59.4%
Decimal Number 47433
 
20.1%
Space Separator 37806
 
16.0%
Dash Punctuation 8285
 
3.5%
Uppercase Letter 953
 
0.4%
Close Punctuation 345
 
0.1%
Open Punctuation 344
 
0.1%
Other Punctuation 303
 
0.1%
Lowercase Letter 146
 
0.1%
Math Symbol 49
 
< 0.1%
Other values (2) 32
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
11795
 
8.4%
11386
 
8.1%
10622
 
7.6%
10301
 
7.4%
10089
 
7.2%
10001
 
7.1%
9997
 
7.1%
2386
 
1.7%
1811
 
1.3%
1684
 
1.2%
Other values (537) 60019
42.8%
Uppercase Letter
ValueCountFrequency (%)
B 98
 
10.3%
C 95
 
10.0%
E 87
 
9.1%
S 78
 
8.2%
T 65
 
6.8%
A 63
 
6.6%
M 52
 
5.5%
I 43
 
4.5%
N 38
 
4.0%
R 37
 
3.9%
Other values (15) 297
31.2%
Lowercase Letter
ValueCountFrequency (%)
e 31
21.2%
n 13
8.9%
r 13
8.9%
i 13
8.9%
a 11
 
7.5%
t 10
 
6.8%
o 10
 
6.8%
s 8
 
5.5%
w 7
 
4.8%
y 7
 
4.8%
Other values (7) 23
15.8%
Decimal Number
ValueCountFrequency (%)
1 10963
23.1%
2 6388
13.5%
3 5132
10.8%
4 4388
9.3%
5 3987
 
8.4%
6 3731
 
7.9%
0 3440
 
7.3%
7 3411
 
7.2%
9 3054
 
6.4%
8 2939
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 277
91.4%
. 17
 
5.6%
? 5
 
1.7%
@ 2
 
0.7%
/ 1
 
0.3%
& 1
 
0.3%
Letter Number
ValueCountFrequency (%)
17
54.8%
11
35.5%
3
 
9.7%
Math Symbol
ValueCountFrequency (%)
~ 48
98.0%
+ 1
 
2.0%
Space Separator
ValueCountFrequency (%)
37806
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8285
100.0%
Close Punctuation
ValueCountFrequency (%)
) 345
100.0%
Open Punctuation
ValueCountFrequency (%)
( 344
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 140087
59.4%
Common 94566
40.1%
Latin 1130
 
0.5%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
11795
 
8.4%
11386
 
8.1%
10622
 
7.6%
10301
 
7.4%
10089
 
7.2%
10001
 
7.1%
9997
 
7.1%
2386
 
1.7%
1811
 
1.3%
1684
 
1.2%
Other values (533) 60015
42.8%
Latin
ValueCountFrequency (%)
B 98
 
8.7%
C 95
 
8.4%
E 87
 
7.7%
S 78
 
6.9%
T 65
 
5.8%
A 63
 
5.6%
M 52
 
4.6%
I 43
 
3.8%
N 38
 
3.4%
R 37
 
3.3%
Other values (35) 474
41.9%
Common
ValueCountFrequency (%)
37806
40.0%
1 10963
 
11.6%
- 8285
 
8.8%
2 6388
 
6.8%
3 5132
 
5.4%
4 4388
 
4.6%
5 3987
 
4.2%
6 3731
 
3.9%
0 3440
 
3.6%
7 3411
 
3.6%
Other values (13) 7035
 
7.4%
Han
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 140087
59.4%
ASCII 95665
40.6%
Number Forms 31
 
< 0.1%
CJK 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37806
39.5%
1 10963
 
11.5%
- 8285
 
8.7%
2 6388
 
6.7%
3 5132
 
5.4%
4 4388
 
4.6%
5 3987
 
4.2%
6 3731
 
3.9%
0 3440
 
3.6%
7 3411
 
3.6%
Other values (55) 8134
 
8.5%
Hangul
ValueCountFrequency (%)
11795
 
8.4%
11386
 
8.1%
10622
 
7.6%
10301
 
7.4%
10089
 
7.2%
10001
 
7.1%
9997
 
7.1%
2386
 
1.7%
1811
 
1.3%
1684
 
1.2%
Other values (533) 60015
42.8%
Number Forms
ValueCountFrequency (%)
17
54.8%
11
35.5%
3
 
9.7%
CJK
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

도로명주소
Text

MISSING 

Distinct9359
Distinct (%)95.1%
Missing155
Missing (%)1.6%
Memory size156.2 KiB
2024-05-11T00:27:43.242959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length66
Mean length35.242763
Min length20

Characters and Unicode

Total characters346965
Distinct characters661
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9079 ?
Unique (%)92.2%

