Overview

Dataset statistics

Number of variables11
Number of observations254
Missing cells28
Missing cells (%)1.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.5 KiB
Average record size in memory90.5 B

Variable types

Text7
Numeric2
DateTime1
Categorical1

Dataset

Description경기도 의정부시에 등록되어 있는 공장 현황에 대한 정보를 제공하며 회사명, 대표자명, 업종명, 대표업종번호, 생산품, 공장대표 주소, 전화번호, 팩스번호, 종업원수, 최초등록일, 데이터기준일자 등의 항목으로 구성되어 있습니다.
Author경기도 의정부시
URLhttps://www.data.go.kr/data/3084541/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 16 (6.3%) missing valuesMissing
팩스번호 has 12 (4.7%) missing valuesMissing
종업원수 has 9 (3.5%) zerosZeros

Reproduction

Analysis started2023-12-12 14:33:27.735469
Analysis finished2023-12-12 14:33:29.358407
Duration1.62 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회사명
Text

Distinct247
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T23:33:29.557897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length6.8031496
Min length2

Characters and Unicode

Total characters1728
Distinct characters296
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

Unique240 ?
Unique (%)94.5%

Sample

1st row(주)경기방재
2nd row(주)국일엔지니어링
3rd row(주)금광산업
4th row(주)금원
5th row(주)뉴빛
ValueCountFrequency (%)
주식회사 51
 
16.2%
담소리 2
 
0.6%
디에스 2
 
0.6%
레츠프레소 2
 
0.6%
청춘d 2
 
0.6%
승우텍스타일 2
 
0.6%
태진실리콘 2
 
0.6%
주)성진나이스 2
 
0.6%
에스피정보기술 2
 
0.6%
원앙섬유 1
 
0.3%
Other values (246) 246
78.3%
2023-12-12T23:33:30.159352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 145
 
8.4%
) 89
 
5.2%
( 87
 
5.0%
69
 
4.0%
이 65
 
3.8%
사 64
 
3.7%
식 58
 
3.4%
회 55
 
3.2%
스 50
 
2.9%
유 24
 
1.4%
Other values (286) 1022
59.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1464
84.7%
Close Punctuation 89
 
5.2%
Open Punctuation 87
 
5.0%
Space Separator 69
 
4.0%
Uppercase Letter 10
 
0.6%
Lowercase Letter 6
 
0.3%
Decimal Number 2
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 145
 
9.9%
이 65
 
4.4%
사 64
 
4.4%
식 58
 
4.0%
회 55
 
3.8%
스 50
 
3.4%
유 24
 
1.6%
업 23
 
1.6%
에 21
 
1.4%
진 21
 
1.4%
Other values (266) 938
64.1%
Uppercase Letter
ValueCountFrequency (%)
F 2
20.0%
D 2
20.0%
C 1
10.0%
K 1
10.0%
B 1
10.0%
J 1
10.0%
G 1
10.0%
S 1
10.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
16.7%
a 1
16.7%
t 1
16.7%
o 1
16.7%
r 1
16.7%
y 1
16.7%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
4 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 89
100.0%
Open Punctuation
ValueCountFrequency (%)
( 87
100.0%
Space Separator
ValueCountFrequency (%)
69
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1464
84.7%
Common 248
 
14.4%
Latin 16
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 145
 
9.9%
이 65
 
4.4%
사 64
 
4.4%
식 58
 
4.0%
회 55
 
3.8%
스 50
 
3.4%
유 24
 
1.6%
업 23
 
1.6%
에 21
 
1.4%
진 21
 
1.4%
Other values (266) 938
64.1%
Latin
ValueCountFrequency (%)
F 2
12.5%
D 2
12.5%
c 1
 
6.2%
C 1
 
6.2%
a 1
 
6.2%
K 1
 
6.2%
t 1
 
6.2%
o 1
 
6.2%
r 1
 
6.2%
B 1
 
6.2%
Other values (4) 4
25.0%
Common
ValueCountFrequency (%)
) 89
35.9%
( 87
35.1%
69
27.8%
2 1
 
