Overview

Dataset statistics

Number of variables9
Number of observations258
Missing cells206
Missing cells (%)8.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.5 KiB
Average record size in memory73.5 B

Variable types

Text7
Numeric1
DateTime1

Dataset

Description충청남도 서천군 기업체 현황 데이터를 제공합니다.(기업체명, 대표자명, 공장대표주소, 종업원수, 생산품, 전화번호, 팩스번호 등 )을 제공하고 있습니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=39&beforeMenuCd=DOM_000000201001001000&publicdatapk=15116546

Alerts

데이터 기준일자 has constant value ""Constant
공장대표주소(도로명) has 8 (3.1%) missing valuesMissing
전화번호 has 70 (27.1%) missing valuesMissing
팩스번호 has 128 (49.6%) missing valuesMissing
종업원수 has 17 (6.6%) zerosZeros

Reproduction

Analysis started2024-01-09 22:49:24.162458
Analysis finished2024-01-09 22:49:25.651186
Duration1.49 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기업체명
Text

Distinct250
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-01-10T07:49:25.832621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length7.9302326
Min length2

Characters and Unicode

Total characters2046
Distinct characters237
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

Unique242 ?
Unique (%)93.8%

Sample

1st row(유)건우
2nd row(유)대호
3rd row(주)군장조선
4th row(주)기업과사람들
5th row(주)남전물산
ValueCountFrequency (%)
주식회사 27
 
7.8%
태양광발전소 14
 
4.0%
유한회사 9
 
2.6%
농업회사법인 8
 
2.3%
제2공장 4
 
1.2%
한생 3
 
0.9%
우일수산(주 3
 
0.9%
명성수산 2
 
0.6%
서천공장 2
 
0.6%
주)일광폴리머 2
 
0.6%
Other values (260) 273
78.7%
2024-01-10T07:49:26.305494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 113
 
5.5%
89
 
4.3%
산 84
 
4.1%
) 77
 
3.8%
( 77
 
3.8%
사 67
 
3.3%
회 56
 
2.7%
식 52
 
2.5%
업 50
 
2.4%
수 48
 
2.3%
Other values (227) 1333
65.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1769
86.5%
Space Separator 89
 
4.3%
Close Punctuation 77
 
3.8%
Open Punctuation 77
 
3.8%
Decimal Number 28
 
1.4%
Other Punctuation 4
 
0.2%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 113
 
6.4%
산 84
 
4.7%
사 67
 
3.8%
회 56
 
3.2%
식 52
 
2.9%
업 50
 
2.8%
수 48
 
2.7%
장 43
 
2.4%
인 36
 
2.0%
공 35
 
2.0%
Other values (215) 1185
67.0%
Decimal Number
ValueCountFrequency (%)
2 12
42.9%
1 8
28.6%
3 6
21.4%
7 1
 
3.6%
4 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 3
75.0%
& 1
 
25.0%
Uppercase Letter
ValueCountFrequency (%)
F 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
89
100.0%
Close Punctuation
ValueCountFrequency (%)
) 77
100.0%
Open Punctuation
ValueCountFrequency (%)
( 77
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1769
86.5%
Common 275
 
13.4%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 113
 
6.4%
산 84
 
4.7%
사 67
 
3.8%
회 56
 
3.2%
식 52
 
2.9%
업 50
 
2.8%
수 48
 
2.7%
장 43
 
2.4%
인 36
 
2.0%
공 35
 
2.0%
Other values (215) 1185
67.0%
Common
ValueCountFrequency (%)
89
32.4%
) 77
28.0%
( 77
28.0%
2 12
 
4.4%
1 8
 
2.9%
3 6
 
2.2%
. 3
 
1.1%
7 1
 
0.4%
& 1
 
0.4%
4 1
 
0.4%
Latin
ValueCountFrequency (%)
F 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1769
86.5%
ASCII 277
 
13.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 113
 
6.4%
산 84
 
4.7%
사 67
 
3.8%
회 56
 
3.2%
식 52
 
2.9%
업 50
 
2.8%
수 48
 
2.7%
장 43
 
2.4%
인 36
 
2.0%
공 35
 
2.0%
Other values (215) 1185
67.0%
ASCII
ValueCountFrequency (%)
89
32.1%
) 77
27.8%
( 77
27.8%
2 12
 
