Overview

Dataset statistics

Number of variables9
Number of observations88
Missing cells5
Missing cells (%)0.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.4 KiB
Average record size in memory74.5 B

Variable types

Numeric1
Text7
DateTime1

Dataset

Description남동구 100인이상 기업체 현황으로 순번,회사명,공장대표주소(도로명),전화번호,팩스번호,생산품,업종번호,업종명,데이터기준일 등 데이터를 제공합니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15087360&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일 has constant value ""Constant
전화번호 has 2 (2.3%) missing valuesMissing
팩스번호 has 3 (3.4%) missing valuesMissing
순번 has unique valuesUnique
공장대표주소(도로명) has unique valuesUnique

Reproduction

Analysis started2024-01-28 06:07:14.460488
Analysis finished2024-01-28 06:07:16.234254
Duration1.77 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct88
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.5
Minimum1
Maximum88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-01-28T15:07:16.300247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.35
Q122.75
median44.5
Q366.25
95-th percentile83.65
Maximum88
Range87
Interquartile range (IQR)43.5

Descriptive statistics

Standard deviation25.547342
Coefficient of variation (CV)0.57409757
Kurtosis-1.2
Mean44.5
Median Absolute Deviation (MAD)22
Skewness0
Sum3916
Variance652.66667
MonotonicityStrictly increasing
2024-01-28T15:07:16.405634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
46 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
61 1
 
1.1%
60 1
 
1.1%
59 1
 
1.1%
Other values (78) 78
88.6%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%
82 1
1.1%
81 1
1.1%
80 1
1.1%
79 1
1.1%

회사명
Text

Distinct84
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-01-28T15:07:16.618445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11.5
Mean length7.9545455
Min length5

Characters and Unicode

Total characters700
Distinct characters152
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

Unique81 ?
Unique (%)92.0%

Sample

1st row주식회사 우람
2nd row(주)아모텍
3rd row(주)창성
4th row한국교세라정공(주)
5th row(주)에스피지
ValueCountFrequency (%)
주)오공 3
 
3.2%
주식회사 3
 
3.2%
신한다이아몬드공업(주 2
 
2.1%
기신정기(주 2
 
2.1%
제2공장 2
 
2.1%
와이엠티(주)지점 1
 
1.1%
주)세고스 1
 
1.1%
디티알(주 1
 
1.1%
주)원태 1
 
1.1%
주)아이월드제약 1
 
1.1%
Other values (77) 77
81.9%
2024-01-28T15:07:16.945912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 87
 
12.4%
( 86
 
12.3%
) 86
 
12.3%
스 21
 
3.0%
이 20
 
2.9%
공 18
 
2.6%
아 15
 
2.1%
업 12
 
1.7%
에 12
 
1.7%
크 9
 
1.3%
Other values (142) 334
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 510
72.9%
Open Punctuation 86
 
12.3%
Close Punctuation 86
 
12.3%
Uppercase Letter 8
 
1.1%
Space Separator 6
 
0.9%
Decimal Number 3
 
0.4%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 87
 
17.1%
스 21
 
4.1%
이 20
 
3.9%
공 18
 
3.5%
아 15
 
2.9%
업 12
 
2.4%
에 12
 
2.4%
크 9
 
1.8%
트 8
 
1.6%
지 7
 
1.4%
Other values (129) 301
59.0%
Uppercase Letter
ValueCountFrequency (%)
P 1
12.5%
M 1
12.5%
J 1
12.5%
L 1
12.5%
I 1
12.5%
H 1
12.5%
X 1
12.5%
E 1
12.5%
Open Punctuation
ValueCountFrequency (%)
( 86
100.0%
Close Punctuation
ValueCountFrequency (%)
) 86
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Decimal Number
ValueCountFrequency (%)
2 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 510
72.9%
Common 182
 
26.0%
Latin 8
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 87
 
17.1%
스 21
 
4.1%
이 20
 
3.9%
공 18
 
3.5%
아 15
 
2.9%
업 12
 
2.4%
에 12
 
2.4%
크 9
 
1.8%
트 8
 
1.6%
지 7
 
1.4%
Other values (129) 301
59.0%
Latin
ValueCountFrequency (%)
P 1
12.5%
M 1
12.5%
J 1
12.5%
L 1
12.5%
I 1
12.5%
H 1
12.5%
X 1
12.5%
E 1
12.5%
Common
ValueCountFrequency (%)
( 86
47.3%
) 86
47.3%
6
 
