Overview

Dataset statistics

Number of variables44
Number of observations212
Missing cells1824
Missing cells (%)19.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory78.0 KiB
Average record size in memory376.6 B

Variable types

Categorical22
Text6
DateTime4
Unsupported7
Numeric4
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
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-18180/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (67.2%)Imbalance
여성종사자수 is highly imbalanced (67.2%)Imbalance
영업장주변구분명 is highly imbalanced (65.0%)Imbalance
등급구분명 is highly imbalanced (64.9%)Imbalance
총인원 is highly imbalanced (58.1%)Imbalance
보증액 is highly imbalanced (56.5%)Imbalance
월세액 is highly imbalanced (56.5%)Imbalance
시설총규모 is highly imbalanced (63.7%)Imbalance
인허가취소일자 has 212 (100.0%) missing valuesMissing
폐업일자 has 56 (26.4%) missing valuesMissing
휴업시작일자 has 212 (100.0%) missing valuesMissing
휴업종료일자 has 212 (100.0%) missing valuesMissing
재개업일자 has 212 (100.0%) missing valuesMissing
전화번호 has 90 (42.5%) missing valuesMissing
소재지면적 has 14 (6.6%) missing valuesMissing
도로명주소 has 66 (31.1%) missing valuesMissing
도로명우편번호 has 66 (31.1%) missing valuesMissing
좌표정보(X) has 3 (1.4%) missing valuesMissing
좌표정보(Y) has 3 (1.4%) missing valuesMissing
다중이용업소여부 has 42 (19.8%) missing valuesMissing
전통업소지정번호 has 212 (100.0%) missing valuesMissing
전통업소주된음식 has 212 (100.0%) missing valuesMissing
홈페이지 has 212 (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
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 started2024-04-17 05:56:47.241946
Analysis finished2024-04-17 05:56:47.926741
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
3030000
212 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3030000
2nd row3030000
3rd row3030000
4th row3030000
5th row3030000

Common Values

ValueCountFrequency (%)
3030000 212
100.0%

Length

2024-04-17T14:56:47.982013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:56:48.072968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 212
100.0%

관리번호
Text

UNIQUE 

Distinct212
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-04-17T14:56:48.233571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters4664
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

Unique212 ?
Unique (%)100.0%

Sample

1st row3030000-109-1979-00056
2nd row3030000-109-1989-00055
3rd row3030000-109-1993-00057
4th row3030000-109-1994-00047
5th row3030000-109-1995-00058
ValueCountFrequency (%)
3030000-109-1979-00056 1
 
0.5%
3030000-109-2016-00011 1
 
0.5%
3030000-109-2018-00002 1
 
0.5%
3030000-109-2017-00001 1
 
0.5%
3030000-109-2017-00002 1
 
0.5%
3030000-109-2017-00003 1
 
0.5%
3030000-109-2017-00004 1
 
0.5%
3030000-109-2017-00005 1
 
0.5%
3030000-109-2017-00006 1
 
0.5%
3030000-109-2017-00007 1
 
0.5%
Other values (202) 202
95.3%
2024-04-17T14:56:48.554582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2326
49.9%
- 636
 
13.6%
3 473
 
10.1%
1 403
 
8.6%
9 294
 
6.3%
2 292
 
6.3%
6 59
 
1.3%
7 54
 
1.2%
8 48
 
1.0%
5 46
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4028
86.4%
Dash Punctuation 636
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2326
57.7%
3 473
 
11.7%
1 403
 
10.0%
9 294
 
7.3%
2 292
 
7.2%
6 59
 
1.5%
7 54
 
1.3%
8 48
 
1.2%
5 46
 
1.1%
4 33
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 636
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4664
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2326
49.9%
- 636
 
13.6%
3 473
 
10.1%
1 403
 
8.6%
9 294
 
6.3%
2 292
 
6.3%
6 59
 
1.3%
7 54
 
1.2%
8 48
 
1.0%
5 46
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4664
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2326
49.9%
- 636
 
13.6%
3 473
 
10.1%
1 403
 
8.6%
9 294
 
6.3%
2 292
 
6.3%
6 59
 
1.3%
7 54
 
1.2%
8 48
 
1.0%
5 46
 
1.0%

인허가일자
Date

Distinct206
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum1979-04-26 00:00:00
Maximum2024-03-26 00:00:00
2024-04-17T14:56:48.721803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T14:56:48.861697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing212
Missing (%)100.0%
Memory size2.0 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
3
156 
1
56 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 156
73.6%
1 56
 
26.4%

Length

2024-04-17T14:56:48.985230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:56:49.071196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 156
73.6%
1 56
 
26.4%

영업상태명
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
폐업
156 
영업/정상
56 

Length

Max length5
Median length2
Mean length2.7924528
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 156
73.6%
영업/정상 56
 
26.4%

Length

2024-04-17T14:56:49.170757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:56:49.264500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 156
73.6%
영업/정상 56
 
26.4%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2
156 
1
56 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 156
73.6%
1 56
 
26.4%

Length

2024-04-17T14:56:49.360219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:56:49.446373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 156
73.6%
1 56
 
26.4%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
폐업
156 
영업
56 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 156
73.6%
영업 56
 
26.4%

Length

2024-04-17T14:56:49.536463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:56:49.625144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 156
73.6%
영업 56
 
