Overview

Dataset statistics

Number of variables15
Number of observations1127
Missing cells1476
Missing cells (%)8.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory133.3 KiB
Average record size in memory121.1 B

Variable types

Numeric1
Text14

Dataset

Description인증회차,인증번호,인증제품명,인증제품설명,모델명,업체 상호명,업체 담당자,업체 주소,업체 연락처,업체 이메일,재질,규격 가로(mm),규격 세로(mm),규격 높이(mm),칼라
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-2203/S/1/datasetView.do

Alerts

인증제품설명 has 237 (21.0%) missing valuesMissing
재질 has 238 (21.1%) missing valuesMissing
규격 가로(mm) has 240 (21.3%) missing valuesMissing
규격 세로(mm) has 271 (24.0%) missing valuesMissing
규격 높이(mm) has 242 (21.5%) missing valuesMissing
칼라 has 241 (21.4%) missing valuesMissing

Reproduction

Analysis started2024-05-11 02:45:58.143090
Analysis finished2024-05-11 02:46:04.405482
Duration6.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

인증회차
Real number (ℝ)

Distinct28
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.427684
Minimum1
Maximum28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.0 KiB
2024-05-11T02:46:04.596679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q16
median11
Q320
95-th percentile27
Maximum28
Range27
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.1470639
Coefficient of variation (CV)0.60673634
Kurtosis-1.2213663
Mean13.427684
Median Absolute Deviation (MAD)6
Skewness0.39946339
Sum15133
Variance66.37465
MonotonicityNot monotonic
2024-05-11T02:46:05.058385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
6 116
 
10.3%
8 98
 
8.7%
4 83
 
7.4%
5 62
 
5.5%
26 54
 
4.8%
24 51
 
4.5%
11 49
 
4.3%
28 47
 
4.2%
20 46
 
4.1%
18 45
 
4.0%
Other values (18) 476
42.2%
ValueCountFrequency (%)
1 11
 
1.0%
2 26
 
2.3%
3 22
 
2.0%
4 83
7.4%
5 62
5.5%
6 116
10.3%
7 31
 
2.8%
8 98
8.7%
9 43
 
3.8%
10 32
 
2.8%
ValueCountFrequency (%)
28 47
4.2%
27 40
3.5%
26 54
4.8%
25 25
2.2%
24 51
4.5%
23 14
 
1.2%
22 28
2.5%
21 18
 
1.6%
20 46
4.1%
19 19
 
1.7%

인증번호
Text

Distinct1125
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
2024-05-11T02:46:05.759916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters11270
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1123 ?
Unique (%)99.6%

Sample

1st rowSGPD-00020
2nd rowSGPD-00028
3rd rowSGPD-00057
4th rowSGPD-00019
5th rowSGPD-00052
ValueCountFrequency (%)
sgpd-00624 2
 
0.2%
sgpd-00043 2
 
0.2%
sgpd-01130 1
 
0.1%
sgpd-00629 1
 
0.1%
sgpd-00486 1
 
0.1%
sgpd-00569 1
 
0.1%
sgpd-00780 1
 
0.1%
sgpd-00554 1
 
0.1%
sgpd-00783 1
 
0.1%
sgpd-00664 1
 
0.1%
Other values (1115) 1115
98.9%
2024-05-11T02:46:07.179411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2548
22.6%
S 1127
10.0%
P 1127
10.0%
D 1127
10.0%
- 1127
10.0%
G 1127
10.0%
1 506
 
4.5%
2 332
 
2.9%
3 327
 
2.9%
4 324
 
2.9%
Other values (7) 1598
14.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5631
50.0%
Uppercase Letter 4512
40.0%
Dash Punctuation 1127
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2548
45.2%
1 506
 
9.0%
2 332
 
5.9%
3 327
 
5.8%
4 324
 
5.8%
7 321
 
5.7%
5 321
 
5.7%
9 318
 
5.6%
8 317
 
5.6%
6 317
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
S 1127
25.0%
P 1127
25.0%
D 1127
25.0%
G 1127
25.0%
A 2
 
< 0.1%
B 2
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 1127
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6758
60.0%
Latin 4512
40.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2548
37.7%
- 1127
16.7%
1 506
 
7.5%
2 332
 
4.9%
3 327
 
4.8%
4 324
 
4.8%
7 321
 
4.7%
5 321
 
4.7%
9 318
 
4.7%
8 317
 
4.7%
Latin
ValueCountFrequency (%)
S 1127
25.0%
P 1127
25.0%
D 1127
25.0%
G 1127
25.0%
A 2
 
< 0.1%
B 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11270
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2548
22.6%
S 1127
10.0%
P 1127
10.0%
D 1127
10.0%
- 1127
10.0%
G 1127
10.0%
1 506
 
4.5%
2 332
 
2.9%
3 327
 
2.9%
4 324
 
2.9%
Other values (7) 1598
14.2%

인증제품명
Text

Distinct634
Distinct (%)56.3%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
2024-05-11T02:46:08.073006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length30
Mean length7.5235138
Min length1

Characters and Unicode

Total characters8479
Distinct characters365
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique539 ?
Unique (%)47.8%

Sample

1st rowAXIS
2nd rowGL-09-F01
3rd rowDWC-130
4th rowARVORE-01
5th rowZBD-500
ValueCountFrequency (%)
펜스 86
 
5.1%
벤치 60
 
3.6%
보행자용 50
 
3.0%
볼라드 48
 
2.8%
평벤치 34
 
2.0%
휀스 29
 
1.7%
교량용펜스 28
 
1.7%
교량용 23
 
1.4%
등벤치 22
 
1.3%
자전거도로용 22
 
1.3%
Other values (705) 1283
76.1%
2024-05-11T02:46:09.344121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
566
 
6.7%
스 299
 
3.5%
- 269
 
3.2%
0 251
 
3.0%
자 249
 
2.9%
용 246
 
2.9%
보 232
 
2.7%
펜 193
 
2.3%
등 150
 
1.8%
치 148
 
1.7%
Other values (355) 5876
69.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4764
56.2%
Uppercase Letter 1216
 
14.3%
Decimal Number 734
 
8.7%
Lowercase Letter 633
 
7.5%
Space Separator 566
 
6.7%
Dash Punctuation 269
 
3.2%
Open Punctuation 115
 
1.4%
Close Punctuation 115
 
1.4%
Math Symbol 27
 
0.3%
Other Punctuation 18
 
0.2%
Other values (3) 22
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 299
 
6.3%
자 249
 
5.2%
용 246
 
5.2%
보 232
 
4.9%
펜 193
 
4.1%
등 150
 
3.1%
치 148
 
3.1%
벤 140
 
2.9%
로 123
 
2.6%
행 119
 
2.5%
Other values (278) 2865
60.1%
Lowercase Letter
ValueCountFrequency (%)
e 99
15.6%
n 71
11.2%
r 54
8.5%
a 52
8.2%
o 47
 
7.4%
i 46
 
7.3%
c 44
 
7.0%
s 36
 
5.7%
g 33
 
5.2%
l 23
 
3.6%
Other values (16) 128
20.2%
Uppercase Letter
ValueCountFrequency (%)
D 111
 
9.1%
B 110
 
9.0%
S 98
 
8.1%
E 88
 
7.2%
A 81
 
6.7%
L 75
 
6.2%
C 75
 
6.2%
P 64
 
5.3%
N 55
 
4.5%
H 54
 
4.4%
Other values (15) 405
33.3%
Decimal Number
ValueCountFrequency (%)
0 251
34.2%
1 146
19.9%
2 95
 
12.9%
3 56
 
7.6%
4 41
 
5.6%
5 37
 
5.0%
9 28
 
3.8%
6 27
 
3.7%
8 27
 
3.7%
7 26
 
3.5%
Other Punctuation
ValueCountFrequency (%)
, 10
55.6%
/ 4
 
22.2%
' 2
 
11.1%
: 2
 
11.1%
Open Punctuation
ValueCountFrequency (%)
( 114
99.1%
[ 1
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 114
99.1%
] 1
 
0.9%
Math Symbol
ValueCountFrequency (%)
+ 26
96.3%
∥ 1
 
3.7%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅲ 1
50.0%
Space Separator
ValueCountFrequency (%)
566
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 269
100.0%
Control
ValueCountFrequency (%)
14
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4763
56.2%
Common 1864
 
22.0%
Latin 1851
 
21.8%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 299
 
6.3%
자 249
 
5.2%
용 246
 
5.2%
보 232
 
4.9%
펜 193
 
4.1%
등 150
 
3.1%
치 148
 
3.1%
벤 140
 
2.9%
로 123
 
2.6%
행 119
 
2.5%
Other values (277) 2864
60.1%
Latin
ValueCountFrequency (%)
D 111
 
6.0%
B 110
 
5.9%
e 99
 
5.3%
S 98
 
5.3%
E 88
 
4.8%
A 81
 
4.4%
L 75
 
4.1%
C 75
 
4.1%
n 71
 
3.8%
P 64
 
3.5%
Other values (43) 979
52.9%
Common
ValueCountFrequency (%)
566
30.4%
- 269
14.4%
0 251
13.5%
1 146
 
7.8%
( 114
 
6.1%
) 114
 
6.1%
2 95
 
5.1%
3 56
 
3.0%
4 41
 
2.2%
5 37
 
2.0%
Other values (14) 175
 
9.4%
Han
ValueCountFrequency (%)
含 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4762
56.2%
ASCII 3712
43.8%
Number Forms 2
 
