Overview

Dataset statistics

Number of variables12
Number of observations233
Missing cells132
Missing cells (%)4.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.4 KiB
Average record size in memory98.6 B

Variable types

Categorical1
Text7
DateTime2
Numeric2

Dataset

Description충청남도 서천군 기업체(제조업체) 현황 데이터를 제공합니다(입주유형, 기업체명, 대표자명, 공장대표주소, 설립일자, 주요 생산품, 전화번호, 팩스번호 등)을 제공하고 있습니다.
Author충청남도 서천군
URLhttps://www.data.go.kr/data/15028968/fileData.do

Alerts

데이터 기준일자 has constant value ""Constant
부지면적(제곱미터) is highly overall correlated with 종업원수High correlation
종업원수 is highly overall correlated with 부지면적(제곱미터)High correlation
전화번호 has 40 (17.2%) missing valuesMissing
팩스번호 has 92 (39.5%) missing valuesMissing
부지면적(제곱미터) has 7 (3.0%) zerosZeros
종업원수 has 3 (1.3%) zerosZeros

Reproduction

Analysis started2023-12-12 08:38:24.279249
Analysis finished2023-12-12 08:38:25.901515
Duration1.62 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

입주유형
Categorical

Distinct7
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
개별입지
148 
서천종천농공단지
32 
서천장항농공단지
19 
장항국가생태산업단지
 
10
서천장항원수제2농공단지
 
9
Other values (2)
15 

Length

Max length12
Median length4
Mean length5.7982833
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row장항국가생태산업단지
2nd row장항국가생태산업단지
3rd row장항국가생태산업단지
4th row장항국가생태산업단지
5th row장항국가생태산업단지

Common Values

ValueCountFrequency (%)
개별입지 148
63.5%
서천종천농공단지 32
 
13.7%
서천장항농공단지 19
 
8.2%
장항국가생태산업단지 10
 
4.3%
서천장항원수제2농공단지 9
 
3.9%
서천종천제2농공단지 8
 
3.4%
서천김가공특화단지 7
 
3.0%

Length

2023-12-12T17:38:25.997482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:38:26.149241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개별입지 148
63.5%
서천종천농공단지 32
 
13.7%
서천장항농공단지 19
 
8.2%
장항국가생태산업단지 10
 
4.3%
서천장항원수제2농공단지 9
 
3.9%
서천종천제2농공단지 8
 
3.4%
서천김가공특화단지 7
 
3.0%

기업체명
Text

Distinct228
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T17:38:26.394172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length7.8197425
Min length2

Characters and Unicode

Total characters1822
Distinct characters240
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique223 ?
Unique (%)95.7%

Sample

1st row(주)삼일이노팩 서해공장
2nd row(주)아이미코리아엠에스
3rd row(주)에이에스텍
4th row(주)우양 서천공장
5th row(주)티에스피지
ValueCountFrequency (%)
주식회사 22
 
7.4%
유한회사 8
 
2.7%
농업회사법인 5
 
1.7%
제2공장 4
 
1.3%
서천공장 3
 
1.0%
우일수산(주 3
 
1.0%
주)우양 3
 
1.0%
금강중공업 2
 
0.7%
종천공장 2
 
0.7%
주)부강이엔지 2
 
0.7%
Other values (235) 244
81.9%
2023-12-12T17:38:26.826721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 113
 
6.2%
( 83
 
4.6%
) 83
 
4.6%
산 78
 
4.3%
65
 
3.6%
사 56
 
3.1%
회 47
 
2.6%
식 46
 
2.5%
수 44
 
2.4%
장 44
 
2.4%
Other values (230) 1163
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1572
86.3%
Open Punctuation 83
 
4.6%
Close Punctuation 83
 
4.6%
Space Separator 65
 
3.6%
Decimal Number 16
 
0.9%
Uppercase Letter 2
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 113
 
7.2%
산 78
 
5.0%
사 56
 
3.6%
회 47
 
3.0%
식 46
 
2.9%
수 44
 
2.8%
장 44
 
2.8%
업 42
 
2.7%
공 37
 
2.4%
한 33
 
2.1%
Other values (219) 1032
65.6%
Decimal Number
ValueCountFrequency (%)
2 8
50.0%
1 4
25.0%
3 2
 