4.3%
1 8
 
2.9%
3 6
 
2.2%
. 3
 
1.1%
7 1
 
0.4%
F 1
 
0.4%
& 1
 
0.4%
Other values (2) 2
 
0.7%

대표자명
Text

Distinct221
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-01-10T07:49:26.538706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length3
Mean length3.3255814
Min length2

Characters and Unicode

Total characters858
Distinct characters159
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

Unique194 ?
Unique (%)75.2%

Sample

1st row조건익
2nd row김우현
3rd row허애숙.고호남
4th row이인숙
5th row이병익, 정석원
ValueCountFrequency (%)
김영근 7
 
2.6%
이인숙 4
 
1.5%
김정림 3
 
1.1%
전기태 3
 
1.1%
이정아 3
 
1.1%
임순균 3
 
1.1%
김병근 2
 
0.7%
진기운 2
 
0.7%
김호성 2
 
0.7%
이재숙 2
 
0.7%
Other values (220) 239
88.5%
2024-01-10T07:49:26.884767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 61
 
7.1%
이 51
 
5.9%
정 29
 
3.4%
영 18
 
2.1%
종 16
 
1.9%
성 16
 
1.9%
재 16
 
1.9%
석 16
 
1.9%
진 15
 
1.7%
호 15
 
1.7%
Other values (149) 605
70.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 830
96.7%
Other Punctuation 14
 
1.6%
Space Separator 12
 
1.4%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 61
 
7.3%
이 51
 
6.1%
정 29
 
3.5%
영 18
 
2.2%
종 16
 
1.9%
성 16
 
1.9%
재 16
 
1.9%
석 16
 
1.9%
진 15
 
1.8%
호 15
 
1.8%
Other values (144) 577
69.5%
Other Punctuation
ValueCountFrequency (%)
, 13
92.9%
. 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 830
96.7%
Common 28
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 61
 
7.3%
이 51
 
6.1%
정 29
 
3.5%
영 18
 
2.2%
종 16
 
1.9%
성 16
 
1.9%
재 16
 
1.9%
석 16
 
1.9%
진 15
 
1.8%
호 15
 
1.8%
Other values (144) 577
69.5%
Common
ValueCountFrequency (%)
, 13
46.4%
12
42.9%
1 1
 
3.6%
2 1
 
3.6%
. 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 830
96.7%
ASCII 28
 
3.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 61
 
7.3%
이 51
 
6.1%
정 29
 
3.5%
영 18
 
2.2%
종 16
 
1.9%
성 16
 
1.9%
재 16
 
1.9%
석 16
 
1.9%
진 15
 
1.8%
호 15
 
1.8%
Other values (144) 577
69.5%
ASCII
ValueCountFrequency (%)
, 13
46.4%
12
42.9%
1 1
 
3.6%
2 1
 
3.6%
. 1
 
3.6%

공장대표주소(도로명)
Text

MISSING 

Distinct234
Distinct (%)93.6%
Missing8
Missing (%)3.1%
Memory size2.1 KiB
2024-01-10T07:49:27.178165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length42
Mean length28.12
Min length18

Characters and Unicode

Total characters7030
Distinct characters175
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

Unique222 ?
Unique (%)88.8%

Sample

1st row충청남도 서천군 장항읍 장산로 149 (한솔제지(장항공장))
2nd row충청남도 서천군 장항읍 장산로 149 (한솔제지(장항공장))
3rd row충청남도 서천군 종천면 종천공단길 43 ((주)군장조선)
4th row충청남도 서천군 종천면 종천공단길 47
5th row충청남도 서천군 장항읍 장항공단길 71 (남전물산)
ValueCountFrequency (%)
충청남도 250
 
16.4%
서천군 250
 
16.4%
종천면 70
 
4.6%
장항읍 69
 
4.5%
외 64
 
4.2%
1필지 38
 
2.5%
서면 34
 
2.2%
마서면 30
 
2.0%
종천공단길 21
 
1.4%
필지 17
 
1.1%
Other values (379) 686
44.9%
2024-01-10T07:49:27.579263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1279
 