< 0.1%
Math Operators 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
566
 
15.2%
- 269
 
7.2%
0 251
 
6.8%
1 146
 
3.9%
( 114
 
3.1%
) 114
 
3.1%
D 111
 
3.0%
B 110
 
3.0%
e 99
 
2.7%
S 98
 
2.6%
Other values (64) 1834
49.4%
Hangul
ValueCountFrequency (%)
스 299
 
6.3%
자 249
 
5.2%
용 246
 
5.2%
보 232
 
4.9%
펜 193
 
4.1%
등 150
 
3.1%
치 148
 
3.1%
벤 140
 
2.9%
로 123
 
2.6%
행 119
 
2.5%
Other values (276) 2863
60.1%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㄱ 1
100.0%
CJK
ValueCountFrequency (%)
含 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅲ 1
50.0%

인증제품설명
Text

MISSING 

Distinct841
Distinct (%)94.5%
Missing237
Missing (%)21.0%
Memory size8.9 KiB
2024-05-11T02:46:10.395876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length220
Mean length145.58876
Min length26

Characters and Unicode

Total characters129574
Distinct characters890
Distinct categories16 ?
Distinct scripts5 ?
Distinct blocks12 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique801 ?
Unique (%)90.0%

Sample

1st row사선을 이용한 독창적인 디자인을 통해 최근 실행되고 있는 선진국형 공공디자인 감각에 맞추어 어떤한 지역 및 환경과도 어울러 질 수 있도록 간결하고도 견고하게 고안되었다. 또한 에너지절감을 위한 고효율 LED 광원을 사용하여 장수명에 따른 유지보수를 절감할 수 있는 고기능 제품이다.
2nd row기존 펜스들의 문제점인 경사로 설치로 인한 현장 가공을 줄이기 위해 펜스 기둥 내부에 경사조절 구조를 설계하여 설치장소에 맞추어 자동적으로 경사 설치가 가능한 디자인을 시행한다. 현장 설치로 인한 제품의 완성도 저하를 막고 공사 기간 단축에 효과적인 디자인이다.
3rd row불필요한 요소를 배제하고 기능적인 면을 중점적으로 고려하여 절제된 라인이지만 선의 아름다움을 살린 디자인이다. 형태를 최적화하여 장소에 구애받지 않고 어디에든 조화롭게 어울릴 수 있는 사용자의 편의를 고려한 디자인이다.
4th row목재재질 (소나무 소재)적용으로 자연친화적인 느낌을 강조하였고, 고효율 조명기구인 LED램프의 적용이 가능 (EL램프 선택사항)하다. 심플한 디자인과 자연상태의 마감으로 우수등에 영향을 최소화 하였으며, 야간조명환경과 조화가 용이한 형태 및 범용성을 갖춘 구조를 채택하였다.
5th row저속차량의 충돌에 견딜 수 있도록 내부 구조체에 스틸 파이프를 사용하였다. 실리콘 고무재질의 충격흡수 기능으로 보행자가 충돌시 보호되도록 하였다. 1,000㎜의 적당한 설치 높이로 차량과 보행자가 모두 쉽게 인식할 수 있도록 하였다. 안전을 위하여 외관상 모서리를 모두 둥글게 처리하였다.
ValueCountFrequency (%)
수 452
 
1.6%
디자인 332
 
1.2%
302
 
1.1%
및 226
 
0.8%
있는 221
 
0.8%
있도록 199
 
0.7%
하였다 187
 
0.7%
심플한 172
 
0.6%
디자인으로 166
 
0.6%
사용하여 155
 
0.5%
Other values (8044) 25947
91.5%
2024-05-11T02:46:12.238958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28366
 
21.9%
하 3390
 
2.6%
을 2330
 
1.8%
이 2207
 
1.7%
로 2140
 
1.7%
자 1972
 
1.5%
의 1939
 
1.5%
한 1864
 
1.4%
인 1794
 
1.4%
다 1676
 
1.3%
Other values (880) 81896
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 93963
72.5%
Space Separator 28366
 
21.9%
Other Punctuation 3427
 
2.6%
Decimal Number 1455
 
1.1%
Lowercase Letter 872
 
0.7%
Uppercase Letter 631
 
0.5%
Dash Punctuation 290
 
0.2%
Close Punctuation 211
 
0.2%
Open Punctuation 204
 
0.2%
Math Symbol 72
 
0.1%
Other values (6) 83
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
하 3390
 
3.6%
을 2330
 
2.5%
이 2207
 
2.3%
로 2140
 
2.3%
자 1972
 
2.1%
의 1939
 
2.1%
한 1864
 
2.0%
인 1794
 
1.9%
다 1676
 
1.8%
도 1590
 
1.7%
Other values (779) 73061
77.8%
Uppercase Letter
ValueCountFrequency (%)
S 70
 
11.1%
E 54
 
8.6%
D 49
 
7.8%
T 45
 
7.1%
L 41
 
6.5%
C 39
 
6.2%
A 38
 
6.0%
P 36
 
5.7%
B 31
 
4.9%
I 29
 
4.6%
Other values (18) 199
31.5%
Lowercase Letter
ValueCountFrequency (%)
g 93
10.7%
i 92
10.6%
m 78
 
8.9%
r 76
 
8.7%
s 67
 
7.7%
p 58
 
6.7%
c 57
 
6.5%
e 56
 
6.4%
a 47
 
5.4%
n 38
 
4.4%
Other values (15) 210
24.1%
Other Punctuation
ValueCountFrequency (%)
. 1621
47.3%
, 957
27.9%
& 205
 
6.0%
; 205
 
6.0%
# 205
 
6.0%
* 107
 
3.1%
? 79
 
2.3%
' 30
 
0.9%
/ 9
 
0.3%
% 9
 
0.3%
Decimal Number
ValueCountFrequency (%)
4 255
17.5%
0 221
15.2%
5 182
12.5%
1 164
11.3%
6 160
11.0%
2 139
9.6%
8 112
7.7%
7 83
 
5.7%
3 76
 
5.2%
9 63
 
4.3%
Math Symbol
ValueCountFrequency (%)
= 40
55.6%
▷ 22
30.6%
+ 3
 
4.2%
~ 2
 
2.8%
> 1
 
1.4%
< 1
 
1.4%
→ 1
 
1.4%
＞ 1
 
1.4%
∞ 1
 
1.4%
Other Symbol
ValueCountFrequency (%)
㎜ 12
75.0%
° 2
 
12.5%
■ 1
 
6.2%
℃ 1
 
6.2%
Other Number
ValueCountFrequency (%)
③ 1
33.3%
② 1
33.3%
① 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 171
81.0%
] 40
 
19.0%
Open Punctuation
ValueCountFrequency (%)
( 164
80.4%
[ 40
 
19.6%
Final Punctuation
ValueCountFrequency (%)
’ 19
82.6%
” 4
 
17.4%
Initial Punctuation
ValueCountFrequency (%)
‘ 19
82.6%
“ 4
 
17.4%
Space Separator
ValueCountFrequency (%)
28366
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 290
100.0%
Control
ValueCountFrequency (%)
15
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 93946
72.5%
Common 34108
 
26.3%
Latin 1502
 
1.2%
Han 17
 
< 0.1%
Greek 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
하 3390
 
3.6%
을 2330
 
2.5%
이 2207
 
2.3%
로 2140
 
2.3%
자 1972
 
2.1%
의 1939
 
2.1%
한 1864
 
2.0%
인 1794
 
1.9%
다 1676
 
1.8%
도 1590
 
1.7%
Other values (768) 73044
77.8%
Latin
ValueCountFrequency (%)
g 93
 
6.2%
i 92
 
6.1%
m 78
 
5.2%
r 76
 
5.1%
S 70
 
4.7%
s 67
 
4.5%
p 58
 
3.9%
c 57
 
3.8%
e 56
 
3.7%
E 54
 
3.6%
Other values (42) 801
53.3%
Common
ValueCountFrequency (%)
28366
83.2%
. 1621
 
4.8%
, 957
 
2.8%
- 290
 
0.9%
4 255
 
0.7%
0 221
 
0.6%
& 205
 
0.6%
; 205
 
0.6%
# 205
 
0.6%
5 182
 
0.5%
Other values (38) 1601
 
4.7%
Han
ValueCountFrequency (%)
美 3
17.6%
附 3
17.6%
主 3
17.6%
新 1
 
5.9%
星 1
 
5.9%
異 1
 
5.9%
角 1
 
5.9%
南 1
 
5.9%
大 1
 
5.9%
門 1
 
5.9%
Greek
ValueCountFrequency (%)
Ω 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 93886
72.5%
ASCII 35519
 
27.4%
Compat Jamo 60
 
< 0.1%
Punctuation 46
 
< 0.1%
Geometric Shapes 23
 
< 0.1%
CJK 17
 
< 0.1%
CJK Compat 12
 
< 0.1%
None 5
 
< 0.1%
Enclosed Alphanum 3
 
< 0.1%
Arrows 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28366
79.9%
. 1621
 
4.6%
, 957
 
2.7%
- 290
 
0.8%
4 255
 
0.7%
0 221
 
0.6%
& 205
 
0.6%
; 205
 
0.6%
# 205
 
0.6%
5 182
 
0.5%
Other values (74) 3012
 
8.5%
Hangul
ValueCountFrequency (%)
하 3390
 
3.6%
을 2330
 
2.5%
이 2207
 
2.4%
로 2140
 
2.3%
자 1972
 
2.1%
의 1939
 
2.1%
한 1864
 
2.0%
인 1794
 
1.9%
다 1676
 
1.8%
도 1590
 
1.7%
Other values (761) 72984
77.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 31
51.7%
ㅇ 18
30.0%
ㄱ 3
 
