Overview

Dataset statistics

Number of variables8
Number of observations544
Missing cells217
Missing cells (%)5.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory34.7 KiB
Average record size in memory65.2 B

Variable types

Numeric1
Text7

Dataset

Description충청남도 예산군 내 제조업체 등록현황(회사명, 전화번호, 팩스번호, 공장대표주소, 업종명, 생산품, 대표명) 데이터를 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=421&beforeMenuCd=DOM_000000201001001000&publicdatapk=15034991

Alerts

전화번호 has 26 (4.8%) missing valuesMissing
팩스번호 has 188 (34.6%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2024-01-09 23:21:09.106369
Analysis finished2024-01-09 23:21:10.373697
Duration1.27 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct544
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean272.5
Minimum1
Maximum544
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-10T08:21:10.435132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile28.15
Q1136.75
median272.5
Q3408.25
95-th percentile516.85
Maximum544
Range543
Interquartile range (IQR)271.5

Descriptive statistics

Standard deviation157.18354
Coefficient of variation (CV)0.57682035
Kurtosis-1.2
Mean272.5
Median Absolute Deviation (MAD)136
Skewness0
Sum148240
Variance24706.667
MonotonicityStrictly increasing
2024-01-10T08:21:10.572854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
367 1
 
0.2%
361 1
 
0.2%
362 1
 
0.2%
363 1
 
0.2%
364 1
 
0.2%
365 1
 
0.2%
366 1
 
0.2%
368 1
 
0.2%
274 1
 
0.2%
Other values (534) 534
98.2%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
544 1
0.2%
543 1
0.2%
542 1
0.2%
541 1
0.2%
540 1
0.2%
539 1
0.2%
538 1
0.2%
537 1
0.2%
536 1
0.2%
535 1
0.2%

회사명
Text

Distinct521
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2024-01-10T08:21:10.808250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length16
Mean length7.8051471
Min length2

Characters and Unicode

Total characters4246
Distinct characters365
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique502 ?
Unique (%)92.3%

Sample

1st row(농)아이파머스(주)
2nd row(부)보령수앤수
3rd row(유)에치비
4th row(주)경안섬유
5th row(주)경양산업
ValueCountFrequency (%)
주식회사 33
 
5.3%
농업회사법인 9
 
1.4%
주)신호인더스트리 4
 
0.6%
예산공장 4
 
0.6%
예산 3
 
0.5%
주)네오오토 3
 
0.5%
유한회사 3
 
0.5%
주)나이스엘엠에스 3
 
0.5%
주)녹수 3
 
0.5%
삼박엘에프티(주 3
 
0.5%
Other values (532) 557
89.1%
2024-01-10T08:21:11.130955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 407
 
9.6%
( 365
 
8.6%
) 365
 
8.6%
이 112
 
2.6%
산 98
 
2.3%
스 96
 
2.3%
사 86
 
2.0%
82
 
1.9%
업 80
 
1.9%
에 76
 
1.8%
Other values (355) 2479
58.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3391
79.9%
Open Punctuation 366
 
8.6%
Close Punctuation 366
 
8.6%
Space Separator 82
 
1.9%
Decimal Number 17
 
0.4%
Uppercase Letter 16
 
0.4%
Other Punctuation 4
 
0.1%
Other Symbol 3
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 407
 
12.0%
이 112
 
3.3%
산 98
 
2.9%
스 96
 
2.8%
사 86
 
2.5%
업 80
 
2.4%
에 76
 
2.2%
회 65
 
1.9%
식 52
 
1.5%
예 49
 
1.4%
Other values (329) 2270
66.9%
Uppercase Letter
ValueCountFrequency (%)
R 3
18.8%
P 2
12.5%
G 2
12.5%
H 1
 
6.2%
N 1
 
6.2%
I 1
 
6.2%
E 1
 
6.2%
M 1
 
6.2%
T 1
 
6.2%
F 1
 
6.2%
Other values (2) 2
12.5%
Decimal Number
ValueCountFrequency (%)
2 9
52.9%
1 4
23.5%
3 2
 
11.8%
9 1
 
5.9%
4 1
 
5.9%
Open Punctuation
ValueCountFrequency (%)
( 365
99.7%
[ 1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 365
99.7%
] 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
. 3
75.0%
& 1
 
