Overview

Dataset statistics

Number of variables44
Number of observations680
Missing cells6977
Missing cells (%)23.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory250.5 KiB
Average record size in memory377.2 B

Variable types

Categorical19
Text6
DateTime4
Unsupported8
Numeric6
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
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-18548/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
위생업태명 is highly imbalanced (59.5%)Imbalance
총인원 is highly imbalanced (92.7%)Imbalance
본사종업원수 is highly imbalanced (92.7%)Imbalance
공장사무직종업원수 is highly imbalanced (92.7%)Imbalance
공장판매직종업원수 is highly imbalanced (92.7%)Imbalance
공장생산직종업원수 is highly imbalanced (92.7%)Imbalance
보증액 is highly imbalanced (92.7%)Imbalance
월세액 is highly imbalanced (92.7%)Imbalance
다중이용업소여부 is highly imbalanced (98.3%)Imbalance
인허가취소일자 has 680 (100.0%) missing valuesMissing
폐업일자 has 76 (11.2%) missing valuesMissing
휴업시작일자 has 680 (100.0%) missing valuesMissing
휴업종료일자 has 680 (100.0%) missing valuesMissing
재개업일자 has 680 (100.0%) missing valuesMissing
전화번호 has 27 (4.0%) missing valuesMissing
도로명주소 has 551 (81.0%) missing valuesMissing
도로명우편번호 has 556 (81.8%) missing valuesMissing
좌표정보(X) has 35 (5.1%) missing valuesMissing
좌표정보(Y) has 35 (5.1%) missing valuesMissing
남성종사자수 has 145 (21.3%) missing valuesMissing
건물소유구분명 has 680 (100.0%) missing valuesMissing
다중이용업소여부 has 55 (8.1%) missing valuesMissing
시설총규모 has 55 (8.1%) missing valuesMissing
전통업소지정번호 has 680 (100.0%) missing valuesMissing
전통업소주된음식 has 680 (100.0%) missing valuesMissing
홈페이지 has 680 (100.0%) missing valuesMissing
남성종사자수 is highly skewed (γ1 = 22.00433526)Skewed
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
남성종사자수 has 427 (62.8%) zerosZeros

Reproduction

Analysis started2024-05-11 06:32:15.862662
Analysis finished2024-05-11 06:32:16.953449
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
3210000
680 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3210000
2nd row3210000
3rd row3210000
4th row3210000
5th row3210000

Common Values

ValueCountFrequency (%)
3210000 680
100.0%

Length

2024-05-11T15:32:17.051952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:32:17.195865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 680
100.0%

관리번호
Text

UNIQUE 

Distinct680
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
2024-05-11T15:32:17.438614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters14960
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

Unique680 ?
Unique (%)100.0%

Sample

1st row3210000-103-1993-06128
2nd row3210000-103-1993-06129
3rd row3210000-103-1993-06130
4th row3210000-103-1993-06131
5th row3210000-103-1993-06133
ValueCountFrequency (%)
3210000-103-1993-06128 1
 
0.1%
3210000-103-1996-02350 1
 
0.1%
3210000-103-1996-02343 1
 
0.1%
3210000-103-1996-02362 1
 
0.1%
3210000-103-1996-02344 1
 
0.1%
3210000-103-1996-02345 1
 
0.1%
3210000-103-1996-02346 1
 
0.1%
3210000-103-1996-02347 1
 
0.1%
3210000-103-1996-02348 1
 
0.1%
3210000-103-1996-02349 1
 
0.1%
Other values (670) 670
98.5%
2024-05-11T15:32:17.818353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4621
30.9%
1 2283
15.3%
- 2040
13.6%
3 1824
 
12.2%
2 1388
 
9.3%
9 1329
 
8.9%
6 488
 
3.3%
4 407
 
2.7%
5 211
 
1.4%
7 194
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12920
86.4%
Dash Punctuation 2040
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4621
35.8%
1 2283
17.7%
3 1824
 
14.1%
2 1388
 
10.7%
9 1329
 
10.3%
6 488
 
3.8%
4 407
 
3.2%
5 211
 
1.6%
7 194
 
1.5%
8 175
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 2040
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14960
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4621
30.9%
1 2283
15.3%
- 2040
13.6%
3 1824
 
12.2%
2 1388
 
9.3%
9 1329
 
8.9%
6 488
 
3.3%
4 407
 
2.7%
5 211
 
1.4%
7 194
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14960
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4621
30.9%
1 2283
15.3%
- 2040
13.6%
3 1824
 
12.2%
2 1388
 
9.3%
9 1329
 
8.9%
6 488
 
3.3%
4 407
 
2.7%
5 211
 
1.4%
7 194
 
1.3%

인허가일자
Date

Distinct487
Distinct (%)71.6%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
Minimum1993-09-03 00:00:00
Maximum2022-08-09 00:00:00
2024-05-11T15:32:18.004169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:32:18.164240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing680
Missing (%)100.0%
Memory size6.1 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
3
604 
1
76 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 604
88.8%
1 76
 
11.2%

Length

2024-05-11T15:32:18.321340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:32:18.423665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 604
88.8%
1 76
 
11.2%

영업상태명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
폐업
604 
영업/정상
76 

Length

Max length5
Median length2
Mean length2.3352941
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 604
88.8%
영업/정상 76
 
11.2%

Length

2024-05-11T15:32:18.541916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:32:18.656638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 604
88.8%
영업/정상 76
 
11.2%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
2
604 
1
76 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 604
88.8%
1 76
 
11.2%

Length

2024-05-11T15:32:18.774163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:32:18.880308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 604
88.8%
1 76
 
11.2%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
폐업
604 
영업
76 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 604
88.8%
영업 76
 
11.2%

Length

2024-05-11T15:32:18.997261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:32:19.119472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 604
88.8%
영업 76
 
