Overview

Dataset statistics

Number of variables17
Number of observations8661
Missing cells16683
Missing cells (%)11.3%
Duplicate rows250
Duplicate rows (%)2.9%
Total size in memory1.2 MiB
Average record size in memory142.0 B

Variable types

Categorical3
Numeric5
Text9

Dataset

Description시군구코드,처분일자,교부번호,업종명,업태명,업소명,소재지도로명,소재지지번,지도점검일자,행정처분상태,처분명,법적근거,위반일자,위반내용,처분내용,처분기간,영업장면적(㎡)
Author용산구
URLhttps://data.seoul.go.kr/dataList/OA-11226/S/1/datasetView.do

Alerts

시군구코드 has constant value ""Constant
행정처분상태 has constant value ""Constant
Dataset has 250 (2.9%) 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
업종명 is highly imbalanced (58.2%)Imbalance
소재지도로명 has 4828 (55.7%) missing valuesMissing
처분기간 has 7767 (89.7%) missing valuesMissing
영업장면적(㎡) has 4034 (46.6%) missing valuesMissing
위반일자 is highly skewed (γ1 = -79.88963714)Skewed
영업장면적(㎡) is highly skewed (γ1 = 67.63271918)Skewed

Reproduction

Analysis started2024-05-18 01:45:58.628868
Analysis finished2024-05-18 01:46:15.219832
Duration16.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size67.8 KiB
3020000
8661 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3020000
2nd row3020000
3rd row3020000
4th row3020000
5th row3020000

Common Values

ValueCountFrequency (%)
3020000 8661
100.0%

Length

2024-05-18T10:46:15.409644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:46:15.710967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3020000 8661
100.0%

처분일자
Real number (ℝ)

HIGH CORRELATION 

Distinct2599
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20119326
Minimum19961218
Maximum20240419
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size76.3 KiB
2024-05-18T10:46:16.116438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19961218
5-th percentile20030418
Q120070503
median20120813
Q320161123
95-th percentile20211007
Maximum20240419
Range279201
Interquartile range (IQR)90620

Descriptive statistics

Standard deviation58674.69
Coefficient of variation (CV)0.0029163348
Kurtosis-1.0178245
Mean20119326
Median Absolute Deviation (MAD)49895
Skewness0.077888529
Sum1.7425348 × 1011
Variance3.4427193 × 109
MonotonicityDecreasing
2024-05-18T10:46:16.616305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200824 62
 
0.7%
20240229 56
 
0.6%
20160613 53
 
0.6%
20050616 52
 
0.6%
20190513 48
 
0.6%
20130611 38
 
0.4%
20210316 36
 
0.4%
20091104 36
 
0.4%
20190516 35
 
0.4%
20060313 34
 
0.4%
Other values (2589) 8211
94.8%
ValueCountFrequency (%)
19961218 1
< 0.1%
19971208 1
< 0.1%
19980130 1
< 0.1%
19980512 1
< 0.1%
19980515 1
< 0.1%
19981130 1
< 0.1%
19990406 1
< 0.1%
19990414 2
< 0.1%
19990515 1
< 0.1%
19990710 1
< 0.1%
ValueCountFrequency (%)
20240419 3
 
< 0.1%
20240416 1
 
< 0.1%
20240401 1
 
< 0.1%
20240327 1
 
< 0.1%
20240326 2
 
< 0.1%
20240321 11
 
0.1%
20240318 1
 
< 0.1%
20240306 1
 
< 0.1%
20240304 8
 
0.1%
20240229 56
0.6%

교부번호
Text

Distinct4043
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Memory size67.8 KiB
2024-05-18T10:46:17.544131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.32502
Min length1

Characters and Unicode

Total characters89425
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

Unique2382 ?
Unique (%)27.5%

Sample

1st row20200108876
2nd row20200108876
3rd row20200108876
4th row20220037228
5th row20050033504
ValueCountFrequency (%)
20050033237 38
 
0.4%
20200033656 36
 
0.4%
20040033379 29
 
0.3%
19810033056 27
 
0.3%
20110033021 26
 
0.3%
19940033616 26
 
0.3%
19780033013 26
 
0.3%
20120033089 26
 
0.3%
20070033354 24
 
0.3%
20010033590 24
 
0.3%
Other values (4033) 8379
96.7%
2024-05-18T10:46:18.971845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 27835
31.1%
3 19192
21.5%
1 9233
 
10.3%
2 8786
 
9.8%
9 7647
 
8.6%
4 3526
 
3.9%
6 3512
 
3.9%
5 3480
 
3.9%
8 3262
 
3.6%
7 2885
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 89358
99.9%
Dash Punctuation 67
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 27835
31.1%
3 19192
21.5%
1 9233
 
10.3%
2 8786
 
9.8%
9 7647
 
8.6%
4 3526
 
3.9%
6 3512
 
3.9%
5 3480
 
3.9%
8 3262
 
3.7%
7 2885
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 67
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 89425
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 27835
31.1%
3 19192
21.5%
1 9233
 
10.3%
2 8786
 
9.8%
9 7647
 
8.6%
4 3526
 
3.9%
6 3512
 
3.9%
5 3480
 
3.9%
8 3262
 
3.6%
7 2885
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 89425
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 27835
31.1%
3 19192
21.5%
1 9233
 
10.3%
2 8786
 
9.8%
9 7647
 
8.6%
4 3526
 
3.9%
6 3512
 
3.9%
5 3480
 
3.9%
8 3262
 
3.6%
7 2885
 
3.2%

업종명
Categorical

IMBALANCE 

Distinct37
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size67.8 KiB
일반음식점
5867 
단란주점
599 
휴게음식점
 
380
유흥주점영업
 
250
숙박업(일반)
 
196
Other values (32)
1369 

Length

Max length23
Median length5
Mean length5.2410807
Min length3

Unique

Unique5 ?
Unique (%)0.1%

Sample

1st row유통전문판매업
2nd row유통전문판매업
3rd row유통전문판매업
4th row일반음식점
5th row일반음식점

Common Values

ValueCountFrequency (%)
일반음식점 5867
67.7%
단란주점 599
 
6.9%
휴게음식점 380
 
4.4%
유흥주점영업 250
 
2.9%
숙박업(일반) 196
 
2.3%
식품제조가공업 171
 
2.0%
목욕장업 159
 
1.8%
건강기능식품일반판매업 140
 
1.6%
즉석판매제조가공업 140
 
1.6%
제과점영업 112
 
1.3%
Other values (27) 647
 
7.5%

Length

2024-05-18T10:46:19.603647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반음식점 5867
67.3%
단란주점 599
 
6.9%
휴게음식점 380
 
4.4%
유흥주점영업 250
 
2.9%
숙박업(일반 196
 
2.2%
식품제조가공업 171
 
2.0%
목욕장업 159
 
1.8%
건강기능식품일반판매업 140
 
1.6%
즉석판매제조가공업 140
 
1.6%
제과점영업 112
 
1.3%
Other values (24) 708
 
8.1%

업태명
Text

Distinct86
Distinct (%)1.0%
Missing51
Missing (%)0.6%
Memory size67.8 KiB
2024-05-18T10:46:20.093796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length3.6342625
Min length2

Characters and Unicode

Total characters31291
Distinct characters168
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)0.2%

Sample

1st row유통전문판매업
2nd row유통전문판매업
3rd row유통전문판매업
4th row경양식
5th row한식
ValueCountFrequency (%)
한식 2204
25.1%
경양식 1057
12.0%
기타 881
 
10.0%
단란주점 599
 
6.8%
분식 475
 
5.4%
호프/통닭 422
 
4.8%
중국식 254
 
2.9%
일식 220
 
2.5%
식품제조가공업 170
 
1.9%
커피숍 128
 
1.5%
Other values (76) 2371
27.0%
2024-05-18T10:46:21.194725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 4757
 
15.2%
한 2204
 
7.0%
업 1448
 
4.6%
양 1057
 
3.4%
경 1057
 
3.4%
기 926
 
3.0%
점 919
 
2.9%
타 894
 
2.9%
주 731
 
2.3%
/ 622
 
2.0%
Other values (158) 16676
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29860
95.4%
Other Punctuation 675
 
