Overview

Dataset statistics

Number of variables10
Number of observations37
Missing cells8
Missing cells (%)2.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory84.6 B

Variable types

Categorical1
Text6
Numeric1
DateTime2

Dataset

Description강원도 인제군에 위치한 산업단지 입주기업 현황 데이터로 산업단지명, 업체명, 사업자등록번호, 전화번호 등 항목을 제공합니다.
Author강원도 인제군
URLhttps://www.data.go.kr/data/15042313/fileData.do

Alerts

데이터기준일 has constant value ""Constant
단지명 is highly imbalanced (82.1%)Imbalance
팩스번호 has 8 (21.6%) missing valuesMissing
회사명 has unique valuesUnique
업종명 has unique valuesUnique
주생산품 has unique valuesUnique
고용인원 has 1 (2.7%) zerosZeros

Reproduction

Analysis started2023-12-12 12:03:49.210804
Analysis finished2023-12-12 12:03:50.218591
Duration1.01 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

단지명
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
원통농공단지
36 
귀둔농공단지
 
1

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique1 ?
Unique (%)2.7%

Sample

1st row귀둔농공단지
2nd row원통농공단지
3rd row원통농공단지
4th row원통농공단지
5th row원통농공단지

Common Values

ValueCountFrequency (%)
원통농공단지 36
97.3%
귀둔농공단지 1
 
2.7%

Length

2023-12-12T21:03:50.301843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:03:50.425232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원통농공단지 36
97.3%
귀둔농공단지 1
 
2.7%

회사명
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-12T21:03:50.622351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length8.2972973
Min length2

Characters and Unicode

Total characters307
Distinct characters110
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)100.0%

Sample

1st row머피아
2nd row(주) 삼호
3rd row(주)본우드
4th row(주)삼성이앤씨
5th row(주)솔루션즈온넷
ValueCountFrequency (%)
주식회사 7
 
13.0%
농업회사법인 5
 
9.3%
머피아 1
 
1.9%
사단법인 1
 
1.9%
인제용대황태연합회 1
 
1.9%
선일상사 1
 
1.9%
설악산발효영농조합법인 1
 
1.9%
설악종합공사 1
 
1.9%
설악테크 1
 
1.9%
성일주식회사 1
 
1.9%
Other values (34) 34
63.0%
2023-12-12T21:03:51.320801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 19
 
6.2%
주 18
 
5.9%
18
 
5.9%
회 17
 
5.5%
인 14
 
4.6%
식 13
 
4.2%
법 9
 
2.9%
) 8
 
2.6%
( 8
 
2.6%
농 8
 
2.6%
Other values (100) 175
57.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 268
87.3%
Space Separator 18
 
5.9%
Close Punctuation 8
 
2.6%
Open Punctuation 8
 
2.6%
Uppercase Letter 4
 
1.3%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 19
 
7.1%
주 18
 
6.7%
회 17
 
6.3%
인 14
 
5.2%
식 13
 
4.9%
법 9
 
3.4%
농 8
 
3.0%
합 7
 
2.6%
태 5
 
1.9%
대 5
 
1.9%
Other values (92) 153
57.1%
Uppercase Letter
ValueCountFrequency (%)
O 1
25.0%
J 1
25.0%
B 1
25.0%
I 1
25.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Decimal Number
ValueCountFrequency (%)
9 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 268
87.3%
Common 35
 
11.4%
Latin 4
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 19
 
7.1%
주 18
 
6.7%
회 17
 
6.3%
인 14
 
5.2%
식 13
 
4.9%
법 9
 
3.4%
농 8
 
3.0%
합 7
 
2.6%
태 5
 
1.9%
대 5
 
1.9%
Other values (92) 153
57.1%
Common
ValueCountFrequency (%)
18
51.4%
) 8
22.9%
( 8
22.9%
9 1
 
2.9%
Latin
ValueCountFrequency (%)
O 1
25.0%
J 1
25.0%
B 1
25.0%
I 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 268
87.3%
ASCII 39
 
12.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 19
 
7.1%
주 18
 
6.7%
회 17
 
6.3%
인 14
 
5.2%
식 13
 
4.9%
법 9
 
3.4%
농 8
 
3.0%
합 7
 
2.6%
태 5
 
1.9%
대 5
 
1.9%
Other values (92) 153
57.1%
ASCII
ValueCountFrequency (%)
18
46.2%
) 8
20.5%
( 8
20.5%
O 1
 