3.3%
2 3
 
1.6%
- 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 510
72.9%
ASCII 190
 
27.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 87
 
17.1%
스 21
 
4.1%
이 20
 
3.9%
공 18
 
3.5%
아 15
 
2.9%
업 12
 
2.4%
에 12
 
2.4%
크 9
 
1.8%
트 8
 
1.6%
지 7
 
1.4%
Other values (129) 301
59.0%
ASCII
ValueCountFrequency (%)
( 86
45.3%
) 86
45.3%
6
 
3.2%
2 3
 
1.6%
P 1
 
0.5%
M 1
 
0.5%
J 1
 
0.5%
L 1
 
0.5%
- 1
 
0.5%
I 1
 
0.5%
Other values (3) 3
 
1.6%

공장대표주소(도로명)
Text

UNIQUE 

Distinct88
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-01-28T15:07:17.204147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length49
Mean length36.988636
Min length23

Characters and Unicode

Total characters3255
Distinct characters89
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

Unique88 ?
Unique (%)100.0%

Sample

1st row인천광역시 남동구 남동동로 56(고잔동) 외 3필지
2nd row인천광역시 남동구 남동서로 380, 5블럭 1로트 (남촌동)
3rd row인천광역시 남동구 승기천로 320, 11블록8,9로트 (남촌동) 외 1필지
4th row인천광역시 남동구 남동대로215번길 11, 69블럭 2로트 (고잔동)
5th row인천광역시 남동구 청능대로289번길 45, 67블럭 4로트 (고잔동) 외 1필지
ValueCountFrequency (%)
인천광역시 88
 
14.3%
남동구 88
 
14.3%
고잔동 53
 
8.6%
남촌동 16
 
2.6%
외 13
 
2.1%
남동대로 12
 
1.9%
논현동 11
 
1.8%
남동서로 9
 
1.5%
1필지 8
 
1.3%
5로트 6
 
1.0%
Other values (225) 313
50.7%
2024-01-28T15:07:17.604539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
529
 
16.3%
동 235
 
7.2%
로 152
 
4.7%
남 150
 
4.6%
1 134
 
4.1%
) 99
 
3.0%
( 99
 
3.0%
구 93
 
2.9%
천 89
 
2.7%
인 88
 
2.7%
Other values (79) 1587
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1767
54.3%
Decimal Number 646
 
19.8%
Space Separator 529
 
16.3%
Close Punctuation 100
 
3.1%
Open Punctuation 100
 
3.1%
Other Punctuation 88
 
2.7%
Dash Punctuation 14
 
0.4%
Uppercase Letter 9
 
0.3%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 235
 
13.3%
로 152
 
8.6%
남 150
 
8.5%
구 93
 
5.3%
천 89
 
5.0%
인 88
 
5.0%
시 88
 
5.0%
역 88
 
5.0%
광 88
 
5.0%
고 70
 
4.0%
Other values (56) 626
35.4%
Decimal Number
ValueCountFrequency (%)
1 134
20.7%
3 78
12.1%
4 72
11.1%
2 69
10.7%
5 67
10.4%
6 56
8.7%
7 54
8.4%
9 47
 
7.3%
0 36
 
5.6%
8 33
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
B 3
33.3%
L 3
33.3%
E 2
22.2%
S 1
 
11.1%
Close Punctuation
ValueCountFrequency (%)
) 99
99.0%
] 1
 
1.0%
Open Punctuation
ValueCountFrequency (%)
( 99
99.0%
[ 1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 85
96.6%
. 3
 
3.4%
Space Separator
ValueCountFrequency (%)
529
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1767
54.3%
Common 1479
45.4%
Latin 9
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 235
 
