Overview

Dataset statistics

Number of variables4
Number of observations276
Missing cells0
Missing cells (%)0.0%
Duplicate rows3
Duplicate rows (%)1.1%
Total size in memory8.8 KiB
Average record size in memory32.5 B

Variable types

Categorical2
Text2

Dataset

Description울산광역시 내 소방 시설업 등 소방관련 업체 등록현황 등의 자료(상호명, 소재지, 세부분야-감리,설계,공사,방염 등)를 제공하고 있음.
Author울산광역시
URLhttps://www.data.go.kr/data/15054878/fileData.do

Alerts

Dataset has 3 (1.1%) duplicate rowsDuplicates
업체구분 is highly overall correlated with 세부구분High correlation
세부구분 is highly overall correlated with 업체구분High correlation

Reproduction

Analysis started2024-03-15 02:04:46.925272
Analysis finished2024-03-15 02:04:47.661821
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
소방시설공사업
169 
소방시설설계업
53 
소빙시설감리업
39 
방염업
 
15

Length

Max length7
Median length7
Mean length6.7826087
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
소방시설공사업 169
61.2%
소방시설설계업 53
 
19.2%
소빙시설감리업 39
 
14.1%
방염업 15
 
5.4%

Length

2024-03-15T11:04:47.915237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T11:04:48.290990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소방시설공사업 169
61.2%
소방시설설계업 53
 
19.2%
소빙시설감리업 39
 
14.1%
방염업 15
 
5.4%

세부구분
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
전문
168 
일반(전기)
36 
일반(기계)
33 
합판목재류
 
10
일반(전기),일반(기계)
 
7
Other values (6)
22 

Length

Max length47
Median length2
Mean length5.2137681
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
전문 168
60.9%
일반(전기) 36
 
13.0%
일반(기계) 33
 
12.0%
합판목재류 10
 
3.6%
일반(전기),일반(기계) 7
 
2.5%
전문,일반(전기),일반(기계) 5
 
1.8%
전문,전문,일반(전기),일반(전기),일반(전기),일반(기계),일반(기계),일반(기계) 5
 
1.8%
일반(전기),일반(전기),일반(기계),일반(기계) 4
 
1.4%
합성수지류 4
 
1.4%
전문,일반(전기),일반(전기),일반(기계),일반(기계) 3
 
1.1%

Length

2024-03-15T11:04:48.668375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전문 168
60.9%
일반(전기 36
 
13.0%
일반(기계 33
 
12.0%
합판목재류 10
 
3.6%
일반(전기),일반(기계 7
 
2.5%
전문,일반(전기),일반(기계 5
 
1.8%
전문,전문,일반(전기),일반(전기),일반(전기),일반(기계),일반(기계),일반(기계 5
 
1.8%
일반(전기),일반(전기),일반(기계),일반(기계 4
 
1.4%
합성수지류 4
 
1.4%
전문,일반(전기),일반(전기),일반(기계),일반(기계 3
 
1.1%
Distinct214
Distinct (%)77.5%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-03-15T11:04:49.711393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length8.2971014
Min length4

Characters and Unicode

Total characters2290
Distinct characters192
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

Unique176 ?
Unique (%)63.8%

Sample

1st row중앙방재(주)
2nd row혜성소방(주)
3rd row국제이엔지 주식회사
4th row경남소방설비(주)
5th row코리아이엔지(주)
ValueCountFrequency (%)
주식회사 50
 
15.1%
금강디엔에스(주 5
 
1.5%
주)케이플랜 4
 
1.2%
울산소방기술(주 4
 
1.2%
에코이엔지 4
 
1.2%
주)명성이엔지 4
 
1.2%
삼두종합기술(주 4
 
1.2%
현대방재엔지니어링(주 4
 
1.2%
화인씨앤엠 3
 
0.9%
주)안전문화재단기술사사무소 3
 
0.9%
Other values (209) 246
74.3%
2024-03-15T11:04:51.157521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
251
 
11.0%
( 194
 
8.5%
) 194
 
8.5%
84
 
3.7%
79
 
3.4%
74
 
3.2%
70
 
3.1%
68
 
3.0%
55
 
2.4%
55
 
2.4%
Other values (182) 1166
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1818
79.4%
Open Punctuation 194
 
8.5%
Close Punctuation 194
 
8.5%
Space Separator 55
 
2.4%
Uppercase Letter 16
 
0.7%
Decimal Number 6
 
0.3%
Lowercase Letter 5
 
0.2%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
251
 
13.8%
84
 
4.6%
79
 
4.3%
74
 
4.1%
70
 
3.9%
68
 
3.7%
55
 
3.0%
54
 
3.0%
50
 
2.8%
36
 
2.0%
Other values (161) 997
54.8%
Uppercase Letter
ValueCountFrequency (%)
I 3
18.8%
N 3
18.8%
L 2
12.5%
C 2
12.5%
F 1
 