26.4%

폐업일자
Date

MISSING 

Distinct138
Distinct (%)88.5%
Missing56
Missing (%)26.4%
Memory size1.8 KiB
Minimum1996-05-23 00:00:00
Maximum2024-03-06 00:00:00
2024-04-17T14:56:49.723099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T14:56:49.849123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing212
Missing (%)100.0%
Memory size2.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing212
Missing (%)100.0%
Memory size2.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing212
Missing (%)100.0%
Memory size2.0 KiB

전화번호
Text

MISSING 

Distinct108
Distinct (%)88.5%
Missing90
Missing (%)42.5%
Memory size1.8 KiB
2024-04-17T14:56:50.053897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.9672131
Min length2

Characters and Unicode

Total characters1216
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

Unique105 ?
Unique (%)86.1%

Sample

1st row02
2nd row0222937883
3rd row02
4th row02 4694154
5th row02
ValueCountFrequency (%)
02 61
31.4%
070 7
 
3.6%
07088275994 2
 
1.0%
000222001210 2
 
1.0%
22991077 1
 
0.5%
7900 1
 
0.5%
41261230 1
 
0.5%
024641112 1
 
0.5%
0263392631 1
 
0.5%
4611411 1
 
0.5%
Other values (116) 116
59.8%
2024-04-17T14:56:50.391930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 241
19.8%
2 236
19.4%
4 112
9.2%
101
8.3%
1 81
 
6.7%
6 81
 
6.7%
3 79
 
6.5%
7 76
 
6.2%
9 76
 
6.2%
8 74
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1115
91.7%
Space Separator 101
 
8.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 241
21.6%
2 236
21.2%
4 112
10.0%
1 81
 
7.3%
6 81
 
7.3%
3 79
 
7.1%
7 76
 
6.8%
9 76
 
6.8%
8 74
 
6.6%
5 59
 
5.3%
Space Separator
ValueCountFrequency (%)
101
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1216
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 241
19.8%
2 236
19.4%
4 112
9.2%
101
8.3%
1 81
 
6.7%
6 81
 
6.7%
3 79
 
6.5%
7 76
 
6.2%
9 76
 
6.2%
8 74
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1216
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 241
19.8%
2 236
19.4%
4 112
9.2%
101
8.3%
1 81
 
6.7%
6 81
 
6.7%
3 79
 
6.5%
7 76
 
6.2%
9 76
 
6.2%
8 74
 
6.1%

소재지면적
Real number (ℝ)

MISSING 

Distinct147
Distinct (%)74.2%
Missing14
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean32.924495
Minimum0
Maximum239.03
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-17T14:56:50.526329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.3
Q18.37
median16.9
Q340.6525
95-th percentile110.405
Maximum239.03
Range239.03
Interquartile range (IQR)32.2825

Descriptive statistics

Standard deviation39.098829
Coefficient of variation (CV)1.1875301
Kurtosis7.3915159
Mean32.924495
Median Absolute Deviation (MAD)11.31
Skewness2.4156491
Sum6519.05
Variance1528.7184
MonotonicityNot monotonic
2024-04-17T14:56:50.658110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.6 6
 
2.8%
10.0 6
 
2.8%
15.0 5
 
2.4%
30.0 4
 
1.9%
9.9 4
 
1.9%
4.0 4
 
1.9%
13.2 4
 
1.9%
3.3 4
 
1.9%
33.0 4
 
1.9%
13.0 3
 
1.4%
Other values (137) 154
72.6%
(Missing) 14
 
6.6%
ValueCountFrequency (%)
0.0 1
 
0.5%
1.0 1
 
0.5%
1.28 1
 
0.5%
1.62 1
 
0.5%
2.16 1
 
0.5%
2.53 1
 
0.5%
2.64 1
 
0.5%
3.0 2
0.9%
3.3 4
1.9%
4.0 4
1.9%
ValueCountFrequency (%)
239.03 1
0.5%
231.26 1
0.5%
168.0 1
0.5%
165.0 1
0.5%
124.8 1
0.5%
124.6 1
0.5%
123.75 1
0.5%
120.0 1
0.5%
116.8 1
0.5%
112.7 1
0.5%

소재지우편번호
Text

Distinct72
Distinct (%)34.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-04-17T14:56:50.905693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1509434
Min length6

Characters and Unicode

Total characters1304
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

Unique26 ?
Unique (%)12.3%

Sample

1st row133826
2nd row133854
3rd row133836
4th row133833
5th row133820
ValueCountFrequency (%)
133832 15
 
7.1%
133827 11
 
5.2%
133828 9
 
4.2%
133070 9
 
4.2%
133825 8
 
3.8%
133833 8
 
3.8%
133866 6
 
2.8%
133852 6
 
2.8%
133819 6
 
2.8%
133924 5
 
2.4%
Other values (62) 129
60.8%
2024-04-17T14:56:51.252179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 494
37.9%
1 247
18.9%
8 214
16.4%
2 101
 
7.7%
0 56
 
4.3%
7 39
 
3.0%
5 34
 
2.6%
4 32
 
2.5%
- 32
 
2.5%
9 29
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1272
97.5%
Dash Punctuation 32
 
2.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 494
38.8%
1 247
19.4%
8 214
16.8%
2 101
 
7.9%
0 56
 
4.4%
7 39
 
3.1%
5 34
 
2.7%
4 32
 
2.5%
9 29
 
2.3%
6 26
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1304
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 494
37.9%
1 247
18.9%
8 214
16.4%
2 101
 
7.7%
0 56
 
4.3%
7 39
 
3.0%
5 34
 
2.6%
4 32
 
2.5%
- 32
 
2.5%
9 29
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1304
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 494
37.9%
1 247
18.9%
8 214
16.4%
2 101
 
