Overview

Dataset statistics

Number of variables10
Number of observations846
Missing cells1457
Missing cells (%)17.2%
Duplicate rows1
Duplicate rows (%)0.1%
Total size in memory68.7 KiB
Average record size in memory83.2 B

Variable types

Text7
Numeric3

Dataset

Description한국세라믹기술원 국가인적자원개발 컨소시엄 사업 홈페이지의 회원사 정보(회원사명, 주소, 대표자 등)입니다.
Author한국세라믹기술원
URLhttps://www.data.go.kr/data/15072070/fileData.do

Alerts

Dataset has 1 (0.1%) duplicate rowsDuplicates
전화번호1 has 270 (31.9%) missing valuesMissing
전화번호2 has 270 (31.9%) missing valuesMissing
전화번호3 has 270 (31.9%) missing valuesMissing
홈페이지 has 647 (76.5%) missing valuesMissing
전화번호2 has 18 (2.1%) zerosZeros
전화번호3 has 18 (2.1%) zerosZeros

Reproduction

Analysis started2023-12-12 11:37:08.560624
Analysis finished2023-12-12 11:37:12.504934
Duration3.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회원사명
Text

Distinct841
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2023-12-12T20:37:12.801332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length20
Mean length7.9160757
Min length2

Characters and Unicode

Total characters6697
Distinct characters447
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

Unique836 ?
Unique (%)98.8%

Sample

1st row스타치과기공소
2nd row메덴스
3rd row한국몰렉스유한회사
4th row거성세라믹스
5th row주식회사 한국울프람
ValueCountFrequency (%)
주식회사 70
 
7.5%
주 3
 
0.3%
이엠코리아(주 2
 
0.2%
재단법인)서남권청정에너지기술연구원 2
 
0.2%
（주）진테크널러지 2
 
0.2%
삼영순화(주 2
 
0.2%
주)모간 2
 
0.2%
주)비에스엘 1
 
0.1%
주)oci머티리얼즈주식회사 1
 
0.1%
미치과기공소 1
 
0.1%
Other values (851) 851
90.8%
2023-12-12T20:37:13.494634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 591
 
8.8%
( 506
 
7.6%
) 505
 
7.5%
이 208
 
3.1%
스 191
 
2.9%
사 112
 
1.7%
에 103
 
1.5%
기 96
 
1.4%
회 94
 
1.4%
91
 
1.4%
Other values (437) 4200
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5382
80.4%
Open Punctuation 521
 
7.8%
Close Punctuation 521
 
7.8%
Uppercase Letter 132
 
2.0%
Space Separator 91
 
1.4%
Lowercase Letter 27
 
0.4%
Other Punctuation 13
 
0.2%
Decimal Number 6
 
0.1%
Dash Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 591
 
11.0%
이 208
 
3.9%
스 191
 
3.5%
사 112
 
2.1%
에 103
 
1.9%
기 96
 
1.8%
회 94
 
1.7%
식 90
 
1.7%
공 88
 
1.6%
아 85
 
1.6%
Other values (393) 3724
69.2%
Uppercase Letter
ValueCountFrequency (%)
C 16
12.1%
E 14
 
10.6%
T 14
 
10.6%
A 9
 
6.8%
N 9
 
6.8%
R 8
 
6.1%
L 7
 
5.3%
G 7
 
5.3%
M 7
 
5.3%
D 6
 
4.5%
Other values (10) 35
26.5%
Lowercase Letter
ValueCountFrequency (%)
e 5
18.5%
n 4
14.8%
o 3
11.1%
a 3
11.1%
t 2
 
7.4%
c 2
 
7.4%
l 2
 
7.4%
g 2
 
7.4%
r 1
 
3.7%
i 1
 
3.7%
Other values (2) 2
 
7.4%
Other Punctuation
ValueCountFrequency (%)
& 11
84.6%
. 1
 
7.7%
, 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
2 4
66.7%
8 1
 
16.7%
1 1
 
16.7%
Open Punctuation
ValueCountFrequency (%)
( 506
97.1%
（ 15
 
2.9%
Close Punctuation
ValueCountFrequency (%)
) 505
96.9%
） 16
 
3.1%
Space Separator
ValueCountFrequency (%)
91
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5382
80.4%
Common 1156
 
17.3%
Latin 159
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 591
 
11.0%
이 208
 
3.9%
스 191
 
3.5%
사 112
 
2.1%
에 103
 
1.9%
기 96
 
1.8%
회 94
 
1.7%
식 90
 
1.7%
공 88
 
1.6%
아 85
 
1.6%
Other values (393) 3724
69.2%
Latin
ValueCountFrequency (%)
C 16
 
10.1%
E 14
 
8.8%
T 14
 
8.8%
A 9
 
5.7%
N 9
 
5.7%
R 8
 
5.0%
L 7
 
4.4%
G 7
 
4.4%
M 7
 
4.4%
D 6
 
3.8%
Other values (22) 62
39.0%
Common
ValueCountFrequency (%)
( 506
43.8%
) 505
43.7%
91
 
