Overview

Dataset statistics

Number of variables18
Number of observations10000
Missing cells14158
Missing cells (%)7.9%
Duplicate rows319
Duplicate rows (%)3.2%
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
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-10681/S/1/datasetView.do

Alerts

시군구코드 has constant value ""Constant
행정처분상태 has constant value ""Constant
Dataset has 319 (3.2%) duplicate rowsDuplicates
운영형태 is highly overall correlated with 위반일자 and 2 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
영업장면적(㎡) is highly overall correlated with 운영형태High correlation
운영형태 is highly imbalanced (97.5%)Imbalance
소재지도로명 has 405 (4.0%) missing valuesMissing
처분기간 has 9020 (90.2%) missing valuesMissing
영업장면적(㎡) has 4699 (47.0%) missing valuesMissing
위반일자 is highly skewed (γ1 = -55.29953242)Skewed

Reproduction

Analysis started2024-05-17 22:59:56.757043
Analysis finished2024-05-17 23:00:19.920832
Duration23.16 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
3240000
10000 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3240000
2nd row3240000
3rd row3240000
4th row3240000
5th row3240000

Common Values

ValueCountFrequency (%)
3240000 10000
100.0%

Length

2024-05-18T08:00:20.051275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:00:20.270862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3240000 10000
100.0%

처분일자
Real number (ℝ)

HIGH CORRELATION 

Distinct2533
Distinct (%)25.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20128025
Minimum20001227
Maximum20240513
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T08:00:20.610454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20001227
5-th percentile20041230
Q120090312
median20120822
Q320170203
95-th percentile20230720
Maximum20240513
Range239286
Interquartile range (IQR)79891

Descriptive statistics

Standard deviation54372.501
Coefficient of variation (CV)0.0027013332
Kurtosis-0.65082151
Mean20128025
Median Absolute Deviation (MAD)39994
Skewness0.25359608
Sum2.0128025 × 1011
Variance2.9563688 × 109
MonotonicityNot monotonic
2024-05-18T08:00:21.094918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20120705 139
 
1.4%
20120501 126
 
1.3%
20051117 107
 
1.1%
20230720 107
 
1.1%
20201202 74
 
0.7%
20230322 70
 
0.7%
20170203 59
 
0.6%
20120724 59
 
0.6%
20230601 57
 
0.6%
20120814 56
 
0.6%
Other values (2523) 9146
91.5%
ValueCountFrequency (%)
20001227 1
 
< 0.1%
20010222 1
 
< 0.1%
20020206 1
 
< 0.1%
20020218 1
 
< 0.1%
20020404 1
 
< 0.1%
20020416 1
 
< 0.1%
20020424 1
 
< 0.1%
20020429 1
 
< 0.1%
20020515 1
 
< 0.1%
20020520 5
0.1%
ValueCountFrequency (%)
20240513 1
< 0.1%
20240409 1
< 0.1%
20240408 1
< 0.1%
20240404 1
< 0.1%
20240328 2
< 0.1%
20240323 2
< 0.1%
20240316 1
< 0.1%
20240306 1
< 0.1%
20240305 1
< 0.1%
20240229 1
< 0.1%

교부번호
Real number (ℝ)

HIGH CORRELATION 

Distinct5487
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0041222 × 1010
Minimum1.899012 × 1010
Maximum2.0230156 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T08:00:21.496229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.899012 × 1010
5-th percentile1.989012 × 1010
Q11.9990122 × 1010
median2.0040122 × 1010
Q32.010012 × 1010
95-th percentile2.018012 × 1010
Maximum2.0230156 × 1010
Range1.2400356 × 109
Interquartile range (IQR)1.0999869 × 108

Descriptive statistics

Standard deviation86717706
Coefficient of variation (CV)0.004326967
Kurtosis8.5726518
Mean2.0041222 × 1010
Median Absolute Deviation (MAD)50000752
Skewness-1.0783073
Sum2.0041222 × 1014
Variance7.5199606 × 1015
MonotonicityNot monotonic
2024-05-18T08:00:22.012249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20010120054 48
 
0.5%
20050121038 41
 
0.4%
20080120279 32
 
0.3%
20000120950 29
 
0.3%
20030121201 25
 
0.2%
20060120348 22
 
0.2%
19950120815 22
 
0.2%
20020120046 20
 
0.2%
20110120803 20
 
0.2%
20000120002 20
 
0.2%
Other values (5477) 9721
97.2%
ValueCountFrequency (%)
18990120002 4
< 0.1%
19520120001 1
 
< 0.1%
19700120001 1
 
< 0.1%
19710120001 1
 
< 0.1%
19720120004 1
 
< 0.1%
19750120003 4
< 0.1%
19760120005 4
< 0.1%
19760120011 1
 
< 0.1%
19770120015 1
 
< 0.1%
19770120021 2
< 0.1%
ValueCountFrequency (%)
20230155554 1
< 0.1%
20230155193 1
< 0.1%
20230155138 1
< 0.1%
20230155032 1
< 0.1%
20230154799 1
< 0.1%
20230154662 1
< 0.1%
20220147942 1
< 0.1%
20220147790 1
< 0.1%
20220147586 1
< 0.1%
20220147385 2
< 0.1%

업종명
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반음식점
6320 
휴게음식점
 
588
즉석판매제조가공업
 
565
유흥주점영업
 
455
식품제조가공업
 
421
Other values (15)
1651 

Length

Max length13
Median length5
Mean length5.7279
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row식품등 수입판매업
2nd row일반음식점
3rd row휴게음식점
4th row일반음식점
5th row일반음식점

Common Values

ValueCountFrequency (%)
일반음식점 6320
63.2%
휴게음식점 588
 
5.9%
즉석판매제조가공업 565
 
5.7%
유흥주점영업 455
 
4.5%
식품제조가공업 421
 
4.2%
단란주점 390
 
3.9%
건강기능식품일반판매업 371
 
3.7%
식품등 수입판매업 237
 
2.4%
제과점영업 189
 
1.9%
유통전문판매업 153
 
1.5%
Other values (10) 311
 
3.1%

Length

2024-05-18T08:00:22.468344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반음식점 6320
61.7%
휴게음식점 588
 
5.7%
즉석판매제조가공업 565
 
5.5%
유흥주점영업 455
 
4.4%
식품제조가공업 421
 
4.1%
단란주점 390
 
3.8%
건강기능식품일반판매업 371
 
3.6%
식품등 237
 
2.3%
수입판매업 237
 
2.3%
제과점영업 189
 
1.8%
Other values (11) 464
 
4.5%

업태명
Text

Distinct68
Distinct (%)0.7%
Missing31
Missing (%)0.3%
Memory size156.2 KiB
2024-05-18T08:00:22.940155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length4.2068412
Min length2

Characters and Unicode

Total characters41938
Distinct characters146
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

Unique5 ?
Unique (%)0.1%

Sample

1st row식품등 수입판매업
2nd row한식
3rd row일반조리판매
4th row중국식
5th row한식
ValueCountFrequency (%)
한식 2801
27.2%
호프/통닭 1219
 
11.8%
즉석판매제조가공업 565
 
5.5%
식품제조가공업 421
 
4.1%
단란주점 390
 
3.8%
룸살롱 384
 
3.7%
기타 343
 
3.3%
분식 340
 
3.3%
통닭(치킨 280
 
2.7%
중국식 270
 
2.6%
Other values (59) 3299
32.0%
2024-05-18T08:00:23.928867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 4931
 
11.8%
한 2801
 
6.7%
업 2111
 
5.0%
통 1725
 
4.1%
매 1553
 
3.7%
판 1552
 
3.7%
/ 1521
 
3.6%
닭 1499
 
3.6%
호 1219
 
2.9%
프 1219
 
2.9%
Other values (136) 21807
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 39260
93.6%
Other Punctuation 1531
 
3.7%
Open Punctuation 402
 
1.0%
Close Punctuation 402
 
1.0%
Space Separator 343
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 4931
 
12.6%
한 2801
 
7.1%
업 2111
 
5.4%
통 1725
 
4.4%
매 1553
 
4.0%
판 1552
 
4.0%
닭 1499
 
3.8%
호 1219
 
3.1%
프 1219
 
3.1%
제 1176
 
3.0%
Other values (131) 19474
49.6%
Other Punctuation
ValueCountFrequency (%)
/ 1521
99.3%
, 10
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 402
100.0%
Close Punctuation
ValueCountFrequency (%)
) 402
100.0%
Space Separator
ValueCountFrequency (%)
343
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 39260
93.6%
Common 2678
 