25.0%
Space Separator
ValueCountFrequency (%)
82
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3394
79.9%
Common 836
 
19.7%
Latin 16
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 407
 
12.0%
이 112
 
3.3%
산 98
 
2.9%
스 96
 
2.8%
사 86
 
2.5%
업 80
 
2.4%
에 76
 
2.2%
회 65
 
1.9%
식 52
 
1.5%
예 49
 
1.4%
Other values (330) 2273
67.0%
Common
ValueCountFrequency (%)
( 365
43.7%
) 365
43.7%
82
 
9.8%
2 9
 
1.1%
1 4
 
0.5%
. 3
 
0.4%
3 2
 
0.2%
[ 1
 
0.1%
9 1
 
0.1%
4 1
 
0.1%
Other values (3) 3
 
0.4%
Latin
ValueCountFrequency (%)
R 3
18.8%
P 2
12.5%
G 2
12.5%
H 1
 
6.2%
N 1
 
6.2%
I 1
 
6.2%
E 1
 
6.2%
M 1
 
6.2%
T 1
 
6.2%
F 1
 
6.2%
Other values (2) 2
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3391
79.9%
ASCII 852
 
20.1%
None 3
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 407
 
12.0%
이 112
 
3.3%
산 98
 
2.9%
스 96
 
2.8%
사 86
 
2.5%
업 80
 
2.4%
에 76
 
2.2%
회 65
 
1.9%
식 52
 
1.5%
예 49
 
1.4%
Other values (329) 2270
66.9%
ASCII
ValueCountFrequency (%)
( 365
42.8%
) 365
42.8%
82
 
9.6%
2 9
 
1.1%
1 4
 
0.5%
R 3
 
0.4%
. 3
 
0.4%
P 2
 
0.2%
G 2
 
0.2%
3 2
 
0.2%
Other values (15) 15
 
1.8%
None
ValueCountFrequency (%)
㈜ 3
100.0%

대표자명
Text

Distinct495
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2024-01-10T08:21:11.428499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length3
Mean length3.3253676
Min length2

Characters and Unicode

Total characters1809
Distinct characters203
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

Unique456 ?
Unique (%)83.8%

Sample

1st row유종숙
2nd row진유성
3rd row조구형
4th row문관석
5th row한은수
ValueCountFrequency (%)
이필진 4
 
0.7%
마경희 3
 
0.5%
김연욱 3
 
0.5%
정인화 3
 
0.5%
박용찬 3
 
0.5%
외 3
 
0.5%
김원일 3
 
0.5%
윤성택 3
 
0.5%
안동일 3
 
0.5%
고동환 3
 
0.5%
Other values (507) 542
94.6%
2024-01-10T08:21:11.836055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 105
 
5.8%
이 92
 
5.1%
박 54
 
3.0%
정 46
 
2.5%
성 43
 
2.4%
호 41
 
2.3%
상 34
 
1.9%
수 33
 
1.8%
영 33
 
1.8%
희 31
 
1.7%
Other values (193) 1297
71.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1735
95.9%
Space Separator 31
 
1.7%
Other Punctuation 30
 
1.7%
Uppercase Letter 8
 
0.4%
Decimal Number 3
 
0.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 105
 
6.1%
이 92
 
5.3%
박 54
 
3.1%
정 46
 
2.7%
성 43
 
2.5%
호 41
 
2.4%
상 34
 
2.0%
수 33
 
1.9%
영 33
 
1.9%
희 31
 
1.8%
Other values (179) 1223
70.5%
Uppercase Letter
ValueCountFrequency (%)
U 2
25.0%
A 1
12.5%
Q 1
12.5%
W 1
12.5%
N 1
12.5%
X 1
12.5%
I 1
12.5%
Decimal Number
ValueCountFrequency (%)
1 1
33.3%
3 1
33.3%
7 1
33.3%
Space Separator
ValueCountFrequency (%)
31
100.0%
Other Punctuation
ValueCountFrequency (%)
, 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1735
95.9%
Common 66
 
3.6%
Latin 8
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 105
 
6.1%
이 92
 
5.3%
박 54
 
3.1%
정 46
 
2.7%
성 43
 
2.5%
호 41
 
2.4%
상 34
 
2.0%
수 33
 
1.9%
영 33
 
1.9%
희 31
 
1.8%
Other values (179) 1223
70.5%
Common
ValueCountFrequency (%)
31
47.0%
, 30
45.5%
1 1
 
