Overview

Dataset statistics

Number of variables6
Number of observations114
Missing cells6
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.5 KiB
Average record size in memory49.1 B

Variable types

Text6

Dataset

Description부산광역시 동구내 실내건축공사(인테리어), 기계설비공사, 철근ㆍ콘크리트공사 등 전문 건설업 관련 사업장 현황입니다.
Author부산광역시 동구
URLhttps://www.data.go.kr/data/15126566/fileData.do

Alerts

주력분야 has 6 (5.3%) missing valuesMissing
상호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 12:30:24.808096
Analysis finished2024-03-14 12:30:26.034228
Duration1.23 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호
Text

UNIQUE 

Distinct114
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-14T21:30:26.903254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10.5
Mean length7.3157895
Min length2

Characters and Unicode

Total characters834
Distinct characters158
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)100.0%

Sample

1st row(유)해밀산업개발
2nd row(주)경동엘리베이터
3rd row(주)국토건영
4th row(주)다산종합건설
5th row(주)대경테크
ValueCountFrequency (%)
유)해밀산업개발 1
 
0.9%
영진주택설비 1
 
0.9%
양승토건주식회사 1
 
0.9%
신진가스 1
 
0.9%
승화건설(주 1
 
0.9%
수정건축설비 1
 
0.9%
성훈건설주식회사 1
 
0.9%
성진주택설비 1
 
0.9%
성광건설(주 1
 
0.9%
서북건설(주 1
 
0.9%
Other values (104) 104
91.2%
2024-03-14T21:30:28.257312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 82
 
9.8%
( 58
 
7.0%
) 58
 
7.0%
건 35
 
4.2%
설 30
 
3.6%
사 27
 
3.2%
회 24
 
2.9%
이 23
 
2.8%
식 23
 
2.8%
비 15
 
1.8%
Other values (148) 459
55.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 714
85.6%
Open Punctuation 58
 
7.0%
Close Punctuation 58
 
7.0%
Uppercase Letter 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 82
 
11.5%
건 35
 
4.9%
설 30
 
4.2%
사 27
 
3.8%
회 24
 
3.4%
이 23
 
3.2%
식 23
 
3.2%
비 15
 
2.1%
동 14
 
2.0%
산 13
 
1.8%
Other values (142) 428
59.9%
Uppercase Letter
ValueCountFrequency (%)
L 1
25.0%
K 1
25.0%
F 1
25.0%
P 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 714
85.6%
Common 116
 
13.9%
Latin 4
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 82
 
11.5%
건 35
 
4.9%
설 30
 
4.2%
사 27
 
3.8%
회 24
 
3.4%
이 23
 
3.2%
식 23
 
3.2%
비 15
 
2.1%
동 14
 
2.0%
산 13
 
1.8%
Other values (142) 428
59.9%
Latin
ValueCountFrequency (%)
L 1
25.0%
K 1
25.0%
F 1
25.0%
P 1
25.0%
Common
ValueCountFrequency (%)
( 58
50.0%
) 58
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 714
85.6%
ASCII 120
 
14.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 82
 
11.5%
건 35
 
4.9%
설 30
 
4.2%
사 27
 
3.8%
회 24
 
3.4%
이 23
 
3.2%
식 23
 
3.2%
비 15
 
2.1%
동 14
 
2.0%
산 13
 
1.8%
Other values (142) 428
59.9%
ASCII
ValueCountFrequency (%)
( 58
48.3%
) 58
48.3%
L 1
 
0.8%
K 1
 
0.8%
F 1
 
0.8%
P 1
 
0.8%

대표자
Text

Distinct113
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-14T21:30:29.534907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.1315789
Min length2

Characters and Unicode

Total characters357
Distinct characters116
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique112 ?
Unique (%)98.2%

Sample

1st row이명환
2nd row김태백
3rd row차수열
4th row서재기
5th row황용수
ValueCountFrequency (%)
김경록 2
 