5.0%
ㅁ 3
 
5.0%
ㅅ 2
 
3.3%
ㄷ 2
 
3.3%
ㅣ 1
 
1.7%
Geometric Shapes
ValueCountFrequency (%)
▷ 22
95.7%
■ 1
 
4.3%
Punctuation
ValueCountFrequency (%)
’ 19
41.3%
‘ 19
41.3%
“ 4
 
8.7%
” 4
 
8.7%
CJK Compat
ValueCountFrequency (%)
㎜ 12
100.0%
CJK
ValueCountFrequency (%)
美 3
17.6%
附 3
17.6%
主 3
17.6%
新 1
 
5.9%
星 1
 
5.9%
異 1
 
5.9%
角 1
 
5.9%
南 1
 
5.9%
大 1
 
5.9%
門 1
 
5.9%
None
ValueCountFrequency (%)
° 2
40.0%
Ω 1
20.0%
Ø 1
20.0%
＞ 1
20.0%
Arrows
ValueCountFrequency (%)
→ 1
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
③ 1
33.3%
② 1
33.3%
① 1
33.3%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%
Math Operators
ValueCountFrequency (%)
∞ 1
100.0%

모델명
Text

Distinct1117
Distinct (%)99.2%
Missing1
Missing (%)0.1%
Memory size8.9 KiB
2024-05-11T02:46:13.532728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length37
Mean length9.0239787
Min length2

Characters and Unicode

Total characters10161
Distinct characters215
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1109 ?
Unique (%)98.5%

Sample

1st rowAXIS
2nd rowGL-09-F01
3rd rowDWC-130
4th rowARVORE-01
5th rowZBD-500
ValueCountFrequency (%)
10
 
0.8%
tmd 6
 
0.5%
id+b 6
 
0.5%
02 5
 
0.4%
01 5
 
0.4%
wts 4
 
0.3%
nrf 4
 
0.3%
cto-100 3
 
0.2%
디자인 3
 
0.2%
ad-wb 3
 
0.2%
Other values (1206) 1262
96.3%
2024-05-11T02:46:15.471507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1282
 
12.6%
0 1114
 
11.0%
1 803
 
7.9%
2 505
 
5.0%
S 467
 
4.6%
B 366
 
3.6%
D 349
 
3.4%
3 259
 
2.5%
P 252
 
2.5%
L 245
 
2.4%
Other values (205) 4519
44.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 4069
40.0%
Decimal Number 3645
35.9%
Dash Punctuation 1282
 
12.6%
Other Letter 451
 
4.4%
Lowercase Letter 260
 
2.6%
Space Separator 196
 
1.9%
Other Punctuation 75
 
0.7%
Open Punctuation 68
 
0.7%
Close Punctuation 68
 
0.7%
Control 16
 
0.2%
Other values (2) 31
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
등 62
 
13.7%
주 30
 
6.7%
기 26
 
5.8%
구 25
 
5.5%
형 15
 
3.3%
스 11
 
2.4%
이 11
 
2.4%
방 8
 
1.8%
자 8
 
1.8%
로 6
 
1.3%
Other values (134) 249
55.2%
Uppercase Letter
ValueCountFrequency (%)
S 467
 
11.5%
B 366
 
9.0%
D 349
 
8.6%
P 252
 
6.2%
L 245
 
6.0%
A 216
 
5.3%
R 205
 
5.0%
F 195
 
4.8%
W 181
 
4.4%
H 176
 
4.3%
Other values (16) 1417
34.8%
Lowercase Letter
ValueCountFrequency (%)
r 32
12.3%
a 29
11.2%
s 28
10.8%
g 28
10.8%
e 21
 
8.1%
i 18
 
6.9%
m 17
 
6.5%
b 13
 
5.0%
c 12
 
4.6%
o 9
 
3.5%
Other values (14) 53
20.4%
Decimal Number
ValueCountFrequency (%)
0 1114
30.6%
1 803
22.0%
2 505
13.9%
3 259
 
7.1%
5 243
 
6.7%
4 191
 
5.2%
6 161
 
4.4%
7 130
 
3.6%
8 126
 
3.5%
9 113
 
3.1%
Other Punctuation
ValueCountFrequency (%)
, 52
69.3%
/ 16
 
21.3%
. 7
 
9.3%
Math Symbol
ValueCountFrequency (%)
+ 15
93.8%
∥ 1
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 1282
100.0%
Space Separator
ValueCountFrequency (%)
196
100.0%
Open Punctuation
ValueCountFrequency (%)
( 68
100.0%
Close Punctuation
ValueCountFrequency (%)
) 68
100.0%
Control
ValueCountFrequency (%)
16
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5381
53.0%
Latin 4329
42.6%
Hangul 451
 
4.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
등 62
 
13.7%
주 30
 
6.7%
기 26
 
5.8%
구 25
 
5.5%
형 15
 
3.3%
스 11
 
2.4%
이 11
 
2.4%
방 8
 
1.8%
자 8
 
1.8%
로 6
 
1.3%
Other values (134) 249
55.2%
Latin
ValueCountFrequency (%)
S 467
 
10.8%
B 366
 
8.5%
D 349
 
8.1%
P 252
 
5.8%
L 245
 
5.7%
A 216
 
5.0%
R 205
 
4.7%
F 195
 
4.5%
W 181
 
4.2%
H 176
 
4.1%
Other values (40) 1677
38.7%
Common
ValueCountFrequency (%)
- 1282
23.8%
0 1114
20.7%
1 803
14.9%
2 505
 
9.4%
3 259
 
4.8%
5 243
 
4.5%
196
 
3.6%
4 191
 
3.5%
6 161
 
3.0%
7 130
 
2.4%
Other values (11) 497
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9709
95.6%
Hangul 451
 
4.4%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1282
 
13.2%
0 1114
 
11.5%
1 803
 
8.3%
2 505
 
5.2%
S 467
 
4.8%
B 366
 
3.8%
D 349
 
3.6%
3 259
 
2.7%
P 252
 
2.6%
L 245
 
2.5%
Other values (60) 4067
41.9%
Hangul
ValueCountFrequency (%)
등 62
 
13.7%
주 30
 
6.7%
기 26
 
5.8%
구 25
 
5.5%
형 15
 
3.3%
스 11
 
2.4%
이 11
 
2.4%
방 8
 
1.8%
자 8
 
1.8%
로 6
 
1.3%
Other values (134) 249
55.2%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%

업체 상호명
Text

Distinct323
Distinct (%)28.7%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
2024-05-11T02:46:16.006217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length7.6699201
Min length2

Characters and Unicode

Total characters8644
Distinct characters269
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

Unique132 ?
Unique (%)11.7%

Sample

1st row(주)블라츠어소시에이츠
2nd row(주)지엘어소시에이츠
3rd row데오스웍스
4th row(주)유니트이엔씨
5th row주은스틸아트(주)
ValueCountFrequency (%)
주식회사 180
 
13.2%
주 37
 
2.7%
디자인나눔 31
 
2.3%
우성안전㈜ 29
 
2.1%
주)케이원레일 29
 
2.1%
주)광림이엔씨 22
 
1.6%
주)태헌 22
 
1.6%
다우스 21
 
1.5%
디자인모프 21
 
1.5%
주)태담 18
 
1.3%
Other values (315) 956
70.0%
2024-05-11T02:46:16.997145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 960
 
11.1%
) 704
 
8.1%
( 703
 
8.1%
이 306
 
3.5%
스 289
 
3.3%
249
 
2.9%
사 247
 
2.9%
회 237
 
2.7%
식 235
 
2.7%
인 193
 
2.2%
Other values (259) 4521
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6902
79.8%
Close Punctuation 704
 
8.1%
Open Punctuation 703
 
8.1%
Space Separator 249
 
2.9%
Other Symbol 38
 
0.4%
Uppercase Letter 30
 
0.3%
Other Punctuation 10
 
0.1%
Decimal Number 6
 
0.1%
Control 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 960
 
13.9%
이 306
 
4.4%
스 289
 
4.2%
사 247
 
3.6%
회 237
 
3.4%
식 235
 
3.4%
인 193
 
2.8%
에 178
 
2.6%
디 162
 
2.3%
자 158
 
2.3%
Other values (237) 3937
57.0%
Uppercase Letter
ValueCountFrequency (%)
S 6
20.0%
W 4
13.3%
D 4
13.3%
G 3
10.0%
C 3
10.0%
N 3
10.0%
K 2
 
6.7%
I 1
 
3.3%
P 1
 
3.3%
L 1
 
3.3%
Other values (2) 2
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 2
33.3%
9 2
33.3%
4 2
33.3%
Close Punctuation
ValueCountFrequency (%)
) 704
100.0%
Open Punctuation
ValueCountFrequency (%)
( 703
100.0%
Space Separator
ValueCountFrequency (%)
249
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 38
100.0%
Other Punctuation
ValueCountFrequency (%)
. 10
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6940
80.3%
Common 1674
 
19.4%
Latin 30
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 960
 
13.8%
이 306
 
4.4%
스 289
 
4.2%
사 247
 
3.6%
회 237
 
3.4%
식 235
 
3.4%
인 193
 
2.8%
에 178
 
2.6%
디 162
 
2.3%
자 158
 
2.3%
Other values (238) 3975
57.3%
Latin
ValueCountFrequency (%)
S 6
20.0%
W 4
13.3%
D 4
13.3%
G 3
10.0%
C 3
10.0%
N 3
10.0%
K 2
 
6.7%
I 1
 
3.3%
P 1
 
3.3%
L 1
 
3.3%
Other values (2) 2
 
6.7%
Common
ValueCountFrequency (%)
) 704
42.1%
( 703
42.0%
249
 
14.9%
. 10
 
0.6%
1 2
 
0.1%
9 2
 
0.1%
4 2
 
0.1%
1
 
0.1%
- 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6902
79.8%
ASCII 1704
 
