Overview

Dataset statistics

Number of variables9
Number of observations129
Missing cells62
Missing cells (%)5.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.3 KiB
Average record size in memory74.0 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 13 (10.1%) missing valuesMissing
팩스번호 has 48 (37.2%) missing valuesMissing
연번 has unique valuesUnique
회사명 has unique valuesUnique

Reproduction

Analysis started2024-03-23 07:16:29.792600
Analysis finished2024-03-23 07:16:37.654049
Duration7.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct129
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65
Minimum1
Maximum129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-23T07:16:37.997981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.4
Q133
median65
Q397
95-th percentile122.6
Maximum129
Range128
Interquartile range (IQR)64

Descriptive statistics

Standard deviation37.383151
Coefficient of variation (CV)0.5751254
Kurtosis-1.2
Mean65
Median Absolute Deviation (MAD)32
Skewness0
Sum8385
Variance1397.5
MonotonicityStrictly increasing
2024-03-23T07:16:38.588064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
98 1
 
0.8%
96 1
 
0.8%
95 1
 
0.8%
94 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
Other values (119) 119
92.2%
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 (%)
129 1
0.8%
128 1
0.8%
127 1
0.8%
126 1
0.8%
125 1
0.8%
124 1
0.8%
123 1
0.8%
122 1
0.8%
121 1
0.8%
120 1
0.8%

회사명
Text

UNIQUE 

Distinct129
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-23T07:16:39.257825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length6.620155
Min length3

Characters and Unicode

Total characters854
Distinct characters210
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

Unique129 ?
Unique (%)100.0%

Sample

1st row대익이엔지㈜
2nd row㈜한화미 의령공장
3rd row㈜코스글로벌
4th row㈜쎄니트
5th row태림페이퍼㈜의령공장
ValueCountFrequency (%)
농업회사법인 4
 
2.8%
의령공장 3
 
2.1%
주식회사 2
 
1.4%
대익이엔지㈜ 1
 
0.7%
㈜홍인 1
 
0.7%
동영목재 1
 
0.7%
농업회사법인(주)의령조청한과 1
 
0.7%
의령토속식품 1
 
0.7%
화정퇴비 1
 
0.7%
우성비료 1
 
0.7%
Other values (129) 129
89.0%
2024-03-23T07:16:40.135737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 59
 
6.9%
이 30
 
3.5%
의 21
 
2.5%
업 21
 
2.5%
주 20
 
2.3%
스 20
 
2.3%
령 20
 
2.3%
지 18
 
2.1%
사 18
 
2.1%
산 17
 
2.0%
Other values (200) 610
71.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 740
86.7%
Other Symbol 59
 
6.9%
Space Separator 17
 
2.0%
Close Punctuation 15
 
1.8%
Open Punctuation 15
 
1.8%
Decimal Number 5
 
0.6%
Uppercase Letter 2
 
0.2%
Connector Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 30
 
4.1%
의 21
 
2.8%
업 21
 
2.8%
주 20
 
2.7%
스 20
 
2.7%
령 20
 
2.7%
지 18
 
2.4%
사 18
 
2.4%
산 17
 
2.3%
공 15
 
2.0%
Other values (192) 540
73.0%
Uppercase Letter
ValueCountFrequency (%)
J 1
50.0%
S 1
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 59
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 799
93.6%
Common 53
 
6.2%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 59
 
7.4%
이 30
 
3.8%
의 21
 
2.6%
업 21
 
2.6%
주 20
 
2.5%
스 20
 
2.5%
령 20
 
2.5%
지 18
 
2.3%
사 18
 
2.3%
산 17
 
2.1%
Other values (193) 555
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 740
86.7%
None 59
 
6.9%
ASCII 55
 
6.4%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 59
100.0%
Hangul
ValueCountFrequency (%)
이 30
 
4.1%
의 21
 
2.8%
업 21
 
2.8%
주 20
 
2.7%
스 20
 
2.7%
령 20
 
2.7%
지 18
 
2.4%
사 18
 
2.4%
산 17
 
2.3%
공 15
 
2.0%
Other values (192) 540
73.0%
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

Distinct124
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-23T07:16:40.978786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length3
Mean length3.1937984
Min length3

Characters and Unicode

Total characters412
Distinct characters122
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

Unique120 ?
Unique (%)93.0%

Sample

1st row반승우
2nd row조영래
3rd row유시탁
4th row박승배
5th row고재웅
ValueCountFrequency (%)
정현득 3
 
