Overview

Dataset statistics

Number of variables4
Number of observations129
Missing cells8
Missing cells (%)1.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.2 KiB
Average record size in memory33.0 B

Variable types

Text4

Dataset

Description전라남도 내 일반측량업체의 업종, 업체명, 사무소주소, 대표자 등에 관한 데이터를 조회할 수 있는 공공데이터입니다.
Author전라남도
URLhttps://www.data.go.kr/data/15050657/fileData.do

Alerts

사무소전화번호 has 8 (6.2%) missing valuesMissing
업체명 has unique valuesUnique
사무소주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:28:58.192564
Analysis finished2023-12-12 06:28:58.691975
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

UNIQUE 

Distinct129
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T15:28:58.877036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length8.9612403
Min length4

Characters and Unicode

Total characters1156
Distinct characters141
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

Unique129 ?
Unique (%)100.0%

Sample

1st row주식회사 테바에스아이
2nd row천지토목측량설계사무소
3rd row주식회사 알지공간정보
4th row유한회사 함진
5th row주식회사 지아이
ValueCountFrequency (%)
주식회사 22
 
13.3%
유한회사 11
 
6.7%
주)새우리건설건축사사무소 1
 
0.6%
공간측량 1
 
0.6%
을지토목설계사무소 1
 
0.6%
천지설계사무소 1
 
0.6%
영성이앤씨 1
 
0.6%
아성종합개발 1
 
0.6%
수성건설이엔지(주 1
 
0.6%
유)다미종합건설 1
 
0.6%
Other values (124) 124
75.2%
2023-12-12T15:28:59.337156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
79
 
6.8%
63
 
5.4%
) 62
 
5.4%
( 62
 
5.4%
47
 
4.1%
36
 
3.1%
36
 
3.1%
34
 
2.9%
34
 
2.9%
34
 
2.9%
Other values (131) 669
57.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 993
85.9%
Close Punctuation 62
 
5.4%
Open Punctuation 62
 
5.4%
Space Separator 36
 
3.1%
Uppercase Letter 2
 
0.2%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
79
 
8.0%
63
 
6.3%
47
 
4.7%
36
 
3.6%
34
 
3.4%
34
 
3.4%
34
 
3.4%
33
 
3.3%
32
 
3.2%
32
 
3.2%
Other values (125) 569
57.3%
Uppercase Letter
ValueCountFrequency (%)
J 1
50.0%
H 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%
Open Punctuation
ValueCountFrequency (%)
( 62
100.0%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 994
86.0%
Common 160
 
13.8%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
79
 
7.9%
63
 
6.3%
47
 
4.7%
36
 
3.6%
34
 
3.4%
34
 
3.4%
34
 
3.4%
33
 
3.3%
32
 
3.2%
32
 
3.2%
Other values (126) 570
57.3%
Common
ValueCountFrequency (%)
) 62
38.8%
( 62
38.8%
36
22.5%
Latin
ValueCountFrequency (%)
J 1
50.0%
H 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 993
85.9%
ASCII 162
 
14.0%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
79
 
8.0%
63
 
6.3%
47
 
4.7%
36
 
3.6%
34
 
3.4%
34
 
3.4%
34
 
3.4%
33
 
3.3%
32
 
3.2%
32
 
3.2%
Other values (125) 569
57.3%
ASCII
ValueCountFrequency (%)
) 62
38.3%
( 62
38.3%
36
22.2%
J 1
 
0.6%
H 1
 
0.6%
None
ValueCountFrequency (%)
1
100.0%

사무소전화번호
Text

MISSING 

Distinct121
Distinct (%)100.0%
Missing8
Missing (%)6.2%
Memory size1.1 KiB
2023-12-12T15:28:59.664112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.024793
Min length12

Characters and Unicode

Total characters1455
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

Unique121 ?
Unique (%)100.0%

Sample

1st row061-337-0602
2nd row061-278-7900
3rd row061-433-6803
4th row070-8836-5658
5th row061-554-0479
ValueCountFrequency (%)
061-862-2724 1
 
0.8%
062-373-3822 1
 
0.8%
061-853-0370 1
 
0.8%
061-852-0386 1
 
0.8%
061-532-0577 1
 
0.8%
061-332-3848 1
 
0.8%
061-284-8421 1
 
0.8%
061-454-0470 1
 
0.8%
061-471-0406 1
 
0.8%
061-287-7730 1
 
0.8%
Other values (111) 111
91.7%
2023-12-12T15:29:00.190318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 242
16.6%
0 205
14.1%
1 183
12.6%
6 179
12.3%
3 127
8.7%
2 122
8.4%
7 95
 