13.3%
로 152
 
8.6%
남 150
 
8.5%
구 93
 
5.3%
천 89
 
5.0%
인 88
 
5.0%
시 88
 
5.0%
역 88
 
5.0%
광 88
 
5.0%
고 70
 
4.0%
Other values (56) 626
35.4%
Common
ValueCountFrequency (%)
529
35.8%
1 134
 
9.1%
) 99
 
6.7%
( 99
 
6.7%
, 85
 
5.7%
3 78
 
5.3%
4 72
 
4.9%
2 69
 
4.7%
5 67
 
4.5%
6 56
 
3.8%
Other values (9) 191
 
12.9%
Latin
ValueCountFrequency (%)
B 3
33.3%
L 3
33.3%
E 2
22.2%
S 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1767
54.3%
ASCII 1488
45.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
529
35.6%
1 134
 
9.0%
) 99
 
6.7%
( 99
 
6.7%
, 85
 
5.7%
3 78
 
5.2%
4 72
 
4.8%
2 69
 
4.6%
5 67
 
4.5%
6 56
 
3.8%
Other values (13) 200
 
13.4%
Hangul
ValueCountFrequency (%)
동 235
 
13.3%
로 152
 
8.6%
남 150
 
8.5%
구 93
 
5.3%
천 89
 
5.0%
인 88
 
5.0%
시 88
 
5.0%
역 88
 
5.0%
광 88
 
5.0%
고 70
 
4.0%
Other values (56) 626
35.4%

전화번호
Text

MISSING 

Distinct82
Distinct (%)95.3%
Missing2
Missing (%)2.3%
Memory size836.0 B
2024-01-28T15:07:17.828369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.988372
Min length11

Characters and Unicode

Total characters1031
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

Unique79 ?
Unique (%)91.9%

Sample

1st row02-558-7066
2nd row032-821-0363
3rd row032-450-8724
4th row032-821-8430
5th row032-820-8200
ValueCountFrequency (%)
032-585-2150 3
 
3.5%
032-821-8277 2
 
2.3%
032-817-5941 2
 
2.3%
032-815-4401 1
 
1.2%
032-815-5512 1
 
1.2%
032-817-7733 1
 
1.2%
032-815-2751 1
 
1.2%
032-813-5500 1
 
1.2%
032-811-8620 1
 
1.2%
032-819-5413 1
 
1.2%
Other values (72) 72
83.7%
2024-01-28T15:07:18.175816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 172
16.7%
0 159
15.4%
2 143
13.9%
1 134
13.0%
3 121
11.7%
8 102
9.9%
5 57
 
5.5%
7 46
 
4.5%
4 34
 
3.3%
6 33
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 859
83.3%
Dash Punctuation 172
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 159
18.5%
2 143
16.6%
1 134
15.6%
3 121
14.1%
8 102
11.9%
5 57
 
6.6%
7 46
 
5.4%
4 34
 
4.0%
6 33
 
3.8%
9 30
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 172
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 172
16.7%
0 159
15.4%
2 143
13.9%
1 134
13.0%
3 121
11.7%
8 102
9.9%
5 57
 
5.5%
7 46
 
4.5%
4 34
 
3.3%
6 33
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 172
16.7%
0 159
15.4%
2 143
13.9%
1 134
13.0%
3 121
11.7%
8 102
9.9%
5 57
 
5.5%
7 46
 
4.5%
4 34
 
3.3%
6 33
 
3.2%

팩스번호
Text

MISSING 

Distinct81
Distinct (%)95.3%
Missing3
Missing (%)3.4%
Memory size836.0 B
2024-01-28T15:07:18.401247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.976471
Min length11

Characters and Unicode

Total characters1018
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

Unique78 ?
Unique (%)91.8%

Sample

1st row02-558-7067
2nd row032-811-0283
3rd row032-812-8779
4th row032-575-5717
5th row032-812-4806
ValueCountFrequency (%)
032-574-0388 3
 
3.5%
032-812-5061 2
 
2.4%
032-814-1194 2
 
2.4%
032-811-0248 1
 
1.2%
032-821-0074 1
 
1.2%
032-819-7939 1
 
1.2%
032-815-2753 1
 
1.2%
032-813-5505 1
 
1.2%
032-811-8625 1
 
1.2%
032-819-5416 1
 
1.2%
Other values (71) 71
83.5%
2024-01-28T15:07:18.702373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 170
16.7%
0 138
13.6%
2 138
13.6%
3 117
11.5%
1 112
11.0%
8 111
10.9%
5 55
 
