Overview

Dataset statistics

Number of variables9
Number of observations85
Missing cells3
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.2 KiB
Average record size in memory74.6 B

Variable types

Numeric1
Text7
Categorical1

Dataset

Description남동구 100인이상 기업체 현황으로 순번,회사명,공장대표주소(도로명),전화번호,팩스번호,생산품,업종번호,업종명,데이터기준일 등 데이터를 제공합니다.
Author인천광역시 남동구
URLhttps://www.data.go.kr/data/15087360/fileData.do

Alerts

데이터기준일 has constant value ""Constant
전화번호 has 1 (1.2%) missing valuesMissing
팩스번호 has 2 (2.4%) missing valuesMissing
순번 has unique valuesUnique
공장대표주소(도로명) has unique valuesUnique

Reproduction

Analysis started2024-03-23 04:36:14.829202
Analysis finished2024-03-23 04:36:24.597818
Duration9.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct85
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43
Minimum1
Maximum85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2024-03-23T04:36:24.915737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.2
Q122
median43
Q364
95-th percentile80.8
Maximum85
Range84
Interquartile range (IQR)42

Descriptive statistics

Standard deviation24.681302
Coefficient of variation (CV)0.57398377
Kurtosis-1.2
Mean43
Median Absolute Deviation (MAD)21
Skewness0
Sum3655
Variance609.16667
MonotonicityStrictly increasing
2024-03-23T04:36:25.488964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
55 1
 
1.2%
63 1
 
1.2%
62 1
 
1.2%
61 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
56 1
 
1.2%
Other values (75) 75
88.2%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
85 1
1.2%
84 1
1.2%
83 1
1.2%
82 1
1.2%
81 1
1.2%
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%
76 1
1.2%

회사명
Text

Distinct81
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size812.0 B
2024-03-23T04:36:26.378084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length8.1294118
Min length5

Characters and Unicode

Total characters691
Distinct characters149
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

Unique78 ?
Unique (%)91.8%

Sample

1st row(주)태시
2nd row기신정기(주)
3rd row(주)예림키친
4th row신한다이아몬드공업(주)
5th row(주)디딤이앤에프
ValueCountFrequency (%)
주)오공 3
 
3.3%
주식회사 3
 
3.3%
기신정기(주 2
 
2.2%
신한다이아몬드공업(주 2
 
2.2%
제2공장 2
 
2.2%
주)상아프론테크 1
 
1.1%
주)에이엔피크리비즈 1
 
1.1%
주)비에스이 1
 
1.1%
극동가스케트공업(주 1
 
1.1%
주)예림 1
 
1.1%
Other values (75) 75
81.5%
2024-03-23T04:36:27.942774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 84
 
12.2%
( 83
 
12.0%
) 83
 
12.0%
이 22
 
3.2%
스 19
 
2.7%
공 18
 
2.6%
아 14
 
2.0%
에 13
 
1.9%
업 12
 
1.7%
지 8
 
1.2%
Other values (139) 335
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 506
73.2%
Open Punctuation 83
 
12.0%
Close Punctuation 83
 
12.0%
Uppercase Letter 8
 
1.2%
Space Separator 7
 
1.0%
Decimal Number 3
 
0.4%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 84
 
16.6%
이 22
 
4.3%
스 19
 
3.8%
공 18
 
3.6%
아 14
 
2.8%
에 13
 
2.6%
업 12
 
2.4%
지 8
 
1.6%
크 8
 
1.6%
제 7
 
1.4%
Other values (126) 301
59.5%
Uppercase Letter
ValueCountFrequency (%)
J 1
12.5%
X 1
12.5%
E 1
12.5%
L 1
12.5%
I 1
12.5%
H 1
12.5%
M 1
12.5%
P 1
12.5%
Open Punctuation
ValueCountFrequency (%)
( 83
100.0%
Close Punctuation
ValueCountFrequency (%)
) 83
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Decimal Number
ValueCountFrequency (%)
2 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 506
73.2%
Common 177
 
