Overview

Dataset statistics

Number of variables76
Number of observations10000
Missing cells495121
Missing cells (%)65.1%
Duplicate rows767
Duplicate rows (%)7.7%
Total size in memory5.9 MiB
Average record size in memory623.0 B

Variable types

Text46
Categorical22
Unsupported5
Numeric3

Dataset

Description충청남도 연구개발 장비 정보 입니다. 장비명,분류,보유대수,모델명,장비활용 등의 항목을 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/bigdata/collect/view.chungnam?menuCd=DOM_000000201001001000&apiIdx=2605

Alerts

Dataset has 767 (7.7%) duplicate rowsDuplicates
대분류 is highly imbalanced (78.7%)Imbalance
예약가능 여부 is highly imbalanced (90.8%)Imbalance
AS담당자명 is highly imbalanced (91.2%)Imbalance
설치호실 is highly imbalanced (98.0%)Imbalance
전담기관명(과제관리전문기관명) is highly imbalanced (96.1%)Imbalance
과제번호 is highly imbalanced (96.0%)Imbalance
과제유형 is highly imbalanced (95.5%)Imbalance
6T분류 is highly imbalanced (97.6%)Imbalance
5대 중점 투자분야 is highly imbalanced (98.6%)Imbalance
시작일 is highly imbalanced (97.6%)Imbalance
종료일 is highly imbalanced (97.5%)Imbalance
주관기관명 is highly imbalanced (97.5%)Imbalance
사업자번호.2 is highly imbalanced (96.5%)Imbalance
주소.2 is highly imbalanced (97.6%)Imbalance
지역.2 is highly imbalanced (96.8%)Imbalance
대상년도.1 is highly imbalanced (95.6%)Imbalance
활용가능시간 is highly imbalanced (98.4%)Imbalance
최대가동시간(단위:h) is highly imbalanced (98.5%)Imbalance
비고 is highly imbalanced (99.2%)Imbalance
장비사용료 수입실적(원) is highly imbalanced (98.6%)Imbalance
활용상태 is highly imbalanced (98.2%)Imbalance
사용계획 is highly imbalanced (98.1%)Imbalance
장비명(영문) has 8253 (82.5%) missing valuesMissing
자산관리번호 has 8892 (88.9%) missing valuesMissing
ZEUS 관리번호 has 9111 (91.1%) missing valuesMissing
e-Tube 관리번호 has 9501 (95.0%) missing valuesMissing
중분류 has 9034 (90.3%) missing valuesMissing
소분류 has 9148 (91.5%) missing valuesMissing
장비구분 has 8996 (90.0%) missing valuesMissing
장비용도 has 8994 (89.9%) missing valuesMissing
제작사 has 9006 (90.1%) missing valuesMissing
제작 국가 has 9093 (90.9%) missing valuesMissing
구매 방법 has 9209 (92.1%) missing valuesMissing
보유대수 has 9127 (91.3%) missing valuesMissing
모델명 has 8931 (89.3%) missing valuesMissing
취득(예정)일 has 8684 (86.8%) missing valuesMissing
취득금액(단위:원) has 8641 (86.4%) missing valuesMissing
내용연수(단위:년) has 9081 (90.8%) missing valuesMissing
장비활용범위 has 8845 (88.4%) missing valuesMissing
장비대표이미지 has 9029 (90.3%) missing valuesMissing
장비설명 has 8735 (87.4%) missing valuesMissing
장비구성 has 9122 (91.2%) missing valuesMissing
장비활용 예시 has 9312 (93.1%) missing valuesMissing
기관의뢰 has 9354 (93.5%) missing valuesMissing
직접사용 has 9365 (93.7%) missing valuesMissing
임대가능 has 9388 (93.9%) missing valuesMissing
설치형태 has 9573 (95.7%) missing valuesMissing
판매사명 has 9573 (95.7%) missing valuesMissing
판매국가 has 9530 (95.3%) missing valuesMissing
판매전화번호 has 9457 (94.6%) missing valuesMissing
AS국가 has 9432 (94.3%) missing valuesMissing
AS전화번호 has 9605 (96.0%) missing valuesMissing
AS전화번호.1 has 9503 (95.0%) missing valuesMissing
AS담당자전화번호 has 9446 (94.5%) missing valuesMissing
보유기관 유형 has 9301 (93.0%) missing valuesMissing
보유기관명 has 9295 (93.0%) missing valuesMissing
사업자번호 has 9296 (93.0%) missing valuesMissing
우편번호 has 9374 (93.7%) missing valuesMissing
주소 has 9278 (92.8%) missing valuesMissing
지역 has 9371 (93.7%) missing valuesMissing
설치기관 유형 has 9404 (94.0%) missing valuesMissing
설치기관명 has 9409 (94.1%) missing valuesMissing
사업자번호.1 has 9359 (93.6%) missing valuesMissing
우편번호.1 has 9540 (95.4%) missing valuesMissing
주소.1 has 9627 (96.3%) missing valuesMissing
지역.1 has 9708 (97.1%) missing valuesMissing
설치장소 has 9868 (98.7%) missing valuesMissing
설치층수 has 9846 (98.5%) missing valuesMissing
대상년도 has 9801 (98.0%) missing valuesMissing
사업명 has 9888 (98.9%) missing valuesMissing
과제명 has 9888 (98.9%) missing valuesMissing
우편번호.2 has 9911 (99.1%) missing valuesMissing
총괄책임자 has 9966 (99.7%) missing valuesMissing
연도가동시간 has 9968 (99.7%) missing valuesMissing
연도가동률(%) has 9968 (99.7%) missing valuesMissing
판매국가 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역.1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
설치장소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
설치층수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
대상년도 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-01-09 21:05:16.938312
Analysis finished2024-01-09 21:05:22.781318
Duration5.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

장비명(한글)
Text

Distinct7433
Distinct (%)75.0%
Missing85
Missing (%)0.9%
Memory size156.2 KiB
2024-01-10T06:05:23.259536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length937
Median length340
Mean length35.293192
Min length1

Characters and Unicode

Total characters349932
Distinct characters1175
Distinct categories18 ?
Distinct scripts6 ?
Distinct blocks16 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6644 ?
Unique (%)67.0%

Sample

1st row\
2nd rowh) Revolution Speed : 0 to 1800rpm\
3rd row블레이드서버
4th row - 기계 한대로 사각형의 용기를 2가지 병용할 수 있다.\
5th row조직 절편 슬라이드 제작\
ValueCountFrequency (%)
9122
 
12.9%
및 622
 
0.9%
2 522
 
0.7%
1 444
 
0.6%
수 342
 
0.5%
x 324
 
0.5%
3 299
 
0.4%
to 265
 
0.4%
4 265
 
0.4%
and 261
 
0.4%
Other values (20558) 57995
82.3%
2024-01-10T06:05:23.779670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
76948
 
22.0%
e 11332
 
3.2%
t 8053
 
2.3%
\ 7994
 
2.3%
o 7588
 
2.2%
a 7453
 
2.1%
i 7406
 
2.1%
r 7342
 
2.1%
n 6723
 
1.9%
0 6220
 
1.8%
Other values (1165) 202873
58.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 97865
28.0%
Lowercase Letter 96107
27.5%
Space Separator 76967
22.0%
Uppercase Letter 26365
 
7.5%
Decimal Number 21999
 
6.3%
Other Punctuation 19199
 
5.5%
Dash Punctuation 4024
 
1.1%
Close Punctuation 2994
 
0.9%
Open Punctuation 2292
 
0.7%
Math Symbol 1195
 
0.3%
Other values (8) 925
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 2655
 
2.7%
기 1976
 
2.0%
의 1818
 
1.9%
시 1654
 
1.7%
하 1529
 
1.6%
도 1447
 
1.5%
가 1433
 
1.5%
정 1429
 
1.5%
에 1412
 
1.4%
용 1397
 
1.4%
Other values (956) 81115
82.9%
Other Symbol
ValueCountFrequency (%)
℃ 336
45.3%
° 75
 
10.1%
○ 63
 
8.5%
◈ 52
 
7.0%
㏈ 26
 
3.5%
㎐ 16
 
2.2%
㎛ 15
 
2.0%
㎜ 15
 
2.0%
㎥ 12
 
1.6%
㎠ 12
 
1.6%
Other values (28) 120
 
16.2%
Lowercase Letter
ValueCountFrequency (%)
e 11332
11.8%
t 8053
 
8.4%
o 7588
 
7.9%
a 7453
 
7.8%
i 7406
 
7.7%
r 7342
 
7.6%
n 6723
 
7.0%
s 5376
 
5.6%
l 4837
 
5.0%
m 4709
 
4.9%
Other values (23) 25288
26.3%
Uppercase Letter
ValueCountFrequency (%)
S 2421
 
9.2%
D 2173
 
8.2%
C 1919
 
7.3%
A 1778
 
6.7%
P 1734
 
6.6%
M 1710
 
6.5%
R 1436
 
5.4%
E 1345
 
5.1%
T 1288
 
4.9%
H 1259
 
4.8%
Other values (22) 9302
35.3%
Other Punctuation
ValueCountFrequency (%)
\ 7994
41.6%
. 4774
24.9%
: 3592
18.7%
/ 1352
 
7.0%
* 389
 
2.0%
% 309
 
1.6%
& 185
 
1.0%
" 115
 
0.6%
; 113
 
0.6%
? 98
 
0.5%
Other values (13) 278
 
1.4%
Math Symbol
ValueCountFrequency (%)
~ 376
31.5%
+ 244
20.4%
± 226
18.9%
× 125
 
10.5%
< 72
 
6.0%
= 39
 
3.3%
～ 34
 
2.8%
> 30
 
2.5%
→ 13
 
1.1%
≤ 8
 
0.7%
Other values (10) 28
 
2.3%
Other Number
ValueCountFrequency (%)
① 16
20.3%
③ 11
13.9%
② 11
13.9%
④ 10
12.7%
⑤ 8
10.1%
² 4
 
