Overview

Dataset statistics

Number of variables7
Number of observations108
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.0 KiB
Average record size in memory57.2 B

Variable types

Text4
Categorical2
DateTime1

Dataset

Description경상북도 시설물의 안전 점검 또는 성능평가를 대행하는 기관으로 기술능력 및 장비 등의 등록기준을 갖추어 등록증을 발급 받은 기관 현황입니다.
Author경상북도
URLhttps://www.data.go.kr/data/15071137/fileData.do

Alerts

등록상태 has constant value ""Constant
업체명 has unique valuesUnique
소재지 has unique valuesUnique
업체코드 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:03:59.287138
Analysis finished2023-12-12 04:03:59.710863
Duration0.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size996.0 B
2023-12-12T13:03:59.878120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length10.157407
Min length5

Characters and Unicode

Total characters1097
Distinct characters131
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique108 ?
Unique (%)100.0%

Sample

1st row(주) 가람이엔씨
2nd row(주)강동건설엔지니어링
3rd row(주)건보건설기술단
4th row(주)건축사사무소 반석
5th row(주)광명기술단
ValueCountFrequency (%)
주식회사 19
 
14.4%
주 2
 
1.5%
가람이엔씨 2
 
1.5%
주)강동건설엔지니어링 1
 
0.8%
선율엔지니어링(주 1
 
0.8%
삼우토목이앤지(주 1
 
0.8%
명보산업개발(주 1
 
0.8%
동아컨설탄트(주 1
 
0.8%
극동엔지니어링(주 1
 
0.8%
건설기술원(주 1
 
0.8%
Other values (102) 102
77.3%
2023-12-12T13:04:00.307557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 111
 
10.1%
( 87
 
7.9%
) 87
 
7.9%
사 44
 
4.0%
엔 42
 
3.8%
지 34
 
3.1%
이 32
 
2.9%
어 30
 
2.7%
링 30
 
2.7%
니 30
 
2.7%
Other values (121) 570
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 893
81.4%
Open Punctuation 87
 
7.9%
Close Punctuation 87
 
7.9%
Space Separator 24
 
2.2%
Uppercase Letter 4
 
0.4%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 111
 
12.4%
사 44
 
4.9%
엔 42
 
4.7%
지 34
 
3.8%
이 32
 
3.6%
어 30
 
3.4%
링 30
 
3.4%
니 30
 
3.4%
기 26
 
2.9%
술 25
 
2.8%
Other values (114) 489
54.8%
Uppercase Letter
ValueCountFrequency (%)
C 2
50.0%
S 1
25.0%
E 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 87
100.0%
Close Punctuation
ValueCountFrequency (%)
) 87
100.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 893
81.4%
Common 200
 
18.2%
Latin 4
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 111
 
12.4%
사 44
 
4.9%
엔 42
 
4.7%
지 34
 
3.8%
이 32
 
3.6%
어 30
 
3.4%
링 30
 
3.4%
니 30
 
3.4%
기 26
 
2.9%
술 25
 
2.8%
Other values (114) 489
54.8%
Common
ValueCountFrequency (%)
( 87
43.5%
) 87
43.5%
24
 
12.0%
& 2
 
1.0%
Latin
ValueCountFrequency (%)
C 2
50.0%
S 1
25.0%
E 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 893
81.4%
ASCII 204
 
18.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 111
 
12.4%
사 44
 
4.9%
엔 42
 
4.7%
지 34
 
3.8%
이 32
 
3.6%
어 30
 
3.4%
링 30
 
3.4%
니 30
 
3.4%
기 26
 
2.9%
술 25
 
2.8%
Other values (114) 489
54.8%
ASCII
ValueCountFrequency (%)
( 87
42.6%
) 87
42.6%
24
 
11.8%
& 2
 
1.0%
C 2
 
1.0%
S 1
 
0.5%
E 1
 
0.5%

등록분야
Categorical

Distinct8
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size996.0 B
교량,터널
33 
교량,터널,수리시설
29 
건축
25 
교량,터널,건축,수리시설
11 
교량,터널,건축
6 
Other values (3)
4 

Length

Max length13
Median length10
Mean length6.7037037
Min length2

Unique

Unique2 ?
Unique (%)1.9%

Sample

1st row교량,터널,건축
2nd row교량,터널,수리시설
3rd row교량,터널
4th row건축
5th row교량,터널,수리시설

Common Values

ValueCountFrequency (%)
교량,터널 33
30.6%
교량,터널,수리시설 29
26.9%
건축 25
23.1%
교량,터널,건축,수리시설 11
 
