Overview

Dataset statistics

Number of variables5
Number of observations72
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory42.8 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 00:30:30.866664
Analysis finished2023-12-11 00:30:32.113198
Duration1.25 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.5
Minimum1
Maximum72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-11T09:30:32.192323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.55
Q118.75
median36.5
Q354.25
95-th percentile68.45
Maximum72
Range71
Interquartile range (IQR)35.5

Descriptive statistics

Standard deviation20.92845
Coefficient of variation (CV)0.57338218
Kurtosis-1.2
Mean36.5
Median Absolute Deviation (MAD)18
Skewness0
Sum2628
Variance438
MonotonicityStrictly increasing
2023-12-11T09:30:32.336964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
38 1
 
1.4%
54 1
 
1.4%
53 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
Other values (62) 62
86.1%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
72 1
1.4%
71 1
1.4%
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%
63 1
1.4%

회사명
Text

UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size708.0 B
2023-12-11T09:30:32.576639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length7.9305556
Min length4

Characters and Unicode

Total characters571
Distinct characters163
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)100.0%

Sample

1st row(재)남해마늘연구소
2nd row(주)금산
3rd row(주)금산전기
4th row(주)창남조선
5th row(주)케이씨박스
ValueCountFrequency (%)
주식회사 5
 
5.7%
농업회사법인 3
 
3.4%
재)남해마늘연구소 1
 
1.1%
보물섬우리밀영농조합법인 1
 
1.1%
신화씽크 1
 
1.1%
신성엔지니어링 1
 
1.1%
수정영어조합법인 1
 
1.1%
서창선간이수리소 1
 
1.1%
식품가공공장 1
 
1.1%
새남해농협 1
 
1.1%
Other values (71) 71
81.6%
2023-12-11T09:30:32.972396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24
 
4.2%
22
 
3.9%
20
 
3.5%
18
 
3.2%
18
 
3.2%
18
 
3.2%
17
 
3.0%
17
 
3.0%
16
 
2.8%
16
 
2.8%
Other values (153) 385
67.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 524
91.8%
Space Separator 16
 
2.8%
Open Punctuation 13
 
2.3%
Close Punctuation 13
 
2.3%
Decimal Number 2
 
0.4%
Uppercase Letter 2
 
0.4%
Other Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
24
 
4.6%
22
 
4.2%
20
 
3.8%
18
 
3.4%
18
 
3.4%
18
 
3.4%
17
 
3.2%
17
 
3.2%
16
 
3.1%
15
 
2.9%
Other values (145) 339
64.7%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Uppercase Letter
ValueCountFrequency (%)
F 1
50.0%
M 1
50.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 525
91.9%
Common 44
 
7.7%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
24
 
4.6%
22
 
4.2%
20
 
3.8%
18
 
3.4%
18
 
3.4%
18
 
3.4%
17
 
3.2%
17
 
3.2%
16
 
3.0%
15
 
2.9%
Other values (146) 340
64.8%
Common
ValueCountFrequency (%)
16
36.4%
( 13
29.5%
) 13
29.5%
2 1
 
2.3%
1 1
 
2.3%
Latin
ValueCountFrequency (%)
F 1
50.0%
M 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 524
91.8%
ASCII 46
 
8.1%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
24
 
4.6%
22
 
4.2%
20
 
3.8%
18
 
3.4%
18
 
3.4%
18
 
3.4%
17
 
3.2%
17
 
3.2%
16
 
3.1%
15
 
2.9%
Other values (145) 339
64.7%
ASCII
ValueCountFrequency (%)
16
34.8%
( 13
28.3%
) 13
28.3%
2 1
 
2.2%
1 1
 
2.2%
F 1
 
2.2%
M 1
 
2.2%
None
ValueCountFrequency (%)
1
100.0%
Distinct68
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size708.0 B
2023-12-11T09:30:33.212953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.0555556
Min length3

Characters and Unicode

Total characters220
Distinct characters87
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

