Overview

Dataset statistics

Number of variables9
Number of observations121
Missing cells64
Missing cells (%)5.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.0 KiB
Average record size in memory76.1 B

Variable types

Text5
Numeric3
Categorical1

Dataset

Description구리지역 소재 공장현황정보 제공 (회사명, 공장대표주소, 전화번호, 팩스번호, 남종업원 수, 여종업원 수, 업종명)
URLhttps://www.data.go.kr/data/15099441/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
종업원수 is highly overall correlated with 남종업원 and 1 other fieldsHigh correlation
남종업원 is highly overall correlated with 종업원수High correlation
여종업원 is highly overall correlated with 종업원수High correlation
전화번호 has 14 (11.6%) missing valuesMissing
팩스번호 has 30 (24.8%) missing valuesMissing
남종업원 has 6 (5.0%) missing valuesMissing
여종업원 has 14 (11.6%) missing valuesMissing
회사명 has unique valuesUnique
종업원수 has 2 (1.7%) zerosZeros
남종업원 has 2 (1.7%) zerosZeros
여종업원 has 13 (10.7%) zerosZeros

Reproduction

Analysis started2023-12-12 23:07:58.575634
Analysis finished2023-12-12 23:08:00.818857
Duration2.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회사명
Text

UNIQUE 

Distinct121
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-13T08:08:00.976976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length7.6859504
Min length2

Characters and Unicode

Total characters930
Distinct characters223
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

Unique121 ?
Unique (%)100.0%

Sample

1st row 주식회사 핀코퍼레이션
2nd row(주)건우인터내셔널
3rd row(주)경부금속
4th row(주)다산정보통신
5th row(주)대교건업
ValueCountFrequency (%)
주식회사 26
 
16.7%
대한쎌팜 2
 
1.3%
더챌린지 1
 
0.6%
지점 1
 
0.6%
단장 1
 
0.6%
네이텍 1
 
0.6%
제일피복공업(주 1
 
0.6%
제일금속다이케스팅 1
 
0.6%
제로랜드 1
 
0.6%
정원산업 1
 
0.6%
Other values (120) 120
76.9%
2023-12-13T08:08:01.337171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 72
 
7.7%
) 47
 
5.1%
( 47
 
5.1%
사 38
 
4.1%
36
 
3.9%
식 33
 
3.5%
회 31
 
3.3%
이 30
 
3.2%
스 25
 
2.7%
업 22
 
2.4%
Other values (213) 549
59.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 776
83.4%
Close Punctuation 47
 
5.1%
Open Punctuation 47
 
5.1%
Space Separator 36
 
3.9%
Lowercase Letter 10
 
1.1%
Uppercase Letter 9
 
1.0%
Decimal Number 3
 
0.3%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 72
 
9.3%
사 38
 
4.9%
식 33
 
4.3%
회 31
 
4.0%
이 30
 
3.9%
스 25
 
3.2%
업 22
 
2.8%
산 12
 
1.5%
에 12
 
1.5%
인 11
 
1.4%
Other values (192) 490
63.1%
Lowercase Letter
ValueCountFrequency (%)
a 2
20.0%
o 2
20.0%
m 1
10.0%
s 1
10.0%
k 1
10.0%
c 1
10.0%
n 1
10.0%
r 1
10.0%
Uppercase Letter
ValueCountFrequency (%)
R 2
22.2%
D 2
22.2%
G 1
11.1%
N 1
11.1%
E 1
11.1%
S 1
11.1%
F 1
11.1%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
1 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 776
83.4%
Common 135
 
14.5%
Latin 19
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 72
 
9.3%
사 38
 
4.9%
식 33
 
4.3%
회 31
 
4.0%
이 30
 
3.9%
스 25
 
3.2%
업 22
 
2.8%
산 12
 
1.5%
에 12
 
1.5%
인 11
 
1.4%
Other values (192) 490
63.1%
Latin
ValueCountFrequency (%)
R 2
 
10.5%
a 2
 
10.5%
o 2
 
10.5%
D 2
 
10.5%
G 1
 
5.3%
N 1
 
5.3%
E 1
 
5.3%
m 1
 
5.3%
s 1
 
5.3%
k 1
 
5.3%
Other values (5) 5
26.3%
Common
ValueCountFrequency (%)
) 47
34.8%
( 47
34.8%
36
26.7%
2 2
 