6.5%
5 92
 
6.3%
4 87
 
6.0%
8 74
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1213
83.4%
Dash Punctuation 242
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 205
16.9%
1 183
15.1%
6 179
14.8%
3 127
10.5%
2 122
10.1%
7 95
7.8%
5 92
7.6%
4 87
7.2%
8 74
 
6.1%
9 49
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1455
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 242
16.6%
0 205
14.1%
1 183
12.6%
6 179
12.3%
3 127
8.7%
2 122
8.4%
7 95
 
6.5%
5 92
 
6.3%
4 87
 
6.0%
8 74
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1455
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 242
16.6%
0 205
14.1%
1 183
12.6%
6 179
12.3%
3 127
8.7%
2 122
8.4%
7 95
 
6.5%
5 92
 
6.3%
4 87
 
6.0%
8 74
 
5.1%

사무소주소
Text

UNIQUE 

Distinct129
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T15:29:00.547763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length44
Mean length34.03876
Min length25

Characters and Unicode

Total characters4391
Distinct characters175
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique129 ?
Unique (%)100.0%

Sample

1st row전라남도 나주시 빛가람로 685 (빛가람동) 312호 우)58217
2nd row전라남도 목포시 용두로 1 (용당동) 2층 우)58709
3rd row전라남도 무안군 삼향읍 후광대로 274 , 12층 1221호(남악도청프라자) 우)58567
4th row전라남도 강진군 강진읍 평동1길 5 (지효빌) 1층 우)59238
5th row전라남도 목포시 정의로 26-4 (옥암동) 3층 303호 우)58671
ValueCountFrequency (%)
전라남도 129
 
15.0%
2층 25
 
2.9%
순천시 18
 
2.1%
나주시 10
 
1.2%
무안군 10
 
1.2%
영광군 10
 
1.2%
해남군 9
 
1.0%
영광읍 9
 
1.0%
고흥군 8
 
0.9%
해남읍 8
 
0.9%
Other values (403) 622
72.5%
2023-12-12T15:29:01.081748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
890
20.3%
5 215
 
4.9%
) 171
 
3.9%
160
 
3.6%
1 157
 
3.6%
152
 
3.5%
2 152
 
3.5%
131
 
3.0%
129
 
2.9%
129
 
2.9%
Other values (165) 2105
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1990
45.3%
Decimal Number 1180
26.9%
Space Separator 890
20.3%
Close Punctuation 171
 
3.9%
Other Punctuation 69
 
1.6%
Dash Punctuation 47
 
1.1%
Open Punctuation 42
 
1.0%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
160
 
8.0%
152
 
7.6%
131
 
6.6%
129
 
6.5%
129
 
6.5%
92
 
4.6%
87
 
4.4%
73
 
3.7%
54
 
2.7%
48
 
2.4%
Other values (148) 935
47.0%
Decimal Number
ValueCountFrequency (%)
5 215
18.2%
1 157
13.3%
2 152
12.9%
3 119
10.1%
7 114
9.7%
9 97
8.2%
8 90
7.6%
6 80
 
6.8%
0 80
 
6.8%
4 76
 
6.4%
Uppercase Letter
ValueCountFrequency (%)
G 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
890
100.0%
Close Punctuation
ValueCountFrequency (%)
) 171
100.0%
Other Punctuation
ValueCountFrequency (%)
, 69
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2399
54.6%
Hangul 1990
45.3%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
160
 
8.0%
152
 
7.6%
131
 
6.6%
129
 
6.5%
129
 
6.5%
92
 
4.6%
87
 
4.4%
73
 
3.7%
54
 
2.7%
48
 
2.4%
Other values (148) 935
47.0%
Common
ValueCountFrequency (%)
890
37.1%
5 215
 
9.0%
) 171
 
7.1%
1 157
 
6.5%
2 152
 
6.3%
3 119
 
5.0%
7 114
 
4.8%
9 97
 
4.0%
8 90
 
3.8%
6 80
 
3.3%
Other values (5) 314
 
13.1%
Latin
ValueCountFrequency (%)
G 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2401
54.7%
Hangul 1990
45.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
890
37.1%
5 215
 
9.0%
) 171
 
7.1%
1 157
 
6.5%
2 152
 
6.3%
3 119
 
5.0%
7 114
 
4.7%
9 97
 
4.0%
8 90
 
3.7%
6 80
 
3.3%
Other values (7) 316
 
13.2%
Hangul
ValueCountFrequency (%)
160
 
8.0%
152
 
7.6%
131
 
6.6%
129
 
6.5%
129
 
6.5%
92
 
4.6%
87
 
4.4%
73
 
3.7%
54
 
2.7%
48
 
2.4%
Other values (148) 935
47.0%
Distinct115
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T15:29:01.483783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.0697674
Min length2

Characters and Unicode

Total characters396
Distinct characters96
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)80.6%

