Overview

Dataset statistics

Number of variables17
Number of observations1677
Missing cells2559
Missing cells (%)9.0%
Duplicate rows175
Duplicate rows (%)10.4%
Total size in memory232.7 KiB
Average record size in memory142.1 B

Variable types

Categorical4
Numeric5
Text8

Dataset

Description시군구코드,처분일자,교부번호,업종명,업태명,업소명,소재지도로명,소재지지번,지도점검일자,행정처분상태,처분명,법적근거,위반일자,위반내용,처분내용,처분기간,영업장면적(㎡)
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-11067/S/1/datasetView.do

Alerts

시군구코드 has constant value ""Constant
행정처분상태 has constant value ""Constant
Dataset has 175 (10.4%) duplicate rowsDuplicates
처분일자 is highly overall correlated with 지도점검일자 and 1 other fieldsHigh correlation
지도점검일자 is highly overall correlated with 처분일자 and 1 other fieldsHigh correlation
위반일자 is highly overall correlated with 처분일자 and 1 other fieldsHigh correlation
처분기간 is highly overall correlated with 업종명 and 1 other fieldsHigh correlation
업종명 is highly overall correlated with 처분기간 and 1 other fieldsHigh correlation
업태명 is highly overall correlated with 처분기간 and 1 other fieldsHigh correlation
소재지도로명 has 700 (41.7%) missing valuesMissing
처분기간 has 1634 (97.4%) missing valuesMissing
영업장면적(㎡) has 225 (13.4%) missing valuesMissing
영업장면적(㎡) is highly skewed (γ1 = 20.19894339)Skewed
영업장면적(㎡) has 77 (4.6%) zerosZeros

Reproduction

Analysis started2024-05-18 01:05:22.504274
Analysis finished2024-05-18 01:05:33.552442
Duration11.05 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
3210000
1677 

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 1677
100.0%

Length

2024-05-18T10:05:33.764665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:05:34.108173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 1677
100.0%

처분일자
Real number (ℝ)

HIGH CORRELATION 

Distinct393
Distinct (%)23.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20134555
Minimum20020327
Maximum20240304
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.9 KiB
2024-05-18T10:05:34.495539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020327
5-th percentile20040729
Q120091030
median20140918
Q320171226
95-th percentile20220208
Maximum20240304
Range219977
Interquartile range (IQR)80196

Descriptive statistics

Standard deviation53254.36
Coefficient of variation (CV)0.0026449236
Kurtosis-0.93915019
Mean20134555
Median Absolute Deviation (MAD)40616
Skewness-0.10333267
Sum3.3765648 × 1010
Variance2.8360269 × 109
MonotonicityDecreasing
2024-05-18T10:05:34.975770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20140918 106
 
6.3%
20091218 66
 
3.9%
20181213 64
 
3.8%
20171206 63
 
3.8%
20070227 62
 
3.7%
20070328 58
 
3.5%
20190906 49
 
2.9%
20201110 45
 
2.7%
20161108 41
 
2.4%
20161124 36
 
2.1%
Other values (383) 1087
64.8%
ValueCountFrequency (%)
20020327 2
0.1%
20020617 1
0.1%
20020712 1
0.1%
20020907 1
0.1%
20021231 1
0.1%
20030127 1
0.1%
20030319 1
0.1%
20030523 1
0.1%
20030710 1
0.1%
20030806 1
0.1%
ValueCountFrequency (%)
20240304 1
 
0.1%
20240221 1
 
0.1%
20231218 1
 
0.1%
20230807 1
 
0.1%
20230707 1
 
0.1%
20230704 8
0.5%
20230630 4
0.2%
20230615 2
 
0.1%
20230614 1
 
0.1%
20230524 1
 
0.1%

교부번호
Text

Distinct734
Distinct (%)43.8%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-18T10:05:35.822183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length5.0292188
Min length2

Characters and Unicode

Total characters8434
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique438 ?
Unique (%)26.1%

Sample

1st row0019
2nd row0005
3rd row0065
4th row404
5th row2020-19-35
ValueCountFrequency (%)
0093 19
 
1.1%
138 18
 
1.1%
106 16
 
1.0%
124 16
 
1.0%
165 13
 
0.8%
2015-19-1 13
 
0.8%
012 12
 
0.7%
120 12
 
0.7%
103 11
 
0.7%
164 11
 
0.7%
Other values (724) 1537
91.6%
2024-05-18T10:05:37.080285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1957
23.2%
1 1618
19.2%
2 1071
12.7%
- 770
 
9.1%
9 585
 
6.9%
3 474
 
5.6%
4 454
 
5.4%
5 452
 
5.4%
6 387
 
4.6%
8 327
 
3.9%
Other values (9) 339
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7617
90.3%
Dash Punctuation 770
 
9.1%
Other Letter 46
 
0.5%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1957
25.7%
1 1618
21.2%
2 1071
14.1%
9 585
 
7.7%
3 474
 
6.2%
4 454
 
6.0%
5 452
 
5.9%
6 387
 
5.1%
8 327
 
4.3%
7 292
 
3.8%
Other Letter
ValueCountFrequency (%)
서 14
30.4%
초 14
30.4%
구 14
30.4%
위 1
 
2.2%
생 1
 
2.2%
관 1
 
2.2%
리 1
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 770
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8388
99.5%
Hangul 46
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1957
23.3%
1 1618
19.3%
2 1071
12.8%
- 770
 
9.2%
9 585
 
7.0%
3 474
 
5.7%
4 454
 
5.4%
5 452
 
5.4%
6 387
 
4.6%
8 327
 
3.9%
Other values (2) 293
 
3.5%
Hangul
ValueCountFrequency (%)
서 14
30.4%
초 14
30.4%
구 14
30.4%
위 1
 
2.2%
생 1
 
2.2%
관 1
 
2.2%
리 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8388
99.5%
Hangul 46
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1957
23.3%
1 1618
19.3%
2 1071
12.8%
- 770
 
9.2%
9 585
 
7.0%
3 474
 
5.7%
4 454
 
5.4%
5 452
 
5.4%
6 387
 
4.6%
8 327
 
3.9%
Other values (2) 293
 
3.5%
Hangul
ValueCountFrequency (%)
서 14
30.4%
초 14
30.4%
구 14
30.4%
위 1
 
2.2%
생 1
 
2.2%
관 1
 
2.2%
리 1
 
2.2%

업종명
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
위생관리용역업
446 
목욕장업
332 
피부미용업
177 
이용업
175 
숙박업(일반)
141 
Other values (15)
406 

Length

Max length23
Median length16
Mean length5.4997018
Min length3

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row목욕장업
2nd row숙박업(일반)
3rd row숙박업(일반)
4th row세탁업
5th row네일미용업

Common Values

ValueCountFrequency (%)
위생관리용역업 446
26.6%
목욕장업 332
19.8%
피부미용업 177
 
10.6%
이용업 175
 
10.4%
숙박업(일반) 141
 
8.4%
일반미용업 97
 
5.8%
세탁업 97
 
5.8%
종합미용업 82
 
4.9%
네일미용업 41
 
2.4%
미용업 22
 
1.3%
Other values (10) 67
 
4.0%

Length

2024-05-18T10:05:37.573257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
위생관리용역업 446
25.1%
목욕장업 332
18.7%
피부미용업 203
11.4%
이용업 175
 
9.8%
숙박업(일반 141
 
7.9%
일반미용업 121
 
6.8%
세탁업 97
 
5.5%
종합미용업 82
 
4.6%
네일미용업 77
 
4.3%
미용업 63
 
3.5%

업태명
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
위생관리용역업
445 
피부미용업
203 
공동탕업
187 
일반미용업
176 
일반이용업
175 
Other values (13)
491 