2.3%
손동식 2
 
1.5%
박우필 2
 
1.5%
윤영호 2
 
1.5%
김현희 1
 
0.8%
강대철 1
 
0.8%
추영효 1
 
0.8%
권오형 1
 
0.8%
안상욱 1
 
0.8%
이광우 1
 
0.8%
Other values (118) 118
88.7%
2024-03-23T07:16:42.338208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 30
 
7.3%
정 18
 
4.4%
현 14
 
3.4%
박 14
 
3.4%
수 13
 
3.2%
영 12
 
2.9%
이 12
 
2.9%
호 9
 
2.2%
성 9
 
2.2%
용 9
 
2.2%
Other values (112) 272
66.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 403
97.8%
Other Punctuation 5
 
1.2%
Space Separator 4
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 30
 
7.4%
정 18
 
4.5%
현 14
 
3.5%
박 14
 
3.5%
수 13
 
3.2%
영 12
 
3.0%
이 12
 
3.0%
호 9
 
2.2%
성 9
 
2.2%
용 9
 
2.2%
Other values (110) 263
65.3%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 403
97.8%
Common 9
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 30
 
7.4%
정 18
 
4.5%
현 14
 
3.5%
박 14
 
3.5%
수 13
 
3.2%
영 12
 
3.0%
이 12
 
3.0%
호 9
 
2.2%
성 9
 
2.2%
용 9
 
2.2%
Other values (110) 263
65.3%
Common
ValueCountFrequency (%)
, 5
55.6%
4
44.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 403
97.8%
ASCII 9
 
2.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 30
 
7.4%
정 18
 
4.5%
현 14
 
3.5%
박 14
 
3.5%
수 13
 
3.2%
영 12
 
3.0%
이 12
 
3.0%
호 9
 
2.2%
성 9
 
2.2%
용 9
 
2.2%
Other values (110) 263
65.3%
ASCII
ValueCountFrequency (%)
, 5
55.6%
4
44.4%

업종명
Text

Distinct104
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-23T07:16:43.453783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length24
Mean length15.550388
Min length5

Characters and Unicode

Total characters2006
Distinct characters178
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)66.7%

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 95
 
15.7%
및 50
 
8.3%
외 45
 
7.5%
기타 33
 
5.5%
종 32
 
5.3%
1 17
 
2.8%
콘크리트 11
 
1.8%
금속 9
 
1.5%
그 9
 
1.5%
제품 7
 
1.2%
Other values (170) 296
49.0%
2024-03-23T07:16:46.112295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
476
23.7%
제 142
 
7.1%
조 136
 
6.8%
업 128
 
6.4%
기 65
 
3.2%
및 53
 
2.6%
외 48
 
2.4%
종 42
 
2.1%
타 41
 
2.0%
품 39
 
1.9%
Other values (168) 836
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1472
73.4%
Space Separator 476
 
23.7%
Decimal Number 43
 
2.1%
Other Punctuation 13
 
0.6%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 142
 
9.6%
조 136
 
9.2%
업 128
 
8.7%
기 65
 
4.4%
및 53
 
3.6%
외 48
 
3.3%
종 42
 
2.9%
타 41
 
2.8%
품 39
 
2.6%
금 30
 
2.0%
Other values (155) 748
50.8%
Decimal Number
ValueCountFrequency (%)
1 24
55.8%
3 7
 
16.3%
2 5
 
11.6%
5 2
 
4.7%
9 1
 
2.3%
6 1
 
2.3%
4 1
 
2.3%
8 1
 
2.3%
0 1
 
2.3%
Space Separator
ValueCountFrequency (%)
476
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1472
73.4%
Common 534
 
26.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 142
 
9.6%
조 136
 
9.2%
업 128
 
8.7%
기 65
 
4.4%
및 53
 
3.6%
외 48
 
3.3%
종 42
 
2.9%
타 41
 
2.8%
품 39
 
2.6%
금 30
 
2.0%
Other values (155) 748
50.8%
Common
ValueCountFrequency (%)
476
89.1%
1 24
 
4.5%
, 13
 
2.4%
3 7
 
1.3%
2 5
 
0.9%
5 2
 
0.4%
) 1
 
0.2%
( 1
 
0.2%
9 1
 
0.2%
6 1
 
0.2%
Other values (3) 3
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1472
73.4%
ASCII 534
 
