Overview

Dataset statistics

Number of variables6
Number of observations45
Missing cells1
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory51.8 B

Variable types

Numeric1
Text4
Categorical1

Dataset

Description부산광역시 강서구 내 실내건축공사업 현황입니다. (번호, 업체명, 대표자, 업종, 도로명주소, 전화번호 제공)
Author부산광역시 강서구
URLhttps://www.data.go.kr/data/15126497/fileData.do

Alerts

업종 has constant value ""Constant
전화번호 has 1 (2.2%) missing valuesMissing
번호 has unique valuesUnique
업체명 has unique valuesUnique
대표자 has unique valuesUnique

Reproduction

Analysis started2024-03-14 19:58:23.121629
Analysis finished2024-03-14 19:58:24.769012
Duration1.65 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23
Minimum1
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size533.0 B
2024-03-15T04:58:25.005584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.2
Q112
median23
Q334
95-th percentile42.8
Maximum45
Range44
Interquartile range (IQR)22

Descriptive statistics

Standard deviation13.133926
Coefficient of variation (CV)0.57104024
Kurtosis-1.2
Mean23
Median Absolute Deviation (MAD)11
Skewness0
Sum1035
Variance172.5
MonotonicityStrictly increasing
2024-03-15T04:58:25.468464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
1 1
 
2.2%
35 1
 
2.2%
26 1
 
2.2%
27 1
 
2.2%
28 1
 
2.2%
29 1
 
2.2%
30 1
 
2.2%
31 1
 
2.2%
32 1
 
2.2%
33 1
 
2.2%
Other values (35) 35
77.8%
ValueCountFrequency (%)
1 1
2.2%
2 1
2.2%
3 1
2.2%
4 1
2.2%
5 1
2.2%
6 1
2.2%
7 1
2.2%
8 1
2.2%
9 1
2.2%
10 1
2.2%
ValueCountFrequency (%)
45 1
2.2%
44 1
2.2%
43 1
2.2%
42 1
2.2%
41 1
2.2%
40 1
2.2%
39 1
2.2%
38 1
2.2%
37 1
2.2%
36 1
2.2%

업체명
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size488.0 B
2024-03-15T04:58:26.477463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length7.1333333
Min length4

Characters and Unicode

Total characters321
Distinct characters109
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)100.0%

Sample

1st row(주)거도산업
2nd row(주)공간의가치
3rd row(주)그린아이디
4th row(주)금호창호
5th row(주)범우컴퍼니
ValueCountFrequency (%)
주)거도산업 1
 
2.2%
레메코씨엔이㈜ 1
 
2.2%
씨·티(c·t 1
 
2.2%
엘코미(주 1
 
2.2%
엠엠케이(주 1
 
2.2%
정도건설 1
 
2.2%
주식회사그루디자인 1
 
2.2%
주식회사다온디자인건축 1
 
2.2%
주식회사두손 1
 
2.2%
주식회사바르비종 1
 
2.2%
Other values (35) 35
77.8%
2024-03-15T04:58:28.228478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39
 
12.1%
( 28
 
8.7%
) 28
 
8.7%
12
 
3.7%
12
 
3.7%
12
 
3.7%
10
 
3.1%
9
 
2.8%
8
 
2.5%
6
 
1.9%
Other values (99) 157
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 259
80.7%
Open Punctuation 28
 
8.7%
Close Punctuation 28
 
8.7%
Other Symbol 2
 
0.6%
Other Punctuation 2
 
0.6%
Uppercase Letter 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
39
 
15.1%
12
 
4.6%
12
 
4.6%
12
 
4.6%
10
 
3.9%
9
 
3.5%
8
 
3.1%
6
 
2.3%
6
 
2.3%
5
 
1.9%
Other values (93) 140
54.1%
Uppercase Letter
ValueCountFrequency (%)
T 1
50.0%
C 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
· 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 261
81.3%
Common 58
 
18.1%
Latin 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
39
 
14.9%
12
 
4.6%
12
 
4.6%
12
 
4.6%
10
 
3.8%
9
 
3.4%
8
 
3.1%
6
 
2.3%
6
 
2.3%
5
 
1.9%
Other values (94) 142
54.4%
Common
ValueCountFrequency (%)
( 28
48.3%
) 28
48.3%
· 2
 
3.4%
Latin
ValueCountFrequency (%)
T 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 259
80.7%
ASCII 58
 
18.1%
None 4
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
39
 
15.1%
12
 
4.6%
12
 
4.6%
12
 
4.6%
10
 
3.9%
9
 
3.5%
8
 
3.1%
6
 
2.3%
6
 
2.3%
5
 
1.9%
Other values (93) 140
54.1%
ASCII
ValueCountFrequency (%)
( 28
48.3%
) 28
48.3%
T 1
 
