Overview

Dataset statistics

Number of variables8
Number of observations33
Missing cells25
Missing cells (%)9.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory68.9 B

Variable types

Text6
Numeric1
Categorical1

Dataset

Description하남시 제조업관련 공장현황을 csv파일로 개방합니다.회사명, 공장대표주소, 홈페이지, 대표업종번호, 업종명 등의 정보를 제공합니다.이외에도 국토교통부 건설사업정보시스템 또는 경기데이터드림에서 업종별 사업체 현황을 조회 및 참고할 수 있습니다.
Author경기도 하남시
URLhttps://www.data.go.kr/data/15126655/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
홈페이지 주소 has 21 (63.6%) missing valuesMissing
전화번호 has 1 (3.0%) missing valuesMissing
팩스번호 has 3 (9.1%) missing valuesMissing
공장대표주소(도로명) has unique valuesUnique

Reproduction

Analysis started2024-03-14 08:53:23.745383
Analysis finished2024-03-14 08:53:25.563047
Duration1.82 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회사명
Text

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size392.0 B
2024-03-14T17:53:26.221723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length10
Mean length7.3939394
Min length2

Characters and Unicode

Total characters244
Distinct characters103
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)93.9%

Sample

1st row(주) 두손어닝시스템
2nd row(주)가든프로젝트
3rd row(주)거성어닝시스템
4th row(주)나우코퍼레이션
5th row(주)나우코퍼레이션 제2공장
ValueCountFrequency (%)
제일피복공업(주 2
 
5.4%
주)나우코퍼레이션 2
 
5.4%
아이원스포츠 1
 
2.7%
두손산업 1
 
2.7%
목원산업 1
 
2.7%
사회적협동조합 1
 
2.7%
나눔공동체(반올림보호작업장 1
 
2.7%
세왕 1
 
2.7%
쏠큐브 1
 
2.7%
유룩스 1
 
2.7%
Other values (25) 25
67.6%
2024-03-14T17:53:27.225427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 19
 
7.8%
주 19
 
7.8%
) 19
 
7.8%
이 9
 
3.7%
업 7
 
2.9%
산 6
 
2.5%
스 6
 
2.5%
시 4
 
1.6%
장 4
 
1.6%
공 4
 
1.6%
Other values (93) 147
60.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 201
82.4%
Open Punctuation 19
 
7.8%
Close Punctuation 19
 
7.8%
Space Separator 4
 
1.6%
Decimal Number 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 19
 
9.5%
이 9
 
4.5%
업 7
 
3.5%
산 6
 
3.0%
스 6
 
3.0%
시 4
 
2.0%
장 4
 
2.0%
공 4
 
2.0%
코 4
 
2.0%
션 3
 
1.5%
Other values (89) 135
67.2%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 201
82.4%
Common 43
 
17.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 19
 
9.5%
이 9
 
4.5%
업 7
 
3.5%
산 6
 
3.0%
스 6
 
3.0%
시 4
 
2.0%
장 4
 
2.0%
공 4
 
2.0%
코 4
 
2.0%
션 3
 
1.5%
Other values (89) 135
67.2%
Common
ValueCountFrequency (%)
( 19
44.2%
) 19
44.2%
4
 
9.3%
2 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 201
82.4%
ASCII 43
 
17.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 19
44.2%
) 19
44.2%
4
 
9.3%
2 1
 
2.3%
Hangul
ValueCountFrequency (%)
주 19
 
9.5%
이 9
 
4.5%
업 7
 
3.5%
산 6
 
3.0%
스 6
 
3.0%
시 4
 
2.0%
장 4
 
2.0%
공 4
 
2.0%
코 4
 
2.0%
션 3
 
1.5%
Other values (89) 135
67.2%

공장대표주소(도로명)
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size392.0 B
2024-03-14T17:53:28.220647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length107
Median length42
Mean length35.363636
Min length21

Characters and Unicode

Total characters1167
Distinct characters103
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

Unique33 ?
Unique (%)100.0%

Sample

1st row경기도 하남시 대성로 29-15 (항동)
2nd row경기도 하남시 조정대로 35, 하우스디엘타워 F516-2호 (풍산동)
3rd row경기도 하남시 조정대로 45 (풍산동) 미사센텀비즈 B3층 FB327호
4th row경기도 하남시 덕풍북로 26-1 (덕풍동)
5th row경기도 하남시 하남대로 947, A동 508,1504호(풍산동, 하남테크노밸리 U1 CENTER) A동 508,1504호
ValueCountFrequency (%)
경기도 33
 
