Overview

Dataset statistics

Number of variables6
Number of observations946
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory45.4 KiB
Average record size in memory49.1 B

Variable types

Numeric1
Text4
Categorical1

Dataset

Description2023.3.2.자 기준 인천광역시 소재 종합건설업체 등록현황입니다.(업체명, 대표자명. 소재지, 전화번호)
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15104029&srcSe=7661IVAWM27C61E190

Alerts

번호 has unique valuesUnique

Reproduction

Analysis started2024-03-18 05:14:27.770021
Analysis finished2024-03-18 05:14:28.750129
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct946
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean473.5
Minimum1
Maximum946
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.4 KiB
2024-03-18T14:14:28.815457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile48.25
Q1237.25
median473.5
Q3709.75
95-th percentile898.75
Maximum946
Range945
Interquartile range (IQR)472.5

Descriptive statistics

Standard deviation273.23098
Coefficient of variation (CV)0.57704536
Kurtosis-1.2
Mean473.5
Median Absolute Deviation (MAD)236.5
Skewness0
Sum447931
Variance74655.167
MonotonicityStrictly increasing
2024-03-18T14:14:28.943197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
637 1
 
0.1%
625 1
 
0.1%
626 1
 
0.1%
627 1
 
0.1%
628 1
 
0.1%
629 1
 
0.1%
630 1
 
0.1%
631 1
 
0.1%
632 1
 
0.1%
Other values (936) 936
98.9%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
946 1
0.1%
945 1
0.1%
944 1
0.1%
943 1
0.1%
942 1
0.1%
941 1
0.1%
940 1
0.1%
939 1
0.1%
938 1
0.1%
937 1
0.1%

업체명
Text

Distinct770
Distinct (%)81.4%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-03-18T14:14:29.163350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length8.4661734
Min length4

Characters and Unicode

Total characters8009
Distinct characters298
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique662 ?
Unique (%)70.0%

Sample

1st row(유)신성건설
2nd row(유)엘에이치종합건설
3rd row(주)가온종합건설산업
4th row(주)강동종합건설
5th row(주)강산건설산업
ValueCountFrequency (%)
디엘건설(주 6
 
0.6%
주)한양 6
 
0.6%
주)선두종합건설 5
 
0.5%
화주종합건설(주 4
 
0.4%
갑진종합건설(주 4
 
0.4%
주)바림종합건설 4
 
0.4%
주)싸이트 4
 
0.4%
브니엘네이처(주 4
 
0.4%
주)두손건설 4
 
0.4%
조광기업(주 4
 
0.4%
Other values (760) 901
95.2%
2024-03-18T14:14:29.486481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 963
 
12.0%
( 921
 
11.5%
) 921
 
11.5%
건 722
 
9.0%
설 683
 
8.5%
합 442
 
5.5%
종 440
 
5.5%
이 163
 
2.0%
업 76
 
0.9%
성 73
 
0.9%
Other values (288) 2605
32.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6167
77.0%
Open Punctuation 921
 
11.5%
Close Punctuation 921
 
11.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 963
 
15.6%
건 722
 
11.7%
설 683
 
11.1%
합 442
 
7.2%
종 440
 
7.1%
이 163
 
2.6%
업 76
 
1.2%
성 73
 
1.2%
산 67
 
1.1%
에 65
 
1.1%
Other values (286) 2473
40.1%
Open Punctuation
ValueCountFrequency (%)
( 921
100.0%
Close Punctuation
ValueCountFrequency (%)
) 921
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6167
77.0%
Common 1842
 
23.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 963
 
15.6%
건 722
 
11.7%
설 683
 
11.1%
합 442
 
7.2%
종 440
 
7.1%
이 163
 
2.6%
업 76
 
1.2%
성 73
 
1.2%
산 67
 
1.1%
에 65
 
1.1%
Other values (286) 2473
40.1%
Common
ValueCountFrequency (%)
( 921
50.0%
) 921
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6167
77.0%
ASCII 1842
 
23.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 963
 
15.6%
건 722
 
11.7%
설 683
 
11.1%
합 442
 
7.2%
종 440
 
7.1%
이 163
 
2.6%
업 76
 
1.2%
성 73
 
1.2%
산 67
 
1.1%
에 65
 
1.1%
Other values (286) 2473
40.1%
ASCII
ValueCountFrequency (%)
( 921
50.0%
) 921
50.0%

