Overview

Dataset statistics

Number of variables4
Number of observations168
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 KiB
Average record size in memory32.8 B

Variable types

Categorical1
Text3

Dataset

Description2021년 9월 16일 기준 경남도내 측량업체 등록 현황(업종, 업등록번호, 업체명, 전화번호, 우편번호, 도로명주소)
Author경상남도
URLhttps://www.data.go.kr/data/15056436/fileData.do

Alerts

업등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:52:20.867579
Analysis finished2023-12-12 03:52:21.458470
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
일반측량
133 
공공측량
28 
지적측량
 
7

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반측량 133
79.2%
공공측량 28
 
16.7%
지적측량 7
 
4.2%

Length

2023-12-12T12:52:21.578531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:52:21.754794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반측량 133
79.2%
공공측량 28
 
16.7%
지적측량 7
 
4.2%

업등록번호
Text

UNIQUE 

Distinct168
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T12:52:22.167218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.077381
Min length4

Characters and Unicode

Total characters1357
Distinct characters13
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

Unique168 ?
Unique (%)100.0%

Sample

1st row경남13
2nd row02-000311
3rd row02-000312
4th row02-000281
5th row02-000255
ValueCountFrequency (%)
경남13 1
 
0.6%
04-003576 1
 
0.6%
6042078 1
 
0.6%
6042057 1
 
0.6%
04-003710 1
 
0.6%
6042180 1
 
0.6%
04-003739 1
 
0.6%
04-003642 1
 
0.6%
04-003768 1
 
0.6%
04-004551 1
 
0.6%
Other values (158) 158
94.0%
2023-12-12T12:52:22.831347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 449
33.1%
4 205
15.1%
2 121
 
8.9%
3 107
 
7.9%
6 106
 
7.8%
- 105
 
7.7%
1 88
 
6.5%
7 54
 
4.0%
5 45
 
3.3%
8 38
 
2.8%
Other values (3) 39
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1250
92.1%
Dash Punctuation 105
 
7.7%
Other Letter 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 449
35.9%
4 205
16.4%
2 121
 
9.7%
3 107
 
8.6%
6 106
 
8.5%
1 88
 
7.0%
7 54
 
4.3%
5 45
 
3.6%
8 38
 
3.0%
9 37
 
3.0%
Other Letter
ValueCountFrequency (%)
경 1
50.0%
남 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 105
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1355
99.9%
Hangul 2
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 449
33.1%
4 205
15.1%
2 121
 
8.9%
3 107
 
7.9%
6 106
 
7.8%
- 105
 
7.7%
1 88
 
6.5%
7 54
 
4.0%
5 45
 
3.3%
8 38
 
2.8%
Hangul
ValueCountFrequency (%)
경 1
50.0%
남 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1355
99.9%
Hangul 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 449
33.1%
4 205
15.1%
2 121
 
8.9%
3 107
 
7.9%
6 106
 
7.8%
- 105
 
7.7%
1 88
 
6.5%
7 54
 
4.0%
5 45
 
3.3%
8 38
 
2.8%
Hangul
ValueCountFrequency (%)
경 1
50.0%
남 1
50.0%

업체명
Text

Distinct159
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T12:52:23.271776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12.5
Mean length8.5892857
Min length2

Characters and Unicode

Total characters1443
Distinct characters140
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

Unique151 ?
Unique (%)89.9%

Sample

1st row(주) 민종합기술단
2nd row(주)동영기술단
3rd row(주)우리이엔지건축사사무소
4th row(주)우신측량토목공사
5th row(주)한토공간기술
ValueCountFrequency (%)
주식회사 58
 
25.0%
미소엔지니어링 3
 
1.3%
주 3
 
1.3%
주)동영기술단 2
 
0.9%
도현정보기술 2
 
0.9%
민종합기술단 2
 
0.9%
우주종합이엔지 2
 
0.9%
주)한토공간기술 2
 
0.9%
주)우신측량토목공사 2
 
0.9%
주)우리이엔지건축사사무소 2
 
0.9%
Other values (154) 154
66.4%
2023-12-12T12:52:24.020200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 130
 
9.0%
사 87
 
6.0%
) 69
 
4.8%
( 69
 
4.8%
64
 
4.4%
회 60
 
4.2%
엔 60
 
4.2%
지 60
 
4.2%
식 59
 
4.1%
이 38
 
2.6%
Other values (130) 747
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1225
84.9%
Close Punctuation 69
 
