Overview

Dataset statistics

Number of variables12
Number of observations620
Missing cells92
Missing cells (%)1.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory58.2 KiB
Average record size in memory96.2 B

Variable types

Categorical4
Text6
DateTime2

Dataset

Description전북특별자치도 전주시의 대기배출시설, 폐수배출시설 현황입니다.(사업장명, 주소, 전화번호, 위치정보 등)자료: 환경위생과
Author전북특별자치도 전주시
URLhttps://www.data.go.kr/data/15020607/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
관리기관명 is highly overall correlated with 관리기관전화번호High correlation
관리기관전화번호 is highly overall correlated with 관리기관명High correlation
인허가구분 is highly imbalanced (85.8%)Imbalance
전화번호 has 92 (14.8%) missing valuesMissing
인허가관리번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 20:59:55.697580
Analysis finished2024-03-14 20:59:57.817879
Duration2.12 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업무구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
폐수배출업소관리
406 
대기배출업소관리
214 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐수배출업소관리 406
65.5%
대기배출업소관리 214
34.5%

Length

2024-03-15T05:59:57.965273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:59:58.137771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐수배출업소관리 406
65.5%
대기배출업소관리 214
34.5%

인허가관리번호
Text

UNIQUE 

Distinct620
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2024-03-15T05:59:58.888814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters13020
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique620 ?
Unique (%)100.0%

Sample

1st row4640000-21-1986-00010
2nd row4640000-21-1997-00010
3rd row4640000-21-1997-00014
4th row4640000-21-1997-00020
5th row4640000-21-2000-00036
ValueCountFrequency (%)
4640000-21-1986-00010 1
 
0.2%
4660000-22-1995-00020 1
 
0.2%
4660000-22-1993-00014 1
 
0.2%
4660000-22-1996-00016 1
 
0.2%
4660000-22-1993-00025 1
 
0.2%
4660000-22-1994-00007 1
 
0.2%
4660000-22-1995-00009 1
 
0.2%
4660000-22-1995-00014 1
 
0.2%
4660000-22-1995-00017 1
 
0.2%
4660000-22-1995-00023 1
 
0.2%
Other values (610) 610
98.4%
2024-03-15T06:00:00.073576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5487
42.1%
- 1860
 
14.3%
2 1737
 
13.3%
6 1136
 
8.7%
1 901
 
6.9%
4 852
 
6.5%
5 341
 
2.6%
9 327
 
2.5%
3 133
 
1.0%
7 130
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11160
85.7%
Dash Punctuation 1860
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5487
49.2%
2 1737
 
15.6%
6 1136
 
10.2%
1 901
 
8.1%
4 852
 
7.6%
5 341
 
3.1%
9 327
 
2.9%
3 133
 
1.2%
7 130
 
1.2%
8 116
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 1860
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13020
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5487
42.1%
- 1860
 
14.3%
2 1737
 
13.3%
6 1136
 
8.7%
1 901
 
6.9%
4 852
 
6.5%
5 341
 
2.6%
9 327
 
2.5%
3 133
 
1.0%
7 130
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13020
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5487
42.1%
- 1860
 
14.3%
2 1737
 
13.3%
6 1136
 
8.7%
1 901
 
6.9%
4 852
 
6.5%
5 341
 
2.6%
9 327
 
2.5%
3 133
 
1.0%
7 130
 
1.0%

사업장명
Text

Distinct578
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2024-03-15T06:00:01.195760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length8.2129032
Min length2

Characters and Unicode

Total characters5092
Distinct characters394
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique536 ?
Unique (%)86.5%

Sample

1st row(주)대연콘크리트
2nd row주식회사 진웅
3rd row(유)전주산업
4th row(유)대연산업
5th row(유)천변토건환경
ValueCountFrequency (%)
주식회사 10
 