19.7%
None 38
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 960
 
13.9%
이 306
 
4.4%
스 289
 
4.2%
사 247
 
3.6%
회 237
 
3.4%
식 235
 
3.4%
인 193
 
2.8%
에 178
 
2.6%
디 162
 
2.3%
자 158
 
2.3%
Other values (237) 3937
57.0%
ASCII
ValueCountFrequency (%)
) 704
41.3%
( 703
41.3%
249
 
14.6%
. 10
 
0.6%
S 6
 
0.4%
W 4
 
0.2%
D 4
 
0.2%
G 3
 
0.2%
C 3
 
0.2%
N 3
 
0.2%
Other values (11) 15
 
0.9%
None
ValueCountFrequency (%)
㈜ 38
100.0%

업체 담당자
Text

Distinct305
Distinct (%)27.1%
Missing1
Missing (%)0.1%
Memory size8.9 KiB
2024-05-11T02:46:17.781099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length3
Mean length3.3490231
Min length2

Characters and Unicode

Total characters3771
Distinct characters145
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique124 ?
Unique (%)11.0%

Sample

1st row김재준
2nd row곽병두
3rd row한태환
4th row송윤수
5th row정재화
ValueCountFrequency (%)
임준규 45
 
3.4%
김대웅 31
 
2.3%
윤경원 28
 
2.1%
노영일 22
 
1.6%
고태호 21
 
1.6%
김한수 20
 
1.5%
황규연 20
 
1.5%
김정제 19
 
1.4%
최광식 19
 
1.4%
김 19
 
1.4%
Other values (324) 1091
81.7%
2024-05-11T02:46:19.180176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 217
 
5.8%
209
 
5.5%
이 200
 
5.3%
박 124
 
3.3%
정 124
 
3.3%
영 112
 
3.0%
준 81
 
2.1%
임 81
 
2.1%
경 81
 
2.1%
규 79
 
2.1%
Other values (135) 2463
65.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3515
93.2%
Space Separator 209
 
5.5%
Other Punctuation 47
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 217
 
6.2%
이 200
 
5.7%
박 124
 
3.5%
정 124
 
3.5%
영 112
 
3.2%
준 81
 
2.3%
임 81
 
2.3%
경 81
 
2.3%
규 79
 
2.2%
한 78
 
2.2%
Other values (132) 2338
66.5%
Other Punctuation
ValueCountFrequency (%)
, 45
95.7%
/ 2
 
4.3%
Space Separator
ValueCountFrequency (%)
209
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3515
93.2%
Common 256
 
6.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 217
 
6.2%
이 200
 
5.7%
박 124
 
3.5%
정 124
 
3.5%
영 112
 
3.2%
준 81
 
2.3%
임 81
 
2.3%
경 81
 
2.3%
규 79
 
2.2%
한 78
 
2.2%
Other values (132) 2338
66.5%
Common
ValueCountFrequency (%)
209
81.6%
, 45
 
17.6%
/ 2
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3515
93.2%
ASCII 256
 
6.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 217
 
6.2%
이 200
 
5.7%
박 124
 
3.5%
정 124
 
3.5%
영 112
 
3.2%
준 81
 
2.3%
임 81
 
2.3%
경 81
 
2.3%
규 79
 
2.2%
한 78
 
2.2%
Other values (132) 2338
66.5%
ASCII
ValueCountFrequency (%)
209
81.6%
, 45
 
17.6%
/ 2
 
0.8%

업체 주소
Text

Distinct489
Distinct (%)43.4%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
2024-05-11T02:46:19.760451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length41
Mean length25.892635
Min length11

Characters and Unicode

Total characters29181
Distinct characters357
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique253 ?
Unique (%)22.4%

Sample

1st row서울시 강남구 삼성동 122-11 2층
2nd row서울시 서초구 서초동 1434-10 지엘빌딩
3rd row서울시 금천구 가산동 371-50 에이스하이엔드타워3차 1406호
4th row인천광역시 남동구 구월동 1136-14 벤처빌딩 703호
5th row서울 강남구 삼성동 164-3번지 광성빌딩 8층
ValueCountFrequency (%)
경기도 509
 
8.2%
서울시 212
 
3.4%
서울특별시 159
 
2.6%
김포시 78
 
1.3%
2층 76
 
1.2%
서초구 74
 
1.2%
영등포구 56
 
0.9%
금천구 56
 
0.9%
인천광역시 55
 
0.9%
화성시 51
 
0.8%
Other values (1211) 4863
78.6%
2024-05-11T02:46:20.789735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5074
 
17.4%
1 1228
 
4.2%
시 1117
 
3.8%
동 822
 
2.8%
2 807
 
2.8%
3 745
 
2.6%
구 743
 
2.5%
- 658
 
2.3%
도 644
 
2.2%
4 628
 
2.2%
Other values (347) 16715
57.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16579
56.8%
Decimal Number 6129
 
21.0%
Space Separator 5074
 
17.4%
Dash Punctuation 658
 
2.3%
Uppercase Letter 209
 
0.7%
Other Punctuation 178
 
0.6%
Close Punctuation 154
 
0.5%
Open Punctuation 154
 
0.5%
Control 30
 
0.1%
Lowercase Letter 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1117
 
6.7%
동 822
 
5.0%
구 743
 
4.5%
도 644
 
3.9%
서 600
 
3.6%
경 560
 
3.4%
기 556
 
3.4%
로 434
 
2.6%
울 421
 
2.5%
호 293
 
1.8%
Other values (306) 10389
62.7%
Uppercase Letter
ValueCountFrequency (%)
D 34
16.3%
S 34
16.3%
B 26
12.4%
A 21
10.0%
F 20
9.6%
K 19
9.1%
W 14
6.7%
C 11
 
5.3%
G 8
 
3.8%
I 7
 
3.3%
Other values (6) 15
7.2%
Decimal Number
ValueCountFrequency (%)
1 1228
20.0%
2 807
13.2%
3 745
12.2%
4 628
10.2%
5 577
9.4%
0 473
 
7.7%
6 464
 
7.6%
8 456
 
7.4%
7 433
 
7.1%
9 318
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 142
79.8%
/ 17
 
9.6%
: 9
 
5.1%
. 6
 
3.4%
* 4
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
n 9
75.0%
d 1
 
8.3%
m 1
 
8.3%
c 1
 
8.3%
Space Separator
ValueCountFrequency (%)
5074
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 658
100.0%
Close Punctuation
ValueCountFrequency (%)
) 154
100.0%
Open Punctuation
ValueCountFrequency (%)
( 154
100.0%
Control
ValueCountFrequency (%)
30
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16579
56.8%
Common 12381
42.4%
Latin 221
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1117
 
6.7%
동 822
 
5.0%
구 743
 
4.5%
도 644
 
3.9%
서 600
 
3.6%
경 560
 
3.4%
기 556
 
3.4%
로 434
 
2.6%
울 421
 
2.5%
호 293
 
1.8%
Other values (306) 10389
62.7%
Common
ValueCountFrequency (%)
5074
41.0%
1 1228
 
9.9%
2 807
 
6.5%
3 745
 
6.0%
- 658
 
5.3%
4 628
 
5.1%
5 577
 
4.7%
0 473
 
3.8%
6 464
 
3.7%
8 456
 
3.7%
Other values (11) 1271
 
10.3%
Latin
ValueCountFrequency (%)
D 34
15.4%
S 34
15.4%
B 26
11.8%
A 21
9.5%
F 20
9.0%
K 19
8.6%
W 14
6.3%
C 11
 
5.0%
n 9
 
4.1%
G 8
 
3.6%
Other values (10) 25
11.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16578
56.8%
ASCII 12602
43.2%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5074
40.3%
1 1228
 
9.7%
2 807
 
6.4%
3 745
 
5.9%
- 658
 
5.2%
4 628
 
5.0%
5 577
 
4.6%
0 473
 
3.8%
6 464
 
3.7%
8 456
 
3.6%
Other values (31) 1492
 
11.8%
Hangul
ValueCountFrequency (%)
시 1117
 
6.7%
동 822
 
5.0%
구 743
 
4.5%
도 644
 
3.9%
서 600
 
3.6%
경 560
 
3.4%
기 556
 
3.4%
로 434
 
2.6%
울 421
 
2.5%
호 293
 
1.8%
Other values (305) 10388
62.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

업체 연락처
Text

Distinct293
Distinct (%)26.0%
Missing2
Missing (%)0.2%
Memory size8.9 KiB
2024-05-11T02:46:21.420092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length9.7982222
Min length1

Characters and Unicode

Total characters11023
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

Unique121 ?
Unique (%)10.8%

Sample

1st row025111292
2nd row025187721
3rd row0226266510
4th row0324323961
5th row025113797
ValueCountFrequency (%)
025015576 42
 
3.7%
0226722266 31
 
2.8%
0316769464 29
 
2.6%
0220386640 27
 
2.4%
027691220 27
 
2.4%
07040107958 23
 
2.0%
0262895100 23
 
2.0%
0319810411 22
 
2.0%
0234537767 20
 
1.8%
0226963636 18
 
1.6%
Other values (283) 863
76.7%
2024-05-11T02:46:22.470495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2237
20.3%
2 1620
14.7%
6 1136
10.3%
3 1117
10.1%
1 1084
9.8%
7 884
 
8.0%
5 803
 
7.3%
4 789
 
7.2%
8 708
 
6.4%
9 644
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11022
> 99.9%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2237
20.3%
2 1620
14.7%
6 1136
10.3%
3 1117
10.1%
1 1084
9.8%
7 884
 
8.0%
5 803
 
7.3%
4 789
 
7.2%
8 708
 
6.4%
9 644
 
5.8%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11023
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2237
20.3%
2 1620
14.7%
6 1136
10.3%
3 1117
10.1%
1 1084
9.8%
7 884
 