25.6%
Latin 8
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 84
 
16.6%
이 22
 
4.3%
스 19
 
3.8%
공 18
 
3.6%
아 14
 
2.8%
에 13
 
2.6%
업 12
 
2.4%
지 8
 
1.6%
크 8
 
1.6%
제 7
 
1.4%
Other values (126) 301
59.5%
Latin
ValueCountFrequency (%)
J 1
12.5%
X 1
12.5%
E 1
12.5%
L 1
12.5%
I 1
12.5%
H 1
12.5%
M 1
12.5%
P 1
12.5%
Common
ValueCountFrequency (%)
( 83
46.9%
) 83
46.9%
7
 
4.0%
2 3
 
1.7%
- 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 506
73.2%
ASCII 185
 
26.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 84
 
16.6%
이 22
 
4.3%
스 19
 
3.8%
공 18
 
3.6%
아 14
 
2.8%
에 13
 
2.6%
업 12
 
2.4%
지 8
 
1.6%
크 8
 
1.6%
제 7
 
1.4%
Other values (126) 301
59.5%
ASCII
ValueCountFrequency (%)
( 83
44.9%
) 83
44.9%
7
 
3.8%
2 3
 
1.6%
J 1
 
0.5%
X 1
 
0.5%
E 1
 
0.5%
L 1
 
0.5%
- 1
 
0.5%
I 1
 
0.5%
Other values (3) 3
 
1.6%

공장대표주소(도로명)
Text

UNIQUE 

Distinct85
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size812.0 B
2024-03-23T04:36:28.877481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length47
Mean length36.670588
Min length23

Characters and Unicode

Total characters3117
Distinct characters84
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

Unique85 ?
Unique (%)100.0%

Sample

1st row인천광역시 남동구 남동대로49번길 42 (고잔동) 한신 E.L 4층
2nd row인천광역시 남동구 남동대로 175, 86블럭 2로트 (고잔동)
3rd row인천광역시 남동구 논현고잔로135번길 29(고잔동, (주)예림임업)
4th row인천광역시 남동구 남촌동 610-6번지 36블럭 7로트
5th row인천광역시 남동구 논현로46번길 39-24, 1동 1~4층 (403호,404호제외)호(논현동) 1동 1~4층 (403호,404호제외)호
ValueCountFrequency (%)
인천광역시 85
 
14.5%
남동구 85
 
14.5%
고잔동 50
 
8.5%
남촌동 16
 
2.7%
남동대로 11
 
1.9%
논현동 11
 
1.9%
외 10
 
1.7%
남동서로 9
 
1.5%
5로트 7
 
1.2%
2로트 6
 
1.0%
Other values (217) 298
50.7%
2024-03-23T04:36:30.740913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
503
 
16.1%
동 226
 
7.3%
로 148
 
4.7%
남 145
 
4.7%
1 129
 
4.1%
( 97
 
3.1%
) 97
 
3.1%
구 89
 
2.9%
천 86
 
2.8%
인 85
 
2.7%
Other values (74) 1512
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1690
54.2%
Decimal Number 621
 
19.9%
Space Separator 503
 
16.1%
Open Punctuation 98
 
3.1%
Close Punctuation 98
 
3.1%
Other Punctuation 83
 
2.7%
Dash Punctuation 13
 
0.4%
Uppercase Letter 9
 
0.3%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 226
 
13.4%
로 148
 
8.8%
남 145
 
8.6%
구 89
 
5.3%
천 86
 
5.1%
인 85
 
5.0%
광 85
 
5.0%
역 85
 
5.0%
시 85
 
5.0%
고 66
 
3.9%
Other values (51) 590
34.9%
Decimal Number
ValueCountFrequency (%)
1 129
20.8%
3 77
12.4%
2 67
10.8%
4 64
10.3%
5 63
10.1%
7 56
9.0%
6 55
8.9%
9 45
 
7.2%
0 34
 
5.5%
8 31
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
33.3%
L 3
33.3%
E 2
22.2%
S 1
 
11.1%
Open Punctuation
ValueCountFrequency (%)
( 97
99.0%
[ 1
 
1.0%
Close Punctuation
ValueCountFrequency (%)
) 97
99.0%
] 1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 80
96.4%
. 3
 
3.6%
Space Separator
ValueCountFrequency (%)
503
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1690
54.2%
Common 1418
45.5%
Latin 9
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 226
 