14.7%
하남시 33
 
14.7%
풍산동 9
 
4.0%
a동 6
 
2.7%
광암동 5
 
2.2%
하남대로 4
 
1.8%
조정대로 4
 
1.8%
947 4
 
1.8%
초광산단로 3
 
1.3%
25 3
 
1.3%
Other values (99) 120
53.6%
2024-03-14T17:53:29.687687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
192
 
16.5%
1 59
 
5.1%
하 49
 
4.2%
남 45
 
3.9%
동 42
 
3.6%
, 35
 
3.0%
경 33
 
2.8%
기 33
 
2.8%
( 33
 
2.8%
) 33
 
2.8%
Other values (93) 613
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 598
51.2%
Decimal Number 223
 
19.1%
Space Separator 192
 
16.5%
Uppercase Letter 43
 
3.7%
Other Punctuation 35
 
3.0%
Open Punctuation 33
 
2.8%
Close Punctuation 33
 
2.8%
Dash Punctuation 9
 
0.8%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
하 49
 
8.2%
남 45
 
7.5%
동 42
 
7.0%
경 33
 
5.5%
기 33
 
5.5%
도 33
 
5.5%
로 33
 
5.5%
시 33
 
5.5%
산 28
 
4.7%
호 21
 
3.5%
Other values (67) 248
41.5%
Decimal Number
ValueCountFrequency (%)
1 59
26.5%
0 31
13.9%
2 27
12.1%
5 26
11.7%
4 24
10.8%
6 16
 
7.2%
9 14
 
6.3%
3 12
 
5.4%
7 9
 
4.0%
8 5
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
F 12
27.9%
A 8
18.6%
B 7
16.3%
E 4
 
9.3%
U 3
 
7.0%
T 2
 
4.7%
R 2
 
4.7%
N 2
 
4.7%
C 2
 
4.7%
W 1
 
2.3%
Space Separator
ValueCountFrequency (%)
192
100.0%
Other Punctuation
ValueCountFrequency (%)
, 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Lowercase Letter
ValueCountFrequency (%)
u 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 598
51.2%
Common 525
45.0%
Latin 44
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
하 49
 
8.2%
남 45
 
7.5%
동 42
 
7.0%
경 33
 
5.5%
기 33
 
5.5%
도 33
 
5.5%
로 33
 
5.5%
시 33
 
5.5%
산 28
 
4.7%
호 21
 
3.5%
Other values (67) 248
41.5%
Common
ValueCountFrequency (%)
192
36.6%
1 59
 
11.2%
, 35
 
6.7%
( 33
 
6.3%
) 33
 
6.3%
0 31
 
5.9%
2 27
 
5.1%
5 26
 
5.0%
4 24
 
4.6%
6 16
 
3.0%
Other values (5) 49
 
9.3%
Latin
ValueCountFrequency (%)
F 12
27.3%
A 8
18.2%
B 7
15.9%
E 4
 
9.1%
U 3
 
6.8%
T 2
 
4.5%
R 2
 
4.5%
N 2
 
4.5%
C 2
 
4.5%
u 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 598
51.2%
ASCII 569
48.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
192
33.7%
1 59
 
10.4%
, 35
 
6.2%
( 33
 
5.8%
) 33
 
5.8%
0 31
 
5.4%
2 27
 
4.7%
5 26
 
4.6%
4 24
 
4.2%
6 16
 
2.8%
Other values (16) 93
16.3%
Hangul
ValueCountFrequency (%)
하 49
 
8.2%
남 45
 
7.5%
동 42
 
7.0%
경 33
 
5.5%
기 33
 
5.5%
도 33
 
5.5%
로 33
 
5.5%
시 33
 
5.5%
산 28
 
4.7%
호 21
 
3.5%
Other values (67) 248
41.5%

홈페이지 주소
Text

MISSING 

Distinct12
Distinct (%)100.0%
Missing21
Missing (%)63.6%
Memory size392.0 B
2024-03-14T17:53:30.421514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20.5
Mean length18.666667
Min length13

