Overview

Dataset statistics

Number of variables6
Number of observations329
Missing cells3
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.6 KiB
Average record size in memory48.4 B

Variable types

Text4
Categorical2

Dataset

Description부산광역시_동래구_전문건설업등록현황_20230921
Author부산광역시 동래구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3040178

Alerts

구군명 has constant value ""Constant
데이터기준 has constant value ""Constant
상호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:16:26.343035
Analysis finished2023-12-10 16:16:27.223300
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호
Text

UNIQUE 

Distinct329
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-11T01:16:27.472719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length7.6261398
Min length2

Characters and Unicode

Total characters2509
Distinct characters229
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique329 ?
Unique (%)100.0%

Sample

1st row(주)가원이앤씨
2nd row(주)거웅이엔지
3rd row(주)건안건설
4th row(주)건일개발
5th row(주)경동엔씨에스
ValueCountFrequency (%)
주)가원이앤씨 1
 
0.3%
성광건축설비 1
 
0.3%
선경건축설비 1
 
0.3%
석봉건설(주 1
 
0.3%
서울설비철물 1
 
0.3%
서우건축(주 1
 
0.3%
서연건설(주 1
 
0.3%
서연개발(주 1
 
0.3%
서미건설주식회사 1
 
0.3%
삼일건설(주 1
 
0.3%
Other values (319) 319
97.0%
2023-12-11T01:16:28.033370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
264
 
10.5%
( 214
 
8.5%
) 214
 
8.5%
108
 
4.3%
107
 
4.3%
67
 
2.7%
60
 
2.4%
50
 
2.0%
50
 
2.0%
46
 
1.8%
Other values (219) 1329
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2062
82.2%
Open Punctuation 214
 
8.5%
Close Punctuation 214
 
8.5%
Uppercase Letter 16
 
0.6%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
264
 
12.8%
108
 
5.2%
107
 
5.2%
67
 
3.2%
60
 
2.9%
50
 
2.4%
50
 
2.4%
46
 
2.2%
37
 
1.8%
35
 
1.7%
Other values (206) 1238
60.0%
Uppercase Letter
ValueCountFrequency (%)
G 4
25.0%
N 3
18.8%
E 2
12.5%
D 2
12.5%
L 1
 
6.2%
H 1
 
6.2%
J 1
 
6.2%
S 1
 
6.2%
C 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
& 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 214
100.0%
Close Punctuation
ValueCountFrequency (%)
) 214
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2062
82.2%
Common 431
 
17.2%
Latin 16
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
264
 
12.8%
108
 
5.2%
107
 
5.2%
67
 
3.2%
60
 
2.9%
50
 
2.4%
50
 
2.4%
46
 
2.2%
37
 
1.8%
35
 
1.7%
Other values (206) 1238
60.0%
Latin
ValueCountFrequency (%)
G 4
25.0%
N 3
18.8%
E 2
12.5%
D 2
12.5%
L 1
 
6.2%
H 1
 
6.2%
J 1
 
6.2%
S 1
 
6.2%
C 1
 
6.2%
Common
ValueCountFrequency (%)
( 214
49.7%
) 214
49.7%
. 2
 
0.5%
& 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2062
82.2%
ASCII 447
 
17.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
264
 
12.8%
108
 
5.2%
107
 
5.2%
67
 
3.2%
60
 
2.9%
50
 
2.4%
50
 
2.4%
46
 
2.2%
37
 
1.8%
35
 
1.7%
Other values (206) 1238
60.0%
ASCII
ValueCountFrequency (%)
( 214
47.9%
) 214
47.9%
G 4
 
0.9%
N 3
 
0.7%
E 2
 
0.4%
D 2
 
0.4%
. 2
 
0.4%
& 1
 
0.2%
L 1
 
0.2%
H 1
 
0.2%
Other values (3) 3
 
0.7%

업종
Text

Distinct75
Distinct (%)22.9%
Missing1
Missing (%)0.3%
Memory size2.7 KiB
2023-12-11T01:16:28.354309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length37
Mean length12.75
Min length7

Characters and Unicode

Total characters4182
Distinct characters55
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