1.8%
이명환 1
 
0.9%
고영곤 1
 
0.9%
김회성 1
 
0.9%
위경화 1
 
0.9%
이동순,이석종 1
 
0.9%
정태선 1
 
0.9%
김영운 1
 
0.9%
조봉철 1
 
0.9%
김칠훈 1
 
0.9%
Other values (103) 103
90.4%
2024-03-14T21:30:31.126872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 21
 
5.9%
이 19
 
5.3%
정 15
 
4.2%
박 11
 
3.1%
수 9
 
2.5%
호 9
 
2.5%
재 8
 
2.2%
조 7
 
2.0%
경 7
 
2.0%
종 7
 
2.0%
Other values (106) 244
68.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 353
98.9%
Other Punctuation 4
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 21
 
5.9%
이 19
 
5.4%
정 15
 
4.2%
박 11
 
3.1%
수 9
 
2.5%
호 9
 
2.5%
재 8
 
2.3%
조 7
 
2.0%
경 7
 
2.0%
종 7
 
2.0%
Other values (105) 240
68.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 353
98.9%
Common 4
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 21
 
5.9%
이 19
 
5.4%
정 15
 
4.2%
박 11
 
3.1%
수 9
 
2.5%
호 9
 
2.5%
재 8
 
2.3%
조 7
 
2.0%
경 7
 
2.0%
종 7
 
2.0%
Other values (105) 240
68.0%
Common
ValueCountFrequency (%)
, 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 353
98.9%
ASCII 4
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 21
 
5.9%
이 19
 
5.4%
정 15
 
4.2%
박 11
 
3.1%
수 9
 
2.5%
호 9
 
2.5%
재 8
 
2.3%
조 7
 
2.0%
경 7
 
2.0%
종 7
 
2.0%
Other values (105) 240
68.0%
ASCII
ValueCountFrequency (%)
, 4
100.0%

업종
Text

Distinct62
Distinct (%)54.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-14T21:30:31.893335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length219
Median length105
Mean length39.798246
Min length7

Characters and Unicode

Total characters4537
Distinct characters85
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)41.2%

Sample

1st row실내건축공사업 금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업 도장ㆍ습식ㆍ방수ㆍ석공사업 철근ㆍ콘크리트공사업 시설물유지관리업 실내건축공사업(대업종전환)
2nd row승강기ㆍ삭도공사업 승강기설치공사업(대업종전환)
3rd row실내건축공사업 금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업 철물공사업(자진반납) 금속구조물ㆍ창호ㆍ온실공사업(대업종전환) 실내건축공사업(대업종전환)
4th row지반조성ㆍ포장공사업
5th row승강기ㆍ삭도공사업 승강기설치공사업(대업종전환)
ValueCountFrequency (%)
가스ㆍ난방공사업 29
 
7.5%
제2종(대업종전환 28
 
7.3%
가스시설시공업 22
 
5.7%
실내건축공사업 20
 
5.2%
난방시공업 20
 
5.2%
시설물유지관리업 18
 
4.7%
철근ㆍ콘크리트공사업 17
 
4.4%
지반조성ㆍ포장공사업 15
 
3.9%
실내건축공사업(대업종전환 14
 
3.6%
철근ㆍ콘크리트공사업(대업종전환 14
 
3.6%
Other values (52) 189
49.0%
2024-03-14T21:30:33.128635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 514
 
11.3%
공 326
 
7.2%
사 284
 
6.3%
272
 
6.0%
ㆍ 233
 
5.1%
종 190
 
4.2%
) 181
 
4.0%
( 181
 
4.0%
환 148
 
3.3%
전 148
 
3.3%
Other values (75) 2060
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3861
85.1%
Space Separator 272
 