18.2%
천 386
 
5.5%
서 355
 
5.0%
도 260
 
3.7%
충 258
 
3.7%
남 256
 
3.6%
군 252
 
3.6%
청 250
 
3.6%
1 240
 
3.4%
길 193
 
2.7%
Other values (165) 3301
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4311
61.3%
Space Separator 1279
 
18.2%
Decimal Number 1073
 
15.3%
Open Punctuation 118
 
1.7%
Close Punctuation 118
 
1.7%
Dash Punctuation 111
 
1.6%
Other Punctuation 16
 
0.2%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 386
 
9.0%
서 355
 
8.2%
도 260
 
6.0%
충 258
 
6.0%
남 256
 
5.9%
군 252
 
5.8%
청 250
 
5.8%
길 193
 
4.5%
면 185
 
4.3%
장 149
 
3.5%
Other values (146) 1767
41.0%
Decimal Number
ValueCountFrequency (%)
1 240
22.4%
2 172
16.0%
3 127
11.8%
4 91
 
8.5%
7 88
 
8.2%
6 81
 
7.5%
8 76
 
7.1%
5 73
 
6.8%
9 63
 
5.9%
0 62
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
H 1
25.0%
B 1
25.0%
L 1
25.0%
G 1
25.0%
Space Separator
ValueCountFrequency (%)
1279
100.0%
Open Punctuation
ValueCountFrequency (%)
( 118
100.0%
Close Punctuation
ValueCountFrequency (%)
) 118
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 111
100.0%
Other Punctuation
ValueCountFrequency (%)
, 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4311
61.3%
Common 2715
38.6%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 386
 
9.0%
서 355
 
8.2%
도 260
 
6.0%
충 258
 
6.0%
남 256
 
5.9%
군 252
 
5.8%
청 250
 
5.8%
길 193
 
4.5%
면 185
 
4.3%
장 149
 
3.5%
Other values (146) 1767
41.0%
Common
ValueCountFrequency (%)
1279
47.1%
1 240
 
8.8%
2 172
 
6.3%
3 127
 
4.7%
( 118
 
4.3%
) 118
 
4.3%
- 111
 
4.1%
4 91
 
3.4%
7 88
 
3.2%
6 81
 
3.0%
Other values (5) 290
 
10.7%
Latin
ValueCountFrequency (%)
H 1
25.0%
B 1
25.0%
L 1
25.0%
G 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4311
61.3%
ASCII 2719
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1279
47.0%
1 240
 
8.8%
2 172
 
6.3%
3 127
 
4.7%
( 118
 
4.3%
) 118
 
4.3%
- 111
 
4.1%
4 91
 
3.3%
7 88
 
3.2%
6 81
 
3.0%
Other values (9) 294
 
10.8%
Hangul
ValueCountFrequency (%)
천 386
 
9.0%
서 355
 
8.2%
도 260
 
6.0%
충 258
 
6.0%
남 256
 
5.9%
군 252
 
5.8%
청 250
 
5.8%
길 193
 
4.5%
면 185
 
4.3%
장 149
 
3.5%
Other values (146) 1767
41.0%

공장대표주소(지번)
Text

Distinct244
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-01-10T07:49:27.757491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length42
Mean length25.542636
Min length18

Characters and Unicode

Total characters6590
Distinct characters140
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

Unique232 ?
Unique (%)89.9%

Sample

1st row충청남도 서천군 장항읍 화천리 481-8번지
2nd row충청남도 서천군 장항읍 화천리 481-8번지
3rd row충청남도 서천군 종천면 석촌리 424번지
4th row충청남도 서천군 종천면 석촌리 91번지
5th row충청남도 서천군 장항읍 원수리 450-15번지
ValueCountFrequency (%)
충청남도 258
17.5%
서천군 258
17.5%
종천면 68
 
4.6%
장항읍 67
 
4.6%
외 67
 
4.6%
석촌리 56
 
3.8%
원수리 43
 
2.9%
1필지 39
 
2.6%
서면 38
 
2.6%
마서면 30
 
2.0%
Other values (342) 548
37.2%
2024-01-10T07:49:28.062759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1214
18.4%
천 344
 
5.2%
서 334
 
5.1%
도 286
 
4.3%
지 276
 
4.2%
남 263
 
4.0%
리 262
 
4.0%
충 259
 
3.9%
군 258
 
3.9%
청 258
 
3.9%
Other values (130) 2836
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4084
62.0%
Space Separator 1214
 
