Overview

Dataset statistics

Number of variables5
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory43.9 B

Variable types

Categorical2
Text3

Dataset

Description경기도 고양시 계량기 업체(계량기 제조업, 수리업, 수입업, 계량증명업) 현황에 대한 데이터로 구분, 업체명, 주소, 전화번호 등의 항목을 제공합니다.
Author경기도 고양시
URLhttps://www.data.go.kr/data/15011977/fileData.do

Reproduction

Analysis started2023-12-12 22:29:03.112896
Analysis finished2023-12-12 22:29:03.463699
Duration0.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct4
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
계량기 수리업
11 
계량기 제조업
10 
계량증명업
10 
계량기 수입업

Length

Max length7
Median length7
Mean length6.4117647
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row계량기 수리업
2nd row계량기 제조업
3rd row계량기 수리업
4th row계량기 제조업
5th row계량기 수입업

Common Values

ValueCountFrequency (%)
계량기 수리업 11
32.4%
계량기 제조업 10
29.4%
계량증명업 10
29.4%
계량기 수입업 3
 
8.8%

Length

2023-12-13T07:29:03.524502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:29:03.617393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
계량기 24
41.4%
수리업 11
19.0%
제조업 10
17.2%
계량증명업 10
17.2%
수입업 3
 
5.2%

상호
Text

Distinct25
Distinct (%)73.5%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-13T07:29:03.773197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length6.9705882
Min length2

Characters and Unicode

Total characters237
Distinct characters82
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

Unique17 ?
Unique (%)50.0%

Sample

1st row(주)서울메타텍
2nd row(주)서울메타텍
3rd row(주)제이엠테크
4th row(주)제이엠테크
5th row(주)카페클럽
ValueCountFrequency (%)
삼성저울 3
 
8.6%
세진계량시스템 2
 
5.7%
새롬 2
 
5.7%
그린계기(주 2
 
5.7%
삼성계량시스템 2
 
5.7%
주)제이엠테크 2
 
5.7%
주)서울메타텍 2
 
5.7%
주)케이이씨에너지 2
 
5.7%
장항공인계량증명업소 1
 
2.9%
동화계량기 1
 
2.9%
Other values (16) 16
45.7%
2023-12-13T07:29:04.054268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15
 
6.3%
13
 
5.5%
) 12
 
5.1%
11
 
4.6%
( 11
 
4.6%
9
 
3.8%
6
 
2.5%
6
 
2.5%
5
 
2.1%
5
 
2.1%
Other values (72) 144
60.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 209
88.2%
Close Punctuation 12
 
5.1%
Open Punctuation 11
 
4.6%
Other Symbol 4
 
1.7%
Space Separator 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
15
 
7.2%
13
 
6.2%
11
 
5.3%
9
 
4.3%
6
 
2.9%
6
 
2.9%
5
 
2.4%
5
 
2.4%
5
 
2.4%
5
 
2.4%
Other values (68) 129
61.7%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Other Symbol
ValueCountFrequency (%)
4
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 213
89.9%
Common 24
 
10.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
15
 
7.0%
13
 
6.1%
11
 
5.2%
9
 
4.2%
6
 
2.8%
6
 
2.8%
5
 
2.3%
5
 
2.3%
5
 
2.3%
5
 
2.3%
Other values (69) 133
62.4%
Common
ValueCountFrequency (%)
) 12
50.0%
( 11
45.8%
1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 209
88.2%
ASCII 24
 
10.1%
None 4
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
15
 
7.2%
13
 
6.2%
11
 
5.3%
9
 
4.3%
6
 
2.9%
6
 
2.9%
5
 
2.4%
5
 
2.4%
5
 
2.4%
5
 
2.4%
Other values (68) 129
61.7%
ASCII
ValueCountFrequency (%)
) 12
50.0%
( 11
45.8%
1
 
4.2%
None
ValueCountFrequency (%)
4
100.0%

주소
Text

Distinct25
Distinct (%)73.5%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-13T07:29:04.253618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34
Mean length29.411765
Min length19

Characters and Unicode

Total characters1000
Distinct characters95
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

Unique17 ?
Unique (%)50.0%

Sample

1st row경기도 고양시 덕양구 고골길116번길 39-45 (관산동,고골길 116)
2nd row경기도 고양시 덕양구 고골길116번길 39-45 (관산동,고골길 116)
3rd row경기도 고양시 덕양구 통일로 140, 삼송테크노밸리 C동 106호
4th row경기도 고양시 덕양구 통일로 140, 삼송테크노밸리 C동 106호
5th row경기도 고양시 덕양구 유산길50번길 69 (내유동)
ValueCountFrequency (%)
고양시 34
 
16.6%
경기도 31
 
15.1%
덕양구 18
 
8.8%
일산동구 12
 
5.9%
주교동 5
 
2.4%
고양대로 4
 
2.0%
일산서구 4
 
2.0%
1238 3
 
1.5%
48 3
 
1.5%
일산로 3
 
1.5%
Other values (63) 88
42.9%
2023-12-13T07:29:04.573652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
171
 