Characters and Unicode

Total characters224
Distinct characters25
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

Unique12 ?
Unique (%)100.0%

Sample

1st rowwww.dooson2000.co.kr
2nd rowwww.gardenproject.co.kr
3rd rowwww.geosungawning.com
4th rowwww.byvow.com
5th rowwww.sinaedle.com
ValueCountFrequency (%)
www.dooson2000.co.kr 1
8.3%
www.gardenproject.co.kr 1
8.3%
www.geosungawning.com 1
8.3%
www.byvow.com 1
8.3%
www.sinaedle.com 1
8.3%
www.monotrack.co.kr 1
8.3%
www.campreborn.com 1
8.3%
www.hessedkorea.com 1
8.3%
www.settybag.co.kr 1
8.3%
www.ssolcube.com 1
8.3%
Other values (2) 2
16.7%
2024-03-14T17:53:31.249594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 38
17.0%
. 30
13.4%
o 26
11.6%
c 17
 
7.6%
e 12
 
5.4%
n 12
 
5.4%
r 12
 
5.4%
a 10
 
4.5%
k 8
 
3.6%
s 8
 
3.6%
Other values (15) 51
22.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 190
84.8%
Other Punctuation 30
 
13.4%
Decimal Number 4
 
1.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 38
20.0%
o 26
13.7%
c 17
8.9%
e 12
 
6.3%
n 12
 
6.3%
r 12
 
6.3%
a 10
 
5.3%
k 8
 
4.2%
s 8
 
4.2%
m 8
 
4.2%
Other values (12) 39
20.5%
Decimal Number
ValueCountFrequency (%)
0 3
75.0%
2 1
 
25.0%
Other Punctuation
ValueCountFrequency (%)
. 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 190
84.8%
Common 34
 
15.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 38
20.0%
o 26
13.7%
c 17
8.9%
e 12
 
6.3%
n 12
 
6.3%
r 12
 
6.3%
a 10
 
5.3%
k 8
 
4.2%
s 8
 
4.2%
m 8
 
4.2%
Other values (12) 39
20.5%
Common
ValueCountFrequency (%)
. 30
88.2%
0 3
 
8.8%
2 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 224
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 38
17.0%
. 30
13.4%
o 26
11.6%
c 17
 
7.6%
e 12
 
5.4%
n 12
 
5.4%
r 12
 
5.4%
a 10
 
4.5%
k 8
 
3.6%
s 8
 
3.6%
Other values (15) 51
22.8%

대표업종번호
Real number (ℝ)

Distinct16
Distinct (%)48.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14630.152
Minimum13221
Maximum22212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size425.0 B
2024-03-14T17:53:31.457864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13221
5-th percentile13221
Q113223
median13224
Q314300
95-th percentile20997.6
Maximum22212
Range8991
Interquartile range (IQR)1077

Descriptive statistics

Standard deviation2520.3923
Coefficient of variation (CV)0.17227384
Kurtosis3.9341368
Mean14630.152
Median Absolute Deviation (MAD)3
Skewness2.1514389
Sum482795
Variance6352377.5
MonotonicityNot monotonic
2024-03-14T17:53:31.652121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
13221 8
24.2%
13224 7
21.2%
14192 4
12.1%
13223 2
 
6.1%
20202 1
 
3.0%
14111 1
 
3.0%
16291 1
 
3.0%
15129 1
 
3.0%
17902 1
 
3.0%
16221 1
 
3.0%
Other values (6) 6
18.2%
ValueCountFrequency (%)
13221 8
24.2%
13223 2
 
6.1%
13224 7
21.2%
13225 1
 
3.0%
13229 1
 
3.0%
14111 1
 
3.0%
14192 4
12.1%
14300 1
 
3.0%
15129 1
 
3.0%
16221 1
 
3.0%
ValueCountFrequency (%)
22212 1
 
3.0%
22191 1
 
3.0%
20202 1
 
3.0%
17902 1
 
3.0%
16291 1
 
3.0%
16232 1
 
3.0%
16221 1
 
3.0%
15129 1
 
3.0%
14300 1
 
3.0%
14192 4
12.1%

업종명
Text

Distinct27
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Memory size392.0 B
2024-03-14T17:53:32.329084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length19.787879
Min length8