11.2%

폐업일자
Date

MISSING 

Distinct505
Distinct (%)83.6%
Missing76
Missing (%)11.2%
Memory size5.4 KiB
Minimum1993-11-17 00:00:00
Maximum2024-04-09 00:00:00
2024-05-11T15:32:19.262462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:32:19.390134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing680
Missing (%)100.0%
Memory size6.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing680
Missing (%)100.0%
Memory size6.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing680
Missing (%)100.0%
Memory size6.1 KiB

전화번호
Text

MISSING 

Distinct569
Distinct (%)87.1%
Missing27
Missing (%)4.0%
Memory size5.4 KiB
2024-05-11T15:32:19.688992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.6983155
Min length2

Characters and Unicode

Total characters6333
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

Unique538 ?
Unique (%)82.4%

Sample

1st row0205382026
2nd row02 5831995
3rd row0205379370
4th row0205965820
5th row02 5834198
ValueCountFrequency (%)
02 383
36.9%
0200000000 28
 
2.7%
00000 6
 
0.6%
5573425 3
 
0.3%
5546718 3
 
0.3%
0 3
 
0.3%
525 3
 
0.3%
522 3
 
0.3%
5884422 3
 
0.3%
5780827 2
 
0.2%
Other values (574) 600
57.9%
2024-05-11T15:32:20.153381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1298
20.5%
2 1041
16.4%
5 838
13.2%
7 484
 
7.6%
4 428
 
6.8%
422
 
6.7%
8 416
 
6.6%
3 394
 
6.2%
1 360
 
5.7%
9 330
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5911
93.3%
Space Separator 422
 
6.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1298
22.0%
2 1041
17.6%
5 838
14.2%
7 484
 
8.2%
4 428
 
7.2%
8 416
 
7.0%
3 394
 
6.7%
1 360
 
6.1%
9 330
 
5.6%
6 322
 
5.4%
Space Separator
ValueCountFrequency (%)
422
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6333
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1298
20.5%
2 1041
16.4%
5 838
13.2%
7 484
 
7.6%
4 428
 
6.8%
422
 
6.7%
8 416
 
6.6%
3 394
 
6.2%
1 360
 
5.7%
9 330
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6333
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1298
20.5%
2 1041
16.4%
5 838
13.2%
7 484
 
7.6%
4 428
 
6.8%
422
 
6.7%
8 416
 
6.6%
3 394
 
6.2%
1 360
 
5.7%
9 330
 
5.2%

소재지면적
Real number (ℝ)

Distinct638
Distinct (%)94.1%
Missing2
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean110.20577
Minimum0
Maximum681.99
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2024-05-11T15:32:20.354266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile43.3465
Q184.97
median113.965
Q3136.6725
95-th percentile150.659
Maximum681.99
Range681.99
Interquartile range (IQR)51.7025

Descriptive statistics

Standard deviation45.072731
Coefficient of variation (CV)0.40898704
Kurtosis40.355371
Mean110.20577
Median Absolute Deviation (MAD)24.58
Skewness3.5098204
Sum74719.51
Variance2031.551
MonotonicityNot monotonic
2024-05-11T15:32:20.521888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
140.0 3
 
0.4%
148.0 3
 
0.4%
73.84 3
 
0.4%
147.77 2
 
0.3%
67.69 2
 
0.3%
68.73 2
 
0.3%
138.58 2
 
0.3%
131.73 2
 
0.3%
111.81 2
 
0.3%
50.96 2
 
0.3%
Other values (628) 655
96.3%
ValueCountFrequency (%)
0.0 1
0.1%
16.1 1
0.1%
16.2 1
0.1%
18.2 2
0.3%
18.9 1
0.1%
19.61 1
0.1%
20.4 1
0.1%
20.8 1
0.1%
22.75 1
0.1%
23.5 1
0.1%
ValueCountFrequency (%)
681.99 1
0.1%
340.55 1
0.1%
329.36 1
0.1%
326.0 1
0.1%
306.03 1
0.1%
276.09 1
0.1%
255.12 1
0.1%
237.45 1
0.1%
224.9 1
0.1%
224.6 1
0.1%

소재지우편번호
Text

Distinct78
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
2024-05-11T15:32:20.753625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0485294
Min length6

Characters and Unicode

Total characters4113
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

Unique21 ?
Unique (%)3.1%

Sample

1st row137855
2nd row137872
3rd row137829
4th row137828
5th row137875
ValueCountFrequency (%)
137895 45
 
6.6%
137828 44
 
6.5%
137829 42
 
6.2%
137876 42
 
6.2%
137855 41
 
6.0%
137856 41
 
6.0%
137903 36
 
5.3%
137858 31
 
4.6%
137902 31
 
4.6%
137875 30
 
4.4%
Other values (68) 297
43.7%
2024-05-11T15:32:21.118183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 836
20.3%
3 773
18.8%
8 746
18.1%
1 742
18.0%
5 266
 
6.5%
9 202
 
4.9%
0 166
 
4.0%
2 159
 
3.9%
6 135
 
3.3%
4 55
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4080
99.2%
Dash Punctuation 33
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 836
20.5%
3 773
18.9%
8 746
18.3%
1 742
18.2%
5 266
 
6.5%
9 202
 
5.0%
0 166
 
4.1%
2 159
 
3.9%
6 135
 
3.3%
4 55
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4113
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 836
20.3%
3 773
18.8%
8 746
18.1%
1 742
18.0%
5 266
 
6.5%
9 202
 
4.9%
0 166
 
4.0%
2 159
 
3.9%
6 135
 
3.3%
4 55
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4113
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 836
20.3%
3 773
18.8%
8 746
18.1%
1 742
18.0%
5 266
 