26.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
476
89.1%
1 24
 
4.5%
, 13
 
2.4%
3 7
 
1.3%
2 5
 
0.9%
5 2
 
0.4%
) 1
 
0.2%
( 1
 
0.2%
9 1
 
0.2%
6 1
 
0.2%
Other values (3) 3
 
0.6%
Hangul
ValueCountFrequency (%)
제 142
 
9.6%
조 136
 
9.2%
업 128
 
8.7%
기 65
 
4.4%
및 53
 
3.6%
외 48
 
3.3%
종 42
 
2.9%
타 41
 
2.8%
품 39
 
2.6%
금 30
 
2.0%
Other values (155) 748
50.8%

생산품
Text

Distinct120
Distinct (%)93.8%
Missing1
Missing (%)0.8%
Memory size1.1 KiB
2024-03-23T07:16:46.729149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length19
Mean length7.9609375
Min length1

Characters and Unicode

Total characters1019
Distinct characters247
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

Unique113 ?
Unique (%)88.3%

Sample

1st row철구조물
2nd row자동차계기판, 전자부품인쇄, 차량DECAL
3rd row스텐레스와이어
4th row스테인레스박판
5th row제지
ValueCountFrequency (%)
및 4
 
2.0%
등 4
 
2.0%
철구조물 3
 
1.5%
로프 3
 
1.5%
펌프케이싱 3
 
1.5%
보조사료 2
 
1.0%
유압부품 2
 
1.0%
망개떡 2
 
1.0%
엿기름 2
 
1.0%
열교환기 2
 
1.0%
Other values (159) 177
86.8%
2024-03-23T07:16:47.863891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
76
 
7.5%
, 57
 
5.6%
기 33
 
3.2%
조 19
 
1.9%
자 18
 
1.8%
스 18
 
1.8%
품 18
 
1.8%
부 17
 
1.7%
철 16
 
1.6%
지 16
 
1.6%
Other values (237) 731
71.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 834
81.8%
Space Separator 76
 
7.5%
Other Punctuation 59
 
5.8%
Uppercase Letter 33
 
3.2%
Close Punctuation 5
 
0.5%
Open Punctuation 5
 
0.5%
Lowercase Letter 5
 
0.5%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 33
 
4.0%
조 19
 
2.3%
자 18
 
2.2%
스 18
 
2.2%
품 18
 
2.2%
부 17
 
2.0%
철 16
 
1.9%
지 16
 
1.9%
차 15
 
1.8%
료 14
 
1.7%
Other values (215) 650
77.9%
Uppercase Letter
ValueCountFrequency (%)
A 5
15.2%
E 5
15.2%
L 4
12.1%
C 3
9.1%
D 3
9.1%
R 3
9.1%
T 2
 
6.1%
Y 2
 
6.1%
B 2
 
6.1%
P 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 (%)
, 57
96.6%
/ 2
 
3.4%
Decimal Number
ValueCountFrequency (%)
8 1
50.0%
3 1
50.0%
Space Separator
ValueCountFrequency (%)
76
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 834
81.8%
Common 147
 
14.4%
Latin 38
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 33
 
4.0%
조 19
 
2.3%
자 18
 
2.2%
스 18
 
2.2%
품 18
 
2.2%
부 17
 
2.0%
철 16
 
1.9%
지 16
 
1.9%
차 15
 
1.8%
료 14
 
1.7%
Other values (215) 650
77.9%
Latin
ValueCountFrequency (%)
A 5
13.2%
E 5
13.2%
L 4
10.5%
C 3
7.9%
D 3
7.9%
p 3
7.9%
R 3
7.9%
T 2
 
5.3%
Y 2
 
5.3%
B 2
 
5.3%
Other values (5) 6
15.8%
Common
ValueCountFrequency (%)
76
51.7%
, 57
38.8%
) 5
 
3.4%
( 5
 
3.4%
/ 2
 
1.4%
8 1
 
0.7%
3 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 834
81.8%
ASCII 185
 
18.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
76
41.1%
, 57
30.8%
) 5
 
2.7%
A 5
 
2.7%
( 5
 
2.7%
E 5
 
2.7%
L 4
 
2.2%
C 3
 
1.6%
D 3
 
1.6%
p 3
 
1.6%
Other values (12) 19
 
10.3%
Hangul
ValueCountFrequency (%)
기 33
 
4.0%
조 19
 
2.3%
자 18
 
2.2%
스 18
 
2.2%
품 18
 
2.2%
부 17
 
2.0%
철 16
 
1.9%
지 16
 
1.9%
차 15
 
1.8%
료 14
 
1.7%
Other values (215) 650
77.9%

주소
Text

Distinct112
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-23T07:16:48.821311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length21.193798
Min length18

Characters and Unicode

Total characters2734
Distinct characters78
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

Unique99 ?
Unique (%)76.7%

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 129
20.0%
의령군 129
20.0%
의령읍 39
 