Length

Max length14
Median length10
Mean length5.8473465
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row공동탕업
2nd row여관업
3rd row여관업
4th row일반세탁업
5th row네일아트업

Common Values

ValueCountFrequency (%)
위생관리용역업 445
26.5%
피부미용업 203
12.1%
공동탕업 187
11.2%
일반미용업 176
 
10.5%
일반이용업 175
 
10.4%
공동탕업+찜질시설서비스영업 106
 
6.3%
일반세탁업 97
 
5.8%
네일아트업 66
 
3.9%
여관업 58
 
3.5%
일반호텔 45
 
2.7%
Other values (8) 119
 
7.1%

Length

2024-05-18T10:05:38.127031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
위생관리용역업 446
26.4%
피부미용업 203
12.0%
공동탕업 187
11.1%
일반미용업 176
 
10.4%
일반이용업 175
 
10.4%
공동탕업+찜질시설서비스영업 106
 
6.3%
일반세탁업 97
 
5.7%
네일아트업 66
 
3.9%
여관업 58
 
3.4%
일반호텔 45
 
2.7%
Other values (7) 130
 
7.7%

업소명
Text

Distinct881
Distinct (%)52.5%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-18T10:05:38.971202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length29
Mean length6.9827072
Min length2

Characters and Unicode

Total characters11710
Distinct characters529
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique599 ?
Unique (%)35.7%

Sample

1st row오방사우나
2nd row30Month hotel
3rd row스테이 서래
4th row주부세탁
5th row블리네일
ValueCountFrequency (%)
주식회사 30
 
1.4%
뷰티 28
 
1.3%
호텔 20
 
0.9%
18
 
0.8%
네일 17
 
0.8%
에스테틱 17
 
0.8%
수정사우나 14
 
0.6%
헤어 14
 
0.6%
탑(top 14
 
0.6%
스파 14
 
0.6%
Other values (1050) 2019
91.6%
2024-05-18T10:05:40.196417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
530
 
4.5%
) 456
 
3.9%
( 454
 
3.9%
주 406
 
3.5%
스 397
 
3.4%
이 365
 
3.1%
용 232
 
2.0%
사 188
 
1.6%
원 183
 
1.6%
우 168
 
1.4%
Other values (519) 8331
71.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9331
79.7%
Space Separator 530
 
4.5%
Close Punctuation 456
 
3.9%
Open Punctuation 454
 
3.9%
Uppercase Letter 433
 
3.7%
Lowercase Letter 382
 
3.3%
Decimal Number 66
 
0.6%
Other Punctuation 38
 
0.3%
Dash Punctuation 17
 
0.1%
Math Symbol 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 406
 
4.4%
스 397
 
4.3%
이 365
 
3.9%
용 232
 
2.5%
사 188
 
2.0%
원 183
 
2.0%
우 168
 
1.8%
리 168
 
1.8%
나 164
 
1.8%
에 151
 
1.6%
Other values (452) 6909
74.0%
Uppercase Letter
ValueCountFrequency (%)
N 46
 
10.6%
T 43
 
9.9%
O 40
 
9.2%
P 32
 
7.4%
C 29
 
6.7%
H 25
 
5.8%
S 25
 
5.8%
I 20
 
4.6%
G 19
 
4.4%
B 19
 
4.4%
Other values (14) 135
31.2%
Lowercase Letter
ValueCountFrequency (%)
a 59
15.4%
e 47
12.3%
i 31
 
8.1%
n 29
 
7.6%
l 26
 
6.8%
s 25
 
6.5%
h 20
 
5.2%
o 20
 
5.2%
r 19
 
5.0%
t 19
 
5.0%
Other values (13) 87
22.8%
Other Punctuation
ValueCountFrequency (%)
& 21
55.3%
？ 6
 
15.8%
. 4
 
10.5%
# 3
 
7.9%
? 2
 
5.3%
, 1
 
2.6%
: 1
 
2.6%
Decimal Number
ValueCountFrequency (%)
0 20
30.3%
1 18
27.3%
3 10
15.2%
8 7
 
10.6%
4 6
 
9.1%
2 5
 
7.6%
Space Separator
ValueCountFrequency (%)
530
100.0%
Close Punctuation
ValueCountFrequency (%)
) 456
100.0%
Open Punctuation
ValueCountFrequency (%)
( 454
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Modifier Letter
ValueCountFrequency (%)
ː 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9327
79.6%
Common 1564
 
13.4%
Latin 815
 
7.0%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 406
 
4.4%
스 397
 
4.3%
이 365
 
3.9%
용 232
 
2.5%
사 188
 
2.0%
원 183
 
2.0%
우 168
 
1.8%
리 168
 
1.8%
나 164
 
1.8%
에 151
 
1.6%
Other values (450) 6905
74.0%
Latin
ValueCountFrequency (%)
a 59
 
7.2%
e 47
 
5.8%
N 46
 
5.6%
T 43
 
5.3%
O 40
 
4.9%
P 32
 
3.9%
i 31
 
3.8%
C 29
 
3.6%
n 29
 
3.6%
l 26
 
3.2%
Other values (37) 433
53.1%
Common
ValueCountFrequency (%)
530
33.9%
) 456
29.2%
( 454
29.0%
& 21
 
1.3%
0 20
 
1.3%
1 18
 
1.2%
- 17
 
1.1%
3 10
 
0.6%
8 7
 
0.4%
？ 6
 
0.4%
Other values (10) 25
 
1.6%
Han
ValueCountFrequency (%)
美 2
50.0%
休 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9327
79.6%
ASCII 2372
 
20.3%
None 6
 
0.1%
CJK 4
 
< 0.1%
Modifier Letters 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
530
22.3%
) 456
19.2%
( 454
19.1%
a 59
 
2.5%
e 47
 
2.0%
N 46
 
1.9%
T 43
 
1.8%
O 40
 
1.7%
P 32
 
1.3%
i 31
 
1.3%
Other values (55) 634
26.7%
Hangul
ValueCountFrequency (%)
주 406
 
4.4%
스 397
 
4.3%
이 365
 
3.9%
용 232
 
2.5%
사 188
 
2.0%
원 183
 
2.0%
우 168
 
1.8%
리 168
 
1.8%
나 164
 
1.8%
에 151
 
1.6%
Other values (450) 6905
74.0%
None
ValueCountFrequency (%)
？ 6
100.0%
CJK
ValueCountFrequency (%)
美 2
50.0%
休 2
50.0%
Modifier Letters
ValueCountFrequency (%)
ː 1
100.0%

소재지도로명
Text

MISSING 

Distinct631
Distinct (%)64.6%
Missing700
Missing (%)41.7%
Memory size13.2 KiB
2024-05-18T10:05:40.840411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length48
Mean length34.250768
Min length22

Characters and Unicode

Total characters33463
Distinct characters320
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique476 ?
Unique (%)48.7%

Sample

1st row서울특별시 서초구 신반포로45길 14, 우만빌딩 지층 (잠원동)
2nd row서울특별시 서초구 남부순환로358길 26, 1층, 2층, 3층 (양재동)
3rd row서울특별시 서초구 서래로 43, (반포동)
4th row서울특별시 서초구 방배로26길 22, 1층 (방배동)
5th row서울특별시 서초구 효령로77길 34, 아크로텔 강남역 2층 203호 (서초동)
ValueCountFrequency (%)
서울특별시 977
 
15.5%
서초구 977
 
15.5%
서초동 265
 
4.2%
방배동 170
 
2.7%
2층 133
 
2.1%
반포동 128
 
2.0%
양재동 114
 
1.8%
1층 111
 
1.8%
지하 80
 
1.3%
잠원동 61
 
1.0%
Other values (1008) 3295
52.2%
2024-05-18T10:05:42.275562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5340
 