7.9%
） 16
 
1.4%
（ 15
 
1.3%
& 11
 
1.0%
2 4
 
0.3%
- 4
 
0.3%
8 1
 
0.1%
. 1
 
0.1%
Other values (2) 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5382
80.4%
ASCII 1284
 
19.2%
None 31
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 591
 
11.0%
이 208
 
3.9%
스 191
 
3.5%
사 112
 
2.1%
에 103
 
1.9%
기 96
 
1.8%
회 94
 
1.7%
식 90
 
1.7%
공 88
 
1.6%
아 85
 
1.6%
Other values (393) 3724
69.2%
ASCII
ValueCountFrequency (%)
( 506
39.4%
) 505
39.3%
91
 
7.1%
C 16
 
1.2%
E 14
 
1.1%
T 14
 
1.1%
& 11
 
0.9%
A 9
 
0.7%
N 9
 
0.7%
R 8
 
0.6%
Other values (32) 101
 
7.9%
None
ValueCountFrequency (%)
） 16
51.6%
（ 15
48.4%

주소
Text

Distinct746
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2023-12-12T20:37:14.070591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length32
Mean length24.615839
Min length17

Characters and Unicode

Total characters20825
Distinct characters344
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

Unique698 ?
Unique (%)82.5%

Sample

1st row서울특별시 성동구 성수이로7길 27 (성수동2가)
2nd row서울특별시 성북구 장위로28길 2-1 (장위동)
3rd row경기도 안산시 단원구 산단로19번길 169 (목내동)
4th row대구광역시 달서구 달서대로 58 (유천동)
5th row경기도 용인시 처인구 남사면 경기동로 21-11
ValueCountFrequency (%)
경기도 277
 
6.2%
서울특별시 161
 
3.6%
경상북도 57
 
1.3%
경상남도 57
 
1.3%
강원도 49
 
1.1%
수원시 43
 
1.0%
충청남도 41
 
0.9%
금천구 38
 
0.9%
부산광역시 36
 
0.8%
영통구 35
 
0.8%
Other values (1639) 3645
82.1%
2023-12-12T20:37:14.940081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3593
 
17.3%
시 834
 
4.0%
로 762
 
3.7%
동 726
 
3.5%
1 669
 
3.2%
) 598
 
2.9%
( 598
 
2.9%
구 576
 
2.8%
도 566
 
2.7%
경 426
 
2.0%
Other values (334) 11477
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12736
61.2%
Space Separator 3593
 
17.3%
Decimal Number 3095
 
14.9%
Close Punctuation 598
 
2.9%
Open Punctuation 598
 
2.9%
Dash Punctuation 191
 
0.9%
Other Punctuation 10
 
< 0.1%
Uppercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 834
 
6.5%
로 762
 
6.0%
동 726
 
5.7%
구 576
 
4.5%
도 566
 
4.4%
경 426
 
3.3%
산 384
 
3.0%
길 370
 
2.9%
기 328
 
2.6%
서 296
 
2.3%
Other values (315) 7468
58.6%
Decimal Number
ValueCountFrequency (%)
1 669
21.6%
2 413
13.3%
4 345
11.1%
3 340
11.0%
6 260
 
8.4%
7 237
 
7.7%
5 236
 
7.6%
0 226
 
7.3%
9 193
 
6.2%
8 176
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
I 2
50.0%
S 1
25.0%
T 1
25.0%
Other Punctuation
ValueCountFrequency (%)
， 9
90.0%
＆ 1
 
10.0%
Space Separator
ValueCountFrequency (%)
3593
100.0%
Close Punctuation
ValueCountFrequency (%)
) 598
100.0%
Open Punctuation
ValueCountFrequency (%)
( 598
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 191
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12736
61.2%
Common 8085
38.8%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 834
 
6.5%
로 762
 
6.0%
동 726
 
5.7%
구 576
 
4.5%
도 566
 
4.4%
경 426
 
3.3%
산 384
 
3.0%
길 370
 
2.9%
기 328
 
2.6%
서 296
 
2.3%
Other values (315) 7468
58.6%
Common
ValueCountFrequency (%)
3593
44.4%
1 669
 
8.3%
) 598
 
7.4%
( 598
 
7.4%
2 413
 
5.1%
4 345
 
4.3%
3 340
 
4.2%
6 260
 
3.2%
7 237
 
2.9%
5 236
 
2.9%
Other values (6) 796
 
9.8%
Latin
ValueCountFrequency (%)
I 2
50.0%
S 1
25.0%
T 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12736
61.2%
ASCII 8079
38.8%
None 10
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3593
44.5%
1 669
 