Unique48 ?
Unique (%)14.6%

Sample

1st row기계설비ㆍ가스공사업
2nd row기계설비ㆍ가스공사업
3rd row철근ㆍ콘크리트공사업
4th row도장ㆍ습식ㆍ방수ㆍ석공사업
5th row가스ㆍ난방공사업
ValueCountFrequency (%)
가스ㆍ난방공사업 69
18.6%
실내건축공사업 51
13.8%
기계설비ㆍ가스공사업 38
10.3%
도장ㆍ습식ㆍ방수ㆍ석공사업 32
8.6%
시설물유지관리업 28
7.6%
상ㆍ하수도설비공사업 28
7.6%
금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업 20
 
5.4%
철근ㆍ콘크리트공사업 20
 
5.4%
조경식재ㆍ시설물공사업 18
 
4.9%
지반조성ㆍ포장공사업 17
 
4.6%
Other values (25) 49
13.2%
2023-12-11T01:16:28.833596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
432
 
10.3%
403
 
9.6%
365
 
8.7%
365
 
8.7%
178
 
4.3%
131
 
3.1%
109
 
2.6%
109
 
2.6%
107
 
2.6%
103
 
2.5%
Other values (45) 1880
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3960
94.7%
Space Separator 178
 
4.3%
Other Punctuation 44
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
432
 
10.9%
403
 
10.2%
365
 
9.2%
365
 
9.2%
131
 
3.3%
109
 
2.8%
109
 
2.8%
107
 
2.7%
103
 
2.6%
93
 
2.3%
Other values (43) 1743
44.0%
Space Separator
ValueCountFrequency (%)
178
100.0%
Other Punctuation
ValueCountFrequency (%)
, 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3960
94.7%
Common 222
 
5.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
432
 
10.9%
403
 
10.2%
365
 
9.2%
365
 
9.2%
131
 
3.3%
109
 
2.8%
109
 
2.8%
107
 
2.7%
103
 
2.6%
93
 
2.3%
Other values (43) 1743
44.0%
Common
ValueCountFrequency (%)
178
80.2%
, 44
 
19.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3528
84.4%
Compat Jamo 432
 
10.3%
ASCII 222
 
5.3%

Most frequent character per block

Compat Jamo
ValueCountFrequency (%)
432
100.0%
Hangul
ValueCountFrequency (%)
403
 
11.4%
365
 
10.3%
365
 
10.3%
131
 
3.7%
109
 
3.1%
109
 
3.1%
107
 
3.0%
103
 
2.9%
93
 
2.6%
92
 
2.6%
Other values (42) 1651
46.8%
ASCII
ValueCountFrequency (%)
178
80.2%
, 44
 
19.8%
Distinct322
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-11T01:16:29.554700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length43
Mean length30.699088
Min length22

Characters and Unicode

Total characters10100
Distinct characters176
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique315 ?
Unique (%)95.7%

Sample

1st row부산광역시 동래구 충렬대로387번길 24 비 101호 (안락동, 신성스카이)
2nd row부산광역시 동래구 아시아드대로207번길 22 (온천동)
3rd row부산광역시 동래구 반송로 217 ,2층 (안락동)
4th row부산광역시 동래구 명륜로 65 (수안동)
5th row부산광역시 동래구 석사북로 80, 1층 (온천동)
ValueCountFrequency (%)
부산광역시 329
 
16.5%
동래구 329
 
16.5%
온천동 91
 
4.6%
안락동 82
 
4.1%
2층 47
 
2.4%
사직동 46
 
2.3%
명장동 30
 
1.5%
3층 30
 
1.5%
24
 
1.2%
명륜동 24
 
1.2%
Other values (471) 957
48.1%
2023-12-11T01:16:30.505772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1660
 
16.4%
716
 
7.1%
363
 
3.6%
1 353
 
3.5%
348
 
3.4%
) 342
 
3.4%
( 342
 
3.4%
335
 
3.3%
333
 
3.3%
330
 
3.3%
Other values (166) 4978
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5896
58.4%
Decimal Number 1710
 
16.9%
Space Separator 1660
 
16.4%
Close Punctuation 342
 
3.4%
Open Punctuation 342
 
3.4%
Other Punctuation 100
 
1.0%
Dash Punctuation 46
 
0.5%
Uppercase Letter 2
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
716
 
12.1%
363
 
6.2%
348
 
5.9%
335
 
5.7%
333
 
5.6%
330
 
5.6%
330
 
5.6%
329
 
5.6%
327
 
5.5%
183
 
3.1%
Other values (146) 2302
39.0%
Decimal Number
ValueCountFrequency (%)
1 353
20.6%
2 291
17.0%
3 231
13.5%
0 184
10.8%
5 132
 
