Overview

Dataset statistics

Number of variables10
Number of observations178
Missing cells59
Missing cells (%)3.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.4 KiB
Average record size in memory82.7 B

Variable types

Text7
Numeric2
Categorical1

Dataset

Description경상남도 거창군 내 공장등록현황(제조업)에 대한 데이터로 회사명, 대표자명, 전화번호, 팩스번호, 소재지 도로명주소, 소재지 지번주소, 생산품을 제공합니다.
Author경상남도 거창군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15044917

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 24 (13.5%) missing valuesMissing
팩스번호 has 35 (19.7%) missing valuesMissing

Reproduction

Analysis started2023-12-11 00:17:30.058849
Analysis finished2023-12-11 00:17:31.378199
Duration1.32 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회사명
Text

Distinct177
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T09:17:31.569986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length17
Mean length8.7247191
Min length2

Characters and Unicode

Total characters1553
Distinct characters238
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique176 ?
Unique (%)98.9%

Sample

1st row(사)느티나무경남장애인부모회거창군지부(거창군장애인근로사업장)
2nd row(재)거창화강석연구센터
3rd row(주)금보엘리베이터
4th row(주)금산기계
5th row(주)금산산기
ValueCountFrequency (%)
주식회사 34
 
14.5%
농업회사법인 12
 
5.1%
한국철강산업(주 2
 
0.9%
홍덕산업(주 2
 
0.9%
덕유농산영농조합법인 2
 
0.9%
거창사과원예농협청과물종합처리장 1
 
0.4%
주)남한정비 1
 
0.4%
화신기업 1
 
0.4%
흥보석재 1
 
0.4%
주)천둥소리 1
 
0.4%
Other values (178) 178
75.7%
2023-12-11T09:17:31.931009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 108
 
7.0%
( 74
 
4.8%
) 74
 
4.8%
사 69
 
4.4%
회 61
 
3.9%
57
 
3.7%
식 45
 
2.9%
농 41
 
2.6%
업 41
 
2.6%
산 32
 
2.1%
Other values (228) 951
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1319
84.9%
Open Punctuation 74
 
4.8%
Close Punctuation 74
 
4.8%
Space Separator 57
 
3.7%
Uppercase Letter 18
 
1.2%
Decimal Number 6
 
0.4%
Other Symbol 4
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 108
 
8.2%
사 69
 
5.2%
회 61
 
4.6%
식 45
 
3.4%
농 41
 
3.1%
업 41
 
3.1%
산 32
 
2.4%
이 31
 
2.4%
인 29
 
2.2%
창 26
 
2.0%
Other values (211) 836
63.4%
Uppercase Letter
ValueCountFrequency (%)
S 5
27.8%
C 3
16.7%
E 2
 
11.1%
T 2
 
11.1%
L 1
 
5.6%
J 1
 
5.6%
A 1
 
5.6%
H 1
 
5.6%
G 1
 
5.6%
R 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
2 5
83.3%
1 1
 
16.7%
Open Punctuation
ValueCountFrequency (%)
( 74
100.0%
Close Punctuation
ValueCountFrequency (%)
) 74
100.0%
Space Separator
ValueCountFrequency (%)
57
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1323
85.2%
Common 212
 
13.7%
Latin 18
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 108
 
8.2%
사 69
 
5.2%
회 61
 
4.6%
식 45
 
3.4%
농 41
 
3.1%
업 41
 
3.1%
산 32
 
2.4%
이 31
 
2.3%
인 29
 
2.2%
창 26
 
2.0%
Other values (212) 840
63.5%
Latin
ValueCountFrequency (%)
S 5
27.8%
C 3
16.7%
E 2
 