6.5%
9 202
 
4.9%
0 166
 
4.0%
2 159
 
3.9%
6 135
 
3.3%
4 55
 
1.3%

지번주소
Text

Distinct541
Distinct (%)79.6%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
2024-05-11T15:32:21.364457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length38
Mean length23.761765
Min length18

Characters and Unicode

Total characters16158
Distinct characters81
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique441 ?
Unique (%)64.9%

Sample

1st row서울특별시 서초구 서초동 1303-16번지
2nd row서울특별시 서초구 서초동 1540-8번지
3rd row서울특별시 서초구 방배동 768-3번지
4th row서울특별시 서초구 방배동 751-4번지
5th row서울특별시 서초구 서초동 1585-14번지 지하1층
ValueCountFrequency (%)
서울특별시 680
23.4%
서초구 680
23.4%
서초동 317
10.9%
방배동 151
 
5.2%
양재동 94
 
3.2%
잠원동 84
 
2.9%
지하1층 75
 
2.6%
반포동 34
 
1.2%
지하 22
 
0.8%
1317-31번지 21
 
0.7%
Other values (544) 754
25.9%
2024-05-11T15:32:21.857572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2849
17.6%
서 1677
 
10.4%
초 997
 
6.2%
1 921
 
5.7%
지 720
 
4.5%
동 698
 
4.3%
특 680
 
4.2%
별 680
 
4.2%
시 680
 
4.2%
구 680
 
4.2%
Other values (71) 5576
34.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9136
56.5%
Decimal Number 3393
 
21.0%
Space Separator 2849
 
17.6%
Dash Punctuation 679
 
4.2%
Open Punctuation 44
 
0.3%
Close Punctuation 44
 
0.3%
Other Punctuation 7
 
< 0.1%
Uppercase Letter 4
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1677
18.4%
초 997
10.9%
지 720
7.9%
동 698
7.6%
특 680
7.4%
별 680
7.4%
시 680
7.4%
구 680
7.4%
울 680
7.4%
번 596
 
6.5%
Other values (53) 1048
11.5%
Decimal Number
ValueCountFrequency (%)
1 921
27.1%
3 423
12.5%
7 377
11.1%
2 343
 
10.1%
5 282
 
8.3%
6 249
 
7.3%
0 219
 
6.5%
4 204
 
6.0%
8 198
 
5.8%
9 177
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
B 3
75.0%
A 1
 
25.0%
Space Separator
ValueCountFrequency (%)
2849
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 679
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9136
56.5%
Common 7018
43.4%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1677
18.4%
초 997
10.9%
지 720
7.9%
동 698
7.6%
특 680
7.4%
별 680
7.4%
시 680
7.4%
구 680
7.4%
울 680
7.4%
번 596
 
6.5%
Other values (53) 1048
11.5%
Common
ValueCountFrequency (%)
2849
40.6%
1 921
 
13.1%
- 679
 
9.7%
3 423
 
6.0%
7 377
 
5.4%
2 343
 
4.9%
5 282
 
4.0%
6 249
 
3.5%
0 219
 
3.1%
4 204
 
2.9%
Other values (6) 472
 
6.7%
Latin
ValueCountFrequency (%)
B 3
75.0%
A 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9136
56.5%
ASCII 7022
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2849
40.6%
1 921
 
13.1%
- 679
 
9.7%
3 423
 
6.0%
7 377
 
5.4%
2 343
 
4.9%
5 282
 
4.0%
6 249
 
3.5%
0 219
 
3.1%
4 204
 
2.9%
Other values (8) 476
 
6.8%
Hangul
ValueCountFrequency (%)
서 1677
18.4%
초 997
10.9%
지 720
7.9%
동 698
7.6%
특 680
7.4%
별 680
7.4%
시 680
7.4%
구 680
7.4%
울 680
7.4%
번 596
 
6.5%
Other values (53) 1048
11.5%

도로명주소
Text

MISSING 

Distinct127
Distinct (%)98.4%
Missing551
Missing (%)81.0%
Memory size5.4 KiB
2024-05-11T15:32:22.245340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length36
Mean length29.162791
Min length23

Characters and Unicode

Total characters3762
Distinct characters82
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

Unique125 ?
Unique (%)96.9%

Sample

1st row서울특별시 서초구 반포대로 107 (서초동)
2nd row서울특별시 서초구 반포대로12길 14, 1층 (서초동, 지하)
3rd row서울특별시 서초구 논현로11길 3 (양재동)
4th row서울특별시 서초구 서초대로50길 93 (서초동,지하1층)
5th row서울특별시 서초구 효령로 318, 지하1층 (서초동)
ValueCountFrequency (%)
서울특별시 129
18.2%
서초구 129
18.2%
서초동 55
 
7.8%
지하1층 38
 
5.4%
방배동 18
 
2.5%
잠원동 18
 
2.5%
방배중앙로 12
 
1.7%
양재동 10
 
1.4%
효령로 7
 
1.0%
반포대로30길 6
 
0.8%
Other values (196) 287
40.5%
2024-05-11T15:32:22.798606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
580
 
15.4%
서 355
 
9.4%
초 226
 
6.0%
1 158
 
4.2%
( 141
 
3.7%
) 141
 
3.7%
동 132
 
3.5%
특 129
 
3.4%
별 129
 
3.4%
시 129
 
3.4%
Other values (72) 1642
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2255
59.9%
Space Separator 580
 
15.4%
Decimal Number 553
 
14.7%
Open Punctuation 141
 
3.7%
Close Punctuation 141
 
3.7%
Other Punctuation 71
 
1.9%
Dash Punctuation 20
 
0.5%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 355
15.7%
초 226
 
10.0%
동 132
 
5.9%
특 129
 
5.7%
별 129
 
5.7%
시 129
 
5.7%
구 129
 
5.7%
울 129
 
5.7%
로 127
 
5.6%
길 82
 
3.6%
Other values (56) 688
30.5%
Decimal Number
ValueCountFrequency (%)
1 158
28.6%
5 66
11.9%
3 65
11.8%
2 55
 