7.7%
0 56
 
4.3%
7 39
 
3.0%
5 34
 
2.6%
4 32
 
2.5%
- 32
 
2.5%
9 29
 
2.2%

지번주소
Text

Distinct203
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-04-17T14:56:51.531089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length34
Mean length25.476415
Min length17

Characters and Unicode

Total characters5401
Distinct characters179
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

Unique196 ?
Unique (%)92.5%

Sample

1st row서울특별시 성동구 성수동2가 261
2nd row서울특별시 성동구 하왕십리동 291-10
3rd row서울특별시 성동구 송정동 66-197
4th row서울특별시 성동구 성수동2가 284-66
5th row서울특별시 성동구 성수동1가 630-3
ValueCountFrequency (%)
서울특별시 212
21.2%
성동구 212
21.2%
성수동2가 78
 
7.8%
성수동1가 36
 
3.6%
행당동 30
 
3.0%
지상1층 16
 
1.6%
용답동 13
 
1.3%
지상2층 12
 
1.2%
마장동 11
 
1.1%
옥수동 8
 
0.8%
Other values (293) 373
37.3%
2024-04-17T14:56:51.904977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
953
17.6%
동 435
 
8.1%
성 331
 
6.1%
2 240
 
4.4%
1 231
 
4.3%
울 219
 
4.1%
서 217
 
4.0%
시 212
 
3.9%
구 212
 
3.9%
별 212
 
3.9%
Other values (169) 2139
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3019
55.9%
Decimal Number 1177
 
21.8%
Space Separator 953
 
17.6%
Dash Punctuation 169
 
3.1%
Close Punctuation 25
 
0.5%
Open Punctuation 24
 
0.4%
Uppercase Letter 24
 
0.4%
Other Punctuation 5
 
0.1%
Lowercase Letter 4
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 435
14.4%
성 331
11.0%
울 219
 
7.3%
서 217
 
7.2%
시 212
 
7.0%
구 212
 
7.0%
별 212
 
7.0%
특 212
 
7.0%
가 135
 
4.5%
수 129
 
4.3%
Other values (136) 705
23.4%
Uppercase Letter
ValueCountFrequency (%)
T 4
16.7%
E 3
12.5%
B 2
8.3%
K 2
8.3%
S 2
8.3%
R 2
8.3%
G 2
8.3%
I 2
8.3%
O 1
 
4.2%
L 1
 
4.2%
Other values (3) 3
12.5%
Decimal Number
ValueCountFrequency (%)
2 240
20.4%
1 231
19.6%
3 140
11.9%
6 102
8.7%
4 92
 
7.8%
5 82
 
7.0%
7 76
 
6.5%
0 74
 
6.3%
8 72
 
6.1%
9 68
 
5.8%
Lowercase Letter
ValueCountFrequency (%)
r 1
25.0%
e 1
25.0%
w 1
25.0%
o 1
25.0%
Space Separator
ValueCountFrequency (%)
953
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 169
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3019
55.9%
Common 2354
43.6%
Latin 28
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 435
14.4%
성 331
11.0%
울 219
 
7.3%
서 217
 
7.2%
시 212
 
7.0%
구 212
 
7.0%
별 212
 
7.0%
특 212
 
7.0%
가 135
 
4.5%
수 129
 
4.3%
Other values (136) 705
23.4%
Latin
ValueCountFrequency (%)
T 4
14.3%
E 3
10.7%
B 2
 
7.1%
K 2
 
7.1%
S 2
 
7.1%
R 2
 
7.1%
G 2
 
7.1%
I 2
 
7.1%
O 1
 
3.6%
r 1
 
3.6%
Other values (7) 7
25.0%
Common
ValueCountFrequency (%)
953
40.5%
2 240
 
10.2%
1 231
 
9.8%
- 169
 
7.2%
3 140
 
5.9%
6 102
 
4.3%
4 92
 
3.9%
5 82
 
3.5%
7 76
 
3.2%
0 74
 
3.1%
Other values (6) 195
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3019
55.9%
ASCII 2382
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
953
40.0%
2 240
 
10.1%
1 231
 
9.7%
- 169
 
7.1%
3 140
 
5.9%
6 102
 
4.3%
4 92
 
3.9%
5 82
 
3.4%
7 76
 
3.2%
0 74
 
3.1%
Other values (23) 223
 
9.4%
Hangul
ValueCountFrequency (%)
동 435
14.4%
성 331
11.0%
울 219
 
7.3%
서 217
 
7.2%
시 212
 
7.0%
구 212
 
7.0%
별 212
 
7.0%
특 212
 
7.0%
가 135
 
4.5%
수 129
 
4.3%
Other values (136) 705
23.4%

도로명주소
Text

MISSING 

Distinct144
Distinct (%)98.6%
Missing66
Missing (%)31.1%
Memory size1.8 KiB
2024-04-17T14:56:52.157852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length43
Mean length35.89726
Min length25

Characters and Unicode

Total characters5241
Distinct characters177
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

Unique142 ?
Unique (%)97.3%

Sample

1st row서울특별시 성동구 청계천로 452 (하왕십리동)
2nd row서울특별시 성동구 독서당로 302 (금호동4가,544,547)
3rd row서울특별시 성동구 행당로 84, 지하3층 (행당동, 346 한진타운상가)
4th row서울특별시 성동구 성수일로12길 25 (성수동2가)
5th row서울특별시 성동구 고산자로6길 40 (행당동,레몬프라자 101,102호)
ValueCountFrequency (%)
서울특별시 146
 