6.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 4931
 
12.6%
한 2801
 
7.1%
업 2111
 
5.4%
통 1725
 
4.4%
매 1553
 
4.0%
판 1552
 
4.0%
닭 1499
 
3.8%
호 1219
 
3.1%
프 1219
 
3.1%
제 1176
 
3.0%
Other values (131) 19474
49.6%
Common
ValueCountFrequency (%)
/ 1521
56.8%
( 402
 
15.0%
) 402
 
15.0%
343
 
12.8%
, 10
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 39260
93.6%
ASCII 2678
 
6.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 4931
 
12.6%
한 2801
 
7.1%
업 2111
 
5.4%
통 1725
 
4.4%
매 1553
 
4.0%
판 1552
 
4.0%
닭 1499
 
3.8%
호 1219
 
3.1%
프 1219
 
3.1%
제 1176
 
3.0%
Other values (131) 19474
49.6%
ASCII
ValueCountFrequency (%)
/ 1521
56.8%
( 402
 
15.0%
) 402
 
15.0%
343
 
12.8%
, 10
 
0.4%

업소명
Text

Distinct5329
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T08:00:25.056062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28
Mean length5.5891
Min length1

Characters and Unicode

Total characters55891
Distinct characters983
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

Unique3414 ?
Unique (%)34.1%

Sample

1st row세경통상
2nd row제이와이푸드
3rd row엄마식당
4th row태화반점
5th row종로계림닭도리탕원조 천호점
ValueCountFrequency (%)
천호점 68
 
0.6%
주식회사 63
 
0.6%
투다리 46
 
0.4%
신흥생고기 41
 
0.4%
김밥천국 39
 
0.3%
24시북경 39
 
0.3%
성농찬 32
 
0.3%
길동점 30
 
0.3%
하이파이브(hi-five 29
 
0.3%
청진동해장국 26
 
0.2%
Other values (5703) 10914
96.4%
2024-05-18T08:00:26.698640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1334
 
2.4%
이 1305
 
2.3%
점 1064
 
1.9%
주 1032
 
1.8%
리 925
 
1.7%
스 903
 
1.6%
) 897
 
1.6%
( 893
 
1.6%
식 784
 
1.4%
마 635
 
1.1%
Other values (973) 46119
82.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 49967
89.4%
Space Separator 1334
 
2.4%
Uppercase Letter 1100
 
2.0%
Lowercase Letter 915
 
1.6%
Close Punctuation 897
 
1.6%
Open Punctuation 893
 
1.6%
Decimal Number 551
 
1.0%
Other Punctuation 154
 
0.3%
Dash Punctuation 71
 
0.1%
Letter Number 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1305
 
2.6%
점 1064
 
2.1%
주 1032
 
2.1%
리 925
 
1.9%
스 903
 
1.8%
식 784
 
1.6%
마 635
 
1.3%
동 592
 
1.2%
호 589
 
1.2%
사 508
 
1.0%
Other values (895) 41630
83.3%
Uppercase Letter
ValueCountFrequency (%)
A 90
 
8.2%
C 88
 
8.0%
I 80
 
7.3%
P 75
 
6.8%
O 71
 
6.5%
B 67
 
6.1%
S 67
 
6.1%
E 57
 
5.2%
H 55
 
5.0%
T 55
 
5.0%
Other values (16) 395
35.9%
Lowercase Letter
ValueCountFrequency (%)
e 137
15.0%
i 110
12.0%
a 100
10.9%
f 68
 
7.4%
n 61
 
6.7%
c 54
 
5.9%
o 53
 
5.8%
l 45
 
4.9%
r 40
 
4.4%
v 32
 
3.5%
Other values (15) 215
23.5%
Decimal Number
ValueCountFrequency (%)
2 119
21.6%
0 107
19.4%
4 65
11.8%
1 63
11.4%
8 46
 
8.3%
9 43
 
7.8%
5 32
 
5.8%
3 31
 
5.6%
7 31
 
5.6%
6 14
 
2.5%
Other Punctuation
ValueCountFrequency (%)
& 59
38.3%
, 23
 
14.9%
. 22
 
14.3%
; 15
 
9.7%
' 13
 
8.4%
？ 7
 
4.5%
! 7
 
4.5%
/ 4
 
2.6%
% 2
 
1.3%
? 2
 
1.3%
Letter Number
ValueCountFrequency (%)
Ⅱ 7
87.5%
Ⅰ 1
 
12.5%
Space Separator
ValueCountFrequency (%)
1334
100.0%
Close Punctuation
ValueCountFrequency (%)
) 897
100.0%
Open Punctuation
ValueCountFrequency (%)
( 893
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 71
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 49935
89.3%
Common 3901
 
7.0%
Latin 2023
 
3.6%
Han 32
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1305
 
2.6%
점 1064
 
2.1%
주 1032
 
2.1%
리 925
 
1.9%
스 903
 
1.8%
식 784
 
1.6%
마 635
 
1.3%
동 592
 
1.2%
호 589
 
1.2%
사 508
 
1.0%
Other values (872) 41598
83.3%
Latin
ValueCountFrequency (%)
e 137
 
6.8%
i 110
 
5.4%
a 100
 
4.9%
A 90
 
4.4%
C 88
 
4.3%
I 80
 
4.0%
P 75
 
3.7%
O 71
 
3.5%
f 68
 
3.4%
B 67
 
3.3%
Other values (43) 1137
56.2%
Common
ValueCountFrequency (%)
1334
34.2%
) 897
23.0%
( 893
22.9%
2 119
 
3.1%
0 107
 
2.7%
- 71
 
1.8%
4 65
 
1.7%
1 63
 
1.6%
& 59
 
1.5%
8 46
 
1.2%
Other values (15) 247
 
6.3%
Han
ValueCountFrequency (%)
辛 3
 
9.4%
鎭 2
 
6.2%
茶 2
 
6.2%
木 2
 
6.2%
房 2
 
6.2%
眞 2
 
6.2%
火 2
 
6.2%
水 2
 
6.2%
安 1
 
3.1%
味 1
 
3.1%
Other values (13) 13
40.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 49935
89.3%
ASCII 5908
 
10.6%
CJK 32
 
0.1%
Number Forms 8
 
< 0.1%
None 7
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1334
22.6%
) 897
15.2%
( 893
15.1%
e 137
 
2.3%
2 119
 
2.0%
i 110
 
1.9%
0 107
 
1.8%
a 100
 
1.7%
A 90
 
1.5%
C 88
 
1.5%
Other values (64) 2033
34.4%
Hangul
ValueCountFrequency (%)
이 1305
 
2.6%
점 1064
 
2.1%
주 1032
 
2.1%
리 925
 
1.9%
스 903
 
1.8%
식 784
 
1.6%
마 635
 
1.3%
동 592
 
1.2%
호 589
 
1.2%
사 508
 
1.0%
Other values (872) 41598
83.3%
None
ValueCountFrequency (%)
？ 7
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 7
87.5%
Ⅰ 1
 
12.5%
CJK
ValueCountFrequency (%)
辛 3
 
9.4%
鎭 2
 
6.2%
茶 2
 
6.2%
木 2
 
6.2%
房 2
 
6.2%
眞 2
 
6.2%
火 2
 
6.2%
水 2
 
6.2%
安 1
 
3.1%
味 1
 
3.1%
Other values (13) 13
40.6%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

소재지도로명
Text

MISSING 

Distinct4297
Distinct (%)44.8%
Missing405
Missing (%)4.0%
Memory size156.2 KiB
2024-05-18T08:00:27.484990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length57
Mean length29.192392
Min length22

Characters and Unicode

Total characters280101
Distinct characters358
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

Unique2430 ?
Unique (%)25.3%

Sample

1st row서울특별시 강동구 올림픽로 598, (성내동,302호)
2nd row서울특별시 강동구 천호대로163길 35, 1층 101호 (천호동, 금탑빌라트)
3rd row서울특별시 강동구 천호대로 1057, (천호동)
4th row서울특별시 강동구 아리수로 376-1, (고덕동)
5th row서울특별시 강동구 올림픽로70길 61, 두산위브센티움 1층 108호 (천호동)
ValueCountFrequency (%)
서울특별시 9595
 