9.9%
0 43
 
7.8%
7 38
 
6.9%
4 38
 
6.9%
6 31
 
5.6%
8 30
 
5.4%
9 29
 
5.2%
Space Separator
ValueCountFrequency (%)
580
100.0%
Open Punctuation
ValueCountFrequency (%)
( 141
100.0%
Close Punctuation
ValueCountFrequency (%)
) 141
100.0%
Other Punctuation
ValueCountFrequency (%)
, 71
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2255
59.9%
Common 1506
40.0%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 355
15.7%
초 226
 
10.0%
동 132
 
5.9%
특 129
 
5.7%
별 129
 
5.7%
시 129
 
5.7%
구 129
 
5.7%
울 129
 
5.7%
로 127
 
5.6%
길 82
 
3.6%
Other values (56) 688
30.5%
Common
ValueCountFrequency (%)
580
38.5%
1 158
 
10.5%
( 141
 
9.4%
) 141
 
9.4%
, 71
 
4.7%
5 66
 
4.4%
3 65
 
4.3%
2 55
 
3.7%
0 43
 
2.9%
7 38
 
2.5%
Other values (5) 148
 
9.8%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2255
59.9%
ASCII 1507
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
580
38.5%
1 158
 
10.5%
( 141
 
9.4%
) 141
 
9.4%
, 71
 
4.7%
5 66
 
4.4%
3 65
 
4.3%
2 55
 
3.6%
0 43
 
2.9%
7 38
 
2.5%
Other values (6) 149
 
9.9%
Hangul
ValueCountFrequency (%)
서 355
15.7%
초 226
 
10.0%
동 132
 
5.9%
특 129
 
5.7%
별 129
 
5.7%
시 129
 
5.7%
구 129
 
5.7%
울 129
 
5.7%
로 127
 
5.6%
길 82
 
3.6%
Other values (56) 688
30.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct56
Distinct (%)45.2%
Missing556
Missing (%)81.8%
Infinite0
Infinite (%)0.0%
Mean6629.9032
Minimum6524
Maximum6782
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2024-05-11T15:32:22.984300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6524
5-th percentile6524.15
Q16556
median6633
Q36654
95-th percentile6776
Maximum6782
Range258
Interquartile range (IQR)98

Descriptive statistics

Standard deviation74.125078
Coefficient of variation (CV)0.011180416
Kurtosis-0.66960464
Mean6629.9032
Median Absolute Deviation (MAD)60
Skewness0.2838599
Sum822108
Variance5494.5271
MonotonicityNot monotonic
2024-05-11T15:32:23.155003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6776 8
 
1.2%
6524 7
 
1.0%
6633 7
 
1.0%
6650 5
 
0.7%
6626 5
 
0.7%
6531 4
 
0.6%
6654 4
 
0.6%
6693 4
 
0.6%
6645 4
 
0.6%
6628 3
 
0.4%
Other values (46) 73
 
10.7%
(Missing) 556
81.8%
ValueCountFrequency (%)
6524 7
1.0%
6525 3
0.4%
6526 2
 
0.3%
6527 1
 
0.1%
6530 1
 
0.1%
6531 4
0.6%
6536 2
 
0.3%
6541 1
 
0.1%
6542 2
 
0.3%
6552 2
 
0.3%
ValueCountFrequency (%)
6782 1
 
0.1%
6776 8
1.2%
6743 2
 
0.3%
6737 1
 
0.1%
6736 3
 
0.4%
6735 3
 
0.4%
6721 1
 
0.1%
6716 2
 
0.3%
6693 4
0.6%
6692 1
 
0.1%

사업장명
Text

Distinct580
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
2024-05-11T15:32:23.633932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length3.5647059
Min length1

Characters and Unicode

Total characters2424
Distinct characters449
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

Unique504 ?
Unique (%)74.1%

Sample

1st row제일
2nd row갈마
3rd row꿈
4th row푸른하늘
5th row해피
ValueCountFrequency (%)
스칼렛 5
 
0.7%
스타 5
 
0.7%
보스 5
 
0.7%
나사 5
 
0.7%
단란주점 5
 
0.7%
목화 4
 
0.6%
멜로디 4
 
0.6%
블루 3
 
0.4%
카사노바 3
 
0.4%
센스 3
 
0.4%
Other values (584) 667
94.1%
2024-05-11T15:32:24.282622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 99
 
4.1%
이 87
 
3.6%
리 55
 
2.3%
라 40
 
1.7%
주 39
 
1.6%
아 34
 
1.4%
로 33
 
1.4%
점 31
 
1.3%
( 30
 
1.2%
) 30
 
1.2%
Other values (439) 1946
80.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2151
88.7%
Uppercase Letter 74
 
3.1%
Lowercase Letter 52
 
2.1%
Decimal Number 40
 
1.7%
Open Punctuation 30
 
1.2%
Close Punctuation 30
 
1.2%
Space Separator 29
 
1.2%
Other Punctuation 14
 
0.6%
Dash Punctuation 2
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 99
 
4.6%
이 87
 
4.0%
리 55
 
2.6%
라 40
 
1.9%
주 39
 
1.8%
아 34
 
1.6%
로 33
 
1.5%
점 31
 
1.4%
노 29
 
1.3%
카 29
 
1.3%
Other values (384) 1675
77.9%
Uppercase Letter
ValueCountFrequency (%)
M 9
12.2%
I 7
 
9.5%
C 6
 
8.1%
E 5
 
6.8%
U 5
 
6.8%
L 5
 
6.8%
S 5
 
6.8%
K 4
 
5.4%
Q 4
 
5.4%
A 4
 
5.4%
Other values (10) 20
27.0%
Lowercase Letter
ValueCountFrequency (%)
e 12
23.1%
i 6
11.5%
n 6
11.5%
o 5
9.6%
l 4
 
