Overview

Dataset statistics

Number of variables5
Number of observations27
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory44.9 B

Variable types

Text4
Categorical1

Dataset

Description충청북도 문화재 수리업체 현황에 관한 데이터입니다. 항목으로 소재지, 수리업종, 업체명, 연락처을 제공하고 있습니다
Author충청북도
URLhttps://www.data.go.kr/data/15090445/fileData.do

Alerts

연번 has unique valuesUnique
업체명 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2024-04-29 22:54:00.219249
Analysis finished2024-04-29 22:54:02.249752
Duration2.03 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-04-30T07:54:02.366441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length1.8888889
Min length1

Characters and Unicode

Total characters51
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

Unique27 ?
Unique (%)100.0%

Sample

1st row1
2nd row2
3rd row3,4
4th row5
5th row6
ValueCountFrequency (%)
1 1
 
3.7%
16 1
 
3.7%
28 1
 
3.7%
27 1
 
3.7%
26 1
 
3.7%
25 1
 
3.7%
24 1
 
3.7%
22,23 1
 
3.7%
21 1
 
3.7%
20 1
 
3.7%
Other values (17) 17
63.0%
2024-04-30T07:54:02.694545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 13
25.5%
2 13
25.5%
3 3
 
5.9%
4 3
 
5.9%
5 3
 
5.9%
6 3
 
5.9%
7 3
 
5.9%
8 3
 
5.9%
9 3
 
5.9%
, 2
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 49
96.1%
Other Punctuation 2
 
3.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 13
26.5%
2 13
26.5%
3 3
 
6.1%
4 3
 
6.1%
5 3
 
6.1%
6 3
 
6.1%
7 3
 
6.1%
8 3
 
6.1%
9 3
 
6.1%
0 2
 
4.1%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 51
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 13
25.5%
2 13
25.5%
3 3
 
5.9%
4 3
 
5.9%
5 3
 
5.9%
6 3
 
5.9%
7 3
 
5.9%
8 3
 
5.9%
9 3
 
5.9%
, 2
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 51
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 13
25.5%
2 13
25.5%
3 3
 
5.9%
4 3
 
5.9%
5 3
 
5.9%
6 3
 
5.9%
7 3
 
5.9%
8 3
 
5.9%
9 3
 
5.9%
, 2
 
3.9%

업체명
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-04-30T07:54:02.909973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length7.7407407
Min length4

Characters and Unicode

Total characters209
Distinct characters70
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

Unique27 ?
Unique (%)100.0%

Sample

1st row(주)고당
2nd row(주)송파
3rd row가람건설 주식회사
4th row서도건설 주식회사
5th row주식회사 성익
ValueCountFrequency (%)
주식회사 9
25.0%
주)고당 1
 
2.8%
원문화재 1
 
2.8%
㈜코드원 1
 
2.8%
㈜해오름문화재 1
 
2.8%
다물문화재보존분석센터 1
 
2.8%
㈜대한나무종합병원 1
 
2.8%
주)현대나무병원 1
 
2.8%
㈜건축사사무소한녹 1
 
2.8%
고당건축사사무소 1
 
2.8%
Other values (18) 18
50.0%
2024-04-30T07:54:03.224277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 16
 
7.7%
주 16
 
7.7%
건 11
 
5.3%
회 9
 
4.3%
식 9
 
4.3%
9
 
4.3%
화 8
 
3.8%
문 8
 
3.8%
㈜ 8
 
3.8%
설 7
 
3.3%
Other values (60) 108
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 178
85.2%
Space Separator 9
 
4.3%
Other Symbol 8
 
3.8%
Open Punctuation 7
 
3.3%
Close Punctuation 7
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 16
 
9.0%
주 16
 
9.0%
건 11
 
6.2%
회 9
 
5.1%
식 9
 
5.1%
화 8
 
4.5%
문 8
 
4.5%
설 7
 
3.9%
원 6
 
3.4%
무 5
 
2.8%
Other values (56) 83
46.6%
Space Separator
ValueCountFrequency (%)
9
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 186
89.0%
Common 23
 
11.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 16
 
8.6%
주 16
 
8.6%
건 11
 
5.9%
회 9
 
4.8%
식 9
 
4.8%
화 8
 
4.3%
문 8
 
4.3%
㈜ 8
 
4.3%
설 7
 
3.8%
원 6
 
3.2%
Other values (57) 88
47.3%
Common
ValueCountFrequency (%)
9
39.1%
( 7
30.4%
) 7
30.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 178
85.2%
ASCII 23
 