16.0%
서 2568
 
7.7%
, 1561
 
4.7%
초 1540
 
4.6%
1 1183
 
3.5%
동 1101
 
3.3%
시 993
 
3.0%
) 991
 
3.0%
( 991
 
3.0%
구 986
 
2.9%
Other values (310) 16209
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19072
57.0%
Space Separator 5340
 
16.0%
Decimal Number 5183
 
15.5%
Other Punctuation 1566
 
4.7%
Close Punctuation 991
 
3.0%
Open Punctuation 991
 
3.0%
Dash Punctuation 146
 
0.4%
Uppercase Letter 144
 
0.4%
Math Symbol 19
 
0.1%
Lowercase Letter 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 2568
 
13.5%
초 1540
 
8.1%
동 1101
 
5.8%
시 993
 
5.2%
구 986
 
5.2%
울 986
 
5.2%
특 977
 
5.1%
별 977
 
5.1%
로 966
 
5.1%
층 606
 
3.2%
Other values (267) 7372
38.7%
Uppercase Letter
ValueCountFrequency (%)
B 51
35.4%
A 17
 
11.8%
E 8
 
5.6%
L 8
 
5.6%
R 7
 
4.9%
T 7
 
4.9%
S 5
 
3.5%
D 5
 
3.5%
P 5
 
3.5%
G 4
 
2.8%
Other values (9) 27
18.8%
Decimal Number
ValueCountFrequency (%)
1 1183
22.8%
2 849
16.4%
3 686
13.2%
0 523
10.1%
5 445
 
8.6%
4 410
 
7.9%
7 311
 
6.0%
6 295
 
5.7%
8 267
 
5.2%
9 214
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
e 3
30.0%
f 2
20.0%
v 2
20.0%
i 2
20.0%
h 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 1561
99.7%
/ 4
 
0.3%
& 1
 
0.1%
Space Separator
ValueCountFrequency (%)
5340
100.0%
Close Punctuation
ValueCountFrequency (%)
) 991
100.0%
Open Punctuation
ValueCountFrequency (%)
( 991
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 146
100.0%
Math Symbol
ValueCountFrequency (%)
~ 19
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19072
57.0%
Common 14236
42.5%
Latin 155
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 2568
 
13.5%
초 1540
 
8.1%
동 1101
 
5.8%
시 993
 
5.2%
구 986
 
5.2%
울 986
 
5.2%
특 977
 
5.1%
별 977
 
5.1%
로 966
 
5.1%
층 606
 
3.2%
Other values (267) 7372
38.7%
Latin
ValueCountFrequency (%)
B 51
32.9%
A 17
 
11.0%
E 8
 
5.2%
L 8
 
5.2%
R 7
 
4.5%
T 7
 
4.5%
S 5
 
3.2%
D 5
 
3.2%
P 5
 
3.2%
G 4
 
2.6%
Other values (15) 38
24.5%
Common
ValueCountFrequency (%)
5340
37.5%
, 1561
 
11.0%
1 1183
 
8.3%
) 991
 
7.0%
( 991
 
7.0%
2 849
 
6.0%
3 686
 
4.8%
0 523
 
3.7%
5 445
 
3.1%
4 410
 
2.9%
Other values (8) 1257
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19072
57.0%
ASCII 14390
43.0%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5340
37.1%
, 1561
 
10.8%
1 1183
 
8.2%
) 991
 
6.9%
( 991
 
6.9%
2 849
 
5.9%
3 686
 
4.8%
0 523
 
3.6%
5 445
 
3.1%
4 410
 
2.8%
Other values (32) 1411
 
9.8%
Hangul
ValueCountFrequency (%)
서 2568
 
13.5%
초 1540
 
8.1%
동 1101
 
5.8%
시 993
 
5.2%
구 986
 
5.2%
울 986
 
5.2%
특 977
 
5.1%
별 977
 
5.1%
로 966
 
5.1%
층 606
 
3.2%
Other values (267) 7372
38.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지지번
Text

Distinct883
Distinct (%)52.7%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-18T10:05:43.210373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length94
Median length49
Mean length31.154442
Min length22

Characters and Unicode

Total characters52246
Distinct characters287
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

Unique589 ?
Unique (%)35.1%

Sample

1st row서울특별시 서초구 잠원동 39번지 12호 지층
2nd row서울특별시 서초구 양재동 8번지 11호 1층, 2층, 3층
3rd row서울특별시 서초구 반포동 94번지 7호 (3~5층?)
4th row서울특별시 서초구 방배동 876번지 41호 1층
5th row서울특별시 서초구 서초동 1337번지 2호 -203
ValueCountFrequency (%)
서울특별시 1677
 
16.1%
서초구 1677
 
16.1%
서초동 626
 
6.0%
방배동 388
 
3.7%
반포동 256
 
2.5%
양재동 230
 
2.2%
1호 173
 
1.7%
지하 169
 
1.6%
2층 159
 
1.5%
잠원동 153
 
1.5%
Other values (1081) 4917
47.2%
2024-05-18T10:05:44.520261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12390
23.7%
서 4041
 
7.7%
1 2753
 
5.3%
초 2334
 
4.5%
지 2188
 
4.2%
호 1922
 
3.7%
동 1751
 
3.4%
시 1696
 
3.2%
구 1683
 
3.2%
울 1683
 
3.2%
Other values (277) 19805
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28547
54.6%
Space Separator 12390
23.7%
Decimal Number 10387
 
19.9%
Dash Punctuation 298
 
0.6%
Other Punctuation 200
 
0.4%
Uppercase Letter 128
 
0.2%
Open Punctuation 120
 
0.2%
Close Punctuation 116
 
0.2%
Math Symbol 58
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 4041
14.2%
초 2334
 
8.2%
지 2188
 
7.7%
호 1922
 
6.7%
동 1751
 
6.1%
시 1696
 
5.9%
구 1683
 
5.9%
울 1683
 
5.9%
번 1680
 
5.9%
별 1677
 
5.9%
Other values (238) 7892
27.6%
Uppercase Letter
ValueCountFrequency (%)
B 57
44.5%
A 12
 
9.4%
K 8
 
6.2%
T 7
 
5.5%
E 6
 
4.7%
D 5
 
3.9%
F 4
 
3.1%
R 4
 
3.1%
L 4
 
3.1%
S 4
 
3.1%
Other values (8) 17
 
13.3%
Decimal Number
ValueCountFrequency (%)
1 2753
26.5%
2 1383
13.3%
3 1214
11.7%
0 1016
 
9.8%
5 850
 
8.2%
4 731
 
7.0%
7 703
 
6.8%
6 602
 
5.8%
8 578
 
5.6%
9 557
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 161
80.5%
? 35
 
17.5%
/ 4
 
2.0%
Open Punctuation
ValueCountFrequency (%)
( 116
96.7%
[ 4
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
h 1
50.0%
Space Separator
ValueCountFrequency (%)
12390
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 298
100.0%
Close Punctuation
ValueCountFrequency (%)
) 116
100.0%
Math Symbol
ValueCountFrequency (%)
~ 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28547
54.6%
Common 23569
45.1%
Latin 130
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 4041
14.2%
초 2334
 