1.4%
유한회사 5
 
0.7%
전주점 3
 
0.4%
주)내쇼날모터스 3
 
0.4%
주)대연콘크리트 2
 
0.3%
재)예수병원유지재단 2
 
0.3%
주)티엠시 2
 
0.3%
차세대자동차공업사 2
 
0.3%
주)천우에스엔씨 2
 
0.3%
주)엘텍인터내셔날 2
 
0.3%
Other values (627) 665
95.3%
2024-03-15T06:00:02.843472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 318
 
6.2%
( 196
 
3.8%
) 196
 
3.8%
유 190
 
3.7%
전 171
 
3.4%
차 147
 
2.9%
소 143
 
2.8%
사 123
 
2.4%
스 105
 
2.1%
세 100
 
2.0%
Other values (384) 3403
66.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4449
87.4%
Open Punctuation 198
 
3.9%
Close Punctuation 198
 
3.9%
Uppercase Letter 89
 
1.7%
Space Separator 80
 
1.6%
Decimal Number 47
 
0.9%
Lowercase Letter 24
 
0.5%
Other Punctuation 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 318
 
7.1%
유 190
 
4.3%
전 171
 
3.8%
차 147
 
3.3%
소 143
 
3.2%
사 123
 
2.8%
스 105
 
2.4%
세 100
 
2.2%
업 97
 
2.2%
동 91
 
2.0%
Other values (335) 2964
66.6%
Uppercase Letter
ValueCountFrequency (%)
S 18
20.2%
K 14
15.7%
G 11
12.4%
L 10
11.2%
P 10
11.2%
D 4
 
4.5%
O 3
 
3.4%
I 3
 
3.4%
B 3
 
3.4%
C 2
 
2.2%
Other values (7) 11
12.4%
Lowercase Letter
ValueCountFrequency (%)
s 3
12.5%
f 3
12.5%
e 3
12.5%
i 2
 
8.3%
a 2
 
8.3%
l 2
 
8.3%
w 1
 
4.2%
h 1
 
4.2%
c 1
 
4.2%
o 1
 
4.2%
Other values (5) 5
20.8%
Decimal Number
ValueCountFrequency (%)
1 16
34.0%
2 12
25.5%
6 5
 
10.6%
4 3
 
6.4%
8 3
 
6.4%
5 3
 
6.4%
0 2
 
4.3%
3 2
 
4.3%
9 1
 
2.1%
Other Punctuation
ValueCountFrequency (%)
. 4
57.1%
& 2
28.6%
? 1
 
14.3%
Open Punctuation
ValueCountFrequency (%)
( 196
99.0%
[ 2
 
1.0%
Close Punctuation
ValueCountFrequency (%)
) 196
99.0%
] 2
 
1.0%
Space Separator
ValueCountFrequency (%)
80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4449
87.4%
Common 530
 
10.4%
Latin 113
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 318
 
7.1%
유 190
 
4.3%
전 171
 
3.8%
차 147
 
3.3%
소 143
 
3.2%
사 123
 
2.8%
스 105
 
2.4%
세 100
 
2.2%
업 97
 
2.2%
동 91
 
2.0%
Other values (335) 2964
66.6%
Latin
ValueCountFrequency (%)
S 18
15.9%
K 14
12.4%
G 11
 
9.7%
L 10
 
8.8%
P 10
 
8.8%
D 4
 
3.5%
s 3
 
2.7%
O 3
 
2.7%
f 3
 
2.7%
I 3
 
2.7%
Other values (22) 34
30.1%
Common
ValueCountFrequency (%)
( 196
37.0%
) 196
37.0%
80
15.1%
1 16
 
3.0%
2 12
 
2.3%
6 5
 
0.9%
. 4
 
0.8%
4 3
 
0.6%
8 3
 
0.6%
5 3
 
0.6%
Other values (7) 12
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4449
87.4%
ASCII 643
 
12.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 318
 
7.1%
유 190
 
4.3%
전 171
 
3.8%
차 147
 
3.3%
소 143
 
3.2%
사 123
 
2.8%
스 105
 
2.4%
세 100
 
2.2%
업 97
 
2.2%
동 91
 
2.0%
Other values (335) 2964
66.6%
ASCII
ValueCountFrequency (%)
( 196
30.5%
) 196
30.5%
80
12.4%
S 18
 