13.4%
로 148
 
8.8%
남 145
 
8.6%
구 89
 
5.3%
천 86
 
5.1%
인 85
 
5.0%
광 85
 
5.0%
역 85
 
5.0%
시 85
 
5.0%
고 66
 
3.9%
Other values (51) 590
34.9%
Common
ValueCountFrequency (%)
503
35.5%
1 129
 
9.1%
( 97
 
6.8%
) 97
 
6.8%
, 80
 
5.6%
3 77
 
5.4%
2 67
 
4.7%
4 64
 
4.5%
5 63
 
4.4%
7 56
 
3.9%
Other values (9) 185
 
13.0%
Latin
ValueCountFrequency (%)
B 3
33.3%
L 3
33.3%
E 2
22.2%
S 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1690
54.2%
ASCII 1427
45.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
503
35.2%
1 129
 
9.0%
( 97
 
6.8%
) 97
 
6.8%
, 80
 
5.6%
3 77
 
5.4%
2 67
 
4.7%
4 64
 
4.5%
5 63
 
4.4%
7 56
 
3.9%
Other values (13) 194
 
13.6%
Hangul
ValueCountFrequency (%)
동 226
 
13.4%
로 148
 
8.8%
남 145
 
8.6%
구 89
 
5.3%
천 86
 
5.1%
인 85
 
5.0%
광 85
 
5.0%
역 85
 
5.0%
시 85
 
5.0%
고 66
 
3.9%
Other values (51) 590
34.9%

전화번호
Text

MISSING 

Distinct80
Distinct (%)95.2%
Missing1
Missing (%)1.2%
Memory size812.0 B
2024-03-23T04:36:31.630670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.988095
Min length11

Characters and Unicode

Total characters1007
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

Unique77 ?
Unique (%)91.7%

Sample

1st row032-817-5941
2nd row032-585-2150
3rd row032-814-2211
4th row032-819-6870
5th row032-819-5111
ValueCountFrequency (%)
032-585-2150 3
 
3.6%
032-817-5941 2
 
2.4%
032-821-8277 2
 
2.4%
032-820-7951 1
 
1.2%
032-458-1907 1
 
1.2%
032-500-1737 1
 
1.2%
032-812-3451 1
 
1.2%
032-837-8042 1
 
1.2%
032-817-7541 1
 
1.2%
032-451-7703 1
 
1.2%
Other values (70) 70
83.3%
2024-03-23T04:36:33.008504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 168
16.7%
0 153
15.2%
2 140
13.9%
1 131
13.0%
3 118
11.7%
8 104
10.3%
5 54
 
5.4%
7 45
 
4.5%
4 33
 
3.3%
6 32
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 839
83.3%
Dash Punctuation 168
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 153
18.2%
2 140
16.7%
1 131
15.6%
3 118
14.1%
8 104
12.4%
5 54
 
6.4%
7 45
 
5.4%
4 33
 
3.9%
6 32
 
3.8%
9 29
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 168
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1007
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 168
16.7%
0 153
15.2%
2 140
13.9%
1 131
13.0%
3 118
11.7%
8 104
10.3%
5 54
 
5.4%
7 45
 
4.5%
4 33
 
3.3%
6 32
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1007
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 168
16.7%
0 153
15.2%
2 140
13.9%
1 131
13.0%
3 118
11.7%
8 104
10.3%
5 54
 
5.4%
7 45
 
4.5%
4 33
 
3.3%
6 32
 
3.2%

팩스번호
Text

MISSING 

Distinct79
Distinct (%)95.2%
Missing2
Missing (%)2.4%
Memory size812.0 B
2024-03-23T04:36:33.835507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.987952
Min length11

Characters and Unicode

Total characters995
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

Unique76 ?
Unique (%)91.6%

Sample

1st row032-815-0230
2nd row032-574-0388
3rd row032-814-1194
4th row032-815-6870
5th row032-819-5222
ValueCountFrequency (%)
032-574-0388 3
 
3.6%
032-814-1194 2
 
2.4%
032-812-5061 2
 
2.4%
032-812-6076 1
 
1.2%
032-814-6067 1
 
1.2%
032-554-6205 1
 
1.2%
032-812-3352 1
 
1.2%
032-837-8180 1
 
1.2%
032-817-5682 1
 
1.2%
032-822-1867 1
 
1.2%
Other values (69) 69
83.1%
2024-03-23T04:36:35.286983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 166
16.7%
2 135
13.6%
0 133
13.4%
3 113
11.4%
1 113
11.4%
8 111
11.2%
7 55
 
