Overview

Dataset statistics

Number of variables8
Number of observations121
Missing cells18
Missing cells (%)1.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.8 KiB
Average record size in memory66.1 B

Variable types

Numeric1
Text5
Categorical2

Dataset

Description인천광역시 서구 가구 제조업체 현황 (회사명, 생산품, 업종명, 대표주소, 전화번호, 팩스번호 등) 에 관한 데이터입니다.
Author인천광역시 서구
URLhttps://www.data.go.kr/data/15089577/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 14 (11.6%) missing valuesMissing
팩스번호 has 4 (3.3%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:38:47.517907
Analysis finished2023-12-12 09:38:48.701017
Duration1.18 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
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
2023-12-12T18:38:48.792333image/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
2023-12-12T18:38:48.994882image/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

Distinct119
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T18:38:49.327926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length6.5289256
Min length2

Characters and Unicode

Total characters790
Distinct characters186
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique117 ?
Unique (%)96.7%

Sample

1st row(사)한국장애인기업협회 가구사업소
2nd row(주)가공보드
3rd row(주)감휴먼테크
4th row(주)건우체어
5th row(주)건일기업
ValueCountFrequency (%)
주)광일체어 2
 
1.5%
주)스토즈 2
 
1.5%
다원코리아 1
 
0.8%
선빈하우징 1
 
0.8%
원강퍼니처 1
 
0.8%
우주타일 1
 
0.8%
우드텍 1
 
0.8%
테크 1
 
0.8%
홈 1
 
0.8%
예작 1
 
0.8%
Other values (119) 119
90.8%
2023-12-12T18:38:49.822537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 64
 
8.1%
) 64
 
8.1%
주 62
 
7.8%
스 28
 
3.5%
인 25
 
3.2%
이 25
 
3.2%
가 22
 
2.8%
구 20
 
2.5%
업 19
 
2.4%
디 14
 
1.8%
Other values (176) 447
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 641
81.1%
Open Punctuation 64
 
8.1%
Close Punctuation 64
 
8.1%
Space Separator 10
 
1.3%
Uppercase Letter 6
 
0.8%
Decimal Number 4
 
0.5%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 62
 
9.7%
스 28
 
4.4%
인 25
 
3.9%
이 25
 
3.9%
가 22
 
3.4%
구 20
 
3.1%
업 19
 
3.0%
디 14
 
2.2%
에 14
 
2.2%
퍼 13
 
2.0%
Other values (164) 399
62.2%
Uppercase Letter
ValueCountFrequency (%)
H 2
33.3%
M 1
16.7%
I 1
16.7%
S 1
16.7%
Z 1
16.7%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
0 1
25.0%
5 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 64
100.0%
Close Punctuation
ValueCountFrequency (%)
) 64
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 642
81.3%
Common 142
 
18.0%
Latin 6
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 62
 
9.7%
스 28
 
4.4%
인 25
 
3.9%
이 25
 
3.9%
가 22
 
3.4%
구 20
 
3.1%
업 19
 
3.0%
디 14
 
2.2%
에 14
 
2.2%
퍼 13
 
2.0%
Other values (165) 400
62.3%
Common
ValueCountFrequency (%)
( 64
45.1%
) 64
45.1%
10
 
7.0%
2 2
 
1.4%
0 1
 
0.7%
5 1
 
0.7%
Latin
ValueCountFrequency (%)
H 2
33.3%
M 1
16.7%
I 1
16.7%
S 1
16.7%
Z 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 641
81.1%
ASCII 148
 
18.7%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 64
43.2%
) 64
43.2%
10
 
6.8%
H 2
 
1.4%
2 2
 
1.4%
M 1
 
0.7%
I 1
 
0.7%
0 1
 
0.7%
5 1
 
0.7%
S 1
 
0.7%
Hangul
ValueCountFrequency (%)
주 62
 
9.7%
스 28
 
4.4%
인 25
 
3.9%
이 25
 
3.9%
가 22
 
3.4%
구 20
 
3.1%
업 19
 
3.0%
디 14
 
2.2%
에 14
 
2.2%
퍼 13
 
2.0%
Other values (164) 399
62.2%
None
ValueCountFrequency (%)
㈜ 1
100.0%

생산품
Text

Distinct85
Distinct (%)70.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T18:38:50.177886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length21
Mean length7.2479339
Min length2

Characters and Unicode

Total characters877
Distinct characters145
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)62.8%

