Overview

Dataset statistics

Number of variables18
Number of observations10000
Missing cells18648
Missing cells (%)10.4%
Duplicate rows236
Duplicate rows (%)2.4%
Total size in memory1.5 MiB
Average record size in memory159.0 B

Variable types

Categorical4
Numeric6
Text8

Dataset

Description시군구코드,처분일자,교부번호,업종명,업태명,업소명,소재지도로명,소재지지번,지도점검일자,행정처분상태,처분명,법적근거,위반일자,위반내용,처분내용,처분기간,영업장면적(㎡),운영형태
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-11066/S/1/datasetView.do

Alerts

시군구코드 has constant value ""Constant
행정처분상태 has constant value ""Constant
Dataset has 236 (2.4%) duplicate rowsDuplicates
운영형태 is highly overall correlated with 위반일자 and 1 other fieldsHigh correlation
업종명 is highly overall correlated with 운영형태High correlation
처분일자 is highly overall correlated with 교부번호 and 2 other fieldsHigh correlation
교부번호 is highly overall correlated with 처분일자 and 2 other fieldsHigh correlation
지도점검일자 is highly overall correlated with 처분일자 and 2 other fieldsHigh correlation
위반일자 is highly overall correlated with 처분일자 and 3 other fieldsHigh correlation
업종명 is highly imbalanced (51.2%)Imbalance
운영형태 is highly imbalanced (97.2%)Imbalance
소재지도로명 has 5962 (59.6%) missing valuesMissing
처분기간 has 8958 (89.6%) missing valuesMissing
영업장면적(㎡) has 3624 (36.2%) missing valuesMissing
위반일자 is highly skewed (γ1 = -81.53857641)Skewed

Reproduction

Analysis started2024-05-18 02:02:56.922240
Analysis finished2024-05-18 02:03:18.715791
Duration21.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3210000
10000 

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 10000
100.0%

Length

2024-05-18T11:03:18.982454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:03:19.291512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 10000
100.0%

처분일자
Real number (ℝ)

HIGH CORRELATION 

Distinct3350
Distinct (%)33.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20110876
Minimum19890407
Maximum20240502
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T11:03:19.658946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19890407
5-th percentile20010604
Q120050683
median20110307
Q320171121
95-th percentile20220203
Maximum20240502
Range350095
Interquartile range (IQR)120438.25

Descriptive statistics

Standard deviation69605.407
Coefficient of variation (CV)0.0034610829
Kurtosis-0.98395099
Mean20110876
Median Absolute Deviation (MAD)60495
Skewness-0.029066167
Sum2.0110876 × 1011
Variance4.8449127 × 109
MonotonicityNot monotonic
2024-05-18T11:03:20.241669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20041220 168
 
1.7%
20030228 129
 
1.3%
20040303 90
 
0.9%
20180503 87
 
0.9%
20180608 80
 
0.8%
20180620 62
 
0.6%
20181112 51
 
0.5%
20181217 45
 
0.4%
20020323 44
 
0.4%
20190902 42
 
0.4%
Other values (3340) 9202
92.0%
ValueCountFrequency (%)
19890407 1
 
< 0.1%
19890617 1
 
< 0.1%
19890707 1
 
< 0.1%
19890824 1
 
< 0.1%
19891124 4
< 0.1%
19910611 2
< 0.1%
19921222 1
 
< 0.1%
19930530 1
 
< 0.1%
19931105 1
 
< 0.1%
19931115 1
 
< 0.1%
ValueCountFrequency (%)
20240502 1
< 0.1%
20240408 1
< 0.1%
20240322 1
< 0.1%
20240306 1
< 0.1%
20240305 1
< 0.1%
20240304 1
< 0.1%
20240227 1
< 0.1%
20240226 1
< 0.1%
20240223 1
< 0.1%
20240213 1
< 0.1%

교부번호
Real number (ℝ)

HIGH CORRELATION 

Distinct5806
Distinct (%)58.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0019267 × 1010
Minimum1.9740098 × 1010
Maximum2.0230132 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T11:03:20.939488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9740098 × 1010
5-th percentile1.9860098 × 1010
Q11.9950099 × 1010
median2.0020098 × 1010
Q32.0080099 × 1010
95-th percentile2.0170099 × 1010
Maximum2.0230132 × 1010
Range4.9003362 × 108
Interquartile range (IQR)1.300002 × 108

Descriptive statistics

Standard deviation89859544
Coefficient of variation (CV)0.004488653
Kurtosis-0.38322077
Mean2.0019267 × 1010
Median Absolute Deviation (MAD)69999100
Skewness-0.096661562
Sum2.0019267 × 1014
Variance8.0747376 × 1015
MonotonicityNot monotonic
2024-05-18T11:03:21.743819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19940098759 60
 
0.6%
19940098768 29
 
0.3%
19820098004 28
 
0.3%
20030098145 24
 
0.2%
20130099317 23
 
0.2%
19990099671 22
 
0.2%
19880098363 22
 
0.2%
20100099662 22
 
0.2%
19800098056 20
 
0.2%
20000098121 20
 
0.2%
Other values (5796) 9730
97.3%
ValueCountFrequency (%)
19740098004 1
 
< 0.1%
19750098002 1
 
< 0.1%
19750098003 1
 
< 0.1%
19760098001 1
 
< 0.1%
19760098005 3
< 0.1%
19760098017 1
 
< 0.1%
19760098018 2
< 0.1%
19770098011 1
 
< 0.1%
19770098013 1
 
< 0.1%
19770098018 1
 
< 0.1%
ValueCountFrequency (%)
20230131627 1
 
< 0.1%
20230130879 1
 
< 0.1%
20230129972 1
 
< 0.1%
20220123513 2
< 0.1%
20220123505 1
 
< 0.1%
20220123265 1
 
< 0.1%
20220122940 1
 
< 0.1%
20220122899 1
 
< 0.1%
20220122898 3
< 0.1%
20220122835 1
 
< 0.1%

업종명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반음식점
6431 
유흥주점영업
742 
단란주점
737 
휴게음식점
 
491
건강기능식품일반판매업
 
386
Other values (15)
1213 

Length

Max length13
Median length5
Mean length5.5514
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 6431
64.3%
유흥주점영업 742
 
7.4%
단란주점 737
 
7.4%
휴게음식점 491
 
4.9%
건강기능식품일반판매업 386
 
3.9%
즉석판매제조가공업 289
 
2.9%
유통전문판매업 252
 
2.5%
제과점영업 148
 
1.5%
식품등 수입판매업 142
 
1.4%
식품제조가공업 122
 
1.2%
Other values (10) 260
 
2.6%

Length

2024-05-18T11:03:22.201775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반음식점 6431
63.4%
유흥주점영업 742
 
7.3%
단란주점 737
 
7.3%
휴게음식점 491
 
4.8%
건강기능식품일반판매업 386
 
3.8%
즉석판매제조가공업 289
 
2.8%
유통전문판매업 252
 
2.5%
제과점영업 148
 
1.5%
식품등 142
 
1.4%
수입판매업 142
 
1.4%
Other values (11) 382
 
3.8%

업태명
Text

Distinct70
Distinct (%)0.7%
Missing74
Missing (%)0.7%
Memory size156.2 KiB
2024-05-18T11:03:22.706447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length3.7469273
Min length2

Characters and Unicode

Total characters37192
Distinct characters152
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row한식
2nd row한식
3rd row단란주점
4th row단란주점
5th row정종/대포집/소주방
ValueCountFrequency (%)
한식 2805
27.7%
경양식 1203
11.9%
단란주점 737
 
7.3%
호프/통닭 658
 
6.5%
룸살롱 589
 
5.8%
분식 516
 
5.1%
중국식 340
 
3.4%
즉석판매제조가공업 289
 
2.9%
일식 257
 
2.5%
유통전문판매업 252
 
2.5%
Other values (59) 2491
24.6%
2024-05-18T11:03:23.678699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 5752
 
15.5%
한 2805
 
7.5%
업 1446
 
3.9%
매 1266
 
3.4%
판 1252
 
3.4%
양 1203
 
3.2%
경 1203
 
3.2%
통 1174
 
3.2%
점 1002
 
2.7%
주 786
 
2.1%
Other values (142) 19303
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35513
95.5%
Other Punctuation 790
 
2.1%
Close Punctuation 339
 
0.9%
Open Punctuation 339
 
0.9%
Space Separator 211
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 5752
 
