Overview

Dataset statistics

Number of variables9
Number of observations121
Missing cells51
Missing cells (%)4.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.8 KiB
Average record size in memory74.1 B

Variable types

Numeric1
Text7
DateTime1

Dataset

Description경상남도 의령군 관내 제조업공장에 대한 데이터로 회사명, 업종명, 생산품,주소, 전화번호 정보를 제공합니다. 전화번호가 빈 공란인 곳은
Author경상남도 의령군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15035011

Alerts

데이터 기준일 has constant value ""Constant
전화번호 has 10 (8.3%) missing valuesMissing
팩스번호 has 40 (33.1%) missing valuesMissing
연번 has unique valuesUnique
회사명 has unique valuesUnique

Reproduction

Analysis started2024-03-23 07:16:59.411728
Analysis finished2024-03-23 07:17:03.970985
Duration4.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct121
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61
Minimum1
Maximum121
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-23T07:17:04.247638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q131
median61
Q391
95-th percentile115
Maximum121
Range120
Interquartile range (IQR)60

Descriptive statistics

Standard deviation35.073732
Coefficient of variation (CV)0.57497921
Kurtosis-1.2
Mean61
Median Absolute Deviation (MAD)30
Skewness0
Sum7381
Variance1230.1667
MonotonicityStrictly increasing
2024-03-23T07:17:04.711746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
92 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
87 1
 
0.8%
86 1
 
0.8%
85 1
 
0.8%
84 1
 
0.8%
83 1
 
0.8%
Other values (111) 111
91.7%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
121 1
0.8%
120 1
0.8%
119 1
0.8%
118 1
0.8%
117 1
0.8%
116 1
0.8%
115 1
0.8%
114 1
0.8%
113 1
0.8%
112 1
0.8%

회사명
Text

UNIQUE 

Distinct121
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-23T07:17:05.555399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length6.6942149
Min length3

Characters and Unicode

Total characters810
Distinct characters201
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

Unique121 ?
Unique (%)100.0%

Sample

1st row대익이엔지㈜
2nd row㈜한화미 의령공장
3rd row㈜코스글로벌
4th row㈜쎄니트
5th row태림페이퍼㈜의령공장
ValueCountFrequency (%)
농업회사법인 4
 
2.9%
의령공장 3
 
2.2%
주식회사 2
 
1.5%
대익이엔지㈜ 1
 
0.7%
경남휀스철망공업사 1
 
0.7%
농업회사법인(주)의령조청한과 1
 
0.7%
의령토속식품 1
 
0.7%
화정퇴비 1
 
0.7%
우성비료 1
 
0.7%
㈜홍인 1
 
0.7%
Other values (121) 121
88.3%
2024-03-23T07:17:06.975147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 54
 
6.7%
이 27
 
3.3%
업 21
 
2.6%
의 21
 
2.6%
주 20
 
2.5%
령 20
 
2.5%
사 18
 
2.2%
산 17
 
2.1%
스 17
 
2.1%
17
 
2.1%
Other values (191) 578
71.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 701
86.5%
Other Symbol 54
 
6.7%
Space Separator 17
 
2.1%
Close Punctuation 15
 
1.9%
Open Punctuation 15
 
1.9%
Decimal Number 5
 
0.6%
Uppercase Letter 2
 
0.2%
Connector Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 27
 
3.9%
업 21
 
3.0%
의 21
 
3.0%
주 20
 
2.9%
령 20
 
2.9%
사 18
 
2.6%
산 17
 
2.4%
스 17
 
2.4%
공 15
 
2.1%
성 15
 
2.1%
Other values (183) 510
72.8%
Uppercase Letter
ValueCountFrequency (%)
J 1
50.0%
S 1
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 54
100.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Decimal Number
ValueCountFrequency (%)
2 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 755
93.2%
Common 53
 
6.5%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 54
 
7.2%
이 27
 
3.6%
업 21
 
2.8%
의 21
 
2.8%
주 20
 
2.6%
령 20
 
2.6%
사 18
 
2.4%
산 17
 
2.3%
스 17
 
2.3%
공 15
 
2.0%
Other values (184) 525
69.5%
Common
ValueCountFrequency (%)
17
32.1%
) 15
28.3%
( 15
28.3%
2 5
 
9.4%
_ 1
 
1.9%
Latin
ValueCountFrequency (%)
J 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 701
86.5%
ASCII 55
 
6.8%
None 54
 
6.7%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 54
100.0%
Hangul
ValueCountFrequency (%)
이 27
 