7.7%
4 123
 
7.2%
7 117
 
6.8%
8 105
 
6.1%
6 100
 
5.8%
9 74
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 91
91.0%
9
 
9.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
F 1
50.0%
Lowercase Letter
ValueCountFrequency (%)
s 1
50.0%
k 1
50.0%
Space Separator
ValueCountFrequency (%)
1660
100.0%
Close Punctuation
ValueCountFrequency (%)
) 342
100.0%
Open Punctuation
ValueCountFrequency (%)
( 342
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5896
58.4%
Common 4200
41.6%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
716
 
12.1%
363
 
6.2%
348
 
5.9%
335
 
5.7%
333
 
5.6%
330
 
5.6%
330
 
5.6%
329
 
5.6%
327
 
5.5%
183
 
3.1%
Other values (146) 2302
39.0%
Common
ValueCountFrequency (%)
1660
39.5%
1 353
 
8.4%
) 342
 
8.1%
( 342
 
8.1%
2 291
 
6.9%
3 231
 
5.5%
0 184
 
4.4%
5 132
 
3.1%
4 123
 
2.9%
7 117
 
2.8%
Other values (6) 425
 
10.1%
Latin
ValueCountFrequency (%)
B 1
25.0%
F 1
25.0%
s 1
25.0%
k 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5896
58.4%
ASCII 4195
41.5%
None 9
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1660
39.6%
1 353
 
8.4%
) 342
 
8.2%
( 342
 
8.2%
2 291
 
6.9%
3 231
 
5.5%
0 184
 
4.4%
5 132
 
3.1%
4 123
 
2.9%
7 117
 
2.8%
Other values (9) 420
 
10.0%
Hangul
ValueCountFrequency (%)
716
 
12.1%
363
 
6.2%
348
 
5.9%
335
 
5.7%
333
 
5.6%
330
 
5.6%
330
 
5.6%
329
 
5.6%
327
 
5.5%
183
 
3.1%
Other values (146) 2302
39.0%
None
ValueCountFrequency (%)
9
100.0%
Distinct323
Distinct (%)98.8%
Missing2
Missing (%)0.6%
Memory size2.7 KiB
2023-12-11T01:16:30.970797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.027523
Min length11

Characters and Unicode

Total characters3933
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

Unique321 ?
Unique (%)98.2%

Sample

1st row051-523-4800
2nd row051-554-3248
3rd row051-703-6301
4th row051-531-4757
5th row051-556-3651
ValueCountFrequency (%)
051-806-6442 4
 
1.2%
051-507-4434 2
 
0.6%
051-553-1656 1
 
0.3%
051-552-1300 1
 
0.3%
051-505-6800 1
 
0.3%
051-554-0482 1
 
0.3%
051-553-2329 1
 
0.3%
051-531-4408 1
 
0.3%
051-501-1513 1
 
0.3%
070-7747-9090 1
 
0.3%
Other values (313) 313
95.7%
2023-12-11T01:16:31.687286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 790
20.1%
- 654
16.6%
0 617
15.7%
1 542
13.8%
7 233
 
5.9%
2 225
 
5.7%
8 213
 
5.4%
4 186
 
4.7%
3 175
 
4.4%
6 165
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3279
83.4%
Dash Punctuation 654
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 790
24.1%
0 617
18.8%
1 542
16.5%
7 233
 
7.1%
2 225
 
6.9%
8 213
 
6.5%
4 186
 
5.7%
3 175
 
5.3%
6 165
 
5.0%
9 133
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 654
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3933
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 790
20.1%
- 654
16.6%
0 617
15.7%
1 542
13.8%
7 233
 
5.9%
2 225
 
5.7%
8 213
 
5.4%
4 186
 
4.7%
3 175
 
4.4%
6 165
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3933
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 790
20.1%
- 654
16.6%
0 617
15.7%
1 542
13.8%
7 233
 
5.9%
2 225
 
5.7%
8 213
 
5.4%
4 186
 
4.7%
3 175
 
4.4%
6 165
 
4.2%

구군명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
부산광역시 동래구
329 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산광역시 동래구
2nd row부산광역시 동래구
3rd row부산광역시 동래구
4th row부산광역시 동래구
5th row부산광역시 동래구

Common Values

ValueCountFrequency (%)
부산광역시 동래구 329
100.0%

Length

2023-12-11T01:16:31.917172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:16:32.060085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 329
50.0%
동래구 329
50.0%

