Overview

Dataset statistics

Number of variables9
Number of observations219
Missing cells20
Missing cells (%)1.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.0 KiB
Average record size in memory74.6 B

Variable types

Text5
Categorical1
Numeric2
DateTime1

Dataset

Description영주시 관내 제조업등록 현황(회사명, 대표자명, 전화번호, 주소 등)
Author경상북도 영주시
URLhttps://www.data.go.kr/data/15069531/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
전화번호 has 20 (9.1%) missing valuesMissing

Reproduction

Analysis started2023-12-12 00:10:36.742134
Analysis finished2023-12-12 00:10:38.015014
Duration1.27 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회사명
Text

Distinct211
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T09:10:38.214748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length7.4292237
Min length3

Characters and Unicode

Total characters1627
Distinct characters240
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

Unique203 ?
Unique (%)92.7%

Sample

1st row(제조)우백레이온코리아
2nd row(주)호리산업
3rd row(주)강산에코텍
4th row(주)네츄론
5th row(주)대림그린팩
ValueCountFrequency (%)
주식회사 15
 
5.5%
농업회사법인 7
 
2.6%
2공장 5
 
1.8%
영농조합법인 5
 
1.8%
1공장 4
 
1.5%
애닉스(주 3
 
1.1%
대성임업(주 2
 
0.7%
제 2
 
0.7%
머티리얼즈(주 2
 
0.7%
sk 2
 
0.7%
Other values (213) 224
82.7%
2023-12-12T09:10:38.614426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 106
 
6.5%
( 76
 
4.7%
) 76
 
4.7%
55
 
3.4%
영 41
 
2.5%
물 39
 
2.4%
인 39
 
2.4%
직 36
 
2.2%
농 34
 
2.1%
사 33
 
2.0%
Other values (230) 1092
67.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1390
85.4%
Open Punctuation 76
 
4.7%
Close Punctuation 76
 
4.7%
Space Separator 55
 
3.4%
Uppercase Letter 16
 
1.0%
Decimal Number 11
 
0.7%
Other Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 106
 
7.6%
영 41
 
2.9%
물 39
 
2.8%
인 39
 
2.8%
직 36
 
2.6%
농 34
 
2.4%
사 33
 
2.4%
회 32
 
2.3%
업 31
 
2.2%
산 31
 
2.2%
Other values (213) 968
69.6%
Uppercase Letter
ValueCountFrequency (%)
B 4
25.0%
K 3
18.8%
S 2
12.5%
F 2
12.5%
E 1
 
6.2%
X 1
 
6.2%
N 1
 
6.2%
T 1
 
6.2%
C 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
2 6
54.5%
1 4
36.4%
3 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
& 2
66.7%
. 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 76
100.0%
Close Punctuation
ValueCountFrequency (%)
) 76
100.0%
Space Separator
ValueCountFrequency (%)
55
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1390
85.4%
Common 221
 
13.6%
Latin 16
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 106
 
7.6%
영 41
 
2.9%
물 39
 
2.8%
인 39
 
2.8%
직 36
 
2.6%
농 34
 
2.4%
사 33
 
2.4%
회 32
 
2.3%
업 31
 
2.2%
산 31
 
2.2%
Other values (213) 968
69.6%
Latin
ValueCountFrequency (%)
B 4
25.0%
K 3
18.8%
S 2
12.5%
F 2
12.5%
E 1
 
6.2%
X 1
 
6.2%
N 1
 
6.2%
T 1
 
6.2%
C 1
 
6.2%
Common
ValueCountFrequency (%)
( 76
34.4%
) 76
34.4%
55
24.9%
2 6
 
2.7%
1 4
 
1.8%
& 2
 
0.9%
3 1
 
0.5%
. 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1390
85.4%
ASCII 237
 
14.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 106
 
7.6%
영 41
 
2.9%
물 39
 
2.8%
인 39
 
2.8%
직 36
 
2.6%
농 34
 
2.4%
사 33
 
2.4%
회 32
 
2.3%
업 31
 
2.2%
산 31
 
2.2%
Other values (213) 968
69.6%
ASCII
ValueCountFrequency (%)
( 76
32.1%
) 76
32.1%
55
23.2%
2 6
 