16.2%
한 2805
 
7.9%
업 1446
 
4.1%
매 1266
 
3.6%
판 1252
 
3.5%
양 1203
 
3.4%
경 1203
 
3.4%
통 1174
 
3.3%
점 1002
 
2.8%
주 786
 
2.2%
Other values (137) 17624
49.6%
Other Punctuation
ValueCountFrequency (%)
/ 756
95.7%
, 34
 
4.3%
Close Punctuation
ValueCountFrequency (%)
) 339
100.0%
Open Punctuation
ValueCountFrequency (%)
( 339
100.0%
Space Separator
ValueCountFrequency (%)
211
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35513
95.5%
Common 1679
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 5752
 
16.2%
한 2805
 
7.9%
업 1446
 
4.1%
매 1266
 
3.6%
판 1252
 
3.5%
양 1203
 
3.4%
경 1203
 
3.4%
통 1174
 
3.3%
점 1002
 
2.8%
주 786
 
2.2%
Other values (137) 17624
49.6%
Common
ValueCountFrequency (%)
/ 756
45.0%
) 339
20.2%
( 339
20.2%
211
 
12.6%
, 34
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35513
95.5%
ASCII 1679
 
4.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 5752
 
16.2%
한 2805
 
7.9%
업 1446
 
4.1%
매 1266
 
3.6%
판 1252
 
3.5%
양 1203
 
3.4%
경 1203
 
3.4%
통 1174
 
3.3%
점 1002
 
2.8%
주 786
 
2.2%
Other values (137) 17624
49.6%
ASCII
ValueCountFrequency (%)
/ 756
45.0%
) 339
20.2%
( 339
20.2%
211
 
12.6%
, 34
 
2.0%

업소명
Text

Distinct5694
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T11:03:24.339243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length34
Mean length5.3701
Min length1

Characters and Unicode

Total characters53701
Distinct characters1014
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3922 ?
Unique (%)39.2%

Sample

1st row낙곱상회
2nd row퀸
3rd row쿨
4th row나사
5th row하나
ValueCountFrequency (%)
주식회사 111
 
0.9%
방배족발 59
 
0.5%
방배점 34
 
0.3%
강남점 34
 
0.3%
양재점 33
 
0.3%
서초점 33
 
0.3%
강남역점 32
 
0.3%
블루 27
 
0.2%
교대점 26
 
0.2%
한국맥도날드 25
 
0.2%
Other values (6256) 11468
96.5%
2024-05-18T11:03:25.673341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1884
 
3.5%
( 1380
 
2.6%
) 1380
 
2.6%
이 1312
 
2.4%
스 1275
 
2.4%
주 1146
 
2.1%
리 902
 
1.7%
점 769
 
1.4%
식 649
 
1.2%
아 569
 
1.1%
Other values (1004) 42435
79.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45073
83.9%
Space Separator 1884
 
3.5%
Uppercase Letter 1639
 
3.1%
Lowercase Letter 1506
 
2.8%
Open Punctuation 1380
 
2.6%
Close Punctuation 1380
 
2.6%
Decimal Number 600
 
1.1%
Other Punctuation 198
 
0.4%
Dash Punctuation 23
 
< 0.1%
Letter Number 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1312
 
2.9%
스 1275
 
2.8%
주 1146
 
2.5%
리 902
 
2.0%
점 769
 
1.7%
식 649
 
1.4%
아 569
 
1.3%
가 473
 
1.0%
마 459
 
1.0%
라 456
 
1.0%
Other values (925) 37063
82.2%
Uppercase Letter
ValueCountFrequency (%)
A 150
 
9.2%
E 119
 
7.3%
O 119
 
7.3%
C 113
 
6.9%
S 99
 
6.0%
B 98
 
6.0%
M 93
 
5.7%
T 83
 
5.1%
N 77
 
4.7%
I 75
 
4.6%
Other values (16) 613
37.4%
Lowercase Letter
ValueCountFrequency (%)
e 207
13.7%
a 189
12.5%
n 132
 
8.8%
o 131
 
8.7%
i 95
 
6.3%
r 83
 
5.5%
l 76
 
5.0%
s 72
 
4.8%
h 62
 
4.1%
t 59
 
3.9%
Other values (15) 400
26.6%
Other Punctuation
ValueCountFrequency (%)
. 85
42.9%
& 41
20.7%
, 26
 
13.1%
? 11
 
5.6%
; 10
 
5.1%
' 9
 
4.5%
？ 8
 
4.0%
# 3
 
1.5%
% 2
 
1.0%
! 2
 
1.0%
Decimal Number
ValueCountFrequency (%)
2 123
20.5%
1 103
17.2%
0 103
17.2%
3 54
9.0%
9 51
8.5%
8 47
 
7.8%
5 37
 
6.2%
4 37
 
6.2%
7 36
 
6.0%
6 9
 
1.5%
Letter Number
ValueCountFrequency (%)
Ⅱ 15
93.8%
Ⅰ 1
 
6.2%
Space Separator
ValueCountFrequency (%)
1884
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1380
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1380
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44996
83.8%
Common 5467
 
10.2%
Latin 3161
 
5.9%
Han 77
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1312
 
2.9%
스 1275
 
2.8%
주 1146
 
2.5%
리 902
 
2.0%
점 769
 
1.7%
식 649
 
1.4%
아 569
 
1.3%
가 473
 
1.1%
마 459
 
1.0%
라 456
 
1.0%
Other values (882) 36986
82.2%
Latin
ValueCountFrequency (%)
e 207
 
6.5%
a 189
 
6.0%
A 150
 
4.7%
n 132
 
4.2%
o 131
 
4.1%
E 119
 
3.8%
O 119
 
3.8%
C 113
 
3.6%
S 99
 
3.1%
B 98
 
3.1%
Other values (43) 1804
57.1%
Han
ValueCountFrequency (%)
膳 6
 
7.8%
水 6
 
7.8%
井 4
 
5.2%
新 4
 
5.2%
有 4
 
5.2%
天 3
 
3.9%
生 3
 
3.9%
自 3
 
3.9%
人 3
 
3.9%
陶 2
 
2.6%
Other values (33) 39
50.6%
Common
ValueCountFrequency (%)
1884
34.5%
( 1380
25.2%
) 1380
25.2%
2 123
 
2.2%
1 103
 
1.9%
0 103
 
1.9%
. 85
 
1.6%
3 54
 
1.0%
9 51
 
0.9%
8 47
 
0.9%
Other values (16) 257
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44996
83.8%
ASCII 8604
 
16.0%
CJK 73
 
0.1%
Number Forms 16
 
< 0.1%
None 8
 
< 0.1%
CJK Compat Ideographs 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1884
21.9%
( 1380
16.0%
) 1380
16.0%
e 207
 
2.4%
a 189
 
2.2%
A 150
 
1.7%
n 132
 
1.5%
o 131
 
1.5%
2 123
 
1.4%
E 119
 
1.4%
Other values (66) 2909
33.8%
Hangul
ValueCountFrequency (%)
이 1312
 
2.9%
스 1275
 
2.8%
주 1146
 
2.5%
리 902
 
2.0%
점 769
 
1.7%
식 649
 
1.4%
아 569
 
1.3%
가 473
 
1.1%
마 459
 
1.0%
라 456
 
1.0%
Other values (882) 36986
82.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 15
93.8%
Ⅰ 1
 
6.2%
None
ValueCountFrequency (%)
？ 8
100.0%
CJK
ValueCountFrequency (%)
膳 6
 
8.2%
水 6
 
8.2%
井 4
 
5.5%
新 4
 
5.5%
有 4
 
5.5%
天 3
 
4.1%
生 3
 
4.1%
自 3
 
4.1%
人 3
 
4.1%
陶 2
 
2.7%
Other values (29) 35
47.9%
CJK Compat Ideographs
ValueCountFrequency (%)
金 1
25.0%
茶 1
25.0%
林 1
25.0%
樂 1
25.0%

소재지도로명
Text

MISSING 

Distinct2425
Distinct (%)60.1%
Missing5962
Missing (%)59.6%
Memory size156.2 KiB
2024-05-18T11:03:26.356897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length55
Mean length33.526251
Min length22

Characters and Unicode

Total characters135379
Distinct characters411
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1738 ?
Unique (%)43.0%

Sample

1st row서울특별시 서초구 사평대로57길 39-2, 지하1층 (반포동)
2nd row서울특별시 서초구 강남대로89길 11, (반포동)
3rd row서울특별시 서초구 서초대로46길 100, (서초동)
4th row서울특별시 서초구 남부순환로358길 63, 102호 (양재동)
5th row서울특별시 서초구 반포대로12길 6, (서초동)
ValueCountFrequency (%)
서울특별시 4038
 
