Overview

Dataset statistics

Number of variables6
Number of observations382
Missing cells15
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.4 KiB
Average record size in memory49.3 B

Variable types

Numeric1
Text3
Categorical1
DateTime1

Dataset

Description부산광역시부산진구_전문건설업정보_20230608
Author부산광역시 부산진구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3080149

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 15 (3.9%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:32:56.157113
Analysis finished2023-12-10 16:32:57.104334
Duration0.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct382
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean191.5
Minimum1
Maximum382
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-11T01:32:57.236805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile20.05
Q196.25
median191.5
Q3286.75
95-th percentile362.95
Maximum382
Range381
Interquartile range (IQR)190.5

Descriptive statistics

Standard deviation110.41814
Coefficient of variation (CV)0.57659606
Kurtosis-1.2
Mean191.5
Median Absolute Deviation (MAD)95.5
Skewness0
Sum73153
Variance12192.167
MonotonicityStrictly increasing
2023-12-11T01:32:57.472923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
253 1
 
0.3%
262 1
 
0.3%
261 1
 
0.3%
260 1
 
0.3%
259 1
 
0.3%
258 1
 
0.3%
257 1
 
0.3%
256 1
 
0.3%
255 1
 
0.3%
Other values (372) 372
97.4%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
382 1
0.3%
381 1
0.3%
380 1
0.3%
379 1
0.3%
378 1
0.3%
377 1
0.3%
376 1
0.3%
375 1
0.3%
374 1
0.3%
373 1
0.3%

상호
Text

Distinct293
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-11T01:32:57.936919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length14
Mean length7.5575916
Min length2

Characters and Unicode

Total characters2887
Distinct characters234
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique237 ?
Unique (%)62.0%

Sample

1st row(유)제이피건설
2nd row(주)가가이엔지
3rd row(주)가람토건
4th row(주)강산건설
5th row(주)경방수도사
ValueCountFrequency (%)
청수건설(주 7
 
1.8%
고려특수건설(주 7
 
1.8%
주)도방건설 4
 
1.0%
주)세정이엔지 4
 
1.0%
한길토건(주 4
 
1.0%
주)신우하이텍 4
 
1.0%
대림종합건설(주 4
 
1.0%
주)해창건설 3
 
0.8%
주)우주개발 3
 
0.8%
주)목림건설 3
 
0.8%
Other values (283) 339
88.7%
2023-12-11T01:32:58.726281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 299
 
10.4%
( 238
 
8.2%
) 237
 
8.2%
설 140
 
4.8%
건 139
 
4.8%
사 74
 
2.6%
회 58
 
2.0%
식 58
 
2.0%
이 51
 
1.8%
업 47
 
1.6%
Other values (224) 1546
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2384
82.6%
Open Punctuation 238
 
8.2%
Close Punctuation 237
 
8.2%
Uppercase Letter 19
 
0.7%
Other Punctuation 6
 
0.2%
Decimal Number 2
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 299
 
12.5%
설 140
 
5.9%
건 139
 
5.8%
사 74
 
3.1%
회 58
 
2.4%
식 58
 
2.4%
이 51
 
2.1%
업 47
 
2.0%
비 46
 
1.9%
산 42
 
1.8%
Other values (208) 1430
60.0%
Uppercase Letter
ValueCountFrequency (%)
G 5
26.3%
E 4
21.1%
N 4
21.1%
W 1
 
5.3%
M 1
 
5.3%
B 1
 
5.3%
K 1
 
5.3%
S 1
 
5.3%
D 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 4
66.7%
， 2
33.3%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
2 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 238
100.0%
Close Punctuation
ValueCountFrequency (%)
) 237
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2385
82.6%
Common 483
 
16.7%
Latin 19
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 299
 
12.5%
설 140
 
5.9%
건 139
 
5.8%
사 74
 
3.1%
회 58
 
2.4%
식 58
 
2.4%
이 51
 
2.1%
업 47
 
2.0%
비 46
 
1.9%
산 42
 
1.8%
Other values (209) 1431
60.0%
Latin
ValueCountFrequency (%)
G 5
26.3%
E 4
21.1%
N 4
21.1%
W 1
 
