Overview

Dataset statistics

Number of variables4
Number of observations279
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.1 KiB
Average record size in memory33.5 B

Variable types

Text3
Numeric1

Dataset

Description2021년도 한국전력공사 전국 사업소 사업장명, 주소, 대표번호에 대한 정보를 확인하실 수 있으십니다. 자세한 내용은 한전 사이버지점을 통해 확인하실 수 있으십니다.
Author한국전력공사
URLhttps://www.data.go.kr/data/15090640/fileData.do

Reproduction

Analysis started2023-12-12 19:55:20.937380
Analysis finished2023-12-12 19:55:21.544580
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명
Text

Distinct265
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-13T04:55:21.788880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length4
Mean length4.8351254
Min length2

Characters and Unicode

Total characters1349
Distinct characters154
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique263 ?
Unique (%)94.3%

Sample

1st row본사
2nd row한국전력학원
3rd row인재개발원
4th row수안보연수원
5th row속초연수원
ValueCountFrequency (%)
전력관리처 14
 
4.9%
고성지사 2
 
0.7%
사 2
 
0.7%
지 2
 
0.7%
서 2
 
0.7%
구례지사 1
 
0.3%
장흥지사 1
 
0.3%
완도지사 1
 
0.3%
진도지사 1
 
0.3%
담양지사 1
 
0.3%
Other values (260) 260
90.6%
2023-12-13T04:55:22.278658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 239
17.7%
지 234
17.3%
전 71
 
5.3%
력 63
 
4.7%
부 36
 
2.7%
산 33
 
2.4%
주 27
 
2.0%
천 25
 
1.9%
서 21
 
1.6%
본 20
 
1.5%
Other values (144) 580
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1340
99.3%
Space Separator 9
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 239
17.8%
지 234
17.5%
전 71
 
5.3%
력 63
 
4.7%
부 36
 
2.7%
산 33
 
2.5%
주 27
 
2.0%
천 25
 
1.9%
서 21
 
1.6%
본 20
 
1.5%
Other values (143) 571
42.6%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1340
99.3%
Common 9
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 239
17.8%
지 234
17.5%
전 71
 
5.3%
력 63
 
4.7%
부 36
 
2.7%
산 33
 
2.5%
주 27
 
2.0%
천 25
 
1.9%
서 21
 
1.6%
본 20
 
1.5%
Other values (143) 571
42.6%
Common
ValueCountFrequency (%)
9
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1340
99.3%
ASCII 9
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 239
17.8%
지 234
17.5%
전 71
 
5.3%
력 63
 
4.7%
부 36
 
2.7%
산 33
 
2.5%
주 27
 
2.0%
천 25
 
1.9%
서 21
 
1.6%
본 20
 
1.5%
Other values (143) 571
42.6%
ASCII
ValueCountFrequency (%)
9
100.0%

우편번호
Real number (ℝ)

Distinct260
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34001.341
Minimum1132
Maximum63566
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2023-12-13T04:55:22.468843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1132
5-th percentile6179.6
Q119933.5
median34056
Q351137
95-th percentile59204.9
Maximum63566
Range62434
Interquartile range (IQR)31203.5

Descriptive statistics

Standard deviation17616.901
Coefficient of variation (CV)0.51812373
Kurtosis-1.1670338
Mean34001.341
Median Absolute Deviation (MAD)16276
Skewness-0.076127408
Sum9486374
Variance3.1035521 × 108
MonotonicityNot monotonic
2023-12-13T04:55:22.633262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7336 3
 
1.1%
6732 3
 
1.1%
52782 2
 
0.7%
11785 2
 
0.7%
47296 2
 
0.7%
61981 2
 
0.7%
4629 2
 
0.7%
21330 2
 
0.7%
34537 2
 
0.7%
54809 2
 
0.7%
Other values (250) 257
92.1%
ValueCountFrequency (%)
1132 1
0.4%
1450 1
0.4%
1689 1
0.4%
1793 1
0.4%
2045 1
0.4%
3382 1
0.4%
4082 1
0.4%
4158 1
0.4%
4534 1
0.4%
4629 2
0.7%
ValueCountFrequency (%)
63566 1
0.4%
63211 1
0.4%
63121 1
0.4%
62390 1
0.4%
61981 2
0.7%
61928 1
0.4%
61130 1
0.4%
61046 1
0.4%
59697 1
0.4%
59535 1
0.4%