8.3%
) 598
 
7.4%
( 598
 
7.4%
2 413
 
5.1%
4 345
 
4.3%
3 340
 
4.2%
6 260
 
3.2%
7 237
 
2.9%
5 236
 
2.9%
Other values (7) 790
 
9.8%
Hangul
ValueCountFrequency (%)
시 834
 
6.5%
로 762
 
6.0%
동 726
 
5.7%
구 576
 
4.5%
도 566
 
4.4%
경 426
 
3.3%
산 384
 
3.0%
길 370
 
2.9%
기 328
 
2.6%
서 296
 
2.3%
Other values (315) 7468
58.6%
None
ValueCountFrequency (%)
， 9
90.0%
＆ 1
 
10.0%

상세주소
Text

Distinct761
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2023-12-12T20:37:15.501559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length37
Mean length10.271868
Min length1

Characters and Unicode

Total characters8690
Distinct characters441
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique746 ?
Unique (%)88.2%

Sample

1st row코오롱2차 908호
2nd row233-234
3rd rowHR인사팀
4th row성서공단 2차 2지구 54B9L
5th row(주)한국울프람
ValueCountFrequency (%)
70
 
4.0%
부산광역시 16
 
0.9%
경남 14
 
0.8%
201호 13
 
0.7%
경기도 13
 
0.7%
4층 12
 
0.7%
강서구 12
 
0.7%
한국나노기술원 11
 
0.6%
창원시 11
 
0.6%
3층 11
 
0.6%
Other values (1239) 1555
89.5%
2023-12-12T20:37:16.332288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
895
 
10.3%
1 375
 
4.3%
0 257
 
3.0%
2 243
 
2.8%
3 203
 
2.3%
호 187
 
2.2%
산 160
 
1.8%
4 156
 
1.8%
) 153
 
1.8%
( 151
 
1.7%
Other values (431) 5910
68.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5257
60.5%
Decimal Number 1753
 
20.2%
Space Separator 895
 
10.3%
Uppercase Letter 173
 
2.0%
Close Punctuation 155
 
1.8%
Open Punctuation 152
 
1.7%
Dash Punctuation 143
 
1.6%
Other Punctuation 98
 
1.1%
Lowercase Letter 59
 
0.7%
Math Symbol 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 187
 
3.6%
산 160
 
3.0%
주 149
 
2.8%
동 134
 
2.5%
시 121
 
2.3%
원 108
 
2.1%
구 107
 
2.0%
로 105
 
2.0%
이 102
 
1.9%
기 102
 
1.9%
Other values (373) 3982
75.7%
Uppercase Letter
ValueCountFrequency (%)
C 29
16.8%
B 24
13.9%
L 13
 
7.5%
A 10
 
5.8%
S 10
 
5.8%
I 10
 
5.8%
F 10
 
5.8%
K 9
 
5.2%
T 8
 
4.6%
O 6
 
3.5%
Other values (10) 44
25.4%
Lowercase Letter
ValueCountFrequency (%)
e 7
11.9%
k 5
8.5%
s 5
8.5%
r 5
8.5%
a 5
8.5%
o 5
8.5%
i 5
8.5%
n 5
8.5%
c 3
 
5.1%
z 3
 
5.1%
Other values (7) 11
18.6%
Decimal Number
ValueCountFrequency (%)
1 375
21.4%
0 257
14.7%
2 243
13.9%
3 203
11.6%
4 156
8.9%
5 144
 
8.2%
6 115
 
6.6%
8 100
 
5.7%
9 84
 
4.8%
7 76
 
4.3%
Other Punctuation
ValueCountFrequency (%)
. 72
73.5%
, 21
 
21.4%
& 3
 
3.1%
/ 2
 
2.0%
Close Punctuation
ValueCountFrequency (%)
) 153
98.7%
） 2
 
1.3%
Open Punctuation
ValueCountFrequency (%)
( 151
99.3%
（ 1
 
0.7%
Space Separator
ValueCountFrequency (%)
895
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 143
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5257
60.5%
Common 3201
36.8%
Latin 232
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 187
 
3.6%
산 160
 
3.0%
주 149
 
2.8%
동 134
 
2.5%
시 121
 
2.3%
원 108
 
2.1%
구 107
 
2.0%
로 105
 
2.0%
이 102
 
1.9%
기 102
 
1.9%
Other values (373) 3982
75.7%
Latin
ValueCountFrequency (%)
C 29
 
12.5%
B 24
 
10.3%
L 13
 
5.6%
A 10
 
4.3%
S 10
 
4.3%
I 10
 
4.3%
F 10
 
4.3%
K 9
 
3.9%
T 8
 
3.4%
e 7
 
3.0%
Other values (27) 102
44.0%
Common
ValueCountFrequency (%)
895
28.0%
1 375
11.7%
0 257
 