데이터기준
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-09-21
329 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-21
2nd row2023-09-21
3rd row2023-09-21
4th row2023-09-21
5th row2023-09-21

Common Values

ValueCountFrequency (%)
2023-09-21 329
100.0%

Length

2023-12-11T01:16:32.189805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:16:32.324763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-21 329
100.0%

Missing values

2023-12-11T01:16:26.824995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:16:27.002798image/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.
2023-12-11T01:16:27.149836image/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

상호업종소재지전화번호구군명데이터기준
0(주)가원이앤씨기계설비ㆍ가스공사업부산광역시 동래구 충렬대로387번길 24 비 101호 (안락동, 신성스카이)051-523-4800부산광역시 동래구2023-09-21
1(주)거웅이엔지기계설비ㆍ가스공사업부산광역시 동래구 아시아드대로207번길 22 (온천동)051-554-3248부산광역시 동래구2023-09-21
2(주)건안건설철근ㆍ콘크리트공사업부산광역시 동래구 반송로 217 ,2층 (안락동)051-703-6301부산광역시 동래구2023-09-21
3(주)건일개발도장ㆍ습식ㆍ방수ㆍ석공사업부산광역시 동래구 명륜로 65 (수안동)051-531-4757부산광역시 동래구2023-09-21
4(주)경동엔씨에스가스ㆍ난방공사업부산광역시 동래구 석사북로 80, 1층 (온천동)051-556-3651부산광역시 동래구2023-09-21
5(주)경전토건철근ㆍ콘크리트공사업부산광역시 동래구 사직북로28번길 154 202호 (온천동)051-501-2688부산광역시 동래구2023-09-21
6(주)고려엔지니어링종합건설시설물유지관리업부산광역시 동래구 충렬대로237번길 66 301호,502호(복천동,동림빌딩) (복천동)051-501-2366부산광역시 동래구2023-09-21
7(주)공감대한이앤씨건축사사무소시설물유지관리업부산광역시 동래구 충렬대로 368 상가 201호 (안락동, 롯데캐슬애브뉴)051-513-0411부산광역시 동래구2023-09-21
8(주)금강건설금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업부산광역시 동래구 충렬대로335번길 5 (안락동)051-556-1195부산광역시 동래구2023-09-21
9(주)금산탄성도장ㆍ습식ㆍ방수ㆍ석공사업부산광역시 동래구 석사북로 74 , 1층 (온천동)051-505-0452부산광역시 동래구2023-09-21
상호업종소재지전화번호구군명데이터기준
319청호건설주식회사실내건축공사업,시설물유지관리업,금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업부산광역시 동래구 석사북로97번가길 20-1 (온천동)051-552-1300부산광역시 동래구2023-09-21
320충렬가스가스ㆍ난방공사업부산광역시 동래구 명안로86번길 5-3 충렬가스 (명장동)051-528-2828부산광역시 동래구2023-09-21
321친구조경건설(주)조경식재ㆍ시설물공사업부산광역시 동래구 충렬대로200번길 25 한진타운상가 206호,207호 (수안동)051-756-0079부산광역시 동래구2023-09-21
322친절가스가스ㆍ난방공사업부산광역시 동래구 명장로 116-1 (명장동)051-528-8888부산광역시 동래구2023-09-21
323코리아보일러가스ㆍ난방공사업부산광역시 동래구 충렬사로 81 상가동 1층 103호 (명장동, 국제파크아파트)051-710-1187부산광역시 동래구2023-09-21
324풍산건설(주)상ㆍ하수도설비공사업, 시설물유지관리업부산광역시 동래구 동래로57번길 30-11 2층 (명륜동)051-806-6442부산광역시 동래구2023-09-21
325한국설비가스ㆍ난방공사업부산광역시 동래구 명안로9번길 108 (안락동)051-522-1788부산광역시 동래구2023-09-21
326한성설비가스ㆍ난방공사업부산광역시 동래구 온천장로125번길 65 (온천동)051-554-8349부산광역시 동래구2023-09-21
327함안수도보일러가스ㆍ난방공사업부산광역시 동래구 아시아드대로195번길 41 (사직동)051-502-0053부산광역시 동래구2023-09-21
328현대설비가스ㆍ난방공사업부산광역시 동래구 사직북로 71-32, 산용산호빌라 108호 (사직동)051-504-6261부산광역시 동래구2023-09-21