12.5%
4 1
 
6.2%
7 1
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
F 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 83
100.0%
Close Punctuation
ValueCountFrequency (%)
) 83
100.0%
Space Separator
ValueCountFrequency (%)
65
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1572
86.3%
Common 248
 
13.6%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 113
 
7.2%
산 78
 
5.0%
사 56
 
3.6%
회 47
 
3.0%
식 46
 
2.9%
수 44
 
2.8%
장 44
 
2.8%
업 42
 
2.7%
공 37
 
2.4%
한 33
 
2.1%
Other values (219) 1032
65.6%
Common
ValueCountFrequency (%)
( 83
33.5%
) 83
33.5%
65
26.2%
2 8
 
3.2%
1 4
 
1.6%
3 2
 
0.8%
4 1
 
0.4%
7 1
 
0.4%
& 1
 
0.4%
Latin
ValueCountFrequency (%)
S 1
50.0%
F 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1572
86.3%
ASCII 250
 
13.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 113
 
7.2%
산 78
 
5.0%
사 56
 
3.6%
회 47
 
3.0%
식 46
 
2.9%
수 44
 
2.8%
장 44
 
2.8%
업 42
 
2.7%
공 37
 
2.4%
한 33
 
2.1%
Other values (219) 1032
65.6%
ASCII
ValueCountFrequency (%)
( 83
33.2%
) 83
33.2%
65
26.0%
2 8
 
3.2%
1 4
 
1.6%
3 2
 
0.8%
4 1
 
0.4%
7 1
 
0.4%
S 1
 
0.4%
& 1
 
0.4%

대표자명
Text

Distinct208
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T17:38:27.271985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length3
Mean length3.360515
Min length2

Characters and Unicode

Total characters783
Distinct characters153
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

Unique188 ?
Unique (%)80.7%

Sample

1st row최용석
2nd row변영훈
3rd row윤종배
4th row이구열
5th row김남욱
ValueCountFrequency (%)
김영근 5
 
2.0%
이구열 3
 
1.2%
이정아 3
 
1.2%
김정림 3
 
1.2%
임순균 2
 
0.8%
김병근 2
 
0.8%
정석원 2
 
0.8%
박은영 2
 
0.8%
이은경 2
 
0.8%
전기태 2
 
0.8%
Other values (206) 218
89.3%
2023-12-12T17:38:27.802085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 51
 
6.5%
이 47
 
6.0%
정 25
 
3.2%
성 18
 
2.3%
재 17
 
2.2%
영 17
 
2.2%
박 16
 
2.0%
용 15
 
1.9%
수 15
 
1.9%
석 15
 
1.9%
Other values (143) 547
69.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 756
96.6%
Other Punctuation 15
 
1.9%
Space Separator 11
 
1.4%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 51
 
6.7%
이 47
 
6.2%
정 25
 
3.3%
성 18
 
2.4%
재 17
 
2.2%
영 17
 
2.2%
박 16
 
2.1%
용 15
 
2.0%
수 15
 
2.0%
석 15
 
2.0%
Other values (139) 520
68.8%
Other Punctuation
ValueCountFrequency (%)
, 14
93.3%
. 1
 
6.7%
Space Separator
ValueCountFrequency (%)
11
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 756
96.6%
Common 27
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 51
 
6.7%
이 47
 
6.2%
정 25
 
3.3%
성 18
 
2.4%
재 17
 
2.2%
영 17
 
2.2%
박 16
 
2.1%
용 15
 
2.0%
수 15
 
2.0%
석 15
 
2.0%
Other values (139) 520
68.8%
Common
ValueCountFrequency (%)
, 14
51.9%
11
40.7%
2 1
 
3.7%
. 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 756
96.6%
ASCII 27
 
3.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 51
 
6.7%
이 47
 
6.2%
정 25
 
3.3%
성 18
 
2.4%
재 17
 
2.2%
영 17
 
2.2%
박 16
 
2.1%
용 15
 
2.0%
수 15
 
2.0%
석 15
 
2.0%
Other values (139) 520
68.8%
ASCII
ValueCountFrequency (%)
, 14
51.9%
11
40.7%
2 1
 