5.3%
M 1
 
5.3%
B 1
 
5.3%
K 1
 
5.3%
S 1
 
5.3%
D 1
 
5.3%
Common
ValueCountFrequency (%)
( 238
49.3%
) 237
49.1%
. 4
 
0.8%
， 2
 
0.4%
4 1
 
0.2%
2 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2384
82.6%
ASCII 500
 
17.3%
None 3
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 299
 
12.5%
설 140
 
5.9%
건 139
 
5.8%
사 74
 
3.1%
회 58
 
2.4%
식 58
 
2.4%
이 51
 
2.1%
업 47
 
2.0%
비 46
 
1.9%
산 42
 
1.8%
Other values (208) 1430
60.0%
ASCII
ValueCountFrequency (%)
( 238
47.6%
) 237
47.4%
G 5
 
1.0%
E 4
 
0.8%
N 4
 
0.8%
. 4
 
0.8%
W 1
 
0.2%
M 1
 
0.2%
B 1
 
0.2%
K 1
 
0.2%
Other values (4) 4
 
0.8%
None
ValueCountFrequency (%)
， 2
66.7%
㈜ 1
33.3%

업종
Categorical

Distinct29
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
가스ㆍ난방공사업
68 
기계설비ㆍ가스공사업
35 
실내건축공사업
34 
철근ㆍ콘크리트공사업
31 
지반조성ㆍ포장공사업
30 
Other values (24)
184 

Length

Max length18
Median length17
Mean length10.751309
Min length7

Unique

Unique8 ?
Unique (%)2.1%

Sample

1st row시설물유지관리업
2nd row기계설비ㆍ가스공사업
3rd row상ㆍ하수도설비공사업
4th row도장ㆍ습식ㆍ방수ㆍ석공사업
5th row상ㆍ하수도설비공사업

Common Values

ValueCountFrequency (%)
가스ㆍ난방공사업 68
17.8%
기계설비ㆍ가스공사업 35
9.2%
실내건축공사업 34
8.9%
철근ㆍ콘크리트공사업 31
8.1%
지반조성ㆍ포장공사업 30
7.9%
상ㆍ하수도설비공사업 27
 
7.1%
도장ㆍ습식ㆍ방수ㆍ석공사업 25
 
6.5%
금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업 24
 
6.3%
시설물유지관리업 19
 
5.0%
시설물유지관리업 18
 
4.7%
Other values (19) 71
18.6%

Length

2023-12-11T01:32:59.060467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
가스ㆍ난방공사업 74
19.4%
실내건축공사업 42
11.0%
기계설비ㆍ가스공사업 38
9.9%
시설물유지관리업 38
9.9%
지반조성ㆍ포장공사업 37
9.7%
철근ㆍ콘크리트공사업 32
8.4%
상ㆍ하수도설비공사업 30
7.9%
금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업 28
 
7.3%
도장ㆍ습식ㆍ방수ㆍ석공사업 27
 
7.1%
구조물해체ㆍ비계공사업 18
 
4.7%
Other values (4) 18
 
4.7%

소재지
Text

Distinct288
Distinct (%)75.4%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-11T01:32:59.479168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length44
Mean length33.151832
Min length23

Characters and Unicode

Total characters12664
Distinct characters186
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

Unique233 ?
Unique (%)61.0%

Sample

1st row부산광역시 부산진구 백양대로238번길 5, 2-1호 (개금동)
2nd row부산광역시 부산진구 새싹로210번길 6-16 (초읍동)
3rd row부산광역시 부산진구 개금본동로22번길 29 성도아파트 상가동 301호 (개금동, 성도아파트)
4th row부산광역시 부산진구 복지로 15 ，102동 303호 (개금동，개금동포르투나 )
5th row부산광역시 부산진구 개금본동로23번길 44, 1층 2호 (개금동)
ValueCountFrequency (%)
부산광역시 382
 
17.0%
부산진구 382
 
17.0%
양정동 52
 
2.3%
전포동 45
 
2.0%
개금동 35
 
1.6%
초읍동 32
 
1.4%
당감동 29
 
1.3%
가야동 26
 
1.2%
부전동 26
 
1.2%
1층 25
 
1.1%
Other values (531) 1215
54.0%
2023-12-11T01:33:00.107595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1867
 
14.7%
부 846
 
6.7%
산 772
 
6.1%
동 494
 
3.9%
1 442
 
3.5%
시 401
 
3.2%
진 394
 
3.1%
광 387
 
3.1%
) 387
 
3.1%
( 387
 
3.1%
Other values (176) 6287
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7643
60.4%
Decimal Number 2024
 