8.0%
2 243
 
7.6%
3 203
 
6.3%
4 156
 
4.9%
) 153
 
4.8%
( 151
 
4.7%
5 144
 
4.5%
- 143
 
4.5%
Other values (11) 481
15.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5257
60.5%
ASCII 3430
39.5%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
895
26.1%
1 375
10.9%
0 257
 
7.5%
2 243
 
7.1%
3 203
 
5.9%
4 156
 
4.5%
) 153
 
4.5%
( 151
 
4.4%
5 144
 
4.2%
- 143
 
4.2%
Other values (46) 710
20.7%
Hangul
ValueCountFrequency (%)
호 187
 
3.6%
산 160
 
3.0%
주 149
 
2.8%
동 134
 
2.5%
시 121
 
2.3%
원 108
 
2.1%
구 107
 
2.0%
로 105
 
2.0%
이 102
 
1.9%
기 102
 
1.9%
Other values (373) 3982
75.7%
None
ValueCountFrequency (%)
） 2
66.7%
（ 1
33.3%

우편번호
Text

Distinct621
Distinct (%)73.4%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2023-12-12T20:37:16.843765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.71513
Min length1

Characters and Unicode

Total characters4835
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

Unique513 ?
Unique (%)60.6%

Sample

1st row133827
2nd row136837
3rd row425100
4th row704390
5th row449884
ValueCountFrequency (%)
210340 25
 
3.0%
443270 24
 
2.8%
153801 12
 
1.4%
530370 8
 
0.9%
730853 6
 
0.7%
421808 6
 
0.7%
462807 5
 
0.6%
449884 5
 
0.6%
305510 5
 
0.6%
4672 5
 
0.6%
Other values (611) 745
88.1%
2023-12-12T20:37:17.585031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 678
14.0%
0 618
12.8%
3 592
12.2%
1 591
12.2%
8 544
11.3%
5 459
9.5%
2 425
8.8%
6 345
7.1%
7 344
7.1%
9 238
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4834
> 99.9%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 678
14.0%
0 618
12.8%
3 592
12.2%
1 591
12.2%
8 544
11.3%
5 459
9.5%
2 425
8.8%
6 345
7.1%
7 344
7.1%
9 238
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4835
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 678
14.0%
0 618
12.8%
3 592
12.2%
1 591
12.2%
8 544
11.3%
5 459
9.5%
2 425
8.8%
6 345
7.1%
7 344
7.1%
9 238
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4835
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 678
14.0%
0 618
12.8%
3 592
12.2%
1 591
12.2%
8 544
11.3%
5 459
9.5%
2 425
8.8%
6 345
7.1%
7 344
7.1%
9 238
 
4.9%

대표명
Text

Distinct826
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2023-12-12T20:37:18.220315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length3
Mean length3.1241135
Min length2

Characters and Unicode

Total characters2643
Distinct characters242
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique806 ?
Unique (%)95.3%

Sample

1st row김정경
2nd row최환순
3rd row송해내
4th row권세현
5th row하민호
ValueCountFrequency (%)
박정호 3
 
0.3%
전상욱 2
 
0.2%
김민석 2
 
0.2%
이수성 2
 
0.2%
이태훈 2
 
0.2%
김병규 2
 
0.2%
외 2
 
0.2%
최진석 2
 
0.2%
정운진 2
 
0.2%
김윤섭 2
 
0.2%
Other values (828) 843
97.6%
2023-12-12T20:37:19.108240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 149
 
5.6%
이 126
 
4.8%
정 79
 
3.0%
영 70
 
2.6%
박 68
 
2.6%
최 56
 
2.1%
현 53
 
2.0%
성 47
 
1.8%
재 45
 
1.7%
진 44
 
1.7%
Other values (232) 1906
72.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2598
98.3%
Space Separator 18
 
0.7%
Other Punctuation 15
 
0.6%
Uppercase Letter 10
 
0.4%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 149
 
5.7%
이 126
 
4.8%
정 79
 
3.0%
영 70
 
2.7%
박 68
 
2.6%
최 56
 
2.2%
현 53
 
2.0%
성 47
 
1.8%
재 45
 
1.7%
진 44
 
1.7%
Other values (219) 1861
71.6%
Uppercase Letter
ValueCountFrequency (%)
N 2
20.0%
Z 1
10.0%
H 1
10.0%
I 1
10.0%
B 1
10.0%
O 1
10.0%
U 1
10.0%
G 1
10.0%
A 1
10.0%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Other Punctuation
ValueCountFrequency (%)
, 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2598
98.3%
Common 35
 
