Overview

Dataset statistics

Number of variables7
Number of observations199
Missing cells35
Missing cells (%)2.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.2 KiB
Average record size in memory57.6 B

Variable types

Numeric1
Categorical1
Text5

Dataset

Description충청남도 보령시 산업단지입주기업체현황(산업단지명, 기업명, 사업자등록번호, 전화번호)에 관한 데이터를 제공하고 있습니다.
Author충청남도 보령시
URLhttps://www.data.go.kr/data/15030526/fileData.do

Alerts

연번 is highly overall correlated with 단지명High correlation
단지명 is highly overall correlated with 연번High correlation
전화번호 has 35 (17.6%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 17:37:40.103496
Analysis finished2024-03-14 17:37:41.940910
Duration1.84 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct199
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100
Minimum1
Maximum199
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-03-15T02:37:42.194081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.9
Q150.5
median100
Q3149.5
95-th percentile189.1
Maximum199
Range198
Interquartile range (IQR)99

Descriptive statistics

Standard deviation57.590508
Coefficient of variation (CV)0.57590508
Kurtosis-1.2
Mean100
Median Absolute Deviation (MAD)50
Skewness0
Sum19900
Variance3316.6667
MonotonicityStrictly increasing
2024-03-15T02:37:42.713934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
138 1
 
0.5%
128 1
 
0.5%
129 1
 
0.5%
130 1
 
0.5%
131 1
 
0.5%
132 1
 
0.5%
133 1
 
0.5%
134 1
 
0.5%
135 1
 
0.5%
Other values (189) 189
95.0%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
199 1
0.5%
198 1
0.5%
197 1
0.5%
196 1
0.5%
195 1
0.5%
194 1
0.5%
193 1
0.5%
192 1
0.5%
191 1
0.5%
190 1
0.5%

단지명
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
보령웅천농공단지
44 
보령웅천석재농공단지
29 
보령청소농공단지
28 
보령관창일반산업단지
22 
보령주포제2농공단지
20 
Other values (5)
56 

Length

Max length10
Median length8
Mean length8.7437186
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
보령웅천농공단지 44
22.1%
보령웅천석재농공단지 29
14.6%
보령청소농공단지 28
14.1%
보령관창일반산업단지 22
11.1%
보령주포제2농공단지 20
10.1%
보령주포농공단지 20
10.1%
보령요암농공단지 17
 
8.5%
웅천일반산업단지 12
 
6.0%
보령주산농공단지 4
 
2.0%
보령관창지방산업단지 3
 
1.5%

Length

2024-03-15T02:37:43.267288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:37:43.681511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보령웅천농공단지 44
22.1%
보령웅천석재농공단지 29
14.6%
보령청소농공단지 28
14.1%
보령관창일반산업단지 22
11.1%
보령주포제2농공단지 20
10.1%
보령주포농공단지 20
10.1%
보령요암농공단지 17
 
8.5%
웅천일반산업단지 12
 
6.0%
보령주산농공단지 4
 
2.0%
보령관창지방산업단지 3
 
1.5%

업체명
Text

Distinct192
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-03-15T02:37:44.756845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length8.040201
Min length2

Characters and Unicode

Total characters1600
Distinct characters230
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique186 ?
Unique (%)93.5%

Sample

1st row(유)엘케이씨푸드
2nd row(주) 에스플랜트
3rd row(주)그루비코스메틱
4th row(주)더쎄를라잇브루잉
5th row(주)정광스틸
ValueCountFrequency (%)
주식회사 34
 
13.0%
제2공장 4
 
1.5%
보령지점 3
 
1.1%
주)동방메디컬 3
 
1.1%
2공장 3
 
1.1%
주)대성테크 2
 
0.8%
주)영흥 2
 
0.8%
한국후꼬꾸(주 2
 
0.8%
예성석재 2
 
0.8%
대흥우드산업(주 2
 
0.8%
Other values (197) 204
78.2%
2024-03-15T02:37:46.219805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 150
 
9.4%
( 113
 
7.1%
) 113
 
7.1%
65
 
4.1%
스 50
 
3.1%
이 47
 
2.9%
사 45
 
2.8%
에 45
 
2.8%
회 41
 
2.6%
식 40
 
2.5%
Other values (220) 891
55.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1287
80.4%
Open Punctuation 113
 