14.9%
성동구 146
 
14.9%
성수동2가 53
 
5.4%
1층 36
 
3.7%
성수동1가 24
 
2.5%
2층 23
 
2.4%
지하1층 16
 
1.6%
지상1층 12
 
1.2%
행당동 12
 
1.2%
용답동 10
 
1.0%
Other values (336) 499
51.1%
2024-04-17T14:56:52.848246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
831
 
15.9%
동 314
 
6.0%
1 292
 
5.6%
성 268
 
5.1%
2 204
 
3.9%
, 185
 
3.5%
서 164
 
3.1%
울 157
 
3.0%
) 152
 
2.9%
( 152
 
2.9%
Other values (167) 2522
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2917
55.7%
Decimal Number 946
 
18.0%
Space Separator 831
 
15.9%
Other Punctuation 185
 
3.5%
Close Punctuation 152
 
2.9%
Open Punctuation 152
 
2.9%
Dash Punctuation 39
 
0.7%
Uppercase Letter 14
 
0.3%
Lowercase Letter 4
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 314
 
10.8%
성 268
 
9.2%
서 164
 
5.6%
울 157
 
5.4%
시 149
 
5.1%
특 146
 
5.0%
별 146
 
5.0%
구 146
 
5.0%
층 133
 
4.6%
수 120
 
4.1%
Other values (140) 1174
40.2%
Decimal Number
ValueCountFrequency (%)
1 292
30.9%
2 204
21.6%
3 88
 
9.3%
0 79
 
8.4%
4 65
 
6.9%
5 61
 
6.4%
6 46
 
4.9%
7 41
 
4.3%
9 41
 
4.3%
8 29
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
B 7
50.0%
T 2
 
14.3%
C 1
 
7.1%
A 1
 
7.1%
K 1
 
7.1%
L 1
 
7.1%
I 1
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
e 1
25.0%
o 1
25.0%
w 1
25.0%
r 1
25.0%
Space Separator
ValueCountFrequency (%)
831
100.0%
Other Punctuation
ValueCountFrequency (%)
, 185
100.0%
Close Punctuation
ValueCountFrequency (%)
) 152
100.0%
Open Punctuation
ValueCountFrequency (%)
( 152
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2917
55.7%
Common 2306
44.0%
Latin 18
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 314
 
10.8%
성 268
 
9.2%
서 164
 
5.6%
울 157
 
5.4%
시 149
 
5.1%
특 146
 
5.0%
별 146
 
5.0%
구 146
 
5.0%
층 133
 
4.6%
수 120
 
4.1%
Other values (140) 1174
40.2%
Common
ValueCountFrequency (%)
831
36.0%
1 292
 
12.7%
2 204
 
8.8%
, 185
 
8.0%
) 152
 
6.6%
( 152
 
6.6%
3 88
 
3.8%
0 79
 
3.4%
4 65
 
2.8%
5 61
 
2.6%
Other values (6) 197
 
8.5%
Latin
ValueCountFrequency (%)
B 7
38.9%
T 2
 
11.1%
C 1
 
5.6%
A 1
 
5.6%
K 1
 
5.6%
e 1
 
5.6%
L 1
 
5.6%
o 1
 
5.6%
w 1
 
5.6%
r 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2917
55.7%
ASCII 2324
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
831
35.8%
1 292
 
12.6%
2 204
 
8.8%
, 185
 
8.0%
) 152
 
6.5%
( 152
 
6.5%
3 88
 
3.8%
0 79
 
3.4%
4 65
 
2.8%
5 61
 
2.6%
Other values (17) 215
 
9.3%
Hangul
ValueCountFrequency (%)
동 314
 
10.8%
성 268
 
9.2%
서 164
 
5.6%
울 157
 
5.4%
시 149
 
5.1%
특 146
 
5.0%
별 146
 
5.0%
구 146
 
5.0%
층 133
 
4.6%
수 120
 
4.1%
Other values (140) 1174
40.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct65
Distinct (%)44.5%
Missing66
Missing (%)31.1%
Infinite0
Infinite (%)0.0%
Mean4766.9589
Minimum4700
Maximum4808
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-17T14:56:53.054675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4700
5-th percentile4707.5
Q14745
median4778
Q34792
95-th percentile4803.75
Maximum4808
Range108
Interquartile range (IQR)47

Descriptive statistics

Standard deviation30.726575
Coefficient of variation (CV)0.0064457395
Kurtosis-0.69436495
Mean4766.9589
Median Absolute Deviation (MAD)18.5
Skewness-0.74688179
Sum695976
Variance944.12244
MonotonicityNot monotonic
2024-04-17T14:56:53.190828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4782 7
 
3.3%
4775 7
 
3.3%
4792 6
 
2.8%
4781 6
 
2.8%
4799 6
 
2.8%
4768 6
 
2.8%
4805 5
 
2.4%
4788 5
 
2.4%
4798 4
 
1.9%
4778 4
 
1.9%
Other values (55) 90
42.5%
(Missing) 66
31.1%
ValueCountFrequency (%)
4700 2
0.9%
4702 2
0.9%
4704 2
0.9%
4707 2
0.9%
4709 1
 