Sample

1st row서울특별시 강북구 삼양로73가길 3, 1층 (수유동)
2nd row서울특별시 성북구 정릉로38나길 1, 1층 102호 (정릉동)
3rd row서울특별시 중구 명동길 55, 3층 (명동1가)
4th row서울특별시 서초구 서초대로54길 29-30, 1층 (서초동)
5th row서울특별시 중구 다산로35길 20, 1층 (무학동)
ValueCountFrequency (%)
서울특별시 9845
 
14.5%
1층 4553
 
6.7%
강남구 1061
 
1.6%
지하1층 1003
 
1.5%
2층 871
 
1.3%
마포구 740
 
1.1%
송파구 656
 
1.0%
지상1층 611
 
0.9%
중구 582
 
0.9%
영등포구 569
 
0.8%
Other values (9532) 47187
69.7%
2024-05-11T00:27:45.240008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
57852
 
16.7%
1 19820
 
5.7%
12734
 
3.7%
12120
 
3.5%
, 11400
 
3.3%
10669
 
3.1%
10628
 
3.1%
10300
 
3.0%
) 10099
 
2.9%
( 10098
 
2.9%
Other values (651) 181245
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 196174
56.5%
Space Separator 57852
 
16.7%
Decimal Number 57496
 
16.6%
Other Punctuation 11446
 
3.3%
Close Punctuation 10100
 
2.9%
Open Punctuation 10099
 
2.9%
Dash Punctuation 1837
 
0.5%
Uppercase Letter 1679
 
0.5%
Lowercase Letter 161
 
< 0.1%
Math Symbol 90
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
12734
 
6.5%
12120
 
6.2%
10669
 
5.4%
10628
 
5.4%
10300
 
5.3%
10021
 
5.1%
9855
 
5.0%
9845
 
5.0%
8768
 
4.5%
5762
 
2.9%
Other values (579) 95472
48.7%
Uppercase Letter
ValueCountFrequency (%)
B 508
30.3%
A 171
 
10.2%
C 153
 
9.1%
E 92
 
5.5%
S 88
 
5.2%
D 70
 
4.2%
T 69
 
4.1%
M 57
 
3.4%
I 49
 
2.9%
R 46
 
2.7%
Other values (15) 376
22.4%
Lowercase Letter
ValueCountFrequency (%)
e 33
20.5%
n 14
8.7%
a 14
8.7%
i 13
 
8.1%
r 12
 
7.5%
t 11
 
6.8%
o 10
 
6.2%
s 9
 
5.6%
l 8
 
5.0%
y 7
 
4.3%
Other values (9) 30
18.6%
Decimal Number
ValueCountFrequency (%)
1 19820
34.5%
2 8485
14.8%
3 5479
 
9.5%
0 5404
 
9.4%
4 3980
 
6.9%
5 3608
 
6.3%
6 3109
 
5.4%
7 2838
 
4.9%
8 2572
 
4.5%
9 2201
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 11400
99.6%
. 33
 
0.3%
? 5
 
< 0.1%
& 4
 
< 0.1%
/ 2
 
< 0.1%
@ 1
 
< 0.1%
# 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
17
54.8%
11
35.5%
3
 
9.7%
Close Punctuation
ValueCountFrequency (%)
) 10099
> 99.9%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 10098
> 99.9%
[ 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 89
98.9%
+ 1
 
1.1%
Space Separator
ValueCountFrequency (%)
57852
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1837
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 196170
56.5%
Common 148920
42.9%
Latin 1871
 
0.5%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
12734
 
6.5%
12120
 
6.2%
10669
 
5.4%
10628
 
5.4%
10300
 
5.3%
10021
 
5.1%
9855
 
5.0%
9845
 
5.0%
8768
 
4.5%
5762
 
2.9%
Other values (575) 95468
48.7%
Latin
ValueCountFrequency (%)
B 508
27.2%
A 171
 
9.1%
C 153
 
8.2%
E 92
 
4.9%
S 88
 
4.7%
D 70
 
3.7%
T 69
 
3.7%
M 57
 
3.0%
I 49
 
2.6%
R 46
 
2.5%
Other values (37) 568
30.4%
Common
ValueCountFrequency (%)
57852
38.8%
1 19820
 
13.3%
, 11400
 
7.7%
) 10099
 
6.8%
( 10098
 
6.8%
2 8485
 
5.7%
3 5479
 
3.7%
0 5404
 
3.6%
4 3980
 
2.7%
5 3608
 
2.4%
Other values (15) 12695
 
8.5%
Han
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 196170
56.5%
ASCII 150760
43.5%
Number Forms 31
 
< 0.1%
CJK 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
57852
38.4%
1 19820
 