11.0%
None 8
 
3.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 16
 
9.0%
주 16
 
9.0%
건 11
 
6.2%
회 9
 
5.1%
식 9
 
5.1%
화 8
 
4.5%
문 8
 
4.5%
설 7
 
3.9%
원 6
 
3.4%
무 5
 
2.8%
Other values (56) 83
46.6%
ASCII
ValueCountFrequency (%)
9
39.1%
( 7
30.4%
) 7
30.4%
None
ValueCountFrequency (%)
㈜ 8
100.0%

수리업종
Categorical

Distinct7
Distinct (%)25.9%
Missing0
Missing (%)0.0%
Memory size348.0 B
보수단청업
15 
보존과학업
5 
실측설계업
2 
식물보호업
2 
보수단청업, 감리업
 
1
Other values (2)
2 

Length

Max length10
Median length5
Mean length5.2962963
Min length3

Unique

Unique3 ?
Unique (%)11.1%

Sample

1st row보수단청업
2nd row보수단청업
3rd row보수단청업, 감리업
4th row보수단청업
5th row보수단청업

Common Values

ValueCountFrequency (%)
보수단청업 15
55.6%
보존과학업 5
 
18.5%
실측설계업 2
 
7.4%
식물보호업 2
 
7.4%
보수단청업, 감리업 1
 
3.7%
실측설계업, 감리업 1
 
3.7%
감리업 1
 
3.7%

Length

2024-04-30T07:54:03.383175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:54:03.521898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보수단청업 16
55.2%
보존과학업 5
 
17.2%
실측설계업 3
 
10.3%
감리업 3
 
10.3%
식물보호업 2
 
6.9%

소재지
Text

Distinct26
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-04-30T07:54:03.753862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length33
Mean length24.333333
Min length14

Characters and Unicode

Total characters657
Distinct characters104
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

Unique25 ?
Unique (%)92.6%

Sample

1st row보은군 회인면 회인로 21
2nd row청주시 흥덕구 2순환로 1261번길 40(가경동)
3rd row청주시 흥덕구 사운로 278, 상가동 202호(운천동, 무지개아파트)
4th row괴산군 청천면 청천2길 5
5th row청주시 흥덕구 2순환로 1261번길 40(가경동)
ValueCountFrequency (%)
청주시 18
 
13.1%
서원구 6
 
4.4%
상당구 6
 
4.4%
흥덕구 5
 
3.6%
괴산군 3
 
2.2%
충주시 3
 
2.2%
40(가경동 2
 
1.5%
1261번길 2
 
1.5%
사운로 2
 
1.5%
상가동 2
 
1.5%
Other values (83) 88
64.2%
2024-04-30T07:54:04.139096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
111
 
16.9%
1 29
 
4.4%
2 27
 
4.1%
로 25
 
3.8%
주 22
 
3.3%
청 22
 
3.3%
시 22
 
3.3%
구 18
 
2.7%
동 17
 
2.6%
0 15
 
2.3%
Other values (94) 349
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 360
54.8%
Decimal Number 139
 
21.2%
Space Separator 111
 
16.9%
Close Punctuation 15
 
2.3%
Open Punctuation 15
 
2.3%
Other Punctuation 13
 
2.0%
Dash Punctuation 4
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 25
 
6.9%
주 22
 
6.1%
청 22
 
6.1%
시 22
 
6.1%
구 18
 
5.0%
동 17
 
4.7%
길 15
 
4.2%
번 13
 
3.6%
호 11
 
3.1%
층 10
 
2.8%
Other values (79) 185
51.4%
Decimal Number
ValueCountFrequency (%)
1 29
20.9%
2 27
19.4%
0 15
10.8%
4 14
10.1%
7 14
10.1%
5 11
 
7.9%
8 10
 
7.2%
6 7
 
5.0%
9 6
 
4.3%
3 6
 
4.3%
Space Separator
ValueCountFrequency (%)
111
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 360
54.8%
Common 297
45.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 25
 
6.9%
주 22
 
6.1%
청 22
 
6.1%
시 22
 
6.1%
구 18
 
5.0%
동 17
 
4.7%
길 15
 
4.2%
번 13
 
3.6%
호 11
 
3.1%
층 10
 
2.8%
Other values (79) 185
51.4%
Common
ValueCountFrequency (%)
111
37.4%
1 29
 
9.8%
2 27
 
9.1%
0 15
 
5.1%
) 15
 
5.1%
( 15
 
5.1%
4 14
 
4.7%
7 14
 
4.7%
, 13
 
4.4%
5 11
 
3.7%
Other values (5) 33
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 360
54.8%
ASCII 297
45.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
111
37.4%
1 29
 