8.0%
5 803
 
7.3%
4 789
 
7.2%
8 708
 
6.4%
9 644
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11023
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2237
20.3%
2 1620
14.7%
6 1136
10.3%
3 1117
10.1%
1 1084
9.8%
7 884
 
8.0%
5 803
 
7.3%
4 789
 
7.2%
8 708
 
6.4%
9 644
 
5.8%

업체 이메일
Text

Distinct302
Distinct (%)26.9%
Missing3
Missing (%)0.3%
Memory size8.9 KiB
2024-05-11T02:46:23.123178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length17.800712
Min length1

Characters and Unicode

Total characters20008
Distinct characters42
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique126 ?
Unique (%)11.2%

Sample

1st rowjs@vlaatz.com
2nd rowlks9955026@naver.com
3rd rowdeosworks@chol.com
4th rowkm-ys0606@hanmail.net
5th rowzueun1@zueun.co.kr
ValueCountFrequency (%)
ddong04@hanmail.net 42
 
3.7%
nanum2010@nate.com 31
 
2.8%
ws0907@naver.com 29
 
2.6%
taehun@hanmail.net 27
 
2.4%
designmoff@daum.net 27
 
2.4%
dauscc@naver.com 23
 
2.0%
klim0411@hanmail.net 22
 
2.0%
qwesup@hanmail.net 20
 
1.8%
sygong@yekun.com 18
 
1.6%
hsenc1225@daum.net 18
 
1.6%
Other values (289) 867
77.1%
2024-05-11T02:46:24.648032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 1861
 
9.3%
a 1665
 
8.3%
e 1316
 
6.6%
m 1289
 
6.4%
. 1268
 
6.3%
o 1262
 
6.3%
@ 1107
 
5.5%
c 1007
 
5.0%
i 769
 
3.8%
r 727
 
3.6%
Other values (32) 7737
38.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 15611
78.0%
Other Punctuation 2376
 
11.9%
Decimal Number 1988
 
9.9%
Dash Punctuation 23
 
0.1%
Connector Punctuation 6
 
< 0.1%
Space Separator 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 1861
11.9%
a 1665
 
10.7%
e 1316
 
8.4%
m 1289
 
8.3%
o 1262
 
8.1%
c 1007
 
6.5%
i 769
 
4.9%
r 727
 
4.7%
l 669
 
4.3%
t 651
 
4.2%
Other values (16) 4395
28.2%
Decimal Number
ValueCountFrequency (%)
0 414
20.8%
1 271
13.6%
2 250
12.6%
9 215
10.8%
4 161
 
8.1%
8 158
 
7.9%
5 143
 
7.2%
6 138
 
6.9%
3 120
 
6.0%
7 118
 
5.9%
Other Punctuation
ValueCountFrequency (%)
. 1268
53.4%
@ 1107
46.6%
, 1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 15611
78.0%
Common 4397
 
22.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 1861
11.9%
a 1665
 
10.7%
e 1316
 
8.4%
m 1289
 
8.3%
o 1262
 
8.1%
c 1007
 
6.5%
i 769
 
4.9%
r 727
 
4.7%
l 669
 
4.3%
t 651
 
4.2%
Other values (16) 4395
28.2%
Common
ValueCountFrequency (%)
. 1268
28.8%
@ 1107
25.2%
0 414
 
9.4%
1 271
 
6.2%
2 250
 
5.7%
9 215
 
4.9%
4 161
 
3.7%
8 158
 
3.6%
5 143
 
3.3%
6 138
 
3.1%
Other values (6) 272
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20008
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 1861
 
9.3%
a 1665
 
8.3%
e 1316
 
6.6%
m 1289
 
6.4%
. 1268
 
6.3%
o 1262
 
6.3%
@ 1107
 
5.5%
c 1007
 
5.0%
i 769
 
3.8%
r 727
 
3.6%
Other values (32) 7737
38.7%

재질
Text

MISSING 

Distinct709
Distinct (%)79.8%
Missing238
Missing (%)21.1%
Memory size8.9 KiB
2024-05-11T02:46:25.591972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length99
Median length66
Mean length27.904387
Min length2

Characters and Unicode

Total characters24807
Distinct characters311
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique606 ?
Unique (%)68.2%

Sample

1st rowAL-Die Casting, SST, Polycabonate, 광원-SMD LED18W
2nd rowSteel Plate, Stainless Steel
3rd row구조용파이프 SD3566 27.2Ø, 스텐레스파이프 STS304 31.8Ø
4th rowAluminum, 집성목 (소나무), Polycarbonate
5th row고인장 실리콘,STL, 고휘도 반사지
ValueCountFrequency (%)
x 87
 
3.3%
steel 67
 
2.5%
알루미늄 64
 
2.4%
hardwood 60
 
2.3%
pipe 60
 
2.3%
52
 
2.0%
분체도장 45
 
1.7%
plate 45
 
1.7%
al-casting 42
 
1.6%
d 40
 
1.5%
Other values (1105) 2084
78.8%
2024-05-11T02:46:27.123075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2359
 
9.5%
1825
 
7.4%
1 1026
 
4.1%
@ 999
 
4.0%
^ 999
 
4.0%
5 873
 
3.5%
T 806
 
3.2%
S 725
 
2.9%
, 591
 
2.4%
2 584
 
2.4%
Other values (301) 14020
56.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7227
29.1%
Uppercase Letter 4343
17.5%
Other Letter 4055
16.3%
Lowercase Letter 2725
 
11.0%
Other Punctuation 2434
 
9.8%
Space Separator 1825
 
7.4%
Modifier Symbol 999
 
4.0%
Open Punctuation 421
 
1.7%
Close Punctuation 415
 
1.7%
Dash Punctuation 273
 
1.1%
Other values (2) 90
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 266
 
6.6%
늄 164
 
4.0%
미 164
 
4.0%
루 164
 
4.0%
알 163
 
4.0%
도 134
 
3.3%
틸 110
 
2.7%
레 95
 
2.3%
드 93
 
2.3%
이 89
 
2.2%
Other values (219) 2613
64.4%
Uppercase Letter
ValueCountFrequency (%)
T 806
18.6%
S 725
16.7%
L 402
9.3%
A 395
9.1%
P 334
7.7%
E 277
 
6.4%
H 181
 
4.2%
D 163
 
3.8%
C 162
 
3.7%
K 156
 
3.6%
Other values (15) 742
17.1%
Lowercase Letter
ValueCountFrequency (%)
x 344
12.6%
t 282
10.3%
e 267
9.8%
a 255
9.4%
o 216
7.9%
d 206
 
7.6%
l 184
 
6.8%
m 165
 
6.1%
i 158
 
5.8%
s 118
 
4.3%
Other values (13) 530
19.4%
Other Punctuation
ValueCountFrequency (%)
@ 999
41.0%
, 591
24.3%
. 485
19.9%
* 224
 
9.2%
/ 68
 
2.8%
: 32
 
1.3%
? 9
 
0.4%
' 9
 
0.4%
; 6
 
0.2%
# 5
 
0.2%
Other values (2) 6
 
0.2%
Decimal Number
ValueCountFrequency (%)
0 2359
32.6%
1 1026
14.2%
5 873
 
12.1%
2 584
 
8.1%
3 572
 
7.9%
6 505
 
7.0%
4 404
 
5.6%
7 346
 
4.8%
8 297
 
4.1%
9 261
 
3.6%
Math Symbol
ValueCountFrequency (%)
× 61
77.2%
= 9
 
11.4%
+ 6
 
7.6%
∮ 2
 
2.5%
~ 1
 
1.3%
Other Symbol
ValueCountFrequency (%)
㎜ 10
90.9%
□ 1
 
9.1%
Space Separator
ValueCountFrequency (%)
1825
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 999
100.0%
Open Punctuation
ValueCountFrequency (%)
( 421
100.0%
Close Punctuation
ValueCountFrequency (%)
) 415
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 273
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13684
55.2%
Latin 7028
28.3%
Hangul 4055
 
16.3%
Greek 40
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 266
 
6.6%
늄 164
 
4.0%
미 164
 
4.0%
루 164
 
4.0%
알 163
 
4.0%
도 134
 
3.3%
틸 110
 
2.7%
레 95
 
2.3%
드 93
 
2.3%
이 89
 
2.2%
Other values (219) 2613
64.4%
Latin
ValueCountFrequency (%)
T 806
 
11.5%
S 725
 
10.3%
L 402
 
5.7%
A 395
 
5.6%
x 344
 
4.9%
P 334
 
4.8%
t 282
 
4.0%
E 277
 
3.9%
e 267
 
3.8%
a 255
 
3.6%
Other values (37) 2941
41.8%
Common
ValueCountFrequency (%)
0 2359
17.2%
1825
13.3%
1 1026
 
7.5%
@ 999
 
7.3%
^ 999
 
7.3%
5 873
 
6.4%
, 591
 
4.3%
2 584
 
4.3%
3 572
 
4.2%
6 505
 
3.7%
Other values (24) 3351
24.5%
Greek
ValueCountFrequency (%)
Φ 40
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20486
82.6%
Hangul 4049
 
16.3%
None 252
 
1.0%
CJK Compat 10
 
< 0.1%
Compat Jamo 6
 
< 0.1%
Math Operators 2
 
< 0.1%
Punctuation 1
 
< 0.1%
Geometric Shapes 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2359
 
11.5%
1825
 
8.9%
1 1026
 
5.0%
@ 999
 
4.9%
^ 999
 
4.9%
5 873
 
4.3%
T 806
 
3.9%
S 725
 
3.5%
, 591
 
2.9%
2 584
 
2.9%
Other values (64) 9699
47.3%
Hangul
ValueCountFrequency (%)
스 266
 
6.6%
늄 164
 
4.1%
미 164
 
4.1%
루 164
 
4.1%
알 163
 
4.0%
도 134
 
3.3%
틸 110
 
2.7%
레 95
 
2.3%
드 93
 
2.3%
이 89
 
2.2%
Other values (218) 2607
64.4%
None
ValueCountFrequency (%)
Ø 146
57.9%
× 61
24.2%
Φ 40
 