2.8%
1 16
 
2.5%
K 14
 
2.2%
2 12
 
1.9%
G 11
 
1.7%
L 10
 
1.6%
P 10
 
1.6%
Other values (39) 80
12.4%

소재지지번주소
Text

Distinct559
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2024-03-15T06:00:03.779579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length48
Mean length27.717742
Min length1

Characters and Unicode

Total characters17185
Distinct characters171
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique521 ?
Unique (%)84.0%

Sample

1st row전북특별자치도 전주시 덕진구 팔복동4가 210
2nd row전북특별자치도 전주시 덕진구 팔복동3가 43
3rd row전북특별자치도 전주시 덕진구 팔복동4가 196-1
4th row전북특별자치도 전주시 덕진구 팔복동4가 180-2
5th row전북특별자치도 전주시 덕진구 팔복동3가 529-5
ValueCountFrequency (%)
전북특별자치도 601
19.0%
전주시 601
19.0%
덕진구 440
13.9%
완산구 161
 
5.1%
여의동 60
 
1.9%
팔복동3가 52
 
1.6%
팔복동1가 47
 
1.5%
팔복동2가 45
 
1.4%
팔복동4가 38
 
1.2%
효자동3가 24
 
0.8%
Other values (701) 1086
34.4%
2024-03-15T06:00:04.924992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3208
18.7%
전 1232
 
7.2%
1 672
 
3.9%
자 653
 
3.8%
주 619
 
3.6%
북 615
 
3.6%
도 608
 
3.5%
구 607
 
3.5%
동 603
 
3.5%
시 603
 
3.5%
Other values (161) 7765
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10384
60.4%
Space Separator 3208
 
18.7%
Decimal Number 3041
 
17.7%
Dash Punctuation 528
 
3.1%
Open Punctuation 7
 
< 0.1%
Close Punctuation 7
 
< 0.1%
Uppercase Letter 6
 
< 0.1%
Lowercase Letter 3
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 1232
 
11.9%
자 653
 
6.3%
주 619
 
6.0%
북 615
 
5.9%
도 608
 
5.9%
구 607
 
5.8%
동 603
 
5.8%
시 603
 
5.8%
특 601
 
5.8%
별 601
 
5.8%
Other values (137) 3642
35.1%
Decimal Number
ValueCountFrequency (%)
1 672
22.1%
2 473
15.6%
3 357
11.7%
4 291
9.6%
5 255
 
8.4%
6 244
 
8.0%
7 238
 
7.8%
8 204
 
6.7%
0 167
 
5.5%
9 140
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
L 1
16.7%
G 1
16.7%
P 1
16.7%
S 1
16.7%
K 1
16.7%
T 1
16.7%
Lowercase Letter
ValueCountFrequency (%)
l 1
33.3%
i 1
33.3%
o 1
33.3%
Space Separator
ValueCountFrequency (%)
3208
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 528
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10384
60.4%
Common 6792
39.5%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 1232
 
11.9%
자 653
 
6.3%
주 619
 
6.0%
북 615
 
5.9%
도 608
 
5.9%
구 607
 
5.8%
동 603
 
5.8%
시 603
 
5.8%
특 601
 
5.8%
별 601
 
5.8%
Other values (137) 3642
35.1%
Common
ValueCountFrequency (%)
3208
47.2%
1 672
 
9.9%
- 528
 
7.8%
2 473
 
7.0%
3 357
 
5.3%
4 291
 
4.3%
5 255
 
3.8%
6 244
 
3.6%
7 238
 
3.5%
8 204
 
3.0%
Other values (5) 322
 
4.7%
Latin
ValueCountFrequency (%)
L 1
11.1%
G 1
11.1%
P 1
11.1%
l 1
11.1%
i 1
11.1%
o 1
11.1%
S 1
11.1%
K 1
11.1%
T 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10384
60.4%
ASCII 6801
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3208
47.2%
1 672
 