16.0%
Space Separator 1867
 
14.7%
Close Punctuation 387
 
3.1%
Open Punctuation 387
 
3.1%
Other Punctuation 297
 
2.3%
Dash Punctuation 53
 
0.4%
Uppercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 846
 
11.1%
산 772
 
10.1%
동 494
 
6.5%
시 401
 
5.2%
진 394
 
5.2%
광 387
 
5.1%
로 386
 
5.1%
역 384
 
5.0%
구 382
 
5.0%
번 210
 
2.7%
Other values (155) 2987
39.1%
Decimal Number
ValueCountFrequency (%)
1 442
21.8%
2 288
14.2%
4 198
9.8%
0 188
9.3%
3 180
8.9%
5 171
 
8.4%
6 155
 
7.7%
9 152
 
7.5%
7 139
 
6.9%
8 111
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
T 2
33.3%
O 2
33.3%
A 1
16.7%
B 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 244
82.2%
， 51
 
17.2%
/ 2
 
0.7%
Space Separator
ValueCountFrequency (%)
1867
100.0%
Close Punctuation
ValueCountFrequency (%)
) 387
100.0%
Open Punctuation
ValueCountFrequency (%)
( 387
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7643
60.4%
Common 5015
39.6%
Latin 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 846
 
11.1%
산 772
 
10.1%
동 494
 
6.5%
시 401
 
5.2%
진 394
 
5.2%
광 387
 
5.1%
로 386
 
5.1%
역 384
 
5.0%
구 382
 
5.0%
번 210
 
2.7%
Other values (155) 2987
39.1%
Common
ValueCountFrequency (%)
1867
37.2%
1 442
 
8.8%
) 387
 
7.7%
( 387
 
7.7%
2 288
 
5.7%
, 244
 
4.9%
4 198
 
3.9%
0 188
 
3.7%
3 180
 
3.6%
5 171
 
3.4%
Other values (7) 663
 
13.2%
Latin
ValueCountFrequency (%)
T 2
33.3%
O 2
33.3%
A 1
16.7%
B 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7643
60.4%
ASCII 4970
39.2%
None 51
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1867
37.6%
1 442
 
8.9%
) 387
 
7.8%
( 387
 
7.8%
2 288
 
5.8%
, 244
 
4.9%
4 198
 
4.0%
0 188
 
3.8%
3 180
 
3.6%
5 171
 
3.4%
Other values (10) 618
 
12.4%
Hangul
ValueCountFrequency (%)
부 846
 
11.1%
산 772
 
10.1%
동 494
 
6.5%
시 401
 
5.2%
진 394
 
5.2%
광 387
 
5.1%
로 386
 
5.1%
역 384
 
5.0%
구 382
 
5.0%
번 210
 
2.7%
Other values (155) 2987
39.1%
None
ValueCountFrequency (%)
， 51
100.0%

전화번호
Text

MISSING 

Distinct272
Distinct (%)74.1%
Missing15
Missing (%)3.9%
Memory size3.1 KiB
2023-12-11T01:33:00.554802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.016349
Min length11

Characters and Unicode

Total characters4410
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

Unique216 ?
Unique (%)58.9%

Sample

1st row051-634-0222
2nd row051-643-6119
3rd row051-896-3747
4th row051-868-9565
5th row051-898-3563
ValueCountFrequency (%)
051-807-6216 7
 
1.9%
051-867-5708 7
 
1.9%
051-644-5301 6
 
1.6%
051-852-7786 4
 
1.1%
051-809-3764 4
 
1.1%
051-802-0535 4
 
1.1%
051-802-3120 4
 
1.1%
051-816-1680 4
 
1.1%
051-714-5566 4
 
1.1%
051-898-3563 4
 
1.1%
Other values (262) 319
86.9%
2023-12-11T01:33:01.141428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 734
16.6%
0 702
15.9%
1 635
14.4%
5 575
13.0%
8 419
9.5%
6 277
 
6.3%
7 236
 
5.4%
2 229
 
5.2%
3 221
 
5.0%
9 207
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3676
83.4%
Dash Punctuation 734
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 702
19.1%
1 635
17.3%
5 575
15.6%
8 419
11.4%
6 277
 