2.5%
1 4
 
1.7%
B 4
 
1.7%
K 3
 
1.3%
S 2
 
0.8%
F 2
 
0.8%
& 2
 
0.8%
Other values (7) 7
 
3.0%

단지명
Categorical

Distinct11
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
94 
영주지방산업단지
37 
영주장수농공단지
36 
영주봉현농공단지
24 
영주문수농공단지
14 
Other values (6)
14 

Length

Max length15
Median length8
Mean length5.1506849
Min length1

Unique

Unique2 ?
Unique (%)0.9%

Sample

1st row영주봉현농공단지
2nd row
3rd row영주장수농공단지
4th row
5th row영주장수농공단지

Common Values

ValueCountFrequency (%)
94
42.9%
영주지방산업단지 37
 
16.9%
영주장수농공단지 36
 
16.4%
영주봉현농공단지 24
 
11.0%
영주문수농공단지 14
 
6.4%
영주가흥일반산업단지 5
 
2.3%
영주반구전문농공단지 3
 
1.4%
영주SK머티리얼즈일반산업단지 2
 
0.9%
영주두전일반산업단지 2
 
0.9%
영주휴천농공단지 1
 
0.5%

Length

2023-12-12T09:10:38.769063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
영주지방산업단지 37
29.6%
영주장수농공단지 36
28.8%
영주봉현농공단지 24
19.2%
영주문수농공단지 14
 
11.2%
영주가흥일반산업단지 5
 
4.0%
영주반구전문농공단지 3
 
2.4%
영주sk머티리얼즈일반산업단지 2
 
1.6%
영주두전일반산업단지 2
 
1.6%
영주휴천농공단지 1
 
0.8%
영주적서농공단지 1
 
0.8%

대표자명
Text

Distinct197
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T09:10:39.131790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.1415525
Min length2

Characters and Unicode

Total characters688
Distinct characters139
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique179 ?
Unique (%)81.7%

Sample

1st row배백현
2nd row최미경
3rd row이철신
4th row이장석
5th row전세라
ValueCountFrequency (%)
배백현 3
 
1.4%
송세영 3
 
1.4%
권오현 3
 
1.4%
박영숙 3
 
1.4%
김규한 2
 
0.9%
유정우 2
 
0.9%
임민규 2
 
0.9%
권오승 2
 
0.9%
김정호 2
 
0.9%
최정호 2
 
0.9%
Other values (186) 196
89.1%
2023-12-12T09:10:39.636939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 55
 
8.0%
영 29
 
4.2%
정 29
 
4.2%
이 24
 
3.5%
박 20
 
2.9%
수 12
 
1.7%
진 12
 
1.7%
우 12
 
1.7%
현 11
 
1.6%
윤 11
 
1.6%
Other values (129) 473
68.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 672
97.7%
Space Separator 11
 
1.6%
Other Punctuation 4
 
0.6%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 55
 
8.2%
영 29
 
4.3%
정 29
 
4.3%
이 24
 
3.6%
박 20
 
3.0%
수 12
 
1.8%
진 12
 
1.8%
우 12
 
1.8%
현 11
 
1.6%
윤 11
 
1.6%
Other values (126) 457
68.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Decimal Number
ValueCountFrequency (%)
6 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 672
97.7%
Common 16
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 55
 
8.2%
영 29
 
4.3%
정 29
 
4.3%
이 24
 
3.6%
박 20
 
3.0%
수 12
 
1.8%
진 12
 
1.8%
우 12
 
1.8%
현 11
 
1.6%
윤 11
 
1.6%
Other values (126) 457
68.0%
Common
ValueCountFrequency (%)
11
68.8%
, 4
 
25.0%
6 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 672
97.7%
ASCII 16
 
2.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 55
 
8.2%
영 29
 
4.3%
정 29
 
4.3%
이 24
 
3.6%
박 20
 
3.0%
수 12
 
1.8%
진 12
 
1.8%
우 12
 
1.8%
현 11
 
1.6%
윤 11
 
1.6%
Other values (126) 457
68.0%
ASCII
ValueCountFrequency (%)
11
68.8%
, 4
 
25.0%
6 1
 
6.2%

전화번호
Text

MISSING 

Distinct178
Distinct (%)89.4%
Missing20
Missing (%)9.1%
Memory size1.8 KiB
2023-12-12T09:10:39.920234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters2388
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

Unique161 ?
Unique (%)80.9%

Sample

1st row054-636-8268
2nd row054-634-5678
3rd row054-631-3412
4th row054-634-9191
5th row054-637-3289
ValueCountFrequency (%)
054-633-6001 3
 