3.9%
업 21
 
3.0%
의 21
 
3.0%
주 20
 
2.9%
령 20
 
2.9%
사 18
 
2.6%
산 17
 
2.4%
스 17
 
2.4%
공 15
 
2.1%
성 15
 
2.1%
Other values (183) 510
72.8%
ASCII
ValueCountFrequency (%)
17
30.9%
) 15
27.3%
( 15
27.3%
2 5
 
9.1%
_ 1
 
1.8%
J 1
 
1.8%
S 1
 
1.8%

대표자명
Text

Distinct116
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-23T07:17:08.166888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length3
Mean length3.2066116
Min length3

Characters and Unicode

Total characters388
Distinct characters119
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

Unique112 ?
Unique (%)92.6%

Sample

1st row황용현
2nd row조영래
3rd row유시탁
4th row박승배
5th row고재웅
ValueCountFrequency (%)
정현득 3
 
2.4%
윤영호 2
 
1.6%
박우필 2
 
1.6%
손동식 2
 
1.6%
전연수 1
 
0.8%
박미선 1
 
0.8%
추영효 1
 
0.8%
권오형 1
 
0.8%
안상욱 1
 
0.8%
황용현 1
 
0.8%
Other values (110) 110
88.0%
2024-03-23T07:17:09.904937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 27
 
7.0%
정 18
 
4.6%
현 15
 
3.9%
박 13
 
3.4%
수 13
 
3.4%
이 12
 
3.1%
영 12
 
3.1%
호 9
 
2.3%
용 8
 
2.1%
동 8
 
2.1%
Other values (109) 253
65.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 379
97.7%
Other Punctuation 5
 
1.3%
Space Separator 4
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 27
 
7.1%
정 18
 
4.7%
현 15
 
4.0%
박 13
 
3.4%
수 13
 
3.4%
이 12
 
3.2%
영 12
 
3.2%
호 9
 
2.4%
용 8
 
2.1%
동 8
 
2.1%
Other values (107) 244
64.4%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 379
97.7%
Common 9
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 27
 
7.1%
정 18
 
4.7%
현 15
 
4.0%
박 13
 
3.4%
수 13
 
3.4%
이 12
 
3.2%
영 12
 
3.2%
호 9
 
2.4%
용 8
 
2.1%
동 8
 
2.1%
Other values (107) 244
64.4%
Common
ValueCountFrequency (%)
, 5
55.6%
4
44.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 379
97.7%
ASCII 9
 
2.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 27
 
7.1%
정 18
 
4.7%
현 15
 
4.0%
박 13
 
3.4%
수 13
 
3.4%
이 12
 
3.2%
영 12
 
3.2%
호 9
 
2.4%
용 8
 
2.1%
동 8
 
2.1%
Other values (107) 244
64.4%
ASCII
ValueCountFrequency (%)
, 5
55.6%
4
44.4%

업종명
Text

Distinct98
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-23T07:17:10.623716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length24
Mean length15.504132
Min length5

Characters and Unicode

Total characters1876
Distinct characters170
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

Unique82 ?
Unique (%)67.8%

Sample

1st row육상 금속 골조 구조재 제조업 외 1 종
2nd row그 외 자동차용 신품 부품 제조업 외 6 종
3rd row철강선 제조업
4th row냉간 압연 및 압출 제품 제조업 외 1 종
5th row기타 종이 및 판지 제조업 외 2 종
ValueCountFrequency (%)
제조업 88
 
15.5%
및 48
 
8.5%
외 43
 
7.6%
종 30
 
5.3%
기타 29
 
5.1%
1 16
 
2.8%
콘크리트 11
 
1.9%
그 9
 
1.6%
제품 7
 
1.2%
금속 7
 
1.2%
Other values (162) 279
49.2%
2024-03-23T07:17:11.927516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
447
23.8%
제 133
 
7.1%
조 124
 
6.6%
업 120
 
6.4%
기 59
 
3.1%
및 51
 
2.7%
외 46
 
2.5%
종 40
 
2.1%
타 37
 
2.0%
품 37
 
2.0%
Other values (160) 782
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1380
73.6%
Space Separator 447
 
23.8%
Decimal Number 36
 
1.9%
Other Punctuation 13
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 133
 
9.6%
조 124
 
9.0%
업 120
 
8.7%
기 59
 
4.3%
및 51
 
3.7%
외 46
 
3.3%
종 40
 
2.9%
타 37
 
2.7%
품 37
 
2.7%
금 27
 
2.0%
Other values (150) 706
51.2%
Decimal Number
ValueCountFrequency (%)
1 22
61.1%
3 5
 