2.2%
Open Punctuation 292
 
0.9%
Close Punctuation 292
 
0.9%
Space Separator 171
 
0.5%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 4757
 
15.9%
한 2204
 
7.4%
업 1448
 
4.8%
양 1057
 
3.5%
경 1057
 
3.5%
기 926
 
3.1%
점 919
 
3.1%
타 894
 
3.0%
주 731
 
2.4%
단 618
 
2.1%
Other values (151) 15249
51.1%
Other Punctuation
ValueCountFrequency (%)
/ 622
92.1%
, 50
 
7.4%
. 3
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 292
100.0%
Close Punctuation
ValueCountFrequency (%)
) 292
100.0%
Space Separator
ValueCountFrequency (%)
171
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29860
95.4%
Common 1431
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 4757
 
15.9%
한 2204
 
7.4%
업 1448
 
4.8%
양 1057
 
3.5%
경 1057
 
3.5%
기 926
 
3.1%
점 919
 
3.1%
타 894
 
3.0%
주 731
 
2.4%
단 618
 
2.1%
Other values (151) 15249
51.1%
Common
ValueCountFrequency (%)
/ 622
43.5%
( 292
20.4%
) 292
20.4%
171
 
11.9%
, 50
 
3.5%
. 3
 
0.2%
+ 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29860
95.4%
ASCII 1431
 
4.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 4757
 
15.9%
한 2204
 
7.4%
업 1448
 
4.8%
양 1057
 
3.5%
경 1057
 
3.5%
기 926
 
3.1%
점 919
 
3.1%
타 894
 
3.0%
주 731
 
2.4%
단 618
 
2.1%
Other values (151) 15249
51.1%
ASCII
ValueCountFrequency (%)
/ 622
43.5%
( 292
20.4%
) 292
20.4%
171
 
11.9%
, 50
 
3.5%
. 3
 
0.2%
+ 1
 
0.1%

업소명
Text

Distinct4290
Distinct (%)49.5%
Missing0
Missing (%)0.0%
Memory size67.8 KiB
2024-05-18T10:46:22.140303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length33
Mean length5.3448793
Min length1

Characters and Unicode

Total characters46292
Distinct characters953
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2583 ?
Unique (%)29.8%

Sample

1st row컬러풀솔루션
2nd row컬러풀솔루션
3rd row컬러풀솔루션
4th row엣지서울
5th row미로틱청파
ValueCountFrequency (%)
주식회사 50
 
0.5%
김밥천국 39
 
0.4%
에스비에프앤비 36
 
0.4%
주)경원피앤에프 29
 
0.3%
유니온 27
 
0.3%
보스노래 26
 
0.3%
뱅퀴쉬 26
 
0.3%
해태제과식품주식회사 24
 
0.3%
제이알팝 24
 
0.3%
한양회관 24
 
0.3%
Other values (4606) 9216
96.8%
2024-05-18T10:46:23.865852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 1314
 
2.8%
스 1168
 
2.5%
( 1009
 
2.2%
) 1007
 
2.2%
861
 
1.9%
리 813
 
1.8%
주 705
 
1.5%
식 670
 
1.4%
아 511
 
1.1%
점 465
 
1.0%
Other values (943) 37769
81.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 39490
85.3%
Lowercase Letter 1721
 
3.7%
Uppercase Letter 1601
 
3.5%
Open Punctuation 1009
 
2.2%
Close Punctuation 1007
 
2.2%
Space Separator 861
 
1.9%
Decimal Number 376
 
0.8%
Other Punctuation 126
 
0.3%
Connector Punctuation 45
 
0.1%
Dash Punctuation 45
 
0.1%
Other values (3) 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1314
 
3.3%
스 1168
 
3.0%
리 813
 
2.1%
주 705
 
1.8%
식 670
 
1.7%
아 511
 
1.3%
점 465
 
1.2%
라 441
 
1.1%
당 416
 
1.1%
한 412
 
1.0%
Other values (863) 32575
82.5%
Uppercase Letter
ValueCountFrequency (%)
A 144
 
9.0%
B 128
 
8.0%
O 120
 
7.5%
L 109
 
6.8%
R 108
 
6.7%
T 97
 
6.1%
S 94
 
5.9%
E 81
 
5.1%
J 75
 
4.7%
M 68
 
4.2%
Other values (16) 577
36.0%
Lowercase Letter
ValueCountFrequency (%)
e 252
14.6%
o 174
10.1%
a 155
 
9.0%
s 127
 
7.4%
l 116
 
6.7%
n 109
 
6.3%
i 105
 
6.1%
r 96
 
5.6%
t 87
 
5.1%
c 77
 
4.5%
Other values (15) 423
24.6%
Decimal Number
ValueCountFrequency (%)
2 95
25.3%
1 55
14.6%
0 47
12.5%
5 46
12.2%
4 32
 
8.5%
8 30
 
8.0%
9 25
 
6.6%
3 18
 
4.8%
7 15
 
4.0%
6 13
 
3.5%
Other Punctuation
ValueCountFrequency (%)
& 52
41.3%
. 33
26.2%
, 13
 
10.3%
' 13
 
10.3%
？ 7
 
5.6%
! 4
 
3.2%
; 1
 
0.8%
? 1
 
0.8%
# 1
 
0.8%
/ 1
 
0.8%
Letter Number
ValueCountFrequency (%)
Ⅱ 7
87.5%
Ⅰ 1
 
12.5%
Open Punctuation
ValueCountFrequency (%)
( 1009
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1007
100.0%
Space Separator
ValueCountFrequency (%)
861
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 45
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 39469
85.3%
Common 3472
 
7.5%
Latin 3330
 
7.2%
Han 21
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1314
 
3.3%
스 1168
 
3.0%
리 813
 
2.1%
주 705
 
1.8%
식 670
 
1.7%
아 511
 
1.3%
점 465
 
1.2%
라 441
 
1.1%
당 416
 
1.1%
한 412
 
1.0%
Other values (854) 32554
82.5%
Latin
ValueCountFrequency (%)
e 252
 
7.6%
o 174
 
5.2%
a 155
 
4.7%
A 144
 
4.3%
B 128
 
3.8%
s 127
 
3.8%
O 120
 
3.6%
l 116
 
3.5%
n 109
 
3.3%
L 109
 
3.3%
Other values (43) 1896
56.9%
Common
ValueCountFrequency (%)
( 1009
29.1%
) 1007
29.0%
861
24.8%
2 95
 
2.7%
1 55
 
1.6%
& 52
 
1.5%
0 47
 
1.4%
5 46
 
1.3%
_ 45
 
1.3%
- 45
 
1.3%
Other values (17) 210
 
6.0%
Han
ValueCountFrequency (%)
鳥 4
19.0%
死 4
19.0%
不 4
19.0%
秀 3
14.3%
森 2
9.5%
熙 1
 
4.8%
春 1
 
4.8%
秋 1
 
4.8%
承 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 39469
85.3%
ASCII 6787
 
14.7%
CJK 21
 
< 0.1%
Number Forms 8
 
< 0.1%
None 7
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 1314
 
3.3%
스 1168
 
3.0%
리 813
 
2.1%
주 705
 
1.8%
식 670
 
1.7%
아 511
 
1.3%
점 465
 
1.2%
라 441
 
1.1%
당 416
 
1.1%
한 412
 
1.0%
Other values (854) 32554
82.5%
ASCII
ValueCountFrequency (%)
( 1009
 
14.9%
) 1007
 
14.8%
861
 
12.7%
e 252
 
3.7%
o 174
 
2.6%
a 155
 
2.3%
A 144
 
2.1%
B 128
 
1.9%
s 127
 
1.9%
O 120
 
1.8%
Other values (67) 2810
41.4%
None
ValueCountFrequency (%)
？ 7
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 7
87.5%
Ⅰ 1
 
12.5%
CJK
ValueCountFrequency (%)
鳥 4
19.0%
死 4
19.0%
不 4
19.0%
秀 3
14.3%
森 2
9.5%
熙 1
 
4.8%
春 1
 
4.8%
秋 1
 
4.8%
承 1
 
4.8%

소재지도로명
Text

MISSING 

Distinct1926
Distinct (%)50.2%
Missing4828
Missing (%)55.7%
Memory size67.8 KiB
2024-05-18T10:46:24.729884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length53
Mean length34.323245
Min length23

Characters and Unicode

Total characters131561
Distinct characters315
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