13.1%
, 11400
 
7.6%
) 10099
 
6.7%
( 10098
 
6.7%
2 8485
 
5.6%
3 5479
 
3.6%
0 5404
 
3.6%
4 3980
 
2.6%
5 3608
 
2.4%
Other values (59) 14535
 
9.6%
Hangul
ValueCountFrequency (%)
12734
 
6.5%
12120
 
6.2%
10669
 
5.4%
10628
 
5.4%
10300
 
5.3%
10021
 
5.1%
9855
 
5.0%
9845
 
5.0%
8768
 
4.5%
5762
 
2.9%
Other values (575) 95468
48.7%
Number Forms
ValueCountFrequency (%)
17
54.8%
11
35.5%
3
 
9.7%
CJK
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct3097
Distinct (%)31.6%
Missing185
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean5258.8421
Minimum1000
Maximum8866
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T00:27:45.808355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile1695
Q13789
median5269
Q36972
95-th percentile8614.3
Maximum8866
Range7866
Interquartile range (IQR)3183

Descriptive statistics

Standard deviation2070.1971
Coefficient of variation (CV)0.39366025
Kurtosis-0.88849022
Mean5258.8421
Median Absolute Deviation (MAD)1532
Skewness-0.086843974
Sum51615535
Variance4285715.9
MonotonicityNot monotonic
2024-05-11T00:27:46.432812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6164 72
 
0.7%
7803 41
 
0.4%
7335 39
 
0.4%
7788 37
 
0.4%
3982 36
 
0.4%
4049 32
 
0.3%
5551 30
 
0.3%
7333 29
 
0.3%
4382 28
 
0.3%
7998 28
 
0.3%
Other values (3087) 9443
94.4%
(Missing) 185
 
1.8%
ValueCountFrequency (%)
1000 1
< 0.1%
1001 1
< 0.1%
1004 1
< 0.1%
1009 1
< 0.1%
1010 2
< 0.1%
1011 2
< 0.1%
1012 2
< 0.1%
1014 1
< 0.1%
1016 1
< 0.1%
1019 1
< 0.1%
ValueCountFrequency (%)
8866 2
< 0.1%
8865 2
< 0.1%
8864 3
< 0.1%
8861 1
 
< 0.1%
8859 1
 
< 0.1%
8858 2
< 0.1%
8856 2
< 0.1%
8853 2
< 0.1%
8851 1
 
< 0.1%
8849 1
 
< 0.1%
Distinct9652
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T00:27:47.428733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length37
Mean length7.7007
Min length1

Characters and Unicode

Total characters77007
Distinct characters1217
Distinct categories12 ?
Distinct scripts6 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9393 ?
Unique (%)93.9%

Sample

1st row블리과자점
2nd row홍콩반점0410정릉1동점
3rd row광화문특고기 정동집
4th row끓 서초점
5th row중화일식 피우
ValueCountFrequency (%)
카페 74
 
0.5%
주식회사 63
 
0.4%
41
 
0.3%
강남점 36
 
0.2%
본점 36
 
0.2%
coffee 33
 
0.2%
홍대점 29
 
0.2%
마곡점 25
 
0.2%
마라탕 24
 
0.2%
서울 24
 
0.2%
Other values (11340) 15163
97.5%
2024-05-11T00:27:49.087015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5551
 
7.2%
2630
 
3.4%
1622
 
2.1%
) 1341
 
1.7%
( 1338
 
1.7%
1247
 
1.6%
1007
 
1.3%
662
 
0.9%
654
 
0.8%
602
 
0.8%
Other values (1207) 60353
78.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59543
77.3%
Space Separator 5551
 
7.2%
Lowercase Letter 4102
 
5.3%
Uppercase Letter 3733
 
4.8%
Close Punctuation 1341
 
1.7%
Open Punctuation 1338
 
1.7%
Decimal Number 983
 
1.3%
Other Punctuation 370
 
0.5%
Dash Punctuation 29
 
< 0.1%
Math Symbol 8
 
< 0.1%
Other values (2) 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2630
 
4.4%
1622
 
2.7%
1247
 
2.1%
1007
 
1.7%
662
 
1.1%
654
 
1.1%
602
 
1.0%
576
 
1.0%
551
 
0.9%
526
 
0.9%
Other values (1121) 49466
83.1%
Lowercase Letter
ValueCountFrequency (%)
e 556
13.6%
o 384
 
9.4%
a 369
 
9.0%
i 288
 
7.0%
n 263
 
6.4%
r 247
 
6.0%
t 197
 
4.8%
u 188
 
4.6%
l 187
 
4.6%
s 174
 
4.2%
Other values (16) 1249
30.4%
Uppercase Letter
ValueCountFrequency (%)
A 317
 
8.5%
E 291
 
7.8%
O 285
 
7.6%
C 225
 
6.0%
B 223
 
6.0%
S 208
 
5.6%
T 206
 
5.5%
N 194
 
5.2%
I 193
 
5.2%
R 174
 
4.7%
Other values (16) 1417
38.0%
Other Punctuation
ValueCountFrequency (%)
& 165
44.6%
. 62
 