3.7%
. 1
 
3.7%

공장대표주소
Text

Distinct227
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T17:38:28.062953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length39
Mean length26.502146
Min length18

Characters and Unicode

Total characters6175
Distinct characters174
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

Unique223 ?
Unique (%)95.7%

Sample

1st row충청남도 서천군 장항읍 옥남리 1022
2nd row충청남도 서천군 장항읍 장항산단5길 20
3rd row충청남도 서천군 장항읍 옥남리 1010
4th row충청남도 서천군 장항읍 옥남리 1040
5th row충청남도 서천군 장항읍 장항산단9길 41
ValueCountFrequency (%)
충청남도 233
 
17.8%
서천군 233
 
17.8%
장항읍 72
 
5.5%
종천면 56
 
4.3%
서면 31
 
2.4%
마서면 30
 
2.3%
필지 18
 
1.4%
총 18
 
1.4%
장산로 17
 
1.3%
한산면 14
 
1.1%
Other values (369) 586
44.8%
2023-12-12T17:38:28.559969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1080
 
17.5%
천 340
 
5.5%
서 333
 
5.4%
남 243
 
3.9%
도 242
 
3.9%
충 241
 
3.9%
군 235
 
3.8%
청 233
 
3.8%
1 190
 
3.1%
길 168
 
2.7%
Other values (164) 2870
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3828
62.0%
Space Separator 1080
 
17.5%
Decimal Number 934
 
15.1%
Open Punctuation 111
 
1.8%
Close Punctuation 111
 
1.8%
Dash Punctuation 97
 
1.6%
Other Punctuation 10
 
0.2%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 340
 
8.9%
서 333
 
8.7%
남 243
 
6.3%
도 242
 
6.3%
충 241
 
6.3%
군 235
 
6.1%
청 233
 
6.1%
길 168
 
4.4%
면 163
 
4.3%
장 154
 
4.0%
Other values (145) 1476
38.6%
Decimal Number
ValueCountFrequency (%)
1 190
20.3%
2 142
15.2%
3 108
11.6%
7 79
8.5%
4 76
 
8.1%
6 72
 
7.7%
8 71
 
7.6%
5 68
 
7.3%
0 67
 
7.2%
9 61
 
6.5%
Uppercase Letter
ValueCountFrequency (%)
B 1
25.0%
G 1
25.0%
L 1
25.0%
H 1
25.0%
Space Separator
ValueCountFrequency (%)
1080
100.0%
Open Punctuation
ValueCountFrequency (%)
( 111
100.0%
Close Punctuation
ValueCountFrequency (%)
) 111
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 97
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3828
62.0%
Common 2343
37.9%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 340
 
8.9%
서 333
 
8.7%
남 243
 
6.3%
도 242
 
6.3%
충 241
 
6.3%
군 235
 
6.1%
청 233
 
6.1%
길 168
 
4.4%
면 163
 
4.3%
장 154
 
4.0%
Other values (145) 1476
38.6%
Common
ValueCountFrequency (%)
1080
46.1%
1 190
 
8.1%
2 142
 
6.1%
( 111
 
4.7%
) 111
 
4.7%
3 108
 
4.6%
- 97
 
4.1%
7 79
 
3.4%
4 76
 
3.2%
6 72
 
3.1%
Other values (5) 277
 
11.8%
Latin
ValueCountFrequency (%)
B 1
25.0%
G 1
25.0%
L 1
25.0%
H 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3828
62.0%
ASCII 2347
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1080
46.0%
1 190
 
8.1%
2 142
 
6.1%
( 111
 
4.7%
) 111
 
4.7%
3 108
 
4.6%
- 97
 
4.1%
7 79
 
3.4%
4 76
 
3.2%
6 72
 
3.1%
Other values (9) 281
 
12.0%
Hangul
ValueCountFrequency (%)
천 340
 
8.9%
서 333
 
8.7%
남 243
 
6.3%
도 242
 
6.3%
충 241
 
6.3%
군 235
 
6.1%
청 233
 
6.1%
길 168
 
4.4%
면 163
 
4.3%
장 154
 
4.0%
Other values (145) 1476
38.6%

업종명
Text

Distinct124
Distinct (%)53.2%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T17:38:29.043072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length25
Mean length16.296137
Min length6