Unique1148 ?
Unique (%)30.0%

Sample

1st row서울특별시 용산구 청파로57길 28-3, 3층 301(C17실)호 (청파동1가)
2nd row서울특별시 용산구 청파로57길 28-3, 3층 301(C17실)호 (청파동1가)
3rd row서울특별시 용산구 청파로57길 28-3, 3층 301(C17실)호 (청파동1가)
4th row서울특별시 용산구 보광로59길 29, 지하1층 (이태원동)
5th row서울특별시 용산구 청파로47가길 7-4, (청파동3가, 114-4 지상1층)
ValueCountFrequency (%)
서울특별시 3833
 
16.6%
용산구 3833
 
16.6%
이태원동 784
 
3.4%
지상1층 486
 
2.1%
1층 445
 
1.9%
한남동 423
 
1.8%
이태원로 269
 
1.2%
지하1층 265
 
1.2%
한강대로 222
 
1.0%
청파로 156
 
0.7%
Other values (1826) 12308
53.5%
2024-05-18T10:46:26.302457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19193
 
14.6%
, 6362
 
4.8%
1 6333
 
4.8%
) 4827
 
3.7%
( 4827
 
3.7%
로 4602
 
3.5%
용 4097
 
3.1%
서 4069
 
3.1%
산 4061
 
3.1%
2 3956
 
3.0%
Other values (305) 69234
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 72507
55.1%
Decimal Number 22299
 
16.9%
Space Separator 19193
 
14.6%
Other Punctuation 6388
 
4.9%
Close Punctuation 4827
 
3.7%
Open Punctuation 4827
 
3.7%
Dash Punctuation 1367
 
1.0%
Uppercase Letter 128
 
0.1%
Math Symbol 17
 
< 0.1%
Lowercase Letter 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 4602
 
6.3%
용 4097
 
5.7%
서 4069
 
5.6%
산 4061
 
5.6%
시 3868
 
5.3%
울 3855
 
5.3%
별 3845
 
5.3%
구 3836
 
5.3%
특 3833
 
5.3%
동 3404
 
4.7%
Other values (269) 33037
45.6%
Uppercase Letter
ValueCountFrequency (%)
B 56
43.8%
C 25
19.5%
D 13
 
10.2%
A 9
 
7.0%
S 6
 
4.7%
K 6
 
4.7%
L 5
 
3.9%
T 2
 
1.6%
J 2
 
1.6%
E 1
 
0.8%
Other values (3) 3
 
2.3%
Decimal Number
ValueCountFrequency (%)
1 6333
28.4%
2 3956
17.7%
3 2450
 
11.0%
4 2083
 
9.3%
0 1579
 
7.1%
5 1387
 
6.2%
6 1313
 
5.9%
7 1276
 
5.7%
8 1021
 
4.6%
9 901
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 6362
99.6%
. 20
 
0.3%
/ 5
 
0.1%
@ 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
b 3
37.5%
e 2
25.0%
c 2
25.0%
s 1
 
12.5%
Space Separator
ValueCountFrequency (%)
19193
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4827
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4827
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1367
100.0%
Math Symbol
ValueCountFrequency (%)
~ 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 72507
55.1%
Common 58918
44.8%
Latin 136
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 4602
 
6.3%
용 4097
 
5.7%
서 4069
 
5.6%
산 4061
 
5.6%
시 3868
 
5.3%
울 3855
 
5.3%
별 3845
 
5.3%
구 3836
 
5.3%
특 3833
 
5.3%
동 3404
 
4.7%
Other values (269) 33037
45.6%
Common
ValueCountFrequency (%)
19193
32.6%
, 6362
 
10.8%
1 6333
 
10.7%
) 4827
 
8.2%
( 4827
 
8.2%
2 3956
 
6.7%
3 2450
 
4.2%
4 2083
 
3.5%
0 1579
 
2.7%
5 1387
 
2.4%
Other values (9) 5921
 
10.0%
Latin
ValueCountFrequency (%)
B 56
41.2%
C 25
18.4%
D 13
 
9.6%
A 9
 
6.6%
S 6
 
4.4%
K 6
 
4.4%
L 5
 
3.7%
b 3
 
2.2%
e 2
 
1.5%
T 2
 
1.5%
Other values (7) 9
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 72507
55.1%
ASCII 59054
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19193
32.5%
, 6362
 
10.8%
1 6333
 
10.7%
) 4827
 
8.2%
( 4827
 
8.2%
2 3956
 
6.7%
3 2450
 
4.1%
4 2083
 
3.5%
0 1579
 
2.7%
5 1387
 
2.3%
Other values (26) 6057
 
10.3%
Hangul
ValueCountFrequency (%)
로 4602
 
6.3%
용 4097
 
5.7%
서 4069
 
5.6%
산 4061
 
5.6%
시 3868
 
5.3%
울 3855
 
5.3%
별 3845
 
5.3%
구 3836
 
5.3%
특 3833
 
5.3%
동 3404
 
4.7%
Other values (269) 33037
45.6%

소재지지번
Text

Distinct4072
Distinct (%)47.0%
Missing1
Missing (%)< 0.1%
Memory size67.8 KiB
2024-05-18T10:46:27.447664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length50
Mean length30.355658
Min length20

Characters and Unicode

Total characters262880
Distinct characters332
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

Unique2319 ?
Unique (%)26.8%

Sample

1st row서울특별시 용산구 청파동1가 100번지 37호
2nd row서울특별시 용산구 청파동1가 100번지 37호
3rd row서울특별시 용산구 청파동1가 100번지 37호
4th row서울특별시 용산구 이태원동 74번지 1호
5th row서울특별시 용산구 청파동3가 114번지 4호 지상1층
ValueCountFrequency (%)
서울특별시 8660
 
17.4%
용산구 8660
 
17.4%
지상1층 2036
 
4.1%
이태원동 1915
 
3.9%
한남동 1438
 
2.9%
1호 979
 
2.0%
지하1층 789
 
1.6%
한강로2가 750
 
1.5%
2호 574
 
1.2%
3호 530
 
1.1%
Other values (1644) 23355
47.0%
2024-05-18T10:46:29.584027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
61281
23.3%
지 13540
 
5.2%
1 12545
 
4.8%
용 9199
 
3.5%
산 9103
 
3.5%
서 8882
 
3.4%
호 8808
 
3.4%
시 8711
 
3.3%
울 8682
 
3.3%
별 8674
 
3.3%
Other values (322) 113455
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 146045
55.6%
Space Separator 61281
23.3%
Decimal Number 46834
 
17.8%
Close Punctuation 3717
 
1.4%
Open Punctuation 3716
 
1.4%
Other Punctuation 747
 
0.3%
Dash Punctuation 330
 
0.1%
Uppercase Letter 188
 
0.1%
Lowercase Letter 13
 
< 0.1%
Math Symbol 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 13540
 
9.3%
용 9199
 
6.3%
산 9103
 
6.2%
서 8882
 
6.1%
호 8808
 
6.0%
시 8711
 
6.0%
울 8682
 
5.9%
별 8674
 
5.9%
번 8670
 
5.9%
구 8670
 
5.9%
Other values (283) 53106
36.4%
Uppercase Letter
ValueCountFrequency (%)
B 67
35.6%
A 34
18.1%
C 29
15.4%
D 16
 
8.5%
K 9
 
4.8%
S 9
 
4.8%
T 6
 
3.2%
L 6
 
3.2%
P 3
 
1.6%
X 2
 
1.1%
Other values (5) 7
 
3.7%
Decimal Number
ValueCountFrequency (%)
1 12545
26.8%
2 8129
17.4%
3 6047
12.9%
6 3655
 
7.8%
4 3584
 
7.7%
0 2920
 
6.2%
5 2814
 
6.0%
7 2582
 
5.5%
9 2393
 
5.1%
8 2165
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
c 6
46.2%
e 4
30.8%
a 1
 
7.7%
b 1
 
7.7%
s 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 645
86.3%
. 89
 
11.9%
/ 7
 
0.9%
@ 6
 
0.8%
Space Separator
ValueCountFrequency (%)
61281
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3717
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3716
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 330
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 146045
55.6%
Common 116634
44.4%
Latin 201
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 13540
 
9.3%
용 9199
 
6.3%
산 9103
 
6.2%
서 8882
 
6.1%
호 8808
 
6.0%
시 8711
 
6.0%
울 8682
 
5.9%
별 8674
 
5.9%
번 8670
 
5.9%
구 8670
 
5.9%
Other values (283) 53106
36.4%
Latin
ValueCountFrequency (%)
B 67
33.3%
A 34
16.9%
C 29
14.4%
D 16
 