13.9%
2 3
 
8.3%
5 2
 
5.6%
6 1
 
2.8%
0 1
 
2.8%
8 1
 
2.8%
4 1
 
2.8%
Space Separator
ValueCountFrequency (%)
447
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1380
73.6%
Common 496
 
26.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 133
 
9.6%
조 124
 
9.0%
업 120
 
8.7%
기 59
 
4.3%
및 51
 
3.7%
외 46
 
3.3%
종 40
 
2.9%
타 37
 
2.7%
품 37
 
2.7%
금 27
 
2.0%
Other values (150) 706
51.2%
Common
ValueCountFrequency (%)
447
90.1%
1 22
 
4.4%
, 13
 
2.6%
3 5
 
1.0%
2 3
 
0.6%
5 2
 
0.4%
6 1
 
0.2%
0 1
 
0.2%
8 1
 
0.2%
4 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1380
73.6%
ASCII 496
 
26.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
447
90.1%
1 22
 
4.4%
, 13
 
2.6%
3 5
 
1.0%
2 3
 
0.6%
5 2
 
0.4%
6 1
 
0.2%
0 1
 
0.2%
8 1
 
0.2%
4 1
 
0.2%
Hangul
ValueCountFrequency (%)
제 133
 
9.6%
조 124
 
9.0%
업 120
 
8.7%
기 59
 
4.3%
및 51
 
3.7%
외 46
 
3.3%
종 40
 
2.9%
타 37
 
2.7%
품 37
 
2.7%
금 27
 
2.0%
Other values (150) 706
51.2%

생산품
Text

Distinct115
Distinct (%)95.8%
Missing1
Missing (%)0.8%
Memory size1.1 KiB
2024-03-23T07:17:12.792093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length20
Mean length7.9666667
Min length1

Characters and Unicode

Total characters956
Distinct characters246
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

Unique110 ?
Unique (%)91.7%

Sample

1st row철구조물
2nd row자동차계기판, 전자부품인쇄, 차량DECAL
3rd row스텐레스와이어
4th row스테인레스박판
5th row제지
ValueCountFrequency (%)
로프 3
 
1.6%
펌프케이싱 3
 
1.6%
등 3
 
1.6%
엿기름 2
 
1.1%
어망 2
 
1.1%
비료 2
 
1.1%
보조사료 2
 
1.1%
열교환기 2
 
1.1%
및 2
 
1.1%
쌀 2
 
1.1%
Other values (153) 165
87.8%
2024-03-23T07:17:13.916601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
68
 
7.1%
, 55
 
5.8%
기 32
 
3.3%
자 18
 
1.9%
스 17
 
1.8%
조 17
 
1.8%
품 16
 
1.7%
부 16
 
1.7%
지 15
 
1.6%
차 13
 
1.4%
Other values (236) 689
72.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 783
81.9%
Space Separator 68
 
7.1%
Other Punctuation 57
 
6.0%
Uppercase Letter 33
 
3.5%
Lowercase Letter 5
 
0.5%
Close Punctuation 4
 
0.4%
Open Punctuation 4
 
0.4%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 32
 
4.1%
자 18
 
2.3%
스 17
 
2.2%
조 17
 
2.2%
품 16
 
2.0%
부 16
 
2.0%
지 15
 
1.9%
차 13
 
1.7%
료 13
 
1.7%
프 13
 
1.7%
Other values (214) 613
78.3%
Uppercase Letter
ValueCountFrequency (%)
E 5
15.2%
A 5
15.2%
L 4
12.1%
D 3
9.1%
R 3
9.1%
C 3
9.1%
P 2
 
6.1%
Y 2
 
6.1%
T 2
 
6.1%
B 2
 
6.1%
Other values (2) 2
 
6.1%
Lowercase Letter
ValueCountFrequency (%)
p 3
60.0%
t 1
 
20.0%
e 1
 
20.0%
Other Punctuation
ValueCountFrequency (%)
, 55
96.5%
/ 2
 
3.5%
Decimal Number
ValueCountFrequency (%)
8 1
50.0%
3 1
50.0%
Space Separator
ValueCountFrequency (%)
68
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 783
81.9%
Common 135
 