0.4%
4 1
 
0.4%
& 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1464
84.7%
ASCII 264
 
15.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 145
 
9.9%
이 65
 
4.4%
사 64
 
4.4%
식 58
 
4.0%
회 55
 
3.8%
스 50
 
3.4%
유 24
 
1.6%
업 23
 
1.6%
에 21
 
1.4%
진 21
 
1.4%
Other values (266) 938
64.1%
ASCII
ValueCountFrequency (%)
) 89
33.7%
( 87
33.0%
69
26.1%
F 2
 
0.8%
D 2
 
0.8%
c 1
 
0.4%
2 1
 
0.4%
C 1
 
0.4%
a 1
 
0.4%
4 1
 
0.4%
Other values (10) 10
 
3.8%

대표자명
Text

Distinct239
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T23:33:30.625590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.1299213
Min length2

Characters and Unicode

Total characters795
Distinct characters149
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

Unique226 ?
Unique (%)89.0%

Sample

1st row최대현
2nd row정광현
3rd row김옥순
4th row김용환
5th row신기섭
ValueCountFrequency (%)
김동식 4
 
1.6%
이충환 2
 
0.8%
이경훈 2
 
0.8%
최기면 2
 
0.8%
김대성 2
 
0.8%
노시정 2
 
0.8%
전수표 2
 
0.8%
홍영표 2
 
0.8%
김용기 2
 
0.8%
이알찬 2
 
0.8%
Other values (232) 235
91.4%
2023-12-12T23:33:31.255700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 69
 
8.7%
이 40
 
5.0%
영 27
 
3.4%
정 24
 
3.0%
용 20
 
2.5%
박 18
 
2.3%
기 17
 
2.1%
수 15
 
1.9%
현 14
 
1.8%
윤 13
 
1.6%
Other values (139) 538
67.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 782
98.4%
Other Punctuation 7
 
0.9%
Space Separator 6
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 69
 
8.8%
이 40
 
5.1%
영 27
 
3.5%
정 24
 
3.1%
용 20
 
2.6%
박 18
 
2.3%
기 17
 
2.2%
수 15
 
1.9%
현 14
 
1.8%
윤 13
 
1.7%
Other values (137) 525
67.1%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 782
98.4%
Common 13
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 69
 
8.8%
이 40
 
5.1%
영 27
 
3.5%
정 24
 
3.1%
용 20
 
2.6%
박 18
 
2.3%
기 17
 
2.2%
수 15
 
1.9%
현 14
 
1.8%
윤 13
 
1.7%
Other values (137) 525
67.1%
Common
ValueCountFrequency (%)
, 7
53.8%
6
46.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 782
98.4%
ASCII 13
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 69
 
8.8%
이 40
 
5.1%
영 27
 
3.5%
정 24
 
3.1%
용 20
 
2.6%
박 18
 
2.3%
기 17
 
2.2%
수 15
 
1.9%
현 14
 
1.8%
윤 13
 
1.7%
Other values (137) 525
67.1%
ASCII
ValueCountFrequency (%)
, 7
53.8%
6
46.2%

업종명
Text

Distinct170
Distinct (%)66.9%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T23:33:31.647472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length23
Mean length16.818898
Min length6

Characters and Unicode

Total characters4272
Distinct characters190
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

Unique125 ?
Unique (%)49.2%

Sample

1st row방송장비 제조업 외 1 종
2nd row금속 문, 창, 셔터 및 관련제품 제조업
3rd row주형 및 금형 제조업
4th row셔츠 및 블라우스 제조업 외 2 종
5th row가방 및 기타 보호용 케이스 제조업
ValueCountFrequency (%)
제조업 228
 
16.1%
외 148
 
10.4%
및 124
 
8.7%
종 120
 
8.5%
기타 85
 
6.0%
1 41
 
2.9%
그 28
 
2.0%
스타킹 19
 
1.3%
양말 19
 
1.3%
2 18
 
1.3%
Other values (208) 588
41.5%
2023-12-12T23:33:32.158648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1164
27.2%
제 291
 
6.8%
업 271
 
6.3%
조 245
 
5.7%
기 153
 
3.6%
외 153
 
3.6%
및 124
 
2.9%
종 124
 
2.9%
타 104
 
2.4%
품 63
 
1.5%
Other values (180) 1580
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2940
68.8%
Space Separator 1164
 
