Overview

Dataset statistics

Number of variables8
Number of observations61
Missing cells22
Missing cells (%)4.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 KiB
Average record size in memory67.2 B

Variable types

Numeric1
Text7

Dataset

Description남해군에 등록된 제조업공장 현황자료 입니다. 회사명, 대표자명, 공장대표주소지, 연락처(전화번호, 팩스번호), 업종명, 생상품의 정보를 포함하고 있습니다.
Author경상남도 남해군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15034918

Alerts

전화번호 has 10 (16.4%) missing valuesMissing
팩스번호 has 12 (19.7%) missing valuesMissing
순번 has unique valuesUnique
회사명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:13:33.054770
Analysis finished2023-12-10 23:13:34.286438
Duration1.23 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31
Minimum1
Maximum61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2023-12-11T08:13:34.378346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q116
median31
Q346
95-th percentile58
Maximum61
Range60
Interquartile range (IQR)30

Descriptive statistics

Standard deviation17.752934
Coefficient of variation (CV)0.57267529
Kurtosis-1.2
Mean31
Median Absolute Deviation (MAD)15
Skewness0
Sum1891
Variance315.16667
MonotonicityStrictly increasing
2023-12-11T08:13:34.816934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
47 1
 
1.6%
34 1
 
1.6%
35 1
 
1.6%
36 1
 
1.6%
37 1
 
1.6%
38 1
 
1.6%
39 1
 
1.6%
40 1
 
1.6%
41 1
 
1.6%
Other values (51) 51
83.6%
ValueCountFrequency (%)
1 1
1.6%
2 1
1.6%
3 1
1.6%
4 1
1.6%
5 1
1.6%
6 1
1.6%
7 1
1.6%
8 1
1.6%
9 1
1.6%
10 1
1.6%
ValueCountFrequency (%)
61 1
1.6%
60 1
1.6%
59 1
1.6%
58 1
1.6%
57 1
1.6%
56 1
1.6%
55 1
1.6%
54 1
1.6%
53 1
1.6%
52 1
1.6%

회사명
Text

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-11T08:13:35.092997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length7.9672131
Min length4

Characters and Unicode

Total characters486
Distinct characters154
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

Unique61 ?
Unique (%)100.0%

Sample

1st row(자)장안전기
2nd row(재)남해마늘연구소
3rd row(주)금산
4th row(주)창남조선
5th row(주)케이씨박스
ValueCountFrequency (%)
주식회사 2
 
2.9%
농업회사법인 2
 
2.9%
자)장안전기 1
 
1.4%
서창선간이수리소 1
 
1.4%
식품가공공장 1
 
1.4%
새남해농협 1
 
1.4%
남해장애인근로센타가온누리 1
 
1.4%
사회복지법인 1
 
1.4%
보물섬우리밀영농조합법인 1
 
1.4%
신성엔지니어링 1
 
1.4%
Other values (58) 58
82.9%
2023-12-11T08:13:35.545257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
남 21
 
4.3%
조 19
 
3.9%
해 18
 
3.7%
인 17
 
3.5%
합 14
 
2.9%
법 14
 
2.9%
주 13
 
2.7%
식 13
 
2.7%
농 13
 
2.7%
사 12
 
2.5%
Other values (144) 332
68.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 449
92.4%
Open Punctuation 12
 
2.5%
Close Punctuation 12
 
2.5%
Space Separator 9
 
1.9%
Decimal Number 2
 
0.4%
Uppercase Letter 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 21
 
4.7%
조 19
 
4.2%
해 18
 
4.0%
인 17
 
3.8%
합 14
 
3.1%
법 14
 
3.1%
주 13
 
2.9%
식 13
 
2.9%
농 13
 
2.9%
사 12
 
2.7%
Other values (137) 295
65.7%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
50.0%
F 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 449
92.4%
Common 35
 
7.2%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 21
 
4.7%
조 19
 
4.2%
해 18
 
4.0%
인 17
 
3.8%
합 14
 
3.1%
법 14
 
3.1%
주 13
 
2.9%
식 13
 
2.9%
농 13
 
2.9%
사 12
 
2.7%
Other values (137) 295
65.7%
Common
ValueCountFrequency (%)
( 12
34.3%
) 12
34.3%
9
25.7%
2 1
 
2.9%
1 1
 
2.9%
Latin
ValueCountFrequency (%)
M 1
50.0%
F 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 449
92.4%
ASCII 37
 