8.2%
지 2188
 
7.7%
호 1922
 
6.7%
동 1751
 
6.1%
시 1696
 
5.9%
구 1683
 
5.9%
울 1683
 
5.9%
번 1680
 
5.9%
별 1677
 
5.9%
Other values (238) 7892
27.6%
Latin
ValueCountFrequency (%)
B 57
43.8%
A 12
 
9.2%
K 8
 
6.2%
T 7
 
5.4%
E 6
 
4.6%
D 5
 
3.8%
F 4
 
3.1%
R 4
 
3.1%
L 4
 
3.1%
S 4
 
3.1%
Other values (10) 19
 
14.6%
Common
ValueCountFrequency (%)
12390
52.6%
1 2753
 
11.7%
2 1383
 
5.9%
3 1214
 
5.2%
0 1016
 
4.3%
5 850
 
3.6%
4 731
 
3.1%
7 703
 
3.0%
6 602
 
2.6%
8 578
 
2.5%
Other values (9) 1349
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28547
54.6%
ASCII 23699
45.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12390
52.3%
1 2753
 
11.6%
2 1383
 
5.8%
3 1214
 
5.1%
0 1016
 
4.3%
5 850
 
3.6%
4 731
 
3.1%
7 703
 
3.0%
6 602
 
2.5%
8 578
 
2.4%
Other values (29) 1479
 
6.2%
Hangul
ValueCountFrequency (%)
서 4041
14.2%
초 2334
 
8.2%
지 2188
 
7.7%
호 1922
 
6.7%
동 1751
 
6.1%
시 1696
 
5.9%
구 1683
 
5.9%
울 1683
 
5.9%
번 1680
 
5.9%
별 1677
 
5.9%
Other values (238) 7892
27.6%

지도점검일자
Real number (ℝ)

HIGH CORRELATION 

Distinct405
Distinct (%)24.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20131834
Minimum20020123
Maximum20240206
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.9 KiB
2024-05-18T10:05:45.171418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020123
5-th percentile20040712
Q120090109
median20140801
Q320171031
95-th percentile20213009
Maximum20240206
Range220083
Interquartile range (IQR)80922

Descriptive statistics

Standard deviation53958.464
Coefficient of variation (CV)0.0026802558
Kurtosis-0.96949881
Mean20131834
Median Absolute Deviation (MAD)40680
Skewness-0.088484715
Sum3.3761085 × 1010
Variance2.9115158 × 109
MonotonicityNot monotonic
2024-05-18T10:05:45.605156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20061231 151
 
9.0%
20090109 70
 
4.2%
20161230 69
 
4.1%
20181120 68
 
4.1%
20140925 60
 
3.6%
20140801 58
 
3.5%
20200731 51
 
3.0%
20190801 49
 
2.9%
20160127 35
 
2.1%
20100121 32
 
1.9%
Other values (395) 1034
61.7%
ValueCountFrequency (%)
20020123 1
0.1%
20020225 2
0.1%
20020614 1
0.1%
20020729 1
0.1%
20021125 1
0.1%
20021211 1
0.1%
20021224 1
0.1%
20030207 1
0.1%
20030404 1
0.1%
20030430 1
0.1%
ValueCountFrequency (%)
20240206 1
 
0.1%
20231207 1
 
0.1%
20231122 1
 
0.1%
20230615 1
 
0.1%
20230503 1
 
0.1%
20230407 31
1.8%
20230405 5
 
0.3%
20230404 1
 
0.1%
20230403 2
 
0.1%
20230314 6
 
0.4%

행정처분상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
처분확정
1677 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
처분확정 1677
100.0%

Length

2024-05-18T10:05:46.012134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:05:46.622278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
처분확정 1677
100.0%

처분명
Text

Distinct196
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-18T10:05:47.694513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length46
Mean length8.5062612
Min length2

Characters and Unicode

Total characters14265
Distinct characters119
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique108 ?
Unique (%)6.4%

Sample

1st row개선명령
2nd row과징금부과
3rd row영업정지 1개월(기소유예건으로 1/2 감경)
4th row공중위생관리법위반과태료 20만원 부과(위생과-17327(2023.8.4.))(과태료 재판 집행 위탁)
5th row직권말소
ValueCountFrequency (%)
과태료부과 436
16.8%
경고 266
 
10.3%
영업소폐쇄 229
 
8.8%
개선명령 226
 
8.7%
20만원 141
 
5.4%
과태료 138
 
5.3%
부과 111
 
4.3%
및 107
 
4.1%
20%감경 64
 
2.5%
영업정지 55
 
2.1%
Other values (210) 821
31.6%
2024-05-18T10:05:49.623425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 1627
 
11.4%
917
 
6.4%
부 818
 
5.7%
료 799
 
5.6%
태 799
 
5.6%
0 701
 
4.9%
2 558
 
3.9%
원 536
 
3.8%
만 501
 
3.5%
1 375
 
2.6%
Other values (109) 6634
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10199
71.5%
Decimal Number 2221
 
15.6%
Space Separator 917
 
6.4%
Other Punctuation 373
 
2.6%
Open Punctuation 262
 
1.8%
Close Punctuation 261
 
1.8%
Math Symbol 19
 
0.1%
Dash Punctuation 13
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 1627
16.0%
부 818
 
8.0%
료 799
 
7.8%
태 799
 
7.8%
원 536
 
5.3%
만 501
 
4.9%
업 371
 
3.6%
영 366
 
3.6%
경 347
 
3.4%
개 324
 
3.2%
Other values (89) 3711
36.4%
Decimal Number
ValueCountFrequency (%)
0 701
31.6%
2 558
25.1%
1 375
16.9%
6 205
 
9.2%
4 135
 
6.1%
5 95
 
4.3%
3 60
 
2.7%
7 42
 
1.9%
8 25
 
1.1%
9 25
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 264
70.8%
% 65
 
17.4%
, 34
 
9.1%
: 7
 
1.9%
/ 3
 
0.8%
Space Separator
ValueCountFrequency (%)
917
100.0%
Open Punctuation
ValueCountFrequency (%)
( 262
100.0%
Close Punctuation
ValueCountFrequency (%)
) 261
100.0%
Math Symbol
ValueCountFrequency (%)
~ 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10199
71.5%
Common 4066
 
28.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 1627
16.0%
부 818
 
8.0%
료 799
 
7.8%
태 799
 
7.8%
원 536
 
5.3%
만 501
 
4.9%
업 371
 
3.6%
영 366
 
3.6%
경 347
 
3.4%
개 324
 
3.2%
Other values (89) 3711
36.4%
Common
ValueCountFrequency (%)
917
22.6%
0 701
17.2%
2 558
13.7%
1 375
9.2%
. 264
 
6.5%
( 262
 
6.4%
) 261
 
6.4%
6 205
 
5.0%
4 135
 
3.3%
5 95
 
2.3%
Other values (10) 293
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10194
71.5%
ASCII 4066
 
28.5%
Compat Jamo 5
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 1627
16.0%
부 818
 
8.0%
료 799
 
7.8%
태 799
 
7.8%
원 536
 
5.3%
만 501
 
4.9%
업 371
 
3.6%
영 366
 
3.6%
경 347
 
3.4%
개 324
 
3.2%
Other values (88) 3706
36.4%
ASCII
ValueCountFrequency (%)
917
22.6%
0 701
17.2%
2 558
13.7%
1 375
9.2%
. 264
 
6.5%
( 262
 
6.4%
) 261
 
6.4%
6 205
 
5.0%
4 135
 
3.3%
5 95
 
2.3%
Other values (10) 293
 
7.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 5
100.0%

법적근거
Text

Distinct167
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-18T10:05:50.689959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length42
Mean length12.298748
Min length2

Characters and Unicode

Total characters20625
Distinct characters74
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)4.1%

Sample

1st row법 제11조제1항제4호
2nd row「청소년보호법」제58조(벌칙)제5호, 「공중위생관리법」제11조(공중위생영업소의 폐쇄등)1항8조
3rd row법 제11조제1항제8호
4th row법 제22조제2항제6호
5th row법 제3조3항
ValueCountFrequency (%)
법 711
18.7%
공중위생관리법 659
17.4%
제17조 508
13.4%
및 233
 