Characters and Unicode

Total characters3797
Distinct characters197
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)42.1%

Sample

1st row폴리스티렌 발포 성형제품 제조업
2nd row의료용품 및 기타 의약 관련제품 제조업
3rd row그 외 기타 분류 안된 화학제품 제조업
4th row빵류 제조업
5th row그 외 기타 1차 철강 제조업
ValueCountFrequency (%)
제조업 146
 
12.4%
및 141
 
12.0%
외 91
 
7.7%
가공 62
 
5.3%
저장 61
 
5.2%
처리업 61
 
5.2%
수산식물 51
 
4.3%
1종 42
 
3.6%
수산동물 27
 
2.3%
기타 26
 
2.2%
Other values (180) 470
39.9%
2023-12-12T17:38:29.772772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
945
24.9%
업 240
 
6.3%
조 193
 
5.1%
제 185
 
4.9%
및 141
 
3.7%
물 104
 
2.7%
장 101
 
2.7%
외 93
 
2.4%
산 87
 
2.3%
종 87
 
2.3%
Other values (187) 1621
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2739
72.1%
Space Separator 945
 
24.9%
Decimal Number 89
 
2.3%
Other Punctuation 20
 
0.5%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 240
 
8.8%
조 193
 
7.0%
제 185
 
6.8%
및 141
 
5.1%
물 104
 
3.8%
장 101
 
3.7%
외 93
 
3.4%
산 87
 
3.2%
종 87
 
3.2%
수 84
 
3.1%
Other values (175) 1424
52.0%
Decimal Number
ValueCountFrequency (%)
1 45
50.6%
2 18
 
20.2%
3 10
 
11.2%
4 6
 
6.7%
6 5
 
5.6%
5 4
 
4.5%
8 1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
, 18
90.0%
. 2
 
10.0%
Space Separator
ValueCountFrequency (%)
945
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2739
72.1%
Common 1058
 
27.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 240
 
8.8%
조 193
 
7.0%
제 185
 
6.8%
및 141
 
5.1%
물 104
 
3.8%
장 101
 
3.7%
외 93
 
3.4%
산 87
 
3.2%
종 87
 
3.2%
수 84
 
3.1%
Other values (175) 1424
52.0%
Common
ValueCountFrequency (%)
945
89.3%
1 45
 
4.3%
, 18
 
1.7%
2 18
 
1.7%
3 10
 
0.9%
4 6
 
0.6%
6 5
 
0.5%
5 4
 
0.4%
. 2
 
0.2%
) 2
 
0.2%
Other values (2) 3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2735
72.0%
ASCII 1058
 
27.9%
Compat Jamo 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
945
89.3%
1 45
 
4.3%
, 18
 
1.7%
2 18
 
1.7%
3 10
 
0.9%
4 6
 
0.6%
6 5
 
0.5%
5 4
 
0.4%
. 2
 
0.2%
) 2
 
0.2%
Other values (2) 3
 
0.3%
Hangul
ValueCountFrequency (%)
업 240
 
8.8%
조 193
 
7.1%
제 185
 
6.8%
및 141
 
5.2%
물 104
 
3.8%
장 101
 
3.7%
외 93
 
3.4%
산 87
 
3.2%
종 87
 
3.2%
수 84
 
3.1%
Other values (174) 1420
51.9%
Compat Jamo
ValueCountFrequency (%)
ㆍ 4
100.0%

생산품
Text

Distinct169
Distinct (%)72.5%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T17:38:30.095900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length23
Mean length7.0772532
Min length1

Characters and Unicode

Total characters1649
Distinct characters289
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

Unique152 ?
Unique (%)65.2%

Sample

1st row폴리스티렌
2nd row마스크, 밴드
3rd row화장품원료
4th row냉동식품(핫도그)
5th row물류자동화설비
ValueCountFrequency (%)
마른김 18
 