Sample

1st row김O옥
2nd row한O철
3rd row전O진
4th row서O진
5th row민O주
ValueCountFrequency (%)
김o수 4
 
3.1%
김o현 3
 
2.3%
김o호 3
 
2.3%
박o호 2
 
1.5%
이o현 2
 
1.5%
이o숙 2
 
1.5%
김o영 2
 
1.5%
김o구 2
 
1.5%
박o욱 2
 
1.5%
이o영 2
 
1.5%
Other values (105) 107
81.7%
2023-12-12T15:29:02.089967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 131
33.1%
37
 
9.3%
19
 
4.8%
11
 
2.8%
10
 
2.5%
8
 
2.0%
7
 
1.8%
7
 
1.8%
6
 
1.5%
6
 
1.5%
Other values (86) 154
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 261
65.9%
Uppercase Letter 131
33.1%
Other Punctuation 2
 
0.5%
Space Separator 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
37
 
14.2%
19
 
7.3%
11
 
4.2%
10
 
3.8%
8
 
3.1%
7
 
2.7%
7
 
2.7%
6
 
2.3%
6
 
2.3%
5
 
1.9%
Other values (83) 145
55.6%
Uppercase Letter
ValueCountFrequency (%)
O 131
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 261
65.9%
Latin 131
33.1%
Common 4
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
37
 
14.2%
19
 
7.3%
11
 
4.2%
10
 
3.8%
8
 
3.1%
7
 
2.7%
7
 
2.7%
6
 
2.3%
6
 
2.3%
5
 
1.9%
Other values (83) 145
55.6%
Common
ValueCountFrequency (%)
, 2
50.0%
2
50.0%
Latin
ValueCountFrequency (%)
O 131
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 261
65.9%
ASCII 135
34.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 131
97.0%
, 2
 
1.5%
2
 
1.5%
Hangul
ValueCountFrequency (%)
37
 
14.2%
19
 
7.3%
11
 
4.2%
10
 
3.8%
8
 
3.1%
7
 
2.7%
7
 
2.7%
6
 
2.3%
6
 
2.3%
5
 
1.9%
Other values (83) 145
55.6%

Missing values

2023-12-12T15:28:58.524436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:28:58.637796image/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

업체명사무소전화번호사무소주소대표자명
0주식회사 테바에스아이061-337-0602전라남도 나주시 빛가람로 685 (빛가람동) 312호 우)58217김O옥
1천지토목측량설계사무소061-278-7900전라남도 목포시 용두로 1 (용당동) 2층 우)58709한O철
2주식회사 알지공간정보<NA>전라남도 무안군 삼향읍 후광대로 274 , 12층 1221호(남악도청프라자) 우)58567전O진
3유한회사 함진061-433-6803전라남도 강진군 강진읍 평동1길 5 (지효빌) 1층 우)59238서O진
4주식회사 지아이<NA>전라남도 목포시 정의로 26-4 (옥암동) 3층 303호 우)58671민O주
5해주 주식회사<NA>전라남도 곡성군 오곡면 기차마을로 147 우)57544오O규
6나노엔지니어링 주식회사070-8836-5658전라남도 장성군 남면 나노산단3로 46 2층 우)57248김O영
7지중해개발 주식회사061-554-0479전라남도 완도군 완도읍 청해진남로 39 2층 우)59123이O숙
8주식회사 석정061-371-3886전라남도 화순군 화순읍 충의로 193 우)58133신O순
9유한회사 골드측량설계공사<NA>전라남도 여수시 시청서3길 7-5 (학동) 우)59674양O호
업체명사무소전화번호사무소주소대표자명
119(유)동무건설061-334-1170전라남도 나주시 청동길 92 우)58252박O명
120(주)종합측량설계공사061-274-7171전라남도 목포시 양을로 200 우)58647강O화
121대야산업(주)061-453-0641전라남도 무안군 무안읍 영산로 3081 우)58516김O수, 김O구
122제일측량설계공사(유)061-833-9095전라남도 고흥군 고흥읍 고흥군청로 4, 302호 우)59542장O주
123탐진측량설계공사061-862-8013전라남도 장흥군 장흥읍 중앙로 56-1 우)59324정O호
124(합자)건우토목측량설계공사061-794-2502전라남도 광양시 중동로 79, 3층(안산빌딩) 우)57785손O배
125(유)성진측량설계공사061-743-0711전라남도 순천시 운동1길 30-5 (조례동), 2층 우)57944성O진
126(주)티티엔지니어링061-373-9002전라남도 진도군 진도읍 진도대로 6630 우)58932김O현
127삼호측량설계공사061-536-0496전라남도 영암군 영암읍 군청로 2-22 우)58415김O선
128(주)대한기술단061-762-2698전라남도 광양시 광양읍 호북길 3-11 우)57741김O수