11.1%
T 2
 
11.1%
L 1
 
5.6%
J 1
 
5.6%
A 1
 
5.6%
H 1
 
5.6%
G 1
 
5.6%
R 1
 
5.6%
Common
ValueCountFrequency (%)
( 74
34.9%
) 74
34.9%
57
26.9%
2 5
 
2.4%
- 1
 
0.5%
1 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1319
84.9%
ASCII 230
 
14.8%
None 4
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 108
 
8.2%
사 69
 
5.2%
회 61
 
4.6%
식 45
 
3.4%
농 41
 
3.1%
업 41
 
3.1%
산 32
 
2.4%
이 31
 
2.4%
인 29
 
2.2%
창 26
 
2.0%
Other values (211) 836
63.4%
ASCII
ValueCountFrequency (%)
( 74
32.2%
) 74
32.2%
57
24.8%
S 5
 
2.2%
2 5
 
2.2%
C 3
 
1.3%
E 2
 
0.9%
T 2
 
0.9%
L 1
 
0.4%
- 1
 
0.4%
Other values (6) 6
 
2.6%
None
ValueCountFrequency (%)
㈜ 4
100.0%

대표자명
Text

Distinct165
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T09:17:32.203574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length3
Mean length3.247191
Min length2

Characters and Unicode

Total characters578
Distinct characters128
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique153 ?
Unique (%)86.0%

Sample

1st row김경회
2nd row구인모
3rd row김영환
4th row조수현
5th row조수현
ValueCountFrequency (%)
조수현 3
 
1.6%
박재민 2
 
1.1%
강종희 2
 
1.1%
주종대 2
 
1.1%
정재준 2
 
1.1%
김태동 2
 
1.1%
김정태 2
 
1.1%
홍점순 2
 
1.1%
김동한 2
 
1.1%
최성림 2
 
1.1%
Other values (160) 163
88.6%
2023-12-11T09:17:32.782378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 44
 
7.6%
정 24
 
4.2%
이 23
 
4.0%
성 20
 
3.5%
종 16
 
2.8%
수 15
 
2.6%
영 15
 
2.6%
박 12
 
2.1%
최 11
 
1.9%
용 11
 
1.9%
Other values (118) 387
67.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 563
97.4%
Other Punctuation 9
 
1.6%
Space Separator 6
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 44
 
7.8%
정 24
 
4.3%
이 23
 
4.1%
성 20
 
3.6%
종 16
 
2.8%
수 15
 
2.7%
영 15
 
2.7%
박 12
 
2.1%
최 11
 
2.0%
용 11
 
2.0%
Other values (116) 372
66.1%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 563
97.4%
Common 15
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 44
 
7.8%
정 24
 
4.3%
이 23
 
4.1%
성 20
 
3.6%
종 16
 
2.8%
수 15
 
2.7%
영 15
 
2.7%
박 12
 
2.1%
최 11
 
2.0%
용 11
 
2.0%
Other values (116) 372
66.1%
Common
ValueCountFrequency (%)
, 9
60.0%
6
40.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 563
97.4%
ASCII 15
 
2.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 44
 
7.8%
정 24
 
4.3%
이 23
 
4.1%
성 20
 
3.6%
종 16
 
2.8%
수 15
 
2.7%
영 15
 
2.7%
박 12
 
2.1%
최 11
 
2.0%
용 11
 
2.0%
Other values (116) 372
66.1%
ASCII
ValueCountFrequency (%)
, 9
60.0%
6
40.0%

전화번호
Text

MISSING 

Distinct147
Distinct (%)95.5%
Missing24
Missing (%)13.5%
Memory size1.5 KiB
2023-12-11T09:17:33.055123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.045455
Min length11

Characters and Unicode

Total characters1855
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

Unique141 ?
Unique (%)91.6%

Sample

1st row055-943-2345
2nd row055-943-3924
3rd row055-345-9501
4th row055-343-9501
5th row055-343-9501
ValueCountFrequency (%)
055-945-0386 3
 