18.5%
강동구 9595
 
18.5%
천호동 1901
 
3.7%
성내동 1819
 
3.5%
길동 1344
 
2.6%
1층 850
 
1.6%
양재대로 745
 
1.4%
암사동 742
 
1.4%
천호대로 626
 
1.2%
명일동 606
 
1.2%
Other values (2734) 24116
46.4%
2024-05-18T08:00:28.843616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42383
 
15.1%
동 20010
 
7.1%
, 13002
 
4.6%
1 12730
 
4.5%
구 10501
 
3.7%
( 10198
 
3.6%
) 10198
 
3.6%
강 9941
 
3.5%
시 9644
 
3.4%
서 9626
 
3.4%
Other values (348) 131868
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 158262
56.5%
Decimal Number 44948
 
16.0%
Space Separator 42383
 
15.1%
Other Punctuation 13032
 
4.7%
Open Punctuation 10198
 
3.6%
Close Punctuation 10198
 
3.6%
Dash Punctuation 797
 
0.3%
Uppercase Letter 187
 
0.1%
Lowercase Letter 52
 
< 0.1%
Math Symbol 44
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 20010
 
12.6%
구 10501
 
6.6%
강 9941
 
6.3%
시 9644
 
6.1%
서 9626
 
6.1%
울 9625
 
6.1%
별 9595
 
6.1%
특 9595
 
6.1%
로 9340
 
5.9%
길 6912
 
4.4%
Other values (293) 53473
33.8%
Uppercase Letter
ValueCountFrequency (%)
B 72
38.5%
S 19
 
10.2%
G 16
 
8.6%
A 16
 
8.6%
K 11
 
5.9%
D 7
 
3.7%
I 7
 
3.7%
P 6
 
3.2%
R 5
 
2.7%
N 5
 
2.7%
Other values (9) 23
 
12.3%
Lowercase Letter
ValueCountFrequency (%)
l 8
15.4%
n 5
9.6%
t 5
9.6%
i 5
9.6%
o 4
7.7%
a 4
7.7%
s 3
 
5.8%
k 3
 
5.8%
b 3
 
5.8%
d 3
 
5.8%
Other values (5) 9
17.3%
Decimal Number
ValueCountFrequency (%)
1 12730
28.3%
2 5090
 
11.3%
5 4176
 
9.3%
3 4091
 
9.1%
0 4083
 
9.1%
7 3466
 
7.7%
4 3441
 
7.7%
6 2707
 
6.0%
8 2647
 
5.9%
9 2517
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 13002
99.8%
. 13
 
0.1%
@ 5
 
< 0.1%
/ 4
 
< 0.1%
; 4
 
< 0.1%
& 4
 
< 0.1%
Space Separator
ValueCountFrequency (%)
42383
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10198
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10198
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 797
100.0%
Math Symbol
ValueCountFrequency (%)
~ 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 158262
56.5%
Common 121600
43.4%
Latin 239
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 20010
 
12.6%
구 10501
 
6.6%
강 9941
 
6.3%
시 9644
 
6.1%
서 9626
 
6.1%
울 9625
 
6.1%
별 9595
 
6.1%
특 9595
 
6.1%
로 9340
 
5.9%
길 6912
 
4.4%
Other values (293) 53473
33.8%
Latin
ValueCountFrequency (%)
B 72
30.1%
S 19
 
7.9%
G 16
 
6.7%
A 16
 
6.7%
K 11
 
4.6%
l 8
 
3.3%
D 7
 
2.9%
I 7
 
2.9%
P 6
 
2.5%
n 5
 
2.1%
Other values (24) 72
30.1%
Common
ValueCountFrequency (%)
42383
34.9%
, 13002
 
10.7%
1 12730
 
10.5%
( 10198
 
8.4%
) 10198
 
8.4%
2 5090
 
4.2%
5 4176
 
3.4%
3 4091
 
3.4%
0 4083
 
3.4%
7 3466
 
2.9%
Other values (11) 12183
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 158262
56.5%
ASCII 121839
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
42383
34.8%
, 13002
 
10.7%
1 12730
 
10.4%
( 10198
 
8.4%
) 10198
 
8.4%
2 5090
 
4.2%
5 4176
 
3.4%
3 4091
 
3.4%
0 4083
 
3.4%
7 3466
 
2.8%
Other values (45) 12422
 
10.2%
Hangul
ValueCountFrequency (%)
동 20010
 
12.6%
구 10501
 
6.6%
강 9941
 
6.3%
시 9644
 
6.1%
서 9626
 
6.1%
울 9625
 
6.1%
별 9595
 
6.1%
특 9595
 
6.1%
로 9340
 
5.9%
길 6912
 
4.4%
Other values (293) 53473
33.8%

소재지지번
Text

Distinct4344
Distinct (%)43.5%
Missing3
Missing (%)< 0.1%
Memory size156.2 KiB
2024-05-18T08:00:29.938939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length95
Median length60
Mean length27.378313
Min length15

Characters and Unicode

Total characters273701
Distinct characters359
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

Unique2393 ?
Unique (%)23.9%

Sample

1st row서울특별시 강동구 성내동 112번지 65호 302호
2nd row서울특별시 강동구 천호동 166번지 115호 금탑빌라트
3rd row서울특별시 강동구 천호동 451번지 20호
4th row서울특별시 강동구 고덕동 165번지 9호
5th row서울특별시 강동구 천호동 414번지 두산위브센티움
ValueCountFrequency (%)
서울특별시 9997
18.5%
강동구 9997
18.5%
천호동 2746
 
5.1%
성내동 2359
 
4.4%
길동 1809
 
3.3%
1호 985
 
1.8%
암사동 979
 
1.8%
명일동 913
 
1.7%
1층 749
 
1.4%
2호 727
 
1.3%
Other values (1989) 22898
42.3%
2024-05-18T08:00:31.564635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
70369
25.7%
동 20298
 
7.4%
호 13039
 
4.8%
지 10778
 
3.9%
강 10226
 
3.7%
시 10047
 
3.7%
서 10028
 
3.7%
울 10027
 
3.7%
구 10017
 
3.7%
별 10012
 
3.7%
Other values (349) 98860
36.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 150655
55.0%
Space Separator 70369
25.7%
Decimal Number 49960
 
18.3%
Open Punctuation 648
 
0.2%
Close Punctuation 648
 
0.2%
Other Punctuation 576
 
0.2%
Dash Punctuation 569
 
0.2%
Uppercase Letter 202
 
0.1%
Lowercase Letter 58
 
< 0.1%
Math Symbol 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 20298
13.5%
호 13039
 
8.7%
지 10778
 
7.2%
강 10226
 
6.8%
시 10047
 
6.7%
서 10028
 
6.7%
울 10027
 
6.7%
구 10017
 
6.6%
별 10012
 
6.6%
번 10006
 
6.6%
Other values (295) 36177
24.0%
Uppercase Letter
ValueCountFrequency (%)
B 63
31.2%
G 25
 
12.4%
S 24
 
11.9%
A 20
 
9.9%
K 13
 
6.4%
M 8
 
4.0%
D 7
 
3.5%
I 7
 
3.5%
L 6
 
3.0%
P 6
 
3.0%
Other values (7) 23
 
11.4%
Lowercase Letter
ValueCountFrequency (%)
l 10
17.2%
i 7
12.1%
t 7
12.1%
n 5
8.6%
o 4
 
6.9%
a 4
 
6.9%
b 3
 
5.2%
d 3
 
5.2%
u 3
 
5.2%
k 3
 
5.2%
Other values (6) 9
15.5%
Decimal Number
ValueCountFrequency (%)
1 9852
19.7%
4 8166
16.3%
2 6378
12.8%
3 6050
12.1%
5 5174
10.4%
0 3990
8.0%
8 2828
 
5.7%
6 2768
 
5.5%
9 2468
 
4.9%
7 2286
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 544
94.4%
. 14
 
2.4%
@ 6
 
1.0%
; 4
 
0.7%
/ 4
 
0.7%
& 4
 
0.7%
Space Separator
ValueCountFrequency (%)
70369
100.0%
Open Punctuation
ValueCountFrequency (%)
( 648
100.0%
Close Punctuation
ValueCountFrequency (%)
) 648
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 569
100.0%
Math Symbol
ValueCountFrequency (%)
~ 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 150655
55.0%
Common 122786
44.9%
Latin 260
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 20298
13.5%
호 13039
 