1.5%
( 1
 
1.5%
) 1
 
1.5%
3 1
 
1.5%
7 1
 
1.5%
Latin
ValueCountFrequency (%)
U 2
25.0%
A 1
12.5%
Q 1
12.5%
W 1
12.5%
N 1
12.5%
X 1
12.5%
I 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1735
95.9%
ASCII 74
 
4.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 105
 
6.1%
이 92
 
5.3%
박 54
 
3.1%
정 46
 
2.7%
성 43
 
2.5%
호 41
 
2.4%
상 34
 
2.0%
수 33
 
1.9%
영 33
 
1.9%
희 31
 
1.8%
Other values (179) 1223
70.5%
ASCII
ValueCountFrequency (%)
31
41.9%
, 30
40.5%
U 2
 
2.7%
A 1
 
1.4%
1 1
 
1.4%
( 1
 
1.4%
Q 1
 
1.4%
W 1
 
1.4%
N 1
 
1.4%
X 1
 
1.4%
Other values (4) 4
 
5.4%

공장대표주소(지번)
Text

Distinct508
Distinct (%)93.7%
Missing2
Missing (%)0.4%
Memory size4.4 KiB
2024-01-10T08:21:12.067365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length44
Mean length25.870849
Min length17

Characters and Unicode

Total characters14022
Distinct characters160
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

Unique480 ?
Unique (%)88.6%

Sample

1st row충청남도 예산군 응봉면 노화리 410 외 1필지
2nd row충청남도 예산군 응봉면 증곡리 334-4 번지
3rd row충청남도 예산군 고덕면 오추리 814번지
4th row충청남도 예산군 신암면 오산리 382-3번지
5th row충청남도 예산군 대술면 화산리 428번지 외 2필지
ValueCountFrequency (%)
충청남도 540
 
17.5%
예산군 540
 
17.5%
고덕면 128
 
4.1%
외 116
 
3.8%
삽교읍 97
 
3.1%
신암면 77
 
2.5%
예산읍 73
 
2.4%
오추리 57
 
1.8%
효림리 54
 
1.7%
오가면 48
 
1.6%
Other values (631) 1357
44.0%
2024-01-10T08:21:12.409570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2548
18.2%
산 787
 
5.6%
예 662
 
4.7%
지 605
 
4.3%
충 550
 
3.9%
남 550
 
3.9%
리 546
 
3.9%
도 541
 
3.9%
군 541
 
3.9%
청 541
 
3.9%
Other values (150) 6151
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8832
63.0%
Space Separator 2548
 
18.2%
Decimal Number 2224
 
15.9%
Dash Punctuation 328
 
2.3%
Close Punctuation 35
 
0.2%
Open Punctuation 35
 
0.2%
Other Punctuation 10
 
0.1%
Uppercase Letter 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 787
 
8.9%
예 662
 
7.5%
지 605
 
6.9%
충 550
 
6.2%
남 550
 
6.2%
리 546
 
6.2%
도 541
 
6.1%
군 541
 
6.1%
청 541
 
6.1%
번 427
 
4.8%
Other values (127) 3082
34.9%
Decimal Number
ValueCountFrequency (%)
1 481
21.6%
2 333
15.0%
3 265
11.9%
4 225
10.1%
0 202
9.1%
5 173
 
7.8%
8 154
 
6.9%
7 154
 
6.9%
6 122
 
5.5%
9 115
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
B 3
30.0%
L 2
20.0%
X 1
 
10.0%
O 1
 
10.0%
T 1
 
10.0%
C 1
 
10.0%
D 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 9
90.0%
/ 1
 
10.0%
Space Separator
ValueCountFrequency (%)
2548
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 328
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8832
63.0%
Common 5180
36.9%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 787
 
8.9%
예 662
 
7.5%
지 605
 
6.9%
충 550
 
6.2%
남 550
 
6.2%
리 546
 
6.2%
도 541
 
6.1%
군 541
 
6.1%
청 541
 
6.1%
번 427
 
4.8%
Other values (127) 3082
34.9%
Common
ValueCountFrequency (%)
2548
49.2%
1 481
 