2.6%
J 1
 
2.6%
9 1
 
2.6%
B 1
 
2.6%
I 1
 
2.6%

기업대표주소
Text

Distinct33
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-12T21:03:51.571246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length27
Mean length23.135135
Min length18

Characters and Unicode

Total characters856
Distinct characters33
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

Unique29 ?
Unique (%)78.4%

Sample

1st row강원도 인제군 인제읍 귀둔길 31
2nd row강원도 인제군 북면 원통로74번길 10-19, 원통리 1704번지
3rd row강원도 인제군 북면 원통로74번길 51
4th row강원도 인제군 북면 원통리 1703번지
5th row강원도 인제군 북면 원통로74번길 19
ValueCountFrequency (%)
강원도 37
19.1%
인제군 37
19.1%
북면 36
18.6%
원통로74번길 24
12.4%
원통리 10
 
5.2%
외 3
 
1.5%
1필지 3
 
1.5%
원통로128번길 3
 
1.5%
21 2
 
1.0%
1721번지 2
 
1.0%
Other values (33) 37
19.1%
2023-12-12T21:03:51.952243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
157
18.3%
원 74
 
8.6%
1 47
 
5.5%
제 39
 
4.6%
인 38
 
4.4%
강 37
 
4.3%
도 37
 
4.3%
군 37
 
4.3%
통 37
 
4.3%
번 37
 
4.3%
Other values (23) 316
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 496
57.9%
Decimal Number 186
 
21.7%
Space Separator 157
 
18.3%
Dash Punctuation 15
 
1.8%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 74
14.9%
제 39
7.9%
인 38
7.7%
강 37
7.5%
도 37
7.5%
군 37
7.5%
통 37
7.5%
번 37
7.5%
북 36
7.3%
면 36
7.3%
Other values (10) 88
17.7%
Decimal Number
ValueCountFrequency (%)
1 47
25.3%
4 36
19.4%
7 36
19.4%
0 20
10.8%
2 16
 
8.6%
9 10
 
5.4%
3 8
 
4.3%
5 5
 
2.7%
8 4
 
2.2%
6 4
 
2.2%
Space Separator
ValueCountFrequency (%)
157
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 496
57.9%
Common 360
42.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 74
14.9%
제 39
7.9%
인 38
7.7%
강 37
7.5%
도 37
7.5%
군 37
7.5%
통 37
7.5%
번 37
7.5%
북 36
7.3%
면 36
7.3%
Other values (10) 88
17.7%
Common
ValueCountFrequency (%)
157
43.6%
1 47
 
13.1%
4 36
 
10.0%
7 36
 
10.0%
0 20
 
5.6%
2 16
 
4.4%
- 15
 
4.2%
9 10
 
2.8%
3 8
 
2.2%
5 5
 
1.4%
Other values (3) 10
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 496
57.9%
ASCII 360
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
157
43.6%
1 47
 
13.1%
4 36
 
10.0%
7 36
 
10.0%
0 20
 
5.6%
2 16
 
4.4%
- 15
 
4.2%
9 10
 
2.8%
3 8
 
2.2%
5 5
 
1.4%
Other values (3) 10
 
2.8%
Hangul
ValueCountFrequency (%)
원 74
14.9%
제 39
7.9%
인 38
7.7%
강 37
7.5%
도 37
7.5%
군 37
7.5%
통 37
7.5%
번 37
7.5%
북 36
7.3%
면 36
7.3%
Other values (10) 88
17.7%

전화번호
Text

Distinct35
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-12T21:03:52.157334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.918919
Min length9

Characters and Unicode

Total characters441
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

Unique33 ?
Unique (%)89.2%

Sample

1st row031-544-3544
2nd row033-463-8544
3rd row02-6341-1708
4th row02-909-8338
5th row033-462-6207
ValueCountFrequency (%)
033-462-6927 2
 
5.4%
033-463-7711 2
 
5.4%
033-462-8044 1
 
2.7%
033-461-9197 1
 
2.7%
033-463-4635 1
 
2.7%
033-461-4416 1
 
2.7%
033-461-0399 1
 
2.7%
032-676-0233 1
 
2.7%
033-463-2026 1
 
2.7%
033-461-0444 1
 
2.7%
Other values (25) 25
67.6%
2023-12-12T21:03:52.563145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 84
19.0%
- 73
16.6%
0 59
13.4%
4 53
12.0%
6 43
9.8%
1 32
 