6.0%
봉수면 33
 
5.1%
한지18길 21
 
3.3%
부림면 16
 
2.5%
구룡로 11
 
1.7%
직금로 9
 
1.4%
한지20길 9
 
1.4%
구룡로1길 8
 
1.2%
Other values (150) 242
37.5%
2024-03-23T07:16:50.475528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
529
19.3%
의 189
 
6.9%
령 169
 
6.2%
남 143
 
5.2%
상 131
 
4.8%
경 129
 
4.7%
도 129
 
4.7%
군 129
 
4.7%
1 95
 
3.5%
면 90
 
3.3%
Other values (68) 1001
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1738
63.6%
Space Separator 529
 
19.3%
Decimal Number 436
 
15.9%
Dash Punctuation 31
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 189
 
10.9%
령 169
 
9.7%
남 143
 
8.2%
상 131
 
7.5%
경 129
 
7.4%
도 129
 
7.4%
군 129
 
7.4%
면 90
 
5.2%
로 88
 
5.1%
길 66
 
3.8%
Other values (56) 475
27.3%
Decimal Number
ValueCountFrequency (%)
1 95
21.8%
2 59
13.5%
8 45
10.3%
4 40
9.2%
6 38
 
8.7%
3 38
 
8.7%
9 33
 
7.6%
5 30
 
6.9%
7 29
 
6.7%
0 29
 
6.7%
Space Separator
ValueCountFrequency (%)
529
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1738
63.6%
Common 996
36.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 189
 
10.9%
령 169
 
9.7%
남 143
 
8.2%
상 131
 
7.5%
경 129
 
7.4%
도 129
 
7.4%
군 129
 
7.4%
면 90
 
5.2%
로 88
 
5.1%
길 66
 
3.8%
Other values (56) 475
27.3%
Common
ValueCountFrequency (%)
529
53.1%
1 95
 
9.5%
2 59
 
5.9%
8 45
 
4.5%
4 40
 
4.0%
6 38
 
3.8%
3 38
 
3.8%
9 33
 
3.3%
- 31
 
3.1%
5 30
 
3.0%
Other values (2) 58
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1738
63.6%
ASCII 996
36.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
529
53.1%
1 95
 
9.5%
2 59
 
5.9%
8 45
 
4.5%
4 40
 
4.0%
6 38
 
3.8%
3 38
 
3.8%
9 33
 
3.3%
- 31
 
3.1%
5 30
 
3.0%
Other values (2) 58
 
5.8%
Hangul
ValueCountFrequency (%)
의 189
 
10.9%
령 169
 
9.7%
남 143
 
8.2%
상 131
 
7.5%
경 129
 
7.4%
도 129
 
7.4%
군 129
 
7.4%
면 90
 
5.2%
로 88
 
5.1%
길 66
 
3.8%
Other values (56) 475
27.3%

전화번호
Text

MISSING 

Distinct110
Distinct (%)94.8%
Missing13
Missing (%)10.1%
Memory size1.1 KiB
2024-03-23T07:16:51.429600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.051724
Min length12

Characters and Unicode

Total characters1398
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

Unique106 ?
Unique (%)91.4%

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
 
2.6%
055-573-1534 3
 
2.6%
055-573-0991 2
 
1.7%
055-716-1239 2
 
1.7%
055-574-0711 1
 
0.9%
055-572-1600 1
 
0.9%
055-573-0440 1
 
0.9%
055-572-3111 1
 
0.9%
055-573-6565 1
 
0.9%
055-572-3718 1
 
0.9%
Other values (100) 100
86.2%
2024-03-23T07:16:52.832924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 364
26.0%
- 232
16.6%
0 216
15.5%
7 161
11.5%
4 81
 
5.8%
2 75
 
5.4%
3 75
 
5.4%
1 60
 
4.3%
9 49
 
3.5%
6 43
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1166
83.4%
Dash Punctuation 232
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 364
31.2%
0 216
18.5%
7 161
13.8%
4 81
 
6.9%
2 75
 
6.4%
3 75
 
6.4%
1 60
 
5.1%
9 49
 
4.2%
6 43
 
3.7%
8 42
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 232
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1398
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 364
26.0%
- 232
16.6%
0 216
15.5%
7 161
11.5%
4 81
 
5.8%
2 75
 
5.4%
3 75
 
5.4%
1 60
 
4.3%
9 49
 
3.5%
6 43
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1398
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 364
26.0%
- 232
16.6%
0 216
15.5%
7 161
11.5%
4 81
 
