Overview

Dataset statistics

Number of variables6
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory55.0 B

Variable types

Numeric1
Text4
Categorical1

Dataset

Description인천광역시 남동구 토목건축공사업 업체현황에 대한 데이터로 연번, 상호, 대표자, 주소, 전화번호, 데이터기준일자 항목을 제공합니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15090997&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
상호 has unique valuesUnique
대표자 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-01-28 07:44:15.555667
Analysis finished2024-01-28 07:44:15.992289
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.5
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-28T16:44:16.037685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q16.25
median11.5
Q316.75
95-th percentile20.95
Maximum22
Range21
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.4935866
Coefficient of variation (CV)0.5646597
Kurtosis-1.2
Mean11.5
Median Absolute Deviation (MAD)5.5
Skewness0
Sum253
Variance42.166667
MonotonicityStrictly increasing
2024-01-28T16:44:16.129251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 1
 
4.5%
13 1
 
4.5%
22 1
 
4.5%
21 1
 
4.5%
20 1
 
4.5%
19 1
 
4.5%
18 1
 
4.5%
17 1
 
4.5%
16 1
 
4.5%
15 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1 1
4.5%
2 1
4.5%
3 1
4.5%
4 1
4.5%
5 1
4.5%
6 1
4.5%
7 1
4.5%
8 1
4.5%
9 1
4.5%
10 1
4.5%
ValueCountFrequency (%)
22 1
4.5%
21 1
4.5%
20 1
4.5%
19 1
4.5%
18 1
4.5%
17 1
4.5%
16 1
4.5%
15 1
4.5%
14 1
4.5%
13 1
4.5%

상호
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-01-28T16:44:16.296283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length7.8181818
Min length5

Characters and Unicode

Total characters172
Distinct characters42
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

Unique22 ?
Unique (%)100.0%

Sample

1st row(주)국원건설
2nd row(주)국일공영
3rd row(주)대들보
4th row(주)디에이건설
5th row(주)선두종합건설
ValueCountFrequency (%)
주)국원건설 1
 
4.5%
주)국일공영 1
 
4.5%
케이와이종합건설(주 1
 
4.5%
일성건설(주 1
 
4.5%
원광건설(주 1
 
4.5%
성강종합건설(주 1
 
4.5%
삼신종합건설(주 1
 
4.5%
삼마종합건설(주 1
 
4.5%
무유종합건설(주 1
 
4.5%
디엘건설(주 1
 
4.5%
Other values (12) 12
54.5%
2024-01-28T16:44:16.569206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 22
12.8%
) 22
12.8%
주 22
12.8%
설 19
11.0%
건 19
11.0%
종 9
 
5.2%
합 9
 
5.2%
일 3
 
1.7%
성 3
 
1.7%
이 3
 
1.7%
Other values (32) 41
23.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 128
74.4%
Open Punctuation 22
 
12.8%
Close Punctuation 22
 
12.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 22
17.2%
설 19
14.8%
건 19
14.8%
종 9
 
7.0%
합 9
 
7.0%
일 3
 
2.3%
성 3
 
2.3%
이 3
 
2.3%
유 3
 
2.3%
경 2
 
1.6%
Other values (30) 36
28.1%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 128
74.4%
Common 44
 
25.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 22
17.2%
설 19
14.8%
건 19
14.8%
종 9
 
7.0%
합 9
 
7.0%
일 3
 
2.3%
성 3
 
2.3%
이 3
 
2.3%
유 3
 
2.3%
경 2
 
1.6%
Other values (30) 36
28.1%
Common
ValueCountFrequency (%)
( 22
50.0%
) 22
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 128
74.4%
ASCII 44
 
25.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 22
50.0%
) 22
50.0%
Hangul
ValueCountFrequency (%)
주 22
17.2%
설 19
14.8%
건 19
14.8%
종 9
 
7.0%
합 9
 
7.0%
일 3
 
2.3%
성 3
 
2.3%
이 3
 
2.3%
유 3
 
2.3%
경 2
 
1.6%
Other values (30) 36
28.1%

대표자
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-01-28T16:44:16.731370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters66
Distinct characters48
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row전영진
2nd row이무년
3rd row송영태
4th row김용주
5th row박은상
ValueCountFrequency (%)
전영진 1
 