6.0%
Close Punctuation 181
 
4.0%
Open Punctuation 181
 
4.0%
Decimal Number 42
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 514
 
13.3%
공 326
 
8.4%
사 284
 
7.4%
ㆍ 233
 
6.0%
종 190
 
4.9%
환 148
 
3.8%
전 148
 
3.8%
대 148
 
3.8%
설 109
 
2.8%
시 90
 
2.3%
Other values (69) 1671
43.3%
Decimal Number
ValueCountFrequency (%)
2 30
71.4%
3 10
 
23.8%
1 2
 
4.8%
Space Separator
ValueCountFrequency (%)
272
100.0%
Close Punctuation
ValueCountFrequency (%)
) 181
100.0%
Open Punctuation
ValueCountFrequency (%)
( 181
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3861
85.1%
Common 676
 
14.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 514
 
13.3%
공 326
 
8.4%
사 284
 
7.4%
ㆍ 233
 
6.0%
종 190
 
4.9%
환 148
 
3.8%
전 148
 
3.8%
대 148
 
3.8%
설 109
 
2.8%
시 90
 
2.3%
Other values (69) 1671
43.3%
Common
ValueCountFrequency (%)
272
40.2%
) 181
26.8%
( 181
26.8%
2 30
 
4.4%
3 10
 
1.5%
1 2
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3628
80.0%
ASCII 676
 
14.9%
Compat Jamo 233
 
5.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 514
 
14.2%
공 326
 
9.0%
사 284
 
7.8%
종 190
 
5.2%
환 148
 
4.1%
전 148
 
4.1%
대 148
 
4.1%
설 109
 
3.0%
시 90
 
2.5%
물 71
 
2.0%
Other values (68) 1600
44.1%
ASCII
ValueCountFrequency (%)
272
40.2%
) 181
26.8%
( 181
26.8%
2 30
 
4.4%
3 10
 
1.5%
1 2
 
0.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 233
100.0%

주력분야
Text

MISSING 

Distinct108
Distinct (%)100.0%
Missing6
Missing (%)5.3%
Memory size1.0 KiB
2024-03-14T21:30:33.883768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length159
Median length102
Mean length32.777778
Min length15

Characters and Unicode

Total characters3540
Distinct characters79
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique108 ?
Unique (%)100.0%

Sample

1st row실내건축공사(2021.01.26) 금속구조물ㆍ창호ㆍ온실공사(2022.01.01),지붕판금ㆍ건축물조립공사(2022.01.01) 도장공사(2022.01.01),습식ㆍ방수공사(2022.01.01),석공사(2022.01.01) 철근ㆍ콘크리트공사(2022.01.01)
2nd row승강기설치공사(2002.10.01)
3rd row실내건축공사(2002.09.05) 금속구조물ㆍ창호ㆍ온실공사(1998.11.28)
4th row토공사(2023.05.22)
5th row승강기설치공사(2013.11.13)
ValueCountFrequency (%)
수중공사(1992.09.01 1
 
0.7%
실내건축공사(2003.11.11 1
 
0.7%
수중공사(1989.12.01 1
 
0.7%
가스시설공사(제3종)(2011.07.21 1
 
0.7%
습식ㆍ방수공사(1999.03.28 1
 
0.7%
가스시설공사(제2종)(2015.09.22 1
 
0.7%
수중공사(2020.12.15),준설공사(2020.07.21 1
 
0.7%
철근ㆍ콘크리트공사(2021.09.02 1
 
0.7%
토공사(2011.06.27 1
 
0.7%
실내건축공사(2021.05.17 1
 
0.7%
Other values (135) 135
93.1%
2024-03-14T21:30:34.912629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 396
 
11.2%
. 340
 
9.6%
2 337
 
9.5%
1 258
 
7.3%
) 210
 
5.9%
( 210
 
5.9%
공 170
 
4.8%
사 170
 
4.8%
133
 
3.8%
9 119
 
3.4%
Other values (69) 1197
33.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1400
39.5%
Other Letter 1222
34.5%
Other Punctuation 365
 