Sample

1st row사무용가구
2nd row보링목재
3rd row욕실수납장, 기타 가구제조
4th row의자
5th row욕실가구
ValueCountFrequency (%)
가구 22
 
11.4%
목재가구 18
 
9.3%
사무용가구 7
 
3.6%
의자 5
 
2.6%
주방가구 4
 
2.1%
원목가구 4
 
2.1%
및 4
 
2.1%
책상 4
 
2.1%
쇼파 3
 
1.6%
금속가구 3
 
1.6%
Other values (108) 119
61.7%
2023-12-12T18:38:50.674405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
가 102
 
11.6%
구 99
 
11.3%
72
 
8.2%
, 51
 
5.8%
목 38
 
4.3%
재 30
 
3.4%
용 25
 
2.9%
장 17
 
1.9%
사 16
 
1.8%
무 15
 
1.7%
Other values (135) 412
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 733
83.6%
Space Separator 72
 
8.2%
Other Punctuation 52
 
5.9%
Close Punctuation 7
 
0.8%
Open Punctuation 7
 
0.8%
Uppercase Letter 6
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 102
 
13.9%
구 99
 
13.5%
목 38
 
5.2%
재 30
 
4.1%
용 25
 
3.4%
장 17
 
2.3%
사 16
 
2.2%
무 15
 
2.0%
대 15
 
2.0%
자 14
 
1.9%
Other values (127) 362
49.4%
Uppercase Letter
ValueCountFrequency (%)
T 2
33.3%
P 2
33.3%
A 2
33.3%
Other Punctuation
ValueCountFrequency (%)
, 51
98.1%
. 1
 
1.9%
Space Separator
ValueCountFrequency (%)
72
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 733
83.6%
Common 138
 
15.7%
Latin 6
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 102
 
13.9%
구 99
 
13.5%
목 38
 
5.2%
재 30
 
4.1%
용 25
 
3.4%
장 17
 
2.3%
사 16
 
2.2%
무 15
 
2.0%
대 15
 
2.0%
자 14
 
1.9%
Other values (127) 362
49.4%
Common
ValueCountFrequency (%)
72
52.2%
, 51
37.0%
) 7
 
5.1%
( 7
 
5.1%
. 1
 
0.7%
Latin
ValueCountFrequency (%)
T 2
33.3%
P 2
33.3%
A 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 733
83.6%
ASCII 144
 
16.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
가 102
 
13.9%
구 99
 
13.5%
목 38
 
5.2%
재 30
 
4.1%
용 25
 
3.4%
장 17
 
2.3%
사 16
 
2.2%
무 15
 
2.0%
대 15
 
2.0%
자 14
 
1.9%
Other values (127) 362
49.4%
ASCII
ValueCountFrequency (%)
72
50.0%
, 51
35.4%
) 7
 
4.9%
( 7
 
4.9%
T 2
 
1.4%
P 2
 
1.4%
A 2
 
1.4%
. 1
 
0.7%

업종명
Categorical

Distinct15
Distinct (%)12.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
기타 목재가구 제조업
50 
기타 목재가구 제조업 외 1 종
23 
주방용 및 음식점용 목재가구 제조업
10 
주방용 및 음식점용 목재가구 제조업 외 1 종
7 
소파 및 기타 내장가구 제조업
6 
Other values (10)
25 

Length

Max length25
Median length22
Mean length14.677686
Min length9

Unique

Unique5 ?
Unique (%)4.1%

Sample

1st row기타 목재가구 제조업 외 1 종
2nd row기타 목재가구 제조업
3rd row그 외 기타 가구 제조업
4th row소파 및 기타 내장가구 제조업
5th row금속 가구 제조업 외 1 종

Common Values

ValueCountFrequency (%)
기타 목재가구 제조업 50
41.3%
기타 목재가구 제조업 외 1 종 23
19.0%
주방용 및 음식점용 목재가구 제조업 10
 
8.3%
주방용 및 음식점용 목재가구 제조업 외 1 종 7
 
5.8%
소파 및 기타 내장가구 제조업 6
 
5.0%
금속 가구 제조업 외 1 종 6
 
5.0%
금속 가구 제조업 6
 
5.0%
그 외 기타 가구 제조업 3
 
2.5%
소파 및 기타 내장가구 제조업 외 1 종 3
 
2.5%
그 외 기타 가구 제조업 외 1 종 2
 
1.7%
Other values (5) 5
 
4.1%

Length

2023-12-12T18:38:50.891966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제조업 121
21.4%
목재가구 92
16.3%
기타 88
15.6%
외 51
9.0%
종 46
 