1.9%
055-943-5805 2
 
1.3%
055-945-0078 2
 
1.3%
055-945-5435 2
 
1.3%
055-343-9501 2
 
1.3%
070-4282-5921 2
 
1.3%
055-941-2140 1
 
0.6%
055-945-2676 1
 
0.6%
055-945-9770 1
 
0.6%
055-942-9191 1
 
0.6%
Other values (137) 137
89.0%
2023-12-11T09:17:33.558997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 401
21.6%
- 308
16.6%
0 277
14.9%
9 196
10.6%
4 183
9.9%
3 110
 
5.9%
1 109
 
5.9%
2 84
 
4.5%
8 73
 
3.9%
7 71
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1547
83.4%
Dash Punctuation 308
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 401
25.9%
0 277
17.9%
9 196
12.7%
4 183
11.8%
3 110
 
7.1%
1 109
 
7.0%
2 84
 
5.4%
8 73
 
4.7%
7 71
 
4.6%
6 43
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 308
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1855
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 401
21.6%
- 308
16.6%
0 277
14.9%
9 196
10.6%
4 183
9.9%
3 110
 
5.9%
1 109
 
5.9%
2 84
 
4.5%
8 73
 
3.9%
7 71
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1855
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 401
21.6%
- 308
16.6%
0 277
14.9%
9 196
10.6%
4 183
9.9%
3 110
 
5.9%
1 109
 
5.9%
2 84
 
4.5%
8 73
 
3.9%
7 71
 
3.8%

팩스번호
Text

MISSING 

Distinct135
Distinct (%)94.4%
Missing35
Missing (%)19.7%
Memory size1.5 KiB
2023-12-11T09:17:33.818718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.041958
Min length11

Characters and Unicode

Total characters1722
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

Unique128 ?
Unique (%)89.5%

Sample

1st row055-943-2335
2nd row051-326-8011
3rd row055-944-9505
4th row055-944-9505
5th row055-941-0893
ValueCountFrequency (%)
055-944-9505 3
 
2.1%
055-943-5859 2
 
1.4%
055-942-4029 2
 
1.4%
055-945-1960 2
 
1.4%
055-943-8376 2
 
1.4%
055-943-1702 2
 
1.4%
055-943-2381 2
 
1.4%
055-943-2309 1
 
0.7%
055-944-0137 1
 
0.7%
055-945-3303 1
 
0.7%
Other values (125) 125
87.4%
2023-12-11T09:17:34.231810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 359
20.8%
- 286
16.6%
0 232
13.5%
9 187
10.9%
4 186
10.8%
3 113
 
6.6%
2 90
 
5.2%
1 89
 
5.2%
7 72
 
4.2%
8 64
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1436
83.4%
Dash Punctuation 286
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 359
25.0%
0 232
16.2%
9 187
13.0%
4 186
13.0%
3 113
 
7.9%
2 90
 
6.3%
1 89
 
6.2%
7 72
 
5.0%
8 64
 
4.5%
6 44
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 286
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1722
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 359
20.8%
- 286
16.6%
0 232
13.5%
9 187
10.9%
4 186
10.8%
3 113
 
6.6%
2 90
 
5.2%
1 89
 
5.2%
7 72
 
4.2%
8 64
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1722
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 359
20.8%
- 286
16.6%
0 232
13.5%
9 187
10.9%
4 186
10.8%
3 113
 
6.6%
2 90
 
5.2%
1 89
 
5.2%
7 72
 
4.2%
8 64
 
3.7%

소재지도로명주소
Text

Distinct168
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T09:17:34.678254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length36
Mean length25.696629
Min length19

Characters and Unicode

Total characters4574
Distinct characters175
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

Unique158 ?
Unique (%)88.8%

Sample

1st row경상남도 거창군 남상면 일반산업길 160 (남상면)
2nd row경상남도 거창군 위천면 화리골길 103-10
3rd row경상남도 거창군 남상면 승강기길 91
4th row경상남도 거창군 남상면 승강기단지3길 73 외 1필지
5th row경상남도 거창군 남상면 일반산업길 175 외 1필지
ValueCountFrequency (%)
경상남도 178
17.9%
거창군 178
17.9%
남상면 73
 