1.5%
054-638-2989 3
 
1.5%
054-635-3109 3
 
1.5%
054-636-2340 3
 
1.5%
054-637-3289 2
 
1.0%
054-632-9069 2
 
1.0%
054-630-8114 2
 
1.0%
054-636-4114 2
 
1.0%
054-638-7142 2
 
1.0%
054-634-5555 2
 
1.0%
Other values (168) 175
87.9%
2023-12-12T09:10:40.314771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 398
16.7%
0 324
13.6%
6 312
13.1%
3 308
12.9%
5 292
12.2%
4 278
11.6%
1 116
 
4.9%
2 105
 
4.4%
8 103
 
4.3%
7 100
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1990
83.3%
Dash Punctuation 398
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 324
16.3%
6 312
15.7%
3 308
15.5%
5 292
14.7%
4 278
14.0%
1 116
 
5.8%
2 105
 
5.3%
8 103
 
5.2%
7 100
 
5.0%
9 52
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 398
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2388
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 398
16.7%
0 324
13.6%
6 312
13.1%
3 308
12.9%
5 292
12.2%
4 278
11.6%
1 116
 
4.9%
2 105
 
4.4%
8 103
 
4.3%
7 100
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2388
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 398
16.7%
0 324
13.6%
6 312
13.1%
3 308
12.9%
5 292
12.2%
4 278
11.6%
1 116
 
4.9%
2 105
 
4.4%
8 103
 
4.3%
7 100
 
4.2%

생산품
Text

Distinct174
Distinct (%)79.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T09:10:40.643622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length21
Mean length7.260274
Min length1

Characters and Unicode

Total characters1590
Distinct characters286
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

Unique154 ?
Unique (%)70.3%

Sample

1st row인견지, 폴리에스텔, 이불
2nd row장류
3rd row기타플라스틱포대, 수방용포대, 식생토낭
4th row섬유나노코팅가공
5th row골판지박스, 칼라박스
ValueCountFrequency (%)
화섬직 25
 
6.9%
인견직 12
 
3.3%
홍삼 10
 
2.8%
쌀 6
 
1.7%
인견 6
 
1.7%
백삼 5
 
1.4%
레미콘 4
 
1.1%
등 4
 
1.1%
태극삼 4
 
1.1%
견직물 4
 
1.1%
Other values (234) 280
77.8%
2023-12-12T09:10:41.083855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
150
 
9.4%
, 102
 
6.4%
직 52
 
3.3%
삼 51
 
3.2%
화 41
 
2.6%
스 38
 
2.4%
인 37
 
2.3%
섬 33
 
2.1%
견 29
 
1.8%
홍 27
 
1.7%
Other values (276) 1030
64.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1279
80.4%
Space Separator 150
 
9.4%
Other Punctuation 104
 
6.5%
Lowercase Letter 18
 
1.1%
Uppercase Letter 13
 
0.8%
Close Punctuation 9
 
0.6%
Open Punctuation 9
 
0.6%
Decimal Number 8
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
직 52
 
4.1%
삼 51
 
4.0%
화 41
 
3.2%
스 38
 
3.0%
인 37
 
2.9%
섬 33
 
2.6%
견 29
 
2.3%
홍 27
 
2.1%
제 24
 
1.9%
기 23
 
1.8%
Other values (244) 924
72.2%
Lowercase Letter
ValueCountFrequency (%)
e 2
11.1%
i 2
11.1%
l 2
11.1%
r 2
11.1%
b 2
11.1%
c 2
11.1%
n 1
5.6%
o 1
5.6%
a 1
5.6%
d 1
5.6%
Other values (2) 2
11.1%
Uppercase Letter
ValueCountFrequency (%)
P 3
23.1%
C 2
15.4%
F 1
 
7.7%
M 1
 
7.7%
G 1
 
7.7%
E 1
 
7.7%
L 1
 
7.7%
B 1
 
7.7%
R 1
 
7.7%
T 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
0 3
37.5%
2 2
25.0%
1 1
 
12.5%
8 1
 
12.5%
4 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 102
98.1%
. 2
 
1.9%
Space Separator
ValueCountFrequency (%)
150
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1279
80.4%
Common 280
 