8.1%
1 41
 
7.3%
및 27
 
4.8%
가구 20
 
3.5%
주방용 18
 
3.2%
음식점용 18
 
3.2%
Other values (8) 43
 
7.6%

대표주소
Text

Distinct112
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T18:38:51.331702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length38
Mean length29.057851
Min length19

Characters and Unicode

Total characters3516
Distinct characters135
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

Unique108 ?
Unique (%)89.3%

Sample

1st row인천광역시 서구 가현산로23번길 36 (마전동)
2nd row인천광역시 서구 북항로177번길 124 (원창동) B동
3rd row인천광역시 서구 도곡로 121-4 (대곡동)
4th row인천광역시 서구 가정로77번길 31 (가좌동)
5th row인천광역시 서구 대곡로89번안길 24-7 (대곡동)
ValueCountFrequency (%)
인천광역시 121
 
16.8%
서구 121
 
16.8%
가좌동 41
 
5.7%
원창동 17
 
2.4%
오류동 16
 
2.2%
외 13
 
1.8%
석남동 11
 
1.5%
대곡동 10
 
1.4%
백범로 8
 
1.1%
1필지 8
 
1.1%
Other values (222) 354
49.2%
2023-12-12T18:38:51.967760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
599
 
17.0%
동 147
 
4.2%
1 128
 
3.6%
( 124
 
3.5%
서 124
 
3.5%
) 124
 
3.5%
구 123
 
3.5%
광 122
 
3.5%
시 122
 
3.5%
인 121
 
3.4%
Other values (125) 1782
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1958
55.7%
Decimal Number 608
 
17.3%
Space Separator 599
 
17.0%
Open Punctuation 124
 
3.5%
Close Punctuation 124
 
3.5%
Other Punctuation 52
 
1.5%
Dash Punctuation 34
 
1.0%
Uppercase Letter 16
 
0.5%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 147
 
7.5%
서 124
 
6.3%
구 123
 
6.3%
광 122
 
6.2%
시 122
 
6.2%
인 121
 
6.2%
역 121
 
6.2%
천 121
 
6.2%
로 119
 
6.1%
가 71
 
3.6%
Other values (103) 767
39.2%
Decimal Number
ValueCountFrequency (%)
1 128
21.1%
2 95
15.6%
4 64
10.5%
5 56
9.2%
0 55
9.0%
3 54
8.9%
7 45
 
7.4%
8 42
 
6.9%
9 42
 
6.9%
6 27
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
B 10
62.5%
T 2
 
12.5%
A 2
 
12.5%
C 1
 
6.2%
U 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 51
98.1%
/ 1
 
1.9%
Space Separator
ValueCountFrequency (%)
599
100.0%
Open Punctuation
ValueCountFrequency (%)
( 124
100.0%
Close Punctuation
ValueCountFrequency (%)
) 124
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1958
55.7%
Common 1541
43.8%
Latin 17
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 147
 
7.5%
서 124
 
6.3%
구 123
 
6.3%
광 122
 
6.2%
시 122
 
6.2%
인 121
 
6.2%
역 121
 
6.2%
천 121
 
6.2%
로 119
 
6.1%
가 71
 
3.6%
Other values (103) 767
39.2%
Common
ValueCountFrequency (%)
599
38.9%
1 128
 
8.3%
( 124
 
8.0%
) 124
 
8.0%
2 95
 
6.2%
4 64
 
4.2%
5 56
 
3.6%
0 55
 
3.6%
3 54
 
3.5%
, 51
 
3.3%
Other values (6) 191
 
12.4%
Latin
ValueCountFrequency (%)
B 10
58.8%
T 2
 
11.8%
A 2
 
11.8%
c 1
 
5.9%
C 1
 
5.9%
U 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1958
55.7%
ASCII 1558
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
599
38.4%
1 128
 
8.2%
( 124
 
8.0%
) 124
 
8.0%
2 95
 
6.1%
4 64
 
4.1%
5 56
 
3.6%
0 55
 
3.5%
3 54
 
3.5%
, 51
 
3.3%
Other values (12) 208
 
13.4%
Hangul
ValueCountFrequency (%)
동 147
 
7.5%
서 124
 
6.3%
구 123
 
6.3%
광 122
 
6.2%
시 122
 
6.2%
인 121
 
6.2%
역 121
 
6.2%
천 121
 
6.2%
로 119
 
6.1%
가 71
 
3.6%
Other values (103) 767
39.2%

전화번호
Text

MISSING 

Distinct101
Distinct (%)94.4%
Missing14
Missing (%)11.6%
Memory size1.1 KiB
2023-12-12T18:38:52.278045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.009346
Min length12