7.1%
Close Punctuation 113
 
7.1%
Space Separator 65
 
4.1%
Decimal Number 13
 
0.8%
Uppercase Letter 7
 
0.4%
Other Symbol 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 150
 
11.7%
스 50
 
3.9%
이 47
 
3.7%
사 45
 
3.5%
에 45
 
3.5%
회 41
 
3.2%
식 40
 
3.1%
대 24
 
1.9%
공 22
 
1.7%
지 20
 
1.6%
Other values (204) 803
62.4%
Uppercase Letter
ValueCountFrequency (%)
S 1
14.3%
C 1
14.3%
O 1
14.3%
L 1
14.3%
Z 1
14.3%
H 1
14.3%
A 1
14.3%
Decimal Number
ValueCountFrequency (%)
2 9
69.2%
3 2
 
15.4%
9 1
 
7.7%
6 1
 
7.7%
Open Punctuation
ValueCountFrequency (%)
( 113
100.0%
Close Punctuation
ValueCountFrequency (%)
) 113
100.0%
Space Separator
ValueCountFrequency (%)
65
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1288
80.5%
Common 305
 
19.1%
Latin 7
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 150
 
11.6%
스 50
 
3.9%
이 47
 
3.6%
사 45
 
3.5%
에 45
 
3.5%
회 41
 
3.2%
식 40
 
3.1%
대 24
 
1.9%
공 22
 
1.7%
지 20
 
1.6%
Other values (205) 804
62.4%
Common
ValueCountFrequency (%)
( 113
37.0%
) 113
37.0%
65
21.3%
2 9
 
3.0%
3 2
 
0.7%
9 1
 
0.3%
6 1
 
0.3%
& 1
 
0.3%
Latin
ValueCountFrequency (%)
S 1
14.3%
C 1
14.3%
O 1
14.3%
L 1
14.3%
Z 1
14.3%
H 1
14.3%
A 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1287
80.4%
ASCII 312
 
19.5%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 150
 
11.7%
스 50
 
3.9%
이 47
 
3.7%
사 45
 
3.5%
에 45
 
3.5%
회 41
 
3.2%
식 40
 
3.1%
대 24
 
1.9%
공 22
 
1.7%
지 20
 
1.6%
Other values (204) 803
62.4%
ASCII
ValueCountFrequency (%)
( 113
36.2%
) 113
36.2%
65
20.8%
2 9
 
2.9%
3 2
 
0.6%
S 1
 
0.3%
C 1
 
0.3%
9 1
 
0.3%
6 1
 
0.3%
& 1
 
0.3%
Other values (5) 5
 
1.6%
None
ValueCountFrequency (%)
㈜ 1
100.0%

사업자등록번호
Text

Distinct182
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-03-15T02:37:47.176723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters2388
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

Unique167 ?
Unique (%)83.9%

Sample

1st row567-81-00176
2nd row399-87-01292
3rd row594-81-01221
4th row585-86-00669
5th row362-88-00304
ValueCountFrequency (%)
313-81-10683 3
 
1.5%
313-81-32635 3
 
1.5%
806-71-00349 2
 
1.0%
134-81-05893 2
 
1.0%
313-81-26360 2
 
1.0%
609-81-02065 2
 
1.0%
313-81-18496 2
 
1.0%
222-85-12307 2
 
1.0%
313-81-16275 2
 
1.0%
313-81-25584 2
 
1.0%
Other values (172) 177
88.9%
2024-03-15T02:37:48.414391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 398
16.7%
1 373
15.6%
3 322
13.5%
8 270
11.3%
0 231
9.7%
2 171
7.2%
6 159
 
6.7%
5 136
 
5.7%
4 126
 
5.3%
7 106
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1990
83.3%
Dash Punctuation 398
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 373
18.7%
3 322
16.2%
8 270
13.6%
0 231
11.6%
2 171
8.6%
6 159
8.0%
5 136
 
6.8%
4 126
 
6.3%
7 106
 
5.3%
9 96
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 398
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2388
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 398
16.7%
1 373
15.6%
3 322
13.5%
8 270
11.3%
0 231
9.7%
2 171
7.2%
6 159
 
6.7%
5 136
 
5.7%
4 126
 
5.3%
7 106
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2388
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 398
16.7%
1 373
15.6%
3 322
13.5%
8 270
11.3%
0 231
9.7%
2 171
7.2%
6 159
 
6.7%
5 136
 
5.7%
4 126
 
5.3%
7 106
 
4.4%

주소
Text

Distinct172
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-03-15T02:37:49.966635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length38
Mean length24.366834
Min length15

Characters and Unicode

Total characters4849
Distinct characters90
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique150 ?
Unique (%)75.4%