8.0%
K 9
 
4.5%
S 9
 
4.5%
T 6
 
3.0%
L 6
 
3.0%
c 6
 
3.0%
e 4
 
2.0%
Other values (10) 15
 
7.5%
Common
ValueCountFrequency (%)
61281
52.5%
1 12545
 
10.8%
2 8129
 
7.0%
3 6047
 
5.2%
) 3717
 
3.2%
( 3716
 
3.2%
6 3655
 
3.1%
4 3584
 
3.1%
0 2920
 
2.5%
5 2814
 
2.4%
Other values (9) 8226
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 146045
55.6%
ASCII 116835
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
61281
52.5%
1 12545
 
10.7%
2 8129
 
7.0%
3 6047
 
5.2%
) 3717
 
3.2%
( 3716
 
3.2%
6 3655
 
3.1%
4 3584
 
3.1%
0 2920
 
2.5%
5 2814
 
2.4%
Other values (29) 8427
 
7.2%
Hangul
ValueCountFrequency (%)
지 13540
 
9.3%
용 9199
 
6.3%
산 9103
 
6.2%
서 8882
 
6.1%
호 8808
 
6.0%
시 8711
 
6.0%
울 8682
 
5.9%
별 8674
 
5.9%
번 8670
 
5.9%
구 8670
 
5.9%
Other values (283) 53106
36.4%

지도점검일자
Real number (ℝ)

HIGH CORRELATION 

Distinct2668
Distinct (%)30.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20118167
Minimum19961218
Maximum20240314
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size76.3 KiB
2024-05-18T10:46:30.277214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19961218
5-th percentile20030310
Q120070410
median20120619
Q320161010
95-th percentile20210903
Maximum20240314
Range279096
Interquartile range (IQR)90600

Descriptive statistics

Standard deviation58786.276
Coefficient of variation (CV)0.0029220493
Kurtosis-1.0199528
Mean20118167
Median Absolute Deviation (MAD)49911
Skewness0.079721217
Sum1.7424344 × 1011
Variance3.4558262 × 109
MonotonicityNot monotonic
2024-05-18T10:46:30.814962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190212 67
 
0.8%
20160324 58
 
0.7%
20050616 55
 
0.6%
20200723 51
 
0.6%
20090910 49
 
0.6%
20120618 48
 
0.6%
20151029 42
 
0.5%
20170614 39
 
0.5%
20051212 37
 
0.4%
20211021 37
 
0.4%
Other values (2658) 8178
94.4%
ValueCountFrequency (%)
19961218 1
< 0.1%
19971208 1
< 0.1%
19980130 1
< 0.1%
19980512 1
< 0.1%
19980515 2
< 0.1%
19981130 1
< 0.1%
19990406 1
< 0.1%
19990414 2
< 0.1%
19990710 1
< 0.1%
19990823 2
< 0.1%
ValueCountFrequency (%)
20240314 1
 
< 0.1%
20240306 2
 
< 0.1%
20240304 1
 
< 0.1%
20240229 1
 
< 0.1%
20240228 1
 
< 0.1%
20240221 1
 
< 0.1%
20240216 5
0.1%
20240202 3
 
< 0.1%
20240201 1
 
< 0.1%
20240130 8
0.1%

행정처분상태
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size67.8 KiB
처분확정
8661 

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 8661
100.0%

Length

2024-05-18T10:46:31.213343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:46:31.506899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
처분확정 8661
100.0%

처분명
Text

Distinct705
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size67.8 KiB
2024-05-18T10:46:32.150659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length55
Mean length7.3641612
Min length2

Characters and Unicode

Total characters63781
Distinct characters174
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique373 ?
Unique (%)4.3%

Sample

1st row과징금부과
2nd row과징금부과
3rd row과징금부과
4th row영업정지
5th row과태료부과
ValueCountFrequency (%)
시정명령 1528
 
13.1%
과태료부과 1366
 
11.7%
영업소폐쇄 1113
 
9.5%
영업정지 880
 
7.5%
부과 674
 
5.8%
시설개수명령 521
 
4.5%
과태료 473
 
4.0%
과징금부과 301
 
2.6%
시정명령(즉시 209
 
1.8%
과태료20만원부과 199
 
1.7%
Other values (678) 4424
37.9%
2024-05-18T10:46:33.511429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 7272
 
11.4%
부 3743
 
5.9%
정 3142
 
4.9%
료 3035
 
4.8%
태 3033
 
4.8%
3030
 
4.8%
업 2669
 
4.2%
영 2608
 
4.1%
시 2578
 
4.0%
명 2491
 
3.9%
Other values (164) 30180
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 51153
80.2%
Decimal Number 7198
 
11.3%
Space Separator 3030
 
4.8%
Open Punctuation 922
 
1.4%
Close Punctuation 921
 
1.4%
Other Punctuation 496
 
0.8%
Math Symbol 36
 
0.1%
Dash Punctuation 24
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 7272
14.2%
부 3743
 
7.3%
정 3142
 
6.1%
료 3035
 
5.9%
태 3033
 
5.9%
업 2669
 
5.2%
영 2608
 
5.1%
시 2578
 
5.0%
명 2491
 
4.9%
령 2483
 
4.9%
Other values (141) 18099
35.4%
Decimal Number
ValueCountFrequency (%)
0 2413
33.5%
2 1174
16.3%
1 998
13.9%
4 662
 
9.2%
5 586
 
8.1%
3 531
 
7.4%
6 348
 
4.8%
7 252
 
3.5%
8 148
 
2.1%
9 86
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 307
61.9%
, 156
31.5%
: 21
 
4.2%
/ 11
 
2.2%
% 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 28
77.8%
→ 7
 
19.4%
= 1
 
2.8%
Space Separator
ValueCountFrequency (%)
3030
100.0%
Open Punctuation
ValueCountFrequency (%)
( 922
100.0%
Close Punctuation
ValueCountFrequency (%)
) 921
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Lowercase Letter
ValueCountFrequency (%)
x 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 51153
80.2%
Common 12627
 
19.8%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 7272
14.2%
부 3743
 
7.3%
정 3142
 
6.1%
료 3035
 
5.9%
태 3033
 
5.9%
업 2669
 
5.2%
영 2608
 
5.1%
시 2578
 
5.0%
명 2491
 
4.9%
령 2483
 
4.9%
Other values (141) 18099
35.4%
Common
ValueCountFrequency (%)
3030
24.0%
0 2413
19.1%
2 1174
 
9.3%
1 998
 
7.9%
( 922
 
7.3%
) 921
 
7.3%
4 662
 
5.2%
5 586
 
4.6%
3 531
 
4.2%
6 348
 
2.8%
Other values (12) 1042
 
8.3%
Latin
ValueCountFrequency (%)
x 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 51094
80.1%
ASCII 12621
 
19.8%
Compat Jamo 59
 
0.1%
Arrows 7
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 7272
14.2%
부 3743
 
7.3%
정 3142
 
6.1%
료 3035
 
5.9%
태 3033
 
5.9%
업 2669
 
5.2%
영 2608
 
5.1%
시 2578
 
5.0%
명 2491
 
4.9%
령 2483
 
4.9%
Other values (140) 18040
35.3%
ASCII
ValueCountFrequency (%)
3030
24.0%
0 2413
19.1%
2 1174
 
9.3%
1 998
 
7.9%
( 922
 
7.3%
) 921
 
7.3%
4 662
 
5.2%
5 586
 
4.6%
3 531
 
4.2%
6 348
 
2.8%
Other values (12) 1036
 
8.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 59
100.0%
Arrows
ValueCountFrequency (%)
→ 7
100.0%

법적근거
Text

Distinct766
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size67.8 KiB
2024-05-18T10:46:34.304438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length48
Mean length13.544163
Min length1

Characters and Unicode

Total characters117306
Distinct characters143
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

Unique355 ?
Unique (%)4.1%

Sample

1st row법 제14조부터 제17조까지
2nd row법 제14조부터 제17조까지
3rd row법 제14조부터 제17조까지
4th row법 제71조 및 법 제75조
5th row법 제101조제4항1호
ValueCountFrequency (%)
식품위생법 4785
19.0%
법 4705
18.6%
및 1931
 