7.5%
7 236
 
6.4%
2 229
 
6.2%
3 221
 
6.0%
9 207
 
5.6%
4 175
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 734
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4410
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 734
16.6%
0 702
15.9%
1 635
14.4%
5 575
13.0%
8 419
9.5%
6 277
 
6.3%
7 236
 
5.4%
2 229
 
5.2%
3 221
 
5.0%
9 207
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4410
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 734
16.6%
0 702
15.9%
1 635
14.4%
5 575
13.0%
8 419
9.5%
6 277
 
6.3%
7 236
 
5.4%
2 229
 
5.2%
3 221
 
5.0%
9 207
 
4.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum2023-06-08 00:00:00
Maximum2023-06-08 00:00:00
2023-12-11T01:33:01.344493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:33:01.489872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T01:32:56.645697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:33:01.611583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종
연번1.0000.394
업종0.3941.000
2023-12-11T01:33:01.770010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종
연번1.0000.146
업종0.1461.000

Missing values

2023-12-11T01:32:56.865091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:32:57.041623image/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

연번상호업종소재지전화번호데이터기준일자
01(유)제이피건설시설물유지관리업부산광역시 부산진구 백양대로238번길 5, 2-1호 (개금동)051-634-02222023-06-08
12(주)가가이엔지기계설비ㆍ가스공사업부산광역시 부산진구 새싹로210번길 6-16 (초읍동)051-643-61192023-06-08
23(주)가람토건상ㆍ하수도설비공사업부산광역시 부산진구 개금본동로22번길 29 성도아파트 상가동 301호 (개금동, 성도아파트)051-896-37472023-06-08
34(주)강산건설도장ㆍ습식ㆍ방수ㆍ석공사업부산광역시 부산진구 복지로 15 ，102동 303호 (개금동，개금동포르투나 )051-868-95652023-06-08
45(주)경방수도사상ㆍ하수도설비공사업부산광역시 부산진구 개금본동로23번길 44, 1층 2호 (개금동)051-898-35632023-06-08
56(주)경상비투비기계설비ㆍ가스공사업부산광역시 부산진구 중앙대로989번길 30-5， 1층(양정동)051-332-33772023-06-08
67(주)경원건축디자인실내건축공사업부산광역시 부산진구 백양순환로 65 (당감동)051-817-87272023-06-08
78(주)경화산업개발구조물해체ㆍ비계공사업부산광역시 부산진구 전포대로171번길 26, 636호(전포동, 더블루오피스텔)051-807-45092023-06-08
89(주)고려그린산업조경식재ㆍ시설물공사업부산광역시 부산진구 신암로 70 ，제상가비동 107호,108호 (범천동,서면항도타워맨션)051-817-33872023-06-08
910(주)국일안전금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업부산광역시 부산진구 당감로25번길 48 (당감동)051-896-66282023-06-08
연번상호업종소재지전화번호데이터기준일자
372373화성궤도(주)철도ㆍ궤도공사업부산광역시 부산진구 황령대로 13 612호(범천동, 한라시그마타워) (범천동)02-805-65212023-06-08
373374화성기업주식회사상ㆍ하수도설비공사업부산광역시 부산진구 동평로44번길 62-14 (당감동)051-894-40022023-06-08
374375화성기업주식회사지반조성ㆍ포장공사업부산광역시 부산진구 동평로44번길 62-14 (당감동)051-894-40022023-06-08
375376효성건설시설물유지관리업부산광역시 부산진구 복지로21번길 29 (개금동)051-644-53012023-06-08
376377효성건설상ㆍ하수도설비공사업부산광역시 부산진구 복지로21번길 29 (개금동)051-644-53012023-06-08
377378(주)한성씨앤디구조물해체ㆍ비계공사업부산광역시 부산진구 양지로 17, 1층 (양정동)051-781-30162023-06-08
378379(주)한성씨앤디지반조성ㆍ포장공사업부산광역시 부산진구 양지로 17, 1층 (양정동)051-781-30162023-06-08
379380주식회사시너지건설시설물유지관리업부산광역시 부산진구 백양관문로 104-1 ,상가동 5층 3호(1) (당감동)055-634-26212023-06-08
380381지세건설(주)기계설비ㆍ가스공사업부산광역시 부산진구 서면문화로 27, 지하 109호 (부전동, 유원골든타워오피스텔)051-902-96692023-06-08
381382하나플러스유통가스ㆍ난방공사업부산광역시 부산진구 진남로 319 (전포동)051-632-36512023-06-08