7.3%
위천면 37
 
3.7%
거창읍 33
 
3.3%
밤티재로 21
 
2.1%
일반산업길 18
 
1.8%
화리골길 16
 
1.6%
홍덕길 16
 
1.6%
가조면 15
 
1.5%
Other values (271) 411
41.3%
2023-12-11T09:17:35.221303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
818
17.9%
남 269
 
5.9%
상 259
 
5.7%
거 233
 
5.1%
창 222
 
4.9%
도 179
 
3.9%
군 178
 
3.9%
경 178
 
3.9%
면 152
 
3.3%
1 148
 
3.2%
Other values (165) 1938
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2913
63.7%
Space Separator 818
 
17.9%
Decimal Number 641
 
14.0%
Open Punctuation 73
 
1.6%
Close Punctuation 72
 
1.6%
Dash Punctuation 45
 
1.0%
Other Punctuation 10
 
0.2%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 269
 
9.2%
상 259
 
8.9%
거 233
 
8.0%
창 222
 
7.6%
도 179
 
6.1%
군 178
 
6.1%
경 178
 
6.1%
면 152
 
5.2%
길 111
 
3.8%
로 58
 
2.0%
Other values (148) 1074
36.9%
Decimal Number
ValueCountFrequency (%)
1 148
23.1%
3 102
15.9%
2 86
13.4%
0 53
 
8.3%
5 49
 
7.6%
7 48
 
7.5%
6 42
 
6.6%
4 39
 
6.1%
8 37
 
5.8%
9 37
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
818
100.0%
Open Punctuation
ValueCountFrequency (%)
( 73
100.0%
Close Punctuation
ValueCountFrequency (%)
) 72
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2913
63.7%
Common 1659
36.3%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 269
 
9.2%
상 259
 
8.9%
거 233
 
8.0%
창 222
 
7.6%
도 179
 
6.1%
군 178
 
6.1%
경 178
 
6.1%
면 152
 
5.2%
길 111
 
3.8%
로 58
 
2.0%
Other values (148) 1074
36.9%
Common
ValueCountFrequency (%)
818
49.3%
1 148
 
8.9%
3 102
 
6.1%
2 86
 
5.2%
( 73
 
4.4%
) 72
 
4.3%
0 53
 
3.2%
5 49
 
3.0%
7 48
 
2.9%
- 45
 
2.7%
Other values (5) 165
 
9.9%
Latin
ValueCountFrequency (%)
S 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2913
63.7%
ASCII 1661
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
818
49.2%
1 148
 
8.9%
3 102
 
6.1%
2 86
 
5.2%
( 73
 
4.4%
) 72
 
4.3%
0 53
 
3.2%
5 49
 
3.0%
7 48
 
2.9%
- 45
 
2.7%
Other values (7) 167
 
10.1%
Hangul
ValueCountFrequency (%)
남 269
 
9.2%
상 259
 
8.9%
거 233
 
8.0%
창 222
 
7.6%
도 179
 
6.1%
군 178
 
6.1%
경 178
 
6.1%
면 152
 
5.2%
길 111
 
3.8%
로 58
 
2.0%
Other values (148) 1074
36.9%

소재지지번주소
Text

Distinct170
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T09:17:35.809941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length38
Mean length25.224719
Min length16

Characters and Unicode

Total characters4490
Distinct characters151
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique162 ?
Unique (%)91.0%

Sample

1st row경상남도 거창군 남상면 대산리 1546번지
2nd row경상남도 거창군 위천면 남산리 105-22번지
3rd row경상남도 거창군 남상면 대산리 1582번지
4th row경상남도 거창군 남상면 대산리 2400번지 외 1필지
5th row경상남도 거창군 남상면 대산리 1558번지 외 1필지
ValueCountFrequency (%)
경상남도 178
18.5%
거창군 178
18.5%
남상면 71
 