7.7%
u 4
 
7.7%
m 2
 
3.8%
d 2
 
3.8%
k 1
 
1.9%
b 1
 
1.9%
Other values (9) 9
17.3%
Decimal Number
ValueCountFrequency (%)
0 14
35.0%
2 8
20.0%
7 6
15.0%
8 6
15.0%
1 4
 
10.0%
5 1
 
2.5%
4 1
 
2.5%
Other Punctuation
ValueCountFrequency (%)
. 11
78.6%
& 2
 
14.3%
! 1
 
7.1%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Space Separator
ValueCountFrequency (%)
29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2150
88.7%
Common 146
 
6.0%
Latin 127
 
5.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 99
 
4.6%
이 87
 
4.0%
리 55
 
2.6%
라 40
 
1.9%
주 39
 
1.8%
아 34
 
1.6%
로 33
 
1.5%
점 31
 
1.4%
노 29
 
1.3%
카 29
 
1.3%
Other values (383) 1674
77.9%
Latin
ValueCountFrequency (%)
e 12
 
9.4%
M 9
 
7.1%
I 7
 
5.5%
i 6
 
4.7%
n 6
 
4.7%
C 6
 
4.7%
E 5
 
3.9%
U 5
 
3.9%
L 5
 
3.9%
S 5
 
3.9%
Other values (30) 61
48.0%
Common
ValueCountFrequency (%)
( 30
20.5%
) 30
20.5%
29
19.9%
0 14
9.6%
. 11
 
7.5%
2 8
 
5.5%
7 6
 
4.1%
8 6
 
4.1%
1 4
 
2.7%
& 2
 
1.4%
Other values (5) 6
 
4.1%
Han
ValueCountFrequency (%)
美 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2150
88.7%
ASCII 272
 
11.2%
Number Forms 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 99
 
4.6%
이 87
 
4.0%
리 55
 
2.6%
라 40
 
1.9%
주 39
 
1.8%
아 34
 
1.6%
로 33
 
1.5%
점 31
 
1.4%
노 29
 
1.3%
카 29
 
1.3%
Other values (383) 1674
77.9%
ASCII
ValueCountFrequency (%)
( 30
 
11.0%
) 30
 
11.0%
29
 
10.7%
0 14
 
5.1%
e 12
 
4.4%
. 11
 
4.0%
M 9
 
3.3%
2 8
 
2.9%
I 7
 
2.6%
i 6
 
2.2%
Other values (44) 116
42.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
CJK
ValueCountFrequency (%)
美 1
100.0%

최종수정일자
Date

Distinct268
Distinct (%)39.4%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
Minimum2000-05-04 00:00:00
Maximum2024-04-24 14:15:00
2024-05-11T15:32:24.745641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:32:24.983194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
I
581 
U
99 

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 581
85.4%
U 99
 
14.6%

Length

2024-05-11T15:32:25.191108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:32:25.352568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 581
85.4%
u 99
 
14.6%

데이터갱신일자
Date

Distinct86
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:01:00
2024-05-11T15:32:25.521663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:32:25.716322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
단란주점
680 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단란주점 680
100.0%

Length

2024-05-11T15:32:25.964954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:32:26.108808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단란주점 680
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct432
Distinct (%)67.0%
Missing35
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean201325.51
Minimum198341.21
Maximum204194.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2024-05-11T15:32:26.244446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198341.21
5-th percentile198650.44
Q1200961.5
median201548.9
Q3202216.11
95-th percentile203870.53
Maximum204194.83
Range5853.6199
Interquartile range (IQR)1254.6031

Descriptive statistics

Standard deviation1547.8742
Coefficient of variation (CV)0.0076884156
Kurtosis-0.52662586
Mean201325.51
Median Absolute Deviation (MAD)667.20332
Skewness-0.42669871
Sum1.2985496 × 108
Variance2395914.6
MonotonicityNot monotonic
2024-05-11T15:32:26.469465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202216.105552867 21
 
3.1%
201052.715465426 6
 
0.9%
202467.838463422 4
 
0.6%
198720.755834125 4
 
0.6%
202471.53107914 4
 
0.6%
201153.543582527 4
 
0.6%
202516.833544602 4
 
0.6%
200963.475096171 3
 
0.4%
203885.0 3
 
0.4%
201911.580372241 3
 
0.4%
Other values (422) 589
86.6%
(Missing) 35
 
5.1%
ValueCountFrequency (%)
198341.208478761 1
 
0.1%
198344.761390706 1
 
0.1%
198357.319178572 2
0.3%
198359.032400861 1
 
0.1%
198371.633126437 3
0.4%
198381.147316283 2
0.3%
198405.343055847 1
 
0.1%
198429.068124585 1
 
0.1%
198443.027160659 1
 
0.1%
198453.121580705 1
 
0.1%
ValueCountFrequency (%)
204194.828360971 1
0.1%
204029.71 1
0.1%
204019.515292237 1
0.1%
204014.53 1
0.1%
203945.084325832 1
0.1%
203934.981642855 1
0.1%
203932.390203687 1
0.1%
203931.336196715 1
0.1%
203922.429796314 1
0.1%
203921.49048584 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct432
Distinct (%)67.0%
Missing35
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean443536.58
Minimum441290.18
Maximum446206.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2024-05-11T15:32:26.681334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441290.18
5-th percentile441538.46
Q1442612.24
median443422.37
Q3444322.92
95-th percentile445947.24
Maximum446206.35
Range4916.1797
Interquartile range (IQR)1710.6768

Descriptive statistics

Standard deviation1278.8477
Coefficient of variation (CV)0.002883297
Kurtosis-0.51796528
Mean443536.58
Median Absolute Deviation (MAD)833.68226
Skewness0.35995195
Sum2.860811 × 108
Variance1635451.4
MonotonicityNot monotonic
2024-05-11T15:32:26.904531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
444042.74666438 21
 