Characters and Unicode

Total characters653
Distinct characters79
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)72.7%

Sample

1st row천막, 텐트 및 유사 제품 제조업 외 1 종
2nd row목재 포장용 상자, 드럼 및 유사용기 제조업 외 1 종
3rd row천막, 텐트 및 유사 제품 제조업 외 1 종
4th row침구 및 관련제품 제조업 외 27 종
5th row침구 및 관련제품 제조업 외 18 종
ValueCountFrequency (%)
제조업 33
14.9%
및 26
 
11.8%
외 24
 
10.9%
종 24
 
10.9%
1 9
 
4.1%
관련제품 9
 
4.1%
침구 8
 
3.6%
천막 7
 
3.2%
텐트 7
 
3.2%
유사 7
 
3.2%
Other values (43) 67
30.3%
2024-03-14T17:53:33.249109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
188
28.8%
제 54
 
8.3%
업 37
 
5.7%
조 34
 
5.2%
및 26
 
4.0%
종 25
 
3.8%
외 24
 
3.7%
품 21
 
3.2%
1 18
 
2.8%
유 14
 
2.1%
Other values (69) 212
32.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 419
64.2%
Space Separator 188
28.8%
Decimal Number 34
 
5.2%
Other Punctuation 12
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 54
 
12.9%
업 37
 
8.8%
조 34
 
8.1%
및 26
 
6.2%
종 25
 
6.0%
외 24
 
5.7%
품 21
 
5.0%
유 14
 
3.3%
사 14
 
3.3%
복 13
 
3.1%
Other values (59) 157
37.5%
Decimal Number
ValueCountFrequency (%)
1 18
52.9%
2 6
 
17.6%
9 3
 
8.8%
3 2
 
5.9%
8 2
 
5.9%
5 1
 
2.9%
7 1
 
2.9%
6 1
 
2.9%
Space Separator
ValueCountFrequency (%)
188
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 419
64.2%
Common 234
35.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 54
 
12.9%
업 37
 
8.8%
조 34
 
8.1%
및 26
 
6.2%
종 25
 
6.0%
외 24
 
5.7%
품 21
 
5.0%
유 14
 
3.3%
사 14
 
3.3%
복 13
 
3.1%
Other values (59) 157
37.5%
Common
ValueCountFrequency (%)
188
80.3%
1 18
 
7.7%
, 12
 
5.1%
2 6
 
2.6%
9 3
 
1.3%
3 2
 
0.9%
8 2
 
0.9%
5 1
 
0.4%
7 1
 
0.4%
6 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 419
64.2%
ASCII 234
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
188
80.3%
1 18
 
7.7%
, 12
 
5.1%
2 6
 
2.6%
9 3
 
1.3%
3 2
 
0.9%
8 2
 
0.9%
5 1
 
0.4%
7 1
 
0.4%
6 1
 
0.4%
Hangul
ValueCountFrequency (%)
제 54
 
12.9%
업 37
 
8.8%
조 34
 
8.1%
및 26
 
6.2%
종 25
 
6.0%
외 24
 
5.7%
품 21
 
5.0%
유 14
 
3.3%
사 14
 
3.3%
복 13
 
3.1%
Other values (59) 157
37.5%

전화번호
Text

MISSING 

Distinct31
Distinct (%)96.9%
Missing1
Missing (%)3.0%
Memory size392.0 B
2024-03-14T17:53:34.034392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12.5
Mean length11.75
Min length11

Characters and Unicode

Total characters376
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

Unique30 ?
Unique (%)93.8%

Sample

1st row02-422-2688
2nd row02-2203-9501
3rd row02-2244-5417
4th row031-796-4577
5th row02-488-8842
ValueCountFrequency (%)
031-796-4577 2
 
6.2%
02-400-3123 1
 
3.1%
02-931-7524 1
 
3.1%
02-000-0000 1
 
3.1%
02-497-0309 1
 
3.1%
031-958-6885 1
 
3.1%
031-792-4787 1
 
3.1%
02-2254-0786 1
 
3.1%
070-8875-5079 1
 
3.1%
02-441-3745 1
 
3.1%
Other values (21) 21
65.6%
2024-03-14T17:53:35.274679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 64
17.0%
0 61
16.2%
2 45
12.0%
7 31
8.2%
4 31
8.2%
1 28
7.4%
3 27
7.2%
9 25
 