0.5%
4710 1
 
0.5%
4713 3
1.4%
4714 2
0.9%
4716 1
 
0.5%
4717 2
0.9%
ValueCountFrequency (%)
4808 1
 
0.5%
4805 5
2.4%
4804 2
 
0.9%
4803 2
 
0.9%
4800 1
 
0.5%
4799 6
2.8%
4798 4
1.9%
4797 3
1.4%
4796 3
1.4%
4795 1
 
0.5%

사업장명
Text

Distinct204
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-04-17T14:56:53.379771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length15
Mean length6.7169811
Min length2

Characters and Unicode

Total characters1424
Distinct characters336
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique196 ?
Unique (%)92.5%

Sample

1st row신진식품공업사
2nd row오정상사(주)
3rd row대한유통
4th row연주산업주식회사
5th row둘리유통
ValueCountFrequency (%)
주식회사 13
 
5.3%
조공넷 2
 
0.8%
중앙할인마트 2
 
0.8%
할인마트 2
 
0.8%
스토어 2
 
0.8%
궁실식품(주 2
 
0.8%
벨로타 2
 
0.8%
주)카파니씨 2
 
0.8%
동보식품 2
 
0.8%
청록바이오 2
 
0.8%
Other values (212) 214
87.3%
2024-04-17T14:56:53.730902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 73
 
5.1%
( 60
 
4.2%
) 60
 
4.2%
이 33
 
2.3%
33
 
2.3%
스 32
 
2.2%
식 31
 
2.2%
사 25
 
1.8%
트 22
 
1.5%
리 21
 
1.5%
Other values (326) 1034
72.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1215
85.3%
Open Punctuation 60
 
4.2%
Close Punctuation 60
 
4.2%
Space Separator 33
 
2.3%
Uppercase Letter 29
 
2.0%
Lowercase Letter 22
 
1.5%
Decimal Number 3
 
0.2%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 73
 
6.0%
이 33
 
2.7%
스 32
 
2.6%
식 31
 
2.6%
사 25
 
2.1%
트 22
 
1.8%
리 21
 
1.7%
아 20
 
1.6%
마 18
 
1.5%
회 17
 
1.4%
Other values (291) 923
76.0%
Uppercase Letter
ValueCountFrequency (%)
T 5
17.2%
O 3
10.3%
E 3
10.3%
M 2
 
6.9%
R 2
 
6.9%
D 2
 
6.9%
A 2
 
6.9%
H 1
 
3.4%
B 1
 
3.4%
L 1
 
3.4%
Other values (7) 7
24.1%
Lowercase Letter
ValueCountFrequency (%)
e 4
18.2%
r 3
13.6%
o 3
13.6%
t 3
13.6%
l 2
9.1%
n 2
9.1%
x 1
 
4.5%
w 1
 
4.5%
a 1
 
4.5%
i 1
 
4.5%
Decimal Number
ValueCountFrequency (%)
0 2
66.7%
1 1
33.3%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
. 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%
Close Punctuation
ValueCountFrequency (%)
) 60
100.0%
Space Separator
ValueCountFrequency (%)
33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1215
85.3%
Common 158
 
11.1%
Latin 51
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 73
 
6.0%
이 33
 
2.7%
스 32
 
2.6%
식 31
 
2.6%
사 25
 
2.1%
트 22
 
1.8%
리 21
 
1.7%
아 20
 
1.6%
마 18
 
1.5%
회 17
 
1.4%
Other values (291) 923
76.0%
Latin
ValueCountFrequency (%)
T 5
 
9.8%
e 4
 
7.8%
O 3
 
5.9%
r 3
 
5.9%
o 3
 
5.9%
E 3
 
5.9%
t 3
 
5.9%
l 2
 
3.9%
M 2
 
3.9%
R 2
 
3.9%
Other values (18) 21
41.2%
Common
ValueCountFrequency (%)
( 60
38.0%
) 60
38.0%
33
20.9%
0 2
 
1.3%
& 1
 
0.6%
. 1
 
0.6%
1 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1215
85.3%
ASCII 209
 
14.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 73
 
6.0%
이 33
 
2.7%
스 32
 
2.6%
식 31
 
2.6%
사 25
 
2.1%
트 22
 
1.8%
리 21
 
1.7%
아 20
 
1.6%
마 18
 
1.5%
회 17
 
1.4%
Other values (291) 923
76.0%
ASCII
ValueCountFrequency (%)
( 60
28.7%
) 60
28.7%
33
15.8%
T 5
 
2.4%
e 4
 
1.9%
O 3
 
1.4%
r 3
 
1.4%
o 3
 
1.4%
E 3
 
1.4%
t 3
 
1.4%
Other values (25) 32
15.3%

최종수정일자
Date

Distinct187
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum1999-06-17 00:00:00
Maximum2024-03-26 17:41:51
2024-04-17T14:56:53.872150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T14:56:54.008401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
I
155 
U
57 

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 155
73.1%
U 57
 
26.9%

Length

2024-04-17T14:56:54.141711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:56:54.227365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 155
73.1%
u 57
 
26.9%

데이터갱신일자
Date

Distinct88
Distinct (%)41.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 00:08:00
2024-04-17T14:56:54.334607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T14:56:54.460118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
식품소분업
212 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품소분업 212
100.0%

Length

2024-04-17T14:56:54.576157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:56:54.663076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품소분업 212
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct180
Distinct (%)86.1%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean203886.64
Minimum200951.21
Maximum205993.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-17T14:56:54.761682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200951.21
5-th percentile201547.94
Q1203008.25
median204236.75
Q3204788.45
95-th percentile205579.69
Maximum205993.65
Range5042.4431
Interquartile range (IQR)1780.2047