9.9%
- 528
 
7.8%
2 473
 
7.0%
3 357
 
5.2%
4 291
 
4.3%
5 255
 
3.7%
6 244
 
3.6%
7 238
 
3.5%
8 204
 
3.0%
Other values (14) 331
 
4.9%
Hangul
ValueCountFrequency (%)
전 1232
 
11.9%
자 653
 
6.3%
주 619
 
6.0%
북 615
 
5.9%
도 608
 
5.9%
구 607
 
5.8%
동 603
 
5.8%
시 603
 
5.8%
특 601
 
5.8%
별 601
 
5.8%
Other values (137) 3642
35.1%

소재지도로명주소
Text

Distinct548
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2024-03-15T06:00:06.748709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length50
Mean length31.230645
Min length1

Characters and Unicode

Total characters19363
Distinct characters270
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique506 ?
Unique (%)81.6%

Sample

1st row전북특별자치도 전주시 덕진구 야전1길 24 (팔복동4가)
2nd row전북특별자치도 전주시 덕진구 추천로 25-7 (팔복동3가)
3rd row전북특별자치도 전주시 덕진구 감수길 10 (팔복동4가)
4th row전북특별자치도 전주시 덕진구 야전1길 71 (팔복동4가)
5th row전북특별자치도 전주시 덕진구 팔복로 221 (팔복동3가)
ValueCountFrequency (%)
전북특별자치도 598
 
16.1%
전주시 597
 
16.1%
덕진구 436
 
11.8%
완산구 161
 
4.3%
여의동 60
 
1.6%
팔복동3가 51
 
1.4%
팔복동1가 48
 
1.3%
팔복동2가 46
 
1.2%
팔복동4가 38
 
1.0%
온고을로 27
 
0.7%
Other values (674) 1648
44.4%
2024-03-15T06:00:08.843733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3223
 
16.6%
전 1268
 
6.5%
자 656
 
3.4%
주 643
 
3.3%
동 641
 
3.3%
북 617
 
3.2%
구 612
 
3.2%
도 601
 
3.1%
시 601
 
3.1%
( 599
 
3.1%
Other values (260) 9902
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12588
65.0%
Space Separator 3223
 
16.6%
Decimal Number 2207
 
11.4%
Open Punctuation 599
 
3.1%
Close Punctuation 599
 
3.1%
Dash Punctuation 120
 
0.6%
Uppercase Letter 23
 
0.1%
Lowercase Letter 3
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 1268
 
10.1%
자 656
 
5.2%
주 643
 
5.1%
동 641
 
5.1%
북 617
 
4.9%
구 612
 
4.9%
도 601
 
4.8%
시 601
 
4.8%
별 598
 
4.8%
치 598
 
4.8%
Other values (233) 5753
45.7%
Decimal Number
ValueCountFrequency (%)
1 480
21.7%
2 386
17.5%
3 309
14.0%
4 205
9.3%
5 167
 
7.6%
6 155
 
7.0%
0 143
 
6.5%
7 140
 
6.3%
8 113
 
5.1%
9 109
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
K 6
26.1%
S 5
21.7%
G 3
13.0%
L 2
 
8.7%
P 2
 
8.7%
T 2
 
8.7%
C 1
 
4.3%
I 1
 
4.3%
M 1
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
l 1
33.3%
i 1
33.3%
o 1
33.3%
Space Separator
ValueCountFrequency (%)
3223
100.0%
Open Punctuation
ValueCountFrequency (%)
( 599
100.0%
Close Punctuation
ValueCountFrequency (%)
) 599
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 120
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12588
65.0%
Common 6749
34.9%
Latin 26
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 1268
 
10.1%
자 656
 
5.2%
주 643
 
5.1%
동 641
 
5.1%
북 617
 
4.9%
구 612
 
4.9%
도 601
 
4.8%
시 601
 
4.8%
별 598
 
4.8%
치 598
 
4.8%
Other values (233) 5753
45.7%
Common
ValueCountFrequency (%)
3223
47.8%
( 599
 