6.6%
5 25
 
6.6%
8 23
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 312
83.0%
Dash Punctuation 64
 
17.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 61
19.6%
2 45
14.4%
7 31
9.9%
4 31
9.9%
1 28
9.0%
3 27
8.7%
9 25
8.0%
5 25
8.0%
8 23
 
7.4%
6 16
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 376
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 64
17.0%
0 61
16.2%
2 45
12.0%
7 31
8.2%
4 31
8.2%
1 28
7.4%
3 27
7.2%
9 25
 
6.6%
5 25
 
6.6%
8 23
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 376
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 64
17.0%
0 61
16.2%
2 45
12.0%
7 31
8.2%
4 31
8.2%
1 28
7.4%
3 27
7.2%
9 25
 
6.6%
5 25
 
6.6%
8 23
 
6.1%

팩스번호
Text

MISSING 

Distinct27
Distinct (%)90.0%
Missing3
Missing (%)9.1%
Memory size392.0 B
2024-03-14T17:53:36.035045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.833333
Min length11

Characters and Unicode

Total characters355
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

Unique25 ?
Unique (%)83.3%

Sample

1st row02-422-1449
2nd row02-2203-9505
3rd row031-553-5443
4th row031-795-4708
5th row031-795-4708
ValueCountFrequency (%)
031-795-4708 3
 
10.0%
02-497-0304 2
 
6.7%
02-422-1449 1
 
3.3%
02-406-3968 1
 
3.3%
02-432-7313 1
 
3.3%
070-4944-0120 1
 
3.3%
031-624-0969 1
 
3.3%
02-441-3747 1
 
3.3%
031-796-6919 1
 
3.3%
031-5175-3631 1
 
3.3%
Other values (17) 17
56.7%
2024-03-14T17:53:37.237572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 60
16.9%
0 57
16.1%
1 34
9.6%
4 32
9.0%
2 31
8.7%
3 30
8.5%
9 27
7.6%
5 27
7.6%
7 25
7.0%
8 16
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 295
83.1%
Dash Punctuation 60
 
16.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 57
19.3%
1 34
11.5%
4 32
10.8%
2 31
10.5%
3 30
10.2%
9 27
9.2%
5 27
9.2%
7 25
8.5%
8 16
 
5.4%
6 16
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 355
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 60
16.9%
0 57
16.1%
1 34
9.6%
4 32
9.0%
2 31
8.7%
3 30
8.5%
9 27
7.6%
5 27
7.6%
7 25
7.0%
8 16
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 355
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 60
16.9%
0 57
16.1%
1 34
9.6%
4 32
9.0%
2 31
8.7%
3 30
8.5%
9 27
7.6%
5 27
7.6%
7 25
7.0%
8 16
 
4.5%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size392.0 B
2024-02-07
33 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-07
2nd row2024-02-07
3rd row2024-02-07
4th row2024-02-07
5th row2024-02-07

Common Values

ValueCountFrequency (%)
2024-02-07 33
100.0%

Length

2024-03-14T17:53:37.653762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:53:37.935513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-02-07 33
100.0%

Interactions

2024-03-14T17:53:24.344653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T17:53:38.121235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회사명공장대표주소(도로명)홈페이지 주소대표업종번호업종명전화번호팩스번호
회사명1.0001.0001.0001.0000.9590.9911.000
공장대표주소(도로명)1.0001.0001.0001.0001.0001.0001.000
홈페이지 주소1.0001.0001.0001.0001.0001.0001.000
대표업종번호1.0001.0001.0001.0001.0001.0001.000
업종명0.9591.0001.0001.0001.0000.9780.947
전화번호0.9911.0001.0001.0000.9781.0001.000
팩스번호1.0001.0001.0001.0000.9471.0001.000