4.5%
이무년 1
 
4.5%
윤용운 1
 
4.5%
유필상 1
 
4.5%
최병환 1
 
4.5%
김진구 1
 
4.5%
오원복 1
 
4.5%
윤해중 1
 
4.5%
이상인 1
 
4.5%
조남창 1
 
4.5%
Other values (12) 12
54.5%
2024-01-28T16:44:16.984777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 4
 
6.1%
박 4
 
6.1%
김 3
 
4.5%
용 3
 
4.5%
상 3
 
4.5%
윤 3
 
4.5%
정 2
 
3.0%
영 2
 
3.0%
창 2
 
3.0%
진 2
 
3.0%
Other values (38) 38
57.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 4
 
6.1%
박 4
 
6.1%
김 3
 
4.5%
용 3
 
4.5%
상 3
 
4.5%
윤 3
 
4.5%
정 2
 
3.0%
영 2
 
3.0%
창 2
 
3.0%
진 2
 
3.0%
Other values (38) 38
57.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 4
 
6.1%
박 4
 
6.1%
김 3
 
4.5%
용 3
 
4.5%
상 3
 
4.5%
윤 3
 
4.5%
정 2
 
3.0%
영 2
 
3.0%
창 2
 
3.0%
진 2
 
3.0%
Other values (38) 38
57.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 4
 
6.1%
박 4
 
6.1%
김 3
 
4.5%
용 3
 
4.5%
상 3
 
4.5%
윤 3
 
4.5%
정 2
 
3.0%
영 2
 
3.0%
창 2
 
3.0%
진 2
 
3.0%
Other values (38) 38
57.6%

주소
Text

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-01-28T16:44:17.170968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length30.5
Mean length27.818182
Min length19

Characters and Unicode

Total characters612
Distinct characters77
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

Unique20 ?
Unique (%)90.9%

Sample

1st row인천광역시 남동구 구월동 1142 비전타워 12층
2nd row인천광역시 남동구 만수동 968-7 ,청송빌딩 301호
3rd row인천광역시 남동구 논현동 631-5 이지플라자 7층 705호
4th row인천광역시 남동구 논현동 671-1 ， 디에이프라자 604호
5th row인천광역시 남동구 만수동 1011 ,미선빌딩 401호
ValueCountFrequency (%)
인천광역시 22
18.0%
남동구 22
18.0%
구월동 7
 
5.7%
논현동 7
 
5.7%
만수동 4
 
3.3%
， 3
 
2.5%
301호 3
 
2.5%
7층 3
 
2.5%
1143-6 3
 
2.5%
유승테라폴리스 2
 
1.6%
Other values (45) 46
37.7%
2024-01-28T16:44:17.453623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
100
 
16.3%
동 44
 
7.2%
1 36
 
5.9%
구 29
 
4.7%
광 24
 
3.9%
남 23
 
3.8%
천 22
 
3.6%
인 22
 
3.6%
시 22
 
3.6%
역 22
 
3.6%
Other values (67) 268
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 342
55.9%
Decimal Number 137
22.4%
Space Separator 100
 
16.3%
Dash Punctuation 18
 
2.9%
Other Punctuation 15
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 44
 
12.9%
구 29
 
8.5%
광 24
 
7.0%
남 23
 
6.7%
천 22
 
6.4%
인 22
 
6.4%
시 22
 
6.4%
역 22
 
6.4%
호 10
 
2.9%
층 8
 
2.3%
Other values (53) 116
33.9%
Decimal Number
ValueCountFrequency (%)
1 36
26.3%
4 17
12.4%
6 16
11.7%
0 15
10.9%
2 14
 
10.2%
3 12
 
8.8%
7 12
 
8.8%
5 7
 
5.1%
9 4
 
2.9%
8 4
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 10
66.7%
， 5
33.3%
Space Separator
ValueCountFrequency (%)
100
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 342
55.9%
Common 270
44.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 44
 
12.9%
구 29
 
8.5%
광 24
 
7.0%
남 23
 
6.7%
천 22
 
6.4%
인 22
 
6.4%
시 22
 
6.4%
역 22
 
6.4%
호 10
 
2.9%
층 8
 
2.3%
Other values (53) 116
33.9%
Common
ValueCountFrequency (%)
100
37.0%
1 36
 
13.3%
- 18
 
6.7%
4 17
 
6.3%
6 16
 
5.9%
0 15
 
5.6%
2 14
 
5.2%
3 12
 
4.4%
7 12
 
4.4%
, 10
 
3.7%
Other values (4) 20
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 342
55.9%
ASCII 265
43.3%
None 5
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
100
37.7%
1 36
 