Unique65 ?
Unique (%)90.3%

Sample

1st row장충남
2nd row유성숙
3rd row김석산
4th row김주숙
5th row이안희
ValueCountFrequency (%)
윤기준 3
 
4.2%
윤진원 2
 
2.8%
배원열 2
 
2.8%
김보숙 1
 
1.4%
지용철 1
 
1.4%
김한옥 1
 
1.4%
박현엽 1
 
1.4%
장충남 1
 
1.4%
강경자 1
 
1.4%
여창모 1
 
1.4%
Other values (58) 58
80.6%
2023-12-11T09:30:33.550259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15
 
6.8%
8
 
3.6%
8
 
3.6%
8
 
3.6%
7
 
3.2%
7
 
3.2%
6
 
2.7%
6
 
2.7%
6
 
2.7%
5
 
2.3%
Other values (77) 144
65.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 219
99.5%
Other Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
15
 
6.8%
8
 
3.7%
8
 
3.7%
8
 
3.7%
7
 
3.2%
7
 
3.2%
6
 
2.7%
6
 
2.7%
6
 
2.7%
5
 
2.3%
Other values (76) 143
65.3%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 219
99.5%
Common 1
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
15
 
6.8%
8
 
3.7%
8
 
3.7%
8
 
3.7%
7
 
3.2%
7
 
3.2%
6
 
2.7%
6
 
2.7%
6
 
2.7%
5
 
2.3%
Other values (76) 143
65.3%
Common
ValueCountFrequency (%)
, 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 219
99.5%
ASCII 1
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
15
 
6.8%
8
 
3.7%
8
 
3.7%
8
 
3.7%
7
 
3.2%
7
 
3.2%
6
 
2.7%
6
 
2.7%
6
 
2.7%
5
 
2.3%
Other values (76) 143
65.3%
ASCII
ValueCountFrequency (%)
, 1
100.0%
Distinct60
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Memory size708.0 B
2023-12-11T09:30:33.788224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length19
Mean length8.6805556
Min length1

Characters and Unicode

Total characters625
Distinct characters172
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

Unique56 ?
Unique (%)77.8%

Sample

1st row마늘가공 제품
2nd row휀스
3rd row배전함
4th rowFRP선박 건조
5th row골판지및골판지상자
ValueCountFrequency (%)
멸치액젓 10
 
7.0%
10
 
7.0%
수리 6
 
4.2%
건조 5
 
3.5%
흑마늘 5
 
3.5%
합성수지선 3
 
2.1%
쑥뜸 2
 
1.4%
깐마늘 2
 
1.4%
선박(목선 2
 
1.4%
뉴라이프 2
 
1.4%
Other values (90) 95
66.9%
2023-12-11T09:30:34.128718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
70
 
11.2%
, 35
 
5.6%
20
 
3.2%
19
 
3.0%
18
 
2.9%
17
 
2.7%
15
 
2.4%
15
 
2.4%
11
 
1.8%
11
 
1.8%
Other values (162) 394
63.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 503
80.5%
Space Separator 70
 
11.2%
Other Punctuation 35
 
5.6%
Open Punctuation 7
 
1.1%
Close Punctuation 7
 
1.1%
Uppercase Letter 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
20
 
4.0%
19
 
3.8%
18
 
3.6%
17
 
3.4%
15
 
3.0%
15
 
3.0%
11
 
2.2%
11
 
2.2%
11
 
2.2%
11
 
2.2%
Other values (155) 355
70.6%
Uppercase Letter
ValueCountFrequency (%)
F 1
33.3%
R 1
33.3%
P 1
33.3%
Space Separator
ValueCountFrequency (%)
70
100.0%
Other Punctuation
ValueCountFrequency (%)
, 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 503
80.5%
Common 119
 
19.0%
Latin 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
20
 
4.0%
19
 
3.8%
18
 
3.6%
17
 
3.4%
15
 
3.0%
15
 
3.0%
11
 
2.2%
11
 
2.2%
11
 
2.2%
11
 
2.2%
Other values (155) 355
70.6%
Common
ValueCountFrequency (%)
70
58.8%
, 35
29.4%
( 7
 