17.6%
Latin 31
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
직 52
 
4.1%
삼 51
 
4.0%
화 41
 
3.2%
스 38
 
3.0%
인 37
 
2.9%
섬 33
 
2.6%
견 29
 
2.3%
홍 27
 
2.1%
제 24
 
1.9%
기 23
 
1.8%
Other values (244) 924
72.2%
Latin
ValueCountFrequency (%)
P 3
 
9.7%
e 2
 
6.5%
i 2
 
6.5%
l 2
 
6.5%
C 2
 
6.5%
r 2
 
6.5%
b 2
 
6.5%
c 2
 
6.5%
F 1
 
3.2%
n 1
 
3.2%
Other values (12) 12
38.7%
Common
ValueCountFrequency (%)
150
53.6%
, 102
36.4%
) 9
 
3.2%
( 9
 
3.2%
0 3
 
1.1%
. 2
 
0.7%
2 2
 
0.7%
1 1
 
0.4%
8 1
 
0.4%
4 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1279
80.4%
ASCII 311
 
19.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
150
48.2%
, 102
32.8%
) 9
 
2.9%
( 9
 
2.9%
0 3
 
1.0%
P 3
 
1.0%
e 2
 
0.6%
i 2
 
0.6%
l 2
 
0.6%
. 2
 
0.6%
Other values (22) 27
 
8.7%
Hangul
ValueCountFrequency (%)
직 52
 
4.1%
삼 51
 
4.0%
화 41
 
3.2%
스 38
 
3.0%
인 37
 
2.9%
섬 33
 
2.6%
견 29
 
2.3%
홍 27
 
2.1%
제 24
 
1.9%
기 23
 
1.8%
Other values (244) 924
72.2%

공장대표도로명주소
Text

Distinct196
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T09:10:41.283437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length34
Mean length24.173516
Min length19

Characters and Unicode

Total characters5294
Distinct characters117
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique179 ?
Unique (%)81.7%

Sample

1st row경상북도 영주시 봉현면 신재로841번길 9
2nd row경상북도 영주시 창진로 27 (가흥동)
3rd row경상북도 영주시 장수면 장수로220번길 33
4th row경상북도 영주시 풍기읍 동양대로 145, 동양대학교(창업보육센터) (현암관)
5th row경상북도 영주시 장수면 장수로220번길 41
ValueCountFrequency (%)
영주시 221
20.0%
경상북도 219
19.8%
봉현면 57
 
5.2%
장수면 53
 
4.8%
소백로1701번길 37
 
3.4%
장수로220번길 36
 
3.3%
풍기읍 34
 
3.1%
반구로 20
 
1.8%
휴천동 16
 
1.4%
문수면 15
 
1.4%
Other values (232) 396
35.9%
2023-12-12T09:10:41.587320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
885
 
16.7%
1 257
 
4.9%
주 233
 
4.4%
상 231
 
4.4%
영 224
 
4.2%
시 221
 
4.2%
경 219
 
4.1%
북 219
 
4.1%
도 219
 
4.1%
로 218
 
4.1%
Other values (107) 2368
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3181
60.1%
Decimal Number 1051
 
19.9%
Space Separator 885
 
16.7%
Dash Punctuation 76
 
1.4%
Close Punctuation 49
 
0.9%
Open Punctuation 49
 
0.9%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 233
 
7.3%
상 231
 
7.3%
영 224
 
7.0%
시 221
 
6.9%
경 219
 
6.9%
북 219
 
6.9%
도 219
 
6.9%
로 218
 
6.9%
면 141
 
4.4%
번 126
 
4.0%
Other values (92) 1130
35.5%
Decimal Number
ValueCountFrequency (%)
1 257
24.5%
2 155
14.7%
0 118
11.2%
8 108
10.3%
3 91
 
8.7%
7 88
 
8.4%
4 77
 
7.3%
5 60
 
5.7%
9 54
 
5.1%
6 43
 
4.1%
Space Separator
ValueCountFrequency (%)
885
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3181
60.1%
Common 2113
39.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 233
 
7.3%
상 231
 
7.3%
영 224
 
7.0%
시 221
 
6.9%
경 219
 
6.9%
북 219
 
6.9%
도 219
 
6.9%
로 218
 
6.9%
면 141
 
4.4%
번 126
 
4.0%
Other values (92) 1130
35.5%
Common
ValueCountFrequency (%)
885
41.9%
1 257
 
12.2%
2 155
 
7.3%
0 118
 
5.6%
8 108
 
5.1%
3 91
 
4.3%
7 88
 
4.2%
4 77
 
3.6%
- 76
 
3.6%
5 60
 
2.8%
Other values (5) 198
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3181
60.1%
ASCII 2113
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
885
41.9%
1 257
 