8.9%
) 599
 
8.9%
1 480
 
7.1%
2 386
 
5.7%
3 309
 
4.6%
4 205
 
3.0%
5 167
 
2.5%
6 155
 
2.3%
0 143
 
2.1%
Other values (5) 483
 
7.2%
Latin
ValueCountFrequency (%)
K 6
23.1%
S 5
19.2%
G 3
11.5%
L 2
 
7.7%
P 2
 
7.7%
T 2
 
7.7%
C 1
 
3.8%
l 1
 
3.8%
i 1
 
3.8%
o 1
 
3.8%
Other values (2) 2
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12588
65.0%
ASCII 6775
35.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3223
47.6%
( 599
 
8.8%
) 599
 
8.8%
1 480
 
7.1%
2 386
 
5.7%
3 309
 
4.6%
4 205
 
3.0%
5 167
 
2.5%
6 155
 
2.3%
0 143
 
2.1%
Other values (17) 509
 
7.5%
Hangul
ValueCountFrequency (%)
전 1268
 
10.1%
자 656
 
5.2%
주 643
 
5.1%
동 641
 
5.1%
북 617
 
4.9%
구 612
 
4.9%
도 601
 
4.8%
시 601
 
4.8%
별 598
 
4.8%
치 598
 
4.8%
Other values (233) 5753
45.7%

전화번호
Text

MISSING 

Distinct490
Distinct (%)92.8%
Missing92
Missing (%)14.8%
Memory size5.0 KiB
2024-03-15T06:00:09.872778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.782197
Min length1

Characters and Unicode

Total characters6221
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique461 ?
Unique (%)87.3%

Sample

1st row063-211-3311
2nd row063-212-6767
3rd row063-212-6216
4th row063-2119133
5th row063-212-8006
ValueCountFrequency (%)
063-252-8131 2
 
0.4%
063-211-8878 2
 
0.4%
063-250-1073 2
 
0.4%
070-4660-4508 2
 
0.4%
063-212-5800 2
 
0.4%
063-247-1688 2
 
0.4%
063-254-4485 2
 
0.4%
063-212-9400 2
 
0.4%
063-212-9520 2
 
0.4%
063-213-7310 2
 
0.4%
Other values (479) 497
96.1%
2024-03-15T06:00:11.101888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1033
16.6%
0 918
14.8%
2 849
13.6%
3 772
12.4%
6 702
11.3%
1 606
9.7%
5 306
 
4.9%
8 289
 
4.6%
4 279
 
4.5%
7 259
 
4.2%
Other values (2) 208
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5177
83.2%
Dash Punctuation 1033
 
16.6%
Space Separator 11
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 918
17.7%
2 849
16.4%
3 772
14.9%
6 702
13.6%
1 606
11.7%
5 306
 
5.9%
8 289
 
5.6%
4 279
 
5.4%
7 259
 
5.0%
9 197
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 1033
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6221
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1033
16.6%
0 918
14.8%
2 849
13.6%
3 772
12.4%
6 702
11.3%
1 606
9.7%
5 306
 
4.9%
8 289
 
4.6%
4 279
 
4.5%
7 259
 
4.2%
Other values (2) 208
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6221
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1033
16.6%
0 918
14.8%
2 849
13.6%
3 772
12.4%
6 702
11.3%
1 606
9.7%
5 306
 
4.9%
8 289
 
4.6%
4 279
 
4.5%
7 259
 
4.2%
Other values (2) 208
 
3.3%

대표업종
Text

Distinct123
Distinct (%)19.8%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2024-03-15T06:00:12.109759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length7.9580645
Min length1

Characters and Unicode

Total characters4934
Distinct characters180
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)11.5%

Sample

1st row레미콘 제조업
2nd row기타 화학제품 제조업
3rd row코크스 및 연탄 제조업
4th row아스콘 제조업
5th row건축폐기물 처리업
ValueCountFrequency (%)
자동차 237
16.7%
세차업 142
 