3.1%
442582.553408385 6
 
0.9%
443416.353040198 4
 
0.6%
443566.28280005 4
 
0.6%
443447.073749745 4
 
0.6%
442643.280772 4
 
0.6%
443292.106239847 4
 
0.6%
442766.260573216 3
 
0.4%
441573.885 3
 
0.4%
444592.104335985 3
 
0.4%
Other values (422) 589
86.6%
(Missing) 35
 
5.1%
ValueCountFrequency (%)
441290.175230255 1
0.1%
441373.08 1
0.1%
441428.894840789 1
0.1%
441437.886762425 1
0.1%
441448.235 1
0.1%
441460.563329066 1
0.1%
441463.33400627 1
0.1%
441466.073296604 2
0.3%
441488.241581594 2
0.3%
441488.5 1
0.1%
ValueCountFrequency (%)
446206.354902748 1
0.1%
446168.056666667 1
0.1%
446161.210184935 1
0.1%
446153.664823043 1
0.1%
446130.47997888 1
0.1%
446115.079072598 2
0.3%
446111.955566326 1
0.1%
446105.536208478 1
0.1%
446100.917105583 1
0.1%
446094.650854533 1
0.1%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
단란주점
625 
<NA>
 
55

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단란주점 625
91.9%
<NA> 55
 
8.1%

Length

2024-05-11T15:32:27.110557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:32:27.280521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단란주점 625
91.9%
na 55
 
8.1%

남성종사자수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct6
Distinct (%)1.1%
Missing145
Missing (%)21.3%
Infinite0
Infinite (%)0.0%
Mean0.51401869
Minimum0
Maximum95
Zeros427
Zeros (%)62.8%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2024-05-11T15:32:27.432241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum95
Range95
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.1619025
Coefficient of variation (CV)8.0967921
Kurtosis500.07388
Mean0.51401869
Median Absolute Deviation (MAD)0
Skewness22.004335
Sum275
Variance17.321432
MonotonicityNot monotonic
2024-05-11T15:32:27.589868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 427
62.8%
1 51
 
7.5%
2 42
 
6.2%
3 11
 
1.6%
4 3
 
0.4%
95 1
 
0.1%
(Missing) 145
 
21.3%
ValueCountFrequency (%)
0 427
62.8%
1 51
 
7.5%
2 42
 
6.2%
3 11
 
1.6%
4 3
 
0.4%
95 1
 
0.1%
ValueCountFrequency (%)
95 1
 
0.1%
4 3
 
0.4%
3 11
 
1.6%
2 42
 
6.2%
1 51
 
7.5%
0 427
62.8%

여성종사자수
Categorical

Distinct6
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
0
434 
<NA>
145 
1
65 
2
 
29
3
 
6

Length

Max length4
Median length1
Mean length1.6397059
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 434
63.8%
<NA> 145
 
21.3%
1 65
 
9.6%
2 29
 
4.3%
3 6
 
0.9%
4 1
 
0.1%

Length

2024-05-11T15:32:27.779789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:32:27.957827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 434
63.8%
na 145
 
21.3%
1 65
 
9.6%
2 29
 
4.3%
3 6
 
0.9%
4 1
 
0.1%

영업장주변구분명
Categorical

Distinct7
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
유흥업소밀집지역
219 
기타
197 
주택가주변
144 
<NA>
107 
학교정화(상대)
 
11
Other values (2)
 
2

Length

Max length8
Median length5
Mean length4.9926471
Min length2

Unique

Unique2 ?
Unique (%)0.3%

Sample

1st row유흥업소밀집지역
2nd row학교정화(상대)
3rd row주택가주변
4th row주택가주변
5th row<NA>

Common Values

ValueCountFrequency (%)
유흥업소밀집지역 219
32.2%
기타 197
29.0%
주택가주변 144
21.2%
<NA> 107
15.7%
학교정화(상대) 11
 
1.6%
아파트지역 1
 
0.1%
학교정화(절대) 1
 
0.1%

Length

2024-05-11T15:32:28.174651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:32:28.460907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유흥업소밀집지역 219
32.2%
기타 197
29.0%
주택가주변 144
21.2%
na 107
15.7%
학교정화(상대 11
 
1.6%
아파트지역 1
 
0.1%
학교정화(절대 1
 
0.1%

등급구분명
Categorical

Distinct7
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
기타
304 
자율
231 
<NA>
128 
관리
 
12
지도
 
3
Other values (2)
 
2

Length

Max length4
Median length2
Mean length2.375
Min length1

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
기타 304
44.7%
자율 231
34.0%
<NA> 128
18.8%
관리 12
 
1.8%
지도 3
 
0.4%
을 1
 
0.1%
우수 1
 
0.1%

Length

2024-05-11T15:32:28.722710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:32:28.914749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 304
44.7%
자율 231
34.0%
na 128
18.8%
관리 12
 
1.8%
지도 3
 
0.4%
을 1
 
0.1%
우수 1
 
0.1%

급수시설구분명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
상수도전용
546 
<NA>
134 

Length

Max length5
Median length5
Mean length4.8029412
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 546
80.3%
<NA> 134
 
19.7%

Length

2024-05-11T15:32:29.122700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:32:29.288586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 546
80.3%
na 134
 
19.7%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
674 
0
 
6

Length

Max length4
Median length4
Mean length3.9735294
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> 674
99.1%
0 6
 
0.9%

Length

2024-05-11T15:32:29.468641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:32:29.634605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 674
99.1%
0 6
 
0.9%

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
674 
0
 
6

Length

Max length4
Median length4
Mean length3.9735294
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> 674
99.1%
0 6
 