1.3%
Latin 10
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 149
 
5.7%
이 126
 
4.8%
정 79
 
3.0%
영 70
 
2.7%
박 68
 
2.6%
최 56
 
2.2%
현 53
 
2.0%
성 47
 
1.8%
재 45
 
1.7%
진 44
 
1.7%
Other values (219) 1861
71.6%
Latin
ValueCountFrequency (%)
N 2
20.0%
Z 1
10.0%
H 1
10.0%
I 1
10.0%
B 1
10.0%
O 1
10.0%
U 1
10.0%
G 1
10.0%
A 1
10.0%
Common
ValueCountFrequency (%)
18
51.4%
, 15
42.9%
2 1
 
2.9%
1 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2598
98.3%
ASCII 45
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 149
 
5.7%
이 126
 
4.8%
정 79
 
3.0%
영 70
 
2.7%
박 68
 
2.6%
최 56
 
2.2%
현 53
 
2.0%
성 47
 
1.8%
재 45
 
1.7%
진 44
 
1.7%
Other values (219) 1861
71.6%
ASCII
ValueCountFrequency (%)
18
40.0%
, 15
33.3%
N 2
 
4.4%
Z 1
 
2.2%
H 1
 
2.2%
I 1
 
2.2%
B 1
 
2.2%
O 1
 
2.2%
U 1
 
2.2%
G 1
 
2.2%
Other values (3) 3
 
6.7%

전화번호1
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)2.8%
Missing270
Missing (%)31.9%
Infinite0
Infinite (%)0.0%
Mean31.762153
Minimum2
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.6 KiB
2023-12-12T20:37:19.349114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median31
Q351
95-th percentile70
Maximum70
Range68
Interquartile range (IQR)49

Descriptive statistics

Standard deviation21.209039
Coefficient of variation (CV)0.66774564
Kurtosis-0.87516503
Mean31.762153
Median Absolute Deviation (MAD)20.5
Skewness-0.0013852811
Sum18295
Variance449.82333
MonotonicityNot monotonic
2023-12-12T20:37:19.606513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
31 172
20.3%
2 149
17.6%
70 41
 
4.8%
33 36
 
4.3%
53 32
 
3.8%
32 30
 
3.5%
41 22
 
2.6%
54 21
 
2.5%
61 20
 
2.4%
42 15
 
1.8%
Other values (6) 38
 
4.5%
(Missing) 270
31.9%
ValueCountFrequency (%)
2 149
17.6%
31 172
20.3%
32 30
 
3.5%
33 36
 
4.3%
41 22
 
2.6%
42 15
 
1.8%
43 7
 
0.8%
51 6
 
0.7%
52 3
 
0.4%
53 32
 
3.8%
ValueCountFrequency (%)
70 41
4.8%
63 8
 
0.9%
62 4
 
0.5%
61 20
2.4%
55 10
 
1.2%
54 21
2.5%
53 32
3.8%
52 3
 
0.4%
51 6
 
0.7%
43 7
 
0.8%

전화번호2
Real number (ℝ)

MISSING  ZEROS 

Distinct389
Distinct (%)67.5%
Missing270
Missing (%)31.9%
Infinite0
Infinite (%)0.0%
Mean1497.9462
Minimum0
Maximum8898
Zeros18
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size7.6 KiB
2023-12-12T20:37:19.890533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile227.5
Q1442
median645
Q3917.25
95-th percentile7800
Maximum8898
Range8898
Interquartile range (IQR)475.25

Descriptive statistics

Standard deviation2156.0879
Coefficient of variation (CV)1.4393627
Kurtosis3.937109
Mean1497.9462
Median Absolute Deviation (MAD)239.5
Skewness2.2565706
Sum862817
Variance4648715
MonotonicityNot monotonic
2023-12-12T20:37:20.171033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18
 
2.1%
546 12
 
1.4%
3282 11
 
1.3%
888 7
 
0.8%
641 5
 
0.6%
460 5
 
0.6%
730 5
 
0.6%
655 5
 
0.6%
646 5
 
0.6%
330 5
 
0.6%
Other values (379) 498
58.9%
(Missing) 270
31.9%
ValueCountFrequency (%)
0 18
2.1%
200 1
 
0.1%
205 1
 
0.1%
210 1
 
0.1%
211 3
 
0.4%
212 1
 
0.1%
216 1
 
0.1%
219 1
 
0.1%
221 1
 
0.1%
223 1
 
0.1%
ValueCountFrequency (%)
8898 1
0.1%
8885 1
0.1%
8823 1
0.1%
8792 1
0.1%
8680 1
0.1%
8670 1
0.1%
8666 2
0.2%
8622 1
0.1%
8345 1
0.1%
8290 1
0.1%