5.9%
) 7
 
5.9%
Latin
ValueCountFrequency (%)
F 1
33.3%
R 1
33.3%
P 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 503
80.5%
ASCII 122
 
19.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
70
57.4%
, 35
28.7%
( 7
 
5.7%
) 7
 
5.7%
F 1
 
0.8%
R 1
 
0.8%
P 1
 
0.8%
Hangul
ValueCountFrequency (%)
20
 
4.0%
19
 
3.8%
18
 
3.6%
17
 
3.4%
15
 
3.0%
15
 
3.0%
11
 
2.2%
11
 
2.2%
11
 
2.2%
11
 
2.2%
Other values (155) 355
70.6%
Distinct68
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size708.0 B
2023-12-11T09:30:34.387527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length40
Mean length28.916667
Min length19

Characters and Unicode

Total characters2082
Distinct characters138
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

Unique65 ?
Unique (%)90.3%

Sample

1st row경상남도 남해군 이동면 남해대로 2465-8 (남해마늘연구소)
2nd row경상남도 남해군 고현면 남해대로 3406
3rd row경상남도 남해군 남해읍 화전로 153-5, 아산리 184번지 (KT&G남해지점)
4th row경상남도 남해군 창선면 동부대로 2944 (창남FRP조선소) (총 6 필지)
5th row경상남도 남해군 고현면 남해대로 3406 외 2필지
ValueCountFrequency (%)
경상남도 72
 
15.8%
남해군 72
 
15.8%
고현면 23
 
5.0%
22
 
4.8%
남해대로 19
 
4.2%
남해읍 12
 
2.6%
삼동면 10
 
2.2%
9
 
2.0%
1필지 9
 
2.0%
필지 9
 
2.0%
Other values (136) 200
43.8%
2023-12-11T09:30:34.818887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
385
18.5%
200
 
9.6%
111
 
5.3%
73
 
3.5%
73
 
3.5%
73
 
3.5%
72
 
3.5%
63
 
3.0%
63
 
3.0%
1 63
 
3.0%
Other values (128) 906
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1249
60.0%
Space Separator 385
 
18.5%
Decimal Number 347
 
16.7%
Dash Punctuation 38
 
1.8%
Open Punctuation 24
 
1.2%
Close Punctuation 24
 
1.2%
Other Punctuation 8
 
0.4%
Uppercase Letter 7
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
200
16.0%
111
 
8.9%
73
 
5.8%
73
 
5.8%
73
 
5.8%
72
 
5.8%
63
 
5.0%
63
 
5.0%
44
 
3.5%
36
 
2.9%
Other values (105) 441
35.3%
Decimal Number
ValueCountFrequency (%)
1 63
18.2%
3 57
16.4%
2 44
12.7%
4 43
12.4%
6 32
9.2%
0 30
8.6%
8 22
 
6.3%
5 21
 
6.1%
7 18
 
5.2%
9 17
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
A 1
14.3%
K 1
14.3%
T 1
14.3%
G 1
14.3%
F 1
14.3%
R 1
14.3%
P 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 7
87.5%
& 1
 
12.5%
Space Separator
ValueCountFrequency (%)
385
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1249
60.0%
Common 826
39.7%
Latin 7
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
200
16.0%
111
 
8.9%
73
 
5.8%
73
 
5.8%
73
 
5.8%
72
 
5.8%
63
 
5.0%
63
 
5.0%
44
 
3.5%
36
 
2.9%
Other values (105) 441
35.3%
Common
ValueCountFrequency (%)
385
46.6%
1 63
 
7.6%
3 57
 
6.9%
2 44
 
5.3%
4 43
 
5.2%
- 38
 
4.6%
6 32
 
3.9%
0 30
 
3.6%
( 24
 
2.9%
) 24
 
2.9%
Other values (6) 86
 
10.4%
Latin
ValueCountFrequency (%)
A 1
14.3%
K 1
14.3%
T 1
14.3%
G 1
14.3%
F 1
14.3%
R 1
14.3%
P 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1249
60.0%
ASCII 833
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
385
46.2%
1 63
 