5.6%
조미김 16
 
5.0%
건멸치 9
 
2.8%
및 6
 
1.9%
자동차 5
 
1.5%
김 5
 
1.5%
마른멸치 4
 
1.2%
건조김 4
 
1.2%
부품 4
 
1.2%
등 4
 
1.2%
Other values (218) 248
76.8%
2023-12-12T17:38:30.626859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 117
 
7.1%
94
 
5.7%
김 60
 
3.6%
조 38
 
2.3%
기 37
 
2.2%
건 33
 
2.0%
미 32
 
1.9%
동 30
 
1.8%
마 29
 
1.8%
치 26
 
1.6%
Other values (279) 1153
69.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1397
84.7%
Other Punctuation 122
 
7.4%
Space Separator 94
 
5.7%
Uppercase Letter 13
 
0.8%
Close Punctuation 8
 
0.5%
Open Punctuation 8
 
0.5%
Decimal Number 4
 
0.2%
Lowercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 60
 
4.3%
조 38
 
2.7%
기 37
 
2.6%
건 33
 
2.4%
미 32
 
2.3%
동 30
 
2.1%
마 29
 
2.1%
치 26
 
1.9%
품 25
 
1.8%
른 25
 
1.8%
Other values (261) 1062
76.0%
Uppercase Letter
ValueCountFrequency (%)
F 3
23.1%
E 2
15.4%
D 2
15.4%
L 2
15.4%
P 2
15.4%
R 2
15.4%
Decimal Number
ValueCountFrequency (%)
2 1
25.0%
5 1
25.0%
8 1
25.0%
1 1
25.0%
Lowercase Letter
ValueCountFrequency (%)
p 1
33.3%
r 1
33.3%
f 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 117
95.9%
. 5
 
4.1%
Space Separator
ValueCountFrequency (%)
94
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1397
84.7%
Common 236
 
14.3%
Latin 16
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 60
 
4.3%
조 38
 
2.7%
기 37
 
2.6%
건 33
 
2.4%
미 32
 
2.3%
동 30
 
2.1%
마 29
 
2.1%
치 26
 
1.9%
품 25
 
1.8%
른 25
 
1.8%
Other values (261) 1062
76.0%
Common
ValueCountFrequency (%)
, 117
49.6%
94
39.8%
) 8
 
3.4%
( 8
 
3.4%
. 5
 
2.1%
2 1
 
0.4%
5 1
 
0.4%
8 1
 
0.4%
1 1
 
0.4%
Latin
ValueCountFrequency (%)
F 3
18.8%
E 2
12.5%
D 2
12.5%
L 2
12.5%
P 2
12.5%
R 2
12.5%
p 1
 
6.2%
r 1
 
6.2%
f 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1397
84.7%
ASCII 252
 
15.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 117
46.4%
94
37.3%
) 8
 
3.2%
( 8
 
3.2%
. 5
 
2.0%
F 3
 
1.2%
E 2
 
0.8%
D 2
 
0.8%
L 2
 
0.8%
P 2
 
0.8%
Other values (8) 9
 
3.6%
Hangul
ValueCountFrequency (%)
김 60
 
4.3%
조 38
 
2.7%
기 37
 
2.6%
건 33
 
2.4%
미 32
 
2.3%
동 30
 
2.1%
마 29
 
2.1%
치 26
 
1.9%
품 25
 
1.8%
른 25
 
1.8%
Other values (261) 1062
76.0%

최초등록일
Date

Distinct216
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum1936-06-15 00:00:00
Maximum2022-07-25 00:00:00
2023-12-12T17:38:30.823358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:31.021475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

부지면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct212
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8119.161
Minimum0
Maximum176316
Zeros7
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T17:38:31.212709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile358.668
Q11633
median2990
Q36747
95-th percentile27962.72
Maximum176316
Range176316
Interquartile range (IQR)5114