10.3%
Close Punctuation 210
 
5.9%
Open Punctuation 210
 
5.9%
Space Separator 133
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 170
 
13.9%
사 170
 
13.9%
ㆍ 71
 
5.8%
설 53
 
4.3%
종 40
 
3.3%
제 40
 
3.3%
실 29
 
2.4%
조 27
 
2.2%
비 27
 
2.2%
방 25
 
2.0%
Other values (54) 570
46.6%
Decimal Number
ValueCountFrequency (%)
0 396
28.3%
2 337
24.1%
1 258
18.4%
9 119
 
8.5%
3 80
 
5.7%
8 54
 
3.9%
5 45
 
3.2%
7 40
 
2.9%
4 37
 
2.6%
6 34
 
2.4%
Other Punctuation
ValueCountFrequency (%)
. 340
93.2%
, 25
 
6.8%
Close Punctuation
ValueCountFrequency (%)
) 210
100.0%
Open Punctuation
ValueCountFrequency (%)
( 210
100.0%
Space Separator
ValueCountFrequency (%)
133
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2318
65.5%
Hangul 1222
34.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 170
 
13.9%
사 170
 
13.9%
ㆍ 71
 
5.8%
설 53
 
4.3%
종 40
 
3.3%
제 40
 
3.3%
실 29
 
2.4%
조 27
 
2.2%
비 27
 
2.2%
방 25
 
2.0%
Other values (54) 570
46.6%
Common
ValueCountFrequency (%)
0 396
17.1%
. 340
14.7%
2 337
14.5%
1 258
11.1%
) 210
9.1%
( 210
9.1%
133
 
5.7%
9 119
 
5.1%
3 80
 
3.5%
8 54
 
2.3%
Other values (5) 181
7.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2318
65.5%
Hangul 1151
32.5%
Compat Jamo 71
 
2.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 396
17.1%
. 340
14.7%
2 337
14.5%
1 258
11.1%
) 210
9.1%
( 210
9.1%
133
 
5.7%
9 119
 
5.1%
3 80
 
3.5%
8 54
 
2.3%
Other values (5) 181
7.8%
Hangul
ValueCountFrequency (%)
공 170
 
14.8%
사 170
 
14.8%
설 53
 
4.6%
종 40
 
3.5%
제 40
 
3.5%
실 29
 
2.5%
조 27
 
2.3%
비 27
 
2.3%
방 25
 
2.2%
시 24
 
2.1%
Other values (53) 546
47.4%
Compat Jamo
ValueCountFrequency (%)
ㆍ 71
100.0%

영업소재지(도로명주소)
Text

Distinct113
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-14T21:30:35.874156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length42
Mean length29.473684
Min length20

Characters and Unicode

Total characters3360
Distinct characters121
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique112 ?
Unique (%)98.2%

Sample

1st row부산광역시 동구 조방로 38 301호 마포빌딩 (범일동)
2nd row부산광역시 동구 초량중로 114 범양레우스 센터럴베이 1층 101호 (초량동)
3rd row부산광역시 동구 중앙대로 342 5층 (초량동)
4th row부산광역시 동구 자성로141번길 11 1108호 (범일동)
5th row부산광역시 동구 망양로685번길 16 (수정동)
ValueCountFrequency (%)
부산광역시 114
 
16.9%
동구 114
 
16.9%
초량동 42
 
6.2%
범일동 29
 
4.3%
중앙대로 22
 
3.3%
수정동 20
 
3.0%
좌천동 13
 
1.9%
조방로 10
 
1.5%
2층 8
 
1.2%
망양로 8
 
1.2%
Other values (216) 295
43.7%
2024-03-14T21:30:37.081235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
561
 
16.7%
동 244
 
7.3%
1 155
 
4.6%
( 120
 
3.6%
) 119
 
3.5%
산 118
 
3.5%
부 115
 
3.4%
시 115
 
3.4%
광 114
 
3.4%
역 114
 
3.4%
Other values (111) 1585
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1899
56.5%
Decimal Number 600
 