5.4%
7 54
 
5.3%
6 48
 
4.7%
9 39
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 848
83.3%
Dash Punctuation 170
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 138
16.3%
2 138
16.3%
3 117
13.8%
1 112
13.2%
8 111
13.1%
5 55
 
6.5%
7 54
 
6.4%
6 48
 
5.7%
9 39
 
4.6%
4 36
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 170
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1018
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 170
16.7%
0 138
13.6%
2 138
13.6%
3 117
11.5%
1 112
11.0%
8 111
10.9%
5 55
 
5.4%
7 54
 
5.3%
6 48
 
4.7%
9 39
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1018
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 170
16.7%
0 138
13.6%
2 138
13.6%
3 117
11.5%
1 112
11.0%
8 111
10.9%
5 55
 
5.4%
7 54
 
5.3%
6 48
 
4.7%
9 39
 
3.8%

생산품
Text

Distinct83
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-01-28T15:07:18.968038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length23
Mean length11.738636
Min length2

Characters and Unicode

Total characters1033
Distinct characters236
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

Unique78 ?
Unique (%)88.6%

Sample

1st row물품보관서비스
2nd row바리스터
3rd row분말,페이스트,코일
4th row호환성 공구
5th row소형정밀 기어모터
ValueCountFrequency (%)
및 8
 
3.9%
부품 7
 
3.4%
금형 4
 
1.9%
등 4
 
1.9%
외 4
 
1.9%
산업용 3
 
1.5%
인쇄회로기판 3
 
1.5%
접착제 3
 
1.5%
자동차 3
 
1.5%
diamomd 2
 
1.0%
Other values (151) 165
80.1%
2024-01-28T15:07:19.323406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
121
 
11.7%
, 36
 
3.5%
품 27
 
2.6%
기 26
 
2.5%
스 20
 
1.9%
부 17
 
1.6%
자 17
 
1.6%
E 16
 
1.5%
장 16
 
1.5%
e 16
 
1.5%
Other values (226) 721
69.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 601
58.2%
Uppercase Letter 143
 
13.8%
Space Separator 121
 
11.7%
Lowercase Letter 103
 
10.0%
Other Punctuation 46
 
4.5%
Close Punctuation 8
 
0.8%
Open Punctuation 8
 
0.8%
Decimal Number 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 27
 
4.5%
기 26
 
4.3%
스 20
 
3.3%
부 17
 
2.8%
자 17
 
2.8%
장 16
 
2.7%
용 14
 
2.3%
차 13
 
2.2%
동 12
 
2.0%
이 9
 
1.5%
Other values (176) 430
71.5%
Uppercase Letter
ValueCountFrequency (%)
E 16
 
11.2%
S 12
 
8.4%
D 11
 
7.7%
P 10
 
7.0%
R 10
 
7.0%
L 9
 
6.3%
A 9
 
6.3%
M 8
 
5.6%
O 8
 
5.6%
T 8
 
5.6%
Other values (11) 42
29.4%
Lowercase Letter
ValueCountFrequency (%)
e 16
15.5%
a 12
11.7%
r 11
10.7%
i 10
9.7%
o 8
7.8%
t 7
6.8%
s 7
6.8%
l 6
 
5.8%
m 5
 
4.9%
n 4
 
3.9%
Other values (9) 17
16.5%
Other Punctuation
ValueCountFrequency (%)
, 36
78.3%
. 7
 
15.2%
/ 2
 
4.3%
' 1
 
2.2%
Decimal Number
ValueCountFrequency (%)
1 1
33.3%
4 1
33.3%
9 1
33.3%
Space Separator
ValueCountFrequency (%)
121
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 601
58.2%
Latin 246
23.8%
Common 186
 