5.1%
⑦ 3
 
3.8%
½ 3
 
3.8%
⑬ 2
 
2.5%
⑥ 2
 
2.5%
Other values (7) 9
11.4%
Decimal Number
ValueCountFrequency (%)
0 6220
28.3%
1 3841
17.5%
2 3007
13.7%
5 2023
 
9.2%
3 1901
 
8.6%
4 1509
 
6.9%
6 1228
 
5.6%
8 960
 
4.4%
7 672
 
3.1%
9 634
 
2.9%
Other values (4) 4
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 2256
98.4%
[ 27
 
1.2%
〔 3
 
0.1%
{ 2
 
0.1%
〈 2
 
0.1%
「 1
 
< 0.1%
【 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 2959
98.8%
] 28
 
0.9%
〕 3
 
0.1%
} 2
 
0.1%
」 1
 
< 0.1%
】 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
ⅹ 8
44.4%
Ⅳ 4
22.2%
Ⅱ 3
 
16.7%
Ⅰ 2
 
11.1%
Ⅲ 1
 
5.6%
Modifier Symbol
ValueCountFrequency (%)
˚ 14
51.9%
^ 11
40.7%
¸ 2
 
7.4%
Space Separator
ValueCountFrequency (%)
76948
> 99.9%
　 19
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 4021
99.9%
－ 3
 
0.1%
Final Punctuation
ValueCountFrequency (%)
’ 9
50.0%
” 9
50.0%
Initial Punctuation
ValueCountFrequency (%)
“ 7
53.8%
‘ 6
46.2%
Currency Symbol
ValueCountFrequency (%)
￠ 3
50.0%
＄ 3
50.0%
Connector Punctuation
ValueCountFrequency (%)
_ 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 129589
37.0%
Latin 122428
35.0%
Hangul 96830
27.7%
Han 1023
 
0.3%
Greek 61
 
< 0.1%
Hiragana 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 2655
 
2.7%
기 1976
 
2.0%
의 1818
 
1.9%
시 1654
 
1.7%
하 1529
 
1.6%
도 1447
 
1.5%
가 1433
 
1.5%
정 1429
 
1.5%
에 1412
 
1.5%
용 1397
 
1.4%
Other values (880) 80080
82.7%
Common
ValueCountFrequency (%)
76948
59.4%
\ 7994
 
6.2%
0 6220
 
4.8%
. 4774
 
3.7%
- 4021
 
3.1%
1 3841
 
3.0%
: 3592
 
2.8%
2 3007
 
2.3%
) 2959
 
2.3%
( 2256
 
1.7%
Other values (130) 13977
 
10.8%
Han
ValueCountFrequency (%)
熬 900
88.0%
窩 8
 
0.8%
蛙 7
 
0.7%
瘟 6
 
0.6%
窪 5
 
0.5%
翁 4
 
0.4%
雍 4
 
0.4%
瓦 3
 
0.3%
烏 3
 
0.3%
活 3
 
0.3%
Other values (64) 80
 
7.8%
Latin
ValueCountFrequency (%)
e 11332
 
9.3%
t 8053
 
6.6%
o 7588
 
6.2%
a 7453
 
6.1%
i 7406
 
6.0%
r 7342
 
6.0%
n 6723
 
5.5%
s 5376
 
4.4%
l 4837
 
4.0%
m 4709
 
3.8%
Other values (50) 51609
42.2%
Greek
ValueCountFrequency (%)
μ 28
45.9%
Φ 18
29.5%
θ 4
 
6.6%
Δ 2
 
3.3%
Ω 2
 
3.3%
λ 2
 
3.3%
φ 2
 
3.3%
Θ 1
 
1.6%
Ω 1
 
1.6%
σ 1
 
1.6%
Hiragana
ValueCountFrequency (%)
だ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 250450
71.6%
Hangul 96806
 
27.7%
CJK 1018
 
0.3%
None 765
 
0.2%
Letterlike Symbols 365
 
0.1%
CJK Compat 157
 
< 0.1%
Geometric Shapes 155
 
< 0.1%
Enclosed Alphanum 69
 
< 0.1%
Punctuation 44
 
< 0.1%
Compat Jamo 24
 
< 0.1%
Other values (6) 79
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
76948
30.7%
e 11332
 
4.5%
t 8053
 
3.2%
\ 7994
 
3.2%
o 7588
 
3.0%
a 7453
 
3.0%
i 7406
 
3.0%
r 7342
 
2.9%
n 6723
 
2.7%
0 6220
 
2.5%
Other values (82) 103391
41.3%
Hangul
ValueCountFrequency (%)
이 2655
 
2.7%
기 1976
 
2.0%
의 1818
 
1.9%
시 1654
 
1.7%
하 1529
 
1.6%
도 1447
 
1.5%
가 1433
 
1.5%
정 1429
 
1.5%
에 1412
 
1.5%
용 1397
 
1.4%
Other values (874) 80056
82.7%
CJK
ValueCountFrequency (%)
熬 900
88.4%
窩 8
 
0.8%
蛙 7
 
0.7%
瘟 6
 
0.6%
窪 5
 
0.5%
翁 4
 
0.4%
雍 4
 
0.4%
瓦 3
 
0.3%
烏 3
 
0.3%
活 3
 
0.3%
Other values (60) 75
 
7.4%
Letterlike Symbols
ValueCountFrequency (%)
℃ 336
92.1%
ℓ 12
 
3.3%
℉ 8
 
2.2%
™ 7
 
1.9%
Ω 2
 
0.5%
None
ValueCountFrequency (%)
± 226
29.5%
× 125
16.3%
° 75
 
9.8%
？ 70
 
9.2%
· 69
 
9.0%
～ 34
 
4.4%
μ 28
 
3.7%
　 19
 
2.5%
Φ 18
 
2.4%
Ø 14
 
1.8%
Other values (35) 87
 
11.4%
Geometric Shapes
ValueCountFrequency (%)
○ 63
40.6%
◈ 52
33.5%
■ 12
 
7.7%
△ 10
 
6.5%
● 9
 
5.8%
◎ 3
 
1.9%
▶ 2
 
1.3%
□ 2
 
1.3%
◇ 1
 
0.6%
▲ 1
 
0.6%
CJK Compat
ValueCountFrequency (%)
㏈ 26
16.6%
㎐ 16
10.2%
㎛ 15
9.6%
㎜ 15
9.6%
㎥ 12
7.6%
㎠ 12
7.6%
㎖ 11
7.0%
㎓ 9
 
5.7%
㎏ 9
 
5.7%
㎡ 6
 
3.8%
Other values (13) 26
16.6%
Compat Jamo
ValueCountFrequency (%)
ㅇ 17
70.8%
ㅉ 2
 
8.3%
ㆍ 2
 
8.3%
ㅘ 1
 
4.2%
ㄷ 1
 
4.2%
ㄱ 1
 
4.2%
Enclosed Alphanum
ValueCountFrequency (%)
① 16
23.2%
③ 11
15.9%
② 11
15.9%
④ 10
14.5%
⑤ 8
11.6%
⑦ 3
 
4.3%
⑬ 2
 
2.9%
⑥ 2
 
2.9%
⑩ 2
 
2.9%
⑫ 1
 
1.4%
Other values (3) 3
 
4.3%
Modifier Letters
ValueCountFrequency (%)
˚ 14
100.0%
Arrows
ValueCountFrequency (%)
→ 13
76.5%
← 3
 
17.6%
↓ 1
 
5.9%
Punctuation
ValueCountFrequency (%)
’ 9
20.5%
” 9
20.5%
“ 7
15.9%
… 6
13.6%
‘ 6
13.6%
※ 5
11.4%
″ 2
 
4.5%
Number Forms
ValueCountFrequency (%)
ⅹ 8
44.4%
Ⅳ 4
22.2%
Ⅱ 3
 
16.7%
Ⅰ 2
 
11.1%
Ⅲ 1
 
5.6%
Math Operators
ValueCountFrequency (%)
≤ 8
33.3%
∼ 7
29.2%
≥ 4
16.7%
∮ 3
 
12.5%
√ 1
 
4.2%
∞ 1
 
4.2%
CJK Compat Ideographs
ValueCountFrequency (%)
瑩 2
40.0%
降 1
20.0%
玲 1
20.0%
聆 1
20.0%
Hiragana
ValueCountFrequency (%)
だ 1
100.0%

장비명(영문)
Text

MISSING 

Distinct1225
Distinct (%)70.1%
Missing8253
Missing (%)82.5%
Memory size156.2 KiB
2024-01-10T06:05:24.093240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length262
Mean length37.686892
Min length1

Characters and Unicode

Total characters65839
Distinct characters737
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1100 ?
Unique (%)63.0%

Sample

1st rowBlade Server
2nd rowVehicle Control/Status Signal Simulation System
3rd row동물 의약품 반응기는 원료의약품 동물약품 및 의약품 원료재료 생산이 가능하며 고지혈증 치료제 당뇨 치료제 등 제네릭 의약품에 활용이 가능하다.\
4th rowContinuous Bio-mass Reactor System
5th rowBending Beam Theometer
ValueCountFrequency (%)
576
 
4.5%
및 199
 
1.6%
system 175
 
1.4%
y 145
 
1.1%
1 122
 
1.0%
blade 105
 
0.8%
server 86
 
0.7%
수 82
 
0.6%
위한 49
 
0.4%
등 47
 
0.4%
Other values (5694) 11168
87.6%
2024-01-10T06:05:24.545315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11268
 
17.1%
e 3008
 
4.6%
r 2004
 
3.0%
t 1721
 
2.6%
a 1673
 
2.5%
i 1501
 
2.3%
o 1455
 
2.2%
n 1307
 
2.0%
s 1219
 
1.9%
l 1042
 
1.6%
Other values (727) 39641
60.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21665
32.9%
Lowercase Letter 21046
32.0%
Space Separator 11269
17.1%
Uppercase Letter 6646
 