7.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
남 21
 
4.7%
조 19
 
4.2%
해 18
 
4.0%
인 17
 
3.8%
합 14
 
3.1%
법 14
 
3.1%
주 13
 
2.9%
식 13
 
2.9%
농 13
 
2.9%
사 12
 
2.7%
Other values (137) 295
65.7%
ASCII
ValueCountFrequency (%)
( 12
32.4%
) 12
32.4%
9
24.3%
2 1
 
2.7%
1 1
 
2.7%
M 1
 
2.7%
F 1
 
2.7%

대표자명
Text

Distinct57
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-11T08:13:35.842970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.0655738
Min length3

Characters and Unicode

Total characters187
Distinct characters77
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

Unique54 ?
Unique (%)88.5%

Sample

1st row김석산
2nd row장충남
3rd row유성숙
4th row한희동
5th row이안희
ValueCountFrequency (%)
윤기준 3
 
4.9%
배원열 2
 
3.3%
윤진원 2
 
3.3%
박현엽 1
 
1.6%
김보숙 1
 
1.6%
조재삼 1
 
1.6%
김석산 1
 
1.6%
김근호 1
 
1.6%
김행기 1
 
1.6%
하성호 1
 
1.6%
Other values (47) 47
77.0%
2023-12-11T08:13:36.292303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 11
 
5.9%
윤 8
 
4.3%
성 8
 
4.3%
박 7
 
3.7%
기 6
 
3.2%
원 6
 
3.2%
이 6
 
3.2%
철 5
 
2.7%
동 5
 
2.7%
호 5
 
2.7%
Other values (67) 120
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 186
99.5%
Other Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 11
 
5.9%
윤 8
 
4.3%
성 8
 
4.3%
박 7
 
3.8%
기 6
 
3.2%
원 6
 
3.2%
이 6
 
3.2%
철 5
 
2.7%
동 5
 
2.7%
호 5
 
2.7%
Other values (66) 119
64.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 186
99.5%
Common 1
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 11
 
5.9%
윤 8
 
4.3%
성 8
 
4.3%
박 7
 
3.8%
기 6
 
3.2%
원 6
 
3.2%
이 6
 
3.2%
철 5
 
2.7%
동 5
 
2.7%
호 5
 
2.7%
Other values (66) 119
64.0%
Common
ValueCountFrequency (%)
, 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 186
99.5%
ASCII 1
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 11
 
5.9%
윤 8
 
4.3%
성 8
 
4.3%
박 7
 
3.8%
기 6
 
3.2%
원 6
 
3.2%
이 6
 
3.2%
철 5
 
2.7%
동 5
 
2.7%
호 5
 
2.7%
Other values (66) 119
64.0%
ASCII
ValueCountFrequency (%)
, 1
100.0%

공장대표주소
Text

Distinct58
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-11T08:13:36.629882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length28.934426
Min length19

Characters and Unicode

Total characters1765
Distinct characters128
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

Unique56 ?
Unique (%)91.8%

Sample

1st row경상남도 남해군 남해읍 화전로 153-5, 아산리 184번지 (KT&G남해지점)
2nd row경상남도 남해군 이동면 남해대로 2465-8 (남해마늘연구소)
3rd row경상남도 남해군 고현면 남해대로 3406
4th row경상남도 남해군 창선면 동부대로 2944 (창남FRP조선소) (총 6 필지)
5th row경상남도 남해군 고현면 남해대로 3406 (총 3 필지)
ValueCountFrequency (%)
경상남도 61
 
16.0%
남해군 61
 
16.0%
고현면 20
 
5.2%
남해대로 18
 
4.7%
필지 16
 
4.2%
총 16
 
4.2%
삼동면 9
 
2.4%
남해읍 8
 
2.1%
동부대로 7
 
1.8%
남면 7
 
1.8%
Other values (114) 159
41.6%
2023-12-11T08:13:37.079217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
322
18.2%
남 166
 
9.4%
해 92
 
5.2%
도 62
 
3.5%
상 62
 
3.5%
경 61
 
3.5%
군 61
 
3.5%
로 55
 
3.1%
면 55
 
3.1%
1 52
 
2.9%
Other values (118) 777
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1047
59.3%
Space Separator 322
 
18.2%
Decimal Number 289
 
16.4%
Dash Punctuation 34
 
1.9%
Open Punctuation 30
 
1.7%
Close Punctuation 30
 
1.7%
Other Punctuation 7
 
0.4%
Uppercase Letter 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 166
15.9%
해 92
 