7.7%
제75조 1519
 
6.0%
제71조 1227
 
4.9%
제26조 868
 
3.4%
제74조 747
 
3.0%
제101조제2항제1호 608
 
2.4%
제31조 543
 
2.2%
제37조 423
 
1.7%
Other values (495) 7881
31.2%
2024-05-18T10:46:35.881133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16695
14.2%
제 14534
12.4%
조 12011
10.2%
법 11124
 
9.5%
1 6960
 
5.9%
위 5888
 
5.0%
7 5840
 
5.0%
생 5732
 
4.9%
식 5318
 
4.5%
품 5316
 
4.5%
Other values (133) 27888
23.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70949
60.5%
Decimal Number 27944
 
23.8%
Space Separator 16695
 
14.2%
Other Punctuation 1598
 
1.4%
Open Punctuation 56
 
< 0.1%
Close Punctuation 56
 
< 0.1%
Dash Punctuation 7
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 14534
20.5%
조 12011
16.9%
법 11124
15.7%
위 5888
8.3%
생 5732
 
8.1%
식 5318
 
7.5%
품 5316
 
7.5%
항 2268
 
3.2%
및 2073
 
2.9%
호 1003
 
1.4%
Other values (112) 5682
 
8.0%
Decimal Number
ValueCountFrequency (%)
1 6960
24.9%
7 5840
20.9%
2 3671
13.1%
4 2653
 
9.5%
3 2629
 
9.4%
5 1937
 
6.9%
6 1934
 
6.9%
0 1575
 
5.6%
8 395
 
1.4%
9 350
 
1.3%
Other Punctuation
ValueCountFrequency (%)
, 1580
98.9%
. 14
 
0.9%
: 2
 
0.1%
？ 2
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 54
96.4%
[ 2
 
3.6%
Close Punctuation
ValueCountFrequency (%)
) 54
96.4%
] 2
 
3.6%
Space Separator
ValueCountFrequency (%)
16695
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70949
60.5%
Common 46357
39.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 14534
20.5%
조 12011
16.9%
법 11124
15.7%
위 5888
8.3%
생 5732
 
8.1%
식 5318
 
7.5%
품 5316
 
7.5%
항 2268
 
3.2%
및 2073
 
2.9%
호 1003
 
1.4%
Other values (112) 5682
 
8.0%
Common
ValueCountFrequency (%)
16695
36.0%
1 6960
15.0%
7 5840
 
12.6%
2 3671
 
7.9%
4 2653
 
5.7%
3 2629
 
5.7%
5 1937
 
4.2%
6 1934
 
4.2%
, 1580
 
3.4%
0 1575
 
3.4%
Other values (11) 883
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70949
60.5%
ASCII 46355
39.5%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16695
36.0%
1 6960
15.0%
7 5840
 
12.6%
2 3671
 
7.9%
4 2653
 
5.7%
3 2629
 
5.7%
5 1937
 
4.2%
6 1934
 
4.2%
, 1580
 
3.4%
0 1575
 
3.4%
Other values (10) 881
 
1.9%
Hangul
ValueCountFrequency (%)
제 14534
20.5%
조 12011
16.9%
법 11124
15.7%
위 5888
8.3%
생 5732
 
8.1%
식 5318
 
7.5%
품 5316
 
7.5%
항 2268
 
3.2%
및 2073
 
2.9%
호 1003
 
1.4%
Other values (112) 5682
 
8.0%
None
ValueCountFrequency (%)
？ 2
100.0%

위반일자
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct2701
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20116363
Minimum2005101
Maximum22040813
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size76.3 KiB
2024-05-18T10:46:36.537254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2005101
5-th percentile20030310
Q120070410
median20120618
Q320161020
95-th percentile20210904
Maximum22040813
Range20035712
Interquartile range (IQR)90610

Descriptive statistics

Standard deviation204694.38
Coefficient of variation (CV)0.010175516
Kurtosis7079.9526
Mean20116363
Median Absolute Deviation (MAD)49905
Skewness-79.889637
Sum1.7422782 × 1011
Variance4.1899791 × 1010
MonotonicityNot monotonic
2024-05-18T10:46:37.226761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160101 112
 
1.3%
20190212 66
 
0.8%
20160302 64
 
0.7%
20240102 57
 
0.7%
20050616 55
 
0.6%
20200723 51
 
0.6%
20120618 47
 
0.5%
20090910 47
 
0.5%
20051212 37
 
0.4%
20081110 37
 
0.4%
Other values (2691) 8088
93.4%
ValueCountFrequency (%)
2005101 1
< 0.1%
19961218 1
< 0.1%
19971208 1
< 0.1%
19980130 1
< 0.1%
19980512 1
< 0.1%
19980515 2
< 0.1%
19981130 1
< 0.1%
19990406 1
< 0.1%
19990414 2
< 0.1%
19990710 1
< 0.1%
ValueCountFrequency (%)
22040813 1
 
< 0.1%
21110708 1
 
< 0.1%
20510123 1
 
< 0.1%
20240314 1
 
< 0.1%
20240306 2
 
< 0.1%
20240305 1
 
< 0.1%
20240228 1
 
< 0.1%
20240221 1
 
< 0.1%
20240216 5
0.1%
20240202 3
< 0.1%

위반내용
Text

Distinct3399
Distinct (%)39.3%
Missing2
Missing (%)< 0.1%
Memory size67.8 KiB
2024-05-18T10:46:37.962440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length491
Median length135
Mean length19.435732
Min length1

Characters and Unicode

Total characters168294
Distinct characters683
Distinct categories14 ?
Distinct scripts3 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2151 ?
Unique (%)24.8%

Sample

1st row부당한 표시 또는 광고 행위 금지 위반(1차) - 식품 등의 표시광고에 관한 법률 제8조제1항제5호에 따라 체험기를 이용한 소비자를 기만하는 표시 또는 광고 게시 - 컬러풀솔루션 자사몰에서 식품(가벼운 민들레)을 판매하면서, 상세페이지에 부당한 광고 내용이 있는 구매후기 일부를 캡처하여 광고물 게시
2nd row부당한 표시 또는 광고 행위 금지 위반(1차) - 식품 등의 표시광고에 관한 법률 제8조제1항제5호에 따라 체험기를 이용한 소비자를 기만하는 표시 또는 광고 게시 - 컬러풀솔루션 자사몰에서 식품(가벼운 민들레)을 판매하면서, 상세페이지에 부당한 광고 내용이 있는 구매후기 일부를 캡처하여 광고물 게시
3rd row부당한 표시 또는 광고 행위 금지 위반(1차) - 식품 등의 표시광고에 관한 법률 제8조제1항제5호에 따라 체험기를 이용한 소비자를 기만하는 표시 또는 광고 게시 - 컬러풀솔루션 자사몰에서 식품(가벼운 민들레)을 판매하면서, 상세페이지에 부당한 광고 내용이 있는 구매후기 일부를 캡처하여 광고물 게시
4th row무허가 유흥주점 영업행위(1차)
5th row위생교육 미수료
ValueCountFrequency (%)
1차 672
 
2.1%
위생교육 669
 
2.1%
영업 494
 
1.5%
건강진단 483
 
1.5%
미필 476
 
1.5%
영업시설물 465
 
1.4%
외 464
 
1.4%
신고된 405
 
1.2%
390
 
1.2%
영업장 354
 
1.1%
Other values (4574) 27623
85.0%
2024-05-18T10:46:39.354657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24996
 
14.9%
업 7323
 
4.4%
1 5395
 
3.2%
) 4548
 
2.7%
( 4542
 
2.7%
영 4301
 
2.6%
미 3586
 
2.1%
차 2730
 
1.6%
위 2646
 
1.6%
2 2639
 
1.6%
Other values (673) 105588
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 115312
68.5%
Space Separator 24997
 
14.9%
Decimal Number 13255
 
7.9%
Close Punctuation 4961
 
2.9%
Open Punctuation 4955
 
2.9%
Other Punctuation 3477
 
2.1%
Dash Punctuation 1001
 
0.6%
Uppercase Letter 122
 
0.1%
Lowercase Letter 78
 
< 0.1%
Math Symbol 52
 
< 0.1%
Other values (4) 84
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 7323
 
6.4%
영 4301
 
3.7%
미 3586
 
3.1%
차 2730
 
2.4%
위 2646
 
2.3%
장 2413
 
2.1%
단 2310
 
2.0%
고 2015
 
1.7%
시 1942
 
1.7%
필 1909
 
1.7%
Other values (597) 84137
73.0%
Uppercase Letter
ValueCountFrequency (%)
G 13
 