16.8%
, 42
 
11.4%
' 29
 
7.8%
? 26
 
7.0%
! 20
 
5.4%
: 15
 
4.1%
/ 4
 
1.1%
# 3
 
0.8%
% 1
 
0.3%
Other values (3) 3
 
0.8%
Decimal Number
ValueCountFrequency (%)
1 208
21.2%
2 164
16.7%
0 108
11.0%
9 92
9.4%
8 84
8.5%
3 81
 
8.2%
4 72
 
7.3%
6 62
 
6.3%
7 56
 
5.7%
5 56
 
5.7%
Math Symbol
ValueCountFrequency (%)
+ 5
62.5%
÷ 2
 
25.0%
~ 1
 
12.5%
Other Symbol
ValueCountFrequency (%)
2
50.0%
° 1
25.0%
1
25.0%
Space Separator
ValueCountFrequency (%)
5551
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1341
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1338
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59472
77.2%
Common 9627
 
12.5%
Latin 7835
 
10.2%
Han 63
 
0.1%
Hiragana 8
 
< 0.1%
Katakana 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2630
 
4.4%
1622
 
2.7%
1247
 
2.1%
1007
 
1.7%
662
 
1.1%
654
 
1.1%
602
 
1.0%
576
 
1.0%
551
 
0.9%
526
 
0.9%
Other values (1059) 49395
83.1%
Han
ValueCountFrequency (%)
3
 
4.8%
3
 
4.8%
2
 
3.2%
2
 
3.2%
2
 
3.2%
2
 
3.2%
2
 
3.2%
1
 
1.6%
1
 
1.6%
1
 
1.6%
Other values (44) 44
69.8%
Latin
ValueCountFrequency (%)
e 556
 
7.1%
o 384
 
4.9%
a 369
 
4.7%
A 317
 
4.0%
E 291
 
3.7%
i 288
 
3.7%
O 285
 
3.6%
n 263
 
3.4%
r 247
 
3.2%
C 225
 
2.9%
Other values (42) 4610
58.8%
Common
ValueCountFrequency (%)
5551
57.7%
) 1341
 
13.9%
( 1338
 
13.9%
1 208
 
2.2%
& 165
 
1.7%
2 164
 
1.7%
0 108
 
1.1%
9 92
 
1.0%
8 84
 
0.9%
3 81
 
0.8%
Other values (23) 495
 
5.1%
Hiragana
ValueCountFrequency (%)
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
Katakana
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59468
77.2%
ASCII 17457
 
22.7%
CJK 59
 
0.1%
Hiragana 8
 
< 0.1%
None 6
 
< 0.1%
CJK Compat Ideographs 4
 
< 0.1%
Katakana 2
 
< 0.1%
Compat Jamo 2
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5551
31.8%
) 1341
 
7.7%
( 1338
 
7.7%
e 556
 
3.2%
o 384
 
2.2%
a 369
 
2.1%
A 317
 
1.8%
E 291
 
1.7%
i 288
 
1.6%
O 285
 
1.6%
Other values (71) 6737
38.6%
Hangul
ValueCountFrequency (%)
2630
 
4.4%
1622
 
2.7%
1247
 
2.1%
1007
 
1.7%
662
 
1.1%
654
 
1.1%
602
 
1.0%
576
 
1.0%
551
 
0.9%
526
 
0.9%
Other values (1057) 49391
83.1%
CJK
ValueCountFrequency (%)
3
 
5.1%
3
 
5.1%
2
 
3.4%
2
 
3.4%
2
 
3.4%
2
 
3.4%
2
 
3.4%
1
 
1.7%
1
 
1.7%
1
 
1.7%
Other values (40) 40
67.8%
None
ValueCountFrequency (%)
÷ 2
33.3%
2
33.3%
° 1
16.7%
1
16.7%
Katakana
ValueCountFrequency (%)
2
100.0%
Compat Jamo
ValueCountFrequency (%)
2
100.0%
Hiragana
ValueCountFrequency (%)
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
CJK Compat Ideographs
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%
Distinct9768
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2001-06-15 00:00:00
Maximum2024-05-09 16:56:06
2024-05-11T00:27:49.526659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:27:49.971758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
U
5435 
I
4565 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 5435
54.4%
I 4565
45.6%

Length

2024-05-11T00:27:50.389986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:27:50.691204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 5435
54.4%
i 4565
45.6%
Distinct419
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T00:27:51.020769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:27:51.405273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한식
3777 
기타
2578 
경양식
794 
일식
609 
호프/통닭
562 
Other values (20)
1680 