4.8%
Open Punctuation 69
 
4.8%
Space Separator 64
 
4.4%
Uppercase Letter 12
 
0.8%
Lowercase Letter 2
 
0.1%
Other Punctuation 1
 
0.1%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 130
 
10.6%
사 87
 
7.1%
회 60
 
4.9%
엔 60
 
4.9%
지 60
 
4.9%
식 59
 
4.8%
이 38
 
3.1%
링 36
 
2.9%
니 36
 
2.9%
어 36
 
2.9%
Other values (118) 623
50.9%
Uppercase Letter
ValueCountFrequency (%)
E 4
33.3%
G 3
25.0%
N 3
25.0%
L 1
 
8.3%
S 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
n 1
50.0%
g 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 69
100.0%
Open Punctuation
ValueCountFrequency (%)
( 69
100.0%
Space Separator
ValueCountFrequency (%)
64
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1226
85.0%
Common 203
 
14.1%
Latin 14
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 130
 
10.6%
사 87
 
7.1%
회 60
 
4.9%
엔 60
 
4.9%
지 60
 
4.9%
식 59
 
4.8%
이 38
 
3.1%
링 36
 
2.9%
니 36
 
2.9%
어 36
 
2.9%
Other values (119) 624
50.9%
Latin
ValueCountFrequency (%)
E 4
28.6%
G 3
21.4%
N 3
21.4%
n 1
 
7.1%
g 1
 
7.1%
L 1
 
7.1%
S 1
 
7.1%
Common
ValueCountFrequency (%)
) 69
34.0%
( 69
34.0%
64
31.5%
, 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1225
84.9%
ASCII 217
 
15.0%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 130
 
10.6%
사 87
 
7.1%
회 60
 
4.9%
엔 60
 
4.9%
지 60
 
4.9%
식 59
 
4.8%
이 38
 
3.1%
링 36
 
2.9%
니 36
 
2.9%
어 36
 
2.9%
Other values (118) 623
50.9%
ASCII
ValueCountFrequency (%)
) 69
31.8%
( 69
31.8%
64
29.5%
E 4
 
1.8%
G 3
 
1.4%
N 3
 
1.4%
n 1
 
0.5%
g 1
 
0.5%
, 1
 
0.5%
L 1
 
0.5%
None
ValueCountFrequency (%)
㈜ 1
100.0%

사무소도로명주소
Text

Distinct160
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T12:52:24.512284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length48
Mean length35.375
Min length27

Characters and Unicode

Total characters5943
Distinct characters204
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique153 ?
Unique (%)91.1%

Sample

1st row50611 경상남도 양산시 물금읍 청운로 345, 702호 (캠퍼스프라자)
2nd row50419 경상남도 밀양시 시청로1길 6, 3층 (내이동)
3rd row50652 경상남도 양산시 물금읍 부산대학로 150, 603호(대한빌딩)
4th row50653 경상남도 양산시 물금읍 증산역로 149, 7층 703,704호(세영프라자)
5th row52818 경상남도 진주시 동부로169번길 12 (충무공동), 윙스타워 A동 1302호
ValueCountFrequency (%)
경상남도 168
 
14.5%
양산시 33
 
2.8%
2층 32
 
2.8%
밀양시 21
 
1.8%
진주시 14
 
1.2%
3층 14
 
1.2%
내이동 12
 
1.0%
1층 11
 
0.9%
물금읍 11
 
0.9%
50419 10
 
0.9%
Other values (498) 832
71.8%
2023-12-12T12:52:25.186561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1213
20.4%
2 298
 
5.0%
5 275
 
4.6%
1 252
 
4.2%
0 239
 
4.0%
남 198
 
3.3%
3 183
 
3.1%
상 176
 
3.0%
도 174
 
2.9%
경 170
 
2.9%
Other values (194) 2765
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2662
44.8%
Decimal Number 1667
28.0%
Space Separator 1213
20.4%
Other Punctuation 129
 
2.2%
Close Punctuation 97
 
1.6%
Open Punctuation 96
 
1.6%
Dash Punctuation 67
 
1.1%
Uppercase Letter 10
 
0.2%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 198
 
7.4%
상 176
 
6.6%
도 174
 
6.5%
경 170
 
6.4%
동 124
 
4.7%
로 116
 
4.4%
시 110
 
4.1%
길 81
 
3.0%
양 81
 
3.0%
층 80
 
3.0%
Other values (171) 1352
50.8%
Decimal Number
ValueCountFrequency (%)
2 298
17.9%
5 275
16.5%
1 252
15.1%
0 239
14.3%
3 183
11.0%
4 124
7.4%
6 92
 
5.5%
9 91
 
5.5%
8 60
 
3.6%
7 53
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
A 4
40.0%
B 2
20.0%
T 1
 
