Overview

Dataset statistics

Number of variables6
Number of observations108
Missing cells19
Missing cells (%)2.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.3 KiB
Average record size in memory50.2 B

Variable types

Numeric1
Text4
Categorical1

Dataset

Description수력산업협회 회원사 명부입니다. 현재 108개의 회원사가 수력산업협회에 등록되어있습니다. 앞으로도 추가 가입 예정입니다.
Author한국수력원자력(주)
URLhttps://www.data.go.kr/data/15101494/fileData.do

Alerts

웹사이트 has 14 (13.0%) missing valuesMissing
본사전화 has 5 (4.6%) missing valuesMissing
구분 has unique valuesUnique
기업명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:00:13.929889
Analysis finished2023-12-12 22:00:14.580814
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Real number (ℝ)

UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.5
Minimum1
Maximum108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T07:00:14.683767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.35
Q127.75
median54.5
Q381.25
95-th percentile102.65
Maximum108
Range107
Interquartile range (IQR)53.5

Descriptive statistics

Standard deviation31.32092
Coefficient of variation (CV)0.57469577
Kurtosis-1.2
Mean54.5
Median Absolute Deviation (MAD)27
Skewness0
Sum5886
Variance981
MonotonicityStrictly increasing
2023-12-13T07:00:14.878511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
70 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
76 1
 
0.9%
75 1
 
0.9%
74 1
 
0.9%
Other values (98) 98
90.7%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
108 1
0.9%
107 1
0.9%
106 1
0.9%
105 1
0.9%
104 1
0.9%
103 1
0.9%
102 1
0.9%
101 1
0.9%
100 1
0.9%
99 1
0.9%

기업명
Text

UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size996.0 B
2023-12-13T07:00:15.174040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length6.6574074
Min length3

Characters and Unicode

Total characters719
Distinct characters149
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
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)유신
2nd row한전KPS㈜
3rd row㈜이산
4th row옵티멀에너지서비스㈜
5th row㈜삼림엔지니어링
ValueCountFrequency (%)
주)유신 1
 
0.9%
㈜넥스트에너지코퍼레이션 1
 
0.9%
㈜솔브 1
 
0.9%
삼성크레인스㈜ 1
 
0.9%
피앤씨테크㈜ 1
 
0.9%
㈜해강에이스 1
 
0.9%
㈜오르비스 1
 
0.9%
금전기업㈜ 1
 
0.9%
호평중공업㈜ 1
 
0.9%
한국전력거래소 1
 
0.9%
Other values (98) 98
90.7%
2023-12-13T07:00:15.625651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 68
 
9.5%
( 32
 
4.5%
) 32
 
4.5%
스 29
 
4.0%
주 28
 
3.9%
이 25
 
3.5%
에 19
 
2.6%
기 17
 
2.4%
전 15
 
2.1%
지 13
 
1.8%
Other values (139) 441
61.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 582
80.9%
Other Symbol 68
 
9.5%
Open Punctuation 32
 
4.5%
Close Punctuation 32
 
4.5%
Uppercase Letter 3
 
0.4%
Space Separator 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 29
 
5.0%
주 28
 
4.8%
이 25
 
4.3%
에 19
 
3.3%
기 17
 
2.9%
전 15
 
2.6%
지 13
 
2.2%
산 13
 
2.2%
한 13
 
2.2%
업 12
 
2.1%
Other values (132) 398
68.4%
Uppercase Letter
ValueCountFrequency (%)
K 1
33.3%
P 1
33.3%
S 1
33.3%
Other Symbol
ValueCountFrequency (%)
㈜ 68
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 650
90.4%
Common 66
 
9.2%
Latin 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 68
 
10.5%
스 29
 
4.5%
주 28
 
4.3%
이 25
 
3.8%
에 19
 
2.9%
기 17
 
2.6%
전 15
 
2.3%
지 13
 
2.0%
산 13
 
2.0%
한 13
 
2.0%
Other values (133) 410
63.1%
Common
ValueCountFrequency (%)
( 32
48.5%
) 32
48.5%
2
 
3.0%
Latin
ValueCountFrequency (%)
K 1
33.3%
P 1
33.3%
S 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 582
80.9%
ASCII 69
 
9.6%
None 68
 
9.5%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 68
100.0%
ASCII
ValueCountFrequency (%)
( 32
46.4%
) 32
46.4%
2
 