9.8%
2 27
 
9.1%
0 15
 
5.1%
) 15
 
5.1%
( 15
 
5.1%
4 14
 
4.7%
7 14
 
4.7%
, 13
 
4.4%
5 11
 
3.7%
Other values (5) 33
 
11.1%
Hangul
ValueCountFrequency (%)
로 25
 
6.9%
주 22
 
6.1%
청 22
 
6.1%
시 22
 
6.1%
구 18
 
5.0%
동 17
 
4.7%
길 15
 
4.2%
번 13
 
3.6%
호 11
 
3.1%
층 10
 
2.8%
Other values (79) 185
51.4%

연락처
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-04-30T07:54:04.481603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12
Min length9

Characters and Unicode

Total characters324
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

Unique27 ?
Unique (%)100.0%

Sample

1st row043-543-8798
2nd row043-231-7403
3rd row043-272-8019
4th row043-294-5432
5th row043-235-7477
ValueCountFrequency (%)
043-543-8798 1
 
3.7%
070-5057-1319 1
 
3.7%
1661-6001 1
 
3.7%
070-8064-3922 1
 
3.7%
043-285-3327 1
 
3.7%
043-297-3660 1
 
3.7%
043-285-9355 1
 
3.7%
043-234-7799 1
 
3.7%
043-252-8005 1
 
3.7%
043-221-5007 1
 
3.7%
Other values (17) 17
63.0%
2024-04-30T07:54:04.810411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 53
16.4%
0 49
15.1%
3 44
13.6%
4 37
11.4%
2 26
8.0%
5 23
7.1%
7 21
 
6.5%
9 21
 
6.5%
8 19
 
5.9%
1 16
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 271
83.6%
Dash Punctuation 53
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 49
18.1%
3 44
16.2%
4 37
13.7%
2 26
9.6%
5 23
8.5%
7 21
7.7%
9 21
7.7%
8 19
 
7.0%
1 16
 
5.9%
6 15
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 324
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 53
16.4%
0 49
15.1%
3 44
13.6%
4 37
11.4%
2 26
8.0%
5 23
7.1%
7 21
 
6.5%
9 21
 
6.5%
8 19
 
5.9%
1 16
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 324
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 53
16.4%
0 49
15.1%
3 44
13.6%
4 37
11.4%
2 26
8.0%
5 23
7.1%
7 21
 
6.5%
9 21
 
6.5%
8 19
 
5.9%
1 16
 
4.9%

Correlations

2024-04-30T07:54:04.906225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업체명수리업종소재지연락처
연번1.0001.0001.0001.0001.000
업체명1.0001.0001.0001.0001.000
수리업종1.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.000

Missing values

2024-04-30T07:54:02.091793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-30T07:54:02.209117image/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

연번업체명수리업종소재지연락처
01(주)고당보수단청업보은군 회인면 회인로 21043-543-8798
12(주)송파보수단청업청주시 흥덕구 2순환로 1261번길 40(가경동)043-231-7403
23,4가람건설 주식회사보수단청업, 감리업청주시 흥덕구 사운로 278, 상가동 202호(운천동, 무지개아파트)043-272-8019
35서도건설 주식회사보수단청업괴산군 청천면 청천2길 5043-294-5432
46주식회사 성익보수단청업청주시 흥덕구 2순환로 1261번길 40(가경동)043-235-7477
57원창건설(주)보수단청업청주시 흥덕구 사운로 169-1 2층043-266-3901
68주식회사 승원보수단청업제천시 풍양로 70(명동 9-2)2층043-644-0072
79주식회사 양지사보수단청업충주시 동수7길 8(연수동)043-847-6411
810주식회사 명장건설보수단청업괴산군 청안면 광장로 594(제비동호)043-836-8952
911수아건설(주)보수단청업충주시 국원대로 210 칠화빌딩 5층043-855-5891
연번업체명수리업종소재지연락처
1719해동문화유산보존과학업괴산군 괴산읍 읍내로 267 2층(괴산읍 동부리 658-8)043-833-0563
1820㈜현석종합건축사사무소실측설계업청주시 상당구 상당로 144번길 25(수동)043-221-5007
1921고당건축사사무소실측설계업청주시 상당구 남사로84번길 37, 2층(남주동)043-252-8005
2022,23㈜건축사사무소한녹실측설계업, 감리업청주시 흥덕구 비하로12번길 14, 현대오피스텔 813호(비하동)043-234-7799
2124(주)현대나무병원식물보호업청주시 서원구 수곡로57번길 17, 2층043-285-9355
2225㈜대한나무종합병원식물보호업청주시 서원구 예체로67번길 73, 201호043-297-3660
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