Overview

Dataset statistics

Number of variables5
Number of observations64
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory43.1 B

Variable types

Numeric1
Text4

Dataset

Description남해군 기업체 정보(개별공장 등록)에 대한 데이터이며 회사명, 대표자명, 주요 생산품, 소재지 등의 항목을 제공합니다.
Author경상남도 남해군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3074450

Alerts

순번 has unique valuesUnique
회사명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:30:35.828121
Analysis finished2023-12-11 00:30:36.558949
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.5
Minimum1
Maximum64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-11T09:30:36.628344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.15
Q116.75
median32.5
Q348.25
95-th percentile60.85
Maximum64
Range63
Interquartile range (IQR)31.5

Descriptive statistics

Standard deviation18.618987
Coefficient of variation (CV)0.5728919
Kurtosis-1.2
Mean32.5
Median Absolute Deviation (MAD)16
Skewness0
Sum2080
Variance346.66667
MonotonicityStrictly increasing
2023-12-11T09:30:36.800515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
34 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%
42 1
 
1.6%
43 1
 
1.6%
Other values (54) 54
84.4%
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 (%)
64 1
1.6%
63 1
1.6%
62 1
1.6%
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%

회사명
Text

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-11T09:30:37.056833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length7.96875
Min length4

Characters and Unicode

Total characters510
Distinct characters160
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

Unique64 ?
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 (%)
농업회사법인 2
 
2.8%
자)장안전기 1
 
1.4%
보물섬남해클러스트조합공동사업법인 1
 
1.4%
수정영어조합법인 1
 
1.4%
서창선간이수리소 1
 
1.4%
새남해농업협동조합 1
 
1.4%
남해장애인근로센타가온누리 1
 
1.4%
사회복지법인 1
 
1.4%
보물섬우리밀영농조합법인 1
 
1.4%
보물섬그린영농조합법인 1
 
1.4%
Other values (60) 60
84.5%
2023-12-11T09:30:37.479736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23
 
4.5%
22
 
4.3%
20
 
3.9%
18
 
3.5%
16
 
3.1%
15
 
2.9%
14
 
2.7%
( 13
 
2.5%
) 13
 
2.5%
13
 
2.5%
Other values (150) 343
67.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 473
92.7%
Open Punctuation 13
 
2.5%
Close Punctuation 13
 
2.5%
Space Separator 7
 
1.4%
Decimal Number 2
 
0.4%
Uppercase Letter 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
23
 
4.9%
22
 
4.7%
20
 
4.2%
18
 
3.8%
16
 
3.4%
15
 
3.2%
14
 
3.0%
13
 
2.7%
12
 
2.5%
11
 
2.3%
Other values (143) 309
65.3%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
50.0%
F 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 473
92.7%
Common 35
 
6.9%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
23
 
4.9%
22
 
4.7%
20
 
4.2%
18
 
3.8%
16
 
3.4%
15
 
3.2%
14
 
3.0%
13
 
2.7%
12
 
2.5%
11
 
2.3%
Other values (143) 309
65.3%
Common
ValueCountFrequency (%)
( 13
37.1%
) 13
37.1%
7
20.0%
1 1
 
2.9%
2 1
 
2.9%
Latin
ValueCountFrequency (%)
M 1
50.0%
F 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 473
92.7%
ASCII 37
 
7.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
23
 
4.9%
22
 
4.7%
20
 
4.2%
18
 
3.8%
16
 
3.4%
15
 
3.2%
14
 
3.0%
13
 
2.7%
12
 
2.5%
11
 
2.3%
Other values (143) 309
65.3%
ASCII
ValueCountFrequency (%)
( 13
35.1%
) 13
35.1%
7
18.9%
1 1
 
2.7%
2 1
 
2.7%
M 1
 
2.7%
F 1
 
2.7%
Distinct59
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-11T09:30:37.726899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.0625
Min length3

Characters and Unicode

Total characters196
Distinct characters79
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

Unique55 ?
Unique (%)85.9%

Sample

1st row김석산
2nd row장충남
3rd row유성숙
4th row한희동
5th row이안희
ValueCountFrequency (%)
박대영 3
 
4.7%
윤진원 2
 
3.1%
이금선 2
 
3.1%
배원열 2
 
3.1%
조재삼 1
 
1.6%
강경자 1
 
1.6%
김근호 1
 
1.6%
하성호 1
 
1.6%
박성춘 1
 
1.6%
정찬원 1
 
1.6%
Other values (49) 49
76.6%
2023-12-11T09:30:38.140861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
 
6.1%
8
 
4.1%
7
 
3.6%
7
 
3.6%
5
 
2.6%
5
 
2.6%
5
 
2.6%
5
 
2.6%
5
 
2.6%
5
 
2.6%
Other values (69) 132
67.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 195
99.5%
Other Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
12
 
6.2%
8
 
4.1%
7
 
3.6%
7
 
3.6%
5
 
2.6%
5
 
2.6%
5
 
2.6%
5
 
2.6%
5
 
2.6%
5
 
2.6%
Other values (68) 131
67.2%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 195
99.5%
Common 1
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
12
 