전화번호3
Real number (ℝ)

MISSING  ZEROS 

Distinct522
Distinct (%)90.6%
Missing270
Missing (%)31.9%
Infinite0
Infinite (%)0.0%
Mean4423.7014
Minimum0
Maximum9982
Zeros18
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size7.6 KiB
2023-12-12T20:37:20.432875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile109
Q11940.5
median4152.5
Q37046.5
95-th percentile9156.5
Maximum9982
Range9982
Interquartile range (IQR)5106

Descriptive statistics

Standard deviation2965.324
Coefficient of variation (CV)0.67032643
Kurtosis-1.2261745
Mean4423.7014
Median Absolute Deviation (MAD)2579.5
Skewness0.18615505
Sum2548052
Variance8793146.3
MonotonicityNot monotonic
2023-12-12T20:37:20.712686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18
 
2.1%
2804 11
 
1.3%
5800 3
 
0.4%
1084 2
 
0.2%
4339 2
 
0.2%
330 2
 
0.2%
7726 2
 
0.2%
9673 2
 
0.2%
2213 2
 
0.2%
556 2
 
0.2%
Other values (512) 530
62.6%
(Missing) 270
31.9%
ValueCountFrequency (%)
0 18
2.1%
8 1
 
0.1%
13 1
 
0.1%
19 1
 
0.1%
27 1
 
0.1%
31 1
 
0.1%
40 1
 
0.1%
54 1
 
0.1%
56 1
 
0.1%
70 1
 
0.1%
ValueCountFrequency (%)
9982 2
0.2%
9979 1
0.1%
9967 1
0.1%
9902 1
0.1%
9888 1
0.1%
9875 1
0.1%
9836 1
0.1%
9804 1
0.1%
9774 1
0.1%
9762 1
0.1%

업종
Text

Distinct175
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2023-12-12T20:37:21.204134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length26
Mean length7.3463357
Min length2

Characters and Unicode

Total characters6215
Distinct characters231
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

Unique156 ?
Unique (%)18.4%

Sample

1st row제조업
2nd row도매 및 소매업
3rd row제조업
4th row제조업
5th row제조업
ValueCountFrequency (%)
제조업 353
19.4%
및 237
13.0%
서비스업 210
11.6%
기술 204
11.2%
과학 202
11.1%
전문 202
11.1%
제조 75
 
4.1%
도매 27
 
1.5%
소매업 19
 
1.0%
자동차부품 17
 
0.9%
Other values (207) 271
14.9%
2023-12-12T20:37:21.931587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
971
15.6%
업 609
 
9.8%
제 464
 
7.5%
조 456
 
7.3%
, 276
 
4.4%
기 263
 
4.2%
및 250
 
4.0%
전 238
 
3.8%
비 234
 
3.8%
스 232
 
3.7%
Other values (221) 2222
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4950
79.6%
Space Separator 971
 
15.6%
Other Punctuation 280
 
4.5%
Uppercase Letter 7
 
0.1%
Decimal Number 5
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 609
 
12.3%
제 464
 
9.4%
조 456
 
9.2%
기 263
 
5.3%
및 250
 
5.1%
전 238
 
4.8%
비 234
 
4.7%
스 232
 
4.7%
서 225
 
4.5%
학 220
 
4.4%
Other values (209) 1759
35.5%
Other Punctuation
ValueCountFrequency (%)
, 276
98.6%
. 3
 
1.1%
/ 1
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
D 3
42.9%
E 2
28.6%
L 2
28.6%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
3 2
40.0%
1 1
20.0%
Space Separator
ValueCountFrequency (%)
971
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4950
79.6%
Common 1258
 
20.2%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 609
 
12.3%
제 464
 
9.4%
조 456
 
9.2%
기 263
 
5.3%
및 250
 
5.1%
전 238
 
4.8%
비 234
 
4.7%
스 232
 
4.7%
서 225
 
4.5%
학 220
 
4.4%
Other values (209) 1759
35.5%
Common
ValueCountFrequency (%)
971
77.2%
, 276
 
21.9%
. 3
 
0.2%
2 2
 
0.2%
3 2
 
0.2%
/ 1
 
0.1%
) 1
 
0.1%
( 1
 
0.1%
1 1
 
0.1%
Latin
ValueCountFrequency (%)
D 3
42.9%
E 2
28.6%
L 2
28.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4950
79.6%
ASCII 1265
 