Sample

1st row충청남도 보령시 웅천읍 구룡리 958
2nd row충청남도 보령시 웅천읍 구룡리 912
3rd row충청남도 보령시 웅천읍 구룡리 941
4th row충청남도 보령시 웅천읍 구룡리 955 외 2필지
5th row충청남도 보령시 웅천읍 구룡리 943 외 1필지
ValueCountFrequency (%)
충청남도 199
18.7%
보령시 199
18.7%
웅천읍 84
 
7.9%
구룡리 54
 
5.1%
관산리 36
 
3.4%
주포면 35
 
3.3%
장곡리 31
 
2.9%
주교면 30
 
2.8%
대창리 30
 
2.8%
청소면 28
 
2.6%
Other values (183) 340
31.9%
2024-03-15T02:37:51.696889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
867
17.9%
청 227
 
4.7%
1 207
 
4.3%
보 200
 
4.1%
령 199
 
4.1%
시 199
 
4.1%
충 199
 
4.1%
도 199
 
4.1%
남 199
 
4.1%
리 192
 
4.0%
Other values (80) 2161
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2993
61.7%
Space Separator 867
 
17.9%
Decimal Number 810
 
16.7%
Dash Punctuation 147
 
3.0%
Open Punctuation 15
 
0.3%
Close Punctuation 15
 
0.3%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 227
 
7.6%
보 200
 
6.7%
령 199
 
6.6%
시 199
 
6.6%
충 199
 
6.6%
도 199
 
6.6%
남 199
 
6.6%
리 192
 
6.4%
지 173
 
5.8%
번 148
 
4.9%
Other values (65) 1058
35.3%
Decimal Number
ValueCountFrequency (%)
1 207
25.6%
2 154
19.0%
6 81
 
10.0%
9 70
 
8.6%
7 67
 
8.3%
3 57
 
7.0%
0 55
 
6.8%
5 48
 
5.9%
4 46
 
5.7%
8 25
 
3.1%
Space Separator
ValueCountFrequency (%)
867
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 147
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2993
61.7%
Common 1856
38.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 227
 
7.6%
보 200
 
6.7%
령 199
 
6.6%
시 199
 
6.6%
충 199
 
6.6%
도 199
 
6.6%
남 199
 
6.6%
리 192
 
6.4%
지 173
 
5.8%
번 148
 
4.9%
Other values (65) 1058
35.3%
Common
ValueCountFrequency (%)
867
46.7%
1 207
 
11.2%
2 154
 
8.3%
- 147
 
7.9%
6 81
 
4.4%
9 70
 
3.8%
7 67
 
3.6%
3 57
 
3.1%
0 55
 
3.0%
5 48
 
2.6%
Other values (5) 103
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2993
61.7%
ASCII 1856
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
867
46.7%
1 207
 
11.2%
2 154
 
8.3%
- 147
 
7.9%
6 81
 
4.4%
9 70
 
3.8%
7 67
 
3.6%
3 57
 
3.1%
0 55
 
3.0%
5 48
 
2.6%
Other values (5) 103
 
5.5%
Hangul
ValueCountFrequency (%)
청 227
 
7.6%
보 200
 
6.7%
령 199
 
6.6%
시 199
 
6.6%
충 199
 
6.6%
도 199
 
6.6%
남 199
 
6.6%
리 192
 
6.4%
지 173
 
5.8%
번 148
 
4.9%
Other values (65) 1058
35.3%

주생산품
Text

Distinct176
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-03-15T02:37:52.496060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length32
Mean length10.386935
Min length2

Characters and Unicode

Total characters2067
Distinct characters330
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

Unique167 ?
Unique (%)83.9%

Sample

1st row수산가공품
2nd row비계(가설)+지지대
3rd row전기용품+미용기기+화장품+소독제
4th row수제맥주
5th row철근 절단+가공품
ValueCountFrequency (%)
등 14
 
4.6%
및 13
 
4.3%
조미김 8
 
2.6%
석재품 6
 
2.0%
자동차부품 5
 
1.7%
석제품 4
 
1.3%
플라이애쉬 3
 
1.0%
부품 3
 
1.0%
외 3
 
1.0%
알루미늄 3
 
1.0%
Other values (227) 241
79.5%
2024-03-15T02:37:53.863477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 163
 
7.9%
104
 
5.0%
품 58
 
2.8%
기 47
 
2.3%
장 37
 
1.8%
제 36
 
1.7%
조 35
 
1.7%
용 32
 
1.5%
리 31
 
1.5%
자 31
 
1.5%
Other values (320) 1493
72.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1649
79.8%
Math Symbol 163
 