대표자
Text

Distinct758
Distinct (%)80.1%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-03-18T14:14:29.759085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length3
Mean length3.2769556
Min length2

Characters and Unicode

Total characters3100
Distinct characters194
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

Unique641 ?
Unique (%)67.8%

Sample

1st row박신영
2nd row이해성
3rd row장석민
4th row홍지영
5th row채종백
ValueCountFrequency (%)
곽수윤 6
 
0.6%
김형일 6
 
0.6%
박은상,박선원 5
 
0.5%
송영태 4
 
0.4%
박창완 4
 
0.4%
박규선 4
 
0.4%
이도명 4
 
0.4%
김동원 4
 
0.4%
김민수 4
 
0.4%
송동섭 4
 
0.4%
Other values (748) 901
95.2%
2024-03-18T14:14:30.189769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 187
 
6.0%
이 161
 
5.2%
박 99
 
3.2%
정 90
 
2.9%
영 89
 
2.9%
, 66
 
2.1%
수 63
 
2.0%
호 63
 
2.0%
상 62
 
2.0%
성 61
 
2.0%
Other values (184) 2159
69.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3034
97.9%
Other Punctuation 66
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 187
 
6.2%
이 161
 
5.3%
박 99
 
3.3%
정 90
 
3.0%
영 89
 
2.9%
수 63
 
2.1%
호 63
 
2.1%
상 62
 
2.0%
성 61
 
2.0%
종 48
 
1.6%
Other values (183) 2111
69.6%
Other Punctuation
ValueCountFrequency (%)
, 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3034
97.9%
Common 66
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 187
 
6.2%
이 161
 
5.3%
박 99
 
3.3%
정 90
 
3.0%
영 89
 
2.9%
수 63
 
2.1%
호 63
 
2.1%
상 62
 
2.0%
성 61
 
2.0%
종 48
 
1.6%
Other values (183) 2111
69.6%
Common
ValueCountFrequency (%)
, 66
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3034
97.9%
ASCII 66
 
2.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 187
 
6.2%
이 161
 
5.3%
박 99
 
3.3%
정 90
 
3.0%
영 89
 
2.9%
수 63
 
2.1%
호 63
 
2.1%
상 62
 
2.0%
성 61
 
2.0%
종 48
 
1.6%
Other values (183) 2111
69.6%
ASCII
ValueCountFrequency (%)
, 66
100.0%

업종
Categorical

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
건축공사업
622 
토목공사업
135 
토목건축공사업
92 
조경공사업
70 
산업ㆍ환경설비공사업
 
19

Length

Max length10
Median length5
Mean length5.3118393
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row토목공사업
2nd row토목공사업
3rd row건축공사업
4th row건축공사업
5th row건축공사업

Common Values

ValueCountFrequency (%)
건축공사업 622
65.8%
토목공사업 135
 
14.3%
토목건축공사업 92
 
9.7%
조경공사업 70
 
7.4%
산업ㆍ환경설비공사업 19
 
2.0%
산업설비공사업 8
 
0.8%

Length

2024-03-18T14:14:30.302729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:14:30.394873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건축공사업 622
65.8%
토목공사업 135
 
14.3%
토목건축공사업 92
 
9.7%
조경공사업 70
 
7.4%
산업ㆍ환경설비공사업 19
 
2.0%
산업설비공사업 8
 
0.8%

도로명주소
Text

Distinct768
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-03-18T14:14:30.647604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length46
Mean length35.221987
Min length17

Characters and Unicode

Total characters33320
Distinct characters379
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

Unique660 ?
Unique (%)69.8%

Sample

1st row인천광역시 동구 수문통로 39-1 202호 (송현동)
2nd row인천광역시 강화군 강화읍 갑룡길73번길 27, 101호
3rd row인천광역시 중구 운남로 191 , 101호 (운남동, 다인우리가3차)
4th row인천광역시 서구 열우물로240번길 29, 201호 (가좌동)
5th row인천광역시 남동구 은청로 16-7 , 403호 (고잔동, 삼일빌딩)
ValueCountFrequency (%)
인천광역시 944
 