Descriptive statistics

Standard deviation1222.883
Coefficient of variation (CV)0.0059978572
Kurtosis-0.66879743
Mean203886.64
Median Absolute Deviation (MAD)812.3576
Skewness-0.52799458
Sum42612308
Variance1495442.7
MonotonicityNot monotonic
2024-04-17T14:56:54.915897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202326.503044305 6
 
2.8%
204614.272744322 6
 
2.8%
203292.151898869 5
 
2.4%
202511.142930696 4
 
1.9%
205039.907145725 2
 
0.9%
205469.945237209 2
 
0.9%
202831.905687785 2
 
0.9%
205167.535545926 2
 
0.9%
204798.346778805 2
 
0.9%
202778.678689705 2
 
0.9%
Other values (170) 176
83.0%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
200951.206580662 1
0.5%
201157.877298502 1
0.5%
201258.52524431 1
0.5%
201275.597124559 1
0.5%
201282.403547495 1
0.5%
201383.023709556 2
0.9%
201398.002315357 1
0.5%
201416.451460659 1
0.5%
201462.251313062 1
0.5%
201538.05612719 1
0.5%
ValueCountFrequency (%)
205993.649689478 1
0.5%
205948.345792507 1
0.5%
205940.779396411 1
0.5%
205755.106428192 1
0.5%
205729.983762483 1
0.5%
205704.460089774 1
0.5%
205701.564885453 1
0.5%
205637.557422274 1
0.5%
205628.634233264 1
0.5%
205614.244466906 2
0.9%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct180
Distinct (%)86.1%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean449784.87
Minimum448065.12
Maximum452119.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-17T14:56:55.055895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448065.12
5-th percentile448404.54
Q1449000.92
median449511.92
Q3450625.58
95-th percentile451614.3
Maximum452119.79
Range4054.6686
Interquartile range (IQR)1624.6642

Descriptive statistics

Standard deviation1056.3048
Coefficient of variation (CV)0.0023484668
Kurtosis-0.81017765
Mean449784.87
Median Absolute Deviation (MAD)738.44303
Skewness0.53273618
Sum94005037
Variance1115779.9
MonotonicityNot monotonic
2024-04-17T14:56:55.204596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450625.58422744 6
 
2.8%
448607.441251647 6
 
2.8%
451267.730901002 5
 
2.4%
450401.303715561 4
 
1.9%
449216.223655036 2
 
0.9%
449396.956794714 2
 
0.9%
450233.87834092 2
 
0.9%
448920.682564138 2
 
0.9%
448669.043360044 2
 
0.9%
451468.504506561 2
 
0.9%
Other values (170) 176
83.0%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
448065.118806483 1
0.5%
448179.869576203 1
0.5%
448236.227470207 1
0.5%
448272.53159281 1
0.5%
448277.387756454 1
0.5%
448317.872400495 1
0.5%
448345.463833392 1
0.5%
448350.919938045 1
0.5%
448391.807550566 1
0.5%
448399.948660115 1
0.5%
ValueCountFrequency (%)
452119.787390161 1
0.5%
452076.36180744 1
0.5%
452041.324388638 1
0.5%
452017.539235203 1
0.5%
451988.812476724 1
0.5%
451955.265898176 1
0.5%
451897.581865192 1
0.5%
451809.190992068 1
0.5%
451698.893108113 1
0.5%
451697.093865692 1
0.5%

위생업태명
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
식품소분업
170 
<NA>
42 

Length

Max length5
Median length5
Mean length4.8018868
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품소분업 170
80.2%
<NA> 42
 
19.8%

Length

2024-04-17T14:56:55.340169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:56:55.437124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품소분업 170
80.2%
na 42
 
19.8%

남성종사자수
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
175 
0
34 
5
 
1
2
 
1
3
 
1

Length

Max length4
Median length4
Mean length3.4764151
Min length1

Unique

Unique3 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 175
82.5%
0 34
 
16.0%
5 1
 
0.5%
2 1
 
0.5%
3 1
 
0.5%

Length

2024-04-17T14:56:55.542053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:56:55.647048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 175
82.5%
0 34
 
16.0%
5 1
 
0.5%
2 1
 
0.5%
3 1
 
0.5%

여성종사자수
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
175 
0
34 
10
 
1
2
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.4811321
Min length1

Unique

Unique3 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 175
82.5%
0 34
 
16.0%
10 1
 
0.5%
2 1
 
0.5%
1 1
 
0.5%

Length

2024-04-17T14:56:55.757535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:56:55.872047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 175
82.5%
0 34
 
16.0%
10 1
 
0.5%
2 1
 
0.5%
1 1
 
0.5%

영업장주변구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
185 
주택가주변
 
15
기타
 
11
아파트지역
 
1

Length

Max length5
Median length4
Mean length3.9716981
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 185
87.3%
주택가주변 15
 
7.1%
기타 11
 
5.2%
아파트지역 1
 
0.5%

Length

2024-04-17T14:56:55.982973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:56:56.080994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 185
87.3%
주택가주변 15
 
7.1%
기타 11
 
5.2%
아파트지역 1
 
0.5%

등급구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
185 
자율
 
14
기타
 
12
갑
 
1

Length

Max length4
Median length4
Mean length3.740566
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 185
87.3%
자율 14
 
6.6%
기타 12
 
5.7%
갑 1
 
0.5%

Length

2024-04-17T14:56:56.208030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:56:56.313980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 185
87.3%
자율 14
 