18.4%
Decimal Number 1079
 
16.4%
Dash Punctuation 185
 
2.8%
Close Punctuation 13
 
0.2%
Open Punctuation 13
 
0.2%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 344
 
8.4%
서 334
 
8.2%
도 286
 
7.0%
지 276
 
6.8%
남 263
 
6.4%
리 262
 
6.4%
충 259
 
6.3%
군 258
 
6.3%
청 258
 
6.3%
번 197
 
4.8%
Other values (115) 1347
33.0%
Decimal Number
ValueCountFrequency (%)
1 194
18.0%
4 144
13.3%
2 137
12.7%
3 116
10.8%
5 102
9.5%
0 84
7.8%
6 79
7.3%
9 77
 
7.1%
7 73
 
6.8%
8 73
 
6.8%
Space Separator
ValueCountFrequency (%)
1214
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 185
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4084
62.0%
Common 2506
38.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 344
 
8.4%
서 334
 
8.2%
도 286
 
7.0%
지 276
 
6.8%
남 263
 
6.4%
리 262
 
6.4%
충 259
 
6.3%
군 258
 
6.3%
청 258
 
6.3%
번 197
 
4.8%
Other values (115) 1347
33.0%
Common
ValueCountFrequency (%)
1214
48.4%
1 194
 
7.7%
- 185
 
7.4%
4 144
 
5.7%
2 137
 
5.5%
3 116
 
4.6%
5 102
 
4.1%
0 84
 
3.4%
6 79
 
3.2%
9 77
 
3.1%
Other values (5) 174
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4084
62.0%
ASCII 2506
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1214
48.4%
1 194
 
7.7%
- 185
 
7.4%
4 144
 
5.7%
2 137
 
5.5%
3 116
 
4.6%
5 102
 
4.1%
0 84
 
3.4%
6 79
 
3.2%
9 77
 
3.1%
Other values (5) 174
 
6.9%
Hangul
ValueCountFrequency (%)
천 344
 
8.4%
서 334
 
8.2%
도 286
 
7.0%
지 276
 
6.8%
남 263
 
6.4%
리 262
 
6.4%
충 259
 
6.3%
군 258
 
6.3%
청 258
 
6.3%
번 197
 
4.8%
Other values (115) 1347
33.0%

종업원수
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.616279
Minimum0
Maximum350
Zeros17
Zeros (%)6.6%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-01-10T07:49:28.199778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median6
Q313
95-th percentile50.15
Maximum350
Range350
Interquartile range (IQR)9

Descriptive statistics

Standard deviation40.732735
Coefficient of variation (CV)2.4513752
Kurtosis38.085613
Mean16.616279
Median Absolute Deviation (MAD)4
Skewness5.7937521
Sum4287
Variance1659.1557
MonotonicityNot monotonic
2024-01-10T07:49:28.331650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
5 34
13.2%
4 27
 
10.5%
2 20
 
7.8%
10 19
 
7.4%
0 17
 
6.6%
3 17
 
6.6%
6 12
 
4.7%
12 11
 
4.3%
1 10
 
3.9%
7 10
 
3.9%
Other values (34) 81
31.4%
ValueCountFrequency (%)
0 17
6.6%
1 10
 
3.9%
2 20
7.8%
3 17
6.6%
4 27
10.5%
5 34
13.2%
6 12
 
4.7%
7 10
 
3.9%
8 6
 
2.3%
9 5
 
1.9%
ValueCountFrequency (%)
350 1
0.4%
334 1
0.4%
252 1
0.4%
216 1
0.4%
160 1
0.4%
152 1
0.4%
148 1
0.4%
116 1
0.4%
106 1
0.4%
90 1
0.4%

생산품
Text

Distinct180
Distinct (%)69.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-01-10T07:49:28.533793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length28
Mean length7.0775194
Min length1

Characters and Unicode

Total characters1826
Distinct characters314
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

Unique164 ?
Unique (%)63.6%

Sample

1st row백상지, 아트지
2nd row백상지,아트지
3rd rowfrp선박
4th row핫도그, 치즈볼, 냉동딸기 등
5th row주문형첨가제18종,아델린에프, 단미사료
ValueCountFrequency (%)
마른김 18
 