1.5%
& 2
 
1.5%
1 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 776
83.4%
ASCII 154
 
16.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 72
 
9.3%
사 38
 
4.9%
식 33
 
4.3%
회 31
 
4.0%
이 30
 
3.9%
스 25
 
3.2%
업 22
 
2.8%
산 12
 
1.5%
에 12
 
1.5%
인 11
 
1.4%
Other values (192) 490
63.1%
ASCII
ValueCountFrequency (%)
) 47
30.5%
( 47
30.5%
36
23.4%
2 2
 
1.3%
R 2
 
1.3%
a 2
 
1.3%
& 2
 
1.3%
o 2
 
1.3%
D 2
 
1.3%
G 1
 
0.6%
Other values (11) 11
 
7.1%

공장대표주소(도로명)
Text

Distinct116
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-13T08:08:01.682024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length50
Mean length30.859504
Min length20

Characters and Unicode

Total characters3734
Distinct characters163
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

Unique112 ?
Unique (%)92.6%

Sample

1st row경기도 구리시 동구릉로460번길 42-62 (사노동)
2nd row경기도 구리시 금강로 65, 1층 (갈매동)
3rd row경기도 구리시 담터길32번길 9 (갈매동)
4th row경기도 구리시 경춘로16번길 14-2 (교문동)
5th row경기도 구리시 경춘로20번길 47 (교문동, 대교빌딩)
ValueCountFrequency (%)
경기도 121
 
17.0%
구리시 121
 
17.0%
갈매동 27
 
3.8%
사노동 25
 
3.5%
교문동 22
 
3.1%
수택동 14
 
2.0%
46 12
 
1.7%
1층 10
 
1.4%
갈매순환로166번길 10
 
1.4%
2층 9
 
1.3%
Other values (222) 341
47.9%
2023-12-13T08:08:02.568175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
595
 
15.9%
동 171
 
4.6%
구 164
 
4.4%
경 135
 
3.6%
리 135
 
3.6%
( 127
 
3.4%
) 127
 
3.4%
기 126
 
3.4%
도 121
 
3.2%
시 121
 
3.2%
Other values (153) 1912
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2116
56.7%
Decimal Number 632
 
16.9%
Space Separator 595
 
15.9%
Open Punctuation 127
 
3.4%
Close Punctuation 127
 
3.4%
Other Punctuation 87
 
2.3%
Dash Punctuation 32
 
0.9%
Uppercase Letter 17
 
0.5%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 171
 
8.1%
구 164
 
7.8%
경 135
 
6.4%
리 135
 
6.4%
기 126
 
6.0%
도 121
 
5.7%
시 121
 
5.7%
로 103
 
4.9%
길 101
 
4.8%
번 83
 
3.9%
Other values (134) 856
40.5%
Decimal Number
ValueCountFrequency (%)
1 116
18.4%
2 85
13.4%
4 72
11.4%
6 72
11.4%
3 71
11.2%
5 68
10.8%
0 63
10.0%
9 40
 
6.3%
8 25
 
4.0%
7 20
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
X 7
41.2%
I 7
41.2%
B 3
17.6%
Space Separator
ValueCountFrequency (%)
595
100.0%
Open Punctuation
ValueCountFrequency (%)
( 127
100.0%
Close Punctuation
ValueCountFrequency (%)
) 127
100.0%
Other Punctuation
ValueCountFrequency (%)
, 87
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2116
56.7%
Common 1601
42.9%
Latin 17
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 171
 
8.1%
구 164
 
7.8%
경 135
 
6.4%
리 135
 
6.4%
기 126
 
6.0%
도 121
 
5.7%
시 121
 
5.7%
로 103
 
4.9%
길 101
 
4.8%
번 83
 
3.9%
Other values (134) 856
40.5%
Common
ValueCountFrequency (%)
595
37.2%
( 127
 
7.9%
) 127
 
7.9%
1 116
 
7.2%
, 87
 
5.4%
2 85
 
5.3%
4 72
 
4.5%
6 72
 
4.5%
3 71
 
4.4%
5 68
 
4.2%
Other values (6) 181
 
11.3%
Latin
ValueCountFrequency (%)
X 7
41.2%
I 7
41.2%
B 3
17.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2116
56.7%
ASCII 1618
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
595
36.8%
( 127
 