8.7%
지 10778
 
7.2%
강 10226
 
6.8%
시 10047
 
6.7%
서 10028
 
6.7%
울 10027
 
6.7%
구 10017
 
6.6%
별 10012
 
6.6%
번 10006
 
6.6%
Other values (295) 36177
24.0%
Latin
ValueCountFrequency (%)
B 63
24.2%
G 25
 
9.6%
S 24
 
9.2%
A 20
 
7.7%
K 13
 
5.0%
l 10
 
3.8%
M 8
 
3.1%
D 7
 
2.7%
i 7
 
2.7%
I 7
 
2.7%
Other values (23) 76
29.2%
Common
ValueCountFrequency (%)
70369
57.3%
1 9852
 
8.0%
4 8166
 
6.7%
2 6378
 
5.2%
3 6050
 
4.9%
5 5174
 
4.2%
0 3990
 
3.2%
8 2828
 
2.3%
6 2768
 
2.3%
9 2468
 
2.0%
Other values (11) 4743
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 150655
55.0%
ASCII 123046
45.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
70369
57.2%
1 9852
 
8.0%
4 8166
 
6.6%
2 6378
 
5.2%
3 6050
 
4.9%
5 5174
 
4.2%
0 3990
 
3.2%
8 2828
 
2.3%
6 2768
 
2.2%
9 2468
 
2.0%
Other values (44) 5003
 
4.1%
Hangul
ValueCountFrequency (%)
동 20298
13.5%
호 13039
 
8.7%
지 10778
 
7.2%
강 10226
 
6.8%
시 10047
 
6.7%
서 10028
 
6.7%
울 10027
 
6.7%
구 10017
 
6.6%
별 10012
 
6.6%
번 10006
 
6.6%
Other values (295) 36177
24.0%

지도점검일자
Real number (ℝ)

HIGH CORRELATION 

Distinct2851
Distinct (%)28.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20126835
Minimum20000716
Maximum20240312
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T08:00:32.238455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000716
5-th percentile20041104
Q120090206
median20120611
Q320161230
95-th percentile20230703
Maximum20240312
Range239596
Interquartile range (IQR)71023.5

Descriptive statistics

Standard deviation54300.083
Coefficient of variation (CV)0.0026978948
Kurtosis-0.63302837
Mean20126835
Median Absolute Deviation (MAD)39983
Skewness0.24669737
Sum2.0126835 × 1011
Variance2.948499 × 109
MonotonicityNot monotonic
2024-05-18T08:00:32.741662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20120611 193
 
1.9%
20230703 174
 
1.7%
20120320 128
 
1.3%
20230720 127
 
1.3%
20050712 106
 
1.1%
20170116 79
 
0.8%
20230919 74
 
0.7%
20230214 69
 
0.7%
20201013 68
 
0.7%
20230102 61
 
0.6%
Other values (2841) 8921
89.2%
ValueCountFrequency (%)
20000716 1
< 0.1%
20000918 1
< 0.1%
20001227 1
< 0.1%
20010222 1
< 0.1%
20011217 2
< 0.1%
20020201 1
< 0.1%
20020315 1
< 0.1%
20020330 1
< 0.1%
20020401 2
< 0.1%
20020404 2
< 0.1%
ValueCountFrequency (%)
20240312 1
 
< 0.1%
20240306 2
 
< 0.1%
20240223 1
 
< 0.1%
20240214 2
 
< 0.1%
20240213 1
 
< 0.1%
20240206 1
 
< 0.1%
20240118 2
 
< 0.1%
20240117 1
 
< 0.1%
20240110 34
0.3%
20240104 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

2024-05-18T08:00:33.247786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:00:33.631932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
처분확정 10000
100.0%

처분명
Text

Distinct800
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T08:00:34.364172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length61
Mean length6.8535
Min length2

Characters and Unicode

Total characters68535
Distinct characters196
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

Unique490 ?
Unique (%)4.9%

Sample

1st row영업소폐쇄
2nd row과태료부과
3rd row영업소폐쇄
4th row시정명령
5th row영업정지
ValueCountFrequency (%)
과태료부과 2585
20.6%
영업소폐쇄 2094
16.7%
시정명령 1542
12.3%
영업정지 1251
 
10.0%
시설개수명령 337
 
2.7%
과징금부과 298
 
2.4%
과태료 237
 
1.9%
20만원 214
 
1.7%
부과 193
 
1.5%
및 182
 
1.5%
Other values (888) 3601
28.7%
2024-05-18T08:00:35.790158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 8146
 
11.9%
부 4151
 
6.1%
영 3898
 
5.7%
업 3896
 
5.7%
료 3498
 
5.1%
태 3446
 
5.0%
정 3406
 
5.0%
0 2690
 
3.9%
2571
 
3.8%
소 2392
 
3.5%
Other values (186) 30441
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55185
80.5%
Decimal Number 7925
 
11.6%
Space Separator 2571
 
3.8%
Other Punctuation 1094
 
1.6%
Open Punctuation 780
 
1.1%
Close Punctuation 776
 
1.1%
Math Symbol 174
 
0.3%
Dash Punctuation 28
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 8146
14.8%
부 4151
 
7.5%
영 3898
 
7.1%
업 3896
 
7.1%
료 3498
 
6.3%
태 3446
 
6.2%
정 3406
 
6.2%
소 2392
 
4.3%
폐 2121
 
3.8%
쇄 2108
 
3.8%
Other values (158) 18123
32.8%
Decimal Number
ValueCountFrequency (%)
0 2690
33.9%
2 1637
20.7%
1 1345
17.0%
3 425
 
5.4%
6 396
 
5.0%
5 391
 
4.9%
4 377
 
4.8%
8 270
 
3.4%
7 211
 
2.7%
9 183
 
2.3%
Other Punctuation
ValueCountFrequency (%)
. 782
71.5%
, 286
 
26.1%
% 10
 
0.9%
: 9
 
0.8%
/ 4
 
0.4%
？ 2
 
0.2%
; 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 159
91.4%
+ 11
 
6.3%
× 2
 
1.1%
= 2
 
1.1%
Open Punctuation
ValueCountFrequency (%)
( 777
99.6%
[ 3
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 773
99.6%
] 3
 
0.4%
Space Separator
ValueCountFrequency (%)
2571
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Lowercase Letter
ValueCountFrequency (%)
x 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55185
80.5%
Common 13348
 
19.5%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 8146
14.8%
부 4151
 
7.5%
영 3898
 
7.1%
업 3896
 
7.1%
료 3498
 
6.3%
태 3446
 
6.2%
정 3406
 
6.2%
소 2392
 
4.3%
폐 2121
 
3.8%
쇄 2108
 
3.8%
Other values (158) 18123
32.8%
Common
ValueCountFrequency (%)
0 2690
20.2%
2571
19.3%
2 1637
12.3%
1 1345
10.1%
. 782
 
5.9%
( 777
 
5.8%
) 773
 
5.8%
3 425
 
3.2%
6 396
 
3.0%
5 391
 
2.9%
Other values (17) 1561
11.7%
Latin
ValueCountFrequency (%)
x 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55171
80.5%
ASCII 13346
 
19.5%
Compat Jamo 14
 
< 0.1%
None 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 8146
14.8%
부 4151
 
7.5%
영 3898
 
7.1%
업 3896
 
7.1%
료 3498
 
6.3%
태 3446
 
6.2%
정 3406
 
6.2%
소 2392
 
4.3%
폐 2121
 
3.8%
쇄 2108
 
3.8%
Other values (157) 18109
32.8%
ASCII
ValueCountFrequency (%)
0 2690
20.2%
2571
19.3%
2 1637
12.3%
1 1345
10.1%
. 782
 
5.9%
( 777
 
5.8%
) 773
 
5.8%
3 425
 
3.2%
6 396
 
3.0%
5 391
 
2.9%
Other values (16) 1559
11.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 14
100.0%
None
ValueCountFrequency (%)
× 2
50.0%
？ 2
50.0%

법적근거
Text

Distinct819
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T08:00:36.639717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length45
Mean length14.4421
Min length2

Characters and Unicode

Total characters144421
Distinct characters153
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique396 ?
Unique (%)4.0%

Sample

1st row식품위생법 제36조 및 제75조
2nd row법 제101조제4항1호
3rd row식위37조6항 세무서에폐업신고
4th row식품위생법 제36조, 제75조 제1항 제6호
5th row법 제75조
ValueCountFrequency (%)
법 5702
18.5%
식품위생법 3784
 