6.2%
M 1
 
6.2%
H 1
 
6.2%
R 1
 
6.2%
S 1
 
6.2%
G 1
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
s 1
20.0%
e 1
20.0%
h 1
20.0%
w 1
20.0%
a 1
20.0%
Decimal Number
ValueCountFrequency (%)
1 4
66.7%
9 2
33.3%
Open Punctuation
ValueCountFrequency (%)
( 194
100.0%
Close Punctuation
ValueCountFrequency (%)
) 194
100.0%
Space Separator
ValueCountFrequency (%)
55
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1818
79.4%
Common 451
 
19.7%
Latin 21
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
251
 
13.8%
84
 
4.6%
79
 
4.3%
74
 
4.1%
70
 
3.9%
68
 
3.7%
55
 
3.0%
54
 
3.0%
50
 
2.8%
36
 
2.0%
Other values (161) 997
54.8%
Latin
ValueCountFrequency (%)
I 3
14.3%
N 3
14.3%
L 2
 
9.5%
C 2
 
9.5%
F 1
 
4.8%
M 1
 
4.8%
H 1
 
4.8%
R 1
 
4.8%
S 1
 
4.8%
G 1
 
4.8%
Other values (5) 5
23.8%
Common
ValueCountFrequency (%)
( 194
43.0%
) 194
43.0%
55
 
12.2%
1 4
 
0.9%
. 2
 
0.4%
9 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1818
79.4%
ASCII 472
 
20.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
251
 
13.8%
84
 
4.6%
79
 
4.3%
74
 
4.1%
70
 
3.9%
68
 
3.7%
55
 
3.0%
54
 
3.0%
50
 
2.8%
36
 
2.0%
Other values (161) 997
54.8%
ASCII
ValueCountFrequency (%)
( 194
41.1%
) 194
41.1%
55
 
11.7%
1 4
 
0.8%
I 3
 
0.6%
N 3
 
0.6%
. 2
 
0.4%
9 2
 
0.4%
L 2
 
0.4%
C 2
 
0.4%
Other values (11) 11
 
2.3%

주소
Text

Distinct209
Distinct (%)75.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-03-15T11:04:52.676402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length48
Mean length35.23913
Min length27

Characters and Unicode

Total characters9726
Distinct characters218
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

Unique169 ?
Unique (%)61.2%

Sample

1st row(44762) 울산광역시 남구 산업로517번길 19 (여천동) 4층
2nd row(44773) 울산광역시 남구 두왕로174번길 21 (선암동) C동 201호
3rd row(44698) 울산광역시 남구 삼산중로128번길 14-1 (삼산동) .
4th row(44703) 울산광역시 남구 번영로166번길 7 (달동) .
5th row(44722) 울산광역시 남구 신정로37번길 34 (달동) .
ValueCountFrequency (%)
울산광역시 275
 
14.5%
140
 
7.4%
남구 139
 
7.3%
울주군 58
 
3.1%
중구 48
 
2.5%
북구 28
 
1.5%
신정동 24
 
1.3%
삼산동 20
 
1.1%
2층 18
 
0.9%
달동 17
 
0.9%
Other values (553) 1132
59.6%
2024-03-15T11:04:54.732525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1662
 
17.1%
4 722
 
7.4%
( 514
 
5.3%
) 514
 
5.3%
387
 
4.0%
338
 
3.5%
1 338
 
3.5%
2 285
 
2.9%
277
 
2.8%
276
 
2.8%
Other values (208) 4413
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4243
43.6%
Decimal Number 2551
26.2%
Space Separator 1662
 
17.1%
Open Punctuation 514
 
5.3%
Close Punctuation 514
 
5.3%
Other Punctuation 169
 
1.7%
Dash Punctuation 68
 
0.7%
Uppercase Letter 3
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
387
 
9.1%
338
 
8.0%
277
 
6.5%
276
 
6.5%
276
 
6.5%
236
 
5.6%
226
 
5.3%
190
 
4.5%
178
 
4.2%
168
 
4.0%
Other values (189) 1691
39.9%
Decimal Number
ValueCountFrequency (%)
4 722
28.3%
1 338
13.2%
2 285
 
11.2%
7 215
 
8.4%
5 194
 
7.6%
6 181
 
7.1%
3 174
 
6.8%
0 153
 
6.0%
9 147
 
5.8%
8 142
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 89
52.7%
. 80
47.3%
Uppercase Letter
ValueCountFrequency (%)
W 2
66.7%
C 1
33.3%
Space Separator
ValueCountFrequency (%)
1662
100.0%
Open Punctuation
ValueCountFrequency (%)
( 514
100.0%
Close Punctuation
ValueCountFrequency (%)
) 514
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5478
56.3%
Hangul 4243
43.6%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
387
 
9.1%
338
 
8.0%
277
 
6.5%
276
 
6.5%
276
 
6.5%
236
 
5.6%
226
 
5.3%
190
 
4.5%
178
 
4.2%
168
 
4.0%
Other values (189) 1691
39.9%
Common
ValueCountFrequency (%)
1662
30.3%
4 722
13.2%
( 514
 