10.2%
교량,터널,건축 6
 
5.6%
수리시설 2
 
1.9%
교량,터널,항만,수리시설 1
 
0.9%
건축,수리시설 1
 
0.9%

Length

2023-12-12T13:04:00.478403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:04:00.621480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교량,터널 33
30.6%
교량,터널,수리시설 29
26.9%
건축 25
23.1%
교량,터널,건축,수리시설 11
 
10.2%
교량,터널,건축 6
 
5.6%
수리시설 2
 
1.9%
교량,터널,항만,수리시설 1
 
0.9%
건축,수리시설 1
 
0.9%

소재지
Text

UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size996.0 B
2023-12-12T13:04:00.920035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length35
Mean length28.435185
Min length18

Characters and Unicode

Total characters3071
Distinct characters195
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique108 ?
Unique (%)100.0%

Sample

1st row경상북도 포항시 남구 중앙로121번길 14-1(대도동) 2층
2nd row경상북도 김천시 시청6길 8-8 (신음동, 2층)
3rd row경상북도 포항시 남구 상도로 65 (상도동)
4th row경상북도 구미시 송원서로 96, 3층 (원평동)
5th row경상북도 경주시 양정로 222, 303호 (동천동)
ValueCountFrequency (%)
경상북도 108
 
16.5%
경산시 25
 
3.8%
2층 22
 
3.4%
포항시 20
 
3.1%
남구 16
 
2.4%
구미시 12
 
1.8%
3층 11
 
1.7%
경주시 9
 
1.4%
안동시 8
 
1.2%
201호 7
 
1.1%
Other values (309) 416
63.6%
2023-12-12T13:04:01.414415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
550
 
17.9%
경 157
 
5.1%
상 125
 
4.1%
1 121
 
3.9%
도 120
 
3.9%
북 117
 
3.8%
2 108
 
3.5%
동 104
 
3.4%
시 100
 
3.3%
, 92
 
3.0%
Other values (185) 1477
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1734
56.5%
Space Separator 550
 
17.9%
Decimal Number 507
 
16.5%
Other Punctuation 92
 
3.0%
Close Punctuation 76
 
2.5%
Open Punctuation 76
 
2.5%
Dash Punctuation 28
 
0.9%
Uppercase Letter 5
 
0.2%
Lowercase Letter 2
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 157
 
9.1%
상 125
 
7.2%
도 120
 
6.9%
북 117
 
6.7%
동 104
 
6.0%
시 100
 
5.8%
로 80
 
4.6%
길 61
 
3.5%
층 49
 
2.8%
산 38
 
2.2%
Other values (163) 783
45.2%
Decimal Number
ValueCountFrequency (%)
1 121
23.9%
2 108
21.3%
3 70
13.8%
0 48
 
9.5%
6 36
 
7.1%
4 36
 
7.1%
5 33
 
6.5%
7 22
 
4.3%
8 17
 
3.4%
9 16
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
F 2
40.0%
J 1
20.0%
C 1
20.0%
S 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
n 1
50.0%
i 1
50.0%
Space Separator
ValueCountFrequency (%)
550
100.0%
Other Punctuation
ValueCountFrequency (%)
, 92
100.0%
Close Punctuation
ValueCountFrequency (%)
) 76
100.0%
Open Punctuation
ValueCountFrequency (%)
( 76
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1734
56.5%
Common 1330
43.3%
Latin 7
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 157
 
9.1%
상 125
 
7.2%
도 120
 
6.9%
북 117
 
6.7%
동 104
 
6.0%
시 100
 
5.8%
로 80
 
4.6%
길 61
 
3.5%
층 49
 
2.8%
산 38
 
2.2%
Other values (163) 783
45.2%
Common
ValueCountFrequency (%)
550
41.4%
1 121
 
9.1%
2 108
 
8.1%
, 92
 
6.9%
) 76
 
5.7%
( 76
 
5.7%
3 70
 
5.3%
0 48
 
3.6%
6 36
 
2.7%
4 36
 
2.7%
Other values (6) 117
 
8.8%
Latin
ValueCountFrequency (%)
F 2
28.6%
n 1
14.3%
J 1
14.3%
i 1
14.3%
C 1
14.3%
S 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1734
56.5%
ASCII 1337
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
550
41.1%
1 121
 
9.1%
2 108
 
8.1%
, 92
 
6.9%
) 76
 
5.7%
( 76
 
5.7%
3 70
 
5.2%
0 48
 
3.6%
6 36
 
2.7%
4 36
 
2.7%
Other values (12) 124
 
9.3%
Hangul
ValueCountFrequency (%)
경 157
 
9.1%
상 125
 
7.2%
도 120
 
6.9%
북 117
 
6.7%
동 104
 
6.0%
시 100
 
5.8%
로 80
 
4.6%
길 61
 
3.5%
층 49
 
2.8%
산 38
 
2.2%
Other values (163) 783
45.2%

대표전화번호
Text

Distinct106
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size996.0 B
2023-12-12T13:04:01.741495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.055556
Min length12