12.3%
및 2180
 
7.1%
제75조 1945
 
6.3%
제71조 1279
 
4.1%
제1항 888
 
2.9%
제37조 862
 
2.8%
제36조 739
 
2.4%
제101조제2항제1호 633
 
2.1%
제76조 489
 
1.6%
Other values (623) 12369
40.1%
2024-05-18T08:00:37.926586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20889
14.5%
제 18693
12.9%
조 14588
 
10.1%
법 12214
 
8.5%
1 8468
 
5.9%
7 7365
 
5.1%
식 6481
 
4.5%
위 6287
 
4.4%
품 5435
 
3.8%
생 5165
 
3.6%
Other values (143) 38836
26.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 84164
58.3%
Decimal Number 36643
25.4%
Space Separator 20889
 
14.5%
Other Punctuation 2451
 
1.7%
Close Punctuation 137
 
0.1%
Open Punctuation 137
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 18693
22.2%
조 14588
17.3%
법 12214
14.5%
식 6481
 
7.7%
위 6287
 
7.5%
품 5435
 
6.5%
생 5165
 
6.1%
항 4317
 
5.1%
및 2299
 
2.7%
호 2088
 
2.5%
Other values (125) 6597
 
7.8%
Decimal Number
ValueCountFrequency (%)
1 8468
23.1%
7 7365
20.1%
4 3776
10.3%
3 3754
10.2%
5 3738
10.2%
2 3155
 
8.6%
6 2214
 
6.0%
0 2210
 
6.0%
8 1701
 
4.6%
9 262
 
0.7%
Other Punctuation
ValueCountFrequency (%)
, 2381
97.1%
. 68
 
2.8%
？ 2
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 135
98.5%
] 2
 
1.5%
Open Punctuation
ValueCountFrequency (%)
( 135
98.5%
[ 2
 
1.5%
Space Separator
ValueCountFrequency (%)
20889
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 84164
58.3%
Common 60257
41.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 18693
22.2%
조 14588
17.3%
법 12214
14.5%
식 6481
 
7.7%
위 6287
 
7.5%
품 5435
 
6.5%
생 5165
 
6.1%
항 4317
 
5.1%
및 2299
 
2.7%
호 2088
 
2.5%
Other values (125) 6597
 
7.8%
Common
ValueCountFrequency (%)
20889
34.7%
1 8468
14.1%
7 7365
 
12.2%
4 3776
 
6.3%
3 3754
 
6.2%
5 3738
 
6.2%
2 3155
 
5.2%
, 2381
 
4.0%
6 2214
 
3.7%
0 2210
 
3.7%
Other values (8) 2307
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 84158
58.3%
ASCII 60255
41.7%
Compat Jamo 6
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20889
34.7%
1 8468
14.1%
7 7365
 
12.2%
4 3776
 
6.3%
3 3754
 
6.2%
5 3738
 
6.2%
2 3155
 
5.2%
, 2381
 
4.0%
6 2214
 
3.7%
0 2210
 
3.7%
Other values (7) 2305
 
3.8%
Hangul
ValueCountFrequency (%)
제 18693
22.2%
조 14588
17.3%
법 12214
14.5%
식 6481
 
7.7%
위 6287
 
7.5%
품 5435
 
6.5%
생 5165
 
6.1%
항 4317
 
5.1%
및 2299
 
2.7%
호 2088
 
2.5%
Other values (122) 6591
 
7.8%
Compat Jamo
ValueCountFrequency (%)
ㅈ 4
66.7%
ㅍ 1
 
16.7%
ㅗ 1
 
16.7%
None
ValueCountFrequency (%)
？ 2
100.0%

위반일자
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct2989
Distinct (%)29.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20120765
Minimum2004040
Maximum20440729
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T08:00:38.406002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2004040
5-th percentile20041118
Q120090209
median20120611
Q320161228
95-th percentile20221231
Maximum20440729
Range18436689
Interquartile range (IQR)71018.75

Descriptive statistics

Standard deviation318071.09
Coefficient of variation (CV)0.015808101
Kurtosis3145.3242
Mean20120765
Median Absolute Deviation (MAD)39899
Skewness-55.299532
Sum2.0120765 × 1011
Variance1.0116922 × 1011
MonotonicityNot monotonic
2024-05-18T08:00:38.843999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20221231 287
 
2.9%
20120611 192
 
1.9%
20230101 162
 
1.6%
20120320 135
 
1.4%
20050712 102
 
1.0%
20170116 95
 
0.9%
20201013 74
 
0.7%
20170126 65
 
0.7%
20141231 47
 
0.5%
20130401 46
 
0.5%
Other values (2979) 8795
87.9%
ValueCountFrequency (%)
2004040 1
< 0.1%
2006122 1
< 0.1%
2051110 1
< 0.1%
20010206 1
< 0.1%
20010222 1
< 0.1%
20011129 1
< 0.1%
20020201 1
< 0.1%
20020207 1
< 0.1%
20020315 1
< 0.1%
20020330 1
< 0.1%
ValueCountFrequency (%)
20440729 1
 
< 0.1%
20240312 1
 
< 0.1%
20240306 2
 
< 0.1%
20240221 1
 
< 0.1%
20240213 1
 
< 0.1%
20240206 2
 
< 0.1%
20240201 1
 
< 0.1%
20240118 2
 
< 0.1%
20240117 1
 
< 0.1%
20240110 34
0.3%

위반내용
Text

Distinct2736
Distinct (%)27.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T08:00:39.774272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length339
Median length141
Mean length15.4216
Min length1

Characters and Unicode

Total characters154216
Distinct characters723
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1661 ?
Unique (%)16.6%

Sample

1st row시설물 무단 철거
2nd row2022. 위생교육 미이수
3rd row세무서 폐업신고영업신고미이행
4th row배수구 주변 바닥 파손
5th row2021.10.28. 20:00경부터 21:30경까지 업소에 방문한 청소년 윤** 등 4명에게 소주 6병을 24,000원에 판매함
ValueCountFrequency (%)
위생교육 722
 
2.3%
건강진단 544
 
1.7%
미이수 531
 
1.7%
미필 444
 
1.4%
영업주 431
 
1.4%
청소년주류제공 425
 
1.3%
휴업 394
 
1.3%
영업시설물 392
 
1.2%
미실시 378
 
1.2%
영업장 358
 
1.1%
Other values (4526) 26900
85.3%
2024-05-18T08:00:41.228774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22280
 
14.4%
업 6096
 
4.0%
미 3697
 
2.4%
영 3687
 
2.4%
2 3083
 
2.0%
시 2693
 
1.7%
위 2519
 
1.6%
) 2291
 
1.5%
( 2289
 
1.5%
이 2237
 
1.5%
Other values (713) 103344
67.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 115259
74.7%
Space Separator 22280
 
14.4%
Decimal Number 9208
 
6.0%
Close Punctuation 2300
 
1.5%
Open Punctuation 2298
 
1.5%
Other Punctuation 2285
 
1.5%
Dash Punctuation 278
 
0.2%
Lowercase Letter 233
 
0.2%
Math Symbol 30
 
< 0.1%
Uppercase Letter 28
 
< 0.1%
Other values (4) 17
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 6096
 
5.3%
미 3697
 
3.2%
영 3687
 
3.2%
시 2693
 
2.3%
위 2519
 
2.2%
이 2237
 
1.9%
단 2225
 
1.9%
장 2065
 
1.8%
주 1976
 
1.7%
설 1942
 
1.7%
Other values (647) 86122
74.7%
Lowercase Letter
ValueCountFrequency (%)
g 30
12.9%
m 21
 
9.0%
a 21
 
9.0%
w 19
 
8.2%
k 18
 
7.7%
i 15
 
6.4%
y 15
 
6.4%
l 14
 
6.0%
c 13
 
5.6%
f 12
 
5.2%
Other values (10) 55
23.6%
Uppercase Letter
ValueCountFrequency (%)
C 6
21.4%
H 5
17.9%
T 4
14.3%
I 4
14.3%
A 2
 
7.1%
L 2
 
7.1%
E 1
 
3.6%
K 1
 
3.6%
P 1
 
3.6%
J 1
 
3.6%
Decimal Number
ValueCountFrequency (%)
2 3083
33.5%
0 1935
21.0%
1 1867
20.3%
6 742
 