9.4%
) 514
 
9.4%
1 338
 
6.2%
2 285
 
5.2%
7 215
 
3.9%
5 194
 
3.5%
6 181
 
3.3%
3 174
 
3.2%
Other values (6) 679
12.4%
Latin
ValueCountFrequency (%)
e 2
40.0%
W 2
40.0%
C 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5483
56.4%
Hangul 4243
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1662
30.3%
4 722
13.2%
( 514
 
9.4%
) 514
 
9.4%
1 338
 
6.2%
2 285
 
5.2%
7 215
 
3.9%
5 194
 
3.5%
6 181
 
3.3%
3 174
 
3.2%
Other values (9) 684
12.5%
Hangul
ValueCountFrequency (%)
387
 
9.1%
338
 
8.0%
277
 
6.5%
276
 
6.5%
276
 
6.5%
236
 
5.6%
226
 
5.3%
190
 
4.5%
178
 
4.2%
168
 
4.0%
Other values (189) 1691
39.9%

Correlations

2024-03-15T11:04:55.117456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체구분세부구분
업체구분1.0000.863
세부구분0.8631.000
2024-03-15T11:04:55.360157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체구분세부구분
업체구분1.0000.720
세부구분0.7201.000
2024-03-15T11:04:55.597278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체구분세부구분
업체구분1.0000.720
세부구분0.7201.000

Missing values

2024-03-15T11:04:47.422404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T11:04:47.582017image/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

업체구분세부구분업체명주소
0소방시설공사업전문중앙방재(주)(44762) 울산광역시 남구 산업로517번길 19 (여천동) 4층
1소방시설공사업전문혜성소방(주)(44773) 울산광역시 남구 두왕로174번길 21 (선암동) C동 201호
2소방시설공사업전문국제이엔지 주식회사(44698) 울산광역시 남구 삼산중로128번길 14-1 (삼산동) .
3소방시설공사업전문경남소방설비(주)(44703) 울산광역시 남구 번영로166번길 7 (달동) .
4소방시설공사업전문코리아이엔지(주)(44722) 울산광역시 남구 신정로37번길 34 (달동) .
5소방시설공사업전문(주)일석(44254) 울산광역시 북구 명촌7길 5-3 (진장동) .
6소방시설공사업전문(주)천마(45015) 울산광역시 울주군 서생면 나사해안길 21 .
7소방시설공사업전문신일소방(주)(44416) 울산광역시 중구 함월20길 21 (성안동) .
8소방시설공사업전문(주)한일소방(44721) 울산광역시 남구 왕생로10번길 9 ()
9소방시설공사업전문금호전업(주)(44787) 울산광역시 남구 온산로 850 (두왕동) .
업체구분세부구분업체명주소
266소방시설공사업전문(주)태화기술(44973) 울산광역시 울주군 온양읍 태화6길 28 .
267소방시설공사업전문지엠텍 주식회사(44703) 울산광역시 남구 번영로156번길 20 (달동)
268소방시설설계업일반(기계)와이에스 엔지니어링(44511) 울산광역시 중구 서원4길 4 , 101호(복산동)
269소방시설설계업일반(전기)와이에스 엔지니어링(44511) 울산광역시 중구 서원4길 4 , 101호(복산동)
270소방시설공사업전문주식회사 대득건설(44716) 울산광역시 남구 산업로643번길 24 , 소현빌딩 201호(삼산동)
271소방시설공사업전문새암씨텍 주식회사(44959) 울산광역시 울주군 청량읍 군청로 10 , 3층
272소방시설공사업전문주식회사 큐브종합건설(44645) 울산광역시 남구 문수로 329 , 8층,9층(옥동, 에이블빌딩)
273소방시설공사업전문거래소방안전산업 주식회사(44641) 울산광역시 남구 남부순환도로29번길 36 ,1층 102호(무거동)
274소방시설공사업전문주식회사 일진파워(44998) 울산광역시 울주군 온산읍 산암로 42 .
275소방시설공사업전문주식회사 한울방재(44641) 울산광역시 남구 남부순환도로29번길 17 (무거동)

Duplicate rows

Most frequently occurring

업체구분세부구분업체명주소# duplicates
0소방시설설계업전문,전문,일반(전기),일반(전기),일반(전기),일반(기계),일반(기계),일반(기계)금강디엔에스(주)(44254) 울산광역시 북구 명촌21길 4-5 2층(진장동)3
1소빙시설감리업전문,일반(전기),일반(전기),일반(기계),일반(기계)한국IN엔지니어링(44748) 울산광역시 남구 중앙로 90 , 2층(신정동)2
2소빙시설감리업전문,전문,일반(전기),일반(전기),일반(전기),일반(기계),일반(기계),일반(기계)금강디엔에스(주)(44254) 울산광역시 북구 명촌21길 4-5 2층(진장동)2