7.8%
) 127
 
7.8%
1 116
 
7.2%
, 87
 
5.4%
2 85
 
5.3%
4 72
 
4.4%
6 72
 
4.4%
3 71
 
4.4%
5 68
 
4.2%
Other values (9) 198
 
12.2%
Hangul
ValueCountFrequency (%)
동 171
 
8.1%
구 164
 
7.8%
경 135
 
6.4%
리 135
 
6.4%
기 126
 
6.0%
도 121
 
5.7%
시 121
 
5.7%
로 103
 
4.9%
길 101
 
4.8%
번 83
 
3.9%
Other values (134) 856
40.5%

전화번호
Text

MISSING 

Distinct104
Distinct (%)97.2%
Missing14
Missing (%)11.6%
Memory size1.1 KiB
2023-12-13T08:08:02.889503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12
Min length8

Characters and Unicode

Total characters1284
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique101 ?
Unique (%)94.4%

Sample

1st row031-551-2229
2nd row031-512-0966
3rd row031-572-7443
4th row031-567-4654
5th row031-0554-0194
ValueCountFrequency (%)
031-527-3824 2
 
1.9%
031-571-9444 2
 
1.9%
070-5029-3330 2
 
1.9%
02-448-8952 1
 
0.9%
031-554-0194 1
 
0.9%
070-8064-6919 1
 
0.9%
02-497-0309 1
 
0.9%
031-571-6168 1
 
0.9%
02-435-2829 1
 
0.9%
031-551-4521 1
 
0.9%
Other values (94) 94
87.9%
2023-12-13T08:08:03.326132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 212
16.5%
0 190
14.8%
5 156
12.1%
1 150
11.7%
3 139
10.8%
2 101
7.9%
7 82
 
6.4%
4 77
 
6.0%
6 71
 
5.5%
8 57
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1072
83.5%
Dash Punctuation 212
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 190
17.7%
5 156
14.6%
1 150
14.0%
3 139
13.0%
2 101
9.4%
7 82
7.6%
4 77
7.2%
6 71
 
6.6%
8 57
 
5.3%
9 49
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 212
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1284
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 212
16.5%
0 190
14.8%
5 156
12.1%
1 150
11.7%
3 139
10.8%
2 101
7.9%
7 82
 
6.4%
4 77
 
6.0%
6 71
 
5.5%
8 57
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1284
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 212
16.5%
0 190
14.8%
5 156
12.1%
1 150
11.7%
3 139
10.8%
2 101
7.9%
7 82
 
6.4%
4 77
 
6.0%
6 71
 
5.5%
8 57
 
4.4%

팩스번호
Text

MISSING 

Distinct87
Distinct (%)95.6%
Missing30
Missing (%)24.8%
Memory size1.1 KiB
2023-12-13T08:08:03.594468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.692308
Min length1

Characters and Unicode

Total characters1064
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

Unique84 ?
Unique (%)92.3%

Sample

1st row031-5532-229
2nd row031-512-0977
3rd row031-572-8464
4th row031-0554-0695
5th row031-528-2684
ValueCountFrequency (%)
2 3
 
3.3%
031-573-1818 2
 
2.2%
070-5029-3338 2
 
2.2%
031-573-9347 1
 
1.1%
031-574-1196 1
 
1.1%
02-497-0304 1
 
1.1%
031-571-6166 1
 
1.1%
031-1522-1092 1
 
1.1%
02-435-2729 1
 
1.1%
031-566-7759 1
 
1.1%
Other values (77) 77
84.6%
2023-12-13T08:08:04.032483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 176
16.5%
0 151
14.2%
1 121
11.4%
5 117
11.0%
3 115
10.8%
2 101
9.5%
7 70
 
6.6%
6 66
 
6.2%
4 58
 
5.5%
8 47
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 888
83.5%
Dash Punctuation 176
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 151
17.0%
1 121
13.6%
5 117
13.2%
3 115
13.0%
2 101
11.4%
7 70
7.9%
6 66
7.4%
4 58
 
6.5%
8 47
 
5.3%
9 42
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 176
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1064
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 176
16.5%
0 151
14.2%
1 121
11.4%
5 117
11.0%
3 115
10.8%
2 101
9.5%
7 70
 
6.6%
6 66
 
6.2%
4 58
 
5.5%
8 47
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1064
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 176
16.5%
0 151
14.2%
1 121
11.4%
5 117
11.0%
3 115
10.8%
2 101
9.5%
7 70
 