6.6%
기타 12
 
5.7%
갑 1
 
0.5%

급수시설구분명
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
171 
상수도전용
41 

Length

Max length5
Median length4
Mean length4.1933962
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 171
80.7%
상수도전용 41
 
19.3%

Length

2024-04-17T14:56:56.437629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:56:56.535090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 171
80.7%
상수도전용 41
 
19.3%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
194 
0
 
18

Length

Max length4
Median length4
Mean length3.745283
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> 194
91.5%
0 18
 
8.5%

Length

2024-04-17T14:56:56.634818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:56:56.727108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 194
91.5%
0 18
 
8.5%

본사종업원수
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
137 
0
75 

Length

Max length4
Median length4
Mean length2.9386792
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 137
64.6%
0 75
35.4%

Length

2024-04-17T14:56:56.827530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:56:56.928622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 137
64.6%
0 75
35.4%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
137 
0
75 

Length

Max length4
Median length4
Mean length2.9386792
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 137
64.6%
0 75
35.4%

Length

2024-04-17T14:56:57.038223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:56:57.142068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 137
64.6%
0 75
35.4%

공장판매직종업원수
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
137 
0
75 

Length

Max length4
Median length4
Mean length2.9386792
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 137
64.6%
0 75
35.4%

Length

2024-04-17T14:56:57.256278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:56:57.363777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 137
64.6%
0 75
35.4%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
137 
0
75 

Length

Max length4
Median length4
Mean length2.9386792
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 137
64.6%
0 75
35.4%

Length

2024-04-17T14:56:57.474911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:56:57.574194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 137
64.6%
0 75
35.4%

건물소유구분명
Categorical

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
115 
자가
76 
임대
21 

Length

Max length4
Median length4
Mean length3.0849057
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> 115
54.2%
자가 76
35.8%
임대 21
 
9.9%

Length

2024-04-17T14:56:57.679624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:56:57.784540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 115
54.2%
자가 76
35.8%
임대 21
 
9.9%

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
193 
0
 
19

Length

Max length4
Median length4
Mean length3.7311321
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> 193
91.0%
0 19
 
9.0%

Length

2024-04-17T14:56:57.888599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:56:57.988604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 193
91.0%
0 19
 
9.0%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
193 
0
 
19

Length

Max length4
Median length4
Mean length3.7311321
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> 193
91.0%
0 19
 
9.0%

Length

2024-04-17T14:56:58.110081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:56:58.559094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 193
91.0%
0 19
 
9.0%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.6%
Missing42
Missing (%)19.8%
Memory size556.0 B
False
170 
(Missing)
42 
ValueCountFrequency (%)
False 170
80.2%
(Missing) 42
 
19.8%
2024-04-17T14:56:58.637602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
0.0
167 
<NA>
42 
5.3
 
1
34.0
 
1
8.75
 
1

Length

Max length4
Median length3
Mean length3.2075472
Min length3

Unique

Unique3 ?
Unique (%)1.4%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 167
78.8%
<NA> 42
 
19.8%
5.3 1
 
0.5%
34.0 1
 
0.5%
8.75 1
 
0.5%

Length

2024-04-17T14:56:58.732172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:56:58.839446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 167
78.8%
na 42
 