7.3%
2 29
 
6.6%
7 21
 
4.8%
9 19
 
4.3%
8 17
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 368
83.4%
Dash Punctuation 73
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 84
22.8%
0 59
16.0%
4 53
14.4%
6 43
11.7%
1 32
 
8.7%
2 29
 
7.9%
7 21
 
5.7%
9 19
 
5.2%
8 17
 
4.6%
5 11
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 73
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 441
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 84
19.0%
- 73
16.6%
0 59
13.4%
4 53
12.0%
6 43
9.8%
1 32
 
7.3%
2 29
 
6.6%
7 21
 
4.8%
9 19
 
4.3%
8 17
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 441
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 84
19.0%
- 73
16.6%
0 59
13.4%
4 53
12.0%
6 43
9.8%
1 32
 
7.3%
2 29
 
6.6%
7 21
 
4.8%
9 19
 
4.3%
8 17
 
3.9%

팩스번호
Text

MISSING 

Distinct28
Distinct (%)96.6%
Missing8
Missing (%)21.6%
Memory size428.0 B
2023-12-12T21:03:52.796090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.068966
Min length12

Characters and Unicode

Total characters350
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

Unique27 ?
Unique (%)93.1%

Sample

1st row031-544-9544
2nd row033-463-8545
3rd row02-6341-1709
4th row050-5115-8337
5th row050-5764-6208
ValueCountFrequency (%)
033-462-6928 2
 
6.9%
033-463-8002 1
 
3.4%
031-544-9544 1
 
3.4%
033-463-9980 1
 
3.4%
033-461-1591 1
 
3.4%
033-462-5666 1
 
3.4%
033-462-9003 1
 
3.4%
033-461-7726 1
 
3.4%
033-463-2027 1
 
3.4%
032-673-6297 1
 
3.4%
Other values (18) 18
62.1%
2023-12-12T21:03:53.178318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 65
18.6%
- 58
16.6%
0 52
14.9%
4 39
11.1%
6 35
10.0%
2 20
 
5.7%
1 20
 
5.7%
7 18
 
5.1%
5 17
 
4.9%
8 15
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 292
83.4%
Dash Punctuation 58
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 65
22.3%
0 52
17.8%
4 39
13.4%
6 35
12.0%
2 20
 
6.8%
1 20
 
6.8%
7 18
 
6.2%
5 17
 
5.8%
8 15
 
5.1%
9 11
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 350
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 65
18.6%
- 58
16.6%
0 52
14.9%
4 39
11.1%
6 35
10.0%
2 20
 
5.7%
1 20
 
5.7%
7 18
 
5.1%
5 17
 
4.9%
8 15
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 350
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 65
18.6%
- 58
16.6%
0 52
14.9%
4 39
11.1%
6 35
10.0%
2 20
 
5.7%
1 20
 
5.7%
7 18
 
5.1%
5 17
 
4.9%
8 15
 
4.3%

고용인원
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)43.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2162162
Minimum0
Maximum27
Zeros1
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-12T21:03:53.363579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.8
Q13
median5
Q37
95-th percentile17.6
Maximum27
Range27
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.8458681
Coefficient of variation (CV)0.94042226
Kurtosis5.2800677
Mean6.2162162
Median Absolute Deviation (MAD)2
Skewness2.1944853
Sum230
Variance34.174174
MonotonicityNot monotonic
2023-12-12T21:03:53.522571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2 7
18.9%
3 7
18.9%
6 6
16.2%
5 3
8.1%
10 2
 
5.4%
4 2
 
5.4%
13 1
 
2.7%
0 1
 
2.7%
16 1
 
2.7%
7 1
 
2.7%
Other values (6) 6
16.2%
ValueCountFrequency (%)
0 1
 
2.7%
1 1
 
2.7%
2 7
18.9%
3 7
18.9%
4 2
 
5.4%
5 3
8.1%
6 6
16.2%
7 1
 
2.7%
8 1
 
2.7%
9 1
 
2.7%
ValueCountFrequency (%)
27 1
 
2.7%
24 1
 
2.7%
16 1
 
2.7%
13 1
 
2.7%
11 1
 
2.7%
10 2
 
5.4%
9 1
 
2.7%
8 1
 
2.7%
7 1
 
2.7%
6 6
16.2%

공장등록일자
Date

Distinct33
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Memory size428.0 B
Minimum2002-10-14 00:00:00
Maximum2022-05-10 00:00:00
2023-12-12T21:03:53.684339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:03:53.853209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