8.1%
3 388
 
4.2%
5 306
 
3.3%
4 261
 
2.8%
7 220
 
2.4%
9 209
 
2.3%
8 197
 
2.1%
Other Punctuation
ValueCountFrequency (%)
. 988
43.2%
, 697
30.5%
/ 326
 
14.3%
: 182
 
8.0%
* 44
 
1.9%
? 20
 
0.9%
% 13
 
0.6%
？ 10
 
0.4%
; 3
 
0.1%
' 2
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 24
80.0%
→ 3
 
10.0%
+ 3
 
10.0%
Other Symbol
ValueCountFrequency (%)
㎡ 6
54.5%
℃ 3
27.3%
┛ 2
 
18.2%
Close Punctuation
ValueCountFrequency (%)
) 2291
99.6%
] 9
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 2289
99.6%
[ 9
 
0.4%
Space Separator
ValueCountFrequency (%)
22280
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 278
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 115255
74.7%
Common 38696
 
25.1%
Latin 261
 
0.2%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 6096
 
5.3%
미 3697
 
3.2%
영 3687
 
3.2%
시 2693
 
2.3%
위 2519
 
2.2%
이 2237
 
1.9%
단 2225
 
1.9%
장 2065
 
1.8%
주 1976
 
1.7%
설 1942
 
1.7%
Other values (645) 86118
74.7%
Common
ValueCountFrequency (%)
22280
57.6%
2 3083
 
8.0%
) 2291
 
5.9%
( 2289
 
5.9%
0 1935
 
5.0%
1 1867
 
4.8%
. 988
 
2.6%
6 742
 
1.9%
, 697
 
1.8%
3 388
 
1.0%
Other values (25) 2136
 
5.5%
Latin
ValueCountFrequency (%)
g 30
 
11.5%
m 21
 
8.0%
a 21
 
8.0%
w 19
 
7.3%
k 18
 
6.9%
i 15
 
5.7%
y 15
 
5.7%
l 14
 
5.4%
c 13
 
5.0%
f 12
 
4.6%
Other values (21) 83
31.8%
Han
ValueCountFrequency (%)
河 2
50.0%
囹 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 115219
74.7%
ASCII 38929
 
25.2%
Compat Jamo 36
 
< 0.1%
None 10
 
< 0.1%
CJK Compat 6
 
< 0.1%
CJK 4
 
< 0.1%
Punctuation 4
 
< 0.1%
Letterlike Symbols 3
 
< 0.1%
Arrows 3
 
< 0.1%
Box Drawing 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22280
57.2%
2 3083
 
7.9%
) 2291
 
5.9%
( 2289
 
5.9%
0 1935
 
5.0%
1 1867
 
4.8%
. 988
 
2.5%
6 742
 
1.9%
, 697
 
1.8%
3 388
 
1.0%
Other values (49) 2369
 
6.1%
Hangul
ValueCountFrequency (%)
업 6096
 
5.3%
미 3697
 
3.2%
영 3687
 
3.2%
시 2693
 
2.3%
위 2519
 
2.2%
이 2237
 
1.9%
단 2225
 
1.9%
장 2065
 
1.8%
주 1976
 
1.7%
설 1942
 
1.7%
Other values (644) 86082
74.7%
Compat Jamo
ValueCountFrequency (%)
ㅇ 36
100.0%
None
ValueCountFrequency (%)
？ 10
100.0%
CJK Compat
ValueCountFrequency (%)
㎡ 6
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 3
100.0%
Arrows
ValueCountFrequency (%)
→ 3
100.0%
CJK
ValueCountFrequency (%)
河 2
50.0%
囹 2
50.0%
Punctuation
ValueCountFrequency (%)
’ 2
50.0%
‘ 2
50.0%
Box Drawing
ValueCountFrequency (%)
┛ 2
100.0%

처분내용
Text

Distinct800
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T08:00:42.224919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length61
Mean length6.8535
Min length2

Characters and Unicode

Total characters68535
Distinct characters196
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

Unique490 ?
Unique (%)4.9%

Sample

1st row영업소폐쇄
2nd row과태료부과
3rd row영업소폐쇄
4th row시정명령
5th row영업정지
ValueCountFrequency (%)
과태료부과 2585
20.6%
영업소폐쇄 2094
16.7%
시정명령 1542
12.3%
영업정지 1251
 
10.0%
시설개수명령 337
 
2.7%
과징금부과 298
 
2.4%
과태료 237
 
1.9%
20만원 214
 
1.7%
부과 193
 
1.5%
및 182
 
1.5%
Other values (888) 3601
28.7%
2024-05-18T08:00:43.788370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 8146
 
11.9%
부 4151
 
6.1%
영 3898
 
5.7%
업 3896
 
5.7%
료 3498
 
5.1%
태 3446
 
5.0%
정 3406
 
5.0%
0 2690
 
3.9%
2571
 
3.8%
소 2392
 
3.5%
Other values (186) 30441
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55185
80.5%
Decimal Number 7925
 
11.6%
Space Separator 2571
 
3.8%
Other Punctuation 1094
 
1.6%
Open Punctuation 780
 
1.1%
Close Punctuation 776
 
1.1%
Math Symbol 174
 
0.3%
Dash Punctuation 28
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 8146
14.8%
부 4151
 
7.5%
영 3898
 
7.1%
업 3896
 
7.1%
료 3498
 
6.3%
태 3446
 
6.2%
정 3406
 
6.2%
소 2392
 
4.3%
폐 2121
 
3.8%
쇄 2108
 
3.8%
Other values (158) 18123
32.8%
Decimal Number
ValueCountFrequency (%)
0 2690
33.9%
2 1637
20.7%
1 1345
17.0%
3 425
 
5.4%
6 396
 
5.0%
5 391
 
4.9%
4 377
 
4.8%
8 270
 
3.4%
7 211
 
2.7%
9 183
 
2.3%
Other Punctuation
ValueCountFrequency (%)
. 782
71.5%
, 286
 
26.1%
% 10
 
0.9%
: 9
 
0.8%
/ 4
 
0.4%
？ 2
 
0.2%
; 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 159
91.4%
+ 11
 
6.3%
× 2
 
1.1%
= 2
 
1.1%
Open Punctuation
ValueCountFrequency (%)
( 777
99.6%
[ 3
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 773
99.6%
] 3
 
0.4%
Space Separator
ValueCountFrequency (%)
2571
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Lowercase Letter
ValueCountFrequency (%)
x 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55185
80.5%
Common 13348
 
19.5%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 8146
14.8%
부 4151
 
7.5%
영 3898
 
7.1%
업 3896
 
7.1%
료 3498
 
6.3%
태 3446
 
6.2%
정 3406
 
6.2%
소 2392
 
4.3%
폐 2121
 
3.8%
쇄 2108
 
3.8%
Other values (158) 18123
32.8%
Common
ValueCountFrequency (%)
0 2690
20.2%
2571
19.3%
2 1637
12.3%
1 1345
10.1%
. 782
 
5.9%
( 777
 
5.8%
) 773
 
5.8%
3 425
 
3.2%
6 396
 
3.0%
5 391
 
2.9%
Other values (17) 1561
11.7%
Latin
ValueCountFrequency (%)
x 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55171
80.5%
ASCII 13346
 
19.5%
Compat Jamo 14
 
< 0.1%
None 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 8146
14.8%
부 4151
 
7.5%
영 3898
 
7.1%
업 3896
 
7.1%
료 3498
 
6.3%
태 3446
 
6.2%
정 3406
 
6.2%
소 2392
 
4.3%
폐 2121
 
3.8%
쇄 2108
 
3.8%
Other values (157) 18109
32.8%
ASCII
ValueCountFrequency (%)
0 2690
20.2%
2571
19.3%
2 1637
12.3%
1 1345
10.1%
. 782
 
5.9%
( 777
 
5.8%
) 773
 
5.8%
3 425
 
3.2%
6 396
 
3.0%
5 391
 
2.9%
Other values (16) 1559
11.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 14
100.0%
None
ValueCountFrequency (%)
× 2
50.0%
？ 2
50.0%