5.5%
5 52
 
5.2%
6 47
 
4.7%
9 36
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 829
83.3%
Dash Punctuation 166
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 135
16.3%
0 133
16.0%
3 113
13.6%
1 113
13.6%
8 111
13.4%
7 55
6.6%
5 52
 
6.3%
6 47
 
5.7%
9 36
 
4.3%
4 34
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 166
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 995
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 166
16.7%
2 135
13.6%
0 133
13.4%
3 113
11.4%
1 113
11.4%
8 111
11.2%
7 55
 
5.5%
5 52
 
5.2%
6 47
 
4.7%
9 36
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 995
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 166
16.7%
2 135
13.6%
0 133
13.4%
3 113
11.4%
1 113
11.4%
8 111
11.2%
7 55
 
5.5%
5 52
 
5.2%
6 47
 
4.7%
9 36
 
3.6%

업종번호
Text

Distinct70
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Memory size812.0 B
2024-03-23T04:36:35.951546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length47
Mean length14.105882
Min length5

Characters and Unicode

Total characters1199
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

Unique60 ?
Unique (%)70.6%

Sample

1st row13229
2nd row29294
3rd row16221+22223+32021
4th row25934
5th row10129+10122+10742
ValueCountFrequency (%)
25934 4
 
4.7%
29294 4
 
4.7%
20493 3
 
3.5%
13229 2
 
2.4%
29171+29172+29173+29250 2
 
2.4%
26221+26222+26223 2
 
2.4%
26299+26295 2
 
2.4%
30331+30400 2
 
2.4%
30320+30400 2
 
2.4%
20423 2
 
2.4%
Other values (60) 60
70.6%
2024-03-23T04:36:37.002558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 351
29.3%
1 153
12.8%
9 152
12.7%
+ 129
 
10.8%
0 119
 
9.9%
3 105
 
8.8%
4 66
 
5.5%
5 45
 
3.8%
6 44
 
3.7%
7 21
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1070
89.2%
Math Symbol 129
 
10.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 351
32.8%
1 153
14.3%
9 152
14.2%
0 119
 
11.1%
3 105
 
9.8%
4 66
 
6.2%
5 45
 
4.2%
6 44
 
4.1%
7 21
 
2.0%
8 14
 
1.3%
Math Symbol
ValueCountFrequency (%)
+ 129
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1199
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 351
29.3%
1 153
12.8%
9 152
12.7%
+ 129
 
10.8%
0 119
 
9.9%
3 105
 
8.8%
4 66
 
5.5%
5 45
 
3.8%
6 44
 
3.7%
7 21
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1199
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 351
29.3%
1 153
12.8%
9 152
12.7%
+ 129
 
10.8%
0 119
 
9.9%
3 105
 
8.8%
4 66
 
5.5%
5 45
 
3.8%
6 44
 
3.7%
7 21
 
1.8%

업종명
Text

Distinct67
Distinct (%)78.8%
Missing0
Missing (%)0.0%
Memory size812.0 B
2024-03-23T04:36:37.904608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length23
Mean length18.482353
Min length7

Characters and Unicode

Total characters1571
Distinct characters141
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

Unique55 ?
Unique (%)64.7%

Sample

1st row기타 직물제품 제조업
2nd row주형 및 금형 제조업
3rd row목재문 및 관련제품 제조업 외 2 종
4th row톱 및 호환성 공구 제조업
5th row육류 기타 가공 및 저장처리업 (가금류 제외) 외 2 종
ValueCountFrequency (%)
제조업 76
 
14.4%
외 67
 
12.7%
종 57
 
10.8%
및 30
 
5.7%
1 24
 
4.5%
기타 22
 
4.2%
2 15
 
2.8%
신품 11
 
2.1%
3 10
 
1.9%
그 10
 
1.9%
Other values (99) 207
39.1%
2024-03-23T04:36:38.999657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
444
28.3%
제 101
 
6.4%
업 87
 
5.5%
조 83
 
5.3%
외 69
 
4.4%
종 57
 
3.6%
기 48
 
3.1%
품 43
 
2.7%
용 30
 
1.9%
및 30
 
1.9%
Other values (131) 579
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1063
67.7%
Space Separator 444
28.3%
Decimal Number 58
 