6.6%
6 66
 
6.2%
4 58
 
5.5%
8 47
 
4.4%

종업원수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct23
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.2892562
Minimum0
Maximum151
Zeros2
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T08:08:04.176290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median5
Q39
95-th percentile18
Maximum151
Range151
Interquartile range (IQR)5

Descriptive statistics

Standard deviation14.246308
Coefficient of variation (CV)1.7186474
Kurtosis85.329236
Mean8.2892562
Median Absolute Deviation (MAD)3
Skewness8.6042487
Sum1003
Variance202.9573
MonotonicityNot monotonic
2023-12-13T08:08:04.316703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
5 17
14.0%
4 15
12.4%
3 12
9.9%
8 11
9.1%
2 10
8.3%
7 8
 
6.6%
6 8
 
6.6%
10 6
 
5.0%
1 6
 
5.0%
13 4
 
3.3%
Other values (13) 24
19.8%
ValueCountFrequency (%)
0 2
 
1.7%
1 6
 
5.0%
2 10
8.3%
3 12
9.9%
4 15
12.4%
5 17
14.0%
6 8
6.6%
7 8
6.6%
8 11
9.1%
9 2
 
1.7%
ValueCountFrequency (%)
151 1
 
0.8%
35 1
 
0.8%
30 1
 
0.8%
21 1
 
0.8%
19 2
1.7%
18 3
2.5%
17 2
1.7%
15 1
 
0.8%
14 2
1.7%
13 4
3.3%

남종업원
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct17
Distinct (%)14.8%
Missing6
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean5.7565217
Minimum0
Maximum149
Zeros2
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T08:08:04.495138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median4
Q36.5
95-th percentile10.3
Maximum149
Range149
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation13.970264
Coefficient of variation (CV)2.4268585
Kurtosis99.174329
Mean5.7565217
Median Absolute Deviation (MAD)2
Skewness9.6515128
Sum662
Variance195.16827
MonotonicityNot monotonic
2023-12-13T08:08:04.596999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
2 18
14.9%
3 17
14.0%
4 17
14.0%
1 17
14.0%
5 12
9.9%
7 10
8.3%
8 7
 
5.8%
9 4
 
3.3%
6 3
 
2.5%
10 2
 
1.7%
Other values (7) 8
6.6%
(Missing) 6
 
5.0%
ValueCountFrequency (%)
0 2
 
1.7%
1 17
14.0%
2 18
14.9%
3 17
14.0%
4 17
14.0%
5 12
9.9%
6 3
 
2.5%
7 10
8.3%
8 7
 
5.8%
9 4
 
3.3%
ValueCountFrequency (%)
149 1
 
0.8%
27 1
 
0.8%
16 1
 
0.8%
15 1
 
0.8%
12 1
 
0.8%
11 1
 
0.8%
10 2
 
1.7%
9 4
 
3.3%
8 7
5.8%
7 10
8.3%

여종업원
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct15
Distinct (%)14.0%
Missing14
Missing (%)11.6%
Infinite0
Infinite (%)0.0%
Mean2.9906542
Minimum0
Maximum20
Zeros13
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T08:08:04.708762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile9.7
Maximum20
Range20
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.7049058
Coefficient of variation (CV)1.2388279
Kurtosis7.2328713
Mean2.9906542
Median Absolute Deviation (MAD)1
Skewness2.528958
Sum320
Variance13.726327
MonotonicityNot monotonic
2023-12-13T08:08:04.824281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1 37
30.6%
2 22
18.2%
0 13
 
10.7%
4 8
 
6.6%
3 6
 
5.0%
5 4
 
3.3%
6 4
 
3.3%
7 3
 
2.5%
17 2
 
1.7%
8 2
 
1.7%
Other values (5) 6
 
5.0%
(Missing) 14
 
11.6%
ValueCountFrequency (%)
0 13
 
10.7%
1 37
30.6%
2 22
18.2%
3 6
 
5.0%
4 8
 
6.6%
5 4
 
3.3%
6 4
 
3.3%
7 3
 
2.5%
8 2
 
1.7%
9 2
 
1.7%
ValueCountFrequency (%)
20 1
 
0.8%
17 2
1.7%
15 1
 
0.8%
11 1
 
0.8%
10 1
 
0.8%
9 2
1.7%
8 2
1.7%
7 3
2.5%
6 4
3.3%
5 4
3.3%

업종명
Text

Distinct99
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-13T08:08:05.138561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length26
Mean length17.297521
Min length5