7.4%
대산리 66
 
6.8%
위천면 35
 
3.6%
거창읍 33
 
3.4%
정장리 26
 
2.7%
남산리 19
 
2.0%
가조면 14
 
1.5%
석강리 14
 
1.5%
Other values (251) 330
34.2%
2023-12-11T09:17:36.254233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
786
17.5%
남 277
 
6.2%
상 255
 
5.7%
거 216
 
4.8%
창 215
 
4.8%
1 187
 
4.2%
리 185
 
4.1%
도 179
 
4.0%
군 179
 
4.0%
경 178
 
4.0%
Other values (141) 1833
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2865
63.8%
Space Separator 786
 
17.5%
Decimal Number 731
 
16.3%
Dash Punctuation 85
 
1.9%
Close Punctuation 10
 
0.2%
Open Punctuation 10
 
0.2%
Uppercase Letter 2
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 277
 
9.7%
상 255
 
8.9%
거 216
 
7.5%
창 215
 
7.5%
리 185
 
6.5%
도 179
 
6.2%
군 179
 
6.2%
경 178
 
6.2%
지 174
 
6.1%
번 156
 
5.4%
Other values (124) 851
29.7%
Decimal Number
ValueCountFrequency (%)
1 187
25.6%
5 108
14.8%
0 97
13.3%
2 78
10.7%
4 63
 
8.6%
3 48
 
6.6%
9 40
 
5.5%
8 38
 
5.2%
7 38
 
5.2%
6 34
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
786
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 85
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2866
63.8%
Common 1622
36.1%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 277
 
9.7%
상 255
 
8.9%
거 216
 
7.5%
창 215
 
7.5%
리 185
 
6.5%
도 179
 
6.2%
군 179
 
6.2%
경 178
 
6.2%
지 174
 
6.1%
번 156
 
5.4%
Other values (125) 852
29.7%
Common
ValueCountFrequency (%)
786
48.5%
1 187
 
11.5%
5 108
 
6.7%
0 97
 
6.0%
- 85
 
5.2%
2 78
 
4.8%
4 63
 
3.9%
3 48
 
3.0%
9 40
 
2.5%
8 38
 
2.3%
Other values (4) 92
 
5.7%
Latin
ValueCountFrequency (%)
S 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2865
63.8%
ASCII 1624
36.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
786
48.4%
1 187
 
11.5%
5 108
 
6.7%
0 97
 
6.0%
- 85
 
5.2%
2 78
 
4.8%
4 63
 
3.9%
3 48
 
3.0%
9 40
 
2.5%
8 38
 
2.3%
Other values (6) 94
 
5.8%
Hangul
ValueCountFrequency (%)
남 277
 
9.7%
상 255
 
8.9%
거 216
 
7.5%
창 215
 
7.5%
리 185
 
6.5%
도 179
 
6.2%
군 179
 
6.2%
경 178
 
6.2%
지 174
 
6.1%
번 156
 
5.4%
Other values (124) 851
29.7%
None
ValueCountFrequency (%)
㈜ 1
100.0%

위도
Real number (ℝ)

Distinct160
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.691411
Minimum35.572405
Maximum35.889034
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T09:17:36.417175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.572405
5-th percentile35.650041
Q135.654187
median35.670391
Q335.73745
95-th percentile35.783993
Maximum35.889034
Range0.31662881
Interquartile range (IQR)0.083263053

Descriptive statistics

Standard deviation0.054013817
Coefficient of variation (CV)0.0015133562
Kurtosis2.7834312
Mean35.691411
Median Absolute Deviation (MAD)0.01817609
Skewness1.5420664
Sum6353.0711
Variance0.0029174924
MonotonicityNot monotonic
2023-12-11T09:17:36.580370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.65620557 3
 