10.1%
Decimal Number 2017
 
3.1%
Other Punctuation 1848
 
2.8%
Dash Punctuation 369
 
0.6%
Close Punctuation 350
 
0.5%
Open Punctuation 319
 
0.5%
Math Symbol 178
 
0.3%
Other values (5) 132
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 554
 
2.6%
이 490
 
2.3%
하 454
 
2.1%
에 407
 
1.9%
용 381
 
1.8%
기 375
 
1.7%
을 348
 
1.6%
는 331
 
1.5%
한 330
 
1.5%
분 319
 
1.5%
Other values (615) 17676
81.6%
Uppercase Letter
ValueCountFrequency (%)
S 703
 
10.6%
C 593
 
8.9%
T 462
 
7.0%
A 448
 
6.7%
E 441
 
6.6%
M 411
 
6.2%
R 400
 
6.0%
P 382
 
5.7%
D 335
 
5.0%
I 297
 
4.5%
Other values (17) 2174
32.7%
Lowercase Letter
ValueCountFrequency (%)
e 3008
14.3%
r 2004
 
9.5%
t 1721
 
8.2%
a 1673
 
7.9%
i 1501
 
7.1%
o 1455
 
6.9%
n 1307
 
6.2%
s 1219
 
5.8%
l 1042
 
5.0%
m 1019
 
4.8%
Other values (16) 5097
24.2%
Other Symbol
ValueCountFrequency (%)
℃ 54
50.5%
○ 10
 
9.3%
° 9
 
8.4%
㎜ 9
 
8.4%
□ 7
 
6.5%
■ 4
 
3.7%
㎏ 3
 
2.8%
● 3
 
2.8%
㎚ 2
 
1.9%
㎛ 2
 
1.9%
Other values (4) 4
 
3.7%
Other Punctuation
ValueCountFrequency (%)
. 672
36.4%
\ 624
33.8%
: 268
 
14.5%
/ 147
 
8.0%
* 46
 
2.5%
& 36
 
1.9%
? 20
 
1.1%
% 19
 
1.0%
· 4
 
0.2%
@ 4
 
0.2%
Other values (3) 8
 
0.4%
Decimal Number
ValueCountFrequency (%)
0 551
27.3%
1 379
18.8%
2 243
12.0%
5 234
11.6%
6 172
 
8.5%
3 166
 
8.2%
4 112
 
5.6%
8 86
 
4.3%
9 37
 
1.8%
7 37
 
1.8%
Math Symbol
ValueCountFrequency (%)
+ 110
61.8%
~ 27
 
15.2%
± 13
 
7.3%
× 10
 
5.6%
∼ 6
 
3.4%
< 5
 
2.8%
= 3
 
1.7%
> 3
 
1.7%
～ 1
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 343
98.0%
] 4
 
1.1%
） 3
 
0.9%
Open Punctuation
ValueCountFrequency (%)
( 312
97.8%
[ 4
 
1.3%
（ 3
 
0.9%
Space Separator
ValueCountFrequency (%)
11268
> 99.9%
　 1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 369
100.0%
Control
ValueCountFrequency (%)
22
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Other Number
ValueCountFrequency (%)
① 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 27693
42.1%
Hangul 21633
32.9%
Common 16481
25.0%
Han 32
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 554
 
2.6%
이 490
 
2.3%
하 454
 
2.1%
에 407
 
1.9%
용 381
 
1.8%
기 375
 
1.7%
을 348
 
1.6%
는 331
 
1.5%
한 330
 
1.5%
분 319
 
1.5%
Other values (611) 17644
81.6%
Common
ValueCountFrequency (%)
11268
68.4%
. 672
 
4.1%
\ 624
 
3.8%
0 551
 
3.3%
1 379
 
2.3%
- 369
 
2.2%
) 343
 
2.1%
( 312
 
1.9%
: 268
 
1.6%
2 243
 
1.5%
Other values (48) 1452
 
8.8%
Latin
ValueCountFrequency (%)
e 3008
 
10.9%
r 2004
 
7.2%
t 1721
 
6.2%
a 1673
 
6.0%
i 1501
 
5.4%
o 1455
 
5.3%
n 1307
 
4.7%
s 1219
 
4.4%
l 1042
 
3.8%
m 1019
 
3.7%
Other values (44) 11744
42.4%
Han
ValueCountFrequency (%)
熬 29
90.6%
蛙 1
 
3.1%
堧 1
 
3.1%
袖 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44021
66.9%
Hangul 21607
32.8%
Letterlike Symbols 55
 
0.1%
None 47
 
0.1%
CJK 32
 
< 0.1%
Compat Jamo 26
 
< 0.1%
Geometric Shapes 26
 
< 0.1%
CJK Compat 17
 
< 0.1%
Math Operators 6
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11268
25.6%
e 3008
 
6.8%
r 2004
 
4.6%
t 1721
 
3.9%
a 1673
 
3.8%
i 1501
 
3.4%
o 1455
 
3.3%
n 1307
 
3.0%
s 1219
 
2.8%
l 1042
 
2.4%
Other values (76) 17823
40.5%
Hangul
ValueCountFrequency (%)
의 554
 
2.6%
이 490
 
2.3%
하 454
 
2.1%
에 407
 
1.9%
용 381
 
1.8%
기 375
 
1.7%
을 348
 
1.6%
는 331
 
1.5%
한 330
 
1.5%
분 319
 
1.5%
Other values (609) 17618
81.5%
Letterlike Symbols
ValueCountFrequency (%)
℃ 54
98.2%
™ 1
 
1.8%
CJK
ValueCountFrequency (%)
熬 29
90.6%
蛙 1
 
3.1%
堧 1
 
3.1%
袖 1
 
3.1%
Compat Jamo
ValueCountFrequency (%)
ㅇ 25
96.2%
ㅧ 1
 
3.8%
None
ValueCountFrequency (%)
± 13
27.7%
× 10
21.3%
° 9
19.1%
· 4
 
8.5%
） 3
 
6.4%
（ 3
 
6.4%
？ 2
 
4.3%
Ø 1
 
2.1%
　 1
 
2.1%
～ 1
 
2.1%
Geometric Shapes
ValueCountFrequency (%)
○ 10
38.5%
□ 7
26.9%
■ 4
 
15.4%
● 3
 
11.5%
◆ 1
 
3.8%
◎ 1
 
3.8%
CJK Compat
ValueCountFrequency (%)
㎜ 9
52.9%
㎏ 3
 
17.6%
㎚ 2
 
11.8%
㎛ 2
 
11.8%
㎾ 1
 
5.9%
Math Operators
ValueCountFrequency (%)
∼ 6
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
① 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

자산관리번호
Text

MISSING 

Distinct751
Distinct (%)67.8%
Missing8892
Missing (%)88.9%
Memory size156.2 KiB
2024-01-10T06:05:24.755475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length252
Median length141
Mean length14.453971
Min length1

Characters and Unicode

Total characters16015
Distinct characters320
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique698 ?
Unique (%)63.0%

Sample

1st row02RA04-093001-B1877-061
2nd rowA20054996
3rd rowA2011020063
4th row02B01-07E2A0004
5th rowNDFD-09-004
ValueCountFrequency (%)
n 146
 
6.5%
y 136
 
6.0%
통한 35
 
1.6%
33
 
1.5%
각종 30
 
1.3%
이용한 30
 
1.3%
node 28
 
1.2%
처리에 28
 
1.2%
데이터 28
 
1.2%
대용량 28
 
1.2%
Other values (1029) 1736
76.9%
2024-01-10T06:05:25.100208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2923
18.3%
1151
 
7.2%
1 1126
 
7.0%
2 995
 
6.2%
- 820
 
5.1%
A 527
 
3.3%
4 494
 
3.1%
3 491
 
3.1%
6 459
 
2.9%
5 369
 
2.3%
Other values (310) 6660
41.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7850
49.0%
Other Letter 3145
19.6%
Uppercase Letter 1914
 
12.0%
Space Separator 1151
 
7.2%
Lowercase Letter 1020
 
6.4%
Dash Punctuation 820
 
5.1%
Other Punctuation 98
 
0.6%
Close Punctuation 8
 
< 0.1%
Open Punctuation 7
 
< 0.1%
Connector Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 155
 
4.9%
용 126
 
4.0%
의 125
 
4.0%
을 120
 
3.8%
에 84
 
2.7%
한 81
 
2.6%
대 73
 
2.3%
해 72
 
2.3%
통 65
 
2.1%
리 65
 
2.1%
Other values (246) 2179
69.3%
Uppercase Letter
ValueCountFrequency (%)
A 527
27.5%
R 254
13.3%
B 193
 
10.1%
N 167
 
8.7%
Y 136
 
7.1%
C 111
 
5.8%
S 75
 
3.9%
I 67
 
3.5%
D 54
 
2.8%
P 44
 
2.3%
Other values (16) 286
14.9%
Lowercase Letter
ValueCountFrequency (%)
e 269
26.4%
r 202
19.8%
n 102
 
10.0%
d 86
 
8.4%
a 66
 
6.5%
o 64
 
6.3%
v 37
 
3.6%
l 35
 
3.4%
c 34
 
3.3%
f 29
 
2.8%
Other values (10) 96
 
9.4%
Decimal Number
ValueCountFrequency (%)
0 2923
37.2%
1 1126
 
14.3%
2 995
 
12.7%
4 494
 
6.3%
3 491
 
6.3%
6 459
 
5.8%
5 369
 
4.7%
7 343
 
4.4%
8 338
 
4.3%
9 312
 
4.0%
Other Punctuation
ValueCountFrequency (%)
. 51
52.0%
\ 44
44.9%
/ 3
 
3.1%
Space Separator
ValueCountFrequency (%)
1151
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 820
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9936
62.0%
Hangul 3145
 