10.7%
O 13
 
10.7%
E 11
 
9.0%
N 10
 
8.2%
D 9
 
7.4%
B 7
 
5.7%
L 7
 
5.7%
T 6
 
4.9%
A 6
 
4.9%
J 6
 
4.9%
Other values (11) 34
27.9%
Lowercase Letter
ValueCountFrequency (%)
m 19
24.4%
o 14
17.9%
a 10
12.8%
g 10
12.8%
t 7
 
9.0%
b 4
 
5.1%
u 4
 
5.1%
d 3
 
3.8%
c 2
 
2.6%
k 2
 
2.6%
Other values (3) 3
 
3.8%
Other Punctuation
ValueCountFrequency (%)
. 1216
35.0%
/ 838
24.1%
, 654
18.8%
* 414
 
11.9%
: 298
 
8.6%
? 20
 
0.6%
% 18
 
0.5%
※ 9
 
0.3%
？ 7
 
0.2%
! 2
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 5395
40.7%
2 2639
19.9%
0 2138
 
16.1%
3 784
 
5.9%
5 462
 
3.5%
4 457
 
3.4%
8 420
 
3.2%
9 381
 
2.9%
6 344
 
2.6%
7 235
 
1.8%
Close Punctuation
ValueCountFrequency (%)
) 4548
91.7%
] 408
 
8.2%
】 4
 
0.1%
』 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 4542
91.7%
[ 408
 
8.2%
【 4
 
0.1%
『 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 45
86.5%
→ 4
 
7.7%
+ 3
 
5.8%
Other Symbol
ValueCountFrequency (%)
㎡ 21
91.3%
○ 1
 
4.3%
㈜ 1
 
4.3%
Space Separator
ValueCountFrequency (%)
24996
> 99.9%
　 1
 
< 0.1%
Other Number
ValueCountFrequency (%)
① 2
50.0%
② 2
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1001
100.0%
Control
ValueCountFrequency (%)
38
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 115313
68.5%
Common 52781
31.4%
Latin 200
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 7323
 
6.4%
영 4301
 
3.7%
미 3586
 
3.1%
차 2730
 
2.4%
위 2646
 
2.3%
장 2413
 
2.1%
단 2310
 
2.0%
고 2015
 
1.7%
시 1942
 
1.7%
필 1909
 
1.7%
Other values (598) 84138
73.0%
Common
ValueCountFrequency (%)
24996
47.4%
1 5395
 
10.2%
) 4548
 
8.6%
( 4542
 
8.6%
2 2639
 
5.0%
0 2138
 
4.1%
. 1216
 
2.3%
- 1001
 
1.9%
/ 838
 
1.6%
3 784
 
1.5%
Other values (31) 4684
 
8.9%
Latin
ValueCountFrequency (%)
m 19
 
9.5%
o 14
 
7.0%
G 13
 
6.5%
O 13
 
6.5%
E 11
 
5.5%
a 10
 
5.0%
g 10
 
5.0%
N 10
 
5.0%
D 9
 
4.5%
B 7
 
3.5%
Other values (24) 84
42.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 115304
68.5%
ASCII 52924
31.4%
CJK Compat 21
 
< 0.1%
None 19
 
< 0.1%
Punctuation 9
 
< 0.1%
Compat Jamo 8
 
< 0.1%
Arrows 4
 
< 0.1%
Enclosed Alphanum 4
 
< 0.1%
Geometric Shapes 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24996
47.2%
1 5395
 
10.2%
) 4548
 
8.6%
( 4542
 
8.6%
2 2639
 
5.0%
0 2138
 
4.0%
. 1216
 
2.3%
- 1001
 
1.9%
/ 838
 
1.6%
3 784
 
1.5%
Other values (53) 4827
 
9.1%
Hangul
ValueCountFrequency (%)
업 7323
 
6.4%
영 4301
 
3.7%
미 3586
 
3.1%
차 2730
 
2.4%
위 2646
 
2.3%
장 2413
 
2.1%
단 2310
 
2.0%
고 2015
 
1.7%
시 1942
 
1.7%
필 1909
 
1.7%
Other values (596) 84129
73.0%
CJK Compat
ValueCountFrequency (%)
㎡ 21
100.0%
Punctuation
ValueCountFrequency (%)
※ 9
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 8
100.0%
None
ValueCountFrequency (%)
？ 7
36.8%
【 4
21.1%
】 4
21.1%
』 1
 
5.3%
『 1
 
5.3%
　 1
 
5.3%
㈜ 1
 
5.3%
Arrows
ValueCountFrequency (%)
→ 4
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
① 2
50.0%
② 2
50.0%
Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

처분내용
Text

Distinct705
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size67.8 KiB
2024-05-18T10:46:39.892083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length55
Mean length7.3641612
Min length2

Characters and Unicode

Total characters63781
Distinct characters174
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique373 ?
Unique (%)4.3%

Sample

1st row과징금부과
2nd row과징금부과
3rd row과징금부과
4th row영업정지
5th row과태료부과
ValueCountFrequency (%)
시정명령 1528
 
13.1%
과태료부과 1366
 
11.7%
영업소폐쇄 1113
 
9.5%
영업정지 880
 
7.5%
부과 674
 
5.8%
시설개수명령 521
 
4.5%
과태료 473
 
4.0%
과징금부과 301
 
2.6%
시정명령(즉시 209
 
1.8%
과태료20만원부과 199
 
1.7%
Other values (678) 4424
37.9%
2024-05-18T10:46:40.858402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 7272
 
11.4%
부 3743
 
5.9%
정 3142
 
4.9%
료 3035
 
4.8%
태 3033
 
4.8%
3030
 
4.8%
업 2669
 
4.2%
영 2608
 
4.1%
시 2578
 
4.0%
명 2491
 
3.9%
Other values (164) 30180
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 51153
80.2%
Decimal Number 7198
 
11.3%
Space Separator 3030
 
4.8%
Open Punctuation 922
 
1.4%
Close Punctuation 921
 
1.4%
Other Punctuation 496
 
0.8%
Math Symbol 36
 
0.1%
Dash Punctuation 24
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 7272
14.2%
부 3743
 
7.3%
정 3142
 
6.1%
료 3035
 
5.9%
태 3033
 
5.9%
업 2669
 
5.2%
영 2608
 
5.1%
시 2578
 
5.0%
명 2491
 
4.9%
령 2483
 
4.9%
Other values (141) 18099
35.4%
Decimal Number
ValueCountFrequency (%)
0 2413
33.5%
2 1174
16.3%
1 998
13.9%
4 662
 
9.2%
5 586
 
8.1%
3 531
 
7.4%
6 348
 
4.8%
7 252
 
3.5%
8 148
 
2.1%
9 86
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 307
61.9%
, 156
31.5%
: 21
 
4.2%
/ 11
 
2.2%
% 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 28
77.8%
→ 7
 
19.4%
= 1
 
2.8%
Space Separator
ValueCountFrequency (%)
3030
100.0%
Open Punctuation
ValueCountFrequency (%)
( 922
100.0%
Close Punctuation
ValueCountFrequency (%)
) 921
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Lowercase Letter
ValueCountFrequency (%)
x 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 51153
80.2%
Common 12627
 
19.8%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 7272
14.2%
부 3743
 
7.3%
정 3142
 
6.1%
료 3035
 
5.9%
태 3033
 
5.9%
업 2669
 
5.2%
영 2608
 
5.1%
시 2578
 
5.0%
명 2491
 
4.9%
령 2483
 
4.9%
Other values (141) 18099
35.4%
Common
ValueCountFrequency (%)
3030
24.0%
0 2413
19.1%
2 1174
 
9.3%
1 998
 
7.9%
( 922
 
7.3%
) 921
 
7.3%
4 662
 
5.2%
5 586
 
4.6%
3 531
 
4.2%
6 348
 
2.8%
Other values (12) 1042
 
8.3%
Latin
ValueCountFrequency (%)
x 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 51094
80.1%
ASCII 12621
 
19.8%
Compat Jamo 59
 
0.1%
Arrows 7
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 7272
14.2%
부 3743
 
7.3%
정 3142
 
6.1%
료 3035
 
5.9%
태 3033
 
5.9%
업 2669
 
5.2%
영 2608
 
5.1%
시 2578
 
5.0%
명 2491
 
4.9%
령 2483
 
4.9%
Other values (140) 18040
35.3%
ASCII
ValueCountFrequency (%)
3030
24.0%
0 2413
19.1%
2 1174
 