8.8%
도 62
 
5.9%
상 62
 
5.9%
경 61
 
5.8%
군 61
 
5.8%
로 55
 
5.3%
면 55
 
5.3%
대 34
 
3.2%
지 32
 
3.1%
Other values (96) 367
35.1%
Decimal Number
ValueCountFrequency (%)
1 52
18.0%
3 47
16.3%
4 45
15.6%
6 30
10.4%
2 30
10.4%
0 24
8.3%
8 19
 
6.6%
5 16
 
5.5%
9 14
 
4.8%
7 12
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
P 1
16.7%
G 1
16.7%
K 1
16.7%
T 1
16.7%
R 1
16.7%
F 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 6
85.7%
& 1
 
14.3%
Space Separator
ValueCountFrequency (%)
322
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1047
59.3%
Common 712
40.3%
Latin 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 166
15.9%
해 92
 
8.8%
도 62
 
5.9%
상 62
 
5.9%
경 61
 
5.8%
군 61
 
5.8%
로 55
 
5.3%
면 55
 
5.3%
대 34
 
3.2%
지 32
 
3.1%
Other values (96) 367
35.1%
Common
ValueCountFrequency (%)
322
45.2%
1 52
 
7.3%
3 47
 
6.6%
4 45
 
6.3%
- 34
 
4.8%
6 30
 
4.2%
( 30
 
4.2%
2 30
 
4.2%
) 30
 
4.2%
0 24
 
3.4%
Other values (6) 68
 
9.6%
Latin
ValueCountFrequency (%)
P 1
16.7%
G 1
16.7%
K 1
16.7%
T 1
16.7%
R 1
16.7%
F 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1047
59.3%
ASCII 718
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
322
44.8%
1 52
 
7.2%
3 47
 
6.5%
4 45
 
6.3%
- 34
 
4.7%
6 30
 
4.2%
( 30
 
4.2%
2 30
 
4.2%
) 30
 
4.2%
0 24
 
3.3%
Other values (12) 74
 
10.3%
Hangul
ValueCountFrequency (%)
남 166
15.9%
해 92
 
8.8%
도 62
 
5.9%
상 62
 
5.9%
경 61
 
5.8%
군 61
 
5.8%
로 55
 
5.3%
면 55
 
5.3%
대 34
 
3.2%
지 32
 
3.1%
Other values (96) 367
35.1%

전화번호
Text

MISSING 

Distinct49
Distinct (%)96.1%
Missing10
Missing (%)16.4%
Memory size620.0 B
2023-12-11T08:13:37.334629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters612
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

Unique47 ?
Unique (%)92.2%

Sample

1st row055-860-8948
2nd row055-863-3389
3rd row055-867-5050
4th row055-863-5588
5th row055-864-2777
ValueCountFrequency (%)
055-864-0882 2
 
3.9%
055-867-7114 2
 
3.9%
055-862-8675 1
 
2.0%
055-863-2530 1
 
2.0%
055-863-3440 1
 
2.0%
055-867-0075 1
 
2.0%
055-863-3250 1
 
2.0%
055-863-3599 1
 
2.0%
055-867-7522 1
 
2.0%
055-867-6326 1
 
2.0%
Other values (39) 39
76.5%
2023-12-11T08:13:37.636945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 132
21.6%
- 102
16.7%
0 75
12.3%
8 71
11.6%
6 64
10.5%
2 36
 
5.9%
3 36
 
5.9%
7 34
 
5.6%
4 30
 
4.9%
1 21
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 510
83.3%
Dash Punctuation 102
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 132
25.9%
0 75
14.7%
8 71
13.9%
6 64
12.5%
2 36
 
7.1%
3 36
 
7.1%
7 34
 
6.7%
4 30
 
5.9%
1 21
 
4.1%
9 11
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 612
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 132
21.6%
- 102
16.7%
0 75
12.3%
8 71
11.6%
6 64
10.5%
2 36
 
5.9%
3 36
 
5.9%
7 34
 
5.6%
4 30
 
4.9%
1 21
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 612
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 132
21.6%
- 102
16.7%
0 75
12.3%
8 71
11.6%
6 64
10.5%
2 36
 