Length

Max length15
Median length2
Mean length2.7933
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row기타
2nd row중국식
3rd row한식
4th row한식
5th row일식

Common Values

ValueCountFrequency (%)
한식 3777
37.8%
기타 2578
25.8%
경양식 794
 
7.9%
일식 609
 
6.1%
호프/통닭 562
 
5.6%
분식 512
 
5.1%
중국식 381
 
3.8%
외국음식전문점(인도,태국등) 228
 
2.3%
식육(숯불구이) 97
 
1.0%
정종/대포집/소주방 84
 
0.8%
Other values (15) 378
 
3.8%

Length

2024-05-11T00:27:51.872774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 3777
37.8%
기타 2578
25.8%
경양식 794
 
7.9%
일식 609
 
6.1%
호프/통닭 562
 
5.6%
분식 512
 
5.1%
중국식 381
 
3.8%
외국음식전문점(인도,태국등 228
 
2.3%
식육(숯불구이 97
 
1.0%
정종/대포집/소주방 84
 
0.8%
Other values (15) 378
 
3.8%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct7705
Distinct (%)78.3%
Missing158
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean198955.03
Minimum181682.43
Maximum215487.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T00:27:52.177448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum181682.43
5-th percentile186428.73
Q1193057.74
median199830.64
Q3204279.4
95-th percentile210580.68
Maximum215487.94
Range33805.511
Interquartile range (IQR)11221.656

Descriptive statistics

Standard deviation7172.5169
Coefficient of variation (CV)0.036050945
Kurtosis-0.83445893
Mean198955.03
Median Absolute Deviation (MAD)5745.818
Skewness-0.11939106
Sum1.9581154 × 109
Variance51444999
MonotonicityNot monotonic
2024-05-11T00:27:52.676165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205130.591678902 48
 
0.5%
193592.000380036 39
 
0.4%
209074.900840074 30
 
0.3%
188884.075622342 28
 
0.3%
200250.447804795 25
 
0.2%
205210.358779172 23
 
0.2%
196762.077394917 21
 
0.2%
208589.363343145 21
 
0.2%
198259.65357739 19
 
0.2%
206279.206641169 17
 
0.2%
Other values (7695) 9571
95.7%
(Missing) 158
 
1.6%
ValueCountFrequency (%)
181682.433518522 1
 
< 0.1%
182524.823835629 1
 
< 0.1%
182876.367858149 4
< 0.1%
182895.668483962 1
 
< 0.1%
182984.891498757 2
< 0.1%
183013.262813092 2
< 0.1%
183053.939733689 1
 
< 0.1%
183112.485298834 1
 
< 0.1%
183132.629865058 2
< 0.1%
183144.758666667 1
 
< 0.1%
ValueCountFrequency (%)
215487.94428281 1
< 0.1%
215333.558347275 2
< 0.1%
215303.913311463 1
< 0.1%
215279.715657108 1
< 0.1%
215193.397111566 1
< 0.1%
215189.45156682 1
< 0.1%
215154.714074181 1
< 0.1%
215145.165740692 1
< 0.1%
215143.664348974 1
< 0.1%
215129.842193761 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct7705
Distinct (%)78.3%
Missing158
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean449077.32
Minimum436897.47
Maximum465066.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T00:27:53.184597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum436897.47
5-th percentile441858.77
Q1445090.87
median448965.43
Q3451864.3
95-th percentile459083.49
Maximum465066.42
Range28168.957
Interquartile range (IQR)6773.4245

Descriptive statistics

Standard deviation5061.6722
Coefficient of variation (CV)0.011271271
Kurtosis-0.027366383
Mean449077.32
Median Absolute Deviation (MAD)3407.0914
Skewness0.52221693
Sum4.419819 × 109
Variance25620525
MonotonicityNot monotonic
2024-05-11T00:27:53.694512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
445590.096837802 48
 
0.5%
447092.629432527 39
 
0.4%
445657.80932984 30
 
0.3%
447186.888604306 28
 
0.3%
444683.220506107 25
 
0.2%
445154.42225208 23
 
0.2%
447480.039577359 21
 
0.2%
445455.90405262 21
 
0.2%
451392.198218657 19
 
0.2%
443733.802684109 17
 
0.2%
Other values (7695) 9571
95.7%
(Missing) 158
 
1.6%
ValueCountFrequency (%)
436897.466167682 1
< 0.1%
436946.358720615 1
< 0.1%
437789.156445333 1
< 0.1%
437914.06299827 1
< 0.1%
437930.916808011 1
< 0.1%
437938.827513414 1
< 0.1%
437956.758392089 1
< 0.1%
438236.778345968 1
< 0.1%
438282.743880863 1
< 0.1%
438307.022609784 1
< 0.1%
ValueCountFrequency (%)
465066.422725731 1
< 0.1%
464817.616427272 1
< 0.1%
464814.717432497 1
< 0.1%
464731.761130542 1
< 0.1%
464667.465658621 1
< 0.1%
464649.181808576 1
< 0.1%
464621.491955908 1
< 0.1%
464212.297931928 1
< 0.1%
464206.01060597 1
< 0.1%
464199.048415229 1
< 0.1%