주소
Text

Distinct266
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-13T04:55:23.028970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length31
Mean length18.505376
Min length12

Characters and Unicode

Total characters5163
Distinct characters274
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique254 ?
Unique (%)91.0%

Sample

1st row전라남도 나주시 전력로 55
2nd row서울특별시 강남구 개포로 410 수도전기공업고등학교
3rd row서울특별시 노원구 노원로 130
4th row충북 충주시 수안보면 조산공원길 64
5th row강원도 속초시 온천로 87
ValueCountFrequency (%)
경기도 42
 
3.2%
경북 30
 
2.3%
서울특별시 28
 
2.2%
전남 25
 
1.9%
강원도 25
 
1.9%
경남 24
 
1.8%
충남 17
 
1.3%
전북 17
 
1.3%
충북 16
 
1.2%
부산광역시 13
 
1.0%
Other values (807) 1061
81.7%
2023-12-13T04:55:23.558688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1030
 
19.9%
로 236
 
4.6%
시 203
 
3.9%
1 186
 
3.6%
구 121
 
2.3%
2 120
 
2.3%
경 107
 
2.1%
3 104
 
2.0%
남 100
 
1.9%
군 95
 
1.8%
Other values (264) 2861
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3203
62.0%
Space Separator 1030
 
19.9%
Decimal Number 875
 
16.9%
Dash Punctuation 32
 
0.6%
Other Punctuation 6
 
0.1%
Uppercase Letter 5
 
0.1%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%
Math Symbol 3
 
0.1%
Final Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 236
 
7.4%
시 203
 
6.3%
구 121
 
3.8%
경 107
 
3.3%
남 100
 
3.1%
군 95
 
3.0%
도 87
 
2.7%
읍 87
 
2.7%
길 82
 
2.6%
북 81
 
2.5%
Other values (240) 2004
62.6%
Decimal Number
ValueCountFrequency (%)
1 186
21.3%
2 120
13.7%
3 104
11.9%
6 82
9.4%
4 77
8.8%
5 76
8.7%
7 69
 
7.9%
0 63
 
7.2%
9 50
 
5.7%
8 48
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
X 1
20.0%
E 1
20.0%
L 1
20.0%
P 1
20.0%
T 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 3
50.0%
. 2
33.3%
? 1
 
16.7%
Space Separator
ValueCountFrequency (%)
1030
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3203
62.0%
Common 1955
37.9%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 236
 
7.4%
시 203
 
6.3%
구 121
 
3.8%
경 107
 
3.3%
남 100
 
3.1%
군 95
 
3.0%
도 87
 
2.7%
읍 87
 
2.7%
길 82
 
2.6%
북 81
 
2.5%
Other values (240) 2004
62.6%
Common
ValueCountFrequency (%)
1030
52.7%
1 186
 
9.5%
2 120
 
6.1%
3 104
 
5.3%
6 82
 
4.2%
4 77
 
3.9%
5 76
 
3.9%
7 69
 
3.5%
0 63
 
3.2%
9 50
 
2.6%
Other values (9) 98
 
5.0%
Latin
ValueCountFrequency (%)
X 1
20.0%
E 1
20.0%
L 1
20.0%
P 1
20.0%
T 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3203
62.0%
ASCII 1959
37.9%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1030
52.6%
1 186
 
9.5%
2 120
 
6.1%
3 104
 
5.3%
6 82
 
4.2%
4 77
 
3.9%
5 76
 
3.9%
7 69
 
3.5%
0 63
 
3.2%
9 50
 
2.6%
Other values (13) 102
 
5.2%
Hangul
ValueCountFrequency (%)
로 236
 
7.4%
시 203
 
6.3%
구 121
 
3.8%
경 107
 
3.3%
남 100
 
3.1%
군 95
 
3.0%
도 87
 
2.7%
읍 87
 
2.7%
길 82
 
2.6%
북 81
 
2.5%
Other values (240) 2004
62.6%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%