5.9%
3 36
 
5.9%
7 34
 
5.6%
4 30
 
4.9%
1 21
 
3.4%

팩스번호
Text

MISSING 

Distinct47
Distinct (%)95.9%
Missing12
Missing (%)19.7%
Memory size620.0 B
2023-12-11T08:13:37.838441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters588
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

Unique45 ?
Unique (%)91.8%

Sample

1st row055-863-1066
2nd row055-860-8945
3rd row055-863-3319
4th row055-867-2558
5th row055-863-5584
ValueCountFrequency (%)
055-864-8153 2
 
4.1%
055-867-7515 2
 
4.1%
055-864-7325 1
 
2.0%
055-862-8676 1
 
2.0%
055-867-5666 1
 
2.0%
055-863-8002 1
 
2.0%
055-863-1066 1
 
2.0%
055-863-5333 1
 
2.0%
055-863-3441 1
 
2.0%
055-867-4628 1
 
2.0%
Other values (37) 37
75.5%
2023-12-11T08:13:38.138187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 125
21.3%
- 98
16.7%
8 71
12.1%
0 69
11.7%
6 69
11.7%
3 41
 
7.0%
4 30
 
5.1%
2 28
 
4.8%
7 26
 
4.4%
1 22
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 490
83.3%
Dash Punctuation 98
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 125
25.5%
8 71
14.5%
0 69
14.1%
6 69
14.1%
3 41
 
8.4%
4 30
 
6.1%
2 28
 
5.7%
7 26
 
5.3%
1 22
 
4.5%
9 9
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 98
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 588
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 125
21.3%
- 98
16.7%
8 71
12.1%
0 69
11.7%
6 69
11.7%
3 41
 
7.0%
4 30
 
5.1%
2 28
 
4.8%
7 26
 
4.4%
1 22
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 588
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 125
21.3%
- 98
16.7%
8 71
12.1%
0 69
11.7%
6 69
11.7%
3 41
 
7.0%
4 30
 
5.1%
2 28
 
4.8%
7 26
 
4.4%
1 22
 
3.7%

업종명
Text

Distinct37
Distinct (%)60.7%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-11T08:13:38.332536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length21
Mean length15.967213
Min length6

Characters and Unicode

Total characters974
Distinct characters110
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)49.2%

Sample

1st row전동기 및 발전기 제조업
2nd row기타 과실ㆍ채소 가공 및 저장 처리업 외 1 종
3rd row구조용 금속 판제품 및 공작물 제조업
4th row합성수지선 건조업 외 1 종
5th row골판지 제조업 외 1 종
ValueCountFrequency (%)
제조업 36
 
11.6%
및 34
 
11.0%
기타 25
 
8.1%
외 19
 
6.1%
종 18
 
5.8%
가공 14
 
4.5%
저장 14
 
4.5%
처리업 14
 
4.5%
수산동물 13
 
4.2%
과실ㆍ채소 12
 
3.9%
Other values (62) 111
35.8%
2023-12-11T08:13:38.635842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
249
25.6%
업 61
 
6.3%
조 58
 
6.0%
제 44
 
4.5%
및 34
 
3.5%
기 29
 
3.0%
장 25
 
2.6%
타 25
 
2.6%
품 21
 
2.2%
외 19
 
2.0%
Other values (100) 409
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 702
72.1%
Space Separator 249
 
25.6%
Decimal Number 19
 
2.0%
Other Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 61
 
8.7%
조 58
 
8.3%
제 44
 
6.3%
및 34
 
4.8%
기 29
 
4.1%
장 25
 
3.6%
타 25
 
3.6%
품 21
 
3.0%
외 19
 
2.7%
공 19
 
2.7%
Other values (94) 367
52.3%
Decimal Number
ValueCountFrequency (%)
1 13
68.4%
2 4
 
21.1%
5 1
 
5.3%
3 1
 
5.3%
Space Separator
ValueCountFrequency (%)
249
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 702
72.1%
Common 272
 
27.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 61
 
8.7%
조 58
 
8.3%
제 44
 
6.3%
및 34
 
4.8%
기 29
 
4.1%
장 25
 
3.6%
타 25
 
3.6%
품 21
 
3.0%
외 19
 
2.7%
공 19
 
2.7%
Other values (94) 367
52.3%
Common
ValueCountFrequency (%)
249
91.5%
1 13
 
4.8%
, 4
 
1.5%
2 4
 
1.5%
5 1
 
0.4%
3 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 690
70.8%
ASCII 272
 
27.9%
Compat Jamo 12
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
249
91.5%
1 13
 