Characters and Unicode

Total characters2093
Distinct characters194
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

Unique84 ?
Unique (%)69.4%

Sample

1st row기타 비알코올 음료 제조업
2nd row일반용 전기 조명장치 제조업
3rd row그 외 기타 달리 분류되지 않은 제품 제조업 외 1 종
4th row유선 통신장비 제조업
5th row구조용 금속 판제품 및 공작물 제조업
ValueCountFrequency (%)
제조업 111
 
16.2%
외 61
 
8.9%
및 59
 
8.6%
종 46
 
6.7%
기타 39
 
5.7%
1 21
 
3.1%
그 15
 
2.2%
금속 13
 
1.9%
제품 7
 
1.0%
관련제품 7
 
1.0%
Other values (176) 306
44.7%
2023-12-13T08:08:05.608280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
566
27.0%
제 147
 
7.0%
업 127
 
6.1%
조 122
 
5.8%
기 83
 
4.0%
외 64
 
3.1%
및 59
 
2.8%
종 47
 
2.2%
타 39
 
1.9%
품 37
 
1.8%
Other values (184) 802
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1452
69.4%
Space Separator 566
 
27.0%
Decimal Number 52
 
2.5%
Other Punctuation 19
 
0.9%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 147
 
10.1%
업 127
 
8.7%
조 122
 
8.4%
기 83
 
5.7%
외 64
 
4.4%
및 59
 
4.1%
종 47
 
3.2%
타 39
 
2.7%
품 37
 
2.5%
용 29
 
2.0%
Other values (172) 698
48.1%
Decimal Number
ValueCountFrequency (%)
1 28
53.8%
2 7
 
13.5%
3 5
 
9.6%
4 3
 
5.8%
6 3
 
5.8%
8 2
 
3.8%
9 2
 
3.8%
7 2
 
3.8%
Space Separator
ValueCountFrequency (%)
566
100.0%
Other Punctuation
ValueCountFrequency (%)
, 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1452
69.4%
Common 641
30.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 147
 
10.1%
업 127
 
8.7%
조 122
 
8.4%
기 83
 
5.7%
외 64
 
4.4%
및 59
 
4.1%
종 47
 
3.2%
타 39
 
2.7%
품 37
 
2.5%
용 29
 
2.0%
Other values (172) 698
48.1%
Common
ValueCountFrequency (%)
566
88.3%
1 28
 
4.4%
, 19
 
3.0%
2 7
 
1.1%
3 5
 
0.8%
4 3
 
0.5%
6 3
 
0.5%
8 2
 
0.3%
9 2
 
0.3%
7 2
 
0.3%
Other values (2) 4
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1452
69.4%
ASCII 641
30.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
566
88.3%
1 28
 
4.4%
, 19
 
3.0%
2 7
 
1.1%
3 5
 
0.8%
4 3
 
0.5%
6 3
 
0.5%
8 2
 
0.3%
9 2
 
0.3%
7 2
 
0.3%
Other values (2) 4
 
0.6%
Hangul
ValueCountFrequency (%)
제 147
 
10.1%
업 127
 
8.7%
조 122
 
8.4%
기 83
 
5.7%
외 64
 
4.4%
및 59
 
4.1%
종 47
 
3.2%
타 39
 
2.7%
품 37
 
2.5%
용 29
 
2.0%
Other values (172) 698
48.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-06-26
121 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-26
2nd row2023-06-26
3rd row2023-06-26
4th row2023-06-26
5th row2023-06-26

Common Values

ValueCountFrequency (%)
2023-06-26 121
100.0%

Length

2023-12-13T08:08:05.761723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:08:05.849218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-26 121
100.0%

Interactions

2023-12-13T08:08:00.182960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:07:59.480158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:07:59.823000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:08:00.303678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:07:59.573570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:07:59.945934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:08:00.388713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:07:59.690482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:08:00.056985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:08:05.919524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
팩스번호종업원수남종업원여종업원업종명
팩스번호1.0000.9421.0000.0000.983
종업원수0.9421.0000.7970.8300.966
남종업원1.0000.7971.0000.6440.912
여종업원0.0000.8300.6441.0000.913
업종명0.9830.9660.9120.9131.000
2023-12-13T08:08:06.017048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종업원수남종업원여종업원
종업원수1.0000.8030.580
남종업원0.8031.0000.101
여종업원0.5800.1011.000