2.9%
K 1
 
1.4%
P 1
 
1.4%
S 1
 
1.4%
Hangul
ValueCountFrequency (%)
스 29
 
5.0%
주 28
 
4.8%
이 25
 
4.3%
에 19
 
3.3%
기 17
 
2.9%
전 15
 
2.6%
지 13
 
2.2%
산 13
 
2.2%
한 13
 
2.2%
업 12
 
2.1%
Other values (132) 398
68.4%

주요분야
Categorical

Distinct7
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size996.0 B
전자/전기
34 
기계
26 
설계/연구
19 
정비/진단
19 
건설
8 
Other values (2)
 
2

Length

Max length6
Median length5
Mean length4.037037
Min length2

Unique

Unique2 ?
Unique (%)1.9%

Sample

1st row설계/연구
2nd row정비/진단
3rd row설계/연구
4th row정비/진단
5th row설계/연구

Common Values

ValueCountFrequency (%)
전자/전기 34
31.5%
기계 26
24.1%
설계/연구 19
17.6%
정비/진단 19
17.6%
건설 8
 
7.4%
운영 1
 
0.9%
운영정비진단 1
 
0.9%

Length

2023-12-13T07:00:15.791779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:00:15.945342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전자/전기 34
31.5%
기계 26
24.1%
설계/연구 19
17.6%
정비/진단 19
17.6%
건설 8
 
7.4%
운영 1
 
0.9%
운영정비진단 1
 
0.9%

업종
Text

Distinct107
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size996.0 B
2023-12-13T07:00:16.233181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length36
Mean length21.703704
Min length2

Characters and Unicode

Total characters2344
Distinct characters222
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique106 ?
Unique (%)98.1%

Sample

1st row설계기술용역/ 소프트웨어개발용역/ 학술 및 연구용역업/ 설계/ 감리용역
2nd row발전설비개보수공사/ 발전설비유지/ 점검정비수리/ 전력설비관련기자재 외
3rd row기술용역
4th row발전설비개보수공사/신재생에너지관련공사/발전설비점검유지
5th row토목 건축 설계업
ValueCountFrequency (%)
및 21
 
5.1%
외 17
 
4.1%
등 12
 
2.9%
전기공사 10
 
2.4%
9
 
2.2%
전동기 7
 
1.7%
제조 6
 
1.5%
임대 6
 
1.5%
발전기 6
 
1.5%
기술용역 6
 
1.5%
Other values (259) 310
75.6%
2023-12-13T07:00:16.730540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
310
 
13.2%
/ 198
 
8.4%
기 135
 
5.8%
전 98
 
4.2%
공 70
 
3.0%
사 65
 
2.8%
업 54
 
2.3%
설 53
 
2.3%
제 48
 
2.0%
비 44
 
1.9%
Other values (212) 1269
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1804
77.0%
Space Separator 310
 
13.2%
Other Punctuation 199
 
8.5%
Uppercase Letter 12
 
0.5%
Close Punctuation 7
 
0.3%
Open Punctuation 7
 
0.3%
Decimal Number 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 135
 
7.5%
전 98
 
5.4%
공 70
 
3.9%
사 65
 
3.6%
업 54
 
3.0%
설 53
 
2.9%
제 48
 
2.7%
비 44
 
2.4%
발 42
 
2.3%
어 36
 
2.0%
Other values (195) 1159
64.2%
Uppercase Letter
ValueCountFrequency (%)
C 3
25.0%
S 2
16.7%
V 2
16.7%
T 1
 
8.3%
N 1
 
8.3%
D 1
 
8.3%
W 1
 
8.3%
R 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
8 1
20.0%
1 1
20.0%
3 1
20.0%
Other Punctuation
ValueCountFrequency (%)
/ 198
99.5%
& 1
 
0.5%
Space Separator
ValueCountFrequency (%)
310
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1804
77.0%
Common 528
 
22.5%
Latin 12
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 135
 
7.5%
전 98
 
5.4%
공 70
 
3.9%
사 65
 
3.6%
업 54
 
3.0%
설 53
 
2.9%
제 48
 
2.7%
비 44
 
2.4%
발 42
 
2.3%
어 36
 
2.0%
Other values (195) 1159
64.2%
Common
ValueCountFrequency (%)
310
58.7%
/ 198
37.5%
) 7
 
1.3%
( 7
 
1.3%
2 2
 
0.4%
& 1
 
0.2%
8 1
 
0.2%
1 1
 
0.2%
3 1
 
0.2%
Latin
ValueCountFrequency (%)
C 3
25.0%
S 2
16.7%
V 2
16.7%
T 1
 
8.3%
N 1
 
8.3%
D 1
 
8.3%
W 1
 
8.3%
R 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1804
77.0%
ASCII 540
 
23.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
310
57.4%
/ 198
36.7%
) 7
 