1.7%
C 1
 
1.7%
None
ValueCountFrequency (%)
2
50.0%
· 2
50.0%

대표자
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size488.0 B
2024-03-15T04:58:29.180760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.3555556
Min length3

Characters and Unicode

Total characters151
Distinct characters73
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

Unique45 ?
Unique (%)100.0%

Sample

1st row김도윤
2nd row김종건
3rd row전삼록
4th row윤석균
5th row이혜진
ValueCountFrequency (%)
김도윤 1
 
2.2%
박순천 1
 
2.2%
진석우 1
 
2.2%
윤예솜 1
 
2.2%
이순덕 1
 
2.2%
이영숙 1
 
2.2%
김현주,박태현 1
 
2.2%
한정구 1
 
2.2%
정성근 1
 
2.2%
허샘나,정지훈 1
 
2.2%
Other values (35) 35
77.8%
2024-03-15T04:58:30.286991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13
 
8.6%
11
 
7.3%
7
 
4.6%
5
 
3.3%
5
 
3.3%
, 4
 
2.6%
4
 
2.6%
4
 
2.6%
3
 
2.0%
3
 
2.0%
Other values (63) 92
60.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 147
97.4%
Other Punctuation 4
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
13
 
8.8%
11
 
7.5%
7
 
4.8%
5
 
3.4%
5
 
3.4%
4
 
2.7%
4
 
2.7%
3
 
2.0%
3
 
2.0%
3
 
2.0%
Other values (62) 89
60.5%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 147
97.4%
Common 4
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
13
 
8.8%
11
 
7.5%
7
 
4.8%
5
 
3.4%
5
 
3.4%
4
 
2.7%
4
 
2.7%
3
 
2.0%
3
 
2.0%
3
 
2.0%
Other values (62) 89
60.5%
Common
ValueCountFrequency (%)
, 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 147
97.4%
ASCII 4
 
2.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
13
 
8.8%
11
 
7.5%
7
 
4.8%
5
 
3.4%
5
 
3.4%
4
 
2.7%
4
 
2.7%
3
 
2.0%
3
 
2.0%
3
 
2.0%
Other values (62) 89
60.5%
ASCII
ValueCountFrequency (%)
, 4
100.0%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size488.0 B
실내건축공사업
45 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row실내건축공사업
2nd row실내건축공사업
3rd row실내건축공사업
4th row실내건축공사업
5th row실내건축공사업

Common Values

ValueCountFrequency (%)
실내건축공사업 45
100.0%

Length

2024-03-15T04:58:30.685595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:58:30.995492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실내건축공사업 45
100.0%
Distinct43
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size488.0 B
2024-03-15T04:58:31.962739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length36
Mean length30.933333
Min length23

Characters and Unicode

Total characters1392
Distinct characters85
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)91.1%

Sample

1st row부산광역시 강서구 신호산단1로 215, 705호(신호동, 새미래오피스빌딩)
2nd row부산광역시 강서구 유통단지1로 50 216동 206호 (대저2동)
3rd row부산광역시 강서구 명지국제3로 97 ,105동2012호 명지국제신도시삼정그린코아더베스트 (명지동)
4th row부산광역시 강서구 울만로25번길 103-9 (대저2동)
5th row부산광역시 강서구 낙동남로605번길 24-17 2층 (녹산동)
ValueCountFrequency (%)
부산광역시 45
18.0%
강서구 45
18.0%
대저1동 16
 
6.4%
대저2동 8
 
3.2%
송정동 7
 
2.8%
명지동 5
 
2.0%
유통단지1로 4
 
1.6%
50 4
 
1.6%
1층 3
 
1.2%
낙동북로188번길 3
 
1.2%
Other values (96) 110
44.0%
2024-03-15T04:58:33.253450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
205
 
14.7%
1 70
 
5.0%
63
 
4.5%
59
 
4.2%
2 52
 
3.7%
48
 
3.4%
47
 
3.4%
46
 
3.3%
45
 
3.2%
) 45
 
3.2%
Other values (75) 712
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 796
57.2%
Decimal Number 280
 
20.1%
Space Separator 205
 
14.7%
Close Punctuation 45
 
3.2%
Open Punctuation 45
 
3.2%
Dash Punctuation 12
 
0.9%
Other Punctuation 9
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
63
 
7.9%
59
 
7.4%
48
 
6.0%
47
 
5.9%
46
 
5.8%
45
 
5.7%
45
 
5.7%
45
 
5.7%
45
 
5.7%
43
 
5.4%
Other values (59) 310
38.9%
Decimal Number
ValueCountFrequency (%)
1 70
25.0%
2 52
18.6%
3 29
10.4%
0 25
 