14.4%
462
 
7.1%
남동구 261
 
4.0%
서구 181
 
2.8%
연수구 151
 
2.3%
부평구 89
 
1.4%
송도동 79
 
1.2%
미추홀구 79
 
1.2%
2층 75
 
1.1%
계양구 69
 
1.1%
Other values (1538) 4154
63.5%
2024-03-18T14:14:31.090001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5598
 
16.8%
동 1367
 
4.1%
, 1207
 
3.6%
1 1087
 
3.3%
인 1071
 
3.2%
천 1009
 
3.0%
구 990
 
3.0%
로 974
 
2.9%
시 972
 
2.9%
광 961
 
2.9%
Other values (369) 18084
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18865
56.6%
Decimal Number 5642
 
16.9%
Space Separator 5598
 
16.8%
Other Punctuation 1233
 
3.7%
Close Punctuation 891
 
2.7%
Open Punctuation 890
 
2.7%
Dash Punctuation 199
 
0.6%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1367
 
7.2%
인 1071
 
5.7%
천 1009
 
5.3%
구 990
 
5.2%
로 974
 
5.2%
시 972
 
5.2%
광 961
 
5.1%
역 952
 
5.0%
호 642
 
3.4%
길 361
 
1.9%
Other values (351) 9566
50.7%
Decimal Number
ValueCountFrequency (%)
1 1087
19.3%
0 846
15.0%
2 832
14.7%
3 703
12.5%
4 521
9.2%
5 433
 
7.7%
6 338
 
6.0%
7 334
 
5.9%
8 311
 
5.5%
9 237
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 1207
97.9%
， 26
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
E 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
5598
100.0%
Close Punctuation
ValueCountFrequency (%)
) 891
100.0%
Open Punctuation
ValueCountFrequency (%)
( 890
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 199
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18865
56.6%
Common 14453
43.4%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1367
 
7.2%
인 1071
 
5.7%
천 1009
 
5.3%
구 990
 
5.2%
로 974
 
5.2%
시 972
 
5.2%
광 961
 
5.1%
역 952
 
5.0%
호 642
 
3.4%
길 361
 
1.9%
Other values (351) 9566
50.7%
Common
ValueCountFrequency (%)
5598
38.7%
, 1207
 
8.4%
1 1087
 
7.5%
) 891
 
6.2%
( 890
 
6.2%
0 846
 
5.9%
2 832
 
5.8%
3 703
 
4.9%
4 521
 
3.6%
5 433
 
3.0%
Other values (6) 1445
 
10.0%
Latin
ValueCountFrequency (%)
E 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18865
56.6%
ASCII 14429
43.3%
None 26
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5598
38.8%
, 1207
 
8.4%
1 1087
 
7.5%
) 891
 
6.2%
( 890
 
6.2%
0 846
 
5.9%
2 832
 
5.8%
3 703
 
4.9%
4 521
 
3.6%
5 433
 
3.0%
Other values (7) 1421
 
9.8%
Hangul
ValueCountFrequency (%)
동 1367
 
7.2%
인 1071
 
5.7%
천 1009
 
5.3%
구 990
 
5.2%
로 974
 
5.2%
시 972
 
5.2%
광 961
 
5.1%
역 952
 
5.0%
호 642
 
3.4%
길 361
 
1.9%
Other values (351) 9566
50.7%
None
ValueCountFrequency (%)
， 26
100.0%

전화번호
Text

Distinct756
Distinct (%)79.9%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-03-18T14:14:31.308747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.024313
Min length11

Characters and Unicode

Total characters11375
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

Unique639 ?
Unique (%)67.5%

Sample

1st row063-851-0325
2nd row032-934-4852
3rd row032-252-5050
4th row032-221-2038
5th row032-872-9547
ValueCountFrequency (%)
02-721-8797 6
 
0.6%
032-518-3535 6
 
0.6%
032-472-0511 5
 
0.5%
032-472-2271 4
 
0.4%
032-811-6406 4
 
0.4%
032-832-1377 4
 
0.4%
032-819-5581 4
 
0.4%
032-529-3061 4
 
0.4%
032-328-0401 4
 
0.4%
032-463-8111 4
 
0.4%
Other values (746) 901
95.2%
2024-03-18T14:14:31.642284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1892
16.6%
0 1668
14.7%
2 1582
13.9%
3 1489
13.1%
5 803
7.1%
8 761
6.7%
4 754
 