15.8%
서초구 4038
 
15.8%
서초동 1447
 
5.7%
1층 1230
 
4.8%
방배동 560
 
2.2%
양재동 518
 
2.0%
지하1층 485
 
1.9%
반포동 328
 
1.3%
잠원동 305
 
1.2%
2층 245
 
1.0%
Other values (2298) 12391
48.4%
2024-05-18T11:03:27.643810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21563
 
15.9%
서 10834
 
8.0%
초 6682
 
4.9%
1 6443
 
4.8%
, 6017
 
4.4%
동 4379
 
3.2%
) 4218
 
3.1%
( 4218
 
3.1%
시 4088
 
3.0%
구 4066
 
3.0%
Other values (401) 62871
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 76721
56.7%
Decimal Number 21641
 
16.0%
Space Separator 21563
 
15.9%
Other Punctuation 6054
 
4.5%
Close Punctuation 4218
 
3.1%
Open Punctuation 4218
 
3.1%
Dash Punctuation 553
 
0.4%
Uppercase Letter 337
 
0.2%
Math Symbol 55
 
< 0.1%
Lowercase Letter 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 10834
 
14.1%
초 6682
 
8.7%
동 4379
 
5.7%
시 4088
 
5.3%
구 4066
 
5.3%
울 4061
 
5.3%
특 4038
 
5.3%
별 4038
 
5.3%
로 3978
 
5.2%
층 2946
 
3.8%
Other values (351) 27611
36.0%
Uppercase Letter
ValueCountFrequency (%)
B 160
47.5%
A 21
 
6.2%
T 20
 
5.9%
P 12
 
3.6%
S 12
 
3.6%
R 11
 
3.3%
G 11
 
3.3%
L 10
 
3.0%
D 10
 
3.0%
I 10
 
3.0%
Other values (12) 60
 
17.8%
Decimal Number
ValueCountFrequency (%)
1 6443
29.8%
2 2925
13.5%
3 2217
 
10.2%
0 2041
 
9.4%
4 1733
 
8.0%
5 1609
 
7.4%
7 1576
 
7.3%
6 1221
 
5.6%
9 955
 
4.4%
8 921
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
a 5
50.0%
l 1
 
10.0%
f 1
 
10.0%
i 1
 
10.0%
v 1
 
10.0%
e 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 6017
99.4%
? 30
 
0.5%
/ 5
 
0.1%
@ 1
 
< 0.1%
？ 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 6
66.7%
Ⅱ 3
33.3%
Space Separator
ValueCountFrequency (%)
21563
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4218
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4218
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 553
100.0%
Math Symbol
ValueCountFrequency (%)
~ 55
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 76721
56.7%
Common 58302
43.1%
Latin 355
 
0.3%
Greek 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 10834
 
14.1%
초 6682
 
8.7%
동 4379
 
5.7%
시 4088
 
5.3%
구 4066
 
5.3%
울 4061
 
5.3%
특 4038
 
5.3%
별 4038
 
5.3%
로 3978
 
5.2%
층 2946
 
3.8%
Other values (351) 27611
36.0%
Latin
ValueCountFrequency (%)
B 160
45.1%
A 21
 
5.9%
T 20
 
5.6%
P 12
 
3.4%
S 12
 
3.4%
R 11
 
3.1%
G 11
 
3.1%
L 10
 
2.8%
D 10
 
2.8%
I 10
 
2.8%
Other values (19) 78
22.0%
Common
ValueCountFrequency (%)
21563
37.0%
1 6443
 
11.1%
, 6017
 
10.3%
) 4218
 
7.2%
( 4218
 
7.2%
2 2925
 
5.0%
3 2217
 
3.8%
0 2041
 
3.5%
4 1733
 
3.0%
5 1609
 
2.8%
Other values (10) 5318
 
9.1%
Greek
ValueCountFrequency (%)
Ι 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 76721
56.7%
ASCII 58647
43.3%
Number Forms 9
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21563
36.8%
1 6443
 
11.0%
, 6017
 
10.3%
) 4218
 
7.2%
( 4218
 
7.2%
2 2925
 
5.0%
3 2217
 
3.8%
0 2041
 
3.5%
4 1733
 
3.0%
5 1609
 
2.7%
Other values (36) 5663
 
9.7%
Hangul
ValueCountFrequency (%)
서 10834
 
14.1%
초 6682
 
8.7%
동 4379
 
5.7%
시 4088
 
5.3%
구 4066
 
5.3%
울 4061
 
5.3%
특 4038
 
5.3%
별 4038
 
5.3%
로 3978
 
5.2%
층 2946
 
3.8%
Other values (351) 27611
36.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 6
66.7%
Ⅱ 3
33.3%
None
ValueCountFrequency (%)
？ 1
50.0%
Ι 1
50.0%

소재지지번
Text

Distinct5363
Distinct (%)53.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T11:03:28.320430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length60
Mean length30.058
Min length16

Characters and Unicode

Total characters300580
Distinct characters432
Distinct categories11 ?
Distinct scripts5 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3539 ?
Unique (%)35.4%

Sample

1st row서울특별시 서초구 반포동 738번지 11호 지하1층
2nd row서울특별시 서초구 서초동 1569번지 6호
3rd row서울특별시 서초구 반포동 722번지 0호
4th row서울특별시 서초구 서초동 1339번지 7호
5th row서울특별시 서초구 반포동 817번지
ValueCountFrequency (%)
서울특별시 10000
 
16.8%
서초구 10000
 
16.8%
서초동 4050
 
6.8%
1층 1990
 
3.3%
방배동 1932
 
3.2%
양재동 1564
 
2.6%
지하1층 1275
 
2.1%
반포동 1175
 
2.0%
잠원동 1032
 
1.7%
1호 966
 
1.6%
Other values (2933) 25558
42.9%
2024-05-18T11:03:29.673561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
72653
24.2%
서 24260
 
8.1%
1 17690
 
5.9%
초 14195
 
4.7%
지 12750
 
4.2%
호 11114
 
3.7%
동 10241
 
3.4%
시 10098
 
3.4%
울 10030
 
3.3%
구 10020
 
3.3%
Other values (422) 107529
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 164101
54.6%
Space Separator 72653
24.2%
Decimal Number 58609
 
19.5%
Other Punctuation 1243
 
0.4%
Close Punctuation 1168
 
0.4%
Open Punctuation 1168
 
0.4%
Dash Punctuation 976
 
0.3%
Uppercase Letter 512
 
0.2%
Math Symbol 123
 
< 0.1%
Lowercase Letter 18
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 24260
14.8%
초 14195
 
8.7%
지 12750
 
7.8%
호 11114
 
6.8%
동 10241
 
6.2%
시 10098
 
6.2%
울 10030
 
6.1%
구 10020
 
6.1%
번 10012
 
6.1%
별 10000
 
6.1%
Other values (363) 41381
25.2%
Uppercase Letter
ValueCountFrequency (%)
B 283
55.3%
A 35
 
6.8%
T 18
 
3.5%
P 16
 
3.1%
D 14
 
2.7%
J 14
 
2.7%
S 13
 
2.5%
F 13
 
2.5%
M 13
 
2.5%
I 13
 
2.5%
Other values (13) 80
 
15.6%
Decimal Number
ValueCountFrequency (%)
1 17690
30.2%
2 6808
 
11.6%
3 6142
 
10.5%
0 5230
 
8.9%
7 4491
 
7.7%
5 4346
 
7.4%
4 4230
 
7.2%
6 3567
 
6.1%
8 3102
 
5.3%
9 3003
 
5.1%
Lowercase Letter
ValueCountFrequency (%)
a 8
44.4%
i 2
 
11.1%
l 1
 
5.6%
t 1
 
5.6%
d 1
 
5.6%
e 1
 
5.6%
v 1
 
5.6%
f 1
 
5.6%
p 1
 
5.6%
m 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 1047
84.2%
? 149
 
12.0%
/ 22
 
1.8%
. 18
 
1.4%
@ 2
 
0.2%
: 2
 
0.2%
; 1
 
0.1%
& 1
 
0.1%
？ 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 8
88.9%
Ⅰ 1
 
11.1%
Space Separator
ValueCountFrequency (%)
72653
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1168
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1168
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 976
100.0%
Math Symbol
ValueCountFrequency (%)
~ 123
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 164100
54.6%
Common 135940
45.2%
Latin 538
 