7.9%
Space Separator 104
 
5.0%
Uppercase Letter 87
 
4.2%
Lowercase Letter 29
 
1.4%
Close Punctuation 13
 
0.6%
Open Punctuation 13
 
0.6%
Decimal Number 8
 
0.4%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 58
 
3.5%
기 47
 
2.9%
장 37
 
2.2%
제 36
 
2.2%
조 35
 
2.1%
용 32
 
1.9%
리 31
 
1.9%
자 31
 
1.9%
재 30
 
1.8%
전 30
 
1.8%
Other values (281) 1282
77.7%
Uppercase Letter
ValueCountFrequency (%)
C 20
23.0%
D 10
11.5%
V 10
11.5%
E 9
10.3%
T 8
 
9.2%
L 6
 
6.9%
P 5
 
5.7%
R 4
 
4.6%
F 3
 
3.4%
O 2
 
2.3%
Other values (8) 10
11.5%
Lowercase Letter
ValueCountFrequency (%)
e 5
17.2%
l 4
13.8%
p 4
13.8%
r 3
10.3%
c 3
10.3%
y 2
 
6.9%
u 2
 
6.9%
m 2
 
6.9%
a 2
 
6.9%
o 1
 
3.4%
Decimal Number
ValueCountFrequency (%)
6 4
50.0%
5 1
 
12.5%
0 1
 
12.5%
1 1
 
12.5%
2 1
 
12.5%
Math Symbol
ValueCountFrequency (%)
+ 163
100.0%
Space Separator
ValueCountFrequency (%)
104
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1649
79.8%
Common 302
 
14.6%
Latin 116
 
5.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 58
 
3.5%
기 47
 
2.9%
장 37
 
2.2%
제 36
 
2.2%
조 35
 
2.1%
용 32
 
1.9%
리 31
 
1.9%
자 31
 
1.9%
재 30
 
1.8%
전 30
 
1.8%
Other values (281) 1282
77.7%
Latin
ValueCountFrequency (%)
C 20
17.2%
D 10
 
8.6%
V 10
 
8.6%
E 9
 
7.8%
T 8
 
6.9%
L 6
 
5.2%
P 5
 
4.3%
e 5
 
4.3%
l 4
 
3.4%
p 4
 
3.4%
Other values (19) 35
30.2%
Common
ValueCountFrequency (%)
+ 163
54.0%
104
34.4%
) 13
 
4.3%
( 13
 
4.3%
6 4
 
1.3%
- 1
 
0.3%
5 1
 
0.3%
0 1
 
0.3%
1 1
 
0.3%
2 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1649
79.8%
ASCII 418
 
20.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 163
39.0%
104
24.9%
C 20
 
4.8%
) 13
 
3.1%
( 13
 
3.1%
D 10
 
2.4%
V 10
 
2.4%
E 9
 
2.2%
T 8
 
1.9%
L 6
 
1.4%
Other values (29) 62
 
14.8%
Hangul
ValueCountFrequency (%)
품 58
 
3.5%
기 47
 
2.9%
장 37
 
2.2%
제 36
 
2.2%
조 35
 
2.1%
용 32
 
1.9%
리 31
 
1.9%
자 31
 
1.9%
재 30
 
1.8%
전 30
 
1.8%
Other values (281) 1282
77.7%

전화번호
Text

MISSING 

Distinct146
Distinct (%)89.0%
Missing35
Missing (%)17.6%
Memory size1.7 KiB
2024-03-15T02:37:55.098889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12
Min length11

Characters and Unicode

Total characters1968
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

Unique133 ?
Unique (%)81.1%

Sample

1st row063-446-5037
2nd row070-7777-8565
3rd row02-839-1588
4th row063-462-0771
5th row063-471-4114
ValueCountFrequency (%)
041-933-4227 4
 
2.4%
031-494-9271 3
 
1.8%
041-934-5520 3
 
1.8%
041-932-3678 3
 
1.8%
041-931-6356 2
 
1.2%
041-935-8595 2
 
1.2%
041-932-9804 2
 
1.2%
041-935-4177 2
 
1.2%
041-933-9592 2
 
1.2%
041-934-3652 2
 
1.2%
Other values (136) 139
84.8%
2024-03-15T02:37:57.382759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 328
16.7%
1 264
13.4%
0 263
13.4%
3 241
12.2%
4 236
12.0%
9 205
10.4%
2 94
 