18.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 27
 
4.5%
기 26
 
4.3%
스 20
 
3.3%
부 17
 
2.8%
자 17
 
2.8%
장 16
 
2.7%
용 14
 
2.3%
차 13
 
2.2%
동 12
 
2.0%
이 9
 
1.5%
Other values (176) 430
71.5%
Latin
ValueCountFrequency (%)
E 16
 
6.5%
e 16
 
6.5%
a 12
 
4.9%
S 12
 
4.9%
r 11
 
4.5%
D 11
 
4.5%
P 10
 
4.1%
R 10
 
4.1%
i 10
 
4.1%
L 9
 
3.7%
Other values (30) 129
52.4%
Common
ValueCountFrequency (%)
121
65.1%
, 36
 
19.4%
) 8
 
4.3%
( 8
 
4.3%
. 7
 
3.8%
/ 2
 
1.1%
1 1
 
0.5%
4 1
 
0.5%
9 1
 
0.5%
' 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 601
58.2%
ASCII 432
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
121
28.0%
, 36
 
8.3%
E 16
 
3.7%
e 16
 
3.7%
a 12
 
2.8%
S 12
 
2.8%
r 11
 
2.5%
D 11
 
2.5%
P 10
 
2.3%
R 10
 
2.3%
Other values (40) 177
41.0%
Hangul
ValueCountFrequency (%)
품 27
 
4.5%
기 26
 
4.3%
스 20
 
3.3%
부 17
 
2.8%
자 17
 
2.8%
장 16
 
2.7%
용 14
 
2.3%
차 13
 
2.2%
동 12
 
2.0%
이 9
 
1.5%
Other values (176) 430
71.5%

업종번호
Text

Distinct72
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-01-28T15:07:19.500530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length47
Mean length13.727273
Min length5

Characters and Unicode

Total characters1208
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

Unique62 ?
Unique (%)70.5%

Sample

1st row52101+52102+52109
2nd row26299+26295
3rd row24290+26294+28902
4th row25934
5th row28111+26421+29142
ValueCountFrequency (%)
25934 4
 
4.5%
29294 4
 
4.5%
13229 3
 
3.4%
20493 3
 
3.4%
30320+30400 2
 
2.3%
26299+26295 2
 
2.3%
30331+30400 2
 
2.3%
26221+26222+26223 2
 
2.3%
20423 2
 
2.3%
29171+29172+29173+29250 2
 
2.3%
Other values (62) 62
70.5%
2024-01-28T15:07:19.762174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 349
28.9%
9 156
12.9%
1 156
12.9%
+ 128
 
10.6%
0 121
 
10.0%
3 106
 
8.8%
4 68
 
5.6%
5 45
 
3.7%
6 44
 
3.6%
7 21
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1080
89.4%
Math Symbol 128
 
10.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 349
32.3%
9 156
14.4%
1 156
14.4%
0 121
 
11.2%
3 106
 
9.8%
4 68
 
6.3%
5 45
 
4.2%
6 44
 
4.1%
7 21
 
1.9%
8 14
 
1.3%
Math Symbol
ValueCountFrequency (%)
+ 128
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1208
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 349
28.9%
9 156
12.9%
1 156
12.9%
+ 128
 
10.6%
0 121
 
10.0%
3 106
 
8.8%
4 68
 
5.6%
5 45
 
3.7%
6 44
 
3.6%
7 21
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1208
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 349
28.9%
9 156
12.9%
1 156
12.9%
+ 128
 
10.6%
0 121
 
10.0%
3 106
 
8.8%
4 68
 
5.6%
5 45
 
3.7%
6 44
 
3.6%
7 21
 
1.7%

업종명
Text

Distinct69
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-01-28T15:07:19.999043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length23
Mean length18.465909
Min length7

Characters and Unicode

Total characters1625
Distinct characters147
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

Unique57 ?
Unique (%)64.8%

Sample

1st row일반 창고업 외 2 종
2nd row그 외 기타 전자부품 제조업 외 1 종
3rd row기타 1차 비철금속 제조업 외 2 종
4th row톱 및 호환성 공구 제조업
5th row전동기 및 발전기 제조업 외 2 종
ValueCountFrequency (%)
제조업 80
 
14.7%
외 67
 
12.3%
종 57
 
10.5%
및 31
 
5.7%
기타 25
 
4.6%
1 24
 
4.4%
2 16
 
2.9%
신품 11
 
2.0%
그 10
 
1.8%
3 9
 
1.7%
Other values (103) 214
39.3%
2024-01-28T15:07:20.355111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
456
28.1%
제 107
 