5.8%
2 75
 
5.4%
3 75
 
5.4%
1 60
 
4.3%
9 49
 
3.5%
6 43
 
3.1%

팩스번호
Text

MISSING 

Distinct75
Distinct (%)92.6%
Missing48
Missing (%)37.2%
Memory size1.1 KiB
2024-03-23T07:16:53.744846image/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%
2024-03-23T07:16:55.434752image/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
Minimum2022-03-14 00:00:00
Maximum2022-03-14 00:00:00
2024-03-23T07:16:55.834903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:16:56.190990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-23T07:16:35.651389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T07:16:56.538218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번팩스번호
연번1.0000.996
팩스번호0.9961.000

Missing values

2024-03-23T07:16:36.260884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T07:16:37.086361image/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.
2024-03-23T07:16:37.504631image/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㈜반승우육상 금속 골조 구조재 제조업 외 1 종철구조물경상남도 의령군 의령읍 구룡로 242055-572-1600055-572-16032022-03-14
12㈜한화미 의령공장조영래그 외 자동차용 신품 부품 제조업 외 6 종자동차계기판, 전자부품인쇄, 차량DECAL경상남도 의령군 의령읍 구룡로4남길 15055-573-9991055-573-99962022-03-14
23㈜코스글로벌유시탁철강선 제조업스텐레스와이어경상남도 의령군 의령읍 구룡로4남길 25055-573-0396055-573-03972022-03-14
34㈜쎄니트박승배냉간 압연 및 압출 제품 제조업 외 1 종스테인레스박판경상남도 의령군 의령읍 구룡로4남길 53055-573-8221055-573-82202022-03-14
45태림페이퍼㈜의령공장고재웅기타 종이 및 판지 제조업 외 2 종제지경상남도 의령군 의령읍 구룡로1길 39055-572-3020055-572-30252022-03-14
56경남제약㈜의령공장배건우생물학적 제제 제조업 외 1 종의약품 원료경상남도 의령군 의령읍 구룡로4남길 79055-572-8700055-573-75362022-03-14
67부산사료㈜김정학배합 사료 제조업 외 1 종곡분사료경상남도 의령군 의령읍 구룡로4남길 65055-573-0991055-573-09932022-03-14
78제이비 플러스김보람배합 사료 제조업 외 1 종곡분사료경상남도 의령군 의령읍 구룡로4길 94055-573-0991055-573-09932022-03-14
89㈜거양금속김학순자동차용 신품 동력전달장치 제조업 외 3 종자동차부품경상남도 의령군 의령읍 구룡로4남길 14-3055-573-0274055-574-02782022-03-14
910㈜세한이엔지이창호절삭가공 및 유사처리업철판경상남도 의령군 의령읍 구룡로4남길 52055-574-4562<NA>2022-03-14
연번회사명대표자명업종명생산품주소전화번호팩스번호데이터 기준일
119120성원테크박길제전기회로 개폐, 보호장치 제조업전기 차단기경상남도 의령군 지정면 함의로 7길 8055-574-9337<NA>2022-03-14
120121호암정밀김인수금속 절삭기계 제조업차단기 및 부속품경상남도 의령군 지정면 함의로 7길 8<NA><NA>2022-03-14
121122농업회사법인 ㈜논두렁안대용기타 곡물 가공품 제조업누룽지, 떡국떡경상남도 의령군 화정면 상정리 311-1055-573-5778<NA>2022-03-14
122123㈜부전산업김정희, 안성철금속 표시판 제조업교통표지판경상남도 의령군 부림면 막곡리 18-8055-572-6788<NA>2022-03-14
123124신창산업정서우끈 및 로프 제조업 외 1종어망, 로프 등경상남도 의령군 봉수면 대한로 1162-3055-573-9990<NA>2022-03-14
124125의령착한농장설영수천연 및 혼합조제 조미료 제조업천연조미료, 건조가공품경상남도 의령군 유곡면 청정로 2375-22<NA><NA>2022-03-14
125126삼영탄소산업제2공장홍진수그 외 기타 분류 안된 비금송 광물제품 제조업전극봉, 전극설경상남도 의령군 화정면 진의로 1673-7055-574-8833<NA>2022-03-14
126127이든애정상용일반용 전기 조명장치 제조업LED 조명기구경상남도 의령군 칠곡면 산남길 66055-573-1478<NA>2022-03-14
127128커스텀비이우직기타 비알코올 음료 제조업수소수(혼합음료)경상남도 의령군 부림면 오소길 53070-7456-3475<NA>2022-03-14
128129모시골푸드오재임기타 곡물가공품 제조업누룽지, 떡국떡경상남도 의령군 화정면 화정로5길 66<NA><NA>2022-03-14