19.6%
Latin 2934
 
18.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 155
 
4.9%
용 126
 
4.0%
의 125
 
4.0%
을 120
 
3.8%
에 84
 
2.7%
한 81
 
2.6%
대 73
 
2.3%
해 72
 
2.3%
통 65
 
2.1%
리 65
 
2.1%
Other values (246) 2179
69.3%
Latin
ValueCountFrequency (%)
A 527
18.0%
e 269
 
9.2%
R 254
 
8.7%
r 202
 
6.9%
B 193
 
6.6%
N 167
 
5.7%
Y 136
 
4.6%
C 111
 
3.8%
n 102
 
3.5%
d 86
 
2.9%
Other values (36) 887
30.2%
Common
ValueCountFrequency (%)
0 2923
29.4%
1151
 
11.6%
1 1126
 
11.3%
2 995
 
10.0%
- 820
 
8.3%
4 494
 
5.0%
3 491
 
4.9%
6 459
 
4.6%
5 369
 
3.7%
7 343
 
3.5%
Other values (8) 765
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12870
80.4%
Hangul 3145
 
19.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2923
22.7%
1151
 
8.9%
1 1126
 
8.7%
2 995
 
7.7%
- 820
 
6.4%
A 527
 
4.1%
4 494
 
3.8%
3 491
 
3.8%
6 459
 
3.6%
5 369
 
2.9%
Other values (54) 3515
27.3%
Hangul
ValueCountFrequency (%)
이 155
 
4.9%
용 126
 
4.0%
의 125
 
4.0%
을 120
 
3.8%
에 84
 
2.7%
한 81
 
2.6%
대 73
 
2.3%
해 72
 
2.3%
통 65
 
2.1%
리 65
 
2.1%
Other values (246) 2179
69.3%

ZEUS 관리번호
Text

MISSING 

Distinct638
Distinct (%)71.8%
Missing9111
Missing (%)91.1%
Memory size156.2 KiB
2024-01-10T06:05:25.288259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length14.569179
Min length1

Characters and Unicode

Total characters12952
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique602 ?
Unique (%)67.7%

Sample

1st rowNFEC-2011-02-141102
2nd rowNFEC-2011-05-145499
3rd rowNFEC-2008-08-063741
4th rowNFEC-2011-02-144036
5th rowN
ValueCountFrequency (%)
n 130
 
14.6%
y 88
 
9.9%
nfec-2011-02-143606 3
 
0.3%
nfec-2018-03-242751 2
 
0.2%
nfec-2012-09-169940 2
 
0.2%
nfec-2008-09-067973 2
 
0.2%
nfec-2017-10-240239 2
 
0.2%
nfec-2012-10-171400 2
 
0.2%
nfec-2017-05-237619 2
 
0.2%
nfec-2011-02-141469 2
 
0.2%
Other values (628) 654
73.6%
2024-01-10T06:05:25.611210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2010
15.5%
0 1867
14.4%
1 1673
12.9%
2 1390
10.7%
N 800
 
6.2%
C 670
 
5.2%
E 670
 
5.2%
F 670
 
5.2%
4 521
 
4.0%
7 495
 
3.8%
Other values (7) 2186
16.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8041
62.1%
Uppercase Letter 2898
 
22.4%
Dash Punctuation 2010
 
15.5%
Space Separator 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1867
23.2%
1 1673
20.8%
2 1390
17.3%
4 521
 
6.5%
7 495
 
6.2%
6 464
 
5.8%
8 449
 
5.6%
3 407
 
5.1%
5 400
 
5.0%
9 375
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
N 800
27.6%
C 670
23.1%
E 670
23.1%
F 670
23.1%
Y 88
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 2010
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10054
77.6%
Latin 2898
 
22.4%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2010
20.0%
0 1867
18.6%
1 1673
16.6%
2 1390
13.8%
4 521
 
5.2%
7 495
 
4.9%
6 464
 
4.6%
8 449
 
4.5%
3 407
 
4.0%
5 400
 
4.0%
Other values (2) 378
 
3.8%
Latin
ValueCountFrequency (%)
N 800
27.6%
C 670
23.1%
E 670
23.1%
F 670
23.1%
Y 88
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12952
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2010
15.5%
0 1867
14.4%
1 1673
12.9%
2 1390
10.7%
N 800
 
6.2%
C 670
 
5.2%
E 670
 
5.2%
F 670
 
5.2%
4 521
 
4.0%
7 495
 
3.8%
Other values (7) 2186
16.9%

e-Tube 관리번호
Text

MISSING 

Distinct222
Distinct (%)44.5%
Missing9501
Missing (%)95.0%
Memory size156.2 KiB
2024-01-10T06:05:25.869641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length11
Mean length5.5511022
Min length1

Characters and Unicode

Total characters2770
Distinct characters36
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

Unique202 ?
Unique (%)40.5%

Sample

1st rowE0007290
2nd rowE0002112
3rd row고정형
4th row고정형
5th row이동형
ValueCountFrequency (%)
고정형 159
31.7%
n 81
 
16.1%
이동형 16
 
3.2%
y 8
 
1.6%
e0008870 3
 
0.6%
e00011564 2
 
0.4%
e0004783 2
 
0.4%
e0007281 2
 
0.4%
e0008610 2
 
0.4%
e0006729 2
 
0.4%
Other values (215) 225
44.8%
2024-01-10T06:05:26.248922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 729
26.3%
1 255
 
9.2%
E 175
 
6.3%
형 175
 
6.3%
고 159
 
5.7%
정 159
 
5.7%
- 130
 
4.7%
7 122
 
4.4%
5 113
 
4.1%
2 109
 
3.9%
Other values (26) 644
23.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1768
63.8%
Other Letter 525
 
19.0%
Uppercase Letter 344
 
12.4%
Dash Punctuation 130
 
4.7%
Space Separator 3
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 175
50.9%
N 82
23.8%
C 24
 
7.0%
G 14
 
4.1%
B 12
 
3.5%
Y 8
 
2.3%
D 8
 
2.3%
F 4
 
1.2%
Z 3
 
0.9%
A 2
 
0.6%
Other values (9) 12
 
3.5%
Decimal Number
ValueCountFrequency (%)
0 729
41.2%
1 255
 
14.4%
7 122
 
6.9%
5 113
 
6.4%
2 109
 
6.2%
8 102
 
5.8%
6 93
 
5.3%
9 92
 
5.2%
4 82
 
4.6%
3 71
 
4.0%
Other Letter
ValueCountFrequency (%)
형 175
33.3%
고 159
30.3%
정 159
30.3%
동 16
 
3.0%
이 16
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 130
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1901
68.6%
Hangul 525
 
19.0%
Latin 344
 
12.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 175
50.9%
N 82
23.8%
C 24
 
7.0%
G 14
 
4.1%
B 12
 
3.5%
Y 8
 
2.3%
D 8
 
2.3%
F 4
 
1.2%
Z 3
 
0.9%
A 2
 
0.6%
Other values (9) 12
 
3.5%
Common
ValueCountFrequency (%)
0 729
38.3%
1 255
 
13.4%
- 130
 
6.8%
7 122
 
6.4%
5 113
 
5.9%
2 109
 
5.7%
8 102
 
5.4%
6 93
 
4.9%
9 92
 
4.8%
4 82
 
4.3%
Other values (2) 74
 
3.9%
Hangul
ValueCountFrequency (%)
형 175
33.3%
고 159
30.3%
정 159
30.3%
동 16
 
3.0%
이 16
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2245
81.0%
Hangul 525
 
19.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 729
32.5%
1 255
 
11.4%
E 175
 
7.8%
- 130
 
5.8%
7 122
 
5.4%
5 113
 
5.0%
2 109
 
4.9%
8 102
 
4.5%
6 93
 
4.1%
9 92
 
4.1%
Other values (21) 325
14.5%
Hangul
ValueCountFrequency (%)
형 175
33.3%
고 159
30.3%
정 159
30.3%
동 16
 
3.0%
이 16
 
3.0%

대분류
Categorical

IMBALANCE 

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8947 
N
 
287
화합물전처리/분석장비
 
159
기계가공/시험장비
 
150
데이터처리장비
 
105
Other values (9)
 
352

Length

Max length12
Median length4
Mean length4.1715
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row데이터처리장비
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 8947
89.5%
N 287
 
2.9%
화합물전처리/분석장비 159
 
1.6%
기계가공/시험장비 150
 
1.5%
데이터처리장비 105
 
1.1%
고정형 101
 
1.0%
광학/전자영상장비 62
 
0.6%
Y 59
 
0.6%
물리적측정장비 47
 
0.5%
전기/전자장비 37
 
0.4%
Other values (4) 46
 
0.5%

Length

2024-01-10T06:05:26.402040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 8947
89.5%
n 287
 
2.9%
화합물전처리/분석장비 159
 
1.6%
기계가공/시험장비 150
 
1.5%
데이터처리장비 105
 
1.1%
고정형 101
 
1.0%
광학/전자영상장비 62
 
0.6%
y 59
 
0.6%
물리적측정장비 47
 
0.5%
전기/전자장비 37
 
0.4%
Other values (4) 46
 
0.5%

중분류
Text

MISSING 

Distinct118
Distinct (%)12.2%
Missing9034
Missing (%)90.3%
Memory size156.2 KiB
2024-01-10T06:05:26.590691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length5.9606625
Min length1

Characters and Unicode

Total characters5758
Distinct characters232
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

Unique59 ?
Unique (%)6.1%

Sample

1st row하드웨어
2nd row성형/가공장비
3rd row달리분류되지않는기계가공/시험장비
4th rowSK C&C
5th row재료물성시험장비
ValueCountFrequency (%)
n 180
 