위생업태명
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9843 
한식
 
68
기타
 
25
분식
 
23
경양식
 
19
Other values (6)
 
22

Length

Max length6
Median length4
Mean length3.9735
Min length2

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> 9843
98.4%
한식 68
 
0.7%
기타 25
 
0.2%
분식 23
 
0.2%
경양식 19
 
0.2%
일식 7
 
0.1%
호프/통닭 7
 
0.1%
중국식 5
 
0.1%
통닭(치킨) 1
 
< 0.1%
횟집 1
 
< 0.1%

Length

2024-05-11T00:27:54.085819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9843
98.4%
한식 68
 
0.7%
기타 25
 
0.2%
분식 23
 
0.2%
경양식 19
 
0.2%
일식 7
 
0.1%
호프/통닭 7
 
0.1%
중국식 5
 
< 0.1%
통닭(치킨 1
 
< 0.1%
횟집 1
 
< 0.1%

남성종사자수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9911 
0
 
55
1
 
21
2
 
10
3
 
3

Length

Max length4
Median length4
Mean length3.9733
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> 9911
99.1%
0 55
 
0.5%
1 21
 
0.2%
2 10
 
0.1%
3 3
 
< 0.1%

Length

2024-05-11T00:27:54.537102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:27:54.860815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9911
99.1%
0 55
 
0.5%
1 21
 
0.2%
2 10
 
0.1%
3 3
 
< 0.1%

여성종사자수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)6.7%
Missing9910
Missing (%)99.1%
Infinite0
Infinite (%)0.0%
Mean0.83333333
Minimum0
Maximum7
Zeros47
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T00:27:55.262065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1827411
Coefficient of variation (CV)1.4192893
Kurtosis7.4729995
Mean0.83333333
Median Absolute Deviation (MAD)0
Skewness2.2063401
Sum75
Variance1.3988764
MonotonicityNot monotonic
2024-05-11T00:27:55.647879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 47
 
0.5%
1 24
 
0.2%
2 11
 
0.1%
3 6
 
0.1%
7 1
 
< 0.1%
4 1
 
< 0.1%
(Missing) 9910
99.1%
ValueCountFrequency (%)
0 47
0.5%
1 24
0.2%
2 11
 
0.1%
3 6
 
0.1%
4 1
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
7 1
 
< 0.1%
4 1
 
< 0.1%
3 6
 
0.1%
2 11
 
0.1%
1 24
0.2%
0 47
0.5%

영업장주변구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9923 
기타
 
63
유흥업소밀집지역
 
8
주택가주변
 
4
아파트지역
 
2

Length

Max length8
Median length4
Mean length3.9912
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> 9923
99.2%
기타 63
 
0.6%
유흥업소밀집지역 8
 
0.1%
주택가주변 4
 
< 0.1%
아파트지역 2
 
< 0.1%

Length

2024-05-11T00:27:56.091774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:27:56.443340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9923
99.2%
기타 63
 
0.6%
유흥업소밀집지역 8
 
0.1%
주택가주변 4
 
< 0.1%
아파트지역 2
 
< 0.1%

등급구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9926 
기타
 
32
 
18
 
13
지도
 
8

Length

Max length4
Median length4
Mean length3.9821
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> 9926
99.3%
기타 32
 
0.3%
18
 
0.2%
13
 
0.1%
지도 8
 
0.1%
자율 3
 
< 0.1%

Length

2024-05-11T00:27:56.921877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:27:57.474488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9926
99.3%
기타 32
 
0.3%
18
 
0.2%
13
 
0.1%
지도 8
 
0.1%
자율 3
 
< 0.1%

급수시설구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9909 
상수도전용
 
91

Length

Max length5
Median length4
Mean length4.0091
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> 9909
99.1%
상수도전용 91
 
0.9%

Length

2024-05-11T00:27:58.244337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:27:58.679103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9909
99.1%
상수도전용 91
 
0.9%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9993 
0
 
7

Length

Max length4
Median length4
Mean length3.9979
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> 9993
99.9%
0 7
 
0.1%

Length

2024-05-11T00:27:59.050669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:27:59.465028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9993
99.9%
0 7
 