업종명
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-12T21:03:54.155208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length20
Mean length18.216216
Min length6

Characters and Unicode

Total characters674
Distinct characters111
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)100.0%

Sample

1st row그 외 자동차용 신품 부품 제조업
2nd row금속탱크 및 저장용기 제조업 외 6 종
3rd row강화 및 재생 목재 제조업 외 1 종
4th row기타 음향기기 제조업 외 1 종
5th row방송장비 제조업 외 4 종
ValueCountFrequency (%)
제조업 31
 
13.5%
외 27
 
11.7%
종 25
 
10.9%
및 19
 
8.3%
1 11
 
4.8%
기타 8
 
3.5%
가공 6
 
2.6%
저장 5
 
2.2%
처리업 5
 
2.2%
3 3
 
1.3%
Other values (68) 90
39.1%
2023-12-12T21:03:54.657057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
193
28.6%
제 38
 
5.6%
업 38
 
5.6%
조 35
 
5.2%
외 27
 
4.0%
종 25
 
3.7%
기 20
 
3.0%
및 19
 
2.8%
1 15
 
2.2%
장 12
 
1.8%
Other values (101) 252
37.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 451
66.9%
Space Separator 193
28.6%
Decimal Number 27
 
4.0%
Other Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 38
 
8.4%
업 38
 
8.4%
조 35
 
7.8%
외 27
 
6.0%
종 25
 
5.5%
기 20
 
4.4%
및 19
 
4.2%
장 12
 
2.7%
공 9
 
2.0%
품 8
 
1.8%
Other values (92) 220
48.8%
Decimal Number
ValueCountFrequency (%)
1 15
55.6%
3 3
 
11.1%
2 3
 
11.1%
4 2
 
7.4%
6 2
 
7.4%
7 1
 
3.7%
5 1
 
3.7%
Space Separator
ValueCountFrequency (%)
193
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 451
66.9%
Common 223
33.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 38
 
8.4%
업 38
 
8.4%
조 35
 
7.8%
외 27
 
6.0%
종 25
 
5.5%
기 20
 
4.4%
및 19
 
4.2%
장 12
 
2.7%
공 9
 
2.0%
품 8
 
1.8%
Other values (92) 220
48.8%
Common
ValueCountFrequency (%)
193
86.5%
1 15
 
6.7%
3 3
 
1.3%
, 3
 
1.3%
2 3
 
1.3%
4 2
 
0.9%
6 2
 
0.9%
7 1
 
0.4%
5 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 449
66.6%
ASCII 223
33.1%
Compat Jamo 2
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
193
86.5%
1 15
 
6.7%
3 3
 
1.3%
, 3
 
1.3%
2 3
 
1.3%
4 2
 
0.9%
6 2
 
0.9%
7 1
 
0.4%
5 1
 
0.4%
Hangul
ValueCountFrequency (%)
제 38
 
8.5%
업 38
 
8.5%
조 35
 
7.8%
외 27
 
6.0%
종 25
 
5.6%
기 20
 
4.5%
및 19
 
4.2%
장 12
 
2.7%
공 9
 
2.0%
품 8
 
1.8%
Other values (91) 218
48.6%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%

주생산품
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-12T21:03:54.938911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length21
Mean length15.459459
Min length2

Characters and Unicode

Total characters572
Distinct characters197
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)100.0%

Sample

1st row자동차튜닝용 머플러, 소음기, 멀티링크
2nd row금속탱크, FRP(물탱크,라이닝), 기타 금속가공제품,스컴제거기, 이중보온관
3rd row합성목재, 테크, 휀스
4th row배전반, 제어반, 방송장비(스피커, 확성기 등)
5th row보안용카메라, 영상감시장치
ValueCountFrequency (%)
등 5
 
4.7%
자동제어장치 2
 
1.9%
슬러지수집기 2
 
1.9%
잣 2
 
1.9%
영상감시장치 2
 
1.9%
보안용카메라 2
 
1.9%
울타리 2
 
1.9%
자동차튜닝용 1
 
0.9%
수배전반 1
 
0.9%
공기정화기 1
 
0.9%
Other values (87) 87
81.3%
2023-12-12T21:03:55.428042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
70
 
12.2%
, 59
 
10.3%
기 20
 
3.5%
제 13
 
2.3%
장 13
 
2.3%
자 11
 
1.9%
반 10
 
1.7%
치 10
 
1.7%
어 9
 
1.6%
스 8
 
1.4%
Other values (187) 349
61.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 423
74.0%
Space Separator 70
 