6.2%
8
 
4.1%
7
 
3.6%
7
 
3.6%
5
 
2.6%
5
 
2.6%
5
 
2.6%
5
 
2.6%
5
 
2.6%
5
 
2.6%
Other values (68) 131
67.2%
Common
ValueCountFrequency (%)
, 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 195
99.5%
ASCII 1
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
12
 
6.2%
8
 
4.1%
7
 
3.6%
7
 
3.6%
5
 
2.6%
5
 
2.6%
5
 
2.6%
5
 
2.6%
5
 
2.6%
5
 
2.6%
Other values (68) 131
67.2%
ASCII
ValueCountFrequency (%)
, 1
100.0%
Distinct52
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-11T09:30:38.436095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length16
Mean length8.578125
Min length1

Characters and Unicode

Total characters549
Distinct characters161
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

Unique48 ?
Unique (%)75.0%

Sample

1st row배전함
2nd row마늘가공 제품
3rd row휀스
4th rowFRP선박 건조
5th row골판지및골판지상자
ValueCountFrequency (%)
11
 
8.5%
멸치액젓 10
 
7.8%
수리 6
 
4.7%
건조 5
 
3.9%
흑마늘 5
 
3.9%
3
 
2.3%
합성수지선 3
 
2.3%
2
 
1.6%
레미콘 2
 
1.6%
흑마늘진액 2
 
1.6%
Other values (75) 80
62.0%
2023-12-11T09:30:38.882720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
65
 
11.8%
, 29
 
5.3%
19
 
3.5%
17
 
3.1%
17
 
3.1%
16
 
2.9%
13
 
2.4%
13
 
2.4%
12
 
2.2%
11
 
2.0%
Other values (151) 337
61.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 439
80.0%
Space Separator 65
 
11.8%
Other Punctuation 29
 
5.3%
Open Punctuation 7
 
1.3%
Close Punctuation 6
 
1.1%
Uppercase Letter 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
19
 
4.3%
17
 
3.9%
17
 
3.9%
16
 
3.6%
13
 
3.0%
13
 
3.0%
12
 
2.7%
11
 
2.5%
11
 
2.5%
10
 
2.3%
Other values (144) 300
68.3%
Uppercase Letter
ValueCountFrequency (%)
R 1
33.3%
P 1
33.3%
F 1
33.3%
Space Separator
ValueCountFrequency (%)
65
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 439
80.0%
Common 107
 
19.5%
Latin 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
19
 
4.3%
17
 
3.9%
17
 
3.9%
16
 
3.6%
13
 
3.0%
13
 
3.0%
12
 
2.7%
11
 
2.5%
11
 
2.5%
10
 
2.3%
Other values (144) 300
68.3%
Common
ValueCountFrequency (%)
65
60.7%
, 29
27.1%
( 7
 
6.5%
) 6
 
5.6%
Latin
ValueCountFrequency (%)
R 1
33.3%
P 1
33.3%
F 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 439
80.0%
ASCII 110
 
20.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
65
59.1%
, 29
26.4%
( 7
 
6.4%
) 6
 
5.5%
R 1
 
0.9%
P 1
 
0.9%
F 1
 
0.9%
Hangul
ValueCountFrequency (%)
19
 
4.3%
17
 
3.9%
17
 
3.9%
16
 
3.6%
13
 
3.0%
13
 
3.0%
12
 
2.7%
11
 
2.5%
11
 
2.5%
10
 
2.3%
Other values (144) 300
68.3%
Distinct61
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-11T09:30:39.261749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length28.53125
Min length19

Characters and Unicode

Total characters1826
Distinct characters127
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

Unique59 ?
Unique (%)92.2%

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 64
 
16.1%
남해군 64
 
16.1%
고현면 19
 
4.8%
남해대로 18
 
4.5%
필지 15
 
3.8%
15
 
3.8%
동부대로 9
 
2.3%
삼동면 9
 
2.3%
남해읍 9
 
2.3%
남면 8
 
2.0%
Other values (116) 167
42.1%
2023-12-11T09:30:39.786939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
334
18.3%
174
 
9.5%
96
 
5.3%
65
 
3.6%
65
 
3.6%
64
 
3.5%
64
 
3.5%
58
 
3.2%
57
 
3.1%
1 54
 
3.0%
Other values (117) 795
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1087
59.5%
Space Separator 334
 
18.3%
Decimal Number 298
 
16.3%
Dash Punctuation 33
 
1.8%
Open Punctuation 31
 
1.7%
Close Punctuation 31
 
1.7%
Other Punctuation 6
 
0.3%
Uppercase Letter 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
174
16.0%
96
 
8.8%
65
 
6.0%
65
 
6.0%
64
 
5.9%
64
 
5.9%
58
 
5.3%
57
 
5.2%
34
 
3.1%
33
 
3.0%
Other values (95) 377
34.7%
Decimal Number
ValueCountFrequency (%)
1 54
18.1%
3 48
16.1%
4 43
14.4%
2 31
10.4%
6 30
10.1%
0 24
8.1%
8 21
 