27.2%
Decimal Number 137
 
3.2%
Other Punctuation 25
 
0.6%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 291
 
9.9%
업 271
 
9.2%
조 245
 
8.3%
기 153
 
5.2%
외 153
 
5.2%
및 124
 
4.2%
종 124
 
4.2%
타 104
 
3.5%
품 63
 
2.1%
용 58
 
2.0%
Other values (167) 1354
46.1%
Decimal Number
ValueCountFrequency (%)
1 55
40.1%
3 22
 
16.1%
2 22
 
16.1%
4 13
 
9.5%
5 8
 
5.8%
6 7
 
5.1%
8 6
 
4.4%
0 4
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 23
92.0%
. 2
 
8.0%
Space Separator
ValueCountFrequency (%)
1164
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2940
68.8%
Common 1332
31.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 291
 
9.9%
업 271
 
9.2%
조 245
 
8.3%
기 153
 
5.2%
외 153
 
5.2%
및 124
 
4.2%
종 124
 
4.2%
타 104
 
3.5%
품 63
 
2.1%
용 58
 
2.0%
Other values (167) 1354
46.1%
Common
ValueCountFrequency (%)
1164
87.4%
1 55
 
4.1%
, 23
 
1.7%
3 22
 
1.7%
2 22
 
1.7%
4 13
 
1.0%
5 8
 
0.6%
6 7
 
0.5%
8 6
 
0.5%
0 4
 
0.3%
Other values (3) 8
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2940
68.8%
ASCII 1332
31.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1164
87.4%
1 55
 
4.1%
, 23
 
1.7%
3 22
 
1.7%
2 22
 
1.7%
4 13
 
1.0%
5 8
 
0.6%
6 7
 
0.5%
8 6
 
0.5%
0 4
 
0.3%
Other values (3) 8
 
0.6%
Hangul
ValueCountFrequency (%)
제 291
 
9.9%
업 271
 
9.2%
조 245
 
8.3%
기 153
 
5.2%
외 153
 
5.2%
및 124
 
4.2%
종 124
 
4.2%
타 104
 
3.5%
품 63
 
2.1%
용 58
 
2.0%
Other values (167) 1354
46.1%

대표업종번호
Real number (ℝ)

Distinct103
Distinct (%)40.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21075.705
Minimum10122
Maximum33910
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-12T23:33:32.288174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10122
5-th percentile10724.05
Q114191
median20499
Q327212.5
95-th percentile33579.15
Maximum33910
Range23788
Interquartile range (IQR)13021.5

Descriptive statistics

Standard deviation7385.2033
Coefficient of variation (CV)0.35041311
Kurtosis-1.4505932
Mean21075.705
Median Absolute Deviation (MAD)6388
Skewness0.12323176
Sum5353229
Variance54541228
MonotonicityNot monotonic
2023-12-12T23:33:32.404708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14411 19
 
7.5%
14192 13
 
5.1%
33910 13
 
5.1%
14111 11
 
4.3%
26421 8
 
3.1%
13999 7
 
2.8%
13229 7
 
2.8%
15129 5
 
2.0%
10791 5
 
2.0%
28901 5
 
2.0%
Other values (93) 161
63.4%
ValueCountFrequency (%)
10122 1
0.4%
10129 2
0.8%
10211 1
0.4%
10213 1
0.4%
10219 2
0.8%
10220 1
0.4%
10402 1
0.4%
10712 2
0.8%
10713 2
0.8%
10730 1
0.4%
ValueCountFrequency (%)
33910 13
5.1%
33401 2
 
0.8%
33309 1
 
0.4%
33110 1
 
0.4%
32029 2
 
0.8%
32021 2
 
0.8%
30399 3
 
1.2%
29294 4
 
1.6%
29229 2
 
0.8%
29194 1
 
0.4%

생산품
Text

Distinct221
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T23:33:32.623017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length124
Median length25
Mean length8.7755906
Min length2

Characters and Unicode

Total characters2229
Distinct characters342
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

Unique211 ?
Unique (%)83.1%

Sample

1st row영상감시장치, CCTV
2nd row창호, 알미늄 샤시
3rd row프레스 지짐방지 용기
4th row의류, 티셔츠
5th row휴대폰 보호케이스, 악세사리
ValueCountFrequency (%)
의류 22
 
4.6%
양말 17
 
3.6%
등 15
 
3.2%
및 14
 
2.9%
광고물 7
 
1.5%
간판 7
 
1.5%
섬유 4
 
0.8%
침구 4
 
0.8%
cctv 4
 
0.8%
산업용장갑 4
 
0.8%
Other values (324) 377
79.4%
2023-12-12T23:33:32.931424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
241
 