Descriptive statistics

Standard deviation18631.057
Coefficient of variation (CV)2.2947022
Kurtosis42.275204
Mean8119.161
Median Absolute Deviation (MAD)2135
Skewness5.9773149
Sum1891764.5
Variance3.4711628 × 108
MonotonicityNot monotonic
2023-12-12T17:38:31.436647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7
 
3.0%
3306.0 5
 
2.1%
2990.0 3
 
1.3%
1811.0 2
 
0.9%
3883.0 2
 
0.9%
1653.0 2
 
0.9%
1460.0 2
 
0.9%
4455.0 2
 
0.9%
2433.0 2
 
0.9%
802.0 2
 
0.9%
Other values (202) 204
87.6%
ValueCountFrequency (%)
0.0 7
3.0%
167.0 1
 
0.4%
181.66 1
 
0.4%
198.0 1
 
0.4%
231.0 1
 
0.4%
330.0 1
 
0.4%
377.78 1
 
0.4%
390.0 1
 
0.4%
400.0 1
 
0.4%
468.33 1
 
0.4%
ValueCountFrequency (%)
176316.0 1
0.4%
131367.0 1
0.4%
106522.0 1
0.4%
106424.0 1
0.4%
62534.0 1
0.4%
45335.4 1
0.4%
43572.0 1
0.4%
41851.0 1
0.4%
38151.5 1
0.4%
33702.2 1
0.4%

종업원수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct46
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.67382
Minimum0
Maximum350
Zeros3
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T17:38:31.641551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.6
Q14
median7
Q315
95-th percentile58.4
Maximum350
Range350
Interquartile range (IQR)11

Descriptive statistics

Standard deviation42.796592
Coefficient of variation (CV)2.2917964
Kurtosis33.663131
Mean18.67382
Median Absolute Deviation (MAD)4
Skewness5.4621415
Sum4351
Variance1831.5483
MonotonicityNot monotonic
2023-12-12T17:38:31.848331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
5 28
 
12.0%
4 25
 
10.7%
2 18
 
7.7%
10 16
 
6.9%
3 16
 
6.9%
6 13
 
5.6%
12 11
 
4.7%
15 9
 
3.9%
1 9
 
3.9%
20 8
 
3.4%
Other values (36) 80
34.3%
ValueCountFrequency (%)
0 3
 
1.3%
1 9
 
3.9%
2 18
7.7%
3 16
6.9%
4 25
10.7%
5 28
12.0%
6 13
5.6%
7 8
 
3.4%
8 6
 
2.6%
9 4
 
1.7%
ValueCountFrequency (%)
350 1
0.4%
334 1
0.4%
252 1
0.4%
216 1
0.4%
170 1
0.4%
160 1
0.4%
152 1
0.4%
116 1
0.4%
106 1
0.4%
70 2
0.9%

전화번호
Text

MISSING 

Distinct173
Distinct (%)89.6%
Missing40
Missing (%)17.2%
Memory size1.9 KiB
2023-12-12T17:38:32.147290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.005181
Min length12

Characters and Unicode

Total characters2317
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

Unique156 ?
Unique (%)80.8%

Sample

1st row041-957-9007
2nd row041-956-2711
3rd row041-957-9911
4th row041-956-7171
5th row070-7432-1451
ValueCountFrequency (%)
041-953-7421 3
 
1.6%
041-955-8100 3
 
1.6%
041-956-0372 3
 
1.6%
041-957-0559 2
 
1.0%
041-953-5101 2
 
1.0%
041-952-9888 2
 
1.0%
041-953-2327 2
 
1.0%
041-956-7100 2
 
1.0%
041-956-3711 2
 
1.0%
041-956-8808 2
 
1.0%
Other values (163) 170
88.1%
2023-12-12T17:38:32.609024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 386
16.7%
1 318
13.7%
0 301
13.0%
5 259
11.2%
4 251
10.8%
9 246
10.6%
3 125
 
5.4%
2 120
 
5.2%
6 113
 
4.9%
8 104
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1931
83.3%
Dash Punctuation 386
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 318
16.5%
0 301
15.6%
5 259
13.4%
4 251
13.0%
9 246
12.7%
3 125
 