9.3%
2 333
 
6.4%
- 328
 
6.3%
3 265
 
5.1%
4 225
 
4.3%
0 202
 
3.9%
5 173
 
3.3%
8 154
 
3.0%
7 154
 
3.0%
Other values (6) 317
 
6.1%
Latin
ValueCountFrequency (%)
B 3
30.0%
L 2
20.0%
X 1
 
10.0%
O 1
 
10.0%
T 1
 
10.0%
C 1
 
10.0%
D 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8832
63.0%
ASCII 5190
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2548
49.1%
1 481
 
9.3%
2 333
 
6.4%
- 328
 
6.3%
3 265
 
5.1%
4 225
 
4.3%
0 202
 
3.9%
5 173
 
3.3%
8 154
 
3.0%
7 154
 
3.0%
Other values (13) 327
 
6.3%
Hangul
ValueCountFrequency (%)
산 787
 
8.9%
예 662
 
7.5%
지 605
 
6.9%
충 550
 
6.2%
남 550
 
6.2%
리 546
 
6.2%
도 541
 
6.1%
군 541
 
6.1%
청 541
 
6.1%
번 427
 
4.8%
Other values (127) 3082
34.9%

업종명
Text

Distinct296
Distinct (%)54.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2024-01-10T08:21:12.688405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length28
Mean length18.641544
Min length3

Characters and Unicode

Total characters10141
Distinct characters256
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

Unique203 ?
Unique (%)37.3%

Sample

1st row기타 과실ㆍ채소 가공 및 저장 처리업
2nd row의료용품 및 기타 의약관련제품 제조업
3rd row식초, 발효 및 화학 조미료 제조업 외 2 종
4th row면직물 직조업
5th row자동차 차체용 부품 제조업 외 1 종
ValueCountFrequency (%)
제조업 478
 
14.2%
외 342
 
10.2%
종 264
 
7.9%
및 235
 
7.0%
기타 158
 
4.7%
1 140
 
4.2%
그 78
 
2.3%
금속 47
 
1.4%
신품 45
 
1.3%
2 45
 
1.3%
Other values (371) 1528
45.5%
2024-01-10T08:21:13.086678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2816
27.8%
제 663
 
6.5%
업 571
 
5.6%
조 560
 
5.5%
외 347
 
3.4%
품 287
 
2.8%
종 269
 
2.7%
기 252
 
2.5%
및 236
 
2.3%
타 169
 
1.7%
Other values (246) 3971
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6982
68.8%
Space Separator 2816
27.8%
Decimal Number 269
 
2.7%
Other Punctuation 64
 
0.6%
Close Punctuation 5
 
< 0.1%
Open Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 663
 
9.5%
업 571
 
8.2%
조 560
 
8.0%
외 347
 
5.0%
품 287
 
4.1%
종 269
 
3.9%
기 252
 
3.6%
및 236
 
3.4%
타 169
 
2.4%
용 158
 
2.3%
Other values (233) 3470
49.7%
Decimal Number
ValueCountFrequency (%)
1 144
53.5%
2 46
 
17.1%
3 45
 
16.7%
4 19
 
7.1%
6 5
 
1.9%
5 5
 
1.9%
7 3
 
1.1%
0 1
 
0.4%
9 1
 
0.4%
Space Separator
ValueCountFrequency (%)
2816
100.0%
Other Punctuation
ValueCountFrequency (%)
, 64
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6982
68.8%
Common 3159
31.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 663
 
9.5%
업 571
 
8.2%
조 560
 
8.0%
외 347
 
5.0%
품 287
 
4.1%
종 269
 
3.9%
기 252
 
3.6%
및 236
 
3.4%
타 169
 
2.4%
용 158
 
2.3%
Other values (233) 3470
49.7%
Common
ValueCountFrequency (%)
2816
89.1%
1 144
 
4.6%
, 64
 
2.0%
2 46
 
1.5%
3 45
 
1.4%
4 19
 
0.6%
6 5
 
0.2%
5 5
 
0.2%
) 5
 
0.2%
( 5
 
0.2%
Other values (3) 5
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6967
68.7%
ASCII 3159
31.2%
Compat Jamo 15
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2816
89.1%
1 144
 