10.0%
운영업 102
 
7.2%
주유소 100
 
7.0%
수리업 95
 
6.7%
및 78
 
5.5%
종합 57
 
4.0%
제조업 56
 
3.9%
차량용 44
 
3.1%
가스 26
 
1.8%
Other values (190) 484
34.1%
2024-03-15T06:00:13.321845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
932
18.9%
업 530
 
10.7%
차 425
 
8.6%
동 261
 
5.3%
자 246
 
5.0%
세 146
 
3.0%
리 143
 
2.9%
운 115
 
2.3%
수 114
 
2.3%
소 112
 
2.3%
Other values (170) 1910
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4000
81.1%
Space Separator 932
 
18.9%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 530
 
13.2%
차 425
 
10.6%
동 261
 
6.5%
자 246
 
6.2%
세 146
 
3.6%
리 143
 
3.6%
운 115
 
2.9%
수 114
 
2.9%
소 112
 
2.8%
유 107
 
2.7%
Other values (168) 1801
45.0%
Space Separator
ValueCountFrequency (%)
932
100.0%
Other Punctuation
ValueCountFrequency (%)
· 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4000
81.1%
Common 934
 
18.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 530
 
13.2%
차 425
 
10.6%
동 261
 
6.5%
자 246
 
6.2%
세 146
 
3.6%
리 143
 
3.6%
운 115
 
2.9%
수 114
 
2.9%
소 112
 
2.8%
유 107
 
2.7%
Other values (168) 1801
45.0%
Common
ValueCountFrequency (%)
932
99.8%
· 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4000
81.1%
ASCII 932
 
18.9%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
932
100.0%
Hangul
ValueCountFrequency (%)
업 530
 
13.2%
차 425
 
10.6%
동 261
 
6.5%
자 246
 
6.2%
세 146
 
3.6%
리 143
 
3.6%
운 115
 
2.9%
수 114
 
2.9%
소 112
 
2.8%
유 107
 
2.7%
Other values (168) 1801
45.0%
None
ValueCountFrequency (%)
· 2
100.0%

인허가등록일자
Date

Distinct539
Distinct (%)86.9%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
Minimum1977-09-20 00:00:00
Maximum2021-10-26 00:00:00
2024-03-15T06:00:13.549483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:00:14.164166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가구분
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
신고
593 
허가
 
24
변경신고
 
2
 
1

Length

Max length4
Median length2
Mean length2.0048387
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
신고 593
95.6%
허가 24
 
3.9%
변경신고 2
 
0.3%
1
 
0.2%

Length

2024-03-15T06:00:14.487349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:00:14.705995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신고 593
95.8%
허가 24
 
3.9%
변경신고 2
 
0.3%

관리기관전화번호
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
063-270-6674
371 
063-220-5332
168 
063-281-2423
81 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row063-281-2423
2nd row063-281-2423
3rd row063-281-2423
4th row063-281-2423
5th row063-281-2423

Common Values

ValueCountFrequency (%)
063-270-6674 371
59.8%
063-220-5332 168
27.1%
063-281-2423 81
 
13.1%

Length

2024-03-15T06:00:14.897042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:00:15.179298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
063-270-6674 371
59.8%
063-220-5332 168
27.1%
063-281-2423 81
 
13.1%

관리기관명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
전북특별자치도 전주시 덕진구청
371 
전북특별자치도 전주시 완산구청
168 
전북특별자치도 전주시청
81 

Length

Max length16
Median length16
Mean length15.477419
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전북특별자치도 전주시청
2nd row전북특별자치도 전주시청
3rd row전북특별자치도 전주시청
4th row전북특별자치도 전주시청
5th row전북특별자치도 전주시청

Common Values

ValueCountFrequency (%)
전북특별자치도 전주시 덕진구청 371
59.8%
전북특별자치도 전주시 완산구청 168
27.1%
전북특별자치도 전주시청 81
 
13.1%

Length

2024-03-15T06:00:15.577594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:00:15.932267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전북특별자치도 620
34.9%
전주시 539
30.3%
덕진구청 371
20.9%
완산구청 168
 