20.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
971
76.8%
, 276
 
21.8%
. 3
 
0.2%
D 3
 
0.2%
E 2
 
0.2%
2 2
 
0.2%
3 2
 
0.2%
L 2
 
0.2%
/ 1
 
0.1%
) 1
 
0.1%
Other values (2) 2
 
0.2%
Hangul
ValueCountFrequency (%)
업 609
 
12.3%
제 464
 
9.4%
조 456
 
9.2%
기 263
 
5.3%
및 250
 
5.1%
전 238
 
4.8%
비 234
 
4.7%
스 232
 
4.7%
서 225
 
4.5%
학 220
 
4.4%
Other values (209) 1759
35.5%

홈페이지
Text

MISSING 

Distinct199
Distinct (%)100.0%
Missing647
Missing (%)76.5%
Memory size6.7 KiB
2023-12-12T20:37:22.376738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length17.306533
Min length10

Characters and Unicode

Total characters3444
Distinct characters43
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique199 ?
Unique (%)100.0%

Sample

1st rowwww.hannam-ceramic.com
2nd rowwww.amogreentech.co.kr
3rd rowwww.ntceramic.com
4th rowhttp://www.samhwaceramic
5th rowwww.kosti.or.kr
ValueCountFrequency (%)
hanwhacorp.co.kr 1
 
0.5%
www.theglasslife.com 1
 
0.5%
apple.or.kr 1
 
0.5%
http://finedie.co.kr 1
 
0.5%
http://www.luxco.co.kr 1
 
0.5%
www.servan.co.kr 1
 
0.5%
http://www.dshm.co.kr 1
 
0.5%
http://www.ktl.re.kr 1
 
0.5%
www.dsfinetec.co.kr 1
 
0.5%
www.shiniltop.com 1
 
0.5%
Other values (189) 189
95.0%
2023-12-12T20:37:23.125522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 569
16.5%
. 494
14.3%
o 277
 
8.0%
c 262
 
7.6%
r 202
 
5.9%
k 165
 
4.8%
e 154
 
4.5%
m 152
 
4.4%
t 149
 
4.3%
n 125
 
3.6%
Other values (33) 895
26.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2813
81.7%
Other Punctuation 594
 
17.2%
Dash Punctuation 14
 
0.4%
Decimal Number 14
 
0.4%
Other Letter 6
 
0.2%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 569
20.2%
o 277
9.8%
c 262
9.3%
r 202
 
7.2%
k 165
 
5.9%
e 154
 
5.5%
m 152
 
5.4%
t 149
 
5.3%
n 125
 
4.4%
a 120
 
4.3%
Other values (16) 638
22.7%
Other Letter
ValueCountFrequency (%)
이 1
16.7%
사 1
16.7%
상 1
16.7%
학 1
16.7%
화 1
16.7%
레 1
16.7%
Decimal Number
ValueCountFrequency (%)
2 5
35.7%
1 5
35.7%
3 2
 
14.3%
9 1
 
7.1%
7 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
. 494
83.2%
/ 69
 
11.6%
: 30
 
5.1%
@ 1
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Uppercase Letter
ValueCountFrequency (%)
W 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2816
81.8%
Common 622
 
18.1%
Hangul 6
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 569
20.2%
o 277
9.8%
c 262
9.3%
r 202
 
7.2%
k 165
 
5.9%
e 154
 
5.5%
m 152
 
5.4%
t 149
 
5.3%
n 125
 
4.4%
a 120
 
4.3%
Other values (17) 641
22.8%
Common
ValueCountFrequency (%)
. 494
79.4%
/ 69
 
11.1%
: 30
 
4.8%
- 14
 
2.3%
2 5
 
0.8%
1 5
 
0.8%
3 2
 
0.3%
@ 1
 
0.2%
9 1
 
0.2%
7 1
 
0.2%
Hangul
ValueCountFrequency (%)
이 1
16.7%
사 1
16.7%
상 1
16.7%
학 1
16.7%
화 1
16.7%
레 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3438
99.8%
Hangul 6
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 569
16.6%
. 494
14.4%
o 277
 
8.1%
c 262
 
7.6%
r 202
 
5.9%
k 165
 
4.8%
e 154
 
4.5%
m 152
 
4.4%
t 149
 
4.3%
n 125
 
3.6%
Other values (27) 889
25.9%
Hangul
ValueCountFrequency (%)
이 1
16.7%
사 1
16.7%
상 1
16.7%
학 1
16.7%
화 1
16.7%
레 1
16.7%

Interactions

2023-12-12T20:37:11.296350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:37:10.258199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:37:10.794913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:37:11.487377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:37:10.448229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:37:10.980757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:37:11.650539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:37:10.609768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:37:11.134586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:37:23.307406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전화번호1전화번호2전화번호3
전화번호11.0000.6220.157
전화번호20.6221.0000.212
전화번호30.1570.2121.000
2023-12-12T20:37:23.988345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전화번호1전화번호2전화번호3
전화번호11.000-0.0100.100
전화번호2-0.0101.0000.085
전화번호30.1000.0851.000