1.3%
( 7
 
1.3%
C 3
 
0.6%
S 2
 
0.4%
2 2
 
0.4%
V 2
 
0.4%
& 1
 
0.2%
T 1
 
0.2%
Other values (7) 7
 
1.3%
Hangul
ValueCountFrequency (%)
기 135
 
7.5%
전 98
 
5.4%
공 70
 
3.9%
사 65
 
3.6%
업 54
 
3.0%
설 53
 
2.9%
제 48
 
2.7%
비 44
 
2.4%
발 42
 
2.3%
어 36
 
2.0%
Other values (195) 1159
64.2%

웹사이트
Text

MISSING 

Distinct94
Distinct (%)100.0%
Missing14
Missing (%)13.0%
Memory size996.0 B
2023-12-13T07:00:16.992021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length26
Mean length17.989362
Min length10

Characters and Unicode

Total characters1691
Distinct characters40
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique94 ?
Unique (%)100.0%

Sample

1st rowwww.yooshin.com
2nd rowhttps//www.kps.co.kr/
3rd rowwww.isaneng.co.kr
4th rowwww.oes.kr
5th rowhttp//www.samlimeng.com/
ValueCountFrequency (%)
www.gsenc.com 1
 
1.0%
www.oes.kr 1
 
1.0%
www.amitek.kr 1
 
1.0%
www.pnctech.co.kr 1
 
1.0%
https//orbis1.co.kr 1
 
1.0%
www.keumjeon.com 1
 
1.0%
https//kpx.or.kr 1
 
1.0%
www.raonvisual.co.kr 1
 
1.0%
www.kaif.or.kr 1
 
1.0%
www.newmoojin.com 1
 
1.0%
Other values (86) 86
89.6%
2023-12-13T07:00:17.379314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 263
15.6%
. 240
14.2%
o 140
 
8.3%
c 115
 
6.8%
r 92
 
5.4%
t 83
 
4.9%
e 82
 
4.8%
k 82
 
4.8%
/ 69
 
4.1%
n 67
 
4.0%
Other values (30) 458
27.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1352
80.0%
Other Punctuation 309
 
18.3%
Uppercase Letter 14
 
0.8%
Decimal Number 7
 
0.4%
Space Separator 5
 
0.3%
Dash Punctuation 4
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 263
19.5%
o 140
10.4%
c 115
 
8.5%
r 92
 
6.8%
t 83
 
6.1%
e 82
 
6.1%
k 82
 
6.1%
n 67
 
5.0%
s 58
 
4.3%
h 57
 
4.2%
Other values (14) 313
23.2%
Uppercase Letter
ValueCountFrequency (%)
W 4
28.6%
O 3
21.4%
T 1
 
7.1%
C 1
 
7.1%
S 1
 
7.1%
R 1
 
7.1%
E 1
 
7.1%
P 1
 
7.1%
M 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 4
57.1%
2 2
28.6%
3 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
. 240
77.7%
/ 69
 
22.3%
Space Separator
ValueCountFrequency (%)
5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1366
80.8%
Common 325
 
19.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 263
19.3%
o 140
10.2%
c 115
 
8.4%
r 92
 
6.7%
t 83
 
6.1%
e 82
 
6.0%
k 82
 
6.0%
n 67
 
4.9%
s 58
 
4.2%
h 57
 
4.2%
Other values (23) 327
23.9%
Common
ValueCountFrequency (%)
. 240
73.8%
/ 69
 
21.2%
5
 
1.5%
- 4
 
1.2%
1 4
 
1.2%
2 2
 
0.6%
3 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1691
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 263
15.6%
. 240
14.2%
o 140
 
8.3%
c 115
 
6.8%
r 92
 
5.4%
t 83
 
4.9%
e 82
 
4.8%
k 82
 
4.8%
/ 69
 
4.1%
n 67
 
4.0%
Other values (30) 458
27.1%

본사전화
Text

MISSING 

Distinct103
Distinct (%)100.0%
Missing5
Missing (%)4.6%
Memory size996.0 B
2023-12-13T07:00:17.656554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.84466
Min length11

Characters and Unicode

Total characters1220
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique103 ?
Unique (%)100.0%

Sample

1st row02-6202-0114
2nd row061-345-0114
3rd row031-389-0114
4th row02-786-3277
5th row02-403-0951
ValueCountFrequency (%)
02-6202-0114 1
 
1.0%
031-389-0114 1
 
1.0%
062-975-7168 1
 
1.0%
055-337-0767 1
 
1.0%
031-739-6100 1
 
1.0%
063-546-9933 1
 
1.0%
032-858-9858 1
 
1.0%
061-330-8100 1
 
1.0%
02-2088-7626 1
 
1.0%
02-6257-2570 1
 
1.0%
Other values (94) 94
90.4%
2023-12-13T07:00:18.107420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 206
16.9%
0 203
16.6%
2 134
11.0%
1 129
10.6%
3 102
8.4%
5 93
7.6%
6 78
 