Characters and Unicode

Total characters1285
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

Unique96 ?
Unique (%)89.7%

Sample

1st row032-569-3917
2nd row032-710-0858
3rd row032-568-7300
4th row032-577-5358
5th row055-283-4497
ValueCountFrequency (%)
032-822-2290 3
 
2.8%
032-569-1401 2
 
1.9%
032-563-2700 2
 
1.9%
032-567-7500 2
 
1.9%
032-576-5361 2
 
1.9%
032-822-7701 1
 
0.9%
032-568-8389 1
 
0.9%
032-575-0897 1
 
0.9%
032-565-8970 1
 
0.9%
032-578-4826 1
 
0.9%
Other values (91) 91
85.0%
2023-12-12T18:38:52.741376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 214
16.7%
0 183
14.2%
3 167
13.0%
2 167
13.0%
5 138
10.7%
7 95
7.4%
6 79
 
6.1%
8 73
 
5.7%
1 61
 
4.7%
4 55
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1071
83.3%
Dash Punctuation 214
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 183
17.1%
3 167
15.6%
2 167
15.6%
5 138
12.9%
7 95
8.9%
6 79
7.4%
8 73
 
6.8%
1 61
 
5.7%
4 55
 
5.1%
9 53
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 214
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1285
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 214
16.7%
0 183
14.2%
3 167
13.0%
2 167
13.0%
5 138
10.7%
7 95
7.4%
6 79
 
6.1%
8 73
 
5.7%
1 61
 
4.7%
4 55
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1285
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 214
16.7%
0 183
14.2%
3 167
13.0%
2 167
13.0%
5 138
10.7%
7 95
7.4%
6 79
 
6.1%
8 73
 
5.7%
1 61
 
4.7%
4 55
 
4.3%

팩스번호
Text

MISSING 

Distinct111
Distinct (%)94.9%
Missing4
Missing (%)3.3%
Memory size1.1 KiB
2023-12-12T18:38:53.094553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.051282
Min length11

Characters and Unicode

Total characters1410
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

Unique107 ?
Unique (%)91.5%

Sample

1st row032-212-1739
2nd row032-724-0325
3rd row032-568-7301
4th row032-576-5358
5th row055-901-0337
ValueCountFrequency (%)
032-822-2293 3
 
2.6%
032-571-9773 3
 
2.6%
032-575-5783 2
 
1.7%
032-569-1405 2
 
1.7%
032-565-8980 1
 
0.9%
032-577-0676 1
 
0.9%
032-562-5747 1
 
0.9%
032-581-3525 1
 
0.9%
032-562-7288 1
 
0.9%
032-431-3003 1
 
0.9%
Other values (101) 101
86.3%
2023-12-12T18:38:53.539962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 234
16.6%
3 198
14.0%
0 190
13.5%
2 185
13.1%
5 149
10.6%
7 105
7.4%
8 87
 
6.2%
6 81
 
5.7%
1 63
 
4.5%
4 60
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1176
83.4%
Dash Punctuation 234
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 198
16.8%
0 190
16.2%
2 185
15.7%
5 149
12.7%
7 105
8.9%
8 87
7.4%
6 81
6.9%
1 63
 
5.4%
4 60
 
5.1%
9 58
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 234
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1410
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 234
16.6%
3 198
14.0%
0 190
13.5%
2 185
13.1%
5 149
10.6%
7 105
7.4%
8 87
 
6.2%
6 81
 
5.7%
1 63
 
4.5%
4 60
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1410
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 234
16.6%
3 198
14.0%
0 190
13.5%
2 185
13.1%
5 149
10.6%
7 105
7.4%
8 87
 
6.2%
6 81
 
5.7%
1 63
 
4.5%
4 60
 
4.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2022-09-19
121 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-09-19
2nd row2022-09-19
3rd row2022-09-19
4th row2022-09-19
5th row2022-09-19

Common Values

ValueCountFrequency (%)
2022-09-19 121
100.0%

Length

2023-12-12T18:38:53.693927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:38:53.810213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-09-19 121
100.0%