17.9%
Space Separator 561
 
16.7%
Open Punctuation 120
 
3.6%
Close Punctuation 119
 
3.5%
Other Punctuation 35
 
1.0%
Dash Punctuation 23
 
0.7%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 244
 
12.8%
산 118
 
6.2%
부 115
 
6.1%
시 115
 
6.1%
광 114
 
6.0%
역 114
 
6.0%
구 114
 
6.0%
로 113
 
6.0%
초 57
 
3.0%
량 56
 
2.9%
Other values (91) 739
38.9%
Decimal Number
ValueCountFrequency (%)
1 155
25.8%
2 93
15.5%
3 81
13.5%
0 71
11.8%
6 50
 
8.3%
5 36
 
6.0%
4 34
 
5.7%
9 31
 
5.2%
8 30
 
5.0%
7 19
 
3.2%
Other Punctuation
ValueCountFrequency (%)
, 30
85.7%
， 4
 
11.4%
. 1
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
T 1
33.3%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
561
100.0%
Open Punctuation
ValueCountFrequency (%)
( 120
100.0%
Close Punctuation
ValueCountFrequency (%)
) 119
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1899
56.5%
Common 1458
43.4%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 244
 
12.8%
산 118
 
6.2%
부 115
 
6.1%
시 115
 
6.1%
광 114
 
6.0%
역 114
 
6.0%
구 114
 
6.0%
로 113
 
6.0%
초 57
 
3.0%
량 56
 
2.9%
Other values (91) 739
38.9%
Common
ValueCountFrequency (%)
561
38.5%
1 155
 
10.6%
( 120
 
8.2%
) 119
 
8.2%
2 93
 
6.4%
3 81
 
5.6%
0 71
 
4.9%
6 50
 
3.4%
5 36
 
2.5%
4 34
 
2.3%
Other values (7) 138
 
9.5%
Latin
ValueCountFrequency (%)
S 1
33.3%
T 1
33.3%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1899
56.5%
ASCII 1457
43.4%
None 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
561
38.5%
1 155
 
10.6%
( 120
 
8.2%
) 119
 
8.2%
2 93
 
6.4%
3 81
 
5.6%
0 71
 
4.9%
6 50
 
3.4%
5 36
 
2.5%
4 34
 
2.3%
Other values (9) 137
 
9.4%
Hangul
ValueCountFrequency (%)
동 244
 
12.8%
산 118
 
6.2%
부 115
 
6.1%
시 115
 
6.1%
광 114
 
6.0%
역 114
 
6.0%
구 114
 
6.0%
로 113
 
6.0%
초 57
 
3.0%
량 56
 
2.9%
Other values (91) 739
38.9%
None
ValueCountFrequency (%)
， 4
100.0%

전화번호
Text

Distinct104
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-14T21:30:37.924433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.964912
Min length11

Characters and Unicode

Total characters1364
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

Unique101 ?
Unique (%)88.6%

Sample

1st row051-892-0764
2nd row051-807-4091
3rd row051-462-1135
4th row051-808-5955
5th row051-442-4893
ValueCountFrequency (%)
051-000-0000 6
 
5.3%
00-000-0000 5
 
4.4%
051-505-9515 2
 
1.8%
051-747-7033 1
 
0.9%
051-468-3333 1
 
0.9%
051-627-0717 1
 
0.9%
051-441-8808 1
 
0.9%
051-643-2255 1
 
0.9%
051-808-9160 1
 
0.9%
051-464-9560 1
 
0.9%
Other values (94) 94
82.5%
2024-03-14T21:30:39.012746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 275
20.2%
- 228
16.7%
5 170
12.5%
1 167
12.2%
4 118
8.7%
6 98
 