10.8%
, 141
 
6.3%
기 84
 
3.8%
스 42
 
1.9%
자 37
 
1.7%
류 35
 
1.6%
품 35
 
1.6%
의 34
 
1.5%
용 33
 
1.5%
장 32
 
1.4%
Other values (332) 1515
68.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1759
78.9%
Space Separator 241
 
10.8%
Other Punctuation 141
 
6.3%
Uppercase Letter 46
 
2.1%
Open Punctuation 16
 
0.7%
Close Punctuation 16
 
0.7%
Decimal Number 6
 
0.3%
Lowercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 84
 
4.8%
스 42
 
2.4%
자 37
 
2.1%
류 35
 
2.0%
품 35
 
2.0%
의 34
 
1.9%
용 33
 
1.9%
장 32
 
1.8%
전 30
 
1.7%
제 27
 
1.5%
Other values (307) 1370
77.9%
Uppercase Letter
ValueCountFrequency (%)
C 11
23.9%
D 7
15.2%
L 6
13.0%
E 5
10.9%
V 5
10.9%
T 4
 
8.7%
P 3
 
6.5%
K 1
 
2.2%
M 1
 
2.2%
Y 1
 
2.2%
Other values (2) 2
 
4.3%
Decimal Number
ValueCountFrequency (%)
7 1
16.7%
6 1
16.7%
8 1
16.7%
3 1
16.7%
9 1
16.7%
4 1
16.7%
Lowercase Letter
ValueCountFrequency (%)
c 2
50.0%
v 1
25.0%
t 1
25.0%
Space Separator
ValueCountFrequency (%)
241
100.0%
Other Punctuation
ValueCountFrequency (%)
, 141
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1759
78.9%
Common 420
 
18.8%
Latin 50
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 84
 
4.8%
스 42
 
2.4%
자 37
 
2.1%
류 35
 
2.0%
품 35
 
2.0%
의 34
 
1.9%
용 33
 
1.9%
장 32
 
1.8%
전 30
 
1.7%
제 27
 
1.5%
Other values (307) 1370
77.9%
Latin
ValueCountFrequency (%)
C 11
22.0%
D 7
14.0%
L 6
12.0%
E 5
10.0%
V 5
10.0%
T 4
 
8.0%
P 3
 
6.0%
c 2
 
4.0%
K 1
 
2.0%
M 1
 
2.0%
Other values (5) 5
10.0%
Common
ValueCountFrequency (%)
241
57.4%
, 141
33.6%
( 16
 
3.8%
) 16
 
3.8%
7 1
 
0.2%
6 1
 
0.2%
8 1
 
0.2%
3 1
 
0.2%
9 1
 
0.2%
4 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1759
78.9%
ASCII 470
 
21.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
241
51.3%
, 141
30.0%
( 16
 
3.4%
) 16
 
3.4%
C 11
 
2.3%
D 7
 
1.5%
L 6
 
1.3%
E 5
 
1.1%
V 5
 
1.1%
T 4
 
0.9%
Other values (15) 18
 
3.8%
Hangul
ValueCountFrequency (%)
기 84
 
4.8%
스 42
 
2.4%
자 37
 
2.1%
류 35
 
2.0%
품 35
 
2.0%
의 34
 
1.9%
용 33
 
1.9%
장 32
 
1.8%
전 30
 
1.7%
제 27
 
1.5%
Other values (307) 1370
77.9%

공장대표주소
Text

Distinct244
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T23:33:33.133074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length46
Mean length32.23622
Min length20

Characters and Unicode

Total characters8188
Distinct characters224
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique234 ?
Unique (%)92.1%

Sample

1st row경기도 의정부시 의정로110번길 15 (가능동)
2nd row경기도 의정부시 산단로152번길 35 (용현동)
3rd row경기도 의정부시 산단로 132 (용현동)
4th row경기도 의정부시 신흥로 148, 2층 (호원동)
5th row경기도 의정부시 산단로76번길 93 (용현동)
ValueCountFrequency (%)
경기도 254
 