0.9%

Length

2024-05-11T15:32:29.791602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:32:29.939974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 674
99.1%
0 6
 
0.9%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
674 
0
 
6

Length

Max length4
Median length4
Mean length3.9735294
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> 674
99.1%
0 6
 
0.9%

Length

2024-05-11T15:32:30.106809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:32:30.271099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 674
99.1%
0 6
 
0.9%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
674 
0
 
6

Length

Max length4
Median length4
Mean length3.9735294
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> 674
99.1%
0 6
 
0.9%

Length

2024-05-11T15:32:30.457077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:32:30.682635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 674
99.1%
0 6
 
0.9%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
674 
0
 
6

Length

Max length4
Median length4
Mean length3.9735294
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> 674
99.1%
0 6
 
0.9%

Length

2024-05-11T15:32:30.923802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:32:31.108114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 674
99.1%
0 6
 
0.9%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing680
Missing (%)100.0%
Memory size6.1 KiB

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
674 
0
 
6

Length

Max length4
Median length4
Mean length3.9735294
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> 674
99.1%
0 6
 
0.9%

Length

2024-05-11T15:32:31.284905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:32:31.458862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 674
99.1%
0 6
 
0.9%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
674 
0
 
6

Length

Max length4
Median length4
Mean length3.9735294
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> 674
99.1%
0 6
 
0.9%

Length

2024-05-11T15:32:31.628414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:32:31.784547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 674
99.1%
0 6
 
0.9%

다중이용업소여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.3%
Missing55
Missing (%)8.1%
Memory size1.5 KiB
False
624 
True
 
1
(Missing)
 
55
ValueCountFrequency (%)
False 624
91.8%
True 1
 
0.1%
(Missing) 55
 
8.1%
2024-05-11T15:32:31.920095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING 

Distinct593
Distinct (%)94.9%
Missing55
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean109.43837
Minimum0
Maximum681.99
Zeros3
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2024-05-11T15:32:32.093482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile40.494
Q184.49
median113.47
Q3136.49
95-th percentile151.222
Maximum681.99
Range681.99
Interquartile range (IQR)52

Descriptive statistics

Standard deviation46.676021
Coefficient of variation (CV)0.42650509
Kurtosis38.235621
Mean109.43837
Median Absolute Deviation (MAD)24.81
Skewness3.4375488
Sum68398.98
Variance2178.651
MonotonicityNot monotonic
2024-05-11T15:32:32.312787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 3
 