15.9%
ø 5
 
2.0%
CJK Compat
ValueCountFrequency (%)
㎜ 10
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅁ 6
100.0%
Math Operators
ValueCountFrequency (%)
∮ 2
100.0%
Punctuation
ValueCountFrequency (%)
※ 1
100.0%
Geometric Shapes
ValueCountFrequency (%)
□ 1
100.0%

규격 가로(mm)
Text

MISSING 

Distinct233
Distinct (%)26.3%
Missing240
Missing (%)21.3%
Memory size8.9 KiB
2024-05-11T02:46:28.274908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length3.8286359
Min length2

Characters and Unicode

Total characters3396
Distinct characters28
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique159 ?
Unique (%)17.9%

Sample

1st row150
2nd row100
3rd row2025
4th row130
5th row150-110
ValueCountFrequency (%)
2000 260
29.1%
1600 58
 
6.5%
1800 53
 
5.9%
1200 35
 
3.9%
1500 34
 
3.8%
3000 16
 
1.8%
120 15
 
1.7%
150 12
 
1.3%
2500 11
 
1.2%
500 11
 
1.2%
Other values (219) 389
43.5%
2024-05-11T02:46:30.064443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1686
49.6%
2 438
 
12.9%
1 429
 
12.6%
5 173
 
5.1%
6 145
 
4.3%
8 134
 
3.9%
3 96
 
2.8%
4 90
 
2.7%
7 59
 
1.7%
9 41
 
1.2%
Other values (18) 105
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3291
96.9%
Other Letter 41
 
1.2%
Other Punctuation 31
 
0.9%
Lowercase Letter 10
 
0.3%
Space Separator 8
 
0.2%
Uppercase Letter 6
 
0.2%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%
Dash Punctuation 2
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1686
51.2%
2 438
 
13.3%
1 429
 
13.0%
5 173
 
5.3%
6 145
 
4.4%
8 134
 
4.1%
3 96
 
2.9%
4 90
 
2.7%
7 59
 
1.8%
9 41
 
1.2%
Other Letter
ValueCountFrequency (%)
상 19
46.3%
구 18
43.9%
외 1
 
2.4%
원 1
 
2.4%
형 1
 
2.4%
단 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
. 23
74.2%
, 6
 
19.4%
? 2
 
6.5%
Lowercase Letter
ValueCountFrequency (%)
ø 8
80.0%
m 2
 
20.0%
Uppercase Letter
ValueCountFrequency (%)
Ø 4
66.7%
Φ 2
33.3%
Space Separator
ValueCountFrequency (%)
8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Symbol
ValueCountFrequency (%)
㎜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3339
98.3%
Hangul 41
 
1.2%
Latin 14
 
0.4%
Greek 2
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1686
50.5%
2 438
 
13.1%
1 429
 
12.8%
5 173
 
5.2%
6 145
 
4.3%
8 134
 
4.0%
3 96
 
2.9%
4 90
 
2.7%
7 59
 
1.8%
9 41
 
1.2%
Other values (8) 48
 
1.4%
Hangul
ValueCountFrequency (%)
상 19
46.3%
구 18
43.9%
외 1
 
2.4%
원 1
 
2.4%
형 1
 
2.4%
단 1
 
2.4%
Latin
ValueCountFrequency (%)
ø 8
57.1%
Ø 4
28.6%
m 2
 
14.3%
Greek
ValueCountFrequency (%)
Φ 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3340
98.4%
Hangul 41
 
1.2%
None 14
 
0.4%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1686
50.5%
2 438
 
13.1%
1 429
 
12.8%
5 173
 
5.2%
6 145
 
4.3%
8 134
 
4.0%
3 96
 
2.9%
4 90
 
2.7%
7 59
 
1.8%
9 41
 
1.2%
Other values (8) 49
 
1.5%
Hangul
ValueCountFrequency (%)
상 19
46.3%
구 18
43.9%
외 1
 
2.4%
원 1
 
2.4%
형 1
 
2.4%
단 1
 
2.4%
None
ValueCountFrequency (%)
ø 8
57.1%
Ø 4
28.6%
Φ 2
 
14.3%
CJK Compat
ValueCountFrequency (%)
㎜ 1
100.0%

규격 세로(mm)
Text

MISSING 

Distinct278
Distinct (%)32.5%
Missing271
Missing (%)24.0%
Memory size8.9 KiB
2024-05-11T02:46:31.164543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.1320093
Min length1

Characters and Unicode

Total characters2681
Distinct characters25
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique146 ?
Unique (%)17.1%

Sample

1st row90
2nd row2100
3rd row330
4th row120
5th row80000
ValueCountFrequency (%)
100 45
 
5.2%
1200 34
 
3.9%
400 27
 
3.1%
80 26
 
3.0%
90 19
 
2.2%
300 18
 
2.1%
150 17
 
2.0%
60 16
 
1.9%
450 15
 
1.7%
120 15
 
1.7%
Other values (264) 631
73.1%
2024-05-11T02:46:32.794033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 896
33.4%
1 346
 
12.9%
5 277
 
10.3%
2 233
 
8.7%
4 178
 
6.6%
3 167
 
6.2%
6 143
 
5.3%
8 134
 
5.0%
7 105
 
3.9%
9 88
 
3.3%
Other values (15) 114
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2567
95.7%
Other Punctuation 51
 
1.9%
Other Letter 38
 
1.4%
Space Separator 8
 
0.3%
Uppercase Letter 5
 
0.2%
Lowercase Letter 5
 
0.2%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 896
34.9%
1 346
 
13.5%
5 277
 
10.8%
2 233
 
9.1%
4 178
 
6.9%
3 167
 
6.5%
6 143
 
5.6%
8 134
 
5.2%
7 105
 
4.1%
9 88
 
3.4%
Other Letter
ValueCountFrequency (%)
구 18
47.4%
하 18
47.4%
단 1
 
2.6%
상 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
. 48
94.1%
? 2
 
3.9%
, 1
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
Ø 4
80.0%
Φ 1
 
20.0%
Lowercase Letter
ValueCountFrequency (%)
ø 3
60.0%
m 2
40.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Symbol
ValueCountFrequency (%)
㎜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2633
98.2%
Hangul 38
 
1.4%
Latin 9
 
0.3%
Greek 1
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 896
34.0%
1 346
 
13.1%
5 277
 
10.5%
2 233
 
8.8%
4 178
 
6.8%
3 167
 
6.3%
6 143
 
5.4%
8 134
 
5.1%
7 105
 
4.0%
9 88
 
3.3%
Other values (7) 66
 
2.5%
Hangul
ValueCountFrequency (%)
구 18
47.4%
하 18
47.4%
단 1
 
2.6%
상 1
 
2.6%
Latin
ValueCountFrequency (%)
Ø 4
44.4%
ø 3
33.3%
m 2
22.2%
Greek
ValueCountFrequency (%)
Φ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2634
98.2%
Hangul 38
 
1.4%
None 8
 
0.3%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 896
34.0%
1 346
 
13.1%
5 277
 
10.5%
2 233
 
8.8%
4 178
 
6.8%
3 167
 
6.3%
6 143
 
5.4%
8 134
 
5.1%
7 105
 
4.0%
9 88
 
3.3%
Other values (7) 67
 
2.5%
Hangul
ValueCountFrequency (%)
구 18
47.4%
하 18
47.4%
단 1
 
2.6%
상 1
 
2.6%
None
ValueCountFrequency (%)
Ø 4
50.0%
ø 3
37.5%
Φ 1
 
12.5%
CJK Compat
ValueCountFrequency (%)
㎜ 1
100.0%

규격 높이(mm)
Text

MISSING 

Distinct214
Distinct (%)24.2%
Missing242
Missing (%)21.5%
Memory size8.9 KiB
2024-05-11T02:46:33.655669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length4
Mean length3.5875706
Min length1

Characters and Unicode

Total characters3175
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique138 ?
Unique (%)15.6%

Sample

1st row1000
2nd row1100
3rd row480
4th row900
5th row1000
ValueCountFrequency (%)
1100 134
 
15.1%
1200 68
 
7.7%
1000 66
 
7.5%
10000 36
 
4.1%
4000 32
 
3.6%
800 31
 
3.5%
5000 23
 
2.6%
900 22
 
2.5%
1400 20
 
2.3%
850 18
 
2.0%
Other values (204) 435
49.2%
2024-05-11T02:46:35.173388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1585
49.9%
1 596
 
18.8%
5 197
 
6.2%
2 177
 
5.6%
4 171
 
5.4%
8 140
 
4.4%
7 85
 
2.7%
6 77
 
2.4%
3 69
 
2.2%
9 61
 
1.9%
Other values (6) 17
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3158
99.5%
Other Punctuation 13
 
0.4%
Math Symbol 2
 
0.1%
Uppercase Letter 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1585
50.2%
1 596
 
18.9%
5 197
 
6.2%
2 177
 
5.6%
4 171
 
5.4%
8 140
 
4.4%
7 85
 
2.7%
6 77
 
2.4%
3 69
 
2.2%
9 61
 
1.9%
Other Punctuation
ValueCountFrequency (%)
, 11
84.6%
. 2
 
15.4%
Math Symbol
ValueCountFrequency (%)
× 1
50.0%
~ 1
50.0%
Uppercase Letter
ValueCountFrequency (%)
Ø 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
t 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3173
99.9%
Latin 2
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1585
50.0%
1 596
 