1.7%
35.70202459 2
 
1.1%
35.65143665 2
 
1.1%
35.67037437 2
 
1.1%
35.65718588 2
 
1.1%
35.75224656 2
 
1.1%
35.65221487 2
 
1.1%
35.66958423 2
 
1.1%
35.65394994 2
 
1.1%
35.6533105 2
 
1.1%
Other values (150) 157
88.2%
ValueCountFrequency (%)
35.5724048 1
0.6%
35.60100776 1
0.6%
35.61501984 1
0.6%
35.63263207 1
0.6%
35.63870903 1
0.6%
35.64549151 1
0.6%
35.64649468 1
0.6%
35.64672636 1
0.6%
35.6497786 1
0.6%
35.65008766 1
0.6%
ValueCountFrequency (%)
35.88903361 1
0.6%
35.87881283 1
0.6%
35.87801211 1
0.6%
35.87417893 1
0.6%
35.87178074 1
0.6%
35.86020963 1
0.6%
35.83404452 1
0.6%
35.78838622 1
0.6%
35.78646107 1
0.6%
35.78355804 1
0.6%

경도
Real number (ℝ)

Distinct160
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.91521
Minimum127.81458
Maximum128.03119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T09:17:36.761386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.81458
5-th percentile127.84129
Q1127.87695
median127.92772
Q3127.93222
95-th percentile128.02687
Maximum128.03119
Range0.2166086
Interquartile range (IQR)0.055266075

Descriptive statistics

Standard deviation0.048971589
Coefficient of variation (CV)0.00038284413
Kurtosis0.39933743
Mean127.91521
Median Absolute Deviation (MAD)0.008111
Skewness0.25706974
Sum22768.908
Variance0.0023982165
MonotonicityNot monotonic
2023-12-11T09:17:36.913543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.9196111 3
 
1.7%
127.9446754 2
 
1.1%
127.9321033 2
 
1.1%
127.9296187 2
 
1.1%
127.9295858 2
 
1.1%
127.859243 2
 
1.1%
127.9322209 2
 
1.1%
127.929785 2
 
1.1%
127.922603 2
 
1.1%
127.924566 2
 
1.1%
Other values (150) 157
88.2%
ValueCountFrequency (%)
127.8145815 1
0.6%
127.8255026 1
0.6%
127.8294217 1
0.6%
127.8308692 1
0.6%
127.8317802 1
0.6%
127.8380362 1
0.6%
127.8401587 1
0.6%
127.8404491 1
0.6%
127.8411985 1
0.6%
127.8413118 1
0.6%
ValueCountFrequency (%)
128.0311901 1
0.6%
128.0306738 1
0.6%
128.0301014 1
0.6%
128.0293606 1
0.6%
128.0282088 1
0.6%
128.027835 1
0.6%
128.0274457 1
0.6%
128.0269556 1
0.6%
128.026869 2
1.1%
128.0260417 1
0.6%

생산품
Text

Distinct151
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T09:17:37.173667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length21
Mean length8.9213483
Min length1

Characters and Unicode

Total characters1588
Distinct characters286
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique138 ?
Unique (%)77.5%

Sample

1st row골판지 상자
2nd row광촉매코팅석
3rd row승강기
4th row승강기부품
5th row엘리베이터 부품
ValueCountFrequency (%)
승강기 18
 
5.4%
부품 11
 
3.3%
승강기부품 8
 
2.4%
엘리베이터 7
 
2.1%
및 7
 
2.1%
등 5
 
1.5%
경계석.건축석 4
 
1.2%
레미콘 4
 
1.2%
경계석 4
 
1.2%
절임배추 3
 
0.9%
Other values (246) 261
78.6%
2023-12-11T09:17:37.567814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
154
 
9.7%
, 90
 
5.7%
기 71
 
4.5%
품 51
 
3.2%
석 35
 
2.2%
부 33
 
2.1%
강 32
 
2.0%
승 31
 
2.0%
계 26
 
1.6%
제 25
 
1.6%
Other values (276) 1040
65.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1291
81.3%
Space Separator 154
 