9.4%
전주시청 81
 
4.6%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
Minimum2024-01-12 00:00:00
Maximum2024-01-12 00:00:00
2024-03-15T06:00:16.240919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:00:16.617750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2024-03-15T06:00:16.785427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업무구분인허가구분관리기관전화번호관리기관명
업무구분1.0000.0460.1650.165
인허가구분0.0461.0000.2980.298
관리기관전화번호0.1650.2981.0001.000
관리기관명0.1650.2981.0001.000
2024-03-15T06:00:16.946378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리기관명업무구분인허가구분관리기관전화번호
관리기관명1.0000.2710.2861.000
업무구분0.2711.0000.0300.271
인허가구분0.2860.0301.0000.286
관리기관전화번호1.0000.2710.2861.000
2024-03-15T06:00:17.107411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업무구분인허가구분관리기관전화번호관리기관명
업무구분1.0000.0300.2710.271
인허가구분0.0301.0000.2860.286
관리기관전화번호0.2710.2861.0001.000
관리기관명0.2710.2861.0001.000

Missing values

2024-03-15T05:59:57.056509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T05:59:57.602000image/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.

Sample

업무구분인허가관리번호사업장명소재지지번주소소재지도로명주소전화번호대표업종인허가등록일자인허가구분관리기관전화번호관리기관명데이터기준일자
0대기배출업소관리4640000-21-1986-00010(주)대연콘크리트전북특별자치도 전주시 덕진구 팔복동4가 210전북특별자치도 전주시 덕진구 야전1길 24 (팔복동4가)063-211-3311레미콘 제조업1986-06-16신고063-281-2423전북특별자치도 전주시청2024-01-12
1대기배출업소관리4640000-21-1997-00010주식회사 진웅전북특별자치도 전주시 덕진구 팔복동3가 43전북특별자치도 전주시 덕진구 추천로 25-7 (팔복동3가)063-212-6767기타 화학제품 제조업1997-01-15신고063-281-2423전북특별자치도 전주시청2024-01-12
2대기배출업소관리4640000-21-1997-00014(유)전주산업전북특별자치도 전주시 덕진구 팔복동4가 196-1전북특별자치도 전주시 덕진구 감수길 10 (팔복동4가)063-212-6216코크스 및 연탄 제조업1997-01-18신고063-281-2423전북특별자치도 전주시청2024-01-12
3대기배출업소관리4640000-21-1997-00020(유)대연산업전북특별자치도 전주시 덕진구 팔복동4가 180-2전북특별자치도 전주시 덕진구 야전1길 71 (팔복동4가)063-2119133아스콘 제조업1997-01-31신고063-281-2423전북특별자치도 전주시청2024-01-12
4대기배출업소관리4640000-21-2000-00036(유)천변토건환경전북특별자치도 전주시 덕진구 팔복동3가 529-5전북특별자치도 전주시 덕진구 팔복로 221 (팔복동3가)063-212-8006건축폐기물 처리업2000-10-17신고063-281-2423전북특별자치도 전주시청2024-01-12
5대기배출업소관리4640000-21-2001-00041(유)고양산업전북특별자치도 전주시 덕진구 팔복동4가 180-11전북특별자치도 전주시 덕진구 감수길 10-42 (팔복동4가)063-212-8300아스콘 제조업2001-06-04신고063-281-2423전북특별자치도 전주시청2024-01-12