14.1%
Latin 38
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 32
 
4.1%
자 18
 
2.3%
스 17
 
2.2%
조 17
 
2.2%
품 16
 
2.0%
부 16
 
2.0%
지 15
 
1.9%
차 13
 
1.7%
료 13
 
1.7%
프 13
 
1.7%
Other values (214) 613
78.3%
Latin
ValueCountFrequency (%)
E 5
13.2%
A 5
13.2%
L 4
10.5%
p 3
7.9%
D 3
7.9%
R 3
7.9%
C 3
7.9%
P 2
 
5.3%
Y 2
 
5.3%
T 2
 
5.3%
Other values (5) 6
15.8%
Common
ValueCountFrequency (%)
68
50.4%
, 55
40.7%
) 4
 
3.0%
( 4
 
3.0%
/ 2
 
1.5%
8 1
 
0.7%
3 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 783
81.9%
ASCII 173
 
18.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
68
39.3%
, 55
31.8%
E 5
 
2.9%
A 5
 
2.9%
) 4
 
2.3%
( 4
 
2.3%
L 4
 
2.3%
p 3
 
1.7%
D 3
 
1.7%
R 3
 
1.7%
Other values (12) 19
 
11.0%
Hangul
ValueCountFrequency (%)
기 32
 
4.1%
자 18
 
2.3%
스 17
 
2.2%
조 17
 
2.2%
품 16
 
2.0%
부 16
 
2.0%
지 15
 
1.9%
차 13
 
1.7%
료 13
 
1.7%
프 13
 
1.7%
Other values (214) 613
78.3%

주소
Text

Distinct108
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-23T07:17:14.625444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length21.198347
Min length18

Characters and Unicode

Total characters2565
Distinct characters77
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

Unique97 ?
Unique (%)80.2%

Sample

1st row경상남도 의령군 의령읍 구룡로 242
2nd row경상남도 의령군 의령읍 구룡로4남길 15
3rd row경상남도 의령군 의령읍 구룡로4남길 25
4th row경상남도 의령군 의령읍 구룡로4남길 53
5th row경상남도 의령군 의령읍 구룡로1길 39
ValueCountFrequency (%)
경상남도 121
20.0%
의령군 121
20.0%
의령읍 34
 
5.6%
봉수면 33
 
5.4%
한지18길 21
 
3.5%
부림면 14
 
2.3%
직금로 9
 
1.5%
한지20길 8
 
1.3%
구룡로1길 8
 
1.3%
지정면 7
 
1.2%
Other values (148) 230
38.0%
2024-03-23T07:17:15.934299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
494
19.3%
의 176
 
6.9%
령 156
 
6.1%
남 134
 
5.2%
상 123
 
4.8%
경 121
 
4.7%
도 121
 
4.7%
군 121
 
4.7%
1 93
 
3.6%
면 87
 
3.4%
Other values (67) 939
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1631
63.6%
Space Separator 494
 
19.3%
Decimal Number 411
 
16.0%
Dash Punctuation 29
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 176
 
10.8%
령 156
 
9.6%
남 134
 
8.2%
상 123
 
7.5%
경 121
 
7.4%
도 121
 
7.4%
군 121
 
7.4%
면 87
 
5.3%
로 82
 
5.0%
길 62
 
3.8%
Other values (55) 448
27.5%
Decimal Number
ValueCountFrequency (%)
1 93
22.6%
2 52
12.7%
8 44
10.7%
6 36
 
8.8%
4 36
 
8.8%
3 34
 
8.3%
9 32
 
7.8%
7 29
 
7.1%
5 28
 
6.8%
0 27
 
6.6%
Space Separator
ValueCountFrequency (%)
494
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1631
63.6%
Common 934
36.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 176
 
10.8%
령 156
 
9.6%
남 134
 
8.2%
상 123
 
7.5%
경 121
 
7.4%
도 121
 
7.4%
군 121
 
7.4%
면 87
 
5.3%
로 82
 
5.0%
길 62
 
3.8%
Other values (55) 448
27.5%
Common
ValueCountFrequency (%)
494
52.9%
1 93
 
10.0%
2 52
 
5.6%
8 44
 
4.7%
6 36
 
3.9%
4 36
 
3.9%
3 34
 
3.6%
9 32
 
3.4%
- 29
 
3.1%
7 29
 
3.1%
Other values (2) 55
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1631
63.6%
ASCII 934
36.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
494
52.9%
1 93
 