7.6%
3 57
 
6.8%
2 44
 
5.3%
4 43
 
5.2%
- 38
 
4.6%
6 32
 
3.8%
0 30
 
3.6%
( 24
 
2.9%
) 24
 
2.9%
Other values (13) 93
 
11.2%
Hangul
ValueCountFrequency (%)
200
16.0%
111
 
8.9%
73
 
5.8%
73
 
5.8%
73
 
5.8%
72
 
5.8%
63
 
5.0%
63
 
5.0%
44
 
3.5%
36
 
2.9%
Other values (105) 441
35.3%

Interactions

2023-12-11T09:30:31.841690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:30:34.914440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번회사명대표자명생산품공장대표주소
순번1.0001.0000.9870.9030.949
회사명1.0001.0001.0001.0001.000
대표자명0.9871.0001.0000.9940.984
생산품0.9031.0000.9941.0000.706
공장대표주소0.9491.0000.9840.7061.000

Missing values

2023-12-11T09:30:31.953156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:30:32.068947image/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(재)남해마늘연구소장충남마늘가공 제품경상남도 남해군 이동면 남해대로 2465-8 (남해마늘연구소)
12(주)금산유성숙휀스경상남도 남해군 고현면 남해대로 3406
23(주)금산전기김석산배전함경상남도 남해군 남해읍 화전로 153-5, 아산리 184번지 (KT&G남해지점)
34(주)창남조선김주숙FRP선박 건조경상남도 남해군 창선면 동부대로 2944 (창남FRP조선소) (총 6 필지)
45(주)케이씨박스이안희골판지및골판지상자경상남도 남해군 고현면 남해대로 3406 외 2필지
56(주)해울림체험마을 영농조합법인채판석건강기능식품경상남도 남해군 창선면 흥선로 1336-35, 해울림 마을기업
67FM 산업장태철숟가락, 젓가락, 티수픈등경상남도 남해군 고현면 남해대로 3408-30
78㈜어업회사법인 동은식품임수섭멸치액젓경상남도 남해군 삼동면 양화금로 420
89가온누리고성용흑마늘, 흑마늘 진액경상남도 남해군 이동면 남해대로 2364-11
910강훈산업서지수건설공사용 가설자재경상남도 남해군 남해읍 남변리 237
순번회사명대표자명생산품공장대표주소
6263주식회사 엘에스아이오티김충국온도센서, 수신기경상남도 남해군 남해읍 망운로 27, A동 2층
6364주식회사 일백이동한흑마늘즙, 양배추즙경상남도 남해군 고현면 화방로 51
6465주식회사 청남김봉실,최승호레미콘, 아스콘경상남도 남해군 고현면 남해대로 3245-9
6566주식회사 하남엔지니어링강철호식물생장 조절실, 히트펌프, 항온항습조경상남도 남해군 남해읍 남변리 237
6667주식회사초린원이금선산양산삼 및 도라지 혼합엑기스경상남도 남해군 남면 남면로 1534-118 (산지약용작물가공유통센타)
6768진보수산(주)지용철굴가공품경상남도 남해군 설천면 강진로 694-41
6869창남조선소김보숙목선건조 및 수리경상남도 남해군 창선면 당항리 34-3번지
6970풍년비닐공업사박현엽농업용 멀칭비닐, 쓰레기봉투,플라스틱포경상남도 남해군 고현면 남해대로 3243-6
7071항촌조선소김한옥목선건조 및 수리경상남도 남해군 남면 남면로1031번길 39-9
7172해늘찬치즈정철수치즈, 요구르트경상남도 남해군 남면 남서대로 684-4 외 2필지