6.5%
2 120
 
6.2%
6 113
 
5.9%
8 104
 
5.4%
7 94
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 386
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2317
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 386
16.7%
1 318
13.7%
0 301
13.0%
5 259
11.2%
4 251
10.8%
9 246
10.6%
3 125
 
5.4%
2 120
 
5.2%
6 113
 
4.9%
8 104
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2317
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 386
16.7%
1 318
13.7%
0 301
13.0%
5 259
11.2%
4 251
10.8%
9 246
10.6%
3 125
 
5.4%
2 120
 
5.2%
6 113
 
4.9%
8 104
 
4.5%

팩스번호
Text

MISSING 

Distinct129
Distinct (%)91.5%
Missing92
Missing (%)39.5%
Memory size1.9 KiB
2023-12-12T17:38:32.973314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.035461
Min length12

Characters and Unicode

Total characters1697
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

Unique118 ?
Unique (%)83.7%

Sample

1st row031-352-3183
2nd row041-956-2791
3rd row041-957-9922
4th row041-956-7170
5th row070-7427-1455
ValueCountFrequency (%)
041-951-6663 3
 
2.1%
041-957-0372 2
 
1.4%
041-950-6669 2
 
1.4%
041-952-7422 2
 
1.4%
041-951-2067 2
 
1.4%
041-956-7103 2
 
1.4%
041-956-3716 2
 
1.4%
041-956-8161 2
 
1.4%
041-956-1435 2
 
1.4%
041-956-7170 2
 
1.4%
Other values (119) 120
85.1%
2023-12-12T17:38:33.928634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 282
16.6%
1 216
12.7%
0 205
12.1%
5 190
11.2%
9 180
10.6%
4 177
10.4%
6 110
 
6.5%
2 101
 
6.0%
3 90
 
5.3%
7 84
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1415
83.4%
Dash Punctuation 282
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 216
15.3%
0 205
14.5%
5 190
13.4%
9 180
12.7%
4 177
12.5%
6 110
7.8%
2 101
7.1%
3 90
6.4%
7 84
 
5.9%
8 62
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 282
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1697
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 282
16.6%
1 216
12.7%
0 205
12.1%
5 190
11.2%
9 180
10.6%
4 177
10.4%
6 110
 
6.5%
2 101
 
6.0%
3 90
 
5.3%
7 84
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1697
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 282
16.6%
1 216
12.7%
0 205
12.1%
5 190
11.2%
9 180
10.6%
4 177
10.4%
6 110
 
6.5%
2 101
 
6.0%
3 90
 
5.3%
7 84
 
4.9%

데이터 기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2022-09-01 00:00:00
Maximum2022-09-01 00:00:00
2023-12-12T17:38:34.070557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:34.213627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T17:38:25.192136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:24.966814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:25.296576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:25.072056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:38:34.328067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
입주유형부지면적(제곱미터)종업원수
입주유형1.0000.3370.077
부지면적(제곱미터)0.3371.0000.797
종업원수0.0770.7971.000
2023-12-12T17:38:34.452572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부지면적(제곱미터)종업원수입주유형
부지면적(제곱미터)1.0000.5650.123
종업원수0.5651.0000.037
입주유형0.1230.0371.000

Missing values

2023-12-12T17:38:25.460463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:38:25.717901image/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.
2023-12-12T17:38:25.841334image/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