16.1%
의정부시 254
 
16.1%
용현동 125
 
7.9%
산단로68번길 41
 
2.6%
산단로132번길 31
 
2.0%
1층 27
 
1.7%
의정부동 26
 
1.6%
가능동 26
 
1.6%
산단로76번길 23
 
1.5%
호원동 17
 
1.1%
Other values (396) 758
47.9%
2023-12-12T23:33:33.457882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1328
 
16.2%
부 311
 
3.8%
의 306
 
3.7%
1 306
 
3.7%
정 298
 
3.6%
동 298
 
3.6%
( 291
 
3.6%
) 291
 
3.6%
경 278
 
3.4%
시 270
 
3.3%
Other values (214) 4211
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4676
57.1%
Space Separator 1328
 
16.2%
Decimal Number 1297
 
15.8%
Open Punctuation 291
 
3.6%
Close Punctuation 291
 
3.6%
Other Punctuation 242
 
3.0%
Dash Punctuation 37
 
0.5%
Uppercase Letter 21
 
0.3%
Letter Number 2
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 311
 
6.7%
의 306
 
6.5%
정 298
 
6.4%
동 298
 
6.4%
경 278
 
5.9%
시 270
 
5.8%
기 268
 
5.7%
도 257
 
5.5%
로 253
 
5.4%
길 178
 
3.8%
Other values (186) 1959
41.9%
Decimal Number
ValueCountFrequency (%)
1 306
23.6%
2 181
14.0%
3 132
10.2%
6 129
9.9%
8 113
 
8.7%
5 102
 
7.9%
4 94
 
7.2%
7 87
 
6.7%
9 78
 
6.0%
0 75
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
C 7
33.3%
B 6
28.6%
K 2
 
9.5%
G 1
 
4.8%
E 1
 
4.8%
A 1
 
4.8%
L 1
 
4.8%
F 1
 
4.8%
Y 1
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
b 1
50.0%
c 1
50.0%
Space Separator
ValueCountFrequency (%)
1328
100.0%
Open Punctuation
ValueCountFrequency (%)
( 291
100.0%
Close Punctuation
ValueCountFrequency (%)
) 291
100.0%
Other Punctuation
ValueCountFrequency (%)
, 242
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4676
57.1%
Common 3487
42.6%
Latin 25
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 311
 
6.7%
의 306
 
6.5%
정 298
 
6.4%
동 298
 
6.4%
경 278
 
5.9%
시 270
 
5.8%
기 268
 
5.7%
도 257
 
5.5%
로 253
 
5.4%
길 178
 
3.8%
Other values (186) 1959
41.9%
Common
ValueCountFrequency (%)
1328
38.1%
1 306
 
8.8%
( 291
 
8.3%
) 291
 
8.3%
, 242
 
6.9%
2 181
 
5.2%
3 132
 
3.8%
6 129
 
3.7%
8 113
 
3.2%
5 102
 
2.9%
Other values (6) 372
 
10.7%
Latin
ValueCountFrequency (%)
C 7
28.0%
B 6
24.0%
Ⅱ 2
 
8.0%
K 2
 
8.0%
G 1
 
4.0%
E 1
 
4.0%
A 1
 
4.0%
L 1
 
4.0%
F 1
 
4.0%
b 1
 
4.0%
Other values (2) 2
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4676
57.1%
ASCII 3510
42.9%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1328
37.8%
1 306
 
8.7%
( 291
 
8.3%
) 291
 
8.3%
, 242
 
6.9%
2 181
 
5.2%
3 132
 
3.8%
6 129
 
3.7%
8 113
 
3.2%
5 102
 
2.9%
Other values (17) 395
 
11.3%
Hangul
ValueCountFrequency (%)
부 311
 
6.7%
의 306
 
6.5%
정 298
 
6.4%
동 298
 
6.4%
경 278
 
5.9%
시 270
 
5.8%
기 268
 
5.7%
도 257
 
5.5%
로 253
 
5.4%
길 178
 
3.8%
Other values (186) 1959
41.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

전화번호
Text

MISSING 

Distinct228
Distinct (%)95.8%
Missing16
Missing (%)6.3%
Memory size2.1 KiB
2023-12-12T23:33:33.971401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.970588
Min length9

Characters and Unicode

Total characters2849
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique220 ?
Unique (%)92.4%

Sample

1st row031-871-1119
2nd row031-853-4367
3rd row031-851-4674
4th row031-878-2146
5th row031-850-1962
ValueCountFrequency (%)
031-852-0560 4
 