12.2%
Other Punctuation 59
 
10.3%
Uppercase Letter 16
 
2.8%
Close Punctuation 2
 
0.3%
Open Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 20
 
4.7%
제 13
 
3.1%
장 13
 
3.1%
자 11
 
2.6%
반 10
 
2.4%
치 10
 
2.4%
어 9
 
2.1%
스 8
 
1.9%
수 7
 
1.7%
미 6
 
1.4%
Other values (171) 316
74.7%
Uppercase Letter
ValueCountFrequency (%)
C 2
12.5%
L 2
12.5%
E 2
12.5%
P 2
12.5%
V 1
6.2%
T 1
6.2%
N 1
6.2%
A 1
6.2%
D 1
6.2%
H 1
6.2%
Other values (2) 2
12.5%
Space Separator
ValueCountFrequency (%)
70
100.0%
Other Punctuation
ValueCountFrequency (%)
, 59
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 423
74.0%
Common 133
 
23.3%
Latin 16
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 20
 
4.7%
제 13
 
3.1%
장 13
 
3.1%
자 11
 
2.6%
반 10
 
2.4%
치 10
 
2.4%
어 9
 
2.1%
스 8
 
1.9%
수 7
 
1.7%
미 6
 
1.4%
Other values (171) 316
74.7%
Latin
ValueCountFrequency (%)
C 2
12.5%
L 2
12.5%
E 2
12.5%
P 2
12.5%
V 1
6.2%
T 1
6.2%
N 1
6.2%
A 1
6.2%
D 1
6.2%
H 1
6.2%
Other values (2) 2
12.5%
Common
ValueCountFrequency (%)
70
52.6%
, 59
44.4%
) 2
 
1.5%
( 2
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 423
74.0%
ASCII 149
 
26.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
70
47.0%
, 59
39.6%
C 2
 
1.3%
L 2
 
1.3%
E 2
 
1.3%
) 2
 
1.3%
P 2
 
1.3%
( 2
 
1.3%
V 1
 
0.7%
T 1
 
0.7%
Other values (6) 6
 
4.0%
Hangul
ValueCountFrequency (%)
기 20
 
4.7%
제 13
 
3.1%
장 13
 
3.1%
자 11
 
2.6%
반 10
 
2.4%
치 10
 
2.4%
어 9
 
2.1%
스 8
 
1.9%
수 7
 
1.7%
미 6
 
1.4%
Other values (171) 316
74.7%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
Minimum2022-08-17 00:00:00
Maximum2022-08-17 00:00:00
2023-12-12T21:03:55.600839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:03:55.718014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T21:03:49.778628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:03:55.833645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단지명회사명기업대표주소전화번호팩스번호고용인원공장등록일자업종명주생산품
단지명1.0001.0001.0001.0001.0000.0001.0001.0001.000
회사명1.0001.0001.0001.0001.0001.0001.0001.0001.000
기업대표주소1.0001.0001.0000.9891.0000.9160.8561.0001.000
전화번호1.0001.0000.9891.0001.0000.9640.9331.0001.000
팩스번호1.0001.0001.0001.0001.0000.9690.9641.0001.000
고용인원0.0001.0000.9160.9640.9691.0000.6981.0001.000
공장등록일자1.0001.0000.8560.9330.9640.6981.0001.0001.000
업종명1.0001.0001.0001.0001.0001.0001.0001.0001.000
주생산품1.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-12T21:03:56.001457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
고용인원단지명
고용인원1.0000.000
단지명0.0001.000

Missing values

2023-12-12T21:03:49.952136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:03:50.134251image/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.