3.7%
Other Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 101
 
9.5%
업 87
 
8.2%
조 83
 
7.8%
외 69
 
6.5%
종 57
 
5.4%
기 48
 
4.5%
품 43
 
4.0%
용 30
 
2.8%
및 30
 
2.8%
타 22
 
2.1%
Other values (119) 493
46.4%
Decimal Number
ValueCountFrequency (%)
1 25
43.1%
2 15
25.9%
3 10
 
17.2%
6 2
 
3.4%
4 2
 
3.4%
5 2
 
3.4%
8 1
 
1.7%
7 1
 
1.7%
Space Separator
ValueCountFrequency (%)
444
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1063
67.7%
Common 508
32.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 101
 
9.5%
업 87
 
8.2%
조 83
 
7.8%
외 69
 
6.5%
종 57
 
5.4%
기 48
 
4.5%
품 43
 
4.0%
용 30
 
2.8%
및 30
 
2.8%
타 22
 
2.1%
Other values (119) 493
46.4%
Common
ValueCountFrequency (%)
444
87.4%
1 25
 
4.9%
2 15
 
3.0%
3 10
 
2.0%
6 2
 
0.4%
4 2
 
0.4%
, 2
 
0.4%
( 2
 
0.4%
) 2
 
0.4%
5 2
 
0.4%
Other values (2) 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1063
67.7%
ASCII 508
32.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
444
87.4%
1 25
 
4.9%
2 15
 
3.0%
3 10
 
2.0%
6 2
 
0.4%
4 2
 
0.4%
, 2
 
0.4%
( 2
 
0.4%
) 2
 
0.4%
5 2
 
0.4%
Other values (2) 2
 
0.4%
Hangul
ValueCountFrequency (%)
제 101
 
9.5%
업 87
 
8.2%
조 83
 
7.8%
외 69
 
6.5%
종 57
 
5.4%
기 48
 
4.5%
품 43
 
4.0%
용 30
 
2.8%
및 30
 
2.8%
타 22
 
2.1%
Other values (119) 493
46.4%

생산품
Text

Distinct81
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size812.0 B
2024-03-23T04:36:39.564380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length23
Mean length11.964706
Min length2

Characters and Unicode

Total characters1017
Distinct characters239
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

Unique77 ?
Unique (%)90.6%

Sample

1st row마스크
2nd rowMOLD BASE+CORE PLATE
3rd row나무 문
4th rowDiamomd Saw Blade+Metal Resin .Vitri Rotory/Dresser
5th row양념육+포장육+소스류
ValueCountFrequency (%)
및 9
 
4.9%
부품 7
 
3.8%
외 5
 
2.7%
자동차 3
 
1.6%
등 3
 
1.6%
인쇄회로기판 3
 
1.6%
접착제 3
 
1.6%
산업용 3
 
1.6%
자동차용 2
 
1.1%
금형 2
 
1.1%
Other values (133) 142
78.0%
2024-03-23T04:36:40.584085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
100
 
9.8%
+ 40
 
3.9%
품 27
 
2.7%
기 26
 
2.6%
스 20
 
2.0%
자 17
 
1.7%
부 17
 
1.7%
e 16
 
1.6%
장 16
 
1.6%
E 15
 
1.5%
Other values (229) 723
71.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 602
59.2%
Uppercase Letter 143
 
14.1%
Lowercase Letter 103
 
10.1%
Space Separator 100
 
9.8%
Math Symbol 40
 
3.9%
Other Punctuation 12
 
1.2%
Open Punctuation 7
 
0.7%
Close Punctuation 7
 
0.7%
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%
자 17
 
2.8%
부 17
 
2.8%
장 16
 
2.7%
용 14
 
2.3%
차 13
 
2.2%
동 12
 
2.0%
제 10
 
1.7%
Other values (178) 430
71.4%
Uppercase Letter
ValueCountFrequency (%)
E 15
 
10.5%
S 12
 
8.4%
P 11
 
7.7%
D 10
 
7.0%
R 10
 
7.0%
A 9
 
6.3%
T 8
 
5.6%
L 8
 
5.6%
O 8
 
5.6%
M 8
 
5.6%
Other values (11) 44
30.8%
Lowercase Letter
ValueCountFrequency (%)
e 16
15.5%
a 12
11.7%
r 11
10.7%
i 10
9.7%
o 8
7.8%
s 7
6.8%
t 7
6.8%
l 6
 