9.3%
1 998
 
7.9%
( 922
 
7.3%
) 921
 
7.3%
4 662
 
5.2%
5 586
 
4.6%
3 531
 
4.2%
6 348
 
2.8%
Other values (12) 1036
 
8.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 59
100.0%
Arrows
ValueCountFrequency (%)
→ 7
100.0%

처분기간
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)2.7%
Missing7767
Missing (%)89.7%
Infinite0
Infinite (%)0.0%
Mean11.700224
Minimum0
Maximum40
Zeros19
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size76.3 KiB
2024-05-18T10:46:41.250978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q17
median15
Q315
95-th percentile17
Maximum40
Range40
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.0148335
Coefficient of variation (CV)0.42861006
Kurtosis1.3852244
Mean11.700224
Median Absolute Deviation (MAD)0
Skewness0.20239398
Sum10460
Variance25.148555
MonotonicityNot monotonic
2024-05-18T10:46:41.643404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
15 448
 
5.2%
7 259
 
3.0%
10 56
 
0.6%
5 24
 
0.3%
0 19
 
0.2%
17 14
 
0.2%
20 14
 
0.2%
2 11
 
0.1%
3 9
 
0.1%
30 5
 
0.1%
Other values (14) 35
 
0.4%
(Missing) 7767
89.7%
ValueCountFrequency (%)
0 19
 
0.2%
1 1
 
< 0.1%
2 11
 
0.1%
3 9
 
0.1%
4 4
 
< 0.1%
5 24
 
0.3%
6 3
 
< 0.1%
7 259
3.0%
8 3
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
40 1
 
< 0.1%
30 5
 
0.1%
29 3
 
< 0.1%
27 1
 
< 0.1%
26 1
 
< 0.1%
23 1
 
< 0.1%
22 3
 
< 0.1%
20 14
0.2%
18 4
 
< 0.1%
17 14
0.2%

영업장면적(㎡)
Real number (ℝ)

MISSING  SKEWED 

Distinct1863
Distinct (%)40.3%
Missing4034
Missing (%)46.6%
Infinite0
Infinite (%)0.0%
Mean258.40397
Minimum0
Maximum504648
Zeros65
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size76.3 KiB
2024-05-18T10:46:42.138789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15.906
Q136.3
median72.94
Q3144.2
95-th percentile423.45
Maximum504648
Range504648
Interquartile range (IQR)107.9

Descriptive statistics

Standard deviation7431.092
Coefficient of variation (CV)28.757654
Kurtosis4591.2264
Mean258.40397
Median Absolute Deviation (MAD)42.7
Skewness67.632719
Sum1195635.2
Variance55221128
MonotonicityNot monotonic
2024-05-18T10:46:42.608300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 65
 
0.8%
33.0 42
 
0.5%
66.0 38
 
0.4%
132.3 26
 
0.3%
49.5 25
 
0.3%
26.4 23
 
0.3%
310.71 22
 
0.3%
15.0 20
 
0.2%
316.8 19
 
0.2%
388.65 19
 
0.2%
Other values (1853) 4328
50.0%
(Missing) 4034
46.6%
ValueCountFrequency (%)
0.0 65
0.8%
1.65 1
 
< 0.1%
3.0 1
 
< 0.1%
3.3 12
 
0.1%
4.95 2
 
< 0.1%
5.0 2
 
< 0.1%
5.28 1
 
< 0.1%
6.0 2
 
< 0.1%
6.6 2
 
< 0.1%
6.85 1
 
< 0.1%
ValueCountFrequency (%)
504648.0 1
 
< 0.1%
17551.0 1
 
< 0.1%
14577.0 1
 
< 0.1%
11207.0 1
 
< 0.1%
3832.0 14
0.2%
2023.34 8
0.1%
1494.9 7
0.1%
1384.0 1
 
< 0.1%
1312.0 1
 
< 0.1%
1254.0 1
 
< 0.1%

Interactions

2024-05-18T10:46:11.265654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:46:04.344098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:46:05.911840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:46:07.453949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:46:09.240004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:46:11.639638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:46:04.617542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:46:06.264787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:46:07.756703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:46:09.542040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:46:12.038667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:46:04.911418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:46:06.578007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:46:08.154748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:46:09.935276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:46:12.507667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:46:05.215672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:46:06.881593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:46:08.459071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:46:10.297352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:46:12.810345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:46:05.504254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:46:07.174773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:46:08.942830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:46:10.734390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-18T10:46:42.871348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자업종명업태명지도점검일자위반일자처분기간영업장면적(㎡)
처분일자1.0000.4040.5000.9980.9420.3950.000
업종명0.4041.0000.9980.4100.1540.4450.000
업태명0.5000.9981.0000.5040.2120.4810.541
지도점검일자0.9980.4100.5041.0000.9310.4050.000
위반일자0.9420.1540.2120.9311.0000.2640.000
처분기간0.3950.4450.4810.4050.2641.000NaN
영업장면적(㎡)0.0000.0000.5410.0000.000NaN1.000
2024-05-18T10:46:43.283255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자지도점검일자위반일자처분기간영업장면적(㎡)업종명
처분일자1.0000.9990.996-0.271-0.0310.152
지도점검일자0.9991.0000.997-0.275-0.0300.155
위반일자0.9960.9971.000-0.275-0.0300.094
처분기간-0.271-0.275-0.2751.0000.1170.160
영업장면적(㎡)-0.031-0.030-0.0300.1171.0000.000
업종명0.1520.1550.0940.1600.0001.000