Missing values

2023-12-12T20:37:11.901672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:37:12.171796image/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.
2023-12-12T20:37:12.379991image/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

회원사명주소상세주소우편번호대표명전화번호1전화번호2전화번호3업종홈페이지
0스타치과기공소서울특별시 성동구 성수이로7길 27 (성수동2가)코오롱2차 908호133827김정경200제조업<NA>
1메덴스서울특별시 성북구 장위로28길 2-1 (장위동)233-234136837최환순200도매 및 소매업<NA>
2한국몰렉스유한회사경기도 안산시 단원구 산단로19번길 169 (목내동)HR인사팀425100송해내24905812제조업<NA>
3거성세라믹스대구광역시 달서구 달서대로 58 (유천동)성서공단 2차 2지구 54B9L704390권세현535826736제조업<NA>
4주식회사 한국울프람경기도 용인시 처인구 남사면 경기동로 21-11(주)한국울프람449884하민호7077142097제조업<NA>
5대동세라믹스대구광역시 달서구 달구벌대로 965 (파호동)240길 25 대동세라믹스704220추창오536344582제조업<NA>
6대동정밀세라믹대구광역시 달서구 성서공단로25길 51 (갈산동)58 대동정밀세라믹704900이상룡535924422제조업<NA>
7대양세라믹대구광역시 서구 문화로 14 (이현동)34 대양세라믹703830권영배535585215제조업<NA>
8덕성세라믹스대구광역시 달서구 성서서로69길 51 (신당동)23 덕성세라믹스704922지형선535838188제조업<NA>
9동양뉴세라믹스대구광역시 북구 검단로31길 31 (검단동)19-8 동양뉴세라믹스702800권택수533841112제조업<NA>
회원사명주소상세주소우편번호대표명전화번호1전화번호2전화번호3업종홈페이지
836극동제연공업(주)경기도 평택시 포승읍 평택항로 286경기도 평택시 포승읍 평택항로 2861796박재윤<NA><NA><NA>부동액, 브레이크액http://www.jeyen.com
837코스파(주)경상북도 김천시 공단로 152-19 (대광동)경북 김천시 공단로 152-193951홍신협<NA><NA><NA>연경성플라스틱,압출발포성형www.kospa.co.kr
838(주)건화경상북도 경산시 진량읍 공단4로5길 33경상북도 경산시 진량읍 공단4로5길 333840허용훈<NA><NA><NA>자동차 부품www.kunhwa.co.kr
839(주)나래전자부산광역시 사상구 사상로368번길 41-6 (덕포동)부산광역시 사상구 사상로368번길 41-6(덕포동)4694김동휘<NA><NA><NA>전자제품<NA>
840디티알전기(주)경상남도 양산시 유산공단11길 16 (유산동)경남 양산시 유산공단 11길 165052김상헌<NA><NA><NA>전기절연문제조, 판매업www.dtrelectric.co.kr
841(주)엠에스알테크놀러지서울특별시 송파구 법원로11길 7 (문정동)서울시 송파구 법원로 11길 7, C-812(문정현대지식산업센터 1-2)586송명수<NA><NA><NA>전기전자반도체장비, 광학전자부품조립www.msr.co.kr
842스마테크(주)경기도 용인시 기흥구 동백중앙로16번길 16-4 (중동)경기도 용인시 기흥구 동백중앙로 16-4, 1동 706호 (중동, 에이스동백타워)1705이충하<NA><NA><NA>화학외www.smatech.co.kr
843익스팬테크(주)경기도 수원시 권선구 산업로155번길 110 (고색동)경기도 수원시 권선구 산업로 155번길 110 익스팬테크(주)1668김성열<NA><NA><NA>전자부품www.expantech.co.kr
844(주)캐리마서울특별시 강서구 공항대로59다길 167 (염창동)서울시 강서구 공항대로59다길167 (염창동, 캐리마)755이병극<NA><NA><NA>3D프린터외www.carima.co.kr
845바이슨(주)충청북도 청주시 청원구 오창읍 중심상업2로 48충북 청주시 청원구 오창읍 중심상업2로 482819문덕주<NA><NA><NA>연마석, 정밀화학제품www.microchem.co.kr

Duplicate rows

Most frequently occurring

회원사명주소상세주소우편번호대표명전화번호1전화번호2전화번호3업종홈페이지# duplicates
0(재단법인)서남권청정에너지기술연구원전라남도 목포시 삼향천로 177 (석현동)서남권청정에너지기술연구원530400백수웅612881050전문, 과학 및 기술 서비스업<NA>2