8.9%
5 25
 
8.9%
8 21
 
7.5%
6 18
 
6.4%
9 15
 
5.4%
7 15
 
5.4%
4 10
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 8
88.9%
. 1
 
11.1%
Space Separator
ValueCountFrequency (%)
205
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 796
57.2%
Common 596
42.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
63
 
7.9%
59
 
7.4%
48
 
6.0%
47
 
5.9%
46
 
5.8%
45
 
5.7%
45
 
5.7%
45
 
5.7%
45
 
5.7%
43
 
5.4%
Other values (59) 310
38.9%
Common
ValueCountFrequency (%)
205
34.4%
1 70
 
11.7%
2 52
 
8.7%
) 45
 
7.6%
( 45
 
7.6%
3 29
 
4.9%
0 25
 
4.2%
5 25
 
4.2%
8 21
 
3.5%
6 18
 
3.0%
Other values (6) 61
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 796
57.2%
ASCII 596
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
205
34.4%
1 70
 
11.7%
2 52
 
8.7%
) 45
 
7.6%
( 45
 
7.6%
3 29
 
4.9%
0 25
 
4.2%
5 25
 
4.2%
8 21
 
3.5%
6 18
 
3.0%
Other values (6) 61
 
10.2%
Hangul
ValueCountFrequency (%)
63
 
7.9%
59
 
7.4%
48
 
6.0%
47
 
5.9%
46
 
5.8%
45
 
5.7%
45
 
5.7%
45
 
5.7%
45
 
5.7%
43
 
5.4%
Other values (59) 310
38.9%

전화번호
Text

MISSING 

Distinct44
Distinct (%)100.0%
Missing1
Missing (%)2.2%
Memory size488.0 B
2024-03-15T04:58:34.181032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.022727
Min length12

Characters and Unicode

Total characters529
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

Unique44 ?
Unique (%)100.0%

Sample

1st row051-941-6145
2nd row051-923-4849
3rd row051-294-2417
4th row051-506-4915
5th row051-949-8831
ValueCountFrequency (%)
051-941-6145 1
 
2.3%
051-923-4849 1
 
2.3%
051-971-9091 1
 
2.3%
051-831-0243 1
 
2.3%
051-256-5161 1
 
2.3%
051-527-4972 1
 
2.3%
051-202-5575 1
 
2.3%
051-971-1015 1
 
2.3%
051-973-6215 1
 
2.3%
051-925-8478 1
 
2.3%
Other values (34) 34
77.3%
2024-03-15T04:58:35.244028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 88
16.6%
0 84
15.9%
1 81
15.3%
5 72
13.6%
9 39
7.4%
2 35
 
6.6%
7 35
 
6.6%
8 28
 
5.3%
3 25
 
4.7%
6 22
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 441
83.4%
Dash Punctuation 88
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 84
19.0%
1 81
18.4%
5 72
16.3%
9 39
8.8%
2 35
7.9%
7 35
7.9%
8 28
 
6.3%
3 25
 
5.7%
6 22
 
5.0%
4 20
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 529
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 88
16.6%
0 84
15.9%
1 81
15.3%
5 72
13.6%
9 39
7.4%
2 35
 
6.6%
7 35
 
6.6%
8 28
 
5.3%
3 25
 
4.7%
6 22
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 529
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 88
16.6%
0 84
15.9%
1 81
15.3%
5 72
13.6%
9 39
7.4%
2 35
 
6.6%
7 35
 
6.6%
8 28
 
5.3%
3 25
 
4.7%
6 22
 
4.2%

Interactions

2024-03-15T04:58:23.520094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T04:58:35.403393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호업체명대표자도로명주소전화번호
번호1.0001.0001.0000.8761.000
업체명1.0001.0001.0001.0001.000
대표자1.0001.0001.0001.0001.000
도로명주소0.8761.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000

Missing values

2024-03-15T04:58:24.068714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T04:58:24.584389image/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(주)거도산업김도윤실내건축공사업부산광역시 강서구 신호산단1로 215, 705호(신호동, 새미래오피스빌딩)051-941-6145
12(주)공간의가치김종건실내건축공사업부산광역시 강서구 유통단지1로 50 216동 206호 (대저2동)051-923-4849
23(주)그린아이디전삼록실내건축공사업부산광역시 강서구 명지국제3로 97 ,105동2012호 명지국제신도시삼정그린코아더베스트 (명지동)051-294-2417
34(주)금호창호윤석균실내건축공사업부산광역시 강서구 울만로25번길 103-9 (대저2동)051-506-4915
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