6.1%
제22조제2항제6호 155
 
4.1%
제11조 126
 
3.3%
공중위생관리법제17조 123
 
3.2%
제22조 116
 
3.1%
제3조제3항 104
 
2.7%
제4조제2항 89
 
2.3%
Other values (132) 970
25.6%
2024-05-18T10:05:51.892240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 2878
14.0%
2131
 
10.3%
조 1924
 
9.3%
법 1712
 
8.3%
1 1581
 
7.7%
위 940
 
4.6%
생 935
 
4.5%
공 931
 
4.5%
중 931
 
4.5%
2 903
 
4.4%
Other values (64) 5759
27.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13968
67.7%
Decimal Number 4391
 
21.3%
Space Separator 2131
 
10.3%
Other Punctuation 115
 
0.6%
Close Punctuation 10
 
< 0.1%
Open Punctuation 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 2878
20.6%
조 1924
13.8%
법 1712
12.3%
위 940
 
6.7%
생 935
 
6.7%
공 931
 
6.7%
중 931
 
6.7%
관 886
 
6.3%
리 880
 
6.3%
항 868
 
6.2%
Other values (48) 1083
 
7.8%
Decimal Number
ValueCountFrequency (%)
1 1581
36.0%
2 903
20.6%
7 776
17.7%
3 470
 
10.7%
4 355
 
8.1%
6 179
 
4.1%
9 86
 
2.0%
0 27
 
0.6%
8 8
 
0.2%
5 6
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 8
80.0%
」 2
 
20.0%
Open Punctuation
ValueCountFrequency (%)
( 8
80.0%
「 2
 
20.0%
Space Separator
ValueCountFrequency (%)
2131
100.0%
Other Punctuation
ValueCountFrequency (%)
, 115
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13968
67.7%
Common 6657
32.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 2878
20.6%
조 1924
13.8%
법 1712
12.3%
위 940
 
6.7%
생 935
 
6.7%
공 931
 
6.7%
중 931
 
6.7%
관 886
 
6.3%
리 880
 
6.3%
항 868
 
6.2%
Other values (48) 1083
 
7.8%
Common
ValueCountFrequency (%)
2131
32.0%
1 1581
23.7%
2 903
13.6%
7 776
 
11.7%
3 470
 
7.1%
4 355
 
5.3%
6 179
 
2.7%
, 115
 
1.7%
9 86
 
1.3%
0 27
 
0.4%
Other values (6) 34
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13968
67.7%
ASCII 6653
32.3%
None 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 2878
20.6%
조 1924
13.8%
법 1712
12.3%
위 940
 
6.7%
생 935
 
6.7%
공 931
 
6.7%
중 931
 
6.7%
관 886
 
6.3%
리 880
 
6.3%
항 868
 
6.2%
Other values (48) 1083
 
7.8%
ASCII
ValueCountFrequency (%)
2131
32.0%
1 1581
23.8%
2 903
13.6%
7 776
 
11.7%
3 470
 
7.1%
4 355
 
5.3%
6 179
 
2.7%
, 115
 
1.7%
9 86
 
1.3%
0 27
 
0.4%
Other values (4) 30
 
0.5%
None
ValueCountFrequency (%)
」 2
50.0%
「 2
50.0%

위반일자
Real number (ℝ)

HIGH CORRELATION 

Distinct408
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20131478
Minimum19980101
Maximum20240206
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.9 KiB
2024-05-18T10:05:52.654419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980101
5-th percentile20040712
Q120090109
median20140801
Q320171019
95-th percentile20213003
Maximum20240206
Range260105
Interquartile range (IQR)80910

Descriptive statistics

Standard deviation53385.993
Coefficient of variation (CV)0.0026518665
Kurtosis-0.95420447
Mean20131478
Median Absolute Deviation (MAD)40680
Skewness-0.13758326
Sum3.3760489 × 1010
Variance2.8500643 × 109
MonotonicityNot monotonic
2024-05-18T10:05:53.120363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20061231 152
 
9.1%
20140801 96
 
5.7%
20090109 70
 
4.2%
20161230 69
 
4.1%
20180101 68
 
4.1%
20200101 62
 
3.7%
20190101 57
 
3.4%
20160101 35
 
2.1%
20100121 33
 
2.0%
20221231 31
 
1.8%
Other values (398) 1004
59.9%
ValueCountFrequency (%)
19980101 1
0.1%
20011220 1
0.1%
20020225 2
0.1%
20020614 1
0.1%
20020729 1
0.1%
20021125 1
0.1%
20021211 1
0.1%
20021224 1
0.1%
20030207 1
0.1%
20030404 1
0.1%
ValueCountFrequency (%)
20240206 1
 
0.1%
20231122 1
 
0.1%
20230615 1
 
0.1%
20230502 1
 
0.1%
20230405 5
0.3%
20230404 1
 
0.1%
20230403 2
 
0.1%
20230314 6
0.4%
20230309 7
0.4%
20230201 1
 
0.1%

위반내용
Text

Distinct424
Distinct (%)25.3%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-18T10:05:54.006383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length292
Median length90
Mean length18.060227
Min length2

Characters and Unicode

Total characters30287
Distinct characters350
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique246 ?
Unique (%)14.7%

Sample

1st row욕수의 수질기준에 적합하게 욕수를 유지하지 않은 경우(1차) - 위반사항 : 탁도 기준치(1.6NTU) 초과 (적발일: 2024. 1. 15. 검사결과: 8.87NTU)
2nd row2023.11.22. 01:00 신분증 미확인 및 미성년자 남녀 혼숙으로 「청소년 보호법」 제58조(벌칙)5조 혐의가 인정되어「공중위생관리법」 제11조(공중위생영업소의 폐쇄등)1항8조에 의거 「청소년 보호법」을 위반하여 그 사실을 통보받은 경우, 6개월 이내의 기간을 정하여 영업정지 또는 일부 시설의 사용중지를 명할 수 있지만, 검찰의 기소유예 결정이 있었기에 영업주의 의견을 수용하여 「공중위생법 시행령 제7조의2 〔별표1〕과징금의 산정기준」에 따라 영업정지 1월(30일)에 갈음하는 과징금 222만원을 부과하고자 함.
3rd row2022.9.13. 모텔서래 이성혼숙 행정처분 승계건
4th row2021년 공중위생교육 미수료
5th row관할 세무서 사업자등록 말소되었으나 공중위생영업 폐업신고 하지 않음.
ValueCountFrequency (%)
위생교육 623
 
9.7%
미수료 441
 
6.9%
위생교육미필 153
 
2.4%
미필 150
 
2.3%
2006년도 134
 
2.1%
기존영업자 105
 
1.6%
사업자등록 79
 
1.2%
수질기준 77
 
1.2%
때 75
 
1.2%
2008년도 74
 
1.2%
Other values (813) 4491
70.1%
2024-05-18T10:05:55.598701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4761
 
15.7%
0 1235
 
4.1%
위 1143
 
3.8%
2 957
 
3.2%
미 946
 
3.1%
생 920
 
3.0%
수 850
 
2.8%
교 846
 
2.8%
육 845
 
2.8%
1 610
 
2.0%
Other values (340) 17174
56.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20818
68.7%
Space Separator 4761
 
15.7%
Decimal Number 3688
 
12.2%
Other Punctuation 361
 
1.2%
Close Punctuation 251
 
0.8%
Open Punctuation 251
 
0.8%
Uppercase Letter 108
 
0.4%
Dash Punctuation 42
 
0.1%
Math Symbol 5
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
위 1143
 
5.5%
미 946
 
4.5%
생 920
 
4.4%
수 850
 
4.1%
교 846
 
4.1%
육 845
 
4.1%
년 596
 
2.9%
업 574
 
2.8%
료 513
 
2.5%
기 494
 
2.4%
Other values (301) 13091
62.9%
Decimal Number
ValueCountFrequency (%)
0 1235
33.5%
2 957
25.9%
1 610
16.5%
6 293
 