5.1%
조미김 17
 
4.8%
전기 11
 
3.1%
건멸치 10
 
2.8%
마른멸치 8
 
2.3%
김 5
 
1.4%
및 5
 
1.4%
소곡주 4
 
1.1%
건조김 4
 
1.1%
등 4
 
1.1%
Other values (238) 269
75.8%
2024-01-10T07:49:28.876661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 131
 
7.2%
102
 
5.6%
김 61
 
3.3%
기 50
 
2.7%
조 40
 
2.2%
건 38
 
2.1%
치 36
 
2.0%
마 34
 
1.9%
전 34
 
1.9%
미 33
 
1.8%
Other values (304) 1267
69.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1520
83.2%
Other Punctuation 136
 
7.4%
Space Separator 102
 
5.6%
Uppercase Letter 32
 
1.8%
Lowercase Letter 14
 
0.8%
Open Punctuation 9
 
0.5%
Close Punctuation 9
 
0.5%
Decimal Number 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 61
 
4.0%
기 50
 
3.3%
조 40
 
2.6%
건 38
 
2.5%
치 36
 
2.4%
마 34
 
2.2%
전 34
 
2.2%
미 33
 
2.2%
동 29
 
1.9%
른 29
 
1.9%
Other values (269) 1136
74.7%
Uppercase Letter
ValueCountFrequency (%)
L 5
15.6%
E 5
15.6%
D 4
12.5%
F 3
9.4%
S 3
9.4%
A 3
9.4%
R 1
 
3.1%
P 1
 
3.1%
Y 1
 
3.1%
G 1
 
3.1%
Other values (5) 5
15.6%
Lowercase Letter
ValueCountFrequency (%)
a 3
21.4%
f 2
14.3%
s 2
14.3%
p 1
 
7.1%
r 1
 
7.1%
h 1
 
7.1%
t 1
 
7.1%
d 1
 
7.1%
c 1
 
7.1%
e 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 1
25.0%
5 1
25.0%
8 1
25.0%
1 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 131
96.3%
. 3
 
2.2%
/ 2
 
1.5%
Space Separator
ValueCountFrequency (%)
102
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1520
83.2%
Common 260
 
14.2%
Latin 46
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 61
 
4.0%
기 50
 
3.3%
조 40
 
2.6%
건 38
 
2.5%
치 36
 
2.4%
마 34
 
2.2%
전 34
 
2.2%
미 33
 
2.2%
동 29
 
1.9%
른 29
 
1.9%
Other values (269) 1136
74.7%
Latin
ValueCountFrequency (%)
L 5
 
10.9%
E 5
 
10.9%
D 4
 
8.7%
F 3
 
6.5%
a 3
 
6.5%
S 3
 
6.5%
A 3
 
6.5%
f 2
 
4.3%
s 2
 
4.3%
R 1
 
2.2%
Other values (15) 15
32.6%
Common
ValueCountFrequency (%)
, 131
50.4%
102
39.2%
( 9
 
3.5%
) 9
 
3.5%
. 3
 
1.2%
/ 2
 
0.8%
2 1
 
0.4%
5 1
 
0.4%
8 1
 
0.4%
1 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1520
83.2%
ASCII 306
 
16.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 131
42.8%
102
33.3%
( 9
 
2.9%
) 9
 
2.9%
L 5
 
1.6%
E 5
 
1.6%
D 4
 
1.3%
F 3
 
1.0%
. 3
 
1.0%
a 3
 
1.0%
Other values (25) 32
 
10.5%
Hangul
ValueCountFrequency (%)
김 61
 
4.0%
기 50
 
3.3%
조 40
 
2.6%
건 38
 
2.5%
치 36
 
2.4%
마 34
 
2.2%
전 34
 
2.2%
미 33
 
2.2%
동 29
 
1.9%
른 29
 
1.9%
Other values (269) 1136
74.7%

전화번호
Text

MISSING 

Distinct163
Distinct (%)86.7%
Missing70
Missing (%)27.1%
Memory size2.1 KiB
2024-01-10T07:49:29.175645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.994681
Min length11

Characters and Unicode

Total characters2255
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

Unique144 ?
Unique (%)76.6%

Sample

1st row041-955-1761
2nd row041-955-1731
3rd row041-952-9551
4th row041-953-8408
5th row041-956-7207
ValueCountFrequency (%)
041-953-8408 4
 