처분기간
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)2.9%
Missing9020
Missing (%)90.2%
Infinite0
Infinite (%)0.0%
Mean11.97449
Minimum0
Maximum45
Zeros16
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T08:00:44.246893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.9
Q17
median15
Q315
95-th percentile20
Maximum45
Range45
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.627559
Coefficient of variation (CV)0.46996232
Kurtosis2.8953978
Mean11.97449
Median Absolute Deviation (MAD)5
Skewness0.87832151
Sum11735
Variance31.66942
MonotonicityNot monotonic
2024-05-18T08:00:44.731133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
15 429
 
4.3%
7 349
 
3.5%
10 46
 
0.5%
20 29
 
0.3%
17 21
 
0.2%
5 17
 
0.2%
0 16
 
0.2%
25 11
 
0.1%
23 7
 
0.1%
30 7
 
0.1%
Other values (18) 48
 
0.5%
(Missing) 9020
90.2%
ValueCountFrequency (%)
0 16
 
0.2%
1 3
 
< 0.1%
2 7
 
0.1%
3 5
 
0.1%
4 1
 
< 0.1%
5 17
 
0.2%
7 349
3.5%
8 3
 
< 0.1%
9 2
 
< 0.1%
10 46
 
0.5%
ValueCountFrequency (%)
45 2
 
< 0.1%
40 1
 
< 0.1%
30 7
0.1%
29 4
 
< 0.1%
28 2
 
< 0.1%
27 2
 
< 0.1%
26 1
 
< 0.1%
25 11
0.1%
24 2
 
< 0.1%
23 7
0.1%

영업장면적(㎡)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct1850
Distinct (%)34.9%
Missing4699
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean105.55645
Minimum0
Maximum2228
Zeros5
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T08:00:45.338741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18
Q129.75
median66
Q3116.18
95-th percentile334.38
Maximum2228
Range2228
Interquartile range (IQR)86.43

Descriptive statistics

Standard deviation143.32838
Coefficient of variation (CV)1.3578363
Kurtosis37.504635
Mean105.55645
Median Absolute Deviation (MAD)38.34
Skewness4.8510871
Sum559554.74
Variance20543.024
MonotonicityNot monotonic
2024-05-18T08:00:45.972439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26.4 171
 
1.7%
29.7 105
 
1.1%
23.1 93
 
0.9%
66.0 77
 
0.8%
99.0 59
 
0.6%
33.0 47
 
0.5%
19.8 45
 
0.4%
49.5 42
 
0.4%
82.5 39
 
0.4%
59.4 37
 
0.4%
Other values (1840) 4586
45.9%
(Missing) 4699
47.0%
ValueCountFrequency (%)
0.0 5
0.1%
1.62 1
 
< 0.1%
1.65 1
 
< 0.1%
3.0 2
 
< 0.1%
3.3 7
0.1%
3.55 1
 
< 0.1%
4.0 2
 
< 0.1%
4.4 1
 
< 0.1%
4.44 2
 
< 0.1%
4.5 2
 
< 0.1%
ValueCountFrequency (%)
2228.0 2
< 0.1%
1520.67 1
 
< 0.1%
1483.0 1
 
< 0.1%
1383.47 3
< 0.1%
1366.56 1
 
< 0.1%
1249.75 1
 
< 0.1%
1240.0 1
 
< 0.1%
1178.0 1
 
< 0.1%
1160.97 1
 
< 0.1%
1057.6 1
 
< 0.1%

운영형태
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9949 
직영
 
46
준직영
 
3
(조합)위탁
 
2

Length

Max length6
Median length4
Mean length3.9909
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> 9949
99.5%
직영 46
 
0.5%
준직영 3
 
< 0.1%
(조합)위탁 2
 
< 0.1%

Length

2024-05-18T08:00:46.654802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:00:46.992995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9949
99.5%
직영 46
 
0.5%
준직영 3
 
< 0.1%
조합)위탁 2
 
< 0.1%

Interactions

2024-05-18T08:00:16.612813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:00:04.205248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:00:06.235839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:00:08.666338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:00:11.145384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:00:13.993217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:00:16.955917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:00:04.550149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:00:06.602748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:00:09.126757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:00:11.732023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:00:14.558325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:00:17.330865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:00:04.871317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:00:07.051374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:00:09.595302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:00:12.159569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:00:15.191235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:00:17.612103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:00:05.263394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:00:07.431204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:00:09.980171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:00:12.676349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:00:15.643670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:00:17.933869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:00:05.662554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:00:07.913547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:00:10.392023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:00:13.020080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:00:16.047011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:00:18.194537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:00:05.956238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:00:08.308269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:00:10.719574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:00:13.462253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:00:16.326113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-18T08:00:47.207866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자교부번호업종명업태명지도점검일자위반일자처분기간영업장면적(㎡)운영형태
처분일자1.0000.4730.4030.4970.9970.0280.3300.1120.000
교부번호0.4731.0000.3840.5490.4730.0000.2010.1670.088
업종명0.4030.3841.0001.0000.4420.0000.4660.480NaN
업태명0.4970.5491.0001.0000.5260.0000.4930.7110.469
지도점검일자0.9970.4730.4420.5261.0000.0280.3410.1380.000
위반일자0.0280.0000.0000.0000.0281.000NaN0.000NaN
처분기간0.3300.2010.4660.4930.341NaN1.0000.000NaN
영업장면적(㎡)0.1120.1670.4800.7110.1380.0000.0001.0000.924
운영형태0.0000.088NaN0.4690.000NaNNaN0.9241.000
2024-05-18T08:00:47.657510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영형태업종명
운영형태1.0001.000
업종명1.0001.000
2024-05-18T08:00:48.104936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자교부번호지도점검일자위반일자처분기간영업장면적(㎡)업종명운영형태
처분일자1.0000.5300.9990.997-0.0210.0250.1380.000
교부번호0.5301.0000.5330.530-0.089-0.0190.1720.075
지도점검일자0.9990.5331.0000.998-0.0220.0260.1540.000
위반일자0.9970.5300.9981.000-0.0240.0260.0001.000
처분기간-0.021-0.089-0.022-0.0241.000-0.0030.2090.000
영업장면적(㎡)0.025-0.0190.0260.026-0.0031.0000.1870.661
업종명0.1380.1720.1540.0000.2090.1871.0001.000
운영형태0.0000.0750.0001.0000.0000.6611.0001.000