6.6%
6 699
 
6.1%
1 689
 
6.1%
7 643
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9483
83.4%
Dash Punctuation 1892
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1668
17.6%
2 1582
16.7%
3 1489
15.7%
5 803
8.5%
8 761
8.0%
4 754
8.0%
6 699
7.4%
1 689
7.3%
7 643
 
6.8%
9 395
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 1892
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11375
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1892
16.6%
0 1668
14.7%
2 1582
13.9%
3 1489
13.1%
5 803
7.1%
8 761
6.7%
4 754
 
6.6%
6 699
 
6.1%
1 689
 
6.1%
7 643
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11375
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1892
16.6%
0 1668
14.7%
2 1582
13.9%
3 1489
13.1%
5 803
7.1%
8 761
6.7%
4 754
 
6.6%
6 699
 
6.1%
1 689
 
6.1%
7 643
 
5.7%

Interactions

2024-03-18T14:14:28.492456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T14:14:31.996282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호업종
번호1.0000.036
업종0.0361.000
2024-03-18T14:14:32.073021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호업종
번호1.0000.019
업종0.0191.000

Missing values

2024-03-18T14:14:28.592281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T14:14:28.707622image/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

번호업체명대표자업종도로명주소전화번호
01(유)신성건설박신영토목공사업인천광역시 동구 수문통로 39-1 202호 (송현동)063-851-0325
12(유)엘에이치종합건설이해성토목공사업인천광역시 강화군 강화읍 갑룡길73번길 27, 101호032-934-4852
23(주)가온종합건설산업장석민건축공사업인천광역시 중구 운남로 191 , 101호 (운남동, 다인우리가3차)032-252-5050
34(주)강동종합건설홍지영건축공사업인천광역시 서구 열우물로240번길 29, 201호 (가좌동)032-221-2038
45(주)강산건설산업채종백건축공사업인천광역시 남동구 은청로 16-7 , 403호 (고잔동, 삼일빌딩)032-872-9547
56(주)강인종합건설고종호건축공사업인천광역시 미추홀구 인주대로 264 , 2층 (용현동)032-876-2400
67(주)거한건설안성호건축공사업인천광역시 중구 서해대로454번길 15 , 101호 (선화동, 현대빌딩)032-885-2211
78(주)계향종합건설송명철건축공사업인천광역시 계양구 계산로 136, 청호빌딩 301호 (계산동)032-555-0081
89(주)고진티앤시강석목토목건축공사업인천광역시 강화군 강화읍 강화대로 210 , 2층 2호032-934-5554
910(주)골드종합건설구형회건축공사업인천광역시 남동구 호구포로 189 , 1001호 (고잔동, 남동테크노타워)032-710-7652
번호업체명대표자업종도로명주소전화번호
936937홍진건설(주)목정석건축공사업인천광역시 서구 승학로271번길 17，3층(심곡동)032-566-5451
937938화백종합건설(주)이재홍토목공사업인천광역시 강화군 강화읍 부조고개길 92-2032-934-0083
938939화승종합건설(주)차예자건축공사업인천광역시 서구 완정로 144 , 6층 601-2호 (마전동, 프라임타워)032-561-9939
939940화주종합건설(주)안상필토목건축공사업인천광역시 서구 청라에메랄드로102번길 8-18 ,제지1층제비01호 (청라동, 청라캐널큐브)032-562-0879
940941화주종합건설(주)안상필건축공사업인천광역시 서구 청라에메랄드로102번길 8-18 ,제지1층제비01호 (청라동, 청라캐널큐브)032-562-0879
941942화주종합건설(주)안상필토목공사업인천광역시 서구 청라에메랄드로102번길 8-18 ,제지1층제비01호 (청라동, 청라캐널큐브)032-562-0879
942943화주종합건설(주)안상필조경공사업인천광역시 서구 청라에메랄드로102번길 8-18 ,제지1층제비01호 (청라동, 청라캐널큐브)032-562-0879
943944화평토건(주)송명근건축공사업인천광역시 부평구 장제로 45 , 3동 622호 (부평동, 현대더로프트)070-7730-4600
944945효림건설(주)김태균건축공사업인천광역시 연수구 인천타워대로 323 ,비동 1403호 (송도동, 송도센트로드)032-891-1300
945946효성조경개발(주)박수경조경공사업인천광역시 남동구 예술로284번길 30(간석동,대양빌딩2층)032-429-2995