2.1%
041-956-1434 4
 
2.1%
041-955-8100 3
 
1.6%
041-956-0372 3
 
1.6%
041-953-7421 2
 
1.1%
041-956-8510 2
 
1.1%
041-951-6949 2
 
1.1%
041-951-2066 2
 
1.1%
041-953-2688 2
 
1.1%
041-956-8808 2
 
1.1%
Other values (153) 162
86.2%
2024-01-10T07:49:29.615576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 376
16.7%
1 302
13.4%
0 293
13.0%
4 254
11.3%
5 252
11.2%
9 239
10.6%
2 125
 
5.5%
3 121
 
5.4%
6 110
 
4.9%
8 104
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1879
83.3%
Dash Punctuation 376
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 302
16.1%
0 293
15.6%
4 254
13.5%
5 252
13.4%
9 239
12.7%
2 125
6.7%
3 121
6.4%
6 110
 
5.9%
8 104
 
5.5%
7 79
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 376
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2255
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 376
16.7%
1 302
13.4%
0 293
13.0%
4 254
11.3%
5 252
11.2%
9 239
10.6%
2 125
 
5.5%
3 121
 
5.4%
6 110
 
4.9%
8 104
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2255
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 376
16.7%
1 302
13.4%
0 293
13.0%
4 254
11.3%
5 252
11.2%
9 239
10.6%
2 125
 
5.5%
3 121
 
5.4%
6 110
 
4.9%
8 104
 
4.6%

팩스번호
Text

MISSING 

Distinct120
Distinct (%)92.3%
Missing128
Missing (%)49.6%
Memory size2.1 KiB
2024-01-10T07:49:29.870753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.030769
Min length12

Characters and Unicode

Total characters1564
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

Unique111 ?
Unique (%)85.4%

Sample

1st row041-952-9553
2nd row041-953-8496
3rd row041-956-7207
4th row041-952-7422
5th row041-956-3280
ValueCountFrequency (%)
041-951-6663 3
 
2.3%
041-951-7003 2
 
1.5%
041-956-7103 2
 
1.5%
041-951-2067 2
 
1.5%
041-956-1435 2
 
1.5%
041-957-0372 2
 
1.5%
041-950-6669 2
 
1.5%
041-952-7422 2
 
1.5%
041-956-3716 2
 
1.5%
041-952-8189 1
 
0.8%
Other values (110) 110
84.6%
2024-01-10T07:49:30.219451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 260
16.6%
1 199
12.7%
0 189
12.1%
5 176
11.3%
9 172
11.0%
4 166
10.6%
6 104
 
6.6%
2 92
 
5.9%
3 80
 
5.1%
7 72
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1304
83.4%
Dash Punctuation 260
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 199
15.3%
0 189
14.5%
5 176
13.5%
9 172
13.2%
4 166
12.7%
6 104
8.0%
2 92
7.1%
3 80
6.1%
7 72
 
5.5%
8 54
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 260
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1564
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 260
16.6%
1 199
12.7%
0 189
12.1%
5 176
11.3%
9 172
11.0%
4 166
10.6%
6 104
 
6.6%
2 92
 
5.9%
3 80
 
5.1%
7 72
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1564
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 260
16.6%
1 199
12.7%
0 189
12.1%
5 176
11.3%
9 172
11.0%
4 166
10.6%
6 104
 
6.6%
2 92
 
5.9%
3 80
 
5.1%
7 72
 
4.6%

데이터 기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2023-07-12 00:00:00
Maximum2023-07-12 00:00:00
2024-01-10T07:49:30.324459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:49:30.408356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-10T07:49:24.739740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-01-10T07:49:25.279406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:49:25.459219image/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.
2024-01-10T07:49:25.595206image/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