Interactions

2023-12-12T18:38:48.280955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:38:53.870456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번생산품업종명
순번1.0000.5980.105
생산품0.5981.0000.933
업종명0.1050.9331.000
2023-12-12T18:38:53.964309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번업종명
순번1.0000.000
업종명0.0001.000

Missing values

2023-12-12T18:38:48.397491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:38:48.524218image/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.
2023-12-12T18:38:48.644448image/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

순번회사명생산품업종명대표주소전화번호팩스번호데이터기준일자
01(사)한국장애인기업협회 가구사업소사무용가구기타 목재가구 제조업 외 1 종인천광역시 서구 가현산로23번길 36 (마전동)032-569-3917032-212-17392022-09-19
12(주)가공보드보링목재기타 목재가구 제조업인천광역시 서구 북항로177번길 124 (원창동) B동032-710-0858032-724-03252022-09-19
23(주)감휴먼테크욕실수납장, 기타 가구제조그 외 기타 가구 제조업인천광역시 서구 도곡로 121-4 (대곡동)032-568-7300032-568-73012022-09-19
34(주)건우체어의자소파 및 기타 내장가구 제조업인천광역시 서구 가정로77번길 31 (가좌동)032-577-5358032-576-53582022-09-19
45(주)건일기업욕실가구금속 가구 제조업 외 1 종인천광역시 서구 대곡로89번안길 24-7 (대곡동)055-283-4497055-901-03372022-09-19
56(주)광일체어사무용의자, 목재가구소파 및 기타 내장가구 제조업 외 1 종인천광역시 서구 건지로109번길 21 (석남동, 광일체어(주)) 외 1필지032-576-5361032-575-57832022-09-19
67(주)광일체어의자부속부품그 외 기타 가구 제조업 외 1 종인천광역시 서구 봉수대로300번길 14 (석남동)032-576-5361032-575-57832022-09-19
78(주)누보갤러리APT 가구(신발장, 주방씽크대 외)기타 목재가구 제조업 외 1 종인천광역시 서구 이든로 36 (오류동) 외 1필지032-569-1401032-569-14052022-09-19
89(주)대건건축가구사무용 목재가구기타 목재가구 제조업인천광역시 서구 가좌로 33, 1층 (가좌동)032-203-4207032-524-43062022-09-19
910(주)대양목재우드슬랩소파 및 기타 내장가구 제조업인천광역시 서구 건지로 45-18 (석남동)032-572-1180070-4150-52522022-09-19
순번회사명생산품업종명대표주소전화번호팩스번호데이터기준일자
111112테라철재 침대금속 가구 제조업인천광역시 서구 가현산로23번길 59, 가동, 나동 (마전동)032-569-8765032-569-87662022-09-19
112113토박이가구가구(백화점 진열대등)기타 목재가구 제조업인천광역시 서구 건지로 98-22 (가좌동)032-584-5943032-584-59442022-09-19
113114파란퍼니처서랍통, 거실장, 책상기타 목재가구 제조업인천광역시 서구 장고개로 125, 2층 204 (가좌동, 빌립보)032-777-2358032-572-23582022-09-19
114115포이닉스씽크대, 부엌가구외주방용 및 음식점용 목재가구 제조업인천광역시 서구 가재울로 112 (가좌동)032-573-1267032-573-12682022-09-19
115116풍전유통씽크대주방용 및 음식점용 목재가구 제조업인천광역시 서구 장고개로126번길 10 (가좌동)032-578-3108032-577-31072022-09-19
116117하임인스타일의자금속 가구 제조업 외 1 종인천광역시 서구 드림로209번길 53 (왕길동)02-3476-3335070-4190-33372022-09-19
117118해신체어목재의자,사무용의자소파 및 기타 내장가구 제조업 외 1 종인천광역시 서구 세자봉로100번길 19 (금곡동, 아이오스)032-564-8056032-563-44872022-09-19
118119현대목공트레이 쟁반주방용 및 음식점용 목재가구 제조업인천광역시 서구 가좌로 54, 5층 505호 주안BT센터2차 (가좌동) 5층 505호 주안BT센터2차호<NA>032-329-99432022-09-19
119120홈타임가구기타 목재가구 제조업 외 1 종인천광역시 서구 대곡로123번길 56 (대곡동) 외 2필지032-565-5545032-565-55502022-09-19
120121힘즈(HIMZ)가구, 도마기타 목재가구 제조업인천광역시 서구 건지로109번길 47, 106호(석남동, 정우아파트형공장)032-219-1739032-726-91062022-09-19