Characters and Unicode

Total characters1302
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

Unique104 ?
Unique (%)96.3%

Sample

1st row054-771-0998
2nd row070-8852-3482
3rd row054-282-4510
4th row054-458-4477
5th row070-7580-6233
ValueCountFrequency (%)
054-254-8888 2
 
1.9%
053-958-8611 2
 
1.9%
054-655-0076 1
 
0.9%
054-275-8801 1
 
0.9%
054-771-0998 1
 
0.9%
054-843-0536 1
 
0.9%
054-472-5909 1
 
0.9%
053-851-9556 1
 
0.9%
053-811-6940 1
 
0.9%
032-421-5805 1
 
0.9%
Other values (96) 96
88.9%
2023-12-12T13:04:02.314496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 216
16.6%
0 188
14.4%
5 173
13.3%
3 123
9.4%
4 114
8.8%
2 96
7.4%
7 90
6.9%
8 89
6.8%
1 81
 
6.2%
9 66
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1086
83.4%
Dash Punctuation 216
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 188
17.3%
5 173
15.9%
3 123
11.3%
4 114
10.5%
2 96
8.8%
7 90
8.3%
8 89
8.2%
1 81
7.5%
9 66
 
6.1%
6 66
 
6.1%
Dash Punctuation
ValueCountFrequency (%)
- 216
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1302
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 216
16.6%
0 188
14.4%
5 173
13.3%
3 123
9.4%
4 114
8.8%
2 96
7.4%
7 90
6.9%
8 89
6.8%
1 81
 
6.2%
9 66
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1302
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 216
16.6%
0 188
14.4%
5 173
13.3%
3 123
9.4%
4 114
8.8%
2 96
7.4%
7 90
6.9%
8 89
6.8%
1 81
 
6.2%
9 66
 
5.1%

등록일자
Date

Distinct104
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size996.0 B
Minimum1996-08-22 00:00:00
Maximum2021-05-14 00:00:00
2023-12-12T13:04:02.487009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:04:02.636293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

등록상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size996.0 B
정상
108 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 108
100.0%

Length

2023-12-12T13:04:02.822374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:04:02.927204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 108
100.0%

업체코드
Text

UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size996.0 B
2023-12-12T13:04:03.273489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters648
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique108 ?
Unique (%)100.0%

Sample

1st rowE01079
2nd rowE01183
3rd rowE00992
4th rowE01494
5th rowE01333
ValueCountFrequency (%)
e01079 1
 
0.9%
e00948 1
 
0.9%
e01751 1
 
0.9%
e01686 1
 
0.9%
e01465 1
 
0.9%
e01785 1
 
0.9%
e01415 1
 
0.9%
e01519 1
 
0.9%
e01601 1
 
0.9%
e00200 1
 
0.9%
Other values (98) 98
90.7%
2023-12-12T13:04:03.833246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 175
27.0%
E 108
16.7%
1 101
15.6%
5 38
 
5.9%
2 37
 
5.7%
3 37
 
5.7%
4 33
 
5.1%
8 33
 
5.1%
7 30
 
4.6%
9 28
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 540
83.3%
Uppercase Letter 108
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 175
32.4%
1 101
18.7%
5 38
 
7.0%
2 37
 
6.9%
3 37
 
6.9%
4 33
 
6.1%
8 33
 
6.1%
7 30
 
5.6%
9 28
 
5.2%
6 28
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
E 108
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 540
83.3%
Latin 108
 
16.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 175
32.4%
1 101
18.7%
5 38
 
7.0%
2 37
 
6.9%
3 37
 
6.9%
4 33
 
6.1%
8 33
 
6.1%
7 30
 
5.6%
9 28
 
5.2%
6 28
 
5.2%
Latin
ValueCountFrequency (%)
E 108
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 648
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 175
27.0%
E 108
16.7%
1 101
15.6%
5 38
 
5.9%
2 37
 
5.7%
3 37
 
5.7%
4 33
 
5.1%
8 33
 
5.1%
7 30
 
4.6%
9 28
 
4.3%

Missing values

2023-12-12T13:03:59.558789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:03:59.668177image/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

업체명등록분야소재지대표전화번호등록일자등록상태업체코드
0(주) 가람이엔씨교량,터널,건축경상북도 포항시 남구 중앙로121번길 14-1(대도동) 2층054-771-09982014-09-05정상E01079
1(주)강동건설엔지니어링교량,터널,수리시설경상북도 김천시 시청6길 8-8 (신음동, 2층)070-8852-34822015-07-31정상E01183
2(주)건보건설기술단교량,터널경상북도 포항시 남구 상도로 65 (상도동)054-282-45102014-02-14정상E00992
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