0.2%
Greek 1
 
< 0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 24260
14.8%
초 14195
 
8.7%
지 12750
 
7.8%
호 11114
 
6.8%
동 10241
 
6.2%
시 10098
 
6.2%
울 10030
 
6.1%
구 10020
 
6.1%
번 10012
 
6.1%
별 10000
 
6.1%
Other values (362) 41380
25.2%
Latin
ValueCountFrequency (%)
B 283
52.6%
A 35
 
6.5%
T 18
 
3.3%
P 16
 
3.0%
D 14
 
2.6%
J 14
 
2.6%
S 13
 
2.4%
F 13
 
2.4%
M 13
 
2.4%
I 13
 
2.4%
Other values (24) 106
 
19.7%
Common
ValueCountFrequency (%)
72653
53.4%
1 17690
 
13.0%
2 6808
 
5.0%
3 6142
 
4.5%
0 5230
 
3.8%
7 4491
 
3.3%
5 4346
 
3.2%
4 4230
 
3.1%
6 3567
 
2.6%
8 3102
 
2.3%
Other values (14) 7681
 
5.7%
Greek
ValueCountFrequency (%)
Ι 1
100.0%
Han
ValueCountFrequency (%)
大 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 164100
54.6%
ASCII 136468
45.4%
Number Forms 9
 
< 0.1%
None 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
72653
53.2%
1 17690
 
13.0%
2 6808
 
5.0%
3 6142
 
4.5%
0 5230
 
3.8%
7 4491
 
3.3%
5 4346
 
3.2%
4 4230
 
3.1%
6 3567
 
2.6%
8 3102
 
2.3%
Other values (45) 8209
 
6.0%
Hangul
ValueCountFrequency (%)
서 24260
14.8%
초 14195
 
8.7%
지 12750
 
7.8%
호 11114
 
6.8%
동 10241
 
6.2%
시 10098
 
6.2%
울 10030
 
6.1%
구 10020
 
6.1%
번 10012
 
6.1%
별 10000
 
6.1%
Other values (362) 41380
25.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 8
88.9%
Ⅰ 1
 
11.1%
None
ValueCountFrequency (%)
Ι 1
50.0%
？ 1
50.0%
CJK
ValueCountFrequency (%)
大 1
100.0%

지도점검일자
Real number (ℝ)

HIGH CORRELATION 

Distinct3710
Distinct (%)37.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20109999
Minimum19890307
Maximum20240312
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T11:03:30.126411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19890307
5-th percentile20010518
Q120050603
median20110128
Q320170919
95-th percentile20211208
Maximum20240312
Range350005
Interquartile range (IQR)120316

Descriptive statistics

Standard deviation69482.641
Coefficient of variation (CV)0.0034551289
Kurtosis-0.99073553
Mean20109999
Median Absolute Deviation (MAD)60583.5
Skewness-0.034932841
Sum2.0109999 × 1011
Variance4.8278374 × 109
MonotonicityNot monotonic
2024-05-18T11:03:30.705478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20041102 165
 
1.7%
20180502 141
 
1.4%
20030110 131
 
1.3%
20040116 85
 
0.9%
20180327 80
 
0.8%
20210802 62
 
0.6%
20181112 58
 
0.6%
20210727 57
 
0.6%
20230811 51
 
0.5%
20181129 46
 
0.5%
Other values (3700) 9124
91.2%
ValueCountFrequency (%)
19890307 1
 
< 0.1%
19890517 1
 
< 0.1%
19890607 1
 
< 0.1%
19890724 1
 
< 0.1%
19891024 4
< 0.1%
19910511 2
< 0.1%
19921122 1
 
< 0.1%
19930420 1
 
< 0.1%
19931005 1
 
< 0.1%
19931015 1
 
< 0.1%
ValueCountFrequency (%)
20240312 1
< 0.1%
20240226 1
< 0.1%
20240222 1
< 0.1%
20240213 1
< 0.1%
20240206 1
< 0.1%
20240201 2
< 0.1%
20240116 1
< 0.1%
20240109 1
< 0.1%
20231221 1
< 0.1%
20231220 2
< 0.1%

행정처분상태
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
처분확정
10000 

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 10000
100.0%

Length

2024-05-18T11:03:31.308487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:03:31.552444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
처분확정 10000
100.0%

처분명
Text

Distinct2609
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T11:03:32.098217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length137
Median length111
Mean length13.4766
Min length2

Characters and Unicode

Total characters134766
Distinct characters265
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1923 ?
Unique (%)19.2%

Sample

1st row과태료부과
2nd row영업소폐쇄
3rd row시정명령
4th row영업정지2월(2005.4.29-6.28)
5th row과태료20만원
ValueCountFrequency (%)
시정명령 1454
 
9.3%
영업소폐쇄 1080
 
6.9%
과태료 864
 
5.5%
영업정지 660
 
4.2%
부과 561
 
3.6%
과태료부과 520
 
3.3%
시설개수명령 409
 
2.6%
영업소폐쇄(직권말소 320
 
2.0%
20만원 256
 
1.6%
자진납부 249
 
1.6%
Other values (2944) 9328
59.4%
2024-05-18T11:03:33.881404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10903
 
8.1%
과 7198
 
5.3%
2 6773
 
5.0%
. 6405
 
4.8%
5709
 
4.2%
1 5535
 
4.1%
부 4285
 
3.2%
( 4189
 
3.1%
) 4179
 
3.1%
정 4037
 
3.0%
Other values (255) 75553
56.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 77930
57.8%
Decimal Number 33488
24.8%
Other Punctuation 8502
 
6.3%
Space Separator 5709
 
4.2%
Open Punctuation 4191
 
3.1%
Close Punctuation 4180
 
3.1%
Dash Punctuation 464
 
0.3%
Math Symbol 299
 
0.2%
Connector Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 7198
 
9.2%
부 4285
 
5.5%
정 4037
 
5.2%
업 3873
 
5.0%
원 3855
 
4.9%
영 3835
 
4.9%
시 3402
 
4.4%
만 3393
 
4.4%
료 3286
 
4.2%
태 3174
 
4.1%
Other values (226) 37592
48.2%
Decimal Number
ValueCountFrequency (%)
0 10903
32.6%
2 6773
20.2%
1 5535
16.5%
3 2121
 
6.3%
5 1716
 
5.1%
4 1708
 
5.1%
6 1446
 
4.3%
8 1227
 
3.7%
7 1185
 
3.5%
9 874
 
2.6%
Other Punctuation
ValueCountFrequency (%)
. 6405
75.3%
, 1459
 
17.2%
: 321
 
3.8%
% 196
 
2.3%
/ 92
 
1.1%
* 26
 
0.3%
; 2
 
< 0.1%
? 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 4189
> 99.9%
【 1
 
< 0.1%
[ 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 296
99.0%
+ 2
 
0.7%
→ 1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 4179
> 99.9%
】 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
5709
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 464
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 77930
57.8%
Common 56836
42.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 7198
 
9.2%
부 4285
 
5.5%
정 4037
 
5.2%
업 3873
 
5.0%
원 3855
 
4.9%
영 3835
 
4.9%
시 3402
 
4.4%
만 3393
 
4.4%
료 3286
 
4.2%
태 3174
 
4.1%
Other values (226) 37592
48.2%
Common
ValueCountFrequency (%)
0 10903
19.2%
2 6773
11.9%
. 6405
11.3%
5709
10.0%
1 5535
9.7%
( 4189
 
7.4%
) 4179
 
7.4%
3 2121
 
3.7%
5 1716
 
3.0%
4 1708
 
3.0%
Other values (19) 7598
13.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 77641
57.6%
ASCII 56833
42.2%
Compat Jamo 289
 
0.2%
None 2
 
< 0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10903
19.2%
2 6773
11.9%
. 6405
11.3%
5709
10.0%
1 5535
9.7%
( 4189
 
7.4%
) 4179
 
7.4%
3 2121
 
3.7%
5 1716
 
3.0%
4 1708
 
3.0%
Other values (16) 7595
13.4%
Hangul
ValueCountFrequency (%)
과 7198
 
9.3%
부 4285
 
5.5%
정 4037
 
5.2%
업 3873
 
5.0%
원 3855
 
5.0%
영 3835
 
4.9%
시 3402
 
4.4%
만 3393
 
4.4%
료 3286
 
4.2%
태 3174
 
4.1%
Other values (224) 37303
48.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 288
99.7%
ㅁ 1
 
0.3%
Arrows
ValueCountFrequency (%)
→ 1
100.0%
None
ValueCountFrequency (%)
【 1
50.0%
】 1
50.0%