7.0%
9 16
 
5.4%
7 16
 
5.4%
5 15
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
G 1
16.7%
T 1
16.7%
K 1
16.7%
F 1
16.7%
R 1
16.7%
P 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 5
83.3%
& 1
 
16.7%
Space Separator
ValueCountFrequency (%)
334
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1087
59.5%
Common 733
40.1%
Latin 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
174
16.0%
96
 
8.8%
65
 
6.0%
65
 
6.0%
64
 
5.9%
64
 
5.9%
58
 
5.3%
57
 
5.2%
34
 
3.1%
33
 
3.0%
Other values (95) 377
34.7%
Common
ValueCountFrequency (%)
334
45.6%
1 54
 
7.4%
3 48
 
6.5%
4 43
 
5.9%
- 33
 
4.5%
2 31
 
4.2%
( 31
 
4.2%
) 31
 
4.2%
6 30
 
4.1%
0 24
 
3.3%
Other values (6) 74
 
10.1%
Latin
ValueCountFrequency (%)
G 1
16.7%
T 1
16.7%
K 1
16.7%
F 1
16.7%
R 1
16.7%
P 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1087
59.5%
ASCII 739
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
334
45.2%
1 54
 
7.3%
3 48
 
6.5%
4 43
 
5.8%
- 33
 
4.5%
2 31
 
4.2%
( 31
 
4.2%
) 31
 
4.2%
6 30
 
4.1%
0 24
 
3.2%
Other values (12) 80
 
10.8%
Hangul
ValueCountFrequency (%)
174
16.0%
96
 
8.8%
65
 
6.0%
65
 
6.0%
64
 
5.9%
64
 
5.9%
58
 
5.3%
57
 
5.2%
34
 
3.1%
33
 
3.0%
Other values (95) 377
34.7%

Interactions

2023-12-11T09:30:36.309002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:30:39.905640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번회사명대표자명생산품공장대표주소
순번1.0001.0000.9160.8010.972
회사명1.0001.0001.0001.0001.000
대표자명0.9161.0001.0000.9870.972
생산품0.8011.0000.9871.0000.833
공장대표주소0.9721.0000.9720.8331.000

Missing values

2023-12-11T09:30:36.428334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:30:36.520743image/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

순번회사명대표자명생산품공장대표주소
01(자)장안전기김석산배전함경상남도 남해군 남해읍 화전로 153-5, 아산리 184번지 (KT&G남해지점)
12(재)남해마늘연구소장충남마늘가공 제품경상남도 남해군 이동면 남해대로 2465-8 (남해마늘연구소)
23(주)금산유성숙휀스경상남도 남해군 고현면 남해대로 3406
34(주)창남조선한희동FRP선박 건조경상남도 남해군 창선면 동부대로 2944 (창남FRP조선소) (총 6 필지)
45(주)케이씨박스이안희골판지및골판지상자경상남도 남해군 고현면 남해대로 3406 (총 3 필지)
56(주)하남엔지니어링강철호분전반, 항온항습기경상남도 남해군 창선면 동부대로 2482-31
67FM 산업장태철숟가락, 젓가락, 티스푼 등경상남도 남해군 고현면 남해대로 3408-30
78거양수산최윤자수산어류가공(고등어, 꽁치, 조기 등)경상남도 남해군 고현면 대곡리 643-2번지 외 9필지
89건화종합상사최동권코너비드(타일 마감재)경상남도 남해군 고현면 남해대로 3406, 건화종합상사
910금산당이미지배원열천연향, 쑥뜸, 향수경상남도 남해군 고현면 화방로 6 (총 2 필지)
순번회사명대표자명생산품공장대표주소
5455주식회사 청남김봉실,최승호레미콘, 아스콘경상남도 남해군 고현면 남해대로 3245-9
5556주식회사초린원이금선산양산삼 및 도라지 혼합엑기스경상남도 남해군 남면 남면로 1534-118 (산지약용작물가공유통센타)
5657진보수산(주)지용철굴가공품경상남도 남해군 설천면 강진로 694-41
5758차산정미소차진홍경상남도 남해군 남해읍 선소로 82
5859창남조선소김보숙목선건조 및 수리경상남도 남해군 창선면 당항리 34-3번지
5960풍년비닐공업사박현엽농업용 멀칭비닐, 쓰레기봉투,플라스틱포경상남도 남해군 고현면 남해대로 3243-6
6061하림한약원료제조(주)임은택생약경상남도 남해군 남면 남면로 1297 (영농한약창고)
6162항촌조선소김한옥목선건조 및 수리경상남도 남해군 남면 남면로1031번길 39-9
6263해늘찬치즈정철수치즈, 요구르트경상남도 남해군 남면 석교리 1087번지 외 1필지
6364르뱅스타베이커리한추영제빵경상남도 남해군 삼동면 동부대로 1030번길 77