4.8%
5 94
 
4.8%
6 91
 
4.6%
7 77
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1640
83.3%
Dash Punctuation 328
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 264
16.1%
0 263
16.0%
3 241
14.7%
4 236
14.4%
9 205
12.5%
2 94
 
5.7%
5 94
 
5.7%
6 91
 
5.5%
7 77
 
4.7%
8 75
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 328
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1968
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 328
16.7%
1 264
13.4%
0 263
13.4%
3 241
12.2%
4 236
12.0%
9 205
10.4%
2 94
 
4.8%
5 94
 
4.8%
6 91
 
4.6%
7 77
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 328
16.7%
1 264
13.4%
0 263
13.4%
3 241
12.2%
4 236
12.0%
9 205
10.4%
2 94
 
4.8%
5 94
 
4.8%
6 91
 
4.6%
7 77
 
3.9%

Interactions

2024-03-15T02:37:40.912051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T02:37:57.974045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번단지명
연번1.0000.988
단지명0.9881.000
2024-03-15T02:37:58.355953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번단지명
연번1.0000.806
단지명0.8061.000

Missing values

2024-03-15T02:37:41.332625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T02:37:41.767849image/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

연번단지명업체명사업자등록번호주소주생산품전화번호
01웅천일반산업단지(유)엘케이씨푸드567-81-00176충청남도 보령시 웅천읍 구룡리 958수산가공품063-446-5037
12웅천일반산업단지(주) 에스플랜트399-87-01292충청남도 보령시 웅천읍 구룡리 912비계(가설)+지지대<NA>
23웅천일반산업단지(주)그루비코스메틱594-81-01221충청남도 보령시 웅천읍 구룡리 941전기용품+미용기기+화장품+소독제070-7777-8565
34웅천일반산업단지(주)더쎄를라잇브루잉585-86-00669충청남도 보령시 웅천읍 구룡리 955 외 2필지수제맥주02-839-1588
45웅천일반산업단지(주)정광스틸362-88-00304충청남도 보령시 웅천읍 구룡리 943 외 1필지철근 절단+가공품063-462-0771
56웅천일반산업단지(주)창신스틸533-86-01143충청남도 보령시 웅천읍 구룡리 921철근가공품063-471-4114
67웅천일반산업단지(주)파란해215-86-91183충청남도 보령시 웅천읍 구룡리 940건어물02-430-8899
78웅천일반산업단지(주)해청정383-87-01415충청남도 보령시 웅천읍 구룡리 958-2 외 1필지해조류 가공061-554-6500
89웅천일반산업단지금하에스앤씨233-88-00724충청남도 보령시 웅천읍 구룡리 927 외 1필지철강선+철골재 등<NA>
910웅천일반산업단지어업회사법인 대보(주)748-87-02493충청남도 보령시 웅천읍 구룡리 957-1수산물 및 가공식품냉동<NA>
연번단지명업체명사업자등록번호주소주생산품전화번호
189190보령관창일반산업단지에스앤에스아이엔씨313-85-04461충청남도 보령시 주교면 관창리 1224-12자동차6단기어 단조품041-931-6320
190191보령관창일반산업단지에스앤티모티브(주)보령공장313-85-02444충청남도 보령시 주교면 관창리 1227-6번지자동차부품041-931-8163
191192보령관창일반산업단지열린수산313-81-18759충청남도 보령시 주교면 관창리 1227-15조미김<NA>
192193보령관창일반산업단지우리기업313-05-31836충청남도 보령시 주교면 관창리 1227-20번지철 구조물 제작<NA>
193194보령관창일반산업단지제우피엔씨(주)125-81-11090충청남도 보령시 주교면 관창리 1224-9번지 외 2필지도복장강관041-935-0678
194195보령관창일반산업단지주식회사 이건313-81-04600충청남도 보령시 주교면 관창리 1224-14번지자동차부품041-939-8888
195196보령관창일반산업단지코리아휠(주)117-81-32037충청남도 보령시 주교면 관창리 1224-1번지자동차휠041-930-9800
196197보령관창일반산업단지한국지엠 주식회사313-85-03026충청남도 보령시 주교면 관창리 1227-1번지자동변속기041-939-5045
197198보령관창일반산업단지한국후꼬꾸(주)134-81-05893충청남도 보령시 주교면 관창리 1225-1 외 1필지자동차부품(댐퍼플리+와이퍼블래이드)031-494-9271
198199보령관창일반산업단지한국후꼬꾸(주)134-81-05893충청남도 보령시 주교면 관창리 1224-8 번지Damper Pulley용 주물031-494-9271