7.9%
8 163
 
4.4%
7 153
 
4.1%
9 134
 
3.6%
5 62
 
1.7%
3 56
 
1.5%
4 25
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
L 30
27.8%
C 24
22.2%
F 22
20.4%
U 18
16.7%
M 8
 
7.4%
T 3
 
2.8%
N 2
 
1.9%
V 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
. 128
35.5%
, 105
29.1%
: 80
22.2%
/ 34
 
9.4%
? 8
 
2.2%
？ 4
 
1.1%
' 2
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 238
94.8%
」 8
 
3.2%
] 4
 
1.6%
〕 1
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 238
94.8%
「 8
 
3.2%
[ 4
 
1.6%
〔 1
 
0.4%
Math Symbol
ValueCountFrequency (%)
↑ 4
80.0%
~ 1
 
20.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
50.0%
l 1
50.0%
Space Separator
ValueCountFrequency (%)
4761
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20818
68.7%
Common 9359
30.9%
Latin 110
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
위 1143
 
5.5%
미 946
 
4.5%
생 920
 
4.4%
수 850
 
4.1%
교 846
 
4.1%
육 845
 
4.1%
년 596
 
2.9%
업 574
 
2.8%
료 513
 
2.5%
기 494
 
2.4%
Other values (301) 13091
62.9%
Common
ValueCountFrequency (%)
4761
50.9%
0 1235
 
13.2%
2 957
 
10.2%
1 610
 
6.5%
6 293
 
3.1%
) 238
 
2.5%
( 238
 
2.5%
8 163
 
1.7%
7 153
 
1.6%
9 134
 
1.4%
Other values (19) 577
 
6.2%
Latin
ValueCountFrequency (%)
L 30
27.3%
C 24
21.8%
F 22
20.0%
U 18
16.4%
M 8
 
7.3%
T 3
 
2.7%
N 2
 
1.8%
m 1
 
0.9%
l 1
 
0.9%
V 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20818
68.7%
ASCII 9443
31.2%
None 22
 
0.1%
Arrows 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4761
50.4%
0 1235
 
13.1%
2 957
 
10.1%
1 610
 
6.5%
6 293
 
3.1%
) 238
 
2.5%
( 238
 
2.5%
8 163
 
1.7%
7 153
 
1.6%
9 134
 
1.4%
Other values (23) 661
 
7.0%
Hangul
ValueCountFrequency (%)
위 1143
 
5.5%
미 946
 
4.5%
생 920
 
4.4%
수 850
 
4.1%
교 846
 
4.1%
육 845
 
4.1%
년 596
 
2.9%
업 574
 
2.8%
료 513
 
2.5%
기 494
 
2.4%
Other values (301) 13091
62.9%
None
ValueCountFrequency (%)
「 8
36.4%
」 8
36.4%
？ 4
18.2%
〔 1
 
4.5%
〕 1
 
4.5%
Arrows
ValueCountFrequency (%)
↑ 4
100.0%

처분내용
Text

Distinct196
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-05-18T10:05:56.308629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length46
Mean length8.5062612
Min length2

Characters and Unicode

Total characters14265
Distinct characters119
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique108 ?
Unique (%)6.4%

Sample

1st row개선명령
2nd row과징금부과
3rd row영업정지 1개월(기소유예건으로 1/2 감경)
4th row공중위생관리법위반과태료 20만원 부과(위생과-17327(2023.8.4.))(과태료 재판 집행 위탁)
5th row직권말소
ValueCountFrequency (%)
과태료부과 436
16.8%
경고 266
 
10.3%
영업소폐쇄 229
 
8.8%
개선명령 226
 
8.7%
20만원 141
 
5.4%
과태료 138
 
5.3%
부과 111
 
4.3%
및 107
 
4.1%
20%감경 64
 
2.5%
영업정지 55
 
2.1%
Other values (210) 821
31.6%
2024-05-18T10:05:57.998192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 1627
 
11.4%
917
 
6.4%
부 818
 
5.7%
료 799
 
5.6%
태 799
 
5.6%
0 701
 
4.9%
2 558
 
3.9%
원 536
 
3.8%
만 501
 
3.5%
1 375
 
2.6%
Other values (109) 6634
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10199
71.5%
Decimal Number 2221
 
15.6%
Space Separator 917
 
6.4%
Other Punctuation 373
 
2.6%
Open Punctuation 262
 
1.8%
Close Punctuation 261
 
1.8%
Math Symbol 19
 
0.1%
Dash Punctuation 13
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 1627
16.0%
부 818
 
8.0%
료 799
 
7.8%
태 799
 
7.8%
원 536
 
5.3%
만 501
 
4.9%
업 371
 
3.6%
영 366
 
3.6%
경 347
 
3.4%
개 324
 
3.2%
Other values (89) 3711
36.4%
Decimal Number
ValueCountFrequency (%)
0 701
31.6%
2 558
25.1%
1 375
16.9%
6 205
 
9.2%
4 135
 
6.1%
5 95
 
4.3%
3 60
 
2.7%
7 42
 
1.9%
8 25
 
1.1%
9 25
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 264
70.8%
% 65
 
17.4%
, 34
 
9.1%
: 7
 
1.9%
/ 3
 
0.8%
Space Separator
ValueCountFrequency (%)
917
100.0%
Open Punctuation
ValueCountFrequency (%)
( 262
100.0%
Close Punctuation
ValueCountFrequency (%)
) 261
100.0%
Math Symbol
ValueCountFrequency (%)
~ 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10199
71.5%
Common 4066
 
28.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 1627
16.0%
부 818
 
8.0%
료 799
 
7.8%
태 799
 
7.8%
원 536
 
5.3%
만 501
 
4.9%
업 371
 
3.6%
영 366
 
3.6%
경 347
 
3.4%
개 324
 
3.2%
Other values (89) 3711
36.4%
Common
ValueCountFrequency (%)
917
22.6%
0 701
17.2%
2 558
13.7%
1 375
9.2%
. 264
 
6.5%
( 262
 
6.4%
) 261
 
6.4%
6 205
 
5.0%
4 135
 
3.3%
5 95
 
2.3%
Other values (10) 293
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10194
71.5%
ASCII 4066
 
28.5%
Compat Jamo 5
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 1627
16.0%
부 818
 
8.0%
료 799
 
7.8%
태 799
 
7.8%
원 536
 
5.3%
만 501
 
4.9%
업 371
 
3.6%
영 366
 
3.6%
경 347
 
3.4%
개 324
 
3.2%
Other values (88) 3706
36.4%
ASCII
ValueCountFrequency (%)
917
22.6%
0 701
17.2%
2 558
13.7%
1 375
9.2%
. 264
 
6.5%
( 262
 
6.4%
) 261
 
6.4%
6 205
 
5.0%
4 135
 
3.3%
5 95
 
2.3%
Other values (10) 293
 
7.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 5
100.0%

처분기간
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)14.0%
Missing1634
Missing (%)97.4%
Infinite0
Infinite (%)0.0%
Mean11.651163
Minimum0
Maximum29
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size14.9 KiB
2024-05-18T10:05:58.411035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q110
median10
Q315
95-th percentile15
Maximum29
Range29
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.8427151
Coefficient of variation (CV)0.50147056
Kurtosis2.2951211
Mean11.651163
Median Absolute Deviation (MAD)5
Skewness0.72479585
Sum501
Variance34.13732
MonotonicityNot monotonic
2024-05-18T10:05:58.768330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
15 18
 