17.1%
58
 
5.8%
1 45
 
4.5%
44
 
4.4%
39
 
3.9%
36
 
3.6%
36
 
3.6%
32
 
3.2%
31
 
3.1%
31
 
3.1%
Other values (85) 477
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 591
59.1%
Space Separator 171
 
17.1%
Decimal Number 171
 
17.1%
Close Punctuation 22
 
2.2%
Open Punctuation 22
 
2.2%
Dash Punctuation 11
 
1.1%
Other Punctuation 10
 
1.0%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
58
 
9.8%
44
 
7.4%
39
 
6.6%
36
 
6.1%
36
 
6.1%
32
 
5.4%
31
 
5.2%
31
 
5.2%
28
 
4.7%
27
 
4.6%
Other values (69) 229
38.7%
Decimal Number
ValueCountFrequency (%)
1 45
26.3%
6 22
12.9%
4 19
11.1%
2 18
 
10.5%
3 17
 
9.9%
5 15
 
8.8%
8 13
 
7.6%
0 11
 
6.4%
9 8
 
4.7%
7 3
 
1.8%
Space Separator
ValueCountFrequency (%)
171
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 591
59.1%
Common 407
40.7%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
58
 
9.8%
44
 
7.4%
39
 
6.6%
36
 
6.1%
36
 
6.1%
32
 
5.4%
31
 
5.2%
31
 
5.2%
28
 
4.7%
27
 
4.6%
Other values (69) 229
38.7%
Common
ValueCountFrequency (%)
171
42.0%
1 45
 
11.1%
6 22
 
5.4%
) 22
 
5.4%
( 22
 
5.4%
4 19
 
4.7%
2 18
 
4.4%
3 17
 
4.2%
5 15
 
3.7%
8 13
 
3.2%
Other values (5) 43
 
10.6%
Latin
ValueCountFrequency (%)
C 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 591
59.1%
ASCII 409
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
171
41.8%
1 45
 
11.0%
6 22
 
5.4%
) 22
 
5.4%
( 22
 
5.4%
4 19
 
4.6%
2 18
 
4.4%
3 17
 
4.2%
5 15
 
3.7%
8 13
 
3.2%
Other values (6) 45
 
11.0%
Hangul
ValueCountFrequency (%)
58
 
9.8%
44
 
7.4%
39
 
6.6%
36
 
6.1%
36
 
6.1%
32
 
5.4%
31
 
5.2%
31
 
5.2%
28
 
4.7%
27
 
4.6%
Other values (69) 229
38.7%
Distinct25
Distinct (%)73.5%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-13T07:29:04.752881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.852941
Min length11

Characters and Unicode

Total characters403
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

Unique17 ?
Unique (%)50.0%

Sample

1st row031-969-5262
2nd row031-969-5262
3rd row02-2659-1027
4th row02-2659-1027
5th row0507-1411-5650
ValueCountFrequency (%)
031-969-5300 3
 
8.8%
031-969-5906 2
 
5.9%
031-932-3563 2
 
5.9%
031-315-313 2
 
5.9%
031-906-8277 2
 
5.9%
02-2659-1027 2
 
5.9%
031-969-5262 2
 
5.9%
02-326-2091 2
 
5.9%
031-905-8595 1
 
2.9%
031-979-4674 1
 
2.9%
Other values (15) 15
44.1%
2023-12-13T07:29:05.066504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 68
16.9%
0 63
15.6%
3 49
12.2%
1 49
12.2%
9 46
11.4%
2 35
8.7%
6 32
7.9%
5 27
 
6.7%
7 17
 
4.2%
4 10
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 335
83.1%
Dash Punctuation 68
 
16.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 63
18.8%
3 49
14.6%
1 49
14.6%
9 46
13.7%
2 35
10.4%
6 32
9.6%
5 27
8.1%
7 17
 
5.1%
4 10
 
3.0%
8 7
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 403
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 68
16.9%
0 63
15.6%
3 49
12.2%
1 49
12.2%
9 46
11.4%
2 35
8.7%
6 32
7.9%
5 27
 
6.7%
7 17
 
4.2%
4 10
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 403
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 68
16.9%
0 63
15.6%
3 49
12.2%
1 49
12.2%
9 46
11.4%
2 35
8.7%
6 32
7.9%
5 27
 
6.7%
7 17
 
4.2%
4 10
 
2.5%
Distinct8
Distinct (%)23.5%
Missing0
Missing (%)0.0%
Memory size404.0 B
전기식지시저울
20 
가스미터
전기식지시저울, 판수동저울, 접시(판)지시저울
오일미터
 