10.0%
2 52
 
5.6%
8 44
 
4.7%
6 36
 
3.9%
4 36
 
3.9%
3 34
 
3.6%
9 32
 
3.4%
- 29
 
3.1%
7 29
 
3.1%
Other values (2) 55
 
5.9%
Hangul
ValueCountFrequency (%)
의 176
 
10.8%
령 156
 
9.6%
남 134
 
8.2%
상 123
 
7.5%
경 121
 
7.4%
도 121
 
7.4%
군 121
 
7.4%
면 87
 
5.3%
로 82
 
5.0%
길 62
 
3.8%
Other values (55) 448
27.5%

전화번호
Text

MISSING 

Distinct105
Distinct (%)94.6%
Missing10
Missing (%)8.3%
Memory size1.1 KiB
2024-03-23T07:17:17.028352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.045045
Min length12

Characters and Unicode

Total characters1337
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

Unique101 ?
Unique (%)91.0%

Sample

1st row055-572-1600
2nd row055-573-9991
3rd row055-573-0396
4th row055-573-8221
5th row055-572-3020
ValueCountFrequency (%)
055-572-2424 3
 
2.7%
055-573-1534 3
 
2.7%
055-573-0991 2
 
1.8%
055-716-1239 2
 
1.8%
055-572-3111 1
 
0.9%
055-573-0440 1
 
0.9%
055-572-7080 1
 
0.9%
055-572-9776 1
 
0.9%
055-572-5330 1
 
0.9%
055-574-3311 1
 
0.9%
Other values (95) 95
85.6%
2024-03-23T07:17:18.384425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 352
26.3%
- 222
16.6%
0 207
15.5%
7 147
11.0%
4 78
 
5.8%
3 73
 
5.5%
2 70
 
5.2%
1 59
 
4.4%
9 47
 
3.5%
6 41
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1115
83.4%
Dash Punctuation 222
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 352
31.6%
0 207
18.6%
7 147
13.2%
4 78
 
7.0%
3 73
 
6.5%
2 70
 
6.3%
1 59
 
5.3%
9 47
 
4.2%
6 41
 
3.7%
8 41
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 222
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1337
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 352
26.3%
- 222
16.6%
0 207
15.5%
7 147
11.0%
4 78
 
5.8%
3 73
 
5.5%
2 70
 
5.2%
1 59
 
4.4%
9 47
 
3.5%
6 41
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1337
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 352
26.3%
- 222
16.6%
0 207
15.5%
7 147
11.0%
4 78
 
5.8%
3 73
 
5.5%
2 70
 
5.2%
1 59
 
4.4%
9 47
 
3.5%
6 41
 
3.1%

팩스번호
Text

MISSING 

Distinct75
Distinct (%)92.6%
Missing40
Missing (%)33.1%
Memory size1.1 KiB
2024-03-23T07:17:19.464319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters972
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

Unique70 ?
Unique (%)86.4%

Sample

1st row055-572-1603
2nd row055-573-9996
3rd row055-573-0397
4th row055-573-8220
5th row055-572-3025
ValueCountFrequency (%)
055-573-1530 3
 
3.7%
055-574-5698 2
 
2.5%
055-573-0993 2
 
2.5%
055-716-1269 2
 
2.5%
055-573-4983 2
 
2.5%
055-573-6566 1
 
1.2%
055-573-8014 1
 
1.2%
055-573-2487 1
 
1.2%
055-573-0441 1
 
1.2%
055-574-0713 1
 
1.2%
Other values (65) 65
80.2%
2024-03-23T07:17:21.142429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 271
27.9%
- 162
16.7%
0 131
13.5%
7 98
 
10.1%
4 59
 
6.1%
3 58
 
6.0%
2 46
 
4.7%
1 45
 
4.6%
9 39
 
4.0%
8 35
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 810
83.3%
Dash Punctuation 162
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 271
33.5%
0 131
16.2%
7 98
 
12.1%
4 59
 
7.3%
3 58
 
7.2%
2 46
 
5.7%
1 45
 
5.6%
9 39
 
4.8%
8 35
 
4.3%
6 28
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 162
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 972
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 271
27.9%
- 162
16.7%
0 131
13.5%
7 98
 
10.1%
4 59
 
6.1%
3 58
 
6.0%
2 46
 
4.7%
1 45
 
4.6%
9 39
 
4.0%
8 35
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 972
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 271
27.9%
- 162
16.7%
0 131
13.5%
7 98
 