Missing values

2024-05-18T08:00:18.608936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-18T08:00:19.296707image/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.
2024-05-18T08:00:19.724858image/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
943332400002012050120070120603식품등 수입판매업식품등 수입판매업세경통상서울특별시 강동구 올림픽로 598, (성내동,302호)서울특별시 강동구 성내동 112번지 65호 302호20120320처분확정영업소폐쇄식품위생법 제36조 및 제75조20120320시설물 무단 철거영업소폐쇄<NA><NA><NA>
650332400002023090520200120714일반음식점한식제이와이푸드서울특별시 강동구 천호대로163길 35, 1층 101호 (천호동, 금탑빌라트)서울특별시 강동구 천호동 166번지 115호 금탑빌라트20230703처분확정과태료부과법 제101조제4항1호202212312022. 위생교육 미이수과태료부과<NA><NA><NA>
776332400002010050720070120885휴게음식점일반조리판매엄마식당서울특별시 강동구 천호대로 1057, (천호동)서울특별시 강동구 천호동 451번지 20호20100413처분확정영업소폐쇄식위37조6항 세무서에폐업신고20100413세무서 폐업신고영업신고미이행영업소폐쇄<NA><NA><NA>
310932400002011032520030121211일반음식점중국식태화반점서울특별시 강동구 아리수로 376-1, (고덕동)서울특별시 강동구 고덕동 165번지 9호20110223처분확정시정명령식품위생법 제36조, 제75조 제1항 제6호20110223배수구 주변 바닥 파손시정명령<NA>42.9<NA>
649732400002022011420200120560일반음식점한식종로계림닭도리탕원조 천호점서울특별시 강동구 올림픽로70길 61, 두산위브센티움 1층 108호 (천호동)서울특별시 강동구 천호동 414번지 두산위브센티움20211028처분확정영업정지법 제75조202110282021.10.28. 20:00경부터 21:30경까지 업소에 방문한 청소년 윤** 등 4명에게 소주 6병을 24,000원에 판매함영업정지<NA><NA><NA>
704332400002007091320060120880유흥주점영업룸살롱첼로서울특별시 강동구 천호대로175길 21, (길동,3층)서울특별시 강동구 길동 450번지 3층20070731처분확정영업정지 7일 및 시설개수명령식품위생법 제58조 및 식품위생법 시행규칙 제53조20070731옥상부분을 천막/벽돌 구조의 시설로 가설물을 설치, 화장실 및종업원 대기실 등의 용도로 사용영업정지 7일 및 시설개수명령7147.35<NA>
954432400002013041920110120670식품등 수입판매업식품등 수입판매업신러시아개발(주)서울특별시 강동구 동남로65길 17, (명일동,지하1층)서울특별시 강동구 명일동 196번지 지하1층20130401처분확정과태료부과식품위생법제41조201304012012년 기존영업자위생교육 미이수과태료부과<NA><NA><NA>
121832400002016062019970120345일반음식점한식짝태&노가리서울특별시 강동구 진황도로 92, (길동)서울특별시 강동구 길동 447번지 1호20160217처분확정과징금부과법 제75조20160217청소년주류제공과징금부과<NA>33.95<NA>
174632400002014072320000120065일반음식점호프/통닭전초전서울특별시 강동구 천호대로159길 35, (천호동)서울특별시 강동구 천호동 410번지 20호20140530처분확정영업정지식품위생법제44조2항20140524청소년 주류제공영업정지<NA>19.83<NA>
926332400002018091019970120539식품소분업식품소분업(주)한길에스디서울특별시 강동구 올림픽로 820, (암사동)서울특별시 강동구 암사동 462번지 3호20180905처분확정시정명령법 제71조, 법 제72조 및 법 제75조20180905이물의 혼입시정명령<NA><NA><NA>
시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)운영형태
216932400002017022720010120337일반음식점호프/통닭이화주막서울특별시 강동구 양재대로 1484, (길동)서울특별시 강동구 길동 391번지 4호20170131처분확정영업소폐쇄법 제71조, 법 제74조,법 제75조 및 법 제76조20170126영업시설물 철거영업소폐쇄<NA><NA><NA>
408532400002008030420060120341일반음식점한식불도야지서울특별시 강동구 양재대로89길 16, (성내동)서울특별시 강동구 성내동 428번지 2호20080215처분확정영업정지7일갈음 과징금56만원부과식품위생법 제21조 및 제22조20080204영업장 무단확장영업정지7일갈음 과징금56만원부과719.8<NA>
610332400002017072520150120968일반음식점한식왕실애 왕꼼장어 성내점서울특별시 강동구 양재대로103길 52, 1층 (성내동)서울특별시 강동구 성내동 245번지 12호20170711처분확정영업소폐쇄법 제71조, 법 제74조,법 제75조 및 법 제76조20170711무단폐업영업소폐쇄<NA><NA><NA>
81932400002010082019940120061일반음식점한식다오래서울특별시 강동구 동남로67길 48, (명일동)서울특별시 강동구 명일동 248번지 1호20100806처분확정영업정지식품위생법제44조2항20100805청소년주류제공영업정지<NA>29.18<NA>
218832400002008071420010120403일반음식점호프/통닭비전호프서울특별시 강동구 천호대로188길 14, (둔촌동)서울특별시 강동구 둔촌동 61번지 14호20080626처분확정영업정지2월식품위생법 제31조20080611청소년주류제공(조정권고수용)영업정지2월<NA><NA><NA>
370932400002006082920050120371일반음식점한식김밥천국서울특별시 강동구 천호대로 1027, (천호동)서울특별시 강동구 천호동 454번지 15호20060807처분확정과태료부과30만원식위78조20060807건강진단미필(1/3명)과태료부과30만원<NA>66.0<NA>
903332400002012100220090121225즉석판매제조가공업즉석판매제조가공업안흥식품서울특별시 강동구 풍성로63길 84, (둔촌동)서울특별시 강동구 둔촌동 444번지20120711처분확정영업소폐쇄식품위생법 제37조 제7항20120828사업자등록 폐업영업소폐쇄<NA><NA><NA>
322432400002010031820040120012일반음식점한식마드레서울특별시 강동구 동남로 710, (둔촌동)서울특별시 강동구 둔촌동 560번지20100223처분확정시정명령식품위생법제36조및 제37조20100223신고면적외 장소에서 영업시정명령<NA>132.0<NA>
317732400002007071220030121454일반음식점한식황금벼슬서울특별시 강동구 진황도로 36, (천호동)서울특별시 강동구 천호동 166번지 4호20070521처분확정영업정지15일갈음과징금120만원식위31조20070521유통기한경과제품조리목적 보관영업정지15일갈음과징금120만원1525.0<NA>
457032400002023090620070120742일반음식점출장조리미식가박스서울특별시 강동구 양재대로124길 32, 177호 (길동, 동서울오네뜨)서울특별시 강동구 길동 339번지 1호 동서울오네뜨-17720230703처분확정과태료부과법 제101조제4항1호202212312022. 위생교육 미이수과태료부과<NA><NA><NA>

Duplicate rows

Most frequently occurring

시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)운영형태# duplicates
15332400002013061920020121334식품등 수입판매업식품등 수입판매업(주)흥보교역서울특별시 강동구 강동대로53길 35, (성내동,201호)서울특별시 강동구 성내동 444번지 3호 201호20130514처분확정영업소폐쇄식품위생법 제75조제3항제1호201305146월이상 휴업영업소폐쇄<NA><NA><NA>5
5432400002010060720020120124일반음식점분식처음처럼서울특별시 강동구 양재대로133길 8, (천호동,1층)서울특별시 강동구 천호동 30번지 15호 1층20100504처분확정과태료부과식품위생법 제40조 제1항, 제101조 제2항 제1호20100503영업주가 건강진단을 받지 아니함.과태료부과<NA><NA><NA>4
9532400002012050120050120149식품등 수입판매업식품등 수입판매업(주)그레이스스타서울특별시 강동구 고덕로61길 130, (고덕동,(지층))서울특별시 강동구 고덕동 655번지 6호 (지층)20120320처분확정영업소폐쇄식품위생법 제36조 및 제75조20120320시설물 무단 철거영업소폐쇄<NA><NA><NA>4
26132400002018091920130120418휴게음식점커피숍아리스타 커피서울특별시 강동구 양재대로102길 33, (둔촌동)서울특별시 강동구 둔촌동 428번지20180816처분확정과태료부과법 제101조제2항 제1호20180816영업자 및 종사자(1명중1명) 건강진단 미필과태료부과<NA>51.86<NA>4
26232400002018091920130120418휴게음식점커피숍아리스타 커피서울특별시 강동구 양재대로102길 33, (둔촌동)서울특별시 강동구 둔촌동 428번지20180816처분확정과태료부과법 제101조제2항 제1호20180816영업자 및 종사자(1명중1명) 건강진단 미필과태료부과<NA><NA><NA>4
26732400002018102420150325568일반음식점한식시골밥상서울특별시 강동구 양재대로124길 20, (길동)서울특별시 강동구 길동 337번지 4호20180918처분확정과태료부과법 제101조제2항 제1호20180918영업자 건강진단 미필과태료부과<NA>23.0<NA>4
26832400002018102420150325568일반음식점한식시골밥상서울특별시 강동구 양재대로124길 20, (길동)서울특별시 강동구 길동 337번지 4호20180918처분확정과태료부과법 제101조제2항 제1호20180918영업자 건강진단 미필과태료부과<NA>57.31<NA>4
29932400002023041319990121524일반음식점일식세꼬시서울특별시 강동구 양재대로 1427, (성내동)서울특별시 강동구 성내동 379번지 32호20230322처분확정과태료부과법 제101조제2항제1호 및 영 제67조20230322영업자 위생모 미착용과태료부과<NA>43.55<NA>4
30032400002023041319990121524일반음식점일식세꼬시서울특별시 강동구 양재대로 1427, (성내동)서울특별시 강동구 성내동 379번지 32호20230322처분확정과태료부과법 제18조제1항제1호20230322메뉴판, 원산지 표시판 등에 조리 및 판매하는 넙치(광어)의 원산지 미표시과태료부과<NA>43.55<NA>4
30132400002023041319990121524일반음식점일식세꼬시서울특별시 강동구 양재대로 1427, (성내동)서울특별시 강동구 성내동 379번지 32호20230322처분확정과태료부과법 제18조제1항제5호20230322광어(국내산) 거래명세서 6개월간 비치,보관 미실시(2023.2.1. ~ 2023.2.27. 거래명세서만 보관)과태료부과<NA>43.55<NA>4