1.7%
031-821-6418 2
 
0.8%
031-852-1210 2
 
0.8%
031-852-5560 2
 
0.8%
031-852-3121 2
 
0.8%
031-851-5550 2
 
0.8%
031-853-3752 2
 
0.8%
02-3493-7574 2
 
0.8%
031-852-5726 1
 
0.4%
031-846-4242 1
 
0.4%
Other values (218) 218
91.6%
2023-12-12T23:33:34.439668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 469
16.5%
0 409
14.4%
1 367
12.9%
3 324
11.4%
8 290
10.2%
5 217
7.6%
7 196
6.9%
2 190
6.7%
4 143
 
5.0%
6 123
 
4.3%
Other values (4) 121
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2377
83.4%
Dash Punctuation 469
 
16.5%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 409
17.2%
1 367
15.4%
3 324
13.6%
8 290
12.2%
5 217
9.1%
7 196
8.2%
2 190
8.0%
4 143
 
6.0%
6 123
 
5.2%
9 118
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
R 1
33.3%
S 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 469
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2846
99.9%
Latin 3
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 469
16.5%
0 409
14.4%
1 367
12.9%
3 324
11.4%
8 290
10.2%
5 217
7.6%
7 196
6.9%
2 190
6.7%
4 143
 
5.0%
6 123
 
4.3%
Latin
ValueCountFrequency (%)
A 1
33.3%
R 1
33.3%
S 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2849
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 469
16.5%
0 409
14.4%
1 367
12.9%
3 324
11.4%
8 290
10.2%
5 217
7.6%
7 196
6.9%
2 190
6.7%
4 143
 
5.0%
6 123
 
4.3%
Other values (4) 121
 
4.2%

팩스번호
Text

MISSING 

Distinct230
Distinct (%)95.0%
Missing12
Missing (%)4.7%
Memory size2.1 KiB
2023-12-12T23:33:34.780381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.045455
Min length11

Characters and Unicode

Total characters2915
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

Unique220 ?
Unique (%)90.9%

Sample

1st row031-871-2771
2nd row031-852-7367
3rd row031-851-9455
4th row031-878-2146
5th row031-850-1929
ValueCountFrequency (%)
031-852-0580 4
 
1.7%
031-851-7244 2
 
0.8%
031-852-3752 2
 
0.8%
031-821-6470 2
 
0.8%
031-852-4890 2
 
0.8%
031-851-5565 2
 
0.8%
02-6280-0971 2
 
0.8%
031-826-0046 2
 
0.8%
031-852-1512 2
 
0.8%
031-837-8030 2
 
0.8%
Other values (220) 220
90.9%
2023-12-12T23:33:35.282099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 484
16.6%
0 392
13.4%
1 357
12.2%
3 346
11.9%
8 292
10.0%
5 226
7.8%
2 224
7.7%
7 172
 
5.9%
4 162
 
5.6%
6 137
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2431
83.4%
Dash Punctuation 484
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 392
16.1%
1 357
14.7%
3 346
14.2%
8 292
12.0%
5 226
9.3%
2 224
9.2%
7 172
7.1%
4 162
6.7%
6 137
 
5.6%
9 123
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 484
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2915
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 484
16.6%
0 392
13.4%
1 357
12.2%
3 346
11.9%
8 292
10.0%
5 226
7.8%
2 224
7.7%
7 172
 
5.9%
4 162
 
5.6%
6 137
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2915
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 484
16.6%
0 392
13.4%
1 357
12.2%
3 346
11.9%
8 292
10.0%
5 226
7.8%
2 224
7.7%
7 172
 
5.9%
4 162
 
5.6%
6 137
 
4.7%

종업원수
Real number (ℝ)

ZEROS 

Distinct47
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.23622
Minimum0
Maximum132
Zeros9
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-12T23:33:35.471626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median6
Q311.75
95-th percentile47
Maximum132
Range132
Interquartile range (IQR)8.75

Descriptive statistics

Standard deviation19.218303
Coefficient of variation (CV)1.5706078
Kurtosis14.784257
Mean12.23622
Median Absolute Deviation (MAD)4
Skewness3.5197468
Sum3108
Variance369.34319
MonotonicityNot monotonic
2023-12-12T23:33:35.663980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
3 29
 