0.1%

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9993 
0
 
7

Length

Max length4
Median length4
Mean length3.9979
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> 9993
99.9%
0 7
 
0.1%

Length

2024-05-11T00:28:00.052458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:28:00.450481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9993
99.9%
0 7
 
0.1%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9993 
0
 
7

Length

Max length4
Median length4
Mean length3.9979
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> 9993
99.9%
0 7
 
0.1%

Length

2024-05-11T00:28:01.077200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:28:01.503870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9993
99.9%
0 7
 
0.1%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9993 
0
 
7

Length

Max length4
Median length4
Mean length3.9979
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> 9993
99.9%
0 7
 
0.1%

Length

2024-05-11T00:28:02.143257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:28:02.650703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9993
99.9%
0 7
 
0.1%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9993 
0
 
7

Length

Max length4
Median length4
Mean length3.9979
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> 9993
99.9%
0 7
 
0.1%

Length

2024-05-11T00:28:03.154078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:28:03.519948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9993
99.9%
0 7
 
0.1%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9993 
0
 
7

Length

Max length4
Median length4
Mean length3.9979
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> 9993
99.9%
0 7
 
0.1%

Length

2024-05-11T00:28:04.173334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:28:04.835922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9993
99.9%
0 7
 
0.1%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9993 
0
 
7

Length

Max length4
Median length4
Mean length3.9979
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> 9993
99.9%
0 7
 
0.1%

Length

2024-05-11T00:28:05.356025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:28:05.833094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9993
99.9%
0 7
 
0.1%

다중이용업소여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)1.3%
Missing9843
Missing (%)98.4%
Memory size97.7 KiB
False
 
148
True
 
9
(Missing)
9843 
ValueCountFrequency (%)
False 148
 
1.5%
True 9
 
0.1%
(Missing) 9843
98.4%
2024-05-11T00:28:06.248846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING 

Distinct149
Distinct (%)94.9%
Missing9843
Missing (%)98.4%
Infinite0
Infinite (%)0.0%
Mean67.829809
Minimum0
Maximum548.76
Zeros5
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T00:28:06.624964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.806
Q124
median45.65
Q386.48
95-th percentile178.228
Maximum548.76
Range548.76
Interquartile range (IQR)62.48

Descriptive statistics

Standard deviation76.755589
Coefficient of variation (CV)1.1315908
Kurtosis13.826512
Mean67.829809
Median Absolute Deviation (MAD)26.67
Skewness3.2028834
Sum10649.28
Variance5891.4204
MonotonicityNot monotonic
2024-05-11T00:28:07.286087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 5
 