0.4%
148.0 3
 
0.4%
111.81 2
 
0.3%
145.15 2
 
0.3%
123.15 2
 
0.3%
121.9 2
 
0.3%
140.0 2
 
0.3%
78.43 2
 
0.3%
114.0 2
 
0.3%
56.6 2
 
0.3%
Other values (583) 603
88.7%
(Missing) 55
 
8.1%
ValueCountFrequency (%)
0.0 3
0.4%
16.1 1
 
0.1%
16.2 1
 
0.1%
18.2 2
0.3%
18.9 1
 
0.1%
19.61 1
 
0.1%
20.4 1
 
0.1%
20.8 1
 
0.1%
22.75 1
 
0.1%
23.5 1
 
0.1%
ValueCountFrequency (%)
681.99 1
0.1%
340.55 1
0.1%
329.36 1
0.1%
326.0 1
0.1%
306.03 1
0.1%
276.09 1
0.1%
255.12 1
0.1%
237.45 1
0.1%
224.9 1
0.1%
224.6 1
0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing680
Missing (%)100.0%
Memory size6.1 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing680
Missing (%)100.0%
Memory size6.1 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing680
Missing (%)100.0%
Memory size6.1 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
032100003210000-103-1993-0612819931229<NA>3폐업2폐업19950517<NA><NA><NA>020538202669.0137855서울특별시 서초구 서초동 1303-16번지<NA><NA>제일2001-11-22 00:00:00I2018-08-31 23:59:59.0단란주점202044.629094444504.112782단란주점00유흥업소밀집지역자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N69.0<NA><NA><NA>
132100003210000-103-1993-0612919931226<NA>3폐업2폐업20130116<NA><NA><NA>02 5831995129.44137872서울특별시 서초구 서초동 1540-8번지서울특별시 서초구 반포대로 107 (서초동)<NA>갈마2011-10-30 14:32:01I2018-08-31 23:59:59.0단란주점200673.827103443043.841549단란주점00학교정화(상대)자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N129.44<NA><NA><NA>
232100003210000-103-1993-0613019931230<NA>3폐업2폐업19941128<NA><NA><NA>0205379370113.96137829서울특별시 서초구 방배동 768-3번지<NA><NA>꿈2001-11-22 00:00:00I2018-08-31 23:59:59.0단란주점198664.34454443659.912634단란주점00주택가주변자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N113.96<NA><NA><NA>
332100003210000-103-1993-0613119931230<NA>3폐업2폐업19991021<NA><NA><NA>0205965820116.34137828서울특별시 서초구 방배동 751-4번지<NA><NA>푸른하늘2001-11-22 00:00:00I2018-08-31 23:59:59.0단란주점198640.460578443944.72807단란주점00주택가주변자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N116.34<NA><NA><NA>
432100003210000-103-1993-0613319931231<NA>3폐업2폐업20140321<NA><NA><NA>02 5834198102.88137875서울특별시 서초구 서초동 1585-14번지 지하1층서울특별시 서초구 반포대로12길 14, 1층 (서초동, 지하)6653해피2014-01-13 15:44:58I2018-08-31 23:59:59.0단란주점201003.856428442501.776033단란주점<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N102.88<NA><NA><NA>
532100003210000-103-1993-0613419931213<NA>3폐업2폐업19950617<NA><NA><NA>0205797181120.18137895서울특별시 서초구 양재동 276-12번지<NA><NA>필투2001-11-22 00:00:00I2018-08-31 23:59:59.0단란주점203885.033282441550.556404단란주점21주택가주변자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N120.18<NA><NA><NA>
632100003210000-103-1993-0613619931222<NA>3폐업2폐업20031017<NA><NA><NA>02 512571272.68137903서울특별시 서초구 잠원동 22-20번지<NA><NA>씨에프2003-04-24 00:00:00I2018-08-31 23:59:59.0단란주점201591.418929445844.639768단란주점11유흥업소밀집지역관리상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N72.68<NA><NA><NA>
732100003210000-103-1993-0613719931211<NA>3폐업2폐업19970807<NA><NA><NA>02 554671889.1137856서울특별시 서초구 서초동 1317-31번지<NA><NA>포장마차2001-11-22 00:00:00I2018-08-31 23:59:59.0단란주점202216.105553444042.746664단란주점00유흥업소밀집지역자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N89.1<NA><NA><NA>
832100003210000-103-1993-0613819931221<NA>3폐업2폐업19990624<NA><NA><NA>020535774875.28137828서울특별시 서초구 방배동 756-5번지<NA><NA>태양의길목2001-11-22 00:00:00I2018-08-31 23:59:59.0단란주점198727.299951443895.673558단란주점00주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N75.28<NA><NA><NA>
932100003210000-103-1993-0613919931222<NA>3폐업2폐업19950327<NA><NA><NA>0205371514157.28137828서울특별시 서초구 방배동 761-4번지<NA><NA>하이얏트2001-11-22 00:00:00I2018-08-31 23:59:59.0단란주점198641.654907443758.560448단란주점00주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N157.28<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
67032100003210000-103-2013-0000120130814<NA>1영업/정상1영업<NA><NA><NA><NA>070 77898759128.48137953서울특별시 서초구 서초동 1602-10번지서울특별시 서초구 효령로 289 (서초동)6654힐링2015-07-29 10:29:50I2018-08-31 23:59:59.0단란주점201330.348734442549.663586단란주점<NA><NA>기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N128.48<NA><NA><NA>
67132100003210000-103-2014-0000120141202<NA>1영업/정상1영업<NA><NA><NA><NA><NA>138.76137858서울특별시 서초구 서초동 1330-20서울특별시 서초구 강남대로53길 7, 지하층 102호 (서초동)6626러블리2023-01-12 14:53:28U2022-11-30 23:04:00.0단란주점202427.025843443561.162608<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67232100003210000-103-2015-000012015-10-08<NA>1영업/정상1영업<NA><NA><NA><NA><NA>149.2137-874서울특별시 서초구 서초동 1573-14서울특별시 서초구 반포대로30길 81 (서초동)6644교대콘서트2023-06-01 16:39:48U2022-12-06 00:03:00.0단란주점201068.5429443409.058378<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67332100003210000-103-2016-0000120160607<NA>3폐업2폐업20171101<NA><NA><NA>02 34815117141.3137856서울특별시 서초구 서초동 1308-7번지서울특별시 서초구 서초대로77길 39 (서초동)6612썸앤드콜 뮤직타운2018-02-06 12:06:15I2018-08-31 23:59:59.0단란주점202143.464865444322.921686단란주점<NA><NA>학교정화(상대)<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N141.3<NA><NA><NA>
67432100003210000-103-2017-000012017-11-10<NA>1영업/정상1영업<NA><NA><NA><NA><NA>100.1137-858서울특별시 서초구 서초동 1327-11서울특별시 서초구 서초대로78길 32, 지1층 (서초동)6621문노래바2023-02-23 09:01:29U2022-12-01 22:05:00.0단란주점202407.88288443645.093367<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67532100003210000-103-2018-0000120180322<NA>3폐업2폐업20210209<NA><NA><NA><NA>224.9137876서울특별시 서초구 서초동 1595-6 지하1층서울특별시 서초구 효령로55길 57, 지하1층 (서초동)6651JAM(잼)2021-02-09 17:26:12U2021-02-11 02:40:00.0단란주점201164.044541442785.272026단란주점<NA><NA>유흥업소밀집지역<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y224.9<NA><NA><NA>
67632100003210000-103-2018-0000220181116<NA>3폐업2폐업20221227<NA><NA><NA><NA>81.47137881서울특별시 서초구 서초동 1670-7 지하1층서울특별시 서초구 서초대로54길 9-10, 지하1층 (서초동)6633Made(메이드)2022-12-27 15:48:46U2021-11-01 22:09:00.0단란주점201374.828927443510.163153<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67732100003210000-103-2019-000012019-02-14<NA>1영업/정상1영업<NA><NA><NA><NA><NA>114.52137-863서울특별시 서초구 서초동 1363-5 지하1층서울특별시 서초구 강남대로37길 28, 지하1층 (서초동)6735피닉스(Phoenix)2023-07-05 17:02:40U2022-12-07 00:07:00.0단란주점202760.330583442537.687792<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67832100003210000-103-2020-0000120200420<NA>3폐업2폐업20210730<NA><NA><NA><NA>125.2137881서울특별시 서초구 서초동 1670-8서울특별시 서초구 서초중앙로22길 47-5, 지하1층 (서초동)6633리치라이브2021-07-30 11:49:16U2021-08-01 02:40:00.0단란주점201380.012558443496.919411단란주점00기타<NA>상수도전용00000<NA>00N125.2<NA><NA><NA>
67932100003210000-103-2022-000012022-08-09<NA>1영업/정상1영업<NA><NA><NA><NA>07040247535112.7137-883서울특별시 서초구 서초동 1694-6 신우빌딩 지하1층서울특별시 서초구 서초대로51길 15, 신우빌딩 지하1층 (서초동)6605화수분2024-02-16 16:03:52U2023-12-01 23:08:00.0단란주점201175.122079443676.275139<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>