11.4%
2 28
 
11.0%
4 23
 
9.1%
6 21
 
8.3%
1 17
 
6.7%
5 15
 
5.9%
8 13
 
5.1%
10 12
 
4.7%
7 11
 
4.3%
0 9
 
3.5%
Other values (37) 76
29.9%
ValueCountFrequency (%)
0 9
 
3.5%
1 17
6.7%
2 28
11.0%
3 29
11.4%
4 23
9.1%
5 15
5.9%
6 21
8.3%
7 11
 
4.3%
8 13
5.1%
9 7
 
2.8%
ValueCountFrequency (%)
132 1
0.4%
128 1
0.4%
106 1
0.4%
85 2
0.8%
80 1
0.4%
79 1
0.4%
70 2
0.8%
57 1
0.4%
50 1
0.4%
48 1
0.4%

최초등록일
Date

Distinct228
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum1979-06-29 00:00:00
Maximum2022-12-05 00:00:00
2023-12-12T23:33:35.848786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:33:36.025734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-01-01
254 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-01-01
2nd row2023-01-01
3rd row2023-01-01
4th row2023-01-01
5th row2023-01-01

Common Values

ValueCountFrequency (%)
2023-01-01 254
100.0%

Length

2023-12-12T23:33:36.188497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:33:36.297124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-01-01 254
100.0%

Interactions

2023-12-12T23:33:28.769989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:33:28.539152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:33:28.861130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:33:28.655012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:33:36.366529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대표업종번호종업원수
대표업종번호1.0000.177
종업원수0.1771.000
2023-12-12T23:33:36.467395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대표업종번호종업원수
대표업종번호1.000-0.101
종업원수-0.1011.000

Missing values

2023-12-12T23:33:29.019709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:33:29.181553image/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.
2023-12-12T23:33:29.307386image/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

회사명대표자명업종명대표업종번호생산품공장대표주소전화번호팩스번호종업원수최초등록일데이터기준일자
0(주)경기방재최대현방송장비 제조업 외 1 종26421영상감시장치, CCTV경기도 의정부시 의정로110번길 15 (가능동)031-871-1119031-871-277142014-09-242023-01-01
1(주)국일엔지니어링정광현금속 문, 창, 셔터 및 관련제품 제조업25111창호, 알미늄 샤시경기도 의정부시 산단로152번길 35 (용현동)031-853-4367031-852-736762014-04-292023-01-01
2(주)금광산업김옥순주형 및 금형 제조업29294프레스 지짐방지 용기경기도 의정부시 산단로 132 (용현동)031-851-4674031-851-945552005-05-312023-01-01
3(주)금원김용환셔츠 및 블라우스 제조업 외 2 종14191의류, 티셔츠경기도 의정부시 신흥로 148, 2층 (호원동)031-878-2146031-878-214662014-04-232023-01-01
4(주)뉴빛신기섭가방 및 기타 보호용 케이스 제조업15129휴대폰 보호케이스, 악세사리경기도 의정부시 산단로76번길 93 (용현동)031-850-1962031-850-1929202018-03-202023-01-01
5(주)다음나노텍김윤용그 외 기타 전기장비 제조업 외 1 종28909환경개선장지, 전자기기경기도 의정부시 서부로 545, 경민벤처센터 801호, 802호 (가능동)031-541-0583031-851-516732020-04-082023-01-01
6(주)대경바스컴한승민방송장비 제조업 외 10 종26421방송 음향기기 및 전동 컨트롤러경기도 의정부시 산단로 82 (용현동, (주)대경바스컴)031-853-9690031-853-9694332006-06-152023-01-01
7(주)대신파워김경섭전기경보 및 신호장치 제조업 외 2 종28901누전경보기경기도 의정부시 경의로 30, 3층 (의정부동)031-871-2715031-876-271482012-02-162023-01-01
8(주)대한건업정용식구조용 금속 판제품 및 공작물 제조업25112경량철골자재 및 칸막이경기도 의정부시 송산로871번길 41 (산곡동)031-572-2008031-572-300862016-04-152023-01-01
9(주)돈가우리김명호육류 기타 가공 및 저장처리업 (가금류 제외) 외 1 종10129육류경기도 의정부시 호국로1346번길 125, 104호 (의정부동, 시민아파트)031-847-8809031-846-872742013-05-142023-01-01
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