입주유형기업체명대표자명공장대표주소업종명생산품최초등록일부지면적(제곱미터)종업원수전화번호팩스번호데이터 기준일자
0장항국가생태산업단지(주)삼일이노팩 서해공장최용석충청남도 서천군 장항읍 옥남리 1022폴리스티렌 발포 성형제품 제조업폴리스티렌2022-05-266373.015041-957-9007031-352-31832022-09-01
1장항국가생태산업단지(주)아이미코리아엠에스변영훈충청남도 서천군 장항읍 장항산단5길 20의료용품 및 기타 의약 관련제품 제조업마스크, 밴드2021-12-236052.021041-956-2711041-956-27912022-09-01
2장항국가생태산업단지(주)에이에스텍윤종배충청남도 서천군 장항읍 옥남리 1010그 외 기타 분류 안된 화학제품 제조업화장품원료2021-02-2333702.223041-957-9911041-957-99222022-09-01
3장항국가생태산업단지(주)우양 서천공장이구열충청남도 서천군 장항읍 옥남리 1040빵류 제조업냉동식품(핫도그)2020-09-2238151.525041-956-7171041-956-71702022-09-01
4장항국가생태산업단지(주)티에스피지김남욱충청남도 서천군 장항읍 장항산단9길 41그 외 기타 1차 철강 제조업물류자동화설비2020-04-299289.911070-7432-1451070-7427-14552022-09-01
5장항국가생태산업단지(주)해성푸드원금석헌충청남도 서천군 장항읍 옥남리 1033가금류 가공 및 저장 처리업 외 4종식료품2020-05-1321694.042041-956-8130041-956-81612022-09-01
6장항국가생태산업단지(주)허스델리허성윤충청남도 서천군 장항읍 장항산단23길 5가금류 가공 및 저장 처리업 외 1종육류가공2022-06-3021461.054041-956-8118043-652-85582022-09-01
7장항국가생태산업단지굿바이카(주)남준희충청남도 서천군 장항읍 장항산단9길 7합성수지선 건조업 외 3종보트2019-05-248240.511031-875-2500031-829-12352022-09-01
8장항국가생태산업단지선진뷰티사이언스(주)이성호충청남도 서천군 장항읍 장항산단북로 11기타 기초 무기 화학물질 제조업 외 2종화장품원료2021-01-2245335.470041-957-1081041-957-10822022-09-01
9장항국가생태산업단지한국물류설비제작소(주)김동환충청남도 서천군 장항읍 장항산단12길 7컨베이어장치 제조업물류자동화설비2003-04-037886.815041-956-1539032-830-48372022-09-01
입주유형기업체명대표자명공장대표주소업종명생산품최초등록일부지면적(제곱미터)종업원수전화번호팩스번호데이터 기준일자
223개별입지해가마을영농조합법인오세인충청남도 서천군 마서면 합전길 72장류 제조업된장,피클2010-10-29670.01041-952-6404<NA>2022-09-01
224개별입지해돋이맛김이상현충청남도 서천군 서면 공암남촌길 124-7수산식물 가공 및 저장 처리업조미김2009-04-221633.01041-952-2762<NA>2022-09-01
225개별입지해락원 영어조합법인박준길충청남도 서천군 비인면 비인로201번길 79수산식물 가공 및 저장 처리업조미김2013-12-063104.01041-952-8863<NA>2022-09-01
226개별입지해밀수산임성식충청남도 서천군 비인면 갯벌체험로 837 (해밀수산) (총 2 필지)수산식물 가공 및 저장 처리업마른김2015-07-272990.02041-951-2411<NA>2022-09-01
227개별입지해영수산김호용충청남도 서천군 서면 부원길 527수산동물 건조 및 염장품 제조업마른멸치2011-08-171600.06<NA><NA>2022-09-01
228개별입지해인영어조합법인박병대충청남도 서천군 비인면 충서로 1300-1수산식물 가공 및 저장 처리업 외 1종까나리액젓,조미김2010-09-282169.015041-952-9363041-952-93622022-09-01
229개별입지현대수산이맹렬충청남도 서천군 비인면 갯벌체험로 929 (현대수산)수산식물 가공 및 저장 처리업마른김2011-08-312135.02<NA><NA>2022-09-01
230개별입지형제수산최선순, 최선경충청남도 서천군 마서면 장천로 907수산식물 가공 및 저장 처리업마른김2014-04-175178.05<NA><NA>2022-09-01
231개별입지화영식품김항태충청남도 서천군 서면 도둔길 83면류, 마카로니 및 유사식품 제조업 외 1종생칼국수,김칼국수,새우칼국수2011-03-291460.04041-952-2271041-952-22722022-09-01
232개별입지희리산 다원박영례충청남도 서천군 종천면 산천길106번길 11장류 제조업 외 1종된장,고추장,매실,오미자,녹차20110329674.04041-953-9705<NA>2022-09-01