1.1%
10 13
 
0.8%
5 7
 
0.4%
0 2
 
0.1%
29 2
 
0.1%
8 1
 
0.1%
(Missing) 1634
97.4%
ValueCountFrequency (%)
0 2
 
0.1%
5 7
 
0.4%
8 1
 
0.1%
10 13
0.8%
15 18
1.1%
29 2
 
0.1%
ValueCountFrequency (%)
29 2
 
0.1%
15 18
1.1%
10 13
0.8%
8 1
 
0.1%
5 7
 
0.4%
0 2
 
0.1%

영업장면적(㎡)
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct549
Distinct (%)37.8%
Missing225
Missing (%)13.4%
Infinite0
Infinite (%)0.0%
Mean796.10722
Minimum0
Maximum219192
Zeros77
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size14.9 KiB
2024-05-18T10:05:59.349248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q132.9475
median80.42
Q3276.3
95-th percentile1342.62
Maximum219192
Range219192
Interquartile range (IQR)243.3525

Descriptive statistics

Standard deviation9869.6093
Coefficient of variation (CV)12.397337
Kurtosis422.83692
Mean796.10722
Median Absolute Deviation (MAD)59.98
Skewness20.198943
Sum1155947.7
Variance97409188
MonotonicityNot monotonic
2024-05-18T10:05:59.770080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 77
 
4.6%
33.0 48
 
2.9%
875.91 17
 
1.0%
66.0 17
 
1.0%
26.4 15
 
0.9%
10.0 14
 
0.8%
30.0 14
 
0.8%
99.0 13
 
0.8%
20.0 13
 
0.8%
68.63 12
 
0.7%
Other values (539) 1212
72.3%
(Missing) 225
 
13.4%
ValueCountFrequency (%)
0.0 77
4.6%
1.64 1
 
0.1%
2.0 1
 
0.1%
3.3 4
 
0.2%
5.12 1
 
0.1%
6.0 2
 
0.1%
6.6 4
 
0.2%
6.76 3
 
0.2%
7.0 5
 
0.3%
8.53 1
 
0.1%
ValueCountFrequency (%)
219192.0 2
 
0.1%
188437.0 1
 
0.1%
71193.0 2
 
0.1%
6717.33 1
 
0.1%
5035.0 5
0.3%
3812.82 1
 
0.1%
3760.0 1
 
0.1%
2929.95 1
 
0.1%
2827.0 1
 
0.1%
2600.0 9
0.5%

Interactions

2024-05-18T10:05:30.293563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:05:25.403570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:05:26.449376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:05:27.696111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:05:28.993811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:05:30.558128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:05:25.677597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:05:26.744141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:05:27.972018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:05:29.259325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:05:30.823736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:05:25.889059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:05:26.917567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:05:28.224288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:05:29.527935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:05:31.134865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:05:26.079632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:05:27.176341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:05:28.495037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:05:29.804069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:05:31.698362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:05:26.276497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:05:27.438327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:05:28.744009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:05:30.052821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-18T10:06:00.173754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자업종명업태명지도점검일자위반일자처분기간영업장면적(㎡)
처분일자1.0000.7250.6480.9960.9490.7230.109
업종명0.7251.0000.9420.7380.6610.7060.000
업태명0.6480.9421.0000.6630.7160.7300.263
지도점검일자0.9960.7380.6631.0000.9540.5780.095
위반일자0.9490.6610.7160.9541.0000.5760.166
처분기간0.7230.7060.7300.5780.5761.0000.515
영업장면적(㎡)0.1090.0000.2630.0950.1660.5151.000
2024-05-18T10:06:00.606251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업태명업종명
업태명1.0000.650
업종명0.6501.000
2024-05-18T10:06:00.866579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자지도점검일자위반일자처분기간영업장면적(㎡)업종명업태명
처분일자1.0000.9960.993-0.138-0.2690.3140.311
지도점검일자0.9961.0000.996-0.135-0.2470.3250.324
위반일자0.9930.9961.000-0.137-0.2450.3120.302
처분기간-0.138-0.135-0.1371.000-0.4680.5620.502
영업장면적(㎡)-0.269-0.247-0.245-0.4681.0000.0000.145
업종명0.3140.3250.3120.5620.0001.0000.650
업태명0.3110.3240.3020.5020.1450.6501.000