법적근거
Text

Distinct505
Distinct (%)5.1%
Missing30
Missing (%)0.3%
Memory size156.2 KiB
2024-05-18T11:03:34.477914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length35
Mean length10.063892
Min length1

Characters and Unicode

Total characters100337
Distinct characters141
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique221 ?
Unique (%)2.2%

Sample

1st row법 제71조 및 법 제75조
2nd row식품위생법
3rd row식품위생법 제44조
4th row식품위생법
5th row식품위생법 제78조
ValueCountFrequency (%)
식품위생법 5018
22.7%
법 3749
17.0%
및 1157
 
5.2%
제75조 935
 
4.2%
제37조 870
 
3.9%
제71조 754
 
3.4%
제21조 691
 
3.1%
제36조 684
 
3.1%
제31조 501
 
2.3%
제101조제2항제1호 494
 
2.2%
Other values (352) 7223
32.7%
2024-05-18T11:03:35.849652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 12673
12.6%
12128
12.1%
조 10601
10.6%
법 9222
 
9.2%
1 6329
 
6.3%
품 5266
 
5.2%
식 5257
 
5.2%
위 5194
 
5.2%
생 5158
 
5.1%
7 4689
 
4.7%
Other values (131) 23820
23.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 61295
61.1%
Decimal Number 25386
25.3%
Space Separator 12128
 
12.1%
Other Punctuation 1420
 
1.4%
Close Punctuation 54
 
0.1%
Open Punctuation 53
 
0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 12673
20.7%
조 10601
17.3%
법 9222
15.0%
품 5266
8.6%
식 5257
8.6%
위 5194
8.5%
생 5158
8.4%
항 2380
 
3.9%
호 1197
 
2.0%
및 1166
 
1.9%
Other values (113) 3181
 
5.2%
Decimal Number
ValueCountFrequency (%)
1 6329
24.9%
7 4689
18.5%
3 3276
12.9%
2 3017
11.9%
4 2205
 
8.7%
6 1982
 
7.8%
5 1651
 
6.5%
0 1525
 
6.0%
8 659
 
2.6%
9 53
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 1394
98.2%
. 21
 
1.5%
? 3
 
0.2%
？ 2
 
0.1%
Space Separator
ValueCountFrequency (%)
12128
100.0%
Close Punctuation
ValueCountFrequency (%)
) 54
100.0%
Open Punctuation
ValueCountFrequency (%)
( 53
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 61295
61.1%
Common 39042
38.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 12673
20.7%
조 10601
17.3%
법 9222
15.0%
품 5266
8.6%
식 5257
8.6%
위 5194
8.5%
생 5158
8.4%
항 2380
 
3.9%
호 1197
 
2.0%
및 1166
 
1.9%
Other values (113) 3181
 
5.2%
Common
ValueCountFrequency (%)
12128
31.1%
1 6329
16.2%
7 4689
 
12.0%
3 3276
 
8.4%
2 3017
 
7.7%
4 2205
 
5.6%
6 1982
 
5.1%
5 1651
 
4.2%
0 1525
 
3.9%
, 1394
 
3.6%
Other values (8) 846
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 61294
61.1%
ASCII 39040
38.9%
None 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 12673
20.7%
조 10601
17.3%
법 9222
15.0%
품 5266
8.6%
식 5257
8.6%
위 5194
8.5%
생 5158
8.4%
항 2380
 
3.9%
호 1197
 
2.0%
및 1166
 
1.9%
Other values (112) 3180
 
5.2%
ASCII
ValueCountFrequency (%)
12128
31.1%
1 6329
16.2%
7 4689
 
12.0%
3 3276
 
8.4%
2 3017
 
7.7%
4 2205
 
5.6%
6 1982
 
5.1%
5 1651
 
4.2%
0 1525
 
3.9%
, 1394
 
3.6%
Other values (7) 844
 
2.2%
None
ValueCountFrequency (%)
？ 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅈ 1
100.0%

위반일자
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct3740
Distinct (%)37.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20107771
Minimum2011109
Maximum20240312
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T11:03:36.354826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2011109
5-th percentile20010519
Q120050603
median20110126
Q320170912
95-th percentile20211201
Maximum20240312
Range18229203
Interquartile range (IQR)120309

Descriptive statistics

Standard deviation193724.4
Coefficient of variation (CV)0.0096343054
Kurtosis7617.13
Mean20107771
Median Absolute Deviation (MAD)60579
Skewness-81.538576
Sum2.0107771 × 1011
Variance3.7529144 × 1010
MonotonicityNot monotonic
2024-05-18T11:03:37.021864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20041102 167
 
1.7%
20180502 141
 
1.4%
20030110 131
 
1.3%
20201231 114
 
1.1%
20230101 89
 
0.9%
20040116 84
 
0.8%
20180327 80
 
0.8%
20210727 57
 
0.6%
20181008 51
 
0.5%
20200102 46
 
0.5%
Other values (3730) 9040
90.4%
ValueCountFrequency (%)
2011109 1
 
< 0.1%
19890307 1
 
< 0.1%
19890517 1
 
< 0.1%
19890607 1
 
< 0.1%
19890724 1
 
< 0.1%
19891024 4
< 0.1%
19910511 2
< 0.1%
19921122 1
 
< 0.1%
19930330 1
 
< 0.1%
19930420 1
 
< 0.1%
ValueCountFrequency (%)
20240312 1
< 0.1%
20240222 1
< 0.1%
20240213 1
< 0.1%
20240206 2
< 0.1%
20240201 2
< 0.1%
20240116 1
< 0.1%
20240109 1
< 0.1%
20231221 1
< 0.1%
20231220 2
< 0.1%
20231214 1
< 0.1%

위반내용
Text

Distinct4072
Distinct (%)40.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T11:03:37.780383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length322
Median length207
Mean length22.7708
Min length1

Characters and Unicode

Total characters227708
Distinct characters856
Distinct categories16 ?
Distinct scripts4 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2825 ?
Unique (%)28.2%

Sample

1st row유통기한 경과제품 조리목적 보관(1차) -2022.12.16. 유통기한이 경과된 1개 제품 적발 (캡사이신 분말: `21.01.17.까지)
2nd row시설물 전부 철거
3rd row업종 종류 미표시(1차)
4th row유흥접대부고용영업2차
5th row건강진단미필(영업주)
ValueCountFrequency (%)
및 779
 
1.8%
위생교육 625
 
1.5%
미필 545
 
1.3%
전부 527
 
1.2%
건강진단 515
 
1.2%
509
 
1.2%
영업자 493
 
1.2%
영업시설물 465
 
1.1%
영업장외 436
 
1.0%
철거 411
 
1.0%
Other values (7181) 36950
87.4%
2024-05-18T11:03:39.162970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33396
 
14.7%
업 7494
 
3.3%
1 6443
 
2.8%
) 5919
 
2.6%
( 5897
 
2.6%
영 4651
 
2.0%
2 4106
 
1.8%
차 4049
 
1.8%
미 3764
 
1.7%
위 3506
 
1.5%
Other values (846) 148483
65.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 155143
68.1%
Space Separator 33396
 
14.7%
Decimal Number 17827
 
7.8%
Close Punctuation 6214
 
2.7%
Open Punctuation 6192
 
2.7%
Other Punctuation 6086
 
2.7%
Lowercase Letter 1029
 
0.5%
Dash Punctuation 966
 
0.4%
Uppercase Letter 600
 
0.3%
Other Symbol 127
 
0.1%
Other values (6) 128
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 7494
 
4.8%
영 4651
 
3.0%
차 4049
 
2.6%
미 3764
 
2.4%
위 3506
 
2.3%
기 3496
 
2.3%
시 3215
 
2.1%
설 2978
 
1.9%
장 2289
 
1.5%
고 2179
 
1.4%
Other values (748) 117522
75.8%
Uppercase Letter
ValueCountFrequency (%)
A 82
13.7%
O 55
 
9.2%
H 52
 
8.7%
N 48
 
8.0%
S 41
 
6.8%
E 40
 
6.7%
I 32
 
5.3%
R 29
 
4.8%
K 27
 
4.5%
C 26
 
4.3%
Other values (16) 168
28.0%
Lowercase Letter
ValueCountFrequency (%)
w 142
13.8%
o 102
 
9.9%
m 78
 
7.6%
c 68
 
6.6%
g 66
 
6.4%
t 59
 
5.7%
k 59
 
5.7%
a 54
 
5.2%
r 53
 
5.2%
l 51
 
5.0%
Other values (14) 297
28.9%
Other Punctuation
ValueCountFrequency (%)
. 2545
41.8%
, 1696
27.9%
/ 848
 