18.8%
5 197
 
6.2%
2 177
 
5.6%
4 171
 
5.4%
8 140
 
4.4%
7 85
 
2.7%
6 77
 
2.4%
3 69
 
2.2%
9 61
 
1.9%
Other values (4) 15
 
0.5%
Latin
ValueCountFrequency (%)
Ø 1
50.0%
t 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3173
99.9%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1585
50.0%
1 596
 
18.8%
5 197
 
6.2%
2 177
 
5.6%
4 171
 
5.4%
8 140
 
4.4%
7 85
 
2.7%
6 77
 
2.4%
3 69
 
2.2%
9 61
 
1.9%
Other values (4) 15
 
0.5%
None
ValueCountFrequency (%)
Ø 1
50.0%
× 1
50.0%

칼라
Text

MISSING 

Distinct185
Distinct (%)20.9%
Missing241
Missing (%)21.4%
Memory size8.9 KiB
2024-05-11T02:46:35.895811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length5
Mean length7.8386005
Min length2

Characters and Unicode

Total characters6945
Distinct characters213
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)12.8%

Sample

1st row기와진회색 (서울색)
2nd row기와진회색 (서울색)
3rd row기와진회색 (서울색)
4th rowWalnut, Maple
5th row기와진회색 (서울색)
ValueCountFrequency (%)
기와진회색 549
44.1%
gray 60
 
4.8%
진회색 40
 
3.2%
dark 35
 
2.8%
돌담회색 32
 
2.6%
서울색 32
 
2.6%
다크그레이 17
 
1.4%
그레이 13
 
1.0%
13
 
1.0%
natural 13
 
1.0%
Other values (168) 441
35.4%
2024-05-11T02:46:37.233531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
색 900
 
13.0%
회 748
 
10.8%
진 686
 
9.9%
기 647
 
9.3%
와 640
 
9.2%
364
 
5.2%
r 180
 
2.6%
a 174
 
2.5%
( 134
 
1.9%
) 134
 
1.9%
Other values (203) 2338
33.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4972
71.6%
Lowercase Letter 703
 
10.1%
Space Separator 364
 
5.2%
Uppercase Letter 219
 
3.2%
Other Punctuation 218
 
3.1%
Open Punctuation 134
 
1.9%
Close Punctuation 134
 
1.9%
Decimal Number 132
 
1.9%
Control 39
 
0.6%
Dash Punctuation 28
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
색 900
18.1%
회 748
15.0%
진 686
13.8%
기 647
13.0%
와 640
12.9%
서 59
 
1.2%
울 59
 
1.2%
담 54
 
1.1%
돌 52
 
1.0%
목 46
 
0.9%
Other values (148) 1081
21.7%
Lowercase Letter
ValueCountFrequency (%)
r 180
25.6%
a 174
24.8%
y 81
11.5%
k 47
 
6.7%
o 44
 
6.3%
l 38
 
5.4%
n 27
 
3.8%
w 26
 
3.7%
u 26
 
3.7%
t 25
 
3.6%
Other values (8) 35
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
G 76
34.7%
D 43
19.6%
B 26
 
11.9%
N 24
 
11.0%
C 13
 
5.9%
S 9
 
4.1%
M 9
 
4.1%
X 6
 
2.7%
K 5
 
2.3%
P 3
 
1.4%
Other values (4) 5
 
2.3%
Decimal Number
ValueCountFrequency (%)
5 28
21.2%
2 18
13.6%
0 17
12.9%
6 15
11.4%
4 14
10.6%
9 10
 
7.6%
8 10
 
7.6%
3 10
 
7.6%
7 6
 
4.5%
1 4
 
3.0%
Other Punctuation
ValueCountFrequency (%)
, 128
58.7%
/ 34
 
15.6%
: 20
 
9.2%
; 11
 
5.0%
& 11
 
5.0%
# 11
 
5.0%
% 3
 
1.4%
Space Separator
ValueCountFrequency (%)
364
100.0%
Open Punctuation
ValueCountFrequency (%)
( 134
100.0%
Close Punctuation
ValueCountFrequency (%)
) 134
100.0%
Control
ValueCountFrequency (%)
39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4971
71.6%
Common 1051
 
15.1%
Latin 922
 
13.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
색 900
18.1%
회 748
15.0%
진 686
13.8%
기 647
13.0%
와 640
12.9%
서 59
 
1.2%
울 59
 
1.2%
담 54
 
1.1%
돌 52
 
1.0%
목 46
 
0.9%
Other values (147) 1080
21.7%
Latin
ValueCountFrequency (%)
r 180
19.5%
a 174
18.9%
y 81
8.8%
G 76
8.2%
k 47
 
5.1%
o 44
 
4.8%
D 43
 
4.7%
l 38
 
4.1%
n 27
 
2.9%
w 26
 
2.8%
Other values (22) 186
20.2%
Common
ValueCountFrequency (%)
364
34.6%
( 134
 
12.7%
) 134
 
12.7%
, 128
 
12.2%
39
 
3.7%
/ 34
 
3.2%
5 28
 
2.7%
- 28
 
2.7%
: 20
 
1.9%
2 18
 
1.7%
Other values (13) 124
 
11.8%
Han
ValueCountFrequency (%)
木 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4971
71.6%
ASCII 1973
 
28.4%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
색 900
18.1%
회 748
15.0%
진 686
13.8%
기 647
13.0%
와 640
12.9%
서 59
 
1.2%
울 59
 
1.2%
담 54
 
1.1%
돌 52
 
1.0%
목 46
 
0.9%
Other values (147) 1080
21.7%
ASCII
ValueCountFrequency (%)
364
18.4%
r 180
 
9.1%
a 174
 
8.8%
( 134
 
6.8%
) 134
 
6.8%
, 128
 
6.5%
y 81
 
4.1%
G 76
 
3.9%
k 47
 
2.4%
o 44
 
2.2%
Other values (45) 611
31.0%
CJK
ValueCountFrequency (%)
木 1
100.0%

Interactions

2024-05-11T02:46:02.285557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-05-11T02:46:02.690488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T02:46:03.368629image/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.
2024-05-11T02:46:03.933767image/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