Missing values

2024-05-18T10:05:32.231374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-18T10:05:32.967781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-05-18T10:05:33.356907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)
03210000202403040019목욕장업공동탕업오방사우나서울특별시 서초구 신반포로45길 14, 우만빌딩 지층 (잠원동)서울특별시 서초구 잠원동 39번지 12호 지층20240206처분확정개선명령법 제11조제1항제4호20240206욕수의 수질기준에 적합하게 욕수를 유지하지 않은 경우(1차) - 위반사항 : 탁도 기준치(1.6NTU) 초과 (적발일: 2024. 1. 15. 검사결과: 8.87NTU)개선명령<NA><NA>
13210000202402210005숙박업(일반)여관업30Month hotel서울특별시 서초구 남부순환로358길 26, 1층, 2층, 3층 (양재동)서울특별시 서초구 양재동 8번지 11호 1층, 2층, 3층20231122처분확정과징금부과「청소년보호법」제58조(벌칙)제5호, 「공중위생관리법」제11조(공중위생영업소의 폐쇄등)1항8조202311222023.11.22. 01:00 신분증 미확인 및 미성년자 남녀 혼숙으로 「청소년 보호법」 제58조(벌칙)5조 혐의가 인정되어「공중위생관리법」 제11조(공중위생영업소의 폐쇄등)1항8조에 의거 「청소년 보호법」을 위반하여 그 사실을 통보받은 경우, 6개월 이내의 기간을 정하여 영업정지 또는 일부 시설의 사용중지를 명할 수 있지만, 검찰의 기소유예 결정이 있었기에 영업주의 의견을 수용하여 「공중위생법 시행령 제7조의2 〔별표1〕과징금의 산정기준」에 따라 영업정지 1월(30일)에 갈음하는 과징금 222만원을 부과하고자 함.과징금부과<NA>246.0
23210000202312180065숙박업(일반)여관업스테이 서래서울특별시 서초구 서래로 43, (반포동)서울특별시 서초구 반포동 94번지 7호 (3~5층?)20231207처분확정영업정지 1개월(기소유예건으로 1/2 감경)법 제11조제1항제8호202209132022.9.13. 모텔서래 이성혼숙 행정처분 승계건영업정지 1개월(기소유예건으로 1/2 감경)<NA>0.0
3321000020230807404세탁업일반세탁업주부세탁서울특별시 서초구 방배로26길 22, 1층 (방배동)서울특별시 서초구 방배동 876번지 41호 1층20220701처분확정공중위생관리법위반과태료 20만원 부과(위생과-17327(2023.8.4.))(과태료 재판 집행 위탁)법 제22조제2항제6호202207012021년 공중위생교육 미수료공중위생관리법위반과태료 20만원 부과(위생과-17327(2023.8.4.))(과태료 재판 집행 위탁)<NA>13.2
43210000202307072020-19-35네일미용업네일아트업블리네일서울특별시 서초구 효령로77길 34, 아크로텔 강남역 2층 203호 (서초동)서울특별시 서초구 서초동 1337번지 2호 -20320230615처분확정직권말소법 제3조3항20230615관할 세무서 사업자등록 말소되었으나 공중위생영업 폐업신고 하지 않음.직권말소<NA>16.5
53210000202307042020-19-1위생관리용역업위생관리용역업(주)모비우스에셋서울특별시 서초구 서초중앙로 209, 해성빌딩 지하1층 221호 (반포동)서울특별시 서초구 반포동 51번지 7호 B221호20230101처분확정공중위생관리법위반과태료 부과 60만원법 제22조제2항제6호202301012022년도 공중위생교육 미수료공중위생관리법위반과태료 부과 60만원<NA>65.0
6321000020230704481위생관리용역업위생관리용역업에이치디에스 주식회사서울특별시 서초구 양재대로11길 36, 416호 (양재동,서울오토갤러리 금관)서울특별시 서초구 양재동 217번지 서울오토갤러리 금관-41620230101처분확정공중위생관리법위반과태료 부과 60만원법 제22조제2항제6호202301012022년도 공중위생교육 미수료공중위생관리법위반과태료 부과 60만원<NA>48.59
7321000020230704527위생관리용역업위생관리용역업주식회사 장풍아도르서울특별시 서초구 강남대로 202, 모산빌딩 4층 (양재동)서울특별시 서초구 양재동 14번지 4호 모산빌딩 4층20230101처분확정공중위생관리법위반과태료 부과 60만원법 제22조제2항제6호202301012022년도 공중위생교육 미수료공중위생관리법위반과태료 부과 60만원<NA>143.11
83210000202307042015-00020위생관리용역업위생관리용역업(주)에스엠비즈서울특별시 서초구 동산로 48, 서희빌딩 5층 504호 (양재동)서울특별시 서초구 양재동 373번지 5호 서희빌딩 5층-50420230101처분확정공중위생관리법위반과태료 부과 60만원법 제22조제2항제6호202301012022년도 공중위생교육 미수료공중위생관리법위반과태료 부과 60만원<NA>67.0
9321000020230704299세탁업일반세탁업트라팰리스크리닝서울특별시 서초구 효령로72길 57, E-B102호 (서초동, 서초트라팰리스)서울특별시 서초구 서초동 1344번지 13호 E-B102호20230101처분확정공중위생관리법위반 과태료 60만원 부과법 제22조제2항제6호202301012022년도 공중위생교육 미수료공중위생관리법위반 과태료 60만원 부과<NA>36.0
시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)
1667321000020030710175이용업일반이용업BMW이용원<NA>서울특별시 서초구 서초동 1572번지 4호20030619처분확정영업정지 및 면허정지(2월)제11조 및 규칙제19조20030619음란행위영업정지 및 면허정지(2월)<NA><NA>
16683210000200305230066숙박업(일반)여관업선화장여관<NA>서울특별시 서초구 방배동 898번지 6호20021125처분확정영업정지공중위생관리법제11조20021125청소년 혼숙(1차)영업정지<NA>0.0
1669321000020030319025이용업일반이용업광성이용원<NA>서울특별시 서초구 방배동 910번지 9호20030207처분확정영업정지제1조 및 규칙 제19조20030207무자격안마행위영업정지<NA>54.94
1670321000020030127193이용업일반이용업르네상스이용원<NA>서울특별시 서초구 서초동 1598번지 3호20021224처분확정영업정지제3조,제11조,시행규칙19조20021224음란.퇴폐행위, 칸막이설치영업정지80.0
1671321000020021231025이용업일반이용업광성이용원<NA>서울특별시 서초구 방배동 910번지 9호20021211처분확정개선명령법제10조 및 규칙제19조20021211칸막이 설치개선명령<NA>54.94
167232100002002090794목욕장업공동탕업오륜사우나<NA>서울특별시 서초구 방배동 450번지 27호 지하20020729처분확정개선명령제10조 및 규칙 제19조20020729발한실의 게시문 미부착개선명령<NA>537.9
16733210000200207120036목욕장업공동탕업트럭터미널대중탕<NA>서울특별시 서초구 양재동 226번지20020614처분확정경고제10조 및 규칙제19조20020614위생불량, 소독미실시경고<NA>177.14
16743210000200206170035숙박업(일반)여관업서초장<NA>서울특별시 서초구 서초동 1338번지 13호20020123처분확정영업정지공중위생관리법제11조20011220윤락행위 장소 제공(1차)영업정지<NA>71193.0
16753210000200203270078목욕장업공동탕업은혜황금목욕탕<NA>서울특별시 서초구 반포동 32번지 2호 지하120020225처분확정개선명령제10조 및 규칙 제19조20020225발한실내 온도계 미비치 욕실 등 미청결개선명령<NA>737.1
16763210000200203270009목욕장업공동탕업터미날탕<NA>서울특별시 서초구 반포동 19번지 4호20020225처분확정개선명령제10조 및 규칙 제19조20020225발한실내 온도계 및 게시문 미비치 목욕장시설 미소독 욕조수 부적합 욕실등 미청결개선명령<NA>754.94

Duplicate rows

Most frequently occurring

시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)# duplicates
44321000020071213165이용업일반이용업그랑프리이용원<NA>서울특별시 서초구 서초동 1716번지 8호 (지하1층)20071101처분확정경고공중위생관리법 제4조 제3항 및 제7항20071101영업신고증 및 면허증 미게시경고<NA><NA>5
45321000020071213165이용업일반이용업그랑프리이용원<NA>서울특별시 서초구 서초동 1716번지 8호 (지하1층)20071101처분확정과태료부과공중위생관리법 제4조 제3항 및 제7항20071101영업신고증 및 면허증 미게시과태료부과<NA><NA>5
95321000020121124138목욕장업공동탕업+찜질시설서비스영업서초스파서울특별시 서초구 서초중앙로31길 6-3, 지하1,2층 (반포동, 삼우빌딩)서울특별시 서초구 반포동 50번지 12호 삼우빌딩 지하1,2층20121015처분확정개선명령공중위생관리법 4조2항20121015목욕장 안 먹는물의 수질기준을 위반한때개선명령<NA>1342.624
23321000020070227100목욕장업공동탕업수정사우나<NA>서울특별시 서초구 반포동 746번지 7호 (지하1층)20061231처분확정경고 및 과태료 부과공중위생관리법 제17조200612312006년도 위생교육미필경고 및 과태료 부과<NA>295.673
24321000020070227100목욕장업공동탕업수정사우나<NA>서울특별시 서초구 반포동 746번지 7호 (지하1층)20061231처분확정과태료부과공중위생관리법 제17조200612312006년도 위생교육미필과태료부과<NA>295.673
25321000020070227104목욕장업공동탕업건강여성전용사우나<NA>서울특별시 서초구 잠원동 42번지 2호 지하1층20061231처분확정경고 및 과태료 20만원공중위생관리법 제17조200612312006년도 위생교육미필경고 및 과태료 20만원<NA>600.03
26321000020070227104목욕장업공동탕업건강여성전용사우나<NA>서울특별시 서초구 잠원동 42번지 2호 지하1층20061231처분확정과태료부과공중위생관리법 제17조200612312006년도 위생교육미필과태료부과<NA>600.03
50321000020080204164세탁업일반세탁업대림세탁소<NA>서울특별시 서초구 우면동 57번지 0호 우면상가 203동20071231처분확정경고공중위생관리법 제22조 제2항 제6호 및 동법 시행규칙 제19조20071231위생교육 미필(1차)경고<NA>635.13
51321000020080204164세탁업일반세탁업대림세탁소<NA>서울특별시 서초구 우면동 57번지 0호 우면상가 203동20071231처분확정과태료부과공중위생관리법 제22조 제2항 제6호 및 동법 시행규칙 제19조20071231위생교육 미필(1차)과태료부과<NA>635.13
58321000020091218012위생관리용역업위생관리용역업(주)영보수경<NA>서울특별시 서초구 반포동 704번지 7호 305호20090109처분확정경고공중위생관리법 제17조, 제11조 및 제22조200901092008년도 위생교육 미필경고<NA>68.633