19.8%
5.3 1
 
0.5%
34.0 1
 
0.5%
8.75 1
 
0.5%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing212
Missing (%)100.0%
Memory size2.0 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing212
Missing (%)100.0%
Memory size2.0 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing212
Missing (%)100.0%
Memory size2.0 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030300003030000-109-1979-0005619790426<NA>3폐업2폐업20001116<NA><NA><NA>02239.03133826서울특별시 성동구 성수동2가 261<NA><NA>신진식품공업사2001-11-28 00:00:00I2018-08-31 23:59:59.0식품소분업205118.769912448435.996212식품소분업00기타기타상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
130300003030000-109-1989-0005519810501<NA>1영업/정상1영업<NA><NA><NA><NA>0222937883106.38133854서울특별시 성동구 하왕십리동 291-10서울특별시 성동구 청계천로 452 (하왕십리동)4702오정상사(주)2015-10-12 10:21:33I2018-08-31 23:59:59.0식품소분업202326.598296451988.812477식품소분업<NA><NA>기타기타상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
230300003030000-109-1993-0005719930901<NA>3폐업2폐업19990326<NA><NA><NA>020.0133836서울특별시 성동구 송정동 66-197<NA><NA>대한유통2001-09-25 00:00:00I2018-08-31 23:59:59.0식품소분업205755.106428449576.253567식품소분업00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
330300003030000-109-1994-0004719940905<NA>3폐업2폐업19960523<NA><NA><NA>02 469415423.7133833서울특별시 성동구 성수동2가 284-66<NA><NA>연주산업주식회사2001-09-25 00:00:00I2018-08-31 23:59:59.0식품소분업204600.401216449342.641732식품소분업<NA><NA>기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
430300003030000-109-1995-0005819950705<NA>3폐업2폐업19990603<NA><NA><NA>0244.28133820서울특별시 성동구 성수동1가 630-3<NA><NA>둘리유통2001-09-25 00:00:00I2018-08-31 23:59:59.0식품소분업203813.946061448546.136197식품소분업00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
530300003030000-109-1996-0005919960701<NA>3폐업2폐업20001114<NA><NA><NA>02112.7133811서울특별시 성동구 마장동 388-41<NA><NA>경일종학식품(주)2001-11-28 00:00:00I2018-08-31 23:59:59.0식품소분업203688.871518451133.984191식품소분업00기타자율상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
630300003030000-109-1996-0006019960918<NA>3폐업2폐업20030416<NA><NA><NA>02 4626925104.0133827서울특별시 성동구 성수동2가 320-5<NA><NA>(주)시루식품2003-04-08 00:00:00I2018-08-31 23:59:59.0식품소분업204861.693118448820.614411식품소분업<NA><NA>기타자율상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
730300003030000-109-1996-0007019960628<NA>3폐업2폐업20001107<NA><NA><NA>0236.4133826서울특별시 성동구 성수동2가 269-75<NA><NA>동보식품2001-11-28 00:00:00I2018-08-31 23:59:59.0식품소분업205375.895643448583.788878식품소분업00기타자율상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
830300003030000-109-1996-0056719961023<NA>3폐업2폐업19990617<NA><NA><NA>0258.86133840서울특별시 성동구 옥수동 364-3<NA><NA>금호민속과자1999-06-17 00:00:00I2018-08-31 23:59:59.0식품소분업201398.002315448917.550918식품소분업00주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
930300003030000-109-1996-0056819960917<NA>3폐업2폐업20030326<NA><NA><NA>022212227758.8133848서울특별시 성동구 용답동 60-4<NA><NA>궁실식품(주)2001-11-28 00:00:00I2018-08-31 23:59:59.0식품소분업204613.296899451421.227892식품소분업<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
20230300003030000-109-2023-000062023-04-07<NA>1영업/정상1영업<NA><NA><NA><NA>0708827599442.9133-835서울특별시 성동구 성수동2가 316-59 삼일금속영업부서울특별시 성동구 연무장길 33, 지1층 103호 (성수동2가)4782먼치스앤구디스2023-04-07 14:40:23I2022-12-04 00:09:00.0식품소분업204641.886653448992.726704<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20330300003030000-109-2023-000072023-04-27<NA>1영업/정상1영업<NA><NA><NA><NA>02342519889.9133-832서울특별시 성동구 성수동2가 278-41서울특별시 성동구 성수이로26길 29, 2층 (성수동2가)4796벨로타 벨로타2023-04-27 11:18:32I2022-12-03 22:09:00.0식품소분업205299.480547449262.422502<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20430300003030000-109-2023-000082023-05-22<NA>1영업/정상1영업<NA><NA><NA><NA>0246470783.3133-825서울특별시 성동구 성수동1가 685-307서울특별시 성동구 서울숲길 43, 1층 (성수동1가)4766메쉬커피2023-05-22 15:55:24I2022-12-04 22:04:00.0식품소분업203685.046018449540.951711<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20530300003030000-109-2023-000092023-06-22<NA>1영업/정상1영업<NA><NA><NA><NA><NA>15.8133-803서울특별시 성동구 금호동2가 529서울특별시 성동구 금호로 141-2, 1층 (금호동2가)4728설내옥2023-06-22 14:43:24I2022-12-05 22:04:00.0식품소분업201769.801645450167.073289<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20630300003030000-109-2023-000102023-07-03<NA>1영업/정상1영업<NA><NA><NA><NA><NA>9.83133-820서울특별시 성동구 성수동1가 197-2서울특별시 성동구 성덕정길 40-1, 1층 (성수동1가)4774고마운선물가게 스토어2023-07-03 12:22:02I2022-12-07 00:05:00.0식품소분업204178.887703448488.088528<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20730300003030000-109-2023-000112023-08-18<NA>1영업/정상1영업<NA><NA><NA><NA><NA>19.25133-863서울특별시 성동구 행당동 117-29서울특별시 성동구 고산자로8가길 12, 1층 (행당동)4745베어프루츠 x 우리열매유통2023-08-18 09:38:30I2022-12-07 22:00:00.0식품소분업203082.950128450584.752207<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20830300003030000-109-2023-000122023-09-22<NA>1영업/정상1영업<NA><NA><NA><NA>02 466 900010.0133-827서울특별시 성동구 성수동2가 322-32 대림창고서울특별시 성동구 성수이로 78, 대림창고 1층 (성수동2가)4784(주)성수동대림창고갤러리2023-09-22 10:35:42I2022-12-08 22:04:00.0식품소분업204920.408144448843.891577<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20930300003030000-109-2023-000132023-12-05<NA>1영업/정상1영업<NA><NA><NA><NA><NA>50.0133-823서울특별시 성동구 성수동1가 656-518 송원빌딩서울특별시 성동구 왕십리로16가길 4, 송원빌딩 3층 301호 (성수동1가)4788달조각공방2023-12-05 14:56:07I2022-11-02 00:07:00.0식품소분업203882.015076449764.46461<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
21030300003030000-109-2023-000142023-12-26<NA>1영업/정상1영업<NA><NA><NA><NA>02 22991077165.0133-872서울특별시 성동구 행당동 298-9서울특별시 성동구 왕십리로21나길 5, 1층 (행당동)4714형부네 할인마트2023-12-26 14:32:36I2022-11-01 22:08:00.0식품소분업202787.326256450889.333283<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
21130300003030000-109-2024-000012024-03-26<NA>1영업/정상1영업<NA><NA><NA><NA>070 4254192044.09133-834서울특별시 성동구 성수동2가 289-257서울특별시 성동구 성수일로8길 55, 2층 (성수동2가)4794플레이팅 코퍼레이션2024-03-26 17:41:51I2023-12-02 22:08:00.0식품소분업204939.155836449221.773517<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>