4.6%
, 64
 
2.0%
2 46
 
1.5%
3 45
 
1.4%
4 19
 
0.6%
6 5
 
0.2%
5 5
 
0.2%
) 5
 
0.2%
( 5
 
0.2%
Other values (3) 5
 
0.2%
Hangul
ValueCountFrequency (%)
제 663
 
9.5%
업 571
 
8.2%
조 560
 
8.0%
외 347
 
5.0%
품 287
 
4.1%
종 269
 
3.9%
기 252
 
3.6%
및 236
 
3.4%
타 169
 
2.4%
용 158
 
2.3%
Other values (232) 3455
49.6%
Compat Jamo
ValueCountFrequency (%)
ㆍ 15
100.0%

전화번호
Text

MISSING 

Distinct480
Distinct (%)92.7%
Missing26
Missing (%)4.8%
Memory size4.4 KiB
2024-01-10T08:21:13.340092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.760618
Min length9

Characters and Unicode

Total characters6092
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique452 ?
Unique (%)87.3%

Sample

1st row041-331-4949
2nd row02-740-4267
3rd row031-479-7160
4th row041-331-1583
5th row041-333-3811
ValueCountFrequency (%)
041-337-7411 4
 
0.8%
041-337-1730 4
 
0.8%
041-337-3881 3
 
0.6%
041-338-5240 3
 
0.6%
041-332-6346 3
 
0.6%
032-760-2114 3
 
0.6%
041-337-0167 3
 
0.6%
041-331-6390 3
 
0.6%
070-4349-3674 2
 
0.4%
041-331-3011 2
 
0.4%
Other values (470) 488
94.2%
2024-01-10T08:21:13.702992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1017
16.7%
- 973
16.0%
0 849
13.9%
1 770
12.6%
4 678
11.1%
2 343
 
5.6%
8 317
 
5.2%
7 316
 
5.2%
5 304
 
5.0%
6 266
 
4.4%
Other values (2) 259
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5058
83.0%
Dash Punctuation 973
 
16.0%
Space Separator 61
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1017
20.1%
0 849
16.8%
1 770
15.2%
4 678
13.4%
2 343
 
6.8%
8 317
 
6.3%
7 316
 
6.2%
5 304
 
6.0%
6 266
 
5.3%
9 198
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 973
100.0%
Space Separator
ValueCountFrequency (%)
61
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6092
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1017
16.7%
- 973
16.0%
0 849
13.9%
1 770
12.6%
4 678
11.1%
2 343
 
5.6%
8 317
 
5.2%
7 316
 
5.2%
5 304
 
5.0%
6 266
 
4.4%
Other values (2) 259
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6092
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1017
16.7%
- 973
16.0%
0 849
13.9%
1 770
12.6%
4 678
11.1%
2 343
 
5.6%
8 317
 
5.2%
7 316
 
5.2%
5 304
 
5.0%
6 266
 
4.4%
Other values (2) 259
 
4.3%

팩스번호
Text

MISSING 

Distinct327
Distinct (%)91.9%
Missing188
Missing (%)34.6%
Memory size4.4 KiB
2024-01-10T08:21:13.931041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.002809
Min length11

Characters and Unicode

Total characters4273
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

Unique304 ?
Unique (%)85.4%

Sample

1st row041-331-4941
2nd row02-708-8426
3rd row041-331-1587
4th row02-3660-7849
5th row041-338-1603
ValueCountFrequency (%)
041-337-7413 4
 
1.1%
041-332-6348 3
 
0.8%
041-338-0024 3
 
0.8%
032-763-5046 3
 
0.8%
041-338-5244 3
 
0.8%
02-545-0074 2
 
0.6%
041-339-3020 2
 
0.6%
041-331-3361 2
 
0.6%
041-330-8539 2
 
0.6%
041-333-4353 2
 
0.6%
Other values (317) 330
92.7%
2024-01-10T08:21:14.261637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 753
17.6%
- 712
16.7%
0 585
13.7%
4 501
11.7%
1 501
11.7%
2 237
 
5.5%
8 220
 
5.1%
5 209
 
4.9%
7 199
 
4.7%
6 186
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3561
83.3%
Dash Punctuation 712
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 753
21.1%
0 585
16.4%
4 501
14.1%
1 501
14.1%
2 237
 
6.7%
8 220
 
6.2%
5 209
 
5.9%
7 199
 
5.6%
6 186
 
5.2%
9 170
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 712
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4273
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 753
17.6%
- 712
16.7%
0 585
13.7%
4 501
11.7%
1 501
11.7%
2 237
 