7.2%
3 80
 
5.9%
8 64
 
4.7%
9 55
 
4.0%
2 55
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1136
83.3%
Dash Punctuation 228
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 275
24.2%
5 170
15.0%
1 167
14.7%
4 118
10.4%
6 98
 
8.6%
3 80
 
7.0%
8 64
 
5.6%
9 55
 
4.8%
2 55
 
4.8%
7 54
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 228
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1364
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 275
20.2%
- 228
16.7%
5 170
12.5%
1 167
12.2%
4 118
8.7%
6 98
 
7.2%
3 80
 
5.9%
8 64
 
4.7%
9 55
 
4.0%
2 55
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1364
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 275
20.2%
- 228
16.7%
5 170
12.5%
1 167
12.2%
4 118
8.7%
6 98
 
7.2%
3 80
 
5.9%
8 64
 
4.7%
9 55
 
4.0%
2 55
 
4.0%

Missing values

2024-03-14T21:30:25.438489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T21:30:25.896018image/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

상호대표자업종주력분야영업소재지(도로명주소)전화번호
0(유)해밀산업개발이명환실내건축공사업 금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업 도장ㆍ습식ㆍ방수ㆍ석공사업 철근ㆍ콘크리트공사업 시설물유지관리업 실내건축공사업(대업종전환)실내건축공사(2021.01.26) 금속구조물ㆍ창호ㆍ온실공사(2022.01.01),지붕판금ㆍ건축물조립공사(2022.01.01) 도장공사(2022.01.01),습식ㆍ방수공사(2022.01.01),석공사(2022.01.01) 철근ㆍ콘크리트공사(2022.01.01)부산광역시 동구 조방로 38 301호 마포빌딩 (범일동)051-892-0764
1(주)경동엘리베이터김태백승강기ㆍ삭도공사업 승강기설치공사업(대업종전환)승강기설치공사(2002.10.01)부산광역시 동구 초량중로 114 범양레우스 센터럴베이 1층 101호 (초량동)051-807-4091
2(주)국토건영차수열실내건축공사업 금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업 철물공사업(자진반납) 금속구조물ㆍ창호ㆍ온실공사업(대업종전환) 실내건축공사업(대업종전환)실내건축공사(2002.09.05) 금속구조물ㆍ창호ㆍ온실공사(1998.11.28)부산광역시 동구 중앙대로 342 5층 (초량동)051-462-1135
3(주)다산종합건설서재기지반조성ㆍ포장공사업토공사(2023.05.22)부산광역시 동구 자성로141번길 11 1108호 (범일동)051-808-5955
4(주)대경테크황용수승강기ㆍ삭도공사업 승강기설치공사업(대업종전환)승강기설치공사(2013.11.13)부산광역시 동구 망양로685번길 16 (수정동)051-442-4893
5(주)대하아이에스디하정훈실내건축공사업 실내건축공사업(대업종전환)실내건축공사(2017.04.06)부산광역시 동구 중앙대로 527 (범일동)051-403-4040