5.8%
m 5
 
4.9%
d 4
 
3.9%
Other values (9) 17
16.5%
Other Punctuation
ValueCountFrequency (%)
. 6
50.0%
& 3
25.0%
/ 2
 
16.7%
' 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
9 1
33.3%
4 1
33.3%
1 1
33.3%
Space Separator
ValueCountFrequency (%)
100
100.0%
Math Symbol
ValueCountFrequency (%)
+ 40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 602
59.2%
Latin 246
24.2%
Common 169
 
16.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 27
 
4.5%
기 26
 
4.3%
스 20
 
3.3%
자 17
 
2.8%
부 17
 
2.8%
장 16
 
2.7%
용 14
 
2.3%
차 13
 
2.2%
동 12
 
2.0%
제 10
 
1.7%
Other values (178) 430
71.4%
Latin
ValueCountFrequency (%)
e 16
 
6.5%
E 15
 
6.1%
S 12
 
4.9%
a 12
 
4.9%
P 11
 
4.5%
r 11
 
4.5%
D 10
 
4.1%
i 10
 
4.1%
R 10
 
4.1%
A 9
 
3.7%
Other values (30) 130
52.8%
Common
ValueCountFrequency (%)
100
59.2%
+ 40
 
23.7%
( 7
 
4.1%
) 7
 
4.1%
. 6
 
3.6%
& 3
 
1.8%
/ 2
 
1.2%
9 1
 
0.6%
4 1
 
0.6%
1 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 602
59.2%
ASCII 415
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
100
24.1%
+ 40
 
9.6%
e 16
 
3.9%
E 15
 
3.6%
S 12
 
2.9%
a 12
 
2.9%
P 11
 
2.7%
r 11
 
2.7%
D 10
 
2.4%
i 10
 
2.4%
Other values (41) 178
42.9%
Hangul
ValueCountFrequency (%)
품 27
 
4.5%
기 26
 
4.3%
스 20
 
3.3%
자 17
 
2.8%
부 17
 
2.8%
장 16
 
2.7%
용 14
 
2.3%
차 13
 
2.2%
동 12
 
2.0%
제 10
 
1.7%
Other values (178) 430
71.4%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size812.0 B
2024-02-20
85 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-20
2nd row2024-02-20
3rd row2024-02-20
4th row2024-02-20
5th row2024-02-20

Common Values

ValueCountFrequency (%)
2024-02-20 85
100.0%

Length

2024-03-23T04:36:41.047688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T04:36:41.377487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-02-20 85
100.0%

Interactions

2024-03-23T04:36:22.934245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T04:36:41.629488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번회사명공장대표주소(도로명)전화번호팩스번호업종번호업종명생산품
순번1.0000.7471.0000.7360.7400.7810.6960.719
회사명0.7471.0001.0000.9970.9991.0001.0000.999
공장대표주소(도로명)1.0001.0001.0001.0001.0001.0001.0001.000
전화번호0.7360.9971.0001.0000.9990.9840.9950.981
팩스번호0.7400.9991.0000.9991.0000.9960.9990.998
업종번호0.7811.0001.0000.9840.9961.0001.0000.999
업종명0.6961.0001.0000.9950.9991.0001.0000.999
생산품0.7190.9991.0000.9810.9980.9990.9991.000