5.5%
8 220
 
5.1%
5 209
 
4.9%
7 199
 
4.7%
6 186
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4273
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 753
17.6%
- 712
16.7%
0 585
13.7%
4 501
11.7%
1 501
11.7%
2 237
 
5.5%
8 220
 
5.1%
5 209
 
4.9%
7 199
 
4.7%
6 186
 
4.4%

생산품
Text

Distinct497
Distinct (%)91.5%
Missing1
Missing (%)0.2%
Memory size4.4 KiB
2024-01-10T08:21:14.492689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length30
Mean length9.9779006
Min length1

Characters and Unicode

Total characters5418
Distinct characters476
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique468 ?
Unique (%)86.2%

Sample

1st row사과생즙, ABC주스, 사과말랭이
2nd row의료용품
3rd row소스류, 복합조미식품
4th row테이프원단
5th row자동차용 몰딩품, 표면보호테이프
ValueCountFrequency (%)
등 28
 
2.8%
및 23
 
2.3%
자동차 13
 
1.3%
자동차부품 9
 
0.9%
부품 9
 
0.9%
사료 7
 
0.7%
보조사료 6
 
0.6%
알루미늄 6
 
0.6%
플라스틱 6
 
0.6%
미곡 6
 
0.6%
Other values (757) 899
88.8%
2024-01-10T08:21:14.858103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
473
 
8.7%
, 336
 
6.2%
품 119
 
2.2%
제 106
 
2.0%
기 99
 
1.8%
용 84
 
1.6%
료 80
 
1.5%
스 78
 
1.4%
동 77
 
1.4%
차 77
 
1.4%
Other values (466) 3889
71.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4258
78.6%
Space Separator 473
 
8.7%
Other Punctuation 352
 
6.5%
Uppercase Letter 209
 
3.9%
Open Punctuation 42
 
0.8%
Close Punctuation 42
 
0.8%
Lowercase Letter 35
 
0.6%
Dash Punctuation 4
 
0.1%
Decimal Number 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 119
 
2.8%
제 106
 
2.5%
기 99
 
2.3%
용 84
 
2.0%
료 80
 
1.9%
스 78
 
1.8%
동 77
 
1.8%
차 77
 
1.8%
조 73
 
1.7%
부 65
 
1.5%
Other values (423) 3400
79.8%
Uppercase Letter
ValueCountFrequency (%)
P 31
14.8%
C 26
12.4%
E 17
 
8.1%
T 16
 
7.7%
R 15
 
7.2%
A 13
 
6.2%
L 12
 
5.7%
V 11
 
5.3%
I 8
 
3.8%
D 8
 
3.8%
Other values (12) 52
24.9%
Lowercase Letter
ValueCountFrequency (%)
e 7
20.0%
c 7
20.0%
l 6
17.1%
t 4
11.4%
i 2
 
5.7%
p 2
 
5.7%
r 2
 
5.7%
o 2
 
5.7%
y 1
 
2.9%
s 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 336
95.5%
/ 9
 
2.6%
. 4
 
1.1%
· 3
 
0.9%
Decimal Number
ValueCountFrequency (%)
3 2
66.7%
1 1
33.3%
Space Separator
ValueCountFrequency (%)
473
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4258
78.6%
Common 916
 
16.9%
Latin 244
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 119
 
2.8%
제 106
 
2.5%
기 99
 
2.3%
용 84
 
2.0%
료 80
 
1.9%
스 78
 
1.8%
동 77
 
1.8%
차 77
 
1.8%
조 73
 
1.7%
부 65
 
1.5%
Other values (423) 3400
79.8%
Latin
ValueCountFrequency (%)
P 31
 
12.7%
C 26
 
10.7%
E 17
 
7.0%
T 16
 
6.6%
R 15
 
6.1%
A 13
 
5.3%
L 12
 
4.9%
V 11
 
4.5%
I 8
 
3.3%
D 8
 
3.3%
Other values (23) 87
35.7%
Common
ValueCountFrequency (%)
473
51.6%
, 336
36.7%
( 42
 
4.6%
) 42
 
4.6%
/ 9
 
1.0%
. 4
 
0.4%
- 4
 
0.4%
· 3
 
0.3%
3 2
 
0.2%
1 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4257
78.6%
ASCII 1157
 
21.4%
None 3
 
0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
473
40.9%
, 336
29.0%
( 42
 