18.1%
하드웨어 89
 
8.9%
바이오제조/분석장비 44
 
4.4%
재료물성시험장비 42
 
4.2%
분광분석장비 32
 
3.2%
lgcns 25
 
2.5%
열유체장비 25
 
2.5%
성형/가공장비 24
 
2.4%
카메라/영상처리장비 24
 
2.4%
반응/혼합/분쇄장비 23
 
2.3%
Other values (113) 489
49.0%
2024-01-10T06:05:26.928426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
비 485
 
8.4%
장 484
 
8.4%
/ 278
 
4.8%
분 265
 
4.6%
N 214
 
3.7%
정 130
 
2.3%
석 127
 
2.2%
리 115
 
2.0%
어 113
 
2.0%
이 110
 
1.9%
Other values (222) 3437
59.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4811
83.6%
Uppercase Letter 503
 
8.7%
Other Punctuation 291
 
5.1%
Lowercase Letter 92
 
1.6%
Space Separator 31
 
0.5%
Other Symbol 11
 
0.2%
Decimal Number 8
 
0.1%
Open Punctuation 5
 
0.1%
Close Punctuation 5
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
비 485
 
10.1%
장 484
 
10.1%
분 265
 
5.5%
정 130
 
2.7%
석 127
 
2.6%
리 115
 
2.4%
어 113
 
2.3%
이 110
 
2.3%
웨 103
 
2.1%
측 97
 
2.0%
Other values (174) 2782
57.8%
Uppercase Letter
ValueCountFrequency (%)
N 214
42.5%
C 60
 
11.9%
S 48
 
9.5%
G 32
 
6.4%
L 29
 
5.8%
K 25
 
5.0%
Y 19
 
3.8%
T 17
 
3.4%
E 15
 
3.0%
M 8
 
1.6%
Other values (12) 36
 
7.2%
Lowercase Letter
ValueCountFrequency (%)
e 13
14.1%
r 11
12.0%
t 10
10.9%
n 9
9.8%
s 9
9.8%
a 8
8.7%
o 5
 
5.4%
i 5
 
5.4%
l 4
 
4.3%
k 4
 
4.3%
Other values (7) 14
15.2%
Other Punctuation
ValueCountFrequency (%)
/ 278
95.5%
& 13
 
4.5%
Decimal Number
ValueCountFrequency (%)
0 6
75.0%
3 2
 
25.0%
Space Separator
ValueCountFrequency (%)
31
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4822
83.7%
Latin 595
 
10.3%
Common 341
 
5.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
비 485
 
10.1%
장 484
 
10.0%
분 265
 
5.5%
정 130
 
2.7%
석 127
 
2.6%
리 115
 
2.4%
어 113
 
2.3%
이 110
 
2.3%
웨 103
 
2.1%
측 97
 
2.0%
Other values (175) 2793
57.9%
Latin
ValueCountFrequency (%)
N 214
36.0%
C 60
 
10.1%
S 48
 
8.1%
G 32
 
5.4%
L 29
 
4.9%
K 25
 
4.2%
Y 19
 
3.2%
T 17
 
2.9%
E 15
 
2.5%
e 13
 
2.2%
Other values (29) 123
20.7%
Common
ValueCountFrequency (%)
/ 278
81.5%
31
 
9.1%
& 13
 
3.8%
0 6
 
1.8%
( 5
 
1.5%
) 5
 
1.5%
3 2
 
0.6%
- 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4811
83.6%
ASCII 936
 
16.3%
None 11
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
비 485
 
10.1%
장 484
 
10.1%
분 265
 
5.5%
정 130
 
2.7%
석 127
 
2.6%
리 115
 
2.4%
어 113
 
2.3%
이 110
 
2.3%
웨 103
 
2.1%
측 97
 
2.0%
Other values (174) 2782
57.8%
ASCII
ValueCountFrequency (%)
/ 278
29.7%
N 214
22.9%
C 60
 
6.4%
S 48
 
5.1%
G 32
 
3.4%
31
 
3.3%
L 29
 
3.1%
K 25
 
2.7%
Y 19
 
2.0%
T 17
 
1.8%
Other values (37) 183
19.6%
None
ValueCountFrequency (%)
㈜ 11
100.0%

소분류
Text

MISSING 

Distinct233
Distinct (%)27.3%
Missing9148
Missing (%)91.5%
Memory size156.2 KiB
2024-01-10T06:05:27.160337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length7.0880282
Min length1

Characters and Unicode

Total characters6039
Distinct characters319
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

Unique124 ?
Unique (%)14.6%

Sample

1st row고성능컴퓨터
2nd row절곡벤딩장비
3rd row대한민국
4th row경도시험기
5th row대한민국
ValueCountFrequency (%)
대한민국 138
 
15.9%
달리분류되지않는이미지분석장비 74
 
8.5%
고성능컴퓨터 50
 
5.8%
n 41
 
4.7%
서버 33
 
3.8%
배양장치 11
 
1.3%
랩프렌드 10
 
1.2%
미국 9
 
1.0%
절단장비 9
 
1.0%
달리분류되지않는장비소프트웨어 8
 
0.9%
Other values (229) 484
55.8%
2024-01-10T06:05:27.512003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
분 316
 
5.2%
장 260
 
4.3%
비 224
 
3.7%
지 223
 
3.7%
리 189
 
3.1%
기 158
 
2.6%
국 154
 
2.6%
한 148
 
2.5%
류 148
 
2.5%
대 143
 
2.4%
Other values (309) 4076
67.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5704
94.5%
Uppercase Letter 158
 
2.6%
Other Punctuation 117
 
1.9%
Lowercase Letter 19
 
0.3%
Space Separator 15
 
0.2%
Decimal Number 8
 
0.1%
Close Punctuation 5
 
0.1%
Open Punctuation 5
 
0.1%
Dash Punctuation 5
 
0.1%
Other Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
분 316
 
5.5%
장 260
 
4.6%
비 224
 
3.9%
지 223
 
3.9%
리 189
 
3.3%
기 158
 
2.8%
국 154
 
2.7%
한 148
 
2.6%
류 148
 
2.6%
대 143
 
2.5%
Other values (269) 3741
65.6%
Uppercase Letter
ValueCountFrequency (%)
N 48
30.4%
C 24
15.2%
S 14
 
8.9%
D 10
 
6.3%
K 9
 
5.7%
E 9
 
5.7%
L 6
 
3.8%
G 5
 
3.2%
X 5
 
3.2%
T 4
 
2.5%
Other values (10) 24
15.2%
Lowercase Letter
ValueCountFrequency (%)
e 4
21.1%
r 3
15.8%
h 3
15.8%
o 2
10.5%
m 1
 
5.3%
a 1
 
5.3%
b 1
 
5.3%
l 1
 
5.3%
t 1
 
5.3%
n 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
/ 108
92.3%
& 8
 
6.8%
? 1
 
0.9%
Space Separator
ValueCountFrequency (%)
15
100.0%
Decimal Number
ValueCountFrequency (%)
3 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5707
94.5%
Latin 177
 
2.9%
Common 155
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
분 316
 
5.5%
장 260
 
4.6%
비 224
 
3.9%
지 223
 
3.9%
리 189
 
3.3%
기 158
 
2.8%
국 154
 
2.7%
한 148
 
2.6%
류 148
 
2.6%
대 143
 
2.5%
Other values (270) 3744
65.6%
Latin
ValueCountFrequency (%)
N 48
27.1%
C 24
13.6%
S 14
 
7.9%
D 10
 
5.6%
K 9
 
5.1%
E 9
 
5.1%
L 6
 
3.4%
G 5
 
2.8%
X 5
 
2.8%
T 4
 
2.3%
Other values (21) 43
24.3%
Common
ValueCountFrequency (%)
/ 108
69.7%
15
 
9.7%
3 8
 
5.2%
& 8
 
5.2%
) 5
 
3.2%
( 5
 
3.2%
- 5
 
3.2%
? 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5704
94.5%
ASCII 332
 
5.5%
None 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
분 316
 
5.5%
장 260
 
4.6%
비 224
 
3.9%
지 223
 
3.9%
리 189
 
3.3%
기 158
 
2.8%
국 154
 
2.7%
한 148
 
2.6%
류 148
 
2.6%
대 143
 
2.5%
Other values (269) 3741
65.6%
ASCII
ValueCountFrequency (%)
/ 108
32.5%
N 48
14.5%
C 24
 
7.2%
15
 
4.5%
S 14
 
4.2%
D 10
 
3.0%
K 9
 
2.7%
E 9
 
2.7%
3 8
 
2.4%
& 8
 
2.4%
Other values (29) 79
23.8%
None
ValueCountFrequency (%)
㈜ 3
100.0%

장비구분
Text

MISSING 

Distinct66
Distinct (%)6.6%
Missing8996
Missing (%)90.0%
Memory size156.2 KiB
2024-01-10T06:05:27.724060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length3
Mean length4.3017928
Min length2

Characters and Unicode

Total characters4319
Distinct characters65
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

Unique47 ?
Unique (%)4.7%

Sample

1st row주장비
2nd row주장비
3rd row주장비
4th row주장비
5th row주장비
ValueCountFrequency (%)
주장비 672
66.9%
부대장비 80
 
8.0%
대한민국 79
 
7.9%
02-6363-5000 29
 
2.9%
02-6970-1500 23
 
2.3%
보조장치 19
 
1.9%
02-6400-0114 13
 
1.3%
100 7
 
0.7%
042-336-4114 6
 
0.6%
lgcns 5
 
0.5%
Other values (56) 71
 
7.1%
2024-01-10T06:05:28.054039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 771
17.9%
비 752
17.4%
주 675
15.6%
0 403
9.3%
- 244
 
5.6%
대 160
 
3.7%
1 135
 
3.1%
3 134
 
3.1%
6 132
 
3.1%
2 118
 
2.7%
Other values (55) 795
18.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2787
64.5%
Decimal Number 1243
28.8%
Dash Punctuation 244
 
5.6%
Uppercase Letter 39
 
0.9%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 771
27.7%
비 752
27.0%
주 675
24.2%
대 160
 