6(주)도건건설유은주시설물유지관리업 실내건축공사업 실내건축공사업(대업종전환)실내건축공사(2009.05.22)부산광역시 동구 망양로 585 2층 (초량동)051-645-1022
7(주)동진기초신상재지반조성ㆍ포장공사업 구조물해체ㆍ비계공사업 철근ㆍ콘크리트공사업(자진반납) 상ㆍ하수도설비공사업(자진반납) 비계ㆍ구조물해체공사업(대업종전환) 토공사업(대업종전환) 보링ㆍ그라우팅공사업(대업종전환)보링ㆍ그라우팅ㆍ파일공사(1997.03.08) 구조물해체ㆍ비계공사(2000.07.25)부산광역시 동구 중앙대로286번길 9 녹원빌딩 603호 (초량동)051-465-2785
8(주)럭키산업개발김경록실내건축공사업 실내건축공사업(대업종전환)실내건축공사(2015.04.21)부산광역시 동구 중앙대로 292 1층 (초량동)051-505-9515
9(주)명성이엔씨정경태기계설비ㆍ가스공사업 기계설비공사업(대업종전환)기계설비공사(2014.05.21)부산광역시 동구 자유평화로 32 화신빌딩 3층 (범일동)051-644-3119
상호대표자업종주력분야영업소재지(도로명주소)전화번호
104태형건업김석기실내건축공사업 실내건축공사업(대업종전환)실내건축공사(2021.12.17)부산광역시 동구 조방로 17, 402호(범일동)051-633-1353
105평화지오텍(주)박종호철근ㆍ콘크리트공사업 지반조성ㆍ포장공사업 보링ㆍ그라우팅공사업(대업종전환) 토공사업(대업종전환)철근ㆍ콘크리트공사(2022.09.28) 토공사(2009.06.19),보링ㆍ그라우팅ㆍ파일공사(2006.02.24)부산광역시 동구 중앙대로 169 태영노블리안 1203호 (초량동)051-442-3456
106풍남상사김명종가스ㆍ난방공사업 가스시설시공업 제3종(대업종전환) 난방시공업 제2종(대업종전환)가스시설공사(제3종)(1995.08.03),난방공사(제2종)(1992.11.18)부산광역시 동구 초량상로157번길 26 (수정동)051-467-5444
107한국가스산업(주)고재웅기계설비ㆍ가스공사업 가스시설시공업 제1종(대업종전환)가스시설공사(제1종)(1998.05.19)부산광역시 동구 자성로133번길 39 (범일동)051-636-3132
108함양상회전기수도철물박정호가스ㆍ난방공사업 난방시공업 제2종(대업종전환) 가스시설시공업 제3종(대업종전환)가스시설공사(제3종)(2019.01.08),난방공사(제2종)(2018.09.07)부산광역시 동구 초량중로 10 (초량동)051-881-3573
109해웅수중개발주식회사이주천철근ㆍ콘크리트공사업 수중ㆍ준설공사업 수중공사업(대업종전환) 철근ㆍ콘크리트공사업(대업종전환)철근ㆍ콘크리트공사(2012.05.18) 수중공사(2006.12.14)부산광역시 동구 중앙대로236번길 12 왕자빌딩 803 (초량동)051-462-4025
110협성개발(주)최은옥조경식재ㆍ시설물공사업 기계설비ㆍ가스공사업 시설물유지관리업 기계설비공사업(대업종전환) 조경식재공사업(대업종전환)조경식재공사(2008.11.13) 기계설비공사(2002.05.07)부산광역시 동구 조방로 39 썬오피스텔 (범일동)051-643-1101
111협성건업(주)정철원수중ㆍ준설공사업 구조물해체ㆍ비계공사업 지반조성ㆍ포장공사업 철근ㆍ콘크리트공사업 상ㆍ하수도설비공사업(폐업) 비계ㆍ구조물해체공사업(폐업) 포장공사업(폐업) 철근ㆍ콘크리트공사업(대업종전환) 토공사업(대업종전환) 비계ㆍ구조물해체공사업(대업종전환) 준설공사업(대업종전환) 수중공사업(대업종전환)수중공사(1978.06.01),준설공사(2005.08.25) 구조물해체ㆍ비계공사(2020.11.25) 토공사(1978.06.01) 철근ㆍ콘크리트공사(2000.08.28)부산광역시 동구 중앙대로 360 1001호 협성타워(수정동) (수정동)051-440-7064
112화신건축설비조병수가스ㆍ난방공사업 난방시공업 제2종(대업종전환)난방공사(제2종)(2001.03.16)부산광역시 동구 고관로63번길 15-1(수정동)051-467-1540
113효한전기주식회사홍순선기계설비ㆍ가스공사업 기계설비공사업(대업종전환)기계설비공사(2020.09.04)부산광역시 동구 중앙대로 287 (초량동)051-468-0937