6.4%
4 77
 
6.3%
7 76
 
6.2%
8 72
 
5.9%
Other values (2) 50
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1012
83.0%
Dash Punctuation 206
 
16.9%
Space Separator 2
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 203
20.1%
2 134
13.2%
1 129
12.7%
3 102
10.1%
5 93
9.2%
6 78
 
7.7%
4 77
 
7.6%
7 76
 
7.5%
8 72
 
7.1%
9 48
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 206
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1220
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 206
16.9%
0 203
16.6%
2 134
11.0%
1 129
10.6%
3 102
8.4%
5 93
7.6%
6 78
 
6.4%
4 77
 
6.3%
7 76
 
6.2%
8 72
 
5.9%
Other values (2) 50
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1220
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 206
16.9%
0 203
16.6%
2 134
11.0%
1 129
10.6%
3 102
8.4%
5 93
7.6%
6 78
 
6.4%
4 77
 
6.3%
7 76
 
6.2%
8 72
 
5.9%
Other values (2) 50
 
4.1%

Interactions

2023-12-13T07:00:14.231778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:00:18.231502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분주요분야웹사이트
구분1.0000.3641.000
주요분야0.3641.0001.000
웹사이트1.0001.0001.000
2023-12-13T07:00:18.332429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분주요분야
구분1.0000.189
주요분야0.1891.000

Missing values

2023-12-13T07:00:14.339138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:00:14.450892image/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.
2023-12-13T07:00:14.533124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

구분기업명주요분야업종웹사이트본사전화
01(주)유신설계/연구설계기술용역/ 소프트웨어개발용역/ 학술 및 연구용역업/ 설계/ 감리용역www.yooshin.com02-6202-0114
12한전KPS㈜정비/진단발전설비개보수공사/ 발전설비유지/ 점검정비수리/ 전력설비관련기자재 외https//www.kps.co.kr/061-345-0114
23㈜이산설계/연구기술용역www.isaneng.co.kr031-389-0114
34옵티멀에너지서비스㈜정비/진단발전설비개보수공사/신재생에너지관련공사/발전설비점검유지www.oes.kr02-786-3277
45㈜삼림엔지니어링설계/연구토목 건축 설계업http//www.samlimeng.com/02-403-0951
56㈜아이티알설계/연구연구개발<NA>042-716-3076
67㈜오앤엠코리아정비/진단엔지니어링 서비스업www.onmkorea.com042-257-5600
78㈜수산인더스트리정비/진단전기공사 발전설비보수공사 외http//www.soosanind.co.kr041-554-1541
89㈜삼안설계/연구기술용역 / 태양광발전 / 보링그라우딩공사 / 임대 / 학술연구용역www.samaneng.co.kr.02-6488-8000
910벽산엔지니어링(주)설계/연구기술용역/ 일반건설/ 주택건설www.bseng.co.kr02-767-5645
구분기업명주요분야업종웹사이트본사전화
9899네오스(주)기계하이브리드 필터링 시스템/ 오일 스키머 & 유수 분리기www.neosfil.com055-289-7733
99100롯데건설㈜건설종합건설(토목/건축/기계/전기공사)/분양/콘크리트 제조/부동산 임대 등 종합 건설업체http//www.lottecon.co.kr/02-3480-9114
100101㈜드림테크정비/진단CCTV 및 NVR 제조 외/ 정보통신공사업www.mydreamtech.co.kr<NA>
101102디아이케미칼(주)기계자동차부품<NA><NA>
102103자인테크놀로지㈜전자/전기수도계량기/ 유량계/ 자동제어기기 외www.jain.co.kr02-856-4114
103104효성중공업(주)전자/전기변압기/ 전동기/ 차단기/ 발전기/ 선철주물/ 주조/ 산업기계공사www.hyosungheavyindustries.com02-707-6345
104105㈜에이피엠테크놀러지스전자/전기기타전기장비/ 계측제어장비/ 전기설비 시험 분석 연구개발/ 전기설비진단www.apmtech.co.kr02-545-6286
105106(주)파워토스정비/진단전력설비설계 및 용역감리 외WWW.POWERTOS.COM<NA>
106107㈜솔텍시스템전자/전기소프트웨어개발외www.soltechsys.co.kr02-2025-8500
107108(주)오토콘시스템전자/전기산업처리자동측정및제어장비www.autoconsystem.co.kr031-303-8866