5.7%
국 82
 
2.9%
한 80
 
2.9%
부 80
 
2.9%
민 79
 
2.8%
치 19
 
0.7%
조 19
 
0.7%
Other values (31) 70
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
C 7
17.9%
N 7
17.9%
S 7
17.9%
G 5
12.8%
L 5
12.8%
E 3
7.7%
T 1
 
2.6%
M 1
 
2.6%
R 1
 
2.6%
F 1
 
2.6%
Decimal Number
ValueCountFrequency (%)
0 403
32.4%
1 135
 
10.9%
3 134
 
10.8%
6 132
 
10.6%
2 118
 
9.5%
5 102
 
8.2%
4 88
 
7.1%
7 69
 
5.6%
9 36
 
2.9%
8 26
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 244
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2787
64.5%
Common 1493
34.6%
Latin 39
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 771
27.7%
비 752
27.0%
주 675
24.2%
대 160
 
5.7%
국 82
 
2.9%
한 80
 
2.9%
부 80
 
2.9%
민 79
 
2.8%
치 19
 
0.7%
조 19
 
0.7%
Other values (31) 70
 
2.5%
Common
ValueCountFrequency (%)
0 403
27.0%
- 244
16.3%
1 135
 
9.0%
3 134
 
9.0%
6 132
 
8.8%
2 118
 
7.9%
5 102
 
6.8%
4 88
 
5.9%
7 69
 
4.6%
9 36
 
2.4%
Other values (3) 32
 
2.1%
Latin
ValueCountFrequency (%)
C 7
17.9%
N 7
17.9%
S 7
17.9%
G 5
12.8%
L 5
12.8%
E 3
7.7%
T 1
 
2.6%
M 1
 
2.6%
R 1
 
2.6%
F 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2787
64.5%
ASCII 1532
35.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 771
27.7%
비 752
27.0%
주 675
24.2%
대 160
 
5.7%
국 82
 
2.9%
한 80
 
2.9%
부 80
 
2.9%
민 79
 
2.8%
치 19
 
0.7%
조 19
 
0.7%
Other values (31) 70
 
2.5%
ASCII
ValueCountFrequency (%)
0 403
26.3%
- 244
15.9%
1 135
 
8.8%
3 134
 
8.7%
6 132
 
8.6%
2 118
 
7.7%
5 102
 
6.7%
4 88
 
5.7%
7 69
 
4.5%
9 36
 
2.3%
Other values (14) 71
 
4.6%

장비용도
Text

MISSING 

Distinct117
Distinct (%)11.6%
Missing8994
Missing (%)89.9%
Memory size156.2 KiB
2024-01-10T06:05:28.245036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length2
Mean length3.6530815
Min length2

Characters and Unicode

Total characters3675
Distinct characters189
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

Unique84 ?
Unique (%)8.3%

Sample

1st row생산
2nd row시험
3rd row가공
4th row분석
5th row생산
ValueCountFrequency (%)
시험 243
21.9%
분석 221
19.9%
생산 172
15.5%
계측 41
 
3.7%
델 39
 
3.5%
인터내셔널 39
 
3.5%
주식회사 39
 
3.5%
교육 37
 
3.3%
기타 29
 
2.6%
가공 28
 
2.5%
Other values (114) 221
19.9%
2024-01-10T06:05:28.577504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 248
 
6.7%
험 243
 
6.6%
분 221
 
6.0%
석 221
 
6.0%
생 172
 
4.7%
산 172
 
4.7%
0 166
 
4.5%
- 143
 
3.9%
103
 
2.8%
4 92
 
2.5%
Other values (179) 1894
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2480
67.5%
Decimal Number 706
 
19.2%
Dash Punctuation 143
 
3.9%
Lowercase Letter 134
 
3.6%
Space Separator 103
 
2.8%
Uppercase Letter 88
 
2.4%
Other Symbol 11
 
0.3%
Open Punctuation 5
 
0.1%
Close Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 248
 
10.0%
험 243
 
9.8%
분 221
 
8.9%
석 221
 
8.9%
생 172
 
6.9%
산 172
 
6.9%
사 48
 
1.9%
주 46
 
1.9%
인 44
 
1.8%
이 43
 
1.7%
Other values (125) 1022
41.2%
Uppercase Letter
ValueCountFrequency (%)
G 13
14.8%
I 12
13.6%
L 9
10.2%
T 7
8.0%
A 7
8.0%
E 7
8.0%
S 5
 
5.7%
K 5
 
5.7%
M 4
 
4.5%
N 3
 
3.4%
Other values (11) 16
18.2%
Lowercase Letter
ValueCountFrequency (%)
l 23
17.2%
i 16
11.9%
e 15
11.2%
t 11
8.2%
r 11
8.2%
n 10
7.5%
w 9
 
6.7%
s 8
 
6.0%
a 7
 
5.2%
o 7
 
5.2%
Other values (8) 17
12.7%
Decimal Number
ValueCountFrequency (%)
0 166
23.5%
4 92
13.0%
2 88
12.5%
3 68
9.6%
1 63
 
8.9%
7 52
 
7.4%
9 49
 
6.9%
6 49
 
6.9%
8 40
 
5.7%
5 39
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 143
100.0%
Space Separator
ValueCountFrequency (%)
103
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2491
67.8%
Common 962
 
26.2%
Latin 222
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 248
 
10.0%
험 243
 
9.8%
분 221
 
8.9%
석 221
 
8.9%
생 172
 
6.9%
산 172
 
6.9%
사 48
 
1.9%
주 46
 
1.8%
인 44
 
1.8%
이 43
 
1.7%
Other values (126) 1033
41.5%
Latin
ValueCountFrequency (%)
l 23
 
10.4%
i 16
 
7.2%
e 15
 
6.8%
G 13
 
5.9%
I 12
 
5.4%
t 11
 
5.0%
r 11
 
5.0%
n 10
 
4.5%
w 9
 
4.1%
L 9
 
4.1%
Other values (29) 93
41.9%
Common
ValueCountFrequency (%)
0 166
17.3%
- 143
14.9%
103
10.7%
4 92
9.6%
2 88
9.1%
3 68
7.1%
1 63
 
6.5%
7 52
 
5.4%
9 49
 
5.1%
6 49
 
5.1%
Other values (4) 89
9.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2480
67.5%
ASCII 1184
32.2%
None 11
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 248
 
10.0%
험 243
 
9.8%
분 221
 
8.9%
석 221
 
8.9%
생 172
 
6.9%
산 172
 
6.9%
사 48
 
1.9%
주 46
 
1.9%
인 44
 
1.8%
이 43
 
1.7%
Other values (125) 1022
41.2%
ASCII
ValueCountFrequency (%)
0 166
14.0%
- 143
12.1%
103
 
8.7%
4 92
 
7.8%
2 88
 
7.4%
3 68
 
5.7%
1 63
 
5.3%
7 52
 
4.4%
9 49
 
4.1%
6 49
 
4.1%
Other values (43) 311
26.3%
None
ValueCountFrequency (%)
㈜ 11
100.0%

제작사
Text

MISSING 

Distinct496
Distinct (%)49.9%
Missing9006
Missing (%)90.1%
Memory size156.2 KiB
2024-01-10T06:05:28.823085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length47
Mean length9.1981891
Min length2

Characters and Unicode

Total characters9143
Distinct characters292
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

Unique368 ?
Unique (%)37.0%

Sample

1st rowDell
2nd row이노시뮬레이션
3rd row한울
4th rowAts
5th row태창엔지니어링
ValueCountFrequency (%)
대한민국 138
 
11.3%
dell 66
 
5.4%
agilent 21
 
1.7%
instruments 19
 
1.6%
technologies 18
 
1.5%
주식회사 15
 
1.2%
scientific 13
 
1.1%
perkin 11
 
0.9%
elmer 11
 
0.9%
thermo 11
 
0.9%
Other values (556) 898
73.5%
2024-01-10T06:05:29.223000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2032
22.2%
e 447
 
4.9%
l 300
 
3.3%
i 291
 
3.2%
o 264
 
2.9%
n 247
 
2.7%
r 234
 
2.6%
t 223
 
2.4%
a 208
 
2.3%
s 188
 
2.1%
Other values (282) 4709
51.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3279
35.9%
Other Letter 2618
28.6%
Space Separator 2032
22.2%
Uppercase Letter 875
 
9.6%
Decimal Number 105
 
1.1%
Close Punctuation 68
 
0.7%
Open Punctuation 68
 
0.7%
Dash Punctuation 43
 
0.5%
Other Punctuation 28
 
0.3%
Other Symbol 27
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 178
 
6.8%
대 157
 
6.0%
국 156
 
6.0%
민 138
 
5.3%
이 123
 
4.7%
스 89
 
3.4%
텍 70
 
2.7%
주 66
 
2.5%
기 47
 
1.8%
아 44
 
1.7%
Other values (212) 1550
59.2%
Lowercase Letter
ValueCountFrequency (%)
e 447
13.6%
l 300
9.1%
i 291
8.9%
o 264
 
8.1%
n 247
 
7.5%
r 234
 
7.1%
t 223
 
6.8%
a 208
 
6.3%
s 188
 
5.7%
c 154
 
4.7%
Other values (16) 723
22.0%
Uppercase Letter
ValueCountFrequency (%)
S 94
 
10.7%
D 85
 
9.7%
A 84
 
9.6%
T 79
 
9.0%
E 55
 
6.3%
C 54
 
6.2%
I 51
 
5.8%
M 47
 
5.4%
B 38
 
4.3%
L 34
 
3.9%
Other values (16) 254
29.0%
Decimal Number
ValueCountFrequency (%)
0 33
31.4%
3 23
21.9%
6 14
13.3%
2 11
 