12.2%
2 155
 
7.3%
0 118
 
5.6%
8 108
 
5.1%
3 91
 
4.3%
7 88
 
4.2%
4 77
 
3.6%
- 76
 
3.6%
5 60
 
2.8%
Other values (5) 198
 
9.4%
Hangul
ValueCountFrequency (%)
주 233
 
7.3%
상 231
 
7.3%
영 224
 
7.0%
시 221
 
6.9%
경 219
 
6.9%
북 219
 
6.9%
도 219
 
6.9%
로 218
 
6.9%
면 141
 
4.4%
번 126
 
4.0%
Other values (92) 1130
35.5%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct207
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.828
Minimum36.7325
Maximum36.939796
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-12T09:10:41.715505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.7325
5-th percentile36.773981
Q136.787823
median36.831275
Q336.860881
95-th percentile36.883994
Maximum36.939796
Range0.2072969
Interquartile range (IQR)0.0730574

Descriptive statistics

Standard deviation0.038946924
Coefficient of variation (CV)0.0010575357
Kurtosis-1.1184455
Mean36.828
Median Absolute Deviation (MAD)0.0327095
Skewness0.02253709
Sum8065.332
Variance0.0015168629
MonotonicityNot monotonic
2023-12-12T09:10:41.851236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.8617265 2
 
0.9%
36.7729477 2
 
0.9%
36.8541915 2
 
0.9%
36.8259226 2
 
0.9%
36.7866767 2
 
0.9%
36.7875233 2
 
0.9%
36.8526734 2
 
0.9%
36.7878846 2
 
0.9%
36.8016411 2
 
0.9%
36.7878232 2
 
0.9%
Other values (197) 199
90.9%
ValueCountFrequency (%)
36.7324995 1
0.5%
36.7711631 1
0.5%
36.7724764 1
0.5%
36.7726853 1
0.5%
36.7729477 2
0.9%
36.7733091 1
0.5%
36.7738957 1
0.5%
36.7739147 1
0.5%
36.7739516 1
0.5%
36.7739691 1
0.5%
ValueCountFrequency (%)
36.9397964 1
0.5%
36.9114406 1
0.5%
36.9015511 1
0.5%
36.8977884 1
0.5%
36.8892389 1
0.5%
36.8885286 1
0.5%
36.8883558 1
0.5%
36.8872002 1
0.5%
36.8866694 1
0.5%
36.884976 1
0.5%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct208
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.57241
Minimum128.47795
Maximum128.73482
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-12T09:10:42.021746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.47795
5-th percentile128.52111
Q1128.52899
median128.58267
Q3128.61161
95-th percentile128.6352
Maximum128.73482
Range0.256874
Interquartile range (IQR)0.0826143

Descriptive statistics

Standard deviation0.046622525
Coefficient of variation (CV)0.00036261686
Kurtosis-0.47116851
Mean128.57241
Median Absolute Deviation (MAD)0.0497206
Skewness0.42500726
Sum28157.359
Variance0.0021736599
MonotonicityNot monotonic
2023-12-12T09:10:42.293921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.5308224 2
 
0.9%
128.6330987 2
 
0.9%
128.5223214 2
 
0.9%
128.5930049 2
 
0.9%
128.5920968 2
 
0.9%
128.5226591 2
 
0.9%
128.5289934 2
 
0.9%
128.6150043 2
 
0.9%
128.5959933 2
 
0.9%
128.5952091 2
 
0.9%
Other values (198) 199
90.9%
ValueCountFrequency (%)
128.4779469 1
0.5%
128.4899089 1
0.5%
128.4989074 1
0.5%
128.506141 1
0.5%
128.5186075 1
0.5%
128.5198161 1
0.5%
128.5202719 1
0.5%
128.520655 1
0.5%
128.5207377 1
0.5%
128.5208789 1
0.5%
ValueCountFrequency (%)
128.7348209 1
0.5%
128.7081132 1
0.5%
128.68904 1
0.5%
128.6696133 1
0.5%
128.6693636 1
0.5%
128.6689611 1
0.5%
128.6501557 1
0.5%
128.649925 1
0.5%
128.6440036 1
0.5%
128.639478 1
0.5%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2016-06-01 00:00:00
Maximum2016-06-01 00:00:00
2023-12-12T09:10:42.440116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:10:42.563967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T09:10:37.635322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:10:37.231981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:10:37.705265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:10:37.551635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:10:42.648706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단지명위도경도
단지명1.0000.7880.784
위도0.7881.0000.891
경도0.7840.8911.000
2023-12-12T09:10:42.749447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도단지명
위도1.000-0.6100.487
경도-0.6101.0000.482
단지명0.4870.4821.000