6.6%
업 90
 
5.5%
조 87
 
5.4%
외 69
 
4.2%
종 57
 
3.5%
기 51
 
3.1%
품 46
 
2.8%
및 31
 
1.9%
용 31
 
1.9%
Other values (137) 600
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1105
68.0%
Space Separator 456
28.1%
Decimal Number 58
 
3.6%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 107
 
9.7%
업 90
 
8.1%
조 87
 
7.9%
외 69
 
6.2%
종 57
 
5.2%
기 51
 
4.6%
품 46
 
4.2%
및 31
 
2.8%
용 31
 
2.8%
타 25
 
2.3%
Other values (125) 511
46.2%
Decimal Number
ValueCountFrequency (%)
1 25
43.1%
2 16
27.6%
3 9
 
15.5%
6 2
 
3.4%
5 2
 
3.4%
4 2
 
3.4%
8 1
 
1.7%
7 1
 
1.7%
Space Separator
ValueCountFrequency (%)
456
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1105
68.0%
Common 520
32.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 107
 
9.7%
업 90
 
8.1%
조 87
 
7.9%
외 69
 
6.2%
종 57
 
5.2%
기 51
 
4.6%
품 46
 
4.2%
및 31
 
2.8%
용 31
 
2.8%
타 25
 
2.3%
Other values (125) 511
46.2%
Common
ValueCountFrequency (%)
456
87.7%
1 25
 
4.8%
2 16
 
3.1%
3 9
 
1.7%
( 2
 
0.4%
) 2
 
0.4%
6 2
 
0.4%
, 2
 
0.4%
5 2
 
0.4%
4 2
 
0.4%
Other values (2) 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1105
68.0%
ASCII 520
32.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
456
87.7%
1 25
 
4.8%
2 16
 
3.1%
3 9
 
1.7%
( 2
 
0.4%
) 2
 
0.4%
6 2
 
0.4%
, 2
 
0.4%
5 2
 
0.4%
4 2
 
0.4%
Other values (2) 2
 
0.4%
Hangul
ValueCountFrequency (%)
제 107
 
9.7%
업 90
 
8.1%
조 87
 
7.9%
외 69
 
6.2%
종 57
 
5.2%
기 51
 
4.6%
품 46
 
4.2%
및 31
 
2.8%
용 31
 
2.8%
타 25
 
2.3%
Other values (125) 511
46.2%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size836.0 B
Minimum2023-03-16 00:00:00
Maximum2023-03-16 00:00:00
2024-01-28T15:07:20.456927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:07:20.525597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-28T15:07:15.908191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T15:07:20.584617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번회사명공장대표주소(도로명)전화번호팩스번호생산품업종번호업종명
순번1.0000.7551.0000.6230.6540.8710.8280.783
회사명0.7551.0001.0000.9970.9990.9971.0001.000
공장대표주소(도로명)1.0001.0001.0001.0001.0001.0001.0001.000
전화번호0.6230.9971.0001.0000.9990.9820.9850.995
팩스번호0.6540.9991.0000.9991.0000.9980.9960.999
생산품0.8710.9971.0000.9820.9981.0000.9990.999
업종번호0.8281.0001.0000.9850.9960.9991.0001.000
업종명0.7831.0001.0000.9950.9990.9991.0001.000

Missing values

2024-01-28T15:07:15.991293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T15:07:16.108197image/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.
2024-01-28T15:07:16.192290image/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