Missing values

2024-03-14T17:53:24.682226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T17:53:25.098674image/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.
2024-03-14T17:53:25.418568image/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)홈페이지 주소대표업종번호업종명전화번호팩스번호데이터기준일자
0(주) 두손어닝시스템경기도 하남시 대성로 29-15 (항동)www.dooson2000.co.kr13224천막, 텐트 및 유사 제품 제조업 외 1 종02-422-268802-422-14492024-02-07
1(주)가든프로젝트경기도 하남시 조정대로 35, 하우스디엘타워 F516-2호 (풍산동)www.gardenproject.co.kr16232목재 포장용 상자, 드럼 및 유사용기 제조업 외 1 종02-2203-950102-2203-95052024-02-07
2(주)거성어닝시스템경기도 하남시 조정대로 45 (풍산동) 미사센텀비즈 B3층 FB327호www.geosungawning.com13224천막, 텐트 및 유사 제품 제조업 외 1 종02-2244-5417031-553-54432024-02-07
3(주)나우코퍼레이션경기도 하남시 덕풍북로 26-1 (덕풍동)<NA>13221침구 및 관련제품 제조업 외 27 종031-796-4577031-795-47082024-02-07
4(주)나우코퍼레이션 제2공장경기도 하남시 하남대로 947, A동 508,1504호(풍산동, 하남테크노밸리 U1 CENTER) A동 508,1504호<NA>13221침구 및 관련제품 제조업 외 18 종02-488-8842031-795-47082024-02-07
5(주)바이바우경기도 하남시 산곡동로 84-33, 1층(하산곡동)www.byvow.com13221침구 및 관련제품 제조업 외 1 종031-794-1905031-791-19052024-02-07
6(주)서륭물산경기도 하남시 초이로99번길 47 (초이동)<NA>22212플라스틱 필름 제조업 외 1 종02-429-022702-429-06272024-02-07
7(주)세이프헬스케어경기도 하남시 하남대로 947 (풍산동) A동 10층 1020호<NA>13229기타 직물제품 제조업 외 9 종070-4351-2565031-5180-31612024-02-07
8(주)시내엔들경기도 하남시 미사강변서로 25 (풍산동) 미사 테스타타워 지식산업센터 F716호www.sinaedle.com13225직물포대 제조업02-448-002302-448-51502024-02-07
9(주)시에이치무역경기도 하남시 초일로 395 (초일동)www.monotrack.co.kr13223커튼 및 유사제품 제조업 외 1 종02-488-027602-488-02792024-02-07
회사명공장대표주소(도로명)홈페이지 주소대표업종번호업종명전화번호팩스번호데이터기준일자
23아이원스포츠경기도 하남시 미사강변중앙로7번안길 25, A동 609호(풍산동, u-테크밸리)<NA>14192근무복, 작업복 및 유사의복 제조업 외 1 종<NA><NA>2024-02-07
24유룩스경기도 하남시 검단산로34번길 35-16 (하산곡동)<NA>13224천막, 텐트 및 유사 제품 제조업031-796-6920031-796-69192024-02-07
25장보고케노피경기도 하남시 초광산단로 125 (광암동)www.jangbogocanopy.co.kr13224천막, 텐트 및 유사 제품 제조업02-441-374502-441-37472024-02-07
26장원산업경기도 하남시 미사강변서로 16, F224호(풍산동, 하우스디스마트밸리) F224호www.anytent.co.kr13224천막, 텐트 및 유사 제품 제조업 외 1 종070-8875-5079031-624-09692024-02-07
27재재패션(주)경기도 하남시 미사강변중앙로 11, WB110호(풍산동, 두산 더프론트 미사)<NA>14192근무복, 작업복 및 유사의복 제조업 외 15 종02-2254-0786070-4944-01202024-02-07
28정호산업사경기도 하남시 덕풍북로6번길 111 (덕풍동)<NA>16291목재 도구 및 주방용 나무제품 제조업031-792-478702-432-73132024-02-07
29제일피복공업(주)경기도 하남시 하남대로654번길 24-6 (천현동) 외 1필지<NA>13221침구 및 관련제품 제조업 외 11 종031-958-688502-497-03042024-02-07
30제일피복공업(주)경기도 하남시 하남대로861번안길 30-4(덕풍동)<NA>13221침구 및 관련제품 제조업 외 12 종02-497-030902-497-03042024-02-07
31초이블라인드경기도 하남시 초광로 102, 2층 206호 (광암동)<NA>13223커튼 및 유사제품 제조업02-000-0000<NA>2024-02-07
32코데아경기도 하남시 하남대로654번길 24-7, 가,나동 (천현동)<NA>14111남자용 겉옷 제조업 외 12 종031-796-2459<NA>2024-02-07