6대기배출업소관리4640000-21-2001-00042엔지니어스(주)전북특별자치도 전주시 덕진구 여의동 산 25-1전북특별자치도 전주시 덕진구 원만성로 21-28 (여의동)063-214-3456비금속광물제품 제조업2001-08-30신고063-281-2423전북특별자치도 전주시청2024-01-12
7대기배출업소관리4640000-21-2002-00002(주)흥산화성전북특별자치도 전주시 덕진구 팔복동4가 213-1전북특별자치도 전주시 덕진구 추천로 365 (팔복동4가)063-212-2008기타 화학제품 제조업2002-10-08신고063-281-2423전북특별자치도 전주시청2024-01-12
8대기배출업소관리4640000-21-2003-00006(유)삼성특수목재전북특별자치도 전주시 덕진구 팔복동1가 79-8전북특별자치도 전주시 덕진구 추천로 205 (팔복동1가)063-211-6224제재 및 목재 가공업1988-12-06신고063-281-2423전북특별자치도 전주시청2024-01-12
9대기배출업소관리4640000-21-2004-00014(유)우신전기전북특별자치도 전주시 덕진구 팔복동3가 44전북특별자치도 전주시 덕진구 추천로 25-1 (팔복동3가)063-212-0602배전반 및 전기자동제어반 제조업2004-05-14신고063-281-2423전북특별자치도 전주시청2024-01-12
업무구분인허가관리번호사업장명소재지지번주소소재지도로명주소전화번호대표업종인허가등록일자인허가구분관리기관전화번호관리기관명데이터기준일자
610폐수배출업소관리4660000-22-2020-00007달인광택손세차장전북특별자치도 전주시 덕진구 반월동 762-2전북특별자치도 전주시 덕진구 온고을로 761 (반월동)<NA>자동차 세차업2020-08-06신고063-270-6674전북특별자치도 전주시 덕진구청2024-01-12
611폐수배출업소관리4660000-22-2020-00008샤인엔드전북특별자치도 전주시 덕진구 여의동 1198-3전북특별자치도 전주시 덕진구 여실길 6 (여의동)<NA>자동차 세차업2020-08-11신고063-270-6674전북특별자치도 전주시 덕진구청2024-01-12
612폐수배출업소관리4660000-22-2020-00009동성카세차장전북특별자치도 전주시 덕진구 금암동 728-285전북특별자치도 전주시 덕진구 권삼득로 240-1 (금암동)자동차 세차업2020-08-27신고063-270-6674전북특별자치도 전주시 덕진구청2024-01-12
613폐수배출업소관리4660000-22-2020-00010달구지전북특별자치도 전주시 덕진구 만성동 15-8자동차 세차업2020-10-06신고063-270-6674전북특별자치도 전주시 덕진구청2024-01-12
614폐수배출업소관리4660000-22-2020-00011JB렌터카전북특별자치도 전주시 덕진구 팔복동1가 197-38전북특별자치도 전주시 덕진구 신복로 18 (팔복동1가)<NA>자동차 세차업2020-10-30신고063-270-6674전북특별자치도 전주시 덕진구청2024-01-12
615폐수배출업소관리4660000-22-2021-00001제이디팩토리전북특별자치도 전주시 덕진구 팔복동3가 81-1전북특별자치도 전주시 덕진구 온고을로 255 (팔복동3가)<NA>자동차 세차업2021-03-04신고063-270-6674전북특별자치도 전주시 덕진구청2024-01-12
616폐수배출업소관리4660000-22-2021-00002이든전북특별자치도 전주시 덕진구 성덕동 175-14전북특별자치도 전주시 덕진구 신성길 31-38 (성덕동)<NA>가금류 가공 및 저장 처리업2021-04-20신고063-270-6674전북특별자치도 전주시 덕진구청2024-01-12
617폐수배출업소관리4660000-22-2021-00003주식회사 굿팜전북특별자치도 전주시 덕진구 성덕동 175-14전북특별자치도 전주시 덕진구 신성길 31-38 2층 202호 (성덕동)<NA>기타 과실·채소 가공 및 저장처리업2021-04-20신고063-270-6674전북특별자치도 전주시 덕진구청2024-01-12
618폐수배출업소관리4660000-22-2021-00004에코시티주유소전북특별자치도 전주시 덕진구 송천동2가 54-9전북특별자치도 전주시 덕진구 동부대로 1021 (송천동2가)063-277-5180주유소 운영업2021-05-14신고063-270-6674전북특별자치도 전주시 덕진구청2024-01-12
619폐수배출업소관리4660000-22-2021-00005카제트워시전북특별자치도 전주시 덕진구 팔복동3가 22 외 4필지(21-2 21-5 21-6 39)<NA>자동차 세차업2021-09-27신고063-270-6674전북특별자치도 전주시 덕진구청2024-01-12