순번회사명공장대표주소(도로명)전화번호팩스번호생산품업종번호업종명데이터기준일
01주식회사 우람인천광역시 남동구 남동동로 56(고잔동) 외 3필지02-558-706602-558-7067물품보관서비스52101+52102+52109일반 창고업 외 2 종2023-03-16
12(주)아모텍인천광역시 남동구 남동서로 380, 5블럭 1로트 (남촌동)032-821-0363032-811-0283바리스터26299+26295그 외 기타 전자부품 제조업 외 1 종2023-03-16
23(주)창성인천광역시 남동구 승기천로 320, 11블록8,9로트 (남촌동) 외 1필지032-450-8724032-812-8779분말,페이스트,코일24290+26294+28902기타 1차 비철금속 제조업 외 2 종2023-03-16
34한국교세라정공(주)인천광역시 남동구 남동대로215번길 11, 69블럭 2로트 (고잔동)032-821-8430032-575-5717호환성 공구25934톱 및 호환성 공구 제조업2023-03-16
45(주)에스피지인천광역시 남동구 청능대로289번길 45, 67블럭 4로트 (고잔동) 외 1필지032-820-8200032-812-4806소형정밀 기어모터28111+26421+29142전동기 및 발전기 제조업 외 2 종2023-03-16
56세일전자(주)인천광역시 남동구 남동동로 281, 47블럭 9로트 (논현동)032-816-5511032-816-5516인쇄회로기판,전자부품도금26221+25922+26222+26223인쇄회로기판용 적층판 제조업 외 3 종2023-03-16
67(주)에몬스가구인천광역시 남동구 논현고잔로 47, 169블록 6,7로트(2필지) (고잔동)032-816-2233032-816-2239목재가구32029+32021기타 목재가구 제조업 외 1 종2023-03-16
78(주)대동시스템인천광역시 남동구 남동대로 419, 3블럭 3로트 (남촌동)032-813-8171032-813-7637자동차 부품30331+30400자동차용 신품 동력전달장치 제조업 외 1 종2023-03-16
89기신정기(주)인천광역시 남동구 은봉로 111, 49블럭 1로트 (논현동)032-817-5941032-814-7188몰드베이스, 호아플레이트29294주형 및 금형 제조업2023-03-16
910한국단자공업(주)인천광역시 남동구 은봉로 123, 49블럭 3로트 (논현동)032-814-9981032-814-8860Terminai, Housng, P.G26299+26295그 외 기타 전자부품 제조업 외 1 종2023-03-16
순번회사명공장대표주소(도로명)전화번호팩스번호생산품업종번호업종명데이터기준일
7879삼일산업(주)인천광역시 남동구 남동대로 310, 44블록 12로트 (논현동) (총 3 필지) 외 2필지032-819-9671032-819-9693Level Gauge외27211레이더, 항행용 무선기기 및 측량기구 제조업2023-03-16
7980(주)화인인더스트리인천광역시 남동구 청능대로 405, 77블럭 3로트 (고잔동)032-816-0231032-816-0238P.V.C FILM SHEET22212+22213플라스틱 필름 제조업 외 1 종2023-03-16
8081(주)송현테크인천광역시 남동구 은봉로105번길 40, 48블럭 1로트 (논현동)032-822-9303032-813-9057도장 및 피막처리(핸드폰 부품)25923도장 및 기타 피막처리업2023-03-16
8182(주)에이치아이글로넷인천광역시 남동구 남동서로 268, 21블럭 1로트(논현동)032-819-5111032-819-5222KF94마스크13229기타 직물제품 제조업2023-03-16
8283(주)디딤이앤에프인천광역시 남동구 논현로46번길 39-24, 1동 1~4층 (403호,404호제외)호(논현동) 1동 1~4층 (403호,404호제외)호032-819-6870032-815-6870양념육, 포장육, 소스류10129+10122+10742육류 기타 가공 및 저장처리업 (가금류 제외) 외 2 종2023-03-16
8384(주)예림키친인천광역시 남동구 논현고잔로135번길 29(고잔동, (주)예림임업)032-585-2150032-574-0388나무 문16221+22223+32021목재문 및 관련제품 제조업 외 2 종2023-03-16
8485신한다이아몬드공업(주)인천광역시 남동구 남촌동 610-6번지 36블럭 7로트032-814-2211032-814-1194Diamomd Saw Blade, Metal Resin .Vitri Rotory/Dresser25934톱 및 호환성 공구 제조업2023-03-16
8586(주)라라필터인천광역시 남동구 호구포로 92 (고잔동) 4층, 106블럭 8로트<NA><NA>마스크13229기타 직물제품 제조업2023-03-16
8687(주)태시인천광역시 남동구 남동대로49번길 42 (고잔동) 한신 E.L 4층<NA><NA>마스크13229기타 직물제품 제조업2023-03-16
8788기신정기(주)인천광역시 남동구 남동대로 175, 86블럭 2로트 (고잔동)032-817-5941032-815-0230MOLD BASE,CORE PLATE29294주형 및 금형 제조업2023-03-16