국선전화
Text

Distinct275
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-13T04:55:23.926470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.971326
Min length10

Characters and Unicode

Total characters3061
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

Unique271 ?
Unique (%)97.1%

Sample

1st row61-345-3114
2nd row70-4673-9922
3rd row2-970-3211
4th row43-840-2011
5th row33-639-5605
ValueCountFrequency (%)
55-717-2321 2
 
0.7%
51-604-5321 2
 
0.7%
42-620-2321 2
 
0.7%
2-787-8321 2
 
0.7%
61-860-2210 1
 
0.4%
62-260-5611 1
 
0.4%
61-780-1210 1
 
0.4%
61-320-0210 1
 
0.4%
61-360-1210 1
 
0.4%
61-540-2210 1
 
0.4%
Other values (265) 265
95.0%
2023-12-13T04:55:24.561875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 558
18.2%
1 467
15.3%
2 462
15.1%
3 424
13.9%
0 282
9.2%
5 270
8.8%
4 190
 
6.2%
6 147
 
4.8%
7 102
 
3.3%
8 83
 
2.7%
Other values (2) 76
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2501
81.7%
Dash Punctuation 558
 
18.2%
Space Separator 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 467
18.7%
2 462
18.5%
3 424
17.0%
0 282
11.3%
5 270
10.8%
4 190
7.6%
6 147
 
5.9%
7 102
 
4.1%
8 83
 
3.3%
9 74
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 558
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3061
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 558
18.2%
1 467
15.3%
2 462
15.1%
3 424
13.9%
0 282
9.2%
5 270
8.8%
4 190
 
6.2%
6 147
 
4.8%
7 102
 
3.3%
8 83
 
2.7%
Other values (2) 76
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3061
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 558
18.2%
1 467
15.3%
2 462
15.1%
3 424
13.9%
0 282
9.2%
5 270
8.8%
4 190
 
6.2%
6 147
 
4.8%
7 102
 
3.3%
8 83
 
2.7%
Other values (2) 76
 
2.5%

Interactions

2023-12-13T04:55:21.209712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-13T04:55:21.387105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:55:21.500128image/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

사업장명우편번호주소국선전화
0본사58322전라남도 나주시 전력로 5561-345-3114
1한국전력학원6324서울특별시 강남구 개포로 410 수도전기공업고등학교70-4673-9922
2인재개발원1793서울특별시 노원구 노원로 1302-970-3211
3수안보연수원27497충북 충주시 수안보면 조산공원길 6443-840-2011
4속초연수원24864강원도 속초시 온천로 8733-639-5605
5한일병원1450서울특별시 도봉구 우이천로 3082-901-3114
6전력연구원34056대전광역시 유성구 문지로 10542-865-5021
7설비진단처34056대전광역시 유성구 문지로 105 제1연구동42-869-8021
8자재검사처16029경기도 의왕시 학의로 48631-420-1211
9전력기반센터7236서울특별시 영등포구 국회대로 62길 25 교육시설공제회관 3층2-6007-0311
사업장명우편번호주소국선전화
269경인건설본부4629서울특별시 중구 퇴계로 1402-2096-4321
270남서울인천건설지사7336서울특별시 영등포구 여의동로 7길 52-3777-9310
271경기건설지사16229경기도 수원시 영통구 창룡대로 236-3131-230-4320
272중부건설본부35327대전광역시 서구 변동중로 3942-717-4321
273충북강원건설지사27147충북 제천시 의림대로 36길 1543-640-3310
274전북건설지사54851전북 전주시 덕진구 혁신로 60063-240-5890
275광주전남건설지사61981광주광역시 서구 상무대로 110462-720-4320
276남부건설본부49247부산광역시 서구 보수대로 2151-240-9331
277대구경북건설지사41911대구광역시 중구 공평로 9653-722-3310
278동해안신가평 특별대책본부26377강원도 원주시 호저면 감박산길 1133-741-5337