13.9%
: 766
 
12.6%
? 92
 
1.5%
' 54
 
0.9%
* 52
 
0.9%
% 15
 
0.2%
; 6
 
0.1%
… 4
 
0.1%
Other values (2) 8
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 6443
36.1%
2 4106
23.0%
0 2761
15.5%
3 1144
 
6.4%
6 741
 
4.2%
4 714
 
4.0%
5 551
 
3.1%
9 489
 
2.7%
7 468
 
2.6%
8 410
 
2.3%
Other Symbol
ValueCountFrequency (%)
○ 83
65.4%
㎡ 29
 
22.8%
℃ 8
 
6.3%
□ 6
 
4.7%
▣ 1
 
0.8%
Close Punctuation
ValueCountFrequency (%)
) 5919
95.3%
】 209
 
3.4%
] 84
 
1.4%
』 2
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 5897
95.2%
【 209
 
3.4%
[ 84
 
1.4%
『 2
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 36
76.6%
+ 7
 
14.9%
× 4
 
8.5%
Initial Punctuation
ValueCountFrequency (%)
‘ 28
87.5%
“ 4
 
12.5%
Final Punctuation
ValueCountFrequency (%)
’ 26
86.7%
” 4
 
13.3%
Other Number
ValueCountFrequency (%)
① 2
50.0%
② 2
50.0%
Space Separator
ValueCountFrequency (%)
33396
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 966
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 14
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 155139
68.1%
Common 70936
31.2%
Latin 1629
 
0.7%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 7494
 
4.8%
영 4651
 
3.0%
차 4049
 
2.6%
미 3764
 
2.4%
위 3506
 
2.3%
기 3496
 
2.3%
시 3215
 
2.1%
설 2978
 
1.9%
장 2289
 
1.5%
고 2179
 
1.4%
Other values (745) 117518
75.8%
Latin
ValueCountFrequency (%)
w 142
 
8.7%
o 102
 
6.3%
A 82
 
5.0%
m 78
 
4.8%
c 68
 
4.2%
g 66
 
4.1%
t 59
 
3.6%
k 59
 
3.6%
O 55
 
3.4%
a 54
 
3.3%
Other values (40) 864
53.0%
Common
ValueCountFrequency (%)
33396
47.1%
1 6443
 
9.1%
) 5919
 
8.3%
( 5897
 
8.3%
2 4106
 
5.8%
0 2761
 
3.9%
. 2545
 
3.6%
, 1696
 
2.4%
3 1144
 
1.6%
- 966
 
1.4%
Other values (38) 6063
 
8.5%
Han
ValueCountFrequency (%)
新 2
50.0%
性 1
25.0%
層 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 155135
68.1%
ASCII 71931
31.6%
None 433
 
0.2%
Geometric Shapes 90
 
< 0.1%
Punctuation 70
 
< 0.1%
CJK Compat 29
 
< 0.1%
Letterlike Symbols 8
 
< 0.1%
Compat Jamo 4
 
< 0.1%
Enclosed Alphanum 4
 
< 0.1%
CJK 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
33396
46.4%
1 6443
 
9.0%
) 5919
 
8.2%
( 5897
 
8.2%
2 4106
 
5.7%
0 2761
 
3.8%
. 2545
 
3.5%
, 1696
 
2.4%
3 1144
 
1.6%
- 966
 
1.3%
Other values (68) 7058
 
9.8%
Hangul
ValueCountFrequency (%)
업 7494
 
4.8%
영 4651
 
3.0%
차 4049
 
2.6%
미 3764
 
2.4%
위 3506
 
2.3%
기 3496
 
2.3%
시 3215
 
2.1%
설 2978
 
1.9%
장 2289
 
1.5%
고 2179
 
1.4%
Other values (743) 117514
75.7%
None
ValueCountFrequency (%)
】 209
48.3%
【 209
48.3%
× 4
 
0.9%
？ 4
 
0.9%
Ｉ 3
 
0.7%
』 2
 
0.5%
『 2
 
0.5%
Geometric Shapes
ValueCountFrequency (%)
○ 83
92.2%
□ 6
 
6.7%
▣ 1
 
1.1%
CJK Compat
ValueCountFrequency (%)
㎡ 29
100.0%
Punctuation
ValueCountFrequency (%)
‘ 28
40.0%
’ 26
37.1%
… 4
 
5.7%
※ 4
 
5.7%
” 4
 
5.7%
“ 4
 
5.7%
Letterlike Symbols
ValueCountFrequency (%)
℃ 8
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 2
50.0%
ㄴ 2
50.0%
Enclosed Alphanum
ValueCountFrequency (%)
① 2
50.0%
② 2
50.0%
CJK
ValueCountFrequency (%)
新 2
50.0%
性 1
25.0%
層 1
25.0%

처분내용
Text

Distinct2609
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T11:03:39.833128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length137
Median length111
Mean length13.4766
Min length2

Characters and Unicode

Total characters134766
Distinct characters265
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1923 ?
Unique (%)19.2%

Sample

1st row과태료부과
2nd row영업소폐쇄
3rd row시정명령
4th row영업정지2월(2005.4.29-6.28)
5th row과태료20만원
ValueCountFrequency (%)
시정명령 1454
 
9.3%
영업소폐쇄 1080
 
6.9%
과태료 864
 
5.5%
영업정지 660
 
4.2%
부과 561
 
3.6%
과태료부과 520
 
3.3%
시설개수명령 409
 
2.6%
영업소폐쇄(직권말소 320
 
2.0%
20만원 256
 
1.6%
자진납부 249
 
1.6%
Other values (2944) 9328
59.4%
2024-05-18T11:03:41.186762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10903
 
8.1%
과 7198
 
5.3%
2 6773
 
5.0%
. 6405
 
4.8%
5709
 
4.2%
1 5535
 
4.1%
부 4285
 
3.2%
( 4189
 
3.1%
) 4179
 
3.1%
정 4037
 
3.0%
Other values (255) 75553
56.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 77930
57.8%
Decimal Number 33488
24.8%
Other Punctuation 8502
 
6.3%
Space Separator 5709
 
4.2%
Open Punctuation 4191
 
3.1%
Close Punctuation 4180
 
3.1%
Dash Punctuation 464
 
0.3%
Math Symbol 299
 
0.2%
Connector Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 7198
 
9.2%
부 4285
 
5.5%
정 4037
 
5.2%
업 3873
 
5.0%
원 3855
 
4.9%
영 3835
 
4.9%
시 3402
 
4.4%
만 3393
 
4.4%
료 3286
 
4.2%
태 3174
 
4.1%
Other values (226) 37592
48.2%
Decimal Number
ValueCountFrequency (%)
0 10903
32.6%
2 6773
20.2%
1 5535
16.5%
3 2121
 
6.3%
5 1716
 
5.1%
4 1708
 
5.1%
6 1446
 
4.3%
8 1227
 
3.7%
7 1185
 
3.5%
9 874
 
2.6%
Other Punctuation
ValueCountFrequency (%)
. 6405
75.3%
, 1459
 
17.2%
: 321
 
3.8%
% 196
 
2.3%
/ 92
 
1.1%
* 26
 
0.3%
; 2
 
< 0.1%
? 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 4189
> 99.9%
【 1
 
< 0.1%
[ 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 296
99.0%
+ 2
 
0.7%
→ 1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 4179
> 99.9%
】 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
5709
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 464
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 77930
57.8%
Common 56836
42.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 7198
 
9.2%
부 4285
 
5.5%
정 4037
 
5.2%
업 3873
 
5.0%
원 3855
 
4.9%
영 3835
 
4.9%
시 3402
 
4.4%
만 3393
 
4.4%
료 3286
 
4.2%
태 3174
 
4.1%
Other values (226) 37592
48.2%
Common
ValueCountFrequency (%)
0 10903
19.2%
2 6773
11.9%
. 6405
11.3%
5709
10.0%
1 5535
9.7%
( 4189
 
7.4%
) 4179
 
7.4%
3 2121
 
3.7%
5 1716
 
3.0%
4 1708
 
3.0%
Other values (19) 7598
13.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 77641
57.6%
ASCII 56833
42.2%
Compat Jamo 289
 
0.2%
None 2
 
< 0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10903
19.2%
2 6773
11.9%
. 6405
11.3%
5709
10.0%
1 5535
9.7%
( 4189
 