4.8%
, 4
 
1.5%
2 4
 
1.5%
5 1
 
0.4%
3 1
 
0.4%
Hangul
ValueCountFrequency (%)
업 61
 
8.8%
조 58
 
8.4%
제 44
 
6.4%
및 34
 
4.9%
기 29
 
4.2%
장 25
 
3.6%
타 25
 
3.6%
품 21
 
3.0%
외 19
 
2.8%
공 19
 
2.8%
Other values (93) 355
51.4%
Compat Jamo
ValueCountFrequency (%)
ㆍ 12
100.0%

생산품
Text

Distinct49
Distinct (%)80.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-11T08:13:38.836262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length16
Mean length8.5737705
Min length1

Characters and Unicode

Total characters523
Distinct characters153
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

Unique45 ?
Unique (%)73.8%

Sample

1st row배전함
2nd row마늘가공 제품
3rd row휀스
4th rowFRP선박 건조
5th row골판지및골판지상자
ValueCountFrequency (%)
멸치액젓 10
 
8.4%
및 10
 
8.4%
수리 6
 
5.0%
건조 5
 
4.2%
흑마늘 5
 
4.2%
합성수지선 3
 
2.5%
쑥뜸 2
 
1.7%
레미콘 2
 
1.7%
선박(목선 2
 
1.7%
흑마늘진액 2
 
1.7%
Other values (68) 72
60.5%
2023-12-11T08:13:39.154899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
58
 
11.1%
, 29
 
5.5%
액 18
 
3.4%
마 18
 
3.4%
늘 17
 
3.3%
치 15
 
2.9%
수 14
 
2.7%
선 13
 
2.5%
젓 11
 
2.1%
흑 11
 
2.1%
Other values (143) 319
61.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 420
80.3%
Space Separator 58
 
11.1%
Other Punctuation 29
 
5.5%
Open Punctuation 7
 
1.3%
Close Punctuation 6
 
1.1%
Uppercase Letter 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
액 18
 
4.3%
마 18
 
4.3%
늘 17
 
4.0%
치 15
 
3.6%
수 14
 
3.3%
선 13
 
3.1%
젓 11
 
2.6%
흑 11
 
2.6%
및 11
 
2.6%
멸 10
 
2.4%
Other values (136) 282
67.1%
Uppercase Letter
ValueCountFrequency (%)
R 1
33.3%
F 1
33.3%
P 1
33.3%
Space Separator
ValueCountFrequency (%)
58
100.0%
Other Punctuation
ValueCountFrequency (%)
, 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 420
80.3%
Common 100
 
19.1%
Latin 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
액 18
 
4.3%
마 18
 
4.3%
늘 17
 
4.0%
치 15
 
3.6%
수 14
 
3.3%
선 13
 
3.1%
젓 11
 
2.6%
흑 11
 
2.6%
및 11
 
2.6%
멸 10
 
2.4%
Other values (136) 282
67.1%
Common
ValueCountFrequency (%)
58
58.0%
, 29
29.0%
( 7
 
7.0%
) 6
 
6.0%
Latin
ValueCountFrequency (%)
R 1
33.3%
F 1
33.3%
P 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 420
80.3%
ASCII 103
 
19.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
58
56.3%
, 29
28.2%
( 7
 
6.8%
) 6
 
5.8%
R 1
 
1.0%
F 1
 
1.0%
P 1
 
1.0%
Hangul
ValueCountFrequency (%)
액 18
 
4.3%
마 18
 
4.3%
늘 17
 
4.0%
치 15
 
3.6%
수 14
 
3.3%
선 13
 
3.1%
젓 11
 
2.6%
흑 11
 
2.6%
및 11
 
2.6%
멸 10
 
2.4%
Other values (136) 282
67.1%

Interactions

2023-12-11T08:13:33.829150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:13:39.237990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번회사명대표자명공장대표주소전화번호팩스번호업종명생산품
순번1.0001.0000.9420.9331.0000.9550.6180.895
회사명1.0001.0001.0001.0001.0001.0001.0001.000
대표자명0.9421.0001.0000.9721.0000.9990.9950.991
공장대표주소0.9331.0000.9721.0000.9880.9870.0000.790
전화번호1.0001.0001.0000.9881.0001.0001.0001.000
팩스번호0.9551.0000.9990.9871.0001.0000.9940.993
업종명0.6181.0000.9950.0001.0000.9941.0000.998
생산품0.8951.0000.9910.7901.0000.9930.9981.000