인증회차인증번호인증제품명인증제품설명모델명업체 상호명업체 담당자업체 주소업체 연락처업체 이메일재질규격 가로(mm)규격 세로(mm)규격 높이(mm)칼라
02SGPD-00020AXIS사선을 이용한 독창적인 디자인을 통해 최근 실행되고 있는 선진국형 공공디자인 감각에 맞추어 어떤한 지역 및 환경과도 어울러 질 수 있도록 간결하고도 견고하게 고안되었다. 또한 에너지절감을 위한 고효율 LED 광원을 사용하여 장수명에 따른 유지보수를 절감할 수 있는 고기능 제품이다.AXIS(주)블라츠어소시에이츠김재준서울시 강남구 삼성동 122-11 2층025111292js@vlaatz.comAL-Die Casting, SST, Polycabonate, 광원-SMD LED18W150901000기와진회색 (서울색)
12SGPD-00028GL-09-F01기존 펜스들의 문제점인 경사로 설치로 인한 현장 가공을 줄이기 위해 펜스 기둥 내부에 경사조절 구조를 설계하여 설치장소에 맞추어 자동적으로 경사 설치가 가능한 디자인을 시행한다. 현장 설치로 인한 제품의 완성도 저하를 막고 공사 기간 단축에 효과적인 디자인이다.GL-09-F01(주)지엘어소시에이츠곽병두서울시 서초구 서초동 1434-10 지엘빌딩025187721lks9955026@naver.comSteel Plate, Stainless Steel10021001100기와진회색 (서울색)
23SGPD-00057DWC-130불필요한 요소를 배제하고 기능적인 면을 중점적으로 고려하여 절제된 라인이지만 선의 아름다움을 살린 디자인이다. 형태를 최적화하여 장소에 구애받지 않고 어디에든 조화롭게 어울릴 수 있는 사용자의 편의를 고려한 디자인이다.DWC-130데오스웍스한태환서울시 금천구 가산동 371-50 에이스하이엔드타워3차 1406호0226266510deosworks@chol.com구조용파이프 SD3566 27.2Ø, 스텐레스파이프 STS304 31.8Ø2025330480기와진회색 (서울색)
32SGPD-00019ARVORE-01목재재질 (소나무 소재)적용으로 자연친화적인 느낌을 강조하였고, 고효율 조명기구인 LED램프의 적용이 가능 (EL램프 선택사항)하다. 심플한 디자인과 자연상태의 마감으로 우수등에 영향을 최소화 하였으며, 야간조명환경과 조화가 용이한 형태 및 범용성을 갖춘 구조를 채택하였다.ARVORE-01(주)유니트이엔씨송윤수인천광역시 남동구 구월동 1136-14 벤처빌딩 703호0324323961km-ys0606@hanmail.netAluminum, 집성목 (소나무), Polycarbonate130<NA>900Walnut, Maple
43SGPD-00052ZBD-500저속차량의 충돌에 견딜 수 있도록 내부 구조체에 스틸 파이프를 사용하였다. 실리콘 고무재질의 충격흡수 기능으로 보행자가 충돌시 보호되도록 하였다. 1,000㎜의 적당한 설치 높이로 차량과 보행자가 모두 쉽게 인식할 수 있도록 하였다. 안전을 위하여 외관상 모서리를 모두 둥글게 처리하였다.ZBD-500주은스틸아트(주)정재화서울 강남구 삼성동 164-3번지 광성빌딩 8층025113797zueun1@zueun.co.kr고인장 실리콘,STL, 고휘도 반사지150-110<NA>1000기와진회색 (서울색)
53SGPD-00054DN-P심플하고 모서리가 둥근 직사각형 형태로 무채색 계열을 사용하여 미래지향적으로 디자인되어 도시 미관을 보다 세련되게 연출시켜주며, 고휘도 반사시트를 부착하여 야간 시인성을 확보하고, 슬림한 제품으로 안전한 보행자들의 공간을 마련한다. 내부는 속도가 낮은 자동차의 충격에 견딜 수 있는 구조용 관을 사용하고, 표면은 탄성충격 흡수재질 (PU우레탄합성수지)로 마감되어 보행자와 차량 모두 충격으로 인한 피해를 최소화하고, UV코팅을 하여 변색을 방지한다.DN-P(주)디엔테크박노남경기성남시 중원구 상대원동 442-5 쌍용트윈타워 B동 501호15889760ceo@dn88.krPU 우레탄커버, STS 304 Pipe,반사지, 볼라드톤, STS 베이스판1201201200기와진회색 (서울색)
63SGPD-00062누에다리(그린아트보도교)강관 아치형 트러스교 공원 연결산책로의 이용자들의 시점을 고려할때 아치형 보행로 적용으로 안전한 보행환경 보장하였다.‘풍요를 기원하는 누에’와‘은하수 오작교 ’형상화로 이야기거리 (Story Telling)를 제공했고, 반포로를 이용하는 운전자 시점을 고려하여 부드러운 곡선형 강관아치 적용으로 운행중 시선을 분산시키지 않고 주행안전성를 확보하려 했다. 교각이 없는 다리, 외부에서 제작하여 하룻밤에 교량을 맞추었다.<NA>서초구청<NA>서울특별시 서초구 반포 4동 산 59-1번지<NA><NA><NA>3500080000<NA><NA>
718SGPD-00064CIB-005직선을 단순화하여 디자인된 제품으로 앉음 기능에 충실하였고 친환경 소재인 앙카 볼트를 사용하여 현장 설치가 용의하며 어떠한 장소에서도 설치 가능하여 다양한 연출이 가능하다. 친환경소재인 원목을 좌판에 사용하여 이용자에게 따듯한 질감과시각적 안정감을 준다.CIB-005씨엔아이플러스(주)신 풍 석경기도 부천시 원미구 상3동 533-1 드라마씨티빌딩 407호0216440801cniplus@naver.comHardwood, AL-Casting1620550405기와진회색, 고궁갈색
84SGPD-00069HBE-B1001군더더기 없는 형태와 볼드한 느낌의 주물은 두꺼운 목재 사이사이에 스며들어 깔끔한 마감 디테일과 정갈한 무게감을 느낄 수 있다. 사다리꼴 형태의 다리와 앉음목의 일체화된 형태가 공간에 편안한 이미지로 조화를 이룬다. 재질 특성상 녹이 슬지 않으며 목재 역시 특별한 관리가 필요 없다.HBE-B1001헤브론(주)김 소 정경기도 성남시 분당구 금곡동 63-2 청하빌딩 1층07077253896jinok.p@gmail.comHardwood, AL-Casting1500415405Dark Gray
94SGPD-00071HBE-1003도심에 놓여지는 공공시설물에 고급스러운 이미지를 주기 위해 장식을 최대한 배제한 디자인이다. 솔리드한 다리와 미려한 마감의 목재가 어우러져 공간에 중후한 무게감과 품격을 더한다. 재질 특성상 녹이 슬지 않으며 목재 역시 특별한 관리가 필요 없다.HBE-1003헤브론(주)김 소 정경기도 성남시 분당구 금곡동 63-2 청하빌딩 1층07077253896jinok.p@gmail.comHardwood, Steel1600415400Dark Gray
인증회차인증번호인증제품명인증제품설명모델명업체 상호명업체 담당자업체 주소업체 연락처업체 이메일재질규격 가로(mm)규격 세로(mm)규격 높이(mm)칼라
111728SGPD-01133가로등분전함기존 가로등 분전함의 각진 직육면체의 형상을 지붕에 라운딩 처리를 하여 기능과 디자인 모두를 잃지 않도록 하였고, 슬림한 외관을 통해 보도점유율을 최소화 하여 보행환경개선에 도움이 될 수 있도록 하였습니다.ALS-B영인글로벌(주)신용환인천광역시 서구 보도진로 780325750661yg575@daum.net@02^STS304@05^AL60615203201580기와진회색
111826SGPD-01086MDSS51-10A21기와 진회색을 사용하여 묵직한 느낌과 어디에나 자연스럽게 사용이 가능하도록 하였다. 각진 보강재를 사용하여 깔끔하면서도 세련된 이미지를 주어 쾌적한 분위기를 연출해 서울다움을 강화하는 디자인이다.MDSS51-10A21(등주) MDQM-100-40(등기구)주식회사 명도산업조명이사길경기도 김포시 대곶면 대곶서로 314-5203198938689893868@naver.com@01^SS275@01^STK275325032910000기와진회색(PX8576(S)-SC2940)
111928SGPD-01005보행자펜스서울 우수공공디자인 가이드라인을 바탕으로 펜스의 규격을 설정하고 장식적인 요소를 최소화하여 단순하고 간결한 형태로 디자인.MF-SW022주식회사 디자인모프김한수,김미영서울특별시 금천구 가산디지털2로 184,1516호0220386640designmoff@daum.net@02^40x80@05^Φ502000801100기와진회색
112026SGPD-01073디자인형울타리▷ 펜스의 기능적 요소인 안전성 그리고 주변 환경의 조화로울 수 있도록 디자인하였다. ▷ 펜스에 가할 수 있는 과도한 디자인 요소를 최소화하였으며, 심플하면서도 고급스럽게 디자인하였다. ▷ 횡바를 단순한 원형,사각 파이프가 아닌 T자 형태의 횡바를 사용하여 독특하면서 심플할수 있도록 디자인하였다 ▷ 서로 연계가 가능한 디자인으로 같은 장소 다른 용도에 맞혀 다양하게 설치할 수 있게 디자인하였다.SN-112(주)에스앤백명욱경기도 의정부시 청사로 5번길 20-8 아띠랑스 A동 804호0318522918sn6221@naver.com@05^130*68@02^30*10,40*102000681100기와진회색
112126SGPD-01074디자인형울타리▷ 펜스의 기능적 요소인 안전성 그리고 주변 환경의 조화로울 수 있도록 디자인하였다. ▷ 펜스에 가할 수 있는 과도한 디자인 요소를 최소화하였으며, 심플하면서도 고급스럽게 디자인하였다. ▷ 횡바를 단순한 원형,사각 파이프가 아닌 T자 형태의 횡바를 사용하여 독특하면서 심플할수 있도록 디자인하였다 ▷ 서로 연계가 가능한 디자인으로 같은 장소 다른 용도에 맞혀 다양하게 설치할 수 있게 디자인하였다.SN-113(주)에스앤백명욱경기도 의정부시 청사로 5번길 20-8 아띠랑스 A동 804호0318522918sn6221@naver.com@05^130*68@02^30*10,40*10@02^30*30,20*102000681100기와진회색
112228SGPD-01130교량용펜스* 주 지주에 가로보와 세로보가 결합한 간결하고 심플한 디자인 * 장식적요소와 부재를 최소화하여 시각적인 개방감을 살림 * 지정색 (기와진회색) 을 사용하여 도심경관 및 주변환경과 조화를 이룸 * 단순하고 간결한 패턴으로 도심경관의 자연스러운 연속성을 살린 디자인 * 기능을 우선으로 하여 안정성과 범용성을 고려한 디자인 * 심플한 포스트 사용으로 시각적, 구조적 안정감을 더해줌 * 가로보를 잇는 세로형 보조지주를 사용으로 구조적 견고함을 더한 디자인 [img src=KWA-748 대표이미지.jpg]KWA-748(주)케이원레일윤경원경기도 안성시 양성면 양성로 4490316769464ws0907@naver.com@05^6061 T6@05^6063 T520001801400기와진회색
112326SGPD-01083펜스(자전거도로용)휀스의 규격을 최소화하여 보행자나 운전자의 시야를 확보하였으며, 과도한 색채나 장식적 요소를 지양하였다.J-102-1G-1중재기업주식회사이용남경기도 부천시 원미구 길주로276, 무광오피스빌딩 906호0323268742jjae8742@hanmail.net@05^80*75@01^Ø60.5*2.0T@01^Ø48.6*1.4T200012001200기와진회색
112426SGPD-01060벤치목재와 철재의 결합으로 고급스러움을 강조하였으며, 특히 측면에 장식 목재를 철재사이에 넣어 목재의 아름다움을 강조하여 디자인하였음.ZWB-470주식회사 자인박주현경기도 광주시 도척면 사기소길14번길 290262895100zaingroup@naver.com@07^Hard Wood 80x30, 80x50@05^Al-Casting1600540770목재(밤나무색),스틸(메탈릭 그레이)
112526SGPD-01078보행자용 펜스복잡한 도심 속 공공시설물의 기능을 충실히 이행하고, 조화롭게 공존할 수 있는 제품을 지향하였으며, 기존의 공공시설물 디자인과 출돌되지 않는 형태를 고려한 기능적인 디자인을 의도하였다.HS-F159-2해성금속씨앤디(주)정윤진경기도 김포시 대곶면 율생중앙로 169번길 1450319981579hscnd@naver.com@01^KS D 3507(SPP)@01^KS D 3566(SGT275)18003261100기와진회색
112627SGPD-01109보행자용펜스-서울 우수공공디자인 가이드라인을 바탕으로 펜스의 규격을 설정하고 장식적인 요소를 최소화하여 단순하고 간결한 형태로 디자인 하였다.MF-SW032주식회사 디자인모프김한수, 김미영서울시 금천구 가산디지털2로 184,1516호0220386640designmoff@daum.net@02^Φ48.6*1.5t2000601100기와진회색