7.4%
) 4179
 
7.4%
3 2121
 
3.7%
5 1716
 
3.0%
4 1708
 
3.0%
Other values (16) 7595
13.4%
Hangul
ValueCountFrequency (%)
과 7198
 
9.3%
부 4285
 
5.5%
정 4037
 
5.2%
업 3873
 
5.0%
원 3855
 
5.0%
영 3835
 
4.9%
시 3402
 
4.4%
만 3393
 
4.4%
료 3286
 
4.2%
태 3174
 
4.1%
Other values (224) 37303
48.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 288
99.7%
ㅁ 1
 
0.3%
Arrows
ValueCountFrequency (%)
→ 1
100.0%
None
ValueCountFrequency (%)
【 1
50.0%
】 1
50.0%

처분기간
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)2.4%
Missing8958
Missing (%)89.6%
Infinite0
Infinite (%)0.0%
Mean12.303263
Minimum0
Maximum30
Zeros5
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T11:03:41.853049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q17
median15
Q315
95-th percentile15
Maximum30
Range30
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.6830543
Coefficient of variation (CV)0.38063515
Kurtosis0.58264859
Mean12.303263
Median Absolute Deviation (MAD)0
Skewness0.036157014
Sum12820
Variance21.930998
MonotonicityNot monotonic
2024-05-18T11:03:42.432915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
15 598
 
6.0%
7 287
 
2.9%
10 48
 
0.5%
20 16
 
0.2%
5 16
 
0.2%
3 16
 
0.2%
2 9
 
0.1%
22 9
 
0.1%
29 6
 
0.1%
0 5
 
0.1%
Other values (15) 32
 
0.3%
(Missing) 8958
89.6%
ValueCountFrequency (%)
0 5
 
0.1%
1 1
 
< 0.1%
2 9
 
0.1%
3 16
 
0.2%
4 2
 
< 0.1%
5 16
 
0.2%
6 2
 
< 0.1%
7 287
2.9%
8 2
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
30 3
 
< 0.1%
29 6
 
0.1%
28 1
 
< 0.1%
27 1
 
< 0.1%
25 2
 
< 0.1%
24 1
 
< 0.1%
23 3
 
< 0.1%
22 9
0.1%
20 16
0.2%
18 1
 
< 0.1%

영업장면적(㎡)
Real number (ℝ)

MISSING 

Distinct2965
Distinct (%)46.5%
Missing3624
Missing (%)36.2%
Infinite0
Infinite (%)0.0%
Mean162.18768
Minimum0
Maximum4911.2
Zeros8
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T11:03:42.930585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile21.5825
Q154.5975
median107.51
Q3169.4325
95-th percentile467.29
Maximum4911.2
Range4911.2
Interquartile range (IQR)114.835

Descriptive statistics

Standard deviation254.13454
Coefficient of variation (CV)1.5669164
Kurtosis86.154435
Mean162.18768
Median Absolute Deviation (MAD)55.85
Skewness7.46779
Sum1034108.7
Variance64584.364
MonotonicityNot monotonic
2024-05-18T11:03:43.408162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23.1 63
 
0.6%
29.7 48
 
0.5%
26.4 44
 
0.4%
49.5 40
 
0.4%
65.37 32
 
0.3%
66.0 31
 
0.3%
33.0 29
 
0.3%
129.6 29
 
0.3%
99.0 28
 
0.3%
59.4 24
 
0.2%
Other values (2955) 6008
60.1%
(Missing) 3624
36.2%
ValueCountFrequency (%)
0.0 8
0.1%
1.4 1
 
< 0.1%
2.4 1
 
< 0.1%
3.0 4
 
< 0.1%
3.24 1
 
< 0.1%
3.3 10
0.1%
3.44 1
 
< 0.1%
3.45 1
 
< 0.1%
3.84 1
 
< 0.1%
4.24 1
 
< 0.1%
ValueCountFrequency (%)
4911.2 2
 
< 0.1%
3251.08 10
0.1%
3005.79 2
 
< 0.1%
1993.41 4
 
< 0.1%
1911.26 3
 
< 0.1%
1868.99 1
 
< 0.1%
1839.21 6
0.1%
1823.19 4
 
< 0.1%
1756.15 1
 
< 0.1%
1695.15 6
0.1%

운영형태
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9953 
직영
 
43
(조합)위탁
 
4

Length

Max length6
Median length4
Mean length3.9922
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9953
99.5%
직영 43
 
0.4%
(조합)위탁 4
 
< 0.1%

Length

2024-05-18T11:03:43.867788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:03:44.207624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9953
99.5%
직영 43
 
0.4%
조합)위탁 4
 
< 0.1%

Interactions

2024-05-18T11:03:14.799835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:03:03.279331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:03:05.189592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:03:07.020633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:03:09.552165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:03:12.658195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:03:15.214164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:03:03.606559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:03:05.535694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:03:07.386014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:03:10.203365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:03:13.084040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:03:15.495200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:03:03.909376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:03:05.806287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:03:07.849741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:03:10.734411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:03:13.379450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:03:15.897596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:03:04.232446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:03:06.094591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:03:08.348492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:03:11.432287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:03:13.672974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:03:16.273725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:03:04.519304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:03:06.416650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:03:08.764837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:03:11.830963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:03:14.031196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:03:16.552569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:03:04.892009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:03:06.720482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:03:09.160013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:03:12.185688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:03:14.444616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-18T11:03:44.406238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자교부번호업종명업태명지도점검일자위반일자처분기간영업장면적(㎡)운영형태
처분일자1.0000.7100.5090.5671.000NaN0.3390.0950.364
교부번호0.7101.0000.5700.6720.711NaN0.3290.2330.721
업종명0.5090.5701.0001.0000.503NaN0.5940.256NaN
업태명0.5670.6721.0001.0000.563NaN0.6850.7150.587
지도점검일자1.0000.7110.5030.5631.000NaN0.3480.0890.355
위반일자NaNNaNNaNNaNNaN1.000NaNNaNNaN
처분기간0.3390.3290.5940.6850.348NaN1.0000.000NaN
영업장면적(㎡)0.0950.2330.2560.7150.089NaN0.0001.0000.000
운영형태0.3640.721NaN0.5870.355NaNNaN0.0001.000
2024-05-18T11:03:44.793902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영형태업종명
운영형태1.0001.000
업종명1.0001.000
2024-05-18T11:03:45.234818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자교부번호지도점검일자위반일자처분기간영업장면적(㎡)업종명운영형태
처분일자1.0000.5900.9990.998-0.169-0.0380.1840.364
교부번호0.5901.0000.5890.588-0.034-0.0270.2150.488
지도점검일자0.9990.5891.0000.998-0.174-0.0380.1820.355
위반일자0.9980.5880.9981.000-0.175-0.0360.0001.000
처분기간-0.169-0.034-0.174-0.1751.0000.0970.1630.000
영업장면적(㎡)-0.038-0.027-0.038-0.0360.0971.0000.1170.000
업종명0.1840.2150.1820.0000.1630.1171.0001.000
운영형태0.3640.4880.3551.0000.0000.0001.0001.000