10.0%
I 1
 
10.0%
J 1
 
10.0%
S 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
t 1
50.0%
k 1
50.0%
Space Separator
ValueCountFrequency (%)
1213
100.0%
Other Punctuation
ValueCountFrequency (%)
, 129
100.0%
Close Punctuation
ValueCountFrequency (%)
) 97
100.0%
Open Punctuation
ValueCountFrequency (%)
( 96
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 67
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3269
55.0%
Hangul 2662
44.8%
Latin 12
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 198
 
7.4%
상 176
 
6.6%
도 174
 
6.5%
경 170
 
6.4%
동 124
 
4.7%
로 116
 
4.4%
시 110
 
4.1%
길 81
 
3.0%
양 81
 
3.0%
층 80
 
3.0%
Other values (171) 1352
50.8%
Common
ValueCountFrequency (%)
1213
37.1%
2 298
 
9.1%
5 275
 
8.4%
1 252
 
7.7%
0 239
 
7.3%
3 183
 
5.6%
, 129
 
3.9%
4 124
 
3.8%
) 97
 
3.0%
( 96
 
2.9%
Other values (5) 363
 
11.1%
Latin
ValueCountFrequency (%)
A 4
33.3%
B 2
16.7%
T 1
 
8.3%
I 1
 
8.3%
J 1
 
8.3%
t 1
 
8.3%
k 1
 
8.3%
S 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3281
55.2%
Hangul 2662
44.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1213
37.0%
2 298
 
9.1%
5 275
 
8.4%
1 252
 
7.7%
0 239
 
7.3%
3 183
 
5.6%
, 129
 
3.9%
4 124
 
3.8%
) 97
 
3.0%
( 96
 
2.9%
Other values (13) 375
 
11.4%
Hangul
ValueCountFrequency (%)
남 198
 
7.4%
상 176
 
6.6%
도 174
 
6.5%
경 170
 
6.4%
동 124
 
4.7%
로 116
 
4.4%
시 110
 
4.1%
길 81
 
3.0%
양 81
 
3.0%
층 80
 
3.0%
Other values (171) 1352
50.8%

Missing values

2023-12-12T12:52:21.249255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:52:21.400646image/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

업종업등록번호업체명사무소도로명주소
0지적측량경남13(주) 민종합기술단50611 경상남도 양산시 물금읍 청운로 345, 702호 (캠퍼스프라자)
1지적측량02-000311(주)동영기술단50419 경상남도 밀양시 시청로1길 6, 3층 (내이동)
2지적측량02-000312(주)우리이엔지건축사사무소50652 경상남도 양산시 물금읍 부산대학로 150, 603호(대한빌딩)
3지적측량02-000281(주)우신측량토목공사50653 경상남도 양산시 물금읍 증산역로 149, 7층 703,704호(세영프라자)
4지적측량02-000255(주)한토공간기술52818 경상남도 진주시 동부로169번길 12 (충무공동), 윙스타워 A동 1302호
5지적측량02-000259우주종합이엔지50623 경상남도 양산시 옥곡3길 7-0 (남부동)
6지적측량02-000235주식회사 가온측량설계공사52767 경상남도 진주시 도동로248번길 25 (하대동), 2층
7공공측량03-001137(주) 현진종합엔지니어링50317 경상남도 창녕군 창녕읍 우포2로 1189-26, 2층
8공공측량03-001125(주)경원52818 경상남도 진주시 동부로169번길 12 (충무공동), A동 1102호(윙스타워)
9공공측량61139(주)덕신건설50035 경상남도 함양군 함양읍 운림길 27, 2층
업종업등록번호업체명사무소도로명주소
158일반측량04-003978지엠측량,토목설계53039 경상남도 통영시 안개3길 31-13 (무전동), 1층
159일반측량04-004433지피에스토목설계사무소50035 경상남도 함양군 함양읍 함양초등길 8,
160일반측량04-003202창녕토목설계공사50317 경상남도 창녕군 창녕읍 군청길 4, 2층
161일반측량04-003224태강토목52943 경상남도 고성군 고성읍 성내로 129-0 101(행운빌딩)
162일반측량04-004047하루52669 경상남도 진주시 숙호산로 13 (이현동),
163일반측량04-003763한양토목설계52425 경상남도 남해군 남해읍 망운로9번길 15
164일반측량04-003397해들강토목설계52225 경상남도 산청군 산청읍 중앙로 119-0
165일반측량04-004835주식회사 가람종합기술단52943 경상남도 고성군 고성읍 성내로 129, 2층(행운빌딩)
166일반측량04-004127주식회사 거림종합기술52532 경상남도 사천시 사천읍 진삼로 1317-3, 2층
167일반측량6042113천명기술단50930 경상남도 김해시 인제로39번길 20-0 302호(삼정동)