9.7%
Other Punctuation 106
 
6.7%
Close Punctuation 14
 
0.9%
Open Punctuation 14
 
0.9%
Uppercase Letter 6
 
0.4%
Dash Punctuation 1
 
0.1%
Lowercase Letter 1
 
0.1%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 71
 
5.5%
품 51
 
4.0%
석 35
 
2.7%
부 33
 
2.6%
강 32
 
2.5%
승 31
 
2.4%
계 26
 
2.0%
제 25
 
1.9%
재 24
 
1.9%
장 21
 
1.6%
Other values (262) 942
73.0%
Uppercase Letter
ValueCountFrequency (%)
F 1
16.7%
R 1
16.7%
P 1
16.7%
D 1
16.7%
E 1
16.7%
L 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 90
84.9%
. 16
 
15.1%
Space Separator
ValueCountFrequency (%)
154
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 1
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1291
81.3%
Common 290
 
18.3%
Latin 7
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 71
 
5.5%
품 51
 
4.0%
석 35
 
2.7%
부 33
 
2.6%
강 32
 
2.5%
승 31
 
2.4%
계 26
 
2.0%
제 25
 
1.9%
재 24
 
1.9%
장 21
 
1.6%
Other values (262) 942
73.0%
Common
ValueCountFrequency (%)
154
53.1%
, 90
31.0%
. 16
 
5.5%
) 14
 
4.8%
( 14
 
4.8%
- 1
 
0.3%
1 1
 
0.3%
Latin
ValueCountFrequency (%)
k 1
14.3%
F 1
14.3%
R 1
14.3%
P 1
14.3%
D 1
14.3%
E 1
14.3%
L 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1291
81.3%
ASCII 297
 
18.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
154
51.9%
, 90
30.3%
. 16
 
5.4%
) 14
 
4.7%
( 14
 
4.7%
- 1
 
0.3%
k 1
 
0.3%
1 1
 
0.3%
F 1
 
0.3%
R 1
 
0.3%
Other values (4) 4
 
1.3%
Hangul
ValueCountFrequency (%)
기 71
 
5.5%
품 51
 
4.0%
석 35
 
2.7%
부 33
 
2.6%
강 32
 
2.5%
승 31
 
2.4%
계 26
 
2.0%
제 25
 
1.9%
재 24
 
1.9%
장 21
 
1.6%
Other values (262) 942
73.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2022-10-14
178 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-10-14
2nd row2022-10-14
3rd row2022-10-14
4th row2022-10-14
5th row2022-10-14

Common Values

ValueCountFrequency (%)
2022-10-14 178
100.0%

Length

2023-12-11T09:17:37.700829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:17:37.805841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-10-14 178
100.0%

Interactions

2023-12-11T09:17:30.880610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:17:30.702561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:17:30.960674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:17:30.796959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:17:37.867121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.877
경도0.8771.000
2023-12-11T09:17:37.959257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.000-0.470
경도-0.4701.000

Missing values

2023-12-11T09:17:31.082537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:17:31.216388image/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.
2023-12-11T09:17:31.329591image/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