10.5%
5 10
 
9.5%
1 7
 
6.7%
7 3
 
2.9%
8 2
 
1.9%
4 2
 
1.9%
Other Punctuation
ValueCountFrequency (%)
& 16
57.1%
. 10
35.7%
\ 1
 
3.6%
? 1
 
3.6%
Space Separator
ValueCountFrequency (%)
2032
100.0%
Close Punctuation
ValueCountFrequency (%)
) 68
100.0%
Open Punctuation
ValueCountFrequency (%)
( 68
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4154
45.4%
Hangul 2645
28.9%
Common 2344
25.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 178
 
6.7%
대 157
 
5.9%
국 156
 
5.9%
민 138
 
5.2%
이 123
 
4.7%
스 89
 
3.4%
텍 70
 
2.6%
주 66
 
2.5%
기 47
 
1.8%
아 44
 
1.7%
Other values (213) 1577
59.6%
Latin
ValueCountFrequency (%)
e 447
 
10.8%
l 300
 
7.2%
i 291
 
7.0%
o 264
 
6.4%
n 247
 
5.9%
r 234
 
5.6%
t 223
 
5.4%
a 208
 
5.0%
s 188
 
4.5%
c 154
 
3.7%
Other values (42) 1598
38.5%
Common
ValueCountFrequency (%)
2032
86.7%
) 68
 
2.9%
( 68
 
2.9%
- 43
 
1.8%
0 33
 
1.4%
3 23
 
1.0%
& 16
 
0.7%
6 14
 
0.6%
2 11
 
0.5%
5 10
 
0.4%
Other values (7) 26
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6498
71.1%
Hangul 2618
28.6%
None 27
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2032
31.3%
e 447
 
6.9%
l 300
 
4.6%
i 291
 
4.5%
o 264
 
4.1%
n 247
 
3.8%
r 234
 
3.6%
t 223
 
3.4%
a 208
 
3.2%
s 188
 
2.9%
Other values (59) 2064
31.8%
Hangul
ValueCountFrequency (%)
한 178
 
6.8%
대 157
 
6.0%
국 156
 
6.0%
민 138
 
5.3%
이 123
 
4.7%
스 89
 
3.4%
텍 70
 
2.7%
주 66
 
2.5%
기 47
 
1.8%
아 44
 
1.7%
Other values (212) 1550
59.2%
None
ValueCountFrequency (%)
㈜ 27
100.0%

제작 국가
Text

MISSING 

Distinct87
Distinct (%)9.6%
Missing9093
Missing (%)90.9%
Memory size156.2 KiB
2024-01-10T06:05:29.442523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length4.2017641
Min length2

Characters and Unicode

Total characters3811
Distinct characters87
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

Unique56 ?
Unique (%)6.2%

Sample

1st row미국
2nd row대한민국
3rd row미국
4th row대한민국
5th row1588-7777
ValueCountFrequency (%)
대한민국 325
35.8%
미국 223
24.6%
일본 74
 
8.1%
독일 67
 
7.4%
080-860-9911 39
 
4.3%
영국 19
 
2.1%
02-712-8866 9
 
1.0%
1588-7777 9
 
1.0%
스위스 7
 
0.8%
대만 7
 
0.8%
Other values (78) 129
 
14.2%
2024-01-10T06:05:29.776739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 573
15.0%
대 333
 
8.7%
한 326
 
8.6%
민 325
 
8.5%
0 277
 
7.3%
- 244
 
6.4%
미 223
 
5.9%
1 198
 
5.2%
8 159
 
4.2%
일 145
 
3.8%
Other values (77) 1008
26.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2291
60.1%
Decimal Number 1252
32.9%
Dash Punctuation 244
 
6.4%
Uppercase Letter 17
 
0.4%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 573
25.0%
대 333
14.5%
한 326
14.2%
민 325
14.2%
미 223
 
9.7%
일 145
 
6.3%
본 74
 
3.2%
독 67
 
2.9%
스 30
 
1.3%
영 19
 
0.8%
Other values (53) 176
 
7.7%
Decimal Number
ValueCountFrequency (%)
0 277
22.1%
1 198
15.8%
8 159
12.7%
7 102
 
8.1%
6 99
 
7.9%
9 99
 
7.9%
2 88
 
7.0%
3 81
 
6.5%
5 79
 
6.3%
4 70
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
E 3
17.6%
S 3
17.6%
N 2
11.8%
C 2
11.8%
M 2
11.8%
R 1
 
5.9%
T 1
 
5.9%
F 1
 
5.9%
G 1
 
5.9%
J 1
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 244
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2291
60.1%
Common 1503
39.4%
Latin 17
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 573
25.0%
대 333
14.5%
한 326
14.2%
민 325
14.2%
미 223
 
9.7%
일 145
 
6.3%
본 74
 
3.2%
독 67
 
2.9%
스 30
 
1.3%
영 19
 
0.8%
Other values (53) 176
 
7.7%
Common
ValueCountFrequency (%)
0 277
18.4%
- 244
16.2%
1 198
13.2%
8 159
10.6%
7 102
 
6.8%
6 99
 
6.6%
9 99
 
6.6%
2 88
 
5.9%
3 81
 
5.4%
5 79
 
5.3%
Other values (4) 77
 
5.1%
Latin
ValueCountFrequency (%)
E 3
17.6%
S 3
17.6%
N 2
11.8%
C 2
11.8%
M 2
11.8%
R 1
 
5.9%
T 1
 
5.9%
F 1
 
5.9%
G 1
 
5.9%
J 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2291
60.1%
ASCII 1520
39.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 573
25.0%
대 333
14.5%
한 326
14.2%
민 325
14.2%
미 223
 
9.7%
일 145
 
6.3%
본 74
 
3.2%
독 67
 
2.9%
스 30
 
1.3%
영 19
 
0.8%
Other values (53) 176
 
7.7%
ASCII
ValueCountFrequency (%)
0 277
18.2%
- 244
16.1%
1 198
13.0%
8 159
10.5%
7 102
 
6.7%
6 99
 
6.5%
9 99
 
6.5%
2 88
 
5.8%
3 81
 
5.3%
5 79
 
5.2%
Other values (14) 94
 
6.2%

구매 방법
Text

MISSING 

Distinct77
Distinct (%)9.7%
Missing9209
Missing (%)92.1%
Memory size156.2 KiB
2024-01-10T06:05:29.996041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length4
Mean length4.6232617
Min length2

Characters and Unicode

Total characters3657
Distinct characters86
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)7.5%

Sample

1st row내자구매
2nd row내자구매
3rd row내자구매
4th row내자구매
5th row내자구매
ValueCountFrequency (%)
내자구매 600
75.8%
외자구매 47
 
5.9%
자체개발 16
 
2.0%
대한민국 13
 
1.6%
042-364-8979 11
 
1.4%
080-860-9911 10
 
1.3%
장윤수 6
 
0.8%
042-330-0700 5
 
0.6%
042-933-9461 3
 
0.4%
1588-0911 3
 
0.4%
Other values (68) 78
 
9.8%
2024-01-10T06:05:30.368098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
자 663
18.1%
매 647
17.7%
구 647
17.7%
내 600
16.4%
0 136
 
3.7%
- 134
 
3.7%
1 76
 
2.1%
4 73
 
2.0%
9 72
 
2.0%
2 70
 
1.9%
Other values (76) 539
14.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2843
77.7%
Decimal Number 677
 
18.5%
Dash Punctuation 134
 
3.7%
Space Separator 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 663
23.3%
매 647
22.8%
구 647
22.8%
내 600
21.1%
외 47
 
1.7%
체 16
 
0.6%
발 16
 
0.6%
개 16
 
0.6%
민 15
 
0.5%
한 14
 
0.5%
Other values (64) 162
 
5.7%
Decimal Number
ValueCountFrequency (%)
0 136
20.1%
1 76
11.2%
4 73
10.8%
9 72
10.6%
2 70
10.3%
8 67
9.9%
3 61
9.0%
7 50
 
7.4%
6 40
 
5.9%
5 32
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 134
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2843
77.7%
Common 814
 
22.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 663
23.3%
매 647
22.8%
구 647
22.8%
내 600
21.1%
외 47
 
1.7%
체 16
 
0.6%
발 16
 
0.6%
개 16
 
0.6%
민 15
 
0.5%
한 14
 
0.5%
Other values (64) 162
 
5.7%
Common
ValueCountFrequency (%)
0 136
16.7%
- 134
16.5%
1 76
9.3%
4 73
9.0%
9 72
8.8%
2 70
8.6%
8 67
8.2%
3 61
7.5%
7 50
 
6.1%
6 40
 
4.9%
Other values (2) 35
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2843
77.7%
ASCII 814
 
22.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
자 663
23.3%
매 647
22.8%
구 647
22.8%
내 600
21.1%
외 47
 
1.7%
체 16
 
0.6%
발 16
 
0.6%
개 16
 
0.6%
민 15
 
0.5%
한 14
 
0.5%
Other values (64) 162
 
5.7%
ASCII
ValueCountFrequency (%)
0 136
16.7%
- 134
16.5%
1 76
9.3%
4 73
9.0%
9 72
8.8%
2 70
8.6%
8 67
8.2%
3 61
7.5%
7 50
 
6.1%
6 40
 
4.9%
Other values (2) 35
 
4.3%

보유대수
Text

MISSING 

Distinct74
Distinct (%)8.5%
Missing9127
Missing (%)91.3%
Memory size156.2 KiB
2024-01-10T06:05:30.585569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length1
Mean length1.8235968
Min length1

Characters and Unicode

Total characters1592
Distinct characters59
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

Unique62 ?
Unique (%)7.1%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1
ValueCountFrequency (%)
1 763
87.3%
김호 11
 
1.3%
0 10
 
1.1%
042-336-4114 6
 
0.7%
정기성 5
 
0.6%
김명호 3
 
0.3%
2 3
 
0.3%
010-5419-0937 2
 
0.2%
02-540-0651 2
 
0.2%
041-730-1300 2
 
0.2%
Other values (65) 67
 
7.7%
2024-01-10T06:05:30.939539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 866
54.4%
0 150
 