10.1%
4 59
 
6.1%
3 58
 
6.0%
2 46
 
4.7%
1 45
 
4.6%
9 39
 
4.0%
8 35
 
3.6%

데이터 기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2021-09-17 00:00:00
Maximum2021-09-17 00:00:00
2024-03-23T07:17:21.614840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:17:21.957195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-23T07:17:02.110096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T07:17:22.163776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명팩스번호
연번1.0000.8900.981
업종명0.8901.0000.997
팩스번호0.9810.9971.000

Missing values

2024-03-23T07:17:02.667628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T07:17:03.250230image/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.
2024-03-23T07:17:03.823033image/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

연번회사명대표자명업종명생산품주소전화번호팩스번호데이터 기준일
01대익이엔지㈜황용현육상 금속 골조 구조재 제조업 외 1 종철구조물경상남도 의령군 의령읍 구룡로 242055-572-1600055-572-16032021-09-17
12㈜한화미 의령공장조영래그 외 자동차용 신품 부품 제조업 외 6 종자동차계기판, 전자부품인쇄, 차량DECAL경상남도 의령군 의령읍 구룡로4남길 15055-573-9991055-573-99962021-09-17
23㈜코스글로벌유시탁철강선 제조업스텐레스와이어경상남도 의령군 의령읍 구룡로4남길 25055-573-0396055-573-03972021-09-17
34㈜쎄니트박승배냉간 압연 및 압출 제품 제조업 외 1 종스테인레스박판경상남도 의령군 의령읍 구룡로4남길 53055-573-8221055-573-82202021-09-17
45태림페이퍼㈜의령공장고재웅기타 종이 및 판지 제조업 외 2 종제지경상남도 의령군 의령읍 구룡로1길 39055-572-3020055-572-30252021-09-17
56경남제약㈜의령공장배건우생물학적 제제 제조업 외 1 종의약품 원료경상남도 의령군 의령읍 구룡로4남길 79055-572-8700055-573-75362021-09-17
67부산사료㈜김정학배합 사료 제조업 외 1 종곡분사료경상남도 의령군 의령읍 구룡로4남길 65055-573-0991055-573-09932021-09-17
78제이비 플러스김보람배합 사료 제조업 외 1 종곡분사료경상남도 의령군 의령읍 구룡로4길 94055-573-0991055-573-09932021-09-17
89㈜거양금속김학순자동차용 신품 동력전달장치 제조업 외 3 종자동차부품경상남도 의령군 의령읍 구룡로4남길 14-3055-573-0274055-574-02782021-09-17
910㈜세한이엔지이창호절삭가공 및 유사처리업철판경상남도 의령군 의령읍 구룡로4남길 52055-574-4562<NA>2021-09-17
연번회사명대표자명업종명생산품주소전화번호팩스번호데이터 기준일
111112진명산업㈜김선열그 외 기타 금속가공업발전기부품경상남도 의령군 정곡면 강변로 221<NA><NA>2021-09-17
112113의령망개떡 김가네김창섭떡류 제조업망개떡경상남도 의령군 의령읍 충익로 22-1055-572-1500055-572-15052021-09-17
113114성원테크박길제전기회로 개폐, 보호장치 제조업전기 차단기경상남도 의령군 지정면 함의로 7길 8055-574-9337<NA>2021-09-17
114115호암정밀김인수금속 절삭기계 제조업차단기 및 부속품경상남도 의령군 지정면 함의로 7길 8<NA><NA>2021-09-17
115116농업회사법인 ㈜논두렁안대용기타 곡물 가공품 제조업누룽지, 떡국떡경상남도 의령군 화정면 상정리 311-1055-573-5778<NA>2021-09-17
116117㈜부전산업김정희, 안성철금속 표시판 제조업교통표지판경상남도 의령군 부림면 막곡리 18-8055-572-6788<NA>2021-09-17
117118신창산업정서우끈 및 로프 제조업 외 1종어망, 로프 등경상남도 의령군 봉수면 대한로 1162-3055-573-9990<NA>2021-09-17
118119의령착한농장설영수천연 및 혼합조제 조미료 제조업천연조미료, 건조가공품경상남도 의령군 유곡면 청정로 2375-22<NA><NA>2021-09-17
119120삼영탄소산업제2공장홍진수그 외 기타 분류 안된 비금송 광물제품 제조업전극봉, 전극설경상남도 의령군 화정면 진의로 1673-7055-574-8833<NA>2021-09-17
120121이든애정상용일반용 전기 조명장치 제조업LED 조명기구경상남도 의령군 칠곡면 산남길 66055-573-1478<NA>2021-09-17