Missing values

2023-12-13T08:08:00.502932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:08:00.631072image/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.
2023-12-13T08:08:00.741996image/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

회사명공장대표주소(도로명)전화번호팩스번호종업원수남종업원여종업원업종명데이터기준일자
0주식회사 핀코퍼레이션경기도 구리시 동구릉로460번길 42-62 (사노동)031-551-2229031-5532-229835기타 비알코올 음료 제조업2023-06-26
1(주)건우인터내셔널경기도 구리시 금강로 65, 1층 (갈매동)031-512-0966031-512-0977211일반용 전기 조명장치 제조업2023-06-26
2(주)경부금속경기도 구리시 담터길32번길 9 (갈매동)031-572-7443031-572-846418711그 외 기타 달리 분류되지 않은 제품 제조업 외 1 종2023-06-26
3(주)다산정보통신경기도 구리시 경춘로16번길 14-2 (교문동)031-567-4654<NA>422유선 통신장비 제조업2023-06-26
4(주)대교건업경기도 구리시 경춘로20번길 47 (교문동, 대교빌딩)031-0554-0194031-0554-0695871구조용 금속 판제품 및 공작물 제조업2023-06-26
5(주)대하웰시스경기도 구리시 갈매순환로166번길 46, 5층 30,31,32(구리갈매 금강펜트리움IX타워)호(갈매동)031-528-2681031-528-26841046커튼 및 유사제품 제조업 외 1 종2023-06-26
6(주)대한공조이엔지경기도 구리시 갈매길 104 (갈매동)031-571-2115031-571-12711866공기 조화장치 제조업2023-06-26
7(주)라이스클레이경기도 구리시 동구릉로459번길 29, 1층 (사노동)031-562-1286031-558-12865<NA>3떡류 제조업2023-06-26
8(주)마이티시스템경기도 구리시 이문안로 8, 3층 302호 (교문동)070-8677-8175070-4325-0012853컴퓨터시스템 통합 자문 및 구축 서비스업 외 2 종2023-06-26
9(주)모터메이트경기도 구리시 갈매순환로166번길 46, 금강펜테리움 IX타워동 5층 558~559호(갈매동)<NA>031-576-031555<NA>전기회로 접속장치 제조업2023-06-26
회사명공장대표주소(도로명)전화번호팩스번호종업원수남종업원여종업원업종명데이터기준일자
111천혜식품경기도 구리시 검배로94번길 5 (수택동, 동양할인마트)031-0552-6608031-0552-6604812그 외 기타 식료품 제조업2023-06-26
112태영블라인드경기도 구리시 동구릉로459번길 146-1(사노동, 소매점)031-565-0532031-554-0532532커튼 및 유사제품 제조업2023-06-26
113통일공업사경기도 구리시 동구릉로460번길 42-28, 가 (사노동)031-527-418402-435-2782211농업 및 임업용 기계 제조업2023-06-26
114하나산업경기도 구리시 경춘로20번길 56-5, 203호 (교문동)031-563-2223<NA>11<NA>그 외 기타 분류 안된 비금속 광물제품 제조업 외 1 종2023-06-26
115하슬라 산업경기도 구리시 아차산로413번길 9 (교문동)031-565-1221031-565-1224871그 외 기타 분류 안된 금속 가공 제품 제조업 외 1 종2023-06-26
116한국티소믈리에연구원 경기구리R&D센터경기도 구리시 갈매순환로166번길 46, 구리갈매 금강펜테리움 IX타워동 2층 34호,35호(갈매동)02-3446-767602-3446-7686202차류 가공업2023-06-26
117현대셔터 주식회사경기도 구리시 경춘로16번길 15, 2층 (교문동)031-568-8268031-568-827411<NA>금속 문, 창, 셔터 및 관련제품 제조업2023-06-26
118호남식품경기도 구리시 동구릉로215번길 15 (인창동)031-563-4332031-567-0189651떡류 제조업2023-06-26
119화이어오토도어(주)경기도 구리시 원수택로11번길 36 (수택동)02-448-8952<NA>11<NA>일반철물 제조업2023-06-26
120화인캐스코경기도 구리시 동구릉로389번길 104, 2층 (사노동) 외 1필지031-571-2145031-571-2180330배전반 및 전기 자동제어반 제조업2023-06-26