Sample

단지명회사명기업대표주소전화번호팩스번호고용인원공장등록일자업종명주생산품데이터기준일
0귀둔농공단지머피아강원도 인제군 인제읍 귀둔길 31031-544-3544031-544-954462018-07-02그 외 자동차용 신품 부품 제조업자동차튜닝용 머플러, 소음기, 멀티링크2022-08-17
1원통농공단지(주) 삼호강원도 인제군 북면 원통로74번길 10-19, 원통리 1704번지033-463-8544033-463-854562014-03-11금속탱크 및 저장용기 제조업 외 6 종금속탱크, FRP(물탱크,라이닝), 기타 금속가공제품,스컴제거기, 이중보온관2022-08-17
2원통농공단지(주)본우드강원도 인제군 북면 원통로74번길 5102-6341-170802-6341-170932013-09-13강화 및 재생 목재 제조업 외 1 종합성목재, 테크, 휀스2022-08-17
3원통농공단지(주)삼성이앤씨강원도 인제군 북면 원통리 1703번지02-909-8338050-5115-833762013-12-31기타 음향기기 제조업 외 1 종배전반, 제어반, 방송장비(스피커, 확성기 등)2022-08-17
4원통농공단지(주)솔루션즈온넷강원도 인제군 북면 원통로74번길 19033-462-6207050-5764-620862018-10-29방송장비 제조업 외 4 종보안용카메라, 영상감시장치2022-08-17
5원통농공단지(주)우림강원도 인제군 북면 원통로74번길 10-27033-461-8822033-461-884462015-09-03액체 여과기 제조업 외 11 종수처리기자재2022-08-17
6원통농공단지(주)크롭강원도 인제군 북면 원통리 1720번지031-584-0712031-585-484882013-12-20기타 과실ㆍ채소 가공 및 저장 처리업 외 1 종잣, 잣 초코렛, 잣두유2022-08-17
7원통농공단지(주)태연테크강원도 인제군 북면 원통로74번길 37033-463-9411033-463-941092015-11-18액체 여과기 제조업 외 6 종송풍기, 슬러지수집기, 제진기교반기, 산소발생기, 탈취기, 탈수기, 오수처리용산기장치, 백필터, 컨베이어2022-08-17
8원통농공단지J9 BIO 영농조합법인강원도 인제군 북면 원통로74번길 10-41033-461-3980<NA>32016-02-12배합 사료 제조업 외 1 종발효미인2022-08-17
9원통농공단지농업회사법인 린디미방 주식회사강원도 인제군 북면 원통리 1692번지 외 1필지033-463-9011033-463-9012272012-01-03김치류 제조업 외 3 종반찬절임식품, 김치, 오미자착즙, 떡2022-08-17
단지명회사명기업대표주소전화번호팩스번호고용인원공장등록일자업종명주생산품데이터기준일
27원통농공단지에이티씨시스템강원도 인제군 북면 원통로74번길 10-29033-462-6927033-462-692822013-09-16방송장비 제조업 외 2 종PAENL, CCTV2022-08-17
28원통농공단지오토케어인제 주식회사강원도 인제군 북면 원통로74번길 10-29033-462-6927033-462-692852015-03-04기기용 자동측정 및 제어장치 제조업 외 1 종자동제어장치 및 원격감시제어장치2022-08-17
29원통농공단지용대황태연합단대륭영농조합법인강원도 인제군 북면 원통로74번길 10-32033-461-7725033-461-7726162012-04-30기타 수산동물 가공 및 저장 처리업 외 1 종황태채2022-08-17
30원통농공단지원서합동식품강원도 인제군 북면 원통로74번길 10-26033-461-3324<NA>22002-10-14두부 및 유사식품 제조업두부2022-08-17
31원통농공단지유옥선 장아찌강원도 인제군 북면 원통로74번길 10-47033-463-1177<NA>22013-04-02과실 및 그 외 채소 절임식품 제조업 외 1 종곰취, 깻잎 등 장아찌류2022-08-17
32원통농공단지주식회사 원일하이텍강원도 인제군 북면 원통로74번길 45, 제1호033-462-9002033-462-900332015-08-19구조용 금속 판제품 및 공작물 제조업 외 2 종금속재울타리,디자인형 울타리, 일반가공제품2022-08-17
33원통농공단지주식회사 태림강원도 인제군 북면 원통로74번길 19033-461-8977033-462-5666102019-03-14방송장비 제조업 외 1 종보안용카메라, 영상감시장치, 방송장비, 자동제어장치2022-08-17
34원통농공단지주식회사세한엘이디강원도 인제군 북면 원통로128번길 21070-8224-8696<NA>52021-08-13일반용 전기 조명장치 제조업 외 1 종LED가로,보완,투광,교통신호등2022-08-17
35원통농공단지주식회사조민건설강원도 인제군 북면 원통로74번길 31033-462-1590033-461-159102020-11-16구조용 금속 판제품 및 공작물 제조업 외 3 종디자인형 울타리, 낙석방지책, 옥외형 벤치, 퍼걸러, 버스승강장2022-08-17
36원통농공단지한국샷시강원도 인제군 북면 원통로128번길 17033-461-5410033-461-722722011-09-12플라스틱 창호 제조업 외 2 종알루미늄 샷시, 하이샷시2022-08-17