3.6%
) 42
 
3.6%
P 31
 
2.7%
C 26
 
2.2%
E 17
 
1.5%
T 16
 
1.4%
R 15
 
1.3%
A 13
 
1.1%
Other values (32) 146
 
12.6%
Hangul
ValueCountFrequency (%)
품 119
 
2.8%
제 106
 
2.5%
기 99
 
2.3%
용 84
 
2.0%
료 80
 
1.9%
스 78
 
1.8%
동 77
 
1.8%
차 77
 
1.8%
조 73
 
1.7%
부 65
 
1.5%
Other values (422) 3399
79.8%
None
ValueCountFrequency (%)
· 3
100.0%
Compat Jamo
ValueCountFrequency (%)
ㄷ 1
100.0%

Interactions

2024-01-10T08:21:10.004268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-01-10T08:21:10.120407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T08:21:10.235087image/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.
2024-01-10T08:21:10.325003image/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

순번회사명대표자명공장대표주소(지번)업종명전화번호팩스번호생산품
01(농)아이파머스(주)유종숙충청남도 예산군 응봉면 노화리 410 외 1필지기타 과실ㆍ채소 가공 및 저장 처리업041-331-4949041-331-4941사과생즙, ABC주스, 사과말랭이
12(부)보령수앤수진유성충청남도 예산군 응봉면 증곡리 334-4 번지의료용품 및 기타 의약관련제품 제조업02-740-426702-708-8426의료용품
23(유)에치비조구형충청남도 예산군 고덕면 오추리 814번지식초, 발효 및 화학 조미료 제조업 외 2 종031-479-7160<NA>소스류, 복합조미식품
34(주)경안섬유문관석충청남도 예산군 신암면 오산리 382-3번지면직물 직조업041-331-1583041-331-1587테이프원단
45(주)경양산업한은수충청남도 예산군 대술면 화산리 428번지 외 2필지자동차 차체용 부품 제조업 외 1 종041-333-3811<NA>자동차용 몰딩품, 표면보호테이프
56(주)경인양행김흥준, 조성용충청남도 예산군 응봉면 주령리 400번지감광재료 및 관련 화학제품 제조업02-3660-782102-3660-7849PR, BARC Resin, PAG 등 반도체 제조용 약품
67(주)경진테크고석재충청남도 예산군 삽교읍 두리 121-4번지 외 1필지금속 단조제품 제조업041-338-1600041-338-1603TRACK LINK, DIFF GEAR
78(주)고려비엔피민정훈충청남도 예산군 신암면 두곡리 254-18번지동물용 의약품 제조업 외 3 종041-331-0213041-331-0217항생제, 영양제, 단미사료
89(주)고비신진욱충청남도 예산군 고덕면 호음리 937번지플라스틱 선, 봉, 관 및 호스 제조업041-338-8888041-338-8889내진 상하수도관 등
910(주)관작진테크손덕호충청남도 예산군 예산읍 관작리 276-2번지자동차 차체용 신품 부품 제조업 외 1 종6750-0580041-335-5062도어 트림
순번회사명대표자명공장대표주소(지번)업종명전화번호팩스번호생산품
534535향산농산영농조합법인남기복충청남도 예산군 예산읍 신례원리 108번지곡물 도정업041-335-5690041-335-5689미곡
535536헬스카우오복환충청남도 예산군 삽교읍 가리 203-1번지동물용 의약품 제조업6410-3259041-338-2928유두침지제
536537현대상사나명덕충청남도 예산군 신암면 탄중리 152번지모피 및 가죽 제조업041-333-2745041-331-2745돈피,우피
537538현대제철(주)안동일충청남도 예산군 삽교읍 월산리 173번지자동차 차체용 신품 부품 제조업032-760-2114032-763-5046자동차 차체용 부품
538539현대제철(주)예산1공장안동일충청남도 예산군 삽교읍 효림리 555-0자동차 차체용 신품 부품 제조업 외 1 종032-760-2114032-763-5046자동차 차체용 부품
539540현대제철(주)예산2공장안동일충청남도 예산군 삽교읍 효림리 498자동차 차체용 신품 부품 제조업 외 1 종032-760-2114032-763-5046자동차 차체부품, 강관부품
540541협신건설기계김성욱충청남도 예산군 예산읍 관작리 233번지건설 및 채광용 기계장비 제조업7117-7583041-335-0445건축기계 및 부품제조,재생,정비
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