13.6%
- 18
 
6.8%
4 17
 
6.4%
6 16
 
6.0%
0 15
 
5.7%
2 14
 
5.3%
3 12
 
4.5%
7 12
 
4.5%
, 10
 
3.8%
Other values (3) 15
 
5.7%
Hangul
ValueCountFrequency (%)
동 44
 
12.9%
구 29
 
8.5%
광 24
 
7.0%
남 23
 
6.7%
천 22
 
6.4%
인 22
 
6.4%
시 22
 
6.4%
역 22
 
6.4%
호 10
 
2.9%
층 8
 
2.3%
Other values (53) 116
33.9%
None
ValueCountFrequency (%)
， 5
100.0%

전화번호
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-01-28T16:44:17.624279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.954545
Min length11

Characters and Unicode

Total characters263
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

Unique22 ?
Unique (%)100.0%

Sample

1st row032-431-6488
2nd row032-468-6507
3rd row032-811-6406
4th row032-872-0472
5th row032-472-0511
ValueCountFrequency (%)
032-431-6488 1
 
4.5%
032-468-6507 1
 
4.5%
032-668-8605 1
 
4.5%
032-425-3495 1
 
4.5%
032-463-8101 1
 
4.5%
032-817-4966 1
 
4.5%
032-888-5051 1
 
4.5%
032-832-8814 1
 
4.5%
032-556-2050 1
 
4.5%
032-518-3535 1
 
4.5%
Other values (12) 12
54.5%
2024-01-28T16:44:17.905962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 44
16.7%
2 37
14.1%
0 36
13.7%
3 34
12.9%
8 25
9.5%
6 20
7.6%
1 19
7.2%
4 17
 
6.5%
5 17
 
6.5%
7 10
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 219
83.3%
Dash Punctuation 44
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 37
16.9%
0 36
16.4%
3 34
15.5%
8 25
11.4%
6 20
9.1%
1 19
8.7%
4 17
7.8%
5 17
7.8%
7 10
 
4.6%
9 4
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 263
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 44
16.7%
2 37
14.1%
0 36
13.7%
3 34
12.9%
8 25
9.5%
6 20
7.6%
1 19
7.2%
4 17
 
6.5%
5 17
 
6.5%
7 10
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 263
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 44
16.7%
2 37
14.1%
0 36
13.7%
3 34
12.9%
8 25
9.5%
6 20
7.6%
1 19
7.2%
4 17
 
6.5%
5 17
 
6.5%
7 10
 
3.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-09-04
22 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-04
2nd row2023-09-04
3rd row2023-09-04
4th row2023-09-04
5th row2023-09-04

Common Values

ValueCountFrequency (%)
2023-09-04 22
100.0%

Length

2024-01-28T16:44:18.020114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T16:44:18.115373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-04 22
100.0%

Interactions

2024-01-28T16:44:15.797600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T16:44:18.176213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호대표자주소전화번호
연번1.0001.0001.0000.9021.000
상호1.0001.0001.0001.0001.000
대표자1.0001.0001.0001.0001.000
주소0.9021.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000

Missing values

2024-01-28T16:44:15.878833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T16:44:15.959220image/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

연번상호대표자주소전화번호데이터기준일자
01(주)국원건설전영진인천광역시 남동구 구월동 1142 비전타워 12층032-431-64882023-09-04
12(주)국일공영이무년인천광역시 남동구 만수동 968-7 ,청송빌딩 301호032-468-65072023-09-04
23(주)대들보송영태인천광역시 남동구 논현동 631-5 이지플라자 7층 705호032-811-64062023-09-04
34(주)디에이건설김용주인천광역시 남동구 논현동 671-1 ， 디에이프라자 604호032-872-04722023-09-04
45(주)선두종합건설박은상인천광역시 남동구 만수동 1011 ,미선빌딩 401호032-472-05112023-09-04
56(주)성도건설박홍준인천광역시 남동구 구월동 1120-16032-866-16532023-09-04
67(주)유승건설박정배인천광역시 남동구 논현동 642-1 ,유승테라폴리스 7층032-717-13422023-09-04
78(주)유승종합건설민광옥인천광역시 남동구 논현동 642-1 7층 유승테라폴리스032-524-88222023-09-04
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