Missing values

2024-03-23T04:36:23.340567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T04:36:23.958052image/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.
2024-03-23T04:36:24.404004image/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)전화번호팩스번호업종번호업종명생산품데이터기준일
01(주)태시인천광역시 남동구 남동대로49번길 42 (고잔동) 한신 E.L 4층<NA><NA>13229기타 직물제품 제조업마스크2024-02-20
12기신정기(주)인천광역시 남동구 남동대로 175, 86블럭 2로트 (고잔동)032-817-5941032-815-023029294주형 및 금형 제조업MOLD BASE+CORE PLATE2024-02-20
23(주)예림키친인천광역시 남동구 논현고잔로135번길 29(고잔동, (주)예림임업)032-585-2150032-574-038816221+22223+32021목재문 및 관련제품 제조업 외 2 종나무 문2024-02-20
34신한다이아몬드공업(주)인천광역시 남동구 남촌동 610-6번지 36블럭 7로트032-814-2211032-814-119425934톱 및 호환성 공구 제조업Diamomd Saw Blade+Metal Resin .Vitri Rotory/Dresser2024-02-20
45(주)디딤이앤에프인천광역시 남동구 논현로46번길 39-24, 1동 1~4층 (403호,404호제외)호(논현동) 1동 1~4층 (403호,404호제외)호032-819-6870032-815-687010129+10122+10742육류 기타 가공 및 저장처리업 (가금류 제외) 외 2 종양념육+포장육+소스류2024-02-20
56(주)에이치아이글로넷인천광역시 남동구 남동서로 268, 21블럭 1로트(논현동)032-819-5111032-819-522213229기타 직물제품 제조업KF94마스크2024-02-20
67(주)송현테크인천광역시 남동구 은봉로105번길 40, 48블럭 1로트 (논현동)032-822-9303032-813-905725923도장 및 기타 피막처리업도장 및 피막처리(핸드폰 부품)2024-02-20
78(주)화인인더스트리인천광역시 남동구 청능대로 405, 77블럭 3로트 (고잔동)032-816-0231032-816-023822212+22213플라스틱 필름 제조업 외 1 종P.V.C FILM SHEET2024-02-20
89삼일산업(주)인천광역시 남동구 남동대로 310, 44블록 12로트 (논현동) (총 3 필지) 외 2필지032-819-9671032-819-969327211레이더, 항행용 무선기기 및 측량기구 제조업Level Gauge외2024-02-20
910주식회사 크레아아이엔인천광역시 남동구 앵고개로490번길 133, 1층 (고잔동)032-813-8200032-813-816622241+22249+28519+29294운송장비 조립용 플라스틱제품 제조업 외 3 종자동차 전자 프라스틱 부품2024-02-20
순번회사명공장대표주소(도로명)전화번호팩스번호업종번호업종명생산품데이터기준일
7576한국단자공업(주)인천광역시 남동구 은봉로 123, 49블럭 3로트 (논현동)032-814-9981032-814-886026299+26295그 외 기타 전자부품 제조업 외 1 종Terminai+Housng+P.G2024-02-20
7677기신정기(주)인천광역시 남동구 은봉로 111, 49블럭 1로트 (논현동)032-817-5941032-814-718829294주형 및 금형 제조업몰드베이스+호아플레이트2024-02-20
7778(주)대동시스템인천광역시 남동구 남동대로 419, 3블럭 3로트 (남촌동)032-813-8171032-813-763730331+30400자동차용 신품 동력전달장치 제조업 외 1 종자동차 부품2024-02-20
7879(주)에몬스가구인천광역시 남동구 논현고잔로 47, 169블록 6,7로트(2필지) (고잔동)032-816-2233032-816-223932029+32021기타 목재가구 제조업 외 1 종목재가구2024-02-20
7980세일전자(주)인천광역시 남동구 남동동로 281, 47블럭 9로트 (논현동)032-816-5511032-816-551626221+25922+26222+26223인쇄회로기판용 적층판 제조업 외 3 종인쇄회로기판+전자부품도금2024-02-20
8081(주)에스피지인천광역시 남동구 청능대로289번길 45, 67블럭 4로트 (고잔동) 외 1필지032-820-8200032-812-480628111+26421+29142전동기 및 발전기 제조업 외 2 종소형정밀 기어모터2024-02-20
8182한국교세라정공(주)인천광역시 남동구 남동대로215번길 11, 69블럭 2로트 (고잔동)032-821-8430032-575-571725934톱 및 호환성 공구 제조업호환성 공구2024-02-20
8283(주)창성인천광역시 남동구 승기천로 320, 11블록8,9로트 (남촌동) 외 1필지032-450-8724032-812-877924290+26294+28902기타 1차 비철금속 제조업 외 2 종분말+페이스트+코일2024-02-20
8384(주)아모텍인천광역시 남동구 남동서로 380, 5블럭 1로트 (남촌동)032-821-0363032-811-028326299+26295그 외 기타 전자부품 제조업 외 1 종바리스터2024-02-20
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