Missing values

2023-12-11T08:13:33.984033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:13:34.110694image/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.
2023-12-11T08:13:34.229298image/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

순번회사명대표자명공장대표주소전화번호팩스번호업종명생산품
01(자)장안전기김석산경상남도 남해군 남해읍 화전로 153-5, 아산리 184번지 (KT&G남해지점)<NA>055-863-1066전동기 및 발전기 제조업배전함
12(재)남해마늘연구소장충남경상남도 남해군 이동면 남해대로 2465-8 (남해마늘연구소)055-860-8948055-860-8945기타 과실ㆍ채소 가공 및 저장 처리업 외 1 종마늘가공 제품
23(주)금산유성숙경상남도 남해군 고현면 남해대로 3406055-863-3389055-863-3319구조용 금속 판제품 및 공작물 제조업휀스
34(주)창남조선한희동경상남도 남해군 창선면 동부대로 2944 (창남FRP조선소) (총 6 필지)055-867-5050055-867-2558합성수지선 건조업 외 1 종FRP선박 건조
45(주)케이씨박스이안희경상남도 남해군 고현면 남해대로 3406 (총 3 필지)055-863-5588055-863-5584골판지 제조업 외 1 종골판지및골판지상자
56(주)하남엔지니어링강철호경상남도 남해군 창선면 동부대로 2482-31055-864-2777055-864-2776배전반 및 전기 자동제어반 제조업 외 11 종분전반, 항온항습기
67FM 산업장태철경상남도 남해군 고현면 남해대로 3408-30055-863-5547055-863-5546날붙이 제조업숟가락, 젓가락, 티수픈등
78거양수산최윤자경상남도 남해군 고현면 대곡리 643-2번지 외 9필지055-864-7922<NA>기타 수산동물 가공 및 저장 처리업수산어류가공(고등어, 꽁치, 조기등)
89건화종합상사최동권경상남도 남해군 고현면 남해대로 3406, 건화종합상사<NA>055-863-2242그 외 기타 금속가공업코너비드(타일 마감재)
910금산당이미지배원열경상남도 남해군 고현면 화방로 6 (총 2 필지)055-864-8153<NA>한의약품 제조업 외 2 종천연향, 쑥뜸, 향수
순번회사명대표자명공장대표주소전화번호팩스번호업종명생산품
5152인광식품(1공장)윤진원경상남도 남해군 미조면 동부대로 34 (총 2 필지)055-867-7114055-867-7515수산동물 건조 및 염장품 제조업멸치액젓
5253인광식품(2공장)윤진원경상남도 남해군 미조면 동부대로 35-21055-867-7114055-867-7515수산동물 건조 및 염장품 제조업멸치액젓
5354주식회사 일백이동한경상남도 남해군 고현면 화방로 51055-862-8675055-862-8676기타 과실ㆍ채소 가공 및 저장 처리업흑마늘즙, 양배추즙
5455주식회사 청남김봉실,최승호경상남도 남해군 고현면 남해대로 3245-9055-864-7321055-864-7325레미콘 제조업 외 1 종레미콘, 아스콘
5556주식회사초린원이금선경상남도 남해군 남면 남면로 1534-118 (산지약용작물가공유통센타)055-863-3599055-863-8002기타 곡물 가공품 제조업산양산삼 및 도라지 혼합엑기스
5657진보수산(주)지용철경상남도 남해군 설천면 강진로 694-41055-863-3250<NA>수산동물 냉동품 제조업 외 1 종굴가공품
5758창남조선소김보숙경상남도 남해군 창선면 당항리 34-3번지055-867-5555055-867-5666기타 선박 건조업 외 1 종목선건조 및 수리
5859풍년비닐공업사박현엽경상남도 남해군 고현면 남해대로 3243-6055-863-0121055-863-0151플라스틱 필름 제조업 외 2 종농업용 멀칭비닐, 쓰레기봉투,플라스틱포
5960항촌조선소김한옥경상남도 남해군 남면 남면로1031번길 39-9<NA><NA>기타 선박 건조업목선건조 및 수리
6061해늘찬치즈정철수경상남도 남해군 남면 남서대로 684-4 (총 3 필지)<NA><NA>액상시유 및 기타 낙농제품 제조업치즈, 요구르트