기업체명대표자명공장대표주소(도로명)공장대표주소(지번)종업원수생산품전화번호팩스번호데이터 기준일자
0(유)건우조건익충청남도 서천군 장항읍 장산로 149 (한솔제지(장항공장))충청남도 서천군 장항읍 화천리 481-8번지70백상지, 아트지041-955-1761<NA>2023-07-12
1(유)대호김우현충청남도 서천군 장항읍 장산로 149 (한솔제지(장항공장))충청남도 서천군 장항읍 화천리 481-8번지152백상지,아트지041-955-1731<NA>2023-07-12
2(주)군장조선허애숙.고호남충청남도 서천군 종천면 종천공단길 43 ((주)군장조선)충청남도 서천군 종천면 석촌리 424번지10frp선박041-952-9551041-952-95532023-07-12
3(주)기업과사람들이인숙충청남도 서천군 종천면 종천공단길 47충청남도 서천군 종천면 석촌리 91번지50핫도그, 치즈볼, 냉동딸기 등041-953-8408041-953-84962023-07-12
4(주)남전물산이병익, 정석원충청남도 서천군 장항읍 장항공단길 71 (남전물산)충청남도 서천군 장항읍 원수리 450-15번지15주문형첨가제18종,아델린에프, 단미사료041-956-7207041-956-72072023-07-12
5(주)농민식품 제3공장김영근충청남도 서천군 종천면 종천공단길14번길 64 외 2필지충청남도 서천군 종천면 석촌리 416-96 외 2필지5도토리묵, 도토리 녹말041-953-7421041-952-74222023-07-12
6(주)다산기계이찬수충청남도 서천군 장항읍 장항공단길28번길 60 외 1필지충청남도 서천군 장항읍 원수리 450-12번지 외 1필지22AXLE CASING ASSY041-956-3250041-956-32802023-07-12
7(주)대동산업홍관배충청남도 서천군 종천면 종천공단길32번길 24충청남도 서천군 종천면 석촌리 417번지4용접철망,돌망태,비닐끈니른,부직포041-953-2294041-953-22932023-07-12
8(주)대지최철충청남도 서천군 장항읍 장항공단길28번길 40 ((주)대지)충청남도 서천군 장항읍 원수리 450-14번지37a/shaft , d/case041-956-6515041-956-65442023-07-12
9(주)동성물산이 윤 재충청남도 서천군 종천면 종천공단길14번길 40 (동성물산)충청남도 서천군 종천면 석촌리 484번지10소형연마석041-952-6020041-952-60312023-07-12
기업체명대표자명공장대표주소(도로명)공장대표주소(지번)종업원수생산품전화번호팩스번호데이터 기준일자
248해본3호 태양광발전소임천규충청남도 서천군 종천면 종천공단길32번길 31-16충청남도 서천군 종천면 석촌리 452 해본조선소0전기<NA><NA>2023-07-12
249해본조선임천규충청남도 서천군 종천면 종천공단길32번길 31-16 (해본조선소) (총 2 필지) 외 1필지충청남도 서천군 종천면 석촌리 452번지 외 1필지3F.R.P선박041-952-6598041-952-65972023-07-12
250해영수산김호용충청남도 서천군 서면 부원길 527충청남도 서천군 서면 도둔리 1105-16마른멸치<NA><NA>2023-07-12
251해인영어조합법인박병대충청남도 서천군 비인면 충서로 1300-1충청남도 서천군 비인면 구복리 29-1번지15까나리액젓,조미김041-952-9363041-952-93622023-07-12
252헤가코퍼레이션안상문충청남도 서천군 장항읍 장항공단길 80-9충청남도 서천군 장항읍 원수리 997-2번지44가위(재단용)041-956-8888<NA>2023-07-12
253현대수산이맹렬충청남도 서천군 비인면 갯벌체험로 929 (현대수산) 외 2필지충청남도 서천군 비인면 다사리 396번지 외 2필지2마른김<NA><NA>2023-07-12
254형제수산최선순, 최선경충청남도 서천군 마서면 장천로 907 외 3필지충청남도 서천군 마서면 한성리 658-3번지 외 3필지5마른김<NA><NA>2023-07-12
255화영식품김항태충청남도 서천군 서면 도둔길 83충청남도 서천군 서면 도둔리 889-1번지4생칼국수,김칼국수,새우칼국수041-952-2271041-952-22722023-07-12
256후암석재주식회사장시용충청남도 서천군 장항읍 장항공단길 97 (후암석재) 외 1필지충청남도 서천군 장항읍 원수리 993-5번지 외 1필지7석재, 경계석041-951-4444041-952-07472023-07-12
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