0.1%
24.0 3
 
< 0.1%
15.0 2
 
< 0.1%
16.5 2
 
< 0.1%
86.48 1
 
< 0.1%
55.99 1
 
< 0.1%
92.15 1
 
< 0.1%
66.0 1
 
< 0.1%
108.58 1
 
< 0.1%
36.0 1
 
< 0.1%
Other values (139) 139
 
1.4%
(Missing) 9843
98.4%
ValueCountFrequency (%)
0.0 5
0.1%
3.2 1
 
< 0.1%
5.4 1
 
< 0.1%
6.75 1
 
< 0.1%
6.82 1
 
< 0.1%
9.06 1
 
< 0.1%
10.0 1
 
< 0.1%
11.8 1
 
< 0.1%
12.2 1
 
< 0.1%
12.4 1
 
< 0.1%
ValueCountFrequency (%)
548.76 1
< 0.1%
427.8 1
< 0.1%
360.43 1
< 0.1%
343.84 1
< 0.1%
284.87 1
< 0.1%
215.83 1
< 0.1%
181.06 1
< 0.1%
179.02 1
< 0.1%
178.03 1
< 0.1%
176.91 1
< 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
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
211230800003080000-101-2023-001822023-07-10<NA>1영업/정상1영업<NA><NA><NA><NA><NA>74.0142-875서울특별시 강북구 수유동 482-34 1층서울특별시 강북구 삼양로73가길 3, 1층 (수유동)1103블리과자점2024-01-18 17:30:51U2023-11-30 22:00:00.0기타201473.551546458556.077987<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1757030700003070000-101-2023-002812023-08-18<NA>3폐업2폐업2024-02-15<NA><NA><NA><NA>26.4136-841서울특별시 성북구 정릉동 16-173서울특별시 성북구 정릉로38나길 1, 1층 102호 (정릉동)2816홍콩반점0410정릉1동점2024-02-15 13:54:42U2023-12-01 23:07:00.0중국식201598.888913455526.547067<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
186830100003010000-101-2023-000782023-03-06<NA>1영업/정상1영업<NA><NA><NA><NA><NA>244.36100-021서울특별시 중구 명동1가 7-1서울특별시 중구 명동길 55, 3층 (명동1가)4538광화문특고기 정동집2023-03-06 17:01:29I2022-12-03 00:08:00.0한식198636.142124451325.229841<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2098232100003210000-101-2024-001822024-04-18<NA>1영업/정상1영업<NA><NA><NA><NA>02 593 150846.75137-881서울특별시 서초구 서초동 1666-9 1층서울특별시 서초구 서초대로54길 29-30, 1층 (서초동)6633끓 서초점2024-04-18 10:14:51I2023-12-03 22:00:00.0한식201431.939943443420.310972<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2295630100003010000-101-2024-001592024-04-19<NA>1영업/정상1영업<NA><NA><NA><NA><NA>59.5100-420서울특별시 중구 무학동 58서울특별시 중구 다산로35길 20, 1층 (무학동)4611중화일식 피우2024-04-19 10:19:20I2023-12-03 22:01:00.0일식201236.88229451290.278488<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2234931400003140000-101-2023-003172023-11-02<NA>1영업/정상1영업<NA><NA><NA><NA><NA>32.0158-815서울특별시 양천구 목동 745-9서울특별시 양천구 목동중앙본로5길 29, 1층 (목동)7960호미스피자 목동행복점2023-11-02 14:27:13I2022-11-01 00:04:00.0기타188280.597937448477.333013<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1233332400003240000-101-2023-003672023-09-21<NA>1영업/정상1영업<NA><NA><NA><NA><NA>99.12134-803서울특별시 강동구 고덕동 343-2 강동U1센터서울특별시 강동구 고덕비즈밸리로 26, 강동U1센터 1층 B-107,108호 (고덕동)5203킹콩부대찌개 고덕비즈밸리점2023-10-04 09:33:27U2022-10-31 00:06:00.0한식214075.140423451485.809606<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1660730500003050000-101-2023-002362023-05-15<NA>1영업/정상1영업<NA><NA><NA><NA><NA>32.39130-070서울특별시 동대문구 용두동 797 청량리역 해링턴플레이스서울특별시 동대문구 고산자로34길 70, 청량리역 해링턴플레이스 1층 110호 (용두동)2560블랙디쉬(B.D)2023-06-30 16:26:38I2022-12-07 00:02:00.0기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
244730100003010000-101-2015-002902015-10-13<NA>1영업/정상1영업<NA><NA><NA><NA><NA>50.9100-440서울특별시 중구 황학동 2545 롯데캐슬베네치아 메가몰동 1227-2호서울특별시 중구 청계천로 400 (황학동, 롯데캐슬베네치아 메가몰동 1227-2호)4572바르다김선생 황학롯데캐슬점2023-04-06 15:34:38U2022-12-04 00:08:00.0한식201823.908977452076.818664<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1437030400003040000-101-2023-002362023-06-19<NA>1영업/정상1영업<NA><NA><NA><NA><NA>79.0143-916서울특별시 광진구 화양동 18-26 1층서울특별시 광진구 동일로30길 51, 1층 (화양동)5008푸라닭 화양점2023-06-19 11:43:24I2022-12-05 22:01:00.0호프/통닭206134.743579449480.589211<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
2447231000003100000-101-2018-000772018-04-04<NA>1영업/정상1영업<NA><NA><NA><NA><NA>21.8139-813서울특별시 노원구 상계동 156-79서울특별시 노원구 한글비석로24나길 12, 1층 (상계동)1668내장연구실2024-03-04 15:20:16U2023-12-03 00:06:00.0한식206271.192736462241.794759<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1837330500003050000-101-2004-002712004-06-08<NA>1영업/정상1영업<NA><NA><NA><NA>022248725159.4130-874서울특별시 동대문구 휘경동 28-12 1층서울특별시 동대문구 망우로20길 16, 1층 (휘경동)2501장수식당2023-10-16 15:21:06U2022-10-30 23:08:00.0분식205528.135103454191.504035<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1527231600003160000-101-2023-002052023-06-26<NA>1영업/정상1영업<NA><NA><NA><NA><NA>20.0152-814서울특별시 구로구 개봉동 328-1서울특별시 구로구 개봉로17길 7, 1층 (개봉동)8347곽선생왕만두2023-06-26 13:28:01I2022-12-05 22:08:00.0분식187145.971364443270.738998<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
395931100003110000-101-2006-000732006-04-12<NA>1영업/정상1영업<NA><NA><NA><NA><NA>105.18122-050서울특별시 은평구 갈현동 401-7 ,13(지상1층)서울특별시 은평구 연서로29길 20-11 (갈현동,,13(지상1층))3330제일곱창2023-04-10 13:38:50U2022-12-03 23:02:00.0한식192737.123703457501.629874<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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