Missing values

2024-05-18T10:46:13.352697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-18T10:46:14.284711image/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.
2024-05-18T10:46:14.868555image/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(㎡)
030200002024041920200108876유통전문판매업유통전문판매업컬러풀솔루션서울특별시 용산구 청파로57길 28-3, 3층 301(C17실)호 (청파동1가)서울특별시 용산구 청파동1가 100번지 37호20240108처분확정과징금부과법 제14조부터 제17조까지20240108부당한 표시 또는 광고 행위 금지 위반(1차) - 식품 등의 표시광고에 관한 법률 제8조제1항제5호에 따라 체험기를 이용한 소비자를 기만하는 표시 또는 광고 게시 - 컬러풀솔루션 자사몰에서 식품(가벼운 민들레)을 판매하면서, 상세페이지에 부당한 광고 내용이 있는 구매후기 일부를 캡처하여 광고물 게시과징금부과10<NA>
130200002024041920200108876유통전문판매업유통전문판매업컬러풀솔루션서울특별시 용산구 청파로57길 28-3, 3층 301(C17실)호 (청파동1가)서울특별시 용산구 청파동1가 100번지 37호20240108처분확정과징금부과법 제14조부터 제17조까지20240108부당한 표시 또는 광고 행위 금지 위반(1차) - 식품 등의 표시광고에 관한 법률 제8조제1항제5호에 따라 체험기를 이용한 소비자를 기만하는 표시 또는 광고 게시 - 컬러풀솔루션 자사몰에서 식품(가벼운 민들레)을 판매하면서, 상세페이지에 부당한 광고 내용이 있는 구매후기 일부를 캡처하여 광고물 게시과징금부과106.0
230200002024041920200108876유통전문판매업유통전문판매업컬러풀솔루션서울특별시 용산구 청파로57길 28-3, 3층 301(C17실)호 (청파동1가)서울특별시 용산구 청파동1가 100번지 37호20240108처분확정과징금부과법 제14조부터 제17조까지20240108부당한 표시 또는 광고 행위 금지 위반(1차) - 식품 등의 표시광고에 관한 법률 제8조제1항제5호에 따라 체험기를 이용한 소비자를 기만하는 표시 또는 광고 게시 - 컬러풀솔루션 자사몰에서 식품(가벼운 민들레)을 판매하면서, 상세페이지에 부당한 광고 내용이 있는 구매후기 일부를 캡처하여 광고물 게시과징금부과101.65
330200002024041620220037228일반음식점경양식엣지서울서울특별시 용산구 보광로59길 29, 지하1층 (이태원동)서울특별시 용산구 이태원동 74번지 1호20231124처분확정영업정지법 제71조 및 법 제75조20231124무허가 유흥주점 영업행위(1차)영업정지<NA><NA>
430200002024040120050033504일반음식점한식미로틱청파서울특별시 용산구 청파로47가길 7-4, (청파동3가, 114-4 지상1층)서울특별시 용산구 청파동3가 114번지 4호 지상1층20240119처분확정과태료부과법 제101조제4항1호20240102위생교육 미수료과태료부과<NA>59.76
530200002024032720170033738일반음식점기타청춘124남영1호점서울특별시 용산구 한강대로 271, 1층 (갈월동)서울특별시 용산구 갈월동 92번지 14호 1층20240314처분확정영업소폐쇄법 제71조, 법 제74조 및 법 제75조20240314영업시설의 전부 철거영업소폐쇄<NA><NA>
630200002024032620150033564일반음식점기타삼각카페서울특별시 용산구 새창로 147, 지하1층, 지상1층 (신계동)서울특별시 용산구 신계동 34번지 1호 지하1층, 지상1층20240306처분확정시정명령법 제71조, 법 제74조,법 제75조 및 법 제76조20240306영업신고 면적 외 영업행위시정명령<NA><NA>
730200002024032620150033564일반음식점기타삼각카페서울특별시 용산구 새창로 147, 지하1층, 지상1층 (신계동)서울특별시 용산구 신계동 34번지 1호 지하1층, 지상1층20240306처분확정시정명령법 제71조, 법 제74조,법 제75조 및 법 제76조20240306영업신고 면적 외 영업행위시정명령<NA>71.6
830200002024032119960033542단란주점단란주점시즈카(SIZUKA)서울특별시 용산구 대사관로24길 14, (한남동, 지상2층)서울특별시 용산구 한남동 642번지 1호 지상2층20240221처분확정영업허가ㆍ등록취소법 제75조 3항20240221영업시설물 전부철거(1차)영업허가ㆍ등록취소<NA>70.55
930200002024032119960033541단란주점단란주점오엑스서울특별시 용산구 만리재로 164, (서계동,(지하1층))서울특별시 용산구 서계동 237번지 7호 (지하1층)20240216처분확정영업허가ㆍ등록취소법 제75조 3항20240216영업시설물 전부철거(1차)영업허가ㆍ등록취소<NA>55.44
시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)
865130200001999051519930033492단란주점단란주점체리바<NA>서울특별시 용산구 보광동 260번지 13호19980515처분확정과태료30만원부과식품위생법 제26조19980515건강진단미필과태료30만원부과<NA>63.24
865230200001999041419970033070일반음식점기타OB게이트<NA>서울특별시 용산구 원효로3가 46번지 1호 (지하1층)19990414처분확정과태료50만원부과식품위생법 제26조19990414건강진단미필과태료50만원부과<NA><NA>
865330200001999041419970033070일반음식점기타OB게이트<NA>서울특별시 용산구 원효로3가 46번지 1호 (지하1층)19990414처분확정과태료50만원부과식품위생법 제26조19990414건강진단미필과태료50만원부과<NA><NA>
865430200001999040619800033042일반음식점한식이화장식당<NA>서울특별시 용산구 신계동 33번지 0호19990406처분확정과태료40만원부과식품위생법 제26조19990406건강진단미필과태료40만원부과<NA>66.35
865530200001998113019890033290일반음식점한식1번지감자탕<NA>서울특별시 용산구 한강로2가 316번지 6호19981130처분확정과태료30만원부과식품위생법 제26조19981130건강진단미필과태료30만원부과<NA>22.94
865630200001998051519970033352단란주점단란주점거시기<NA>서울특별시 용산구 한남동 274번지 1호19980515처분확정과태료40만원부과식품위생법 제26조19980515건강진단미필과태료40만원부과<NA>54.05
865730200001998051219900033225일반음식점호프/통닭팔팔식당<NA>서울특별시 용산구 이태원동 72번지 17호19980512처분확정과태료40만원부과식품위생법 제26조19980512건강진단미필과태료40만원부과<NA>22.36
865830200001998013019960033480단란주점단란주점서울노래주점<NA>서울특별시 용산구 동자동 11번지 12호 ,13,1419980130처분확정과태료30만원부과식품위생법 제26조19980130건강진단미필과태료30만원부과<NA>50.53
865930200001997120819930033702단란주점단란주점케이비씨<NA>서울특별시 용산구 청파동3가 24번지 59호 ,27-1119971208처분확정과태료30만원부과식품위생법 제26조19971208건강진단미필과태료30만원부과<NA>50.42
866030200001996121819920033111일반음식점기타굳<NA>서울특별시 용산구 한남동 632번지 3호19961218처분확정과태료40만원부과식품위생법 제26조19961218건강진단미필과태료40만원부과<NA>84.58

Duplicate rows

Most frequently occurring

시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)# duplicates
1830200002003053019980033462집단급식소학교정수기능대학<NA>서울특별시 용산구 보광동 238번지 0호 0000 -000020030514처분확정시정명령식품위생법 제21조20030514조리장 바닥 파손시정명령<NA><NA>3
4830200002006060720040033324유통전문판매업유통전문판매업(주)우리밀<NA>서울특별시 용산구 용문동 32번지 59호 청원빌딩 401호20060525처분확정시정명령11조 표시기준20060525- 우리밀콘칩(칼로리,나트륨 표시 기준 위반) - 발아통밀웨하스(칼로리,나트륨 표시기준 위반) - 발아통밀두부과자(칼로리,단백질, 지방,탄수화물,나트륨 표시기준 위반)시정명령<NA><NA>3
5830200002006111520040033324유통전문판매업유통전문판매업(주)우리밀<NA>서울특별시 용산구 용문동 32번지 59호 청원빌딩 401호20061010처분확정품목판매정지 15일법 10조20061010알레르기 유발 재료(버터) 미표기 1차 위반품목판매정지 15일15<NA>3
6630200002007020619990033734일반음식점정종/대포집/소주방어쭈구리<NA>서울특별시 용산구 이태원동 225번지 67호20061014처분확정영업정지2월식품위생법 제31조20061014청소년 주류제공(1차)영업정지2월<NA>74.883
10330200002009042820030033523식품제조가공업식품제조가공업버디에프씨<NA>서울특별시 용산구 한강로3가 40번지 227호20090325처분확정영업소폐쇄식품위생법 제58조(허가의 취소 등)20090325식품제조가공업 영업시설의 전부를 철거한 때영업소폐쇄<NA><NA>3
11130200002009100719830033008즉석판매제조가공업즉석판매제조가공업중앙기름집<NA>서울특별시 용산구 남영동 29번지 16호20090928처분확정영업정지1월10일,시정명령,해당제품 폐기식품위생법제10조, 제7조20090928표시대상식품에 표시사항 전부 미표시참기름과 옥수수기름 혼합한 가짜 참기름 제조요오드가 초과(5%)리놀렌산 초과(600%)영업정지1월10일,시정명령,해당제품 폐기<NA><NA>3
11230200002009102119980033307식품제조가공업식품제조가공업경복식품<NA>서울특별시 용산구 서계동 99번지 15호20090914처분확정품목제조정지, 해당제품 폐기,시정명령식품위생법 제10조20090914제품 및 내용량 전부 미표시, 유통기한 미표시, 원재료 모두미표시, 기타 표시기준위반(포장재질미표시. 부정불량식품 신고1399미표시)품목제조정지, 해당제품 폐기,시정명령14<NA>3
12030200002010022419980033307식품제조가공업식품제조가공업경복식품<NA>서울특별시 용산구 서계동 99번지 15호20100127처분확정과태료부과식품위생법 제3조20100127위생적 취급 위반과태료부과<NA><NA>3
17930200002014101019980033307식품제조가공업식품제조가공업경복식품서울특별시 용산구 청파로 349, (서계동)서울특별시 용산구 서계동 99번지 15호20140820처분확정과태료부과식품위생법 제37조 제6항 및 같은법 시행규칙 제45조20140820품목제조보고 미이행 (미고보품목 : 적두고물, 녹두고물, 거피팥고물)과태료부과<NA><NA>3
20630200002018092820040029648건강기능식품유통전문판매업건강기능식품유통전문판매업(주)아모레퍼시픽서울특별시 용산구 한강대로 100, 아모레퍼시픽 9층 (한강로2가)서울특별시 용산구 한강로2가 181번지 아모레퍼시픽20180928처분확정시정명령법 제29조20180831영업자 준수사항 위반시정명령<NA>33.03