Missing values

2023-12-12T09:10:37.802790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:10:37.950577image/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

회사명단지명대표자명전화번호생산품공장대표도로명주소위도경도데이터기준일자
0(제조)우백레이온코리아영주봉현농공단지배백현054-636-8268인견지, 폴리에스텔, 이불경상북도 영주시 봉현면 신재로841번길 936.861727128.5308222016-06-01
1(주)호리산업최미경054-634-5678장류경상북도 영주시 창진로 27 (가흥동)36.833662128.6125812016-06-01
2(주)강산에코텍영주장수농공단지이철신054-631-3412기타플라스틱포대, 수방용포대, 식생토낭경상북도 영주시 장수면 장수로220번길 3336.787995128.5947172016-06-01
3(주)네츄론이장석054-634-9191섬유나노코팅가공경상북도 영주시 풍기읍 동양대로 145, 동양대학교(창업보육센터) (현암관)36.883554128.5323932016-06-01
4(주)대림그린팩영주장수농공단지전세라054-637-3289골판지박스, 칼라박스경상북도 영주시 장수면 장수로220번길 4136.788489128.5957132016-06-01
5(주)대림물산영주장수농공단지전세라054-637-3289플라스틱제품경상북도 영주시 장수면 장수로220번길 4836.786884128.5963972016-06-01
6(주)대영목재김예환054-633-6877제재목경상북도 영주시 원당로 419 (상망동)36.84025128.6501562016-06-01
7(주)대영스틸영주장수농공단지박남일054-632-7777금속선 제품외경상북도 영주시 장수면 장수로220번길 4336.787874128.5959292016-06-01
8(주)대창아스콘정병대054-635-4802아스콘 제조경상북도 영주시 구성로88번길 86 (휴천동)36.804717128.6332452016-06-01
9(주)동신레미콘영주장수농공단지유정우054-638-2989레미콘경상북도 영주시 장수면 장수로220번길 5736.787178128.598112016-06-01
회사명단지명대표자명전화번호생산품공장대표도로명주소위도경도데이터기준일자
209한빛제어영주장수농공단지이덕화054-634-1701전기배전함, 가로등주경상북도 영주시 장수면 장수로220번길 2136.787562128.5928262016-06-01
210한올섬유영주봉현농공단지이순영054-636-2237화섬직, 견직물경상북도 영주시 봉현면 신재로841번길 9-1636.860738128.5317492016-06-01
211한일화학김성원054-635-4396발포 폴리스티렌 보온재경상북도 영주시 구성로88번길 178 (휴천동)36.808759128.6351822016-06-01
212해성직물영주지방산업단지안시명054-638-4848화섬직, 인견경상북도 영주시 봉현면 소백로1701번길 15836.853652128.5247322016-06-01
213해성직물 2공장영주지방산업단지안시명054-638-4848폴리에스터원단경상북도 영주시 봉현면 소백로1701번길 14936.853377128.52372016-06-01
214현대기업박귀옥054-634-6300트랙링크경상북도 영주시 장수면 장수로342번길 2136.795858128.5891312016-06-01
215현대레미콘(주)서정우,서정표054-633-0063시멘트레미콘재조경상북도 영주시 영주시 신재로 129 (가흥동)36.830251128.5982572016-06-01
216현대싸이징영주지방산업단지유기태054-636-1355싸이징처리경상북도 영주시 봉현면 소백로1701번길 7036.854004128.5212322016-06-01
217현재농원박찬웅054-632-0231천연조미료경상북도 영주시 조와로 4 (고현동)36.84312128.614652016-06-01
218화미하회식품김만수054-634-5555장류, 분쇄참깨경상북도 영주시 구성로88번길 118 (휴천동)36.806192128.633982016-06-01