회사명대표자명전화번호팩스번호소재지도로명주소소재지지번주소위도경도생산품데이터기준일자
0(사)느티나무경남장애인부모회거창군지부(거창군장애인근로사업장)김경회055-943-2345055-943-2335경상남도 거창군 남상면 일반산업길 160 (남상면)경상남도 거창군 남상면 대산리 1546번지35.656228127.927014골판지 상자2022-10-14
1(재)거창화강석연구센터구인모055-943-3924<NA>경상남도 거창군 위천면 화리골길 103-10경상남도 거창군 위천면 남산리 105-22번지35.741099127.841596광촉매코팅석2022-10-14
2(주)금보엘리베이터김영환<NA>051-326-8011경상남도 거창군 남상면 승강기길 91경상남도 거창군 남상면 대산리 1582번지35.652331127.931141승강기2022-10-14
3(주)금산기계조수현055-345-9501055-944-9505경상남도 거창군 남상면 승강기단지3길 73 외 1필지경상남도 거창군 남상면 대산리 2400번지 외 1필지35.656206127.919611승강기부품2022-10-14
4(주)금산산기조수현055-343-9501<NA>경상남도 거창군 남상면 일반산업길 175 외 1필지경상남도 거창군 남상면 대산리 1558번지 외 1필지35.655583127.927947엘리베이터 부품2022-10-14
5(주)금산산기(2공장)조수현055-343-9501055-944-9505경상남도 거창군 남상면 승강기단지3길 63경상남도 거창군 남상면 대산리 2401번지35.655829127.919962승강기부품2022-10-14
6(주)남양이엔지김진영053-527-1260<NA>경상남도 거창군 남상면 홍덕길 72경상남도 거창군 남상면 대산리 1585번지35.653042127.932258엘리베이터, 주차장치2022-10-14
7(주)대륜엘리스이기랑02-548-0504<NA>경상남도 거창군 남상면 승강기단지3길 9경상남도 거창군 남상면 대산리 2405번지 외2필지35.654573127.921856승강기 및 승강기부품2022-10-14
8(주)대봉전통공예장우진055-943-6252<NA>경상남도 거창군 거창읍 밤티재로 1273-33 (대봉공예)경상남도 거창군 거창읍 정장리 129-3번지35.668426127.929357생활유기2022-10-14
9(주)대창목재강원용<NA>055-941-0893경상남도 거창군 남상면 대산리 1544-1번지경상남도 거창군 남상면 대산리 1544-1번지35.656787127.93426목재판재2022-10-14
회사명대표자명전화번호팩스번호소재지도로명주소소재지지번주소위도경도생산품데이터기준일자
168진토피아김대홍055-942-8017055-942-2214경상남도 거창군 가조면 석강3길 112경상남도 거창군 가조면 석강리 140535.684677128.026869첨단세라믹볼, 자화활수기2022-10-14
169파파푸드 농업회사법인 주식회사김영도, 전재현055-944-8588055-944-8581경상남도 거창군 거창읍 수남로 2035-13경상남도 거창군 거창읍 정장리 산 86-1번지35.660417127.912153구운계란, 신선란2022-10-14
170한 바이오제약 주식회사최점숙<NA>055-944-5282경상남도 거창군 남상면 밤티재로 1288-46경상남도 거창군 남상면 월평리 946-235.669966127.932805살충제, 살균제, 전염병 예방 방역약품2022-10-14
171한국철강산업(주)최성림055-943-5805055-943-5859경상남도 거창군 거창읍 밤티재로 1288 (제1호)경상남도 거창군 거창읍 정장리 83-1 번지35.670618127.932491철근가공2022-10-14
172한국철강산업(주) 제2공장최성림055-943-5805055-943-5859경상남도 거창군 거창읍 밤티재로 1298 (충남석재)경상남도 거창군 거창읍 정장리 83 번지35.670931127.931663철근가공품2022-10-14
173한영대리석변종원055-945-1515055-945-1517경상남도 거창군 남하면 가조가야로 343 (한영대리석)경상남도 거창군 남하면 둔마리 1301번지35.702983127.947896경계석.건축석2022-10-14
174한진종합중기정비박규근055-943-1799055-944-8180경상남도 거창군 거창읍 밤티재로 1321 (한진종합중기정비)경상남도 거창군 거창읍 정장리 260-3번지 한진종합중기정비35.673112127.931547건설기계부품 재생,수리2022-10-14
175향기나무박정숙055-943-6066<NA>경상남도 거창군 신원면 청수로 651-5경상남도 거창군 신원면 덕산리 714-135.572405127.894181비누 세재2022-10-14
176형광이노텍형지민<NA><NA>경상남도 거창군 웅양면 왕암길 158-44경상남도 거창군 웅양면 신촌리 650-135.878813127.915082LED 바닥신호등2022-10-14
177형제석재김동현055-944-3812055-944-3814경상남도 거창군 위천면 빼재로 942 (형제석재)경상남도 거창군 위천면 모동리 60-5번지35.779604127.868452경계석.건축석2022-10-14