2
수도미터(온수미터), 눈새김탱크
 
2
Other values (3)

Length

Max length25
Median length7
Mean length9.0882353
Min length3

Unique

Unique2 ?
Unique (%)5.9%

Sample

1st row가스미터
2nd row가스미터
3rd row전기식지시저울
4th row전기식지시저울
5th row전기식지시저울

Common Values

ValueCountFrequency (%)
전기식지시저울 20
58.8%
가스미터 3
 
8.8%
전기식지시저울, 판수동저울, 접시(판)지시저울 3
 
8.8%
오일미터 2
 
5.9%
수도미터(온수미터), 눈새김탱크 2
 
5.9%
전력량계, 전기자동차충전기 2
 
5.9%
접시(판)지시저울 1
 
2.9%
주유기 1
 
2.9%

Length

2023-12-13T07:29:05.175860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:29:05.266722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전기식지시저울 23
52.3%
접시(판)지시저울 4
 
9.1%
가스미터 3
 
6.8%
판수동저울 3
 
6.8%
오일미터 2
 
4.5%
수도미터(온수미터 2
 
4.5%
눈새김탱크 2
 
4.5%
전력량계 2
 
4.5%
전기자동차충전기 2
 
4.5%
주유기 1
 
2.3%

Correlations

2023-12-13T07:29:05.346754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분상호주소전화번호제조(수리 수입)할 계량기
구분1.0000.2800.2800.2800.608
상호0.2801.0001.0001.0000.990
주소0.2801.0001.0001.0000.990
전화번호0.2801.0001.0001.0000.990
제조(수리 수입)할 계량기0.6080.9900.9900.9901.000
2023-12-13T07:29:05.434829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분제조(수리 수입)할 계량기
구분1.0000.276
제조(수리 수입)할 계량기0.2761.000
2023-12-13T07:29:05.506211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분제조(수리 수입)할 계량기
구분1.0000.276
제조(수리 수입)할 계량기0.2761.000

Missing values

2023-12-13T07:29:03.355273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:29:03.435796image/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

구분상호주소전화번호제조(수리 수입)할 계량기
0계량기 수리업(주)서울메타텍경기도 고양시 덕양구 고골길116번길 39-45 (관산동,고골길 116)031-969-5262가스미터
1계량기 제조업(주)서울메타텍경기도 고양시 덕양구 고골길116번길 39-45 (관산동,고골길 116)031-969-5262가스미터
2계량기 수리업(주)제이엠테크경기도 고양시 덕양구 통일로 140, 삼송테크노밸리 C동 106호02-2659-1027전기식지시저울
3계량기 제조업(주)제이엠테크경기도 고양시 덕양구 통일로 140, 삼송테크노밸리 C동 106호02-2659-1027전기식지시저울
4계량기 수입업(주)카페클럽경기도 고양시 덕양구 유산길50번길 69 (내유동)0507-1411-5650전기식지시저울
5계량기 수리업(주)케이이씨에너지경기도 고양시 일산동구 견달산로161번길 48 (식사동)02-326-2091오일미터
6계량기 제조업(주)케이이씨에너지경기도 고양시 일산동구 견달산로161번길 48 (식사동)02-326-2091오일미터
7계량기 수입업(주)페어프랜즈고양시 일산동구 백마로195, 오피스동 5001-4호031-962-5840접시(판)지시저울
8계량증명업㈜더원리사이클링경기도 고양시 일산동구 사리현로 143-2 (사리현동)031-967-0571전기식지시저울
9계량증명업경기고양 공인계량소경기도 고양시 덕양구 화전동 772번지 3호02-3159-7368전기식지시저울
구분상호주소전화번호제조(수리 수입)할 계량기
24계량증명업삼성저울경기도 고양시 덕양구 고양대로 1238 (주교동)031-969-5300전기식지시저울
25계량기 수리업새롬경기도 고양시 일산동구 일산로 142 (백석동, 유니테크빌 1026호)031-932-3563전기식지시저울
26계량기 제조업새롬경기도 고양시 일산동구 일산로 142 (백석동, 유니테크빌 1026호)031-932-3563전기식지시저울
27계량기 수리업세진계량시스템경기도 고양시 덕양구 고양시청로 13-6 (주교동)031-969-5906전기식지시저울, 판수동저울, 접시(판)지시저울
28계량기 제조업세진계량시스템경기도 고양시 덕양구 고양시청로 13-6 (주교동)031-969-5906전기식지시저울, 판수동저울, 접시(판)지시저울
29계량증명업장항공인계량증명업소경기도 고양시 일산동구 장항로 203-22 (장항동, 한남리사이팅)031-905-8595전기식지시저울
30계량증명업주)고양자원경기도 고양시 일산동구 성현로 653 (사리현동)031-962-3166전기식지시저울
31계량기 제조업㈜두루스코이브이경기도 고양시 일산서구 덕산로 65번길 9-9031-922-2021전력량계, 전기자동차충전기
32계량기 제조업㈜삼광산전경기도 고양시 일산동구 일산로 142, 유니테크빌벤처타운 42031-909-7030전력량계, 전기자동차충전기
33계량증명업주신자원(주)경기도 고양시 덕양구 중앙로 304031-979-2109전기식지시저울