Missing values

2024-05-18T11:03:17.086028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-18T11:03:17.862279image/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.
2024-05-18T11:03:18.446585image/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(㎡)운영형태
77532100002023020820170091537일반음식점한식낙곱상회서울특별시 서초구 사평대로57길 39-2, 지하1층 (반포동)서울특별시 서초구 반포동 738번지 11호 지하1층20221216처분확정과태료부과법 제71조 및 법 제75조20221216유통기한 경과제품 조리목적 보관(1차) -2022.12.16. 유통기한이 경과된 1개 제품 적발 (캡사이신 분말: `21.01.17.까지)과태료부과<NA>18.1<NA>
1401932100002006110919950098657일반음식점한식퀸<NA>서울특별시 서초구 서초동 1569번지 6호20061024처분확정영업소폐쇄식품위생법20061024시설물 전부 철거영업소폐쇄<NA>120.35<NA>
748432100002014032519990099814단란주점단란주점쿨서울특별시 서초구 강남대로89길 11, (반포동)서울특별시 서초구 반포동 722번지 0호20140304처분확정시정명령식품위생법 제44조20140304업종 종류 미표시(1차)시정명령<NA>136.03<NA>
1509832100002005041519940098322단란주점단란주점나사<NA>서울특별시 서초구 서초동 1339번지 7호20041209처분확정영업정지2월(2005.4.29-6.28)식품위생법20041209유흥접대부고용영업2차영업정지2월(2005.4.29-6.28)<NA>131.6<NA>
1723032100002003041519930098140일반음식점정종/대포집/소주방하나<NA>서울특별시 서초구 반포동 817번지20030311처분확정과태료20만원식품위생법 제78조20030415건강진단미필(영업주)과태료20만원<NA>37.9<NA>
775632100002013101420040098384건강기능식품일반판매업영업장판매(주)케이에프코리아<NA>서울특별시 서초구 서초동 1500번지 8호 명종빌딩 201호20130920처분확정영업소폐쇄건기법 위반20130920- 6개월이상 휴업영업소폐쇄<NA><NA><NA>
341932100002019052019970098817일반음식점경양식퓨어서울특별시 서초구 서초대로46길 100, (서초동)서울특별시 서초구 서초동 1566번지 5호20190402처분확정과태료50만원 부과식품위생법 제101조제2항 제1호20190402종업원 총2명중 2명 모두 건강진단 미실시(1차)과태료50만원 부과<NA>81.4<NA>
1219232100002008111119890098247제과점영업제과점영업쁘띠랑제<NA>서울특별시 서초구 양재동 291번지 19호20081110처분확정시정명령식품위생법 제7조20081110이물 혼입(1차)시정명령<NA>51.06<NA>
521232100002017081420160098045일반음식점기타오늘의 커피서울특별시 서초구 남부순환로358길 63, 102호 (양재동)서울특별시 서초구 양재동 2번지 28호 -10220170726처분확정과태료부과(20만원)제3조20170726조리장내 종업원 위생모 미착용(1차)과태료부과(20만원)<NA><NA><NA>
1627532100002004030319990100131일반음식점일식신이학<NA>서울특별시 서초구 잠원동 38번지 16호 (지상1층)20040116처분확정영업소폐쇄식품위생법 제58조1항20040116건물멸실영업소폐쇄<NA>81.31<NA>
시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)운영형태
307432100002019092719950098791일반음식점분식명동칼국수서울특별시 서초구 신반포로 194, 1층 7,8호 (반포동, 하차장)서울특별시 서초구 반포동 19번지 4호 하차장 1층 7호,8호20190723처분확정시정명령(행정처분명령서 수령 즉시)법 제71조, 법 제72조 및 법 제75조20190723조리식품(칼국수)에 이물(초파리) 혼입【1차 위반】시정명령(행정처분명령서 수령 즉시)<NA>41.89<NA>
895332100002012043020110098091일반음식점분식허브 앤 떡볶이<NA>서울특별시 서초구 양재동 290번지 5호 -10320120419처분확정영업소폐쇄식품위생법 제36조 및 제37조20120419영업시설물 전부 멸실영업소폐쇄<NA><NA><NA>
722532100002014082720010099084일반음식점한식돌판집서울특별시 서초구 서초대로73길 40, (서초동,강남오피스텔상가 101호)서울특별시 서초구 서초동 1308번지 25호 강남오피스텔상가 101호20140724처분확정영업정지제36조, 제37조20140724영업장외 영업행위(2차)영업정지7<NA><NA>
674232100002015051820080098441일반음식점한식빌리지서울특별시 서초구 나루터로 75, (잠원동,금산빌딩 지하1층)서울특별시 서초구 잠원동 14번지 16호 금산빌딩 지하1층20150113처분확정영업정지 45일식품위생법 제44조20150123손님이 노래 부르도록 허용(1차-2회)영업정지 45일15<NA><NA>
648632100002015110320020099145식품등 수입판매업식품등 수입판매업(주)티에프유<NA>서울특별시 서초구 반포동 549번지 11호20150924처분확정영업소폐쇄법 제71조, 법 제74조,법 제75조 및 법 제76조20150924영업시설물 멸실영업소폐쇄<NA><NA><NA>
717132100002014092320120098813일반음식점한식탱크서울특별시 서초구 효령로 426, 5층 (서초동)서울특별시 서초구 서초동 1340번지 1호 5층20140821처분확정과태료부과식품위생법 제44조20140529유흥접객행위(1차)과태료부과<NA><NA><NA>
862532100002012090620120098497일반음식점까페써니서울특별시 서초구 동산로19길 50, 지하1층 (양재동)서울특별시 서초구 양재동 280번지 9호 지하1층20120515처분확정시설개수명령제44조20120515-위반일시:2012.05.15(1회) 2012.05.19(2회) -위반내용:손님이 노래부르도록 하는 행위(1차-2회) -적발기관:서초서시설개수명령<NA><NA><NA>
1535232100002004122019980098469일반음식점한식전주고을집<NA>서울특별시 서초구 양재동 262번지 2호20041102처분확정영업소폐쇄58조제1항20041102시설물 전부철거영업소폐쇄<NA>63.92<NA>
50732100002023072520190098276일반음식점한식부엉이 산장서울특별시 서초구 강남대로65길 7, 1층 (서초동)서울특별시 서초구 서초동 1307번지 18호 1층20230608처분확정시정명령법 제71조, 법 제74조 및 법 제75조20230428신고된 영업장외 영업(1차위반) -2023.4.28. 19:23분경 신고된 영업장외 장소에 긴이테블 5개를 설치하고 손님들에게 술과 음식을 판매하는 옥외영업을 함.시정명령<NA><NA><NA>
1354832100002007071220010099750일반음식점경양식BMW(비엠더블유)<NA>서울특별시 서초구 양재동 276번지 11호 (지하1층)20070625처분확정영업정지1월(07.7.16~8.15까지) 및 과태료 200만원식품위생법 제21조20070625음향기기 설치(2차)영업정지1월(07.7.16~8.15까지) 및 과태료 200만원<NA>147.03<NA>

Duplicate rows

Most frequently occurring

시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)운영형태# duplicates
6032100002009091120070098954일반음식점경양식세시셀라(CECI CELA)<NA>서울특별시 서초구 방배동 797번지 7호 ,28호 1층20090903처분확정시정명령식품위생법 제36조 제37조 및 제71조20090903영업장외 영업행위(1차)시정명령<NA><NA><NA>4
7032100002010012620030099602일반음식점일식소진야식<NA>서울특별시 서초구 방배동 756번지 6호 (1층)20091202처분확정영업소폐쇄식품위생법 제36조, 제37조 및 제75조20091202영업 시설물 전부 철거영업소폐쇄<NA>9.9<NA>4
2932100002007010920020098075일반음식점한식왕창명가<NA>서울특별시 서초구 방배동 924번지 7호 1층20061130처분확정영업정지2월(2007.1.22~2007.3.21)식품위생법20061130청소년 주류제공(1차)영업정지2월(2007.1.22~2007.3.21)<NA><NA><NA>3
3132100002007033020020098075일반음식점한식왕창명가<NA>서울특별시 서초구 방배동 924번지 7호 1층20070328처분확정당초:영업정지2월(07.1.22~07.3.21),변경:영업정지2월(07.4.10~07.6.9) * 행정심판 기각 07.3.26식품위생법20070328청소년 주류제공(1차)당초:영업정지2월(07.1.22~07.3.21),변경:영업정지2월(07.4.10~07.6.9) * 행정심판 기각 07.3.26<NA><NA><NA>3
7832100002010070519950098368일반음식점호프/통닭버블뱅크<NA>서울특별시 서초구 양재동 276번지 12호 1층20100701처분확정시정명령제12조20100701닭고기원산지미표시시정명령<NA>30.26<NA>3
7932100002010070519950098368일반음식점호프/통닭버블뱅크<NA>서울특별시 서초구 양재동 276번지 12호 1층20100701처분확정시정명령제12조20100701닭고기원산지미표시시정명령<NA><NA><NA>3
8432100002010080219910098331일반음식점중국식리틀사이공<NA>서울특별시 서초구 서초동 1309번지 0호 동성빌딩 1층20100727처분확정시정명령제36조20100727영업장외영업행위시정명령<NA>189.26<NA>3
8632100002010080620060098173일반음식점통닭(치킨)악바리옛날치킨<NA>서울특별시 서초구 반포동 743번지 18호 1층20100805처분확정시정명령제44조20100805감판에 신고한 상호와 상이하게 표시시정명령<NA>23.1<NA>3
8932100002011010720010099348식품자동판매기영업식품자동판매기영업대영자동차공업사<NA>서울특별시 서초구 잠원동 35번지 25호20101206처분확정영업소폐쇄식품위생법 제36조, 제37조 및 제75조20101206시설물 멸실영업소폐쇄<NA><NA><NA>3
9132100002011022520020098075일반음식점한식왕창명가<NA>서울특별시 서초구 방배동 924번지 7호 1층20101224처분확정영업정지2개월-영업정지1월및과징금150만원제44조20101224청소년주류제공영업정지2개월-영업정지1월및과징금150만원<NA><NA><NA>3