9.4%
- 115
 
7.2%
3 66
 
4.1%
4 62
 
3.9%
2 49
 
3.1%
7 45
 
2.8%
5 39
 
2.4%
6 39
 
2.4%
9 25
 
1.6%
Other values (49) 136
 
8.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1365
85.7%
Dash Punctuation 115
 
7.2%
Other Letter 100
 
6.3%
Lowercase Letter 7
 
0.4%
Uppercase Letter 3
 
0.2%
Space Separator 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 17
17.0%
호 14
14.0%
정 9
 
9.0%
성 8
 
8.0%
기 5
 
5.0%
권 4
 
4.0%
명 3
 
3.0%
석 3
 
3.0%
현 3
 
3.0%
태 2
 
2.0%
Other values (28) 32
32.0%
Decimal Number
ValueCountFrequency (%)
1 866
63.4%
0 150
 
11.0%
3 66
 
4.8%
4 62
 
4.5%
2 49
 
3.6%
7 45
 
3.3%
5 39
 
2.9%
6 39
 
2.9%
9 25
 
1.8%
8 24
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
a 2
28.6%
n 2
28.6%
s 1
14.3%
o 1
14.3%
g 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
J 1
33.3%
F 1
33.3%
Y 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 115
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1482
93.1%
Hangul 100
 
6.3%
Latin 10
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 17
17.0%
호 14
14.0%
정 9
 
9.0%
성 8
 
8.0%
기 5
 
5.0%
권 4
 
4.0%
명 3
 
3.0%
석 3
 
3.0%
현 3
 
3.0%
태 2
 
2.0%
Other values (28) 32
32.0%
Common
ValueCountFrequency (%)
1 866
58.4%
0 150
 
10.1%
- 115
 
7.8%
3 66
 
4.5%
4 62
 
4.2%
2 49
 
3.3%
7 45
 
3.0%
5 39
 
2.6%
6 39
 
2.6%
9 25
 
1.7%
Other values (3) 26
 
1.8%
Latin
ValueCountFrequency (%)
a 2
20.0%
n 2
20.0%
J 1
10.0%
s 1
10.0%
o 1
10.0%
F 1
10.0%
Y 1
10.0%
g 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1492
93.7%
Hangul 100
 
6.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 866
58.0%
0 150
 
10.1%
- 115
 
7.7%
3 66
 
4.4%
4 62
 
4.2%
2 49
 
3.3%
7 45
 
3.0%
5 39
 
2.6%
6 39
 
2.6%
9 25
 
1.7%
Other values (11) 36
 
2.4%
Hangul
ValueCountFrequency (%)
김 17
17.0%
호 14
14.0%
정 9
 
9.0%
성 8
 
8.0%
기 5
 
5.0%
권 4
 
4.0%
명 3
 
3.0%
석 3
 
3.0%
현 3
 
3.0%
태 2
 
2.0%
Other values (28) 32
32.0%

모델명
Text

MISSING 

Distinct572
Distinct (%)53.5%
Missing8931
Missing (%)89.3%
Memory size156.2 KiB
2024-01-10T06:05:31.164035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length39
Mean length9.8587465
Min length2

Characters and Unicode

Total characters10539
Distinct characters153
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

Unique499 ?
Unique (%)46.7%

Sample

1st rowPowerEdge M610
2nd rowCANoE 6.0
3rd row개발
4th rowRTE102
5th row국?공립 연구기관
ValueCountFrequency (%)
연구기관 152
 
8.5%
지자체출연 117
 
6.5%
4년제 107
 
6.0%
사립대학 94
 
5.3%
poweredge 52
 
2.9%
기타 41
 
2.3%
민간기업 38
 
2.1%
국?공립 35
 
2.0%
m610 30
 
1.7%
dell 22
 
1.2%
Other values (852) 1102
61.6%
2024-01-10T06:05:31.516710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 814
 
7.7%
721
 
6.8%
e 367
 
3.5%
- 353
 
3.3%
1 304
 
2.9%
연 269
 
2.6%
S 262
 
2.5%
2 260
 
2.5%
4 248
 
2.4%
기 238
 
2.3%
Other values (143) 6703
63.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 2382
22.6%
Other Letter 2344
22.2%
Decimal Number 2326
22.1%
Lowercase Letter 2295
21.8%
Space Separator 721
 
6.8%
Dash Punctuation 353
 
3.3%
Other Punctuation 96
 
0.9%
Open Punctuation 9
 
0.1%
Close Punctuation 9
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
연 269
 
11.5%
기 238
 
10.2%
관 152
 
6.5%
구 152
 
6.5%
립 142
 
6.1%
지 118
 
5.0%
출 117
 
5.0%
자 117
 
5.0%
체 117
 
5.0%
제 108
 
4.6%
Other values (68) 814
34.7%
Lowercase Letter
ValueCountFrequency (%)
e 367
16.0%
o 203
 
8.8%
r 197
 
8.6%
i 172
 
7.5%
a 150
 
6.5%
t 148
 
6.4%
l 138
 
6.0%
n 124
 
5.4%
s 103
 
4.5%
m 87
 
3.8%
Other values (16) 606
26.4%
Uppercase Letter
ValueCountFrequency (%)
S 262
 
11.0%
A 188
 
7.9%
M 177
 
7.4%
P 170
 
7.1%
E 162
 
6.8%
C 150
 
6.3%
D 145
 
6.1%
T 129
 
5.4%
I 122
 
5.1%
L 118
 
5.0%
Other values (16) 759
31.9%
Decimal Number
ValueCountFrequency (%)
0 814
35.0%
1 304
 
13.1%
2 260
 
11.2%
4 248
 
10.7%
5 182
 
7.8%
3 143
 
6.1%
6 116
 
5.0%
8 100
 
4.3%
7 88
 
3.8%
9 71
 
3.1%
Other Punctuation
ValueCountFrequency (%)
? 48
50.0%
/ 21
21.9%
. 15
 
15.6%
* 6
 
6.2%
& 3
 
3.1%
: 2
 
2.1%
" 1
 
1.0%
Space Separator
ValueCountFrequency (%)
721
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 353
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4679
44.4%
Common 3516
33.4%
Hangul 2344
22.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
연 269
 
11.5%
기 238
 
10.2%
관 152
 
6.5%
구 152
 
6.5%
립 142
 
6.1%
지 118
 
5.0%
출 117
 
5.0%
자 117
 
5.0%
체 117
 
5.0%
제 108
 
4.6%
Other values (68) 814
34.7%
Latin
ValueCountFrequency (%)
e 367
 
7.8%
S 262
 
5.6%
o 203
 
4.3%
r 197
 
4.2%
A 188
 
4.0%
M 177
 
3.8%
i 172
 
3.7%
P 170
 
3.6%
E 162
 
3.5%
a 150
 
3.2%
Other values (43) 2631
56.2%
Common
ValueCountFrequency (%)
0 814
23.2%
721
20.5%
- 353
10.0%
1 304
 
8.6%
2 260
 
7.4%
4 248
 
7.1%
5 182
 
5.2%
3 143
 
4.1%
6 116
 
3.3%
8 100
 
2.8%
Other values (12) 275
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8193
77.7%
Hangul 2344
 
22.2%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 814
 
9.9%
721
 
8.8%
e 367
 
4.5%
- 353
 
4.3%
1 304
 
3.7%
S 262
 
3.2%
2 260
 
3.2%
4 248
 
3.0%
o 203
 
2.5%
r 197
 
2.4%
Other values (64) 4464
54.5%
Hangul
ValueCountFrequency (%)
연 269
 
11.5%
기 238
 
10.2%
관 152
 
6.5%
구 152
 
6.5%
립 142
 
6.1%
지 118
 
5.0%
출 117
 
5.0%
자 117
 
5.0%
체 117
 
5.0%
제 108
 
4.6%
Other values (68) 814
34.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

취득(예정)일
Text

MISSING 

Distinct561
Distinct (%)42.6%
Missing8684
Missing (%)86.8%
Memory size156.2 KiB
2024-01-10T06:05:31.741563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length10
Mean length9.0767477
Min length2

Characters and Unicode

Total characters11945
Distinct characters134
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique414 ?
Unique (%)31.5%

Sample

1st row2009-12-28
2nd row2005-10-19
3rd row2011-04-11
4th row2007-03-08
5th row2009-08-16
ValueCountFrequency (%)
충남테크노파크 117
 
7.8%
연구기관 79
 
5.3%
지자체출연 64
 
4.3%
4년제 56
 
3.7%
사립대학 43
 
2.9%
민간기업 43
 
2.9%
산학협력단 39
 
2.6%
단국대학교 36
 
2.4%
2008-09-06 32
 
2.1%
2011-04-11 30
 
2.0%
Other values (554) 956
63.9%
2024-01-10T06:05:32.102762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2161
18.1%
- 1558
 
13.0%
2 1360
 
11.4%
1 1211
 
10.1%
8 279
 
2.3%
9 240
 
2.0%
크 235
 
2.0%
6 231
 
1.9%
4 230
 
1.9%
연 214
 
1.8%
Other values (124) 4226
35.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6304
52.8%
Other Letter 3790
31.7%
Dash Punctuation 1558
 
13.0%
Space Separator 179
 
1.5%
Close Punctuation 43
 
0.4%
Open Punctuation 43
 
0.4%
Other Punctuation 28
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
크 235
 
6.2%
연 214
 
5.6%
학 208
 
5.5%
기 187
 
4.9%
대 166
 
4.4%
구 147
 
3.9%
국 143
 
3.8%
충 122
 
3.2%
남 122
 
3.2%
노 120
 
3.2%
Other values (109) 2126
56.1%
Decimal Number
ValueCountFrequency (%)
0 2161
34.3%
2 1360
21.6%
1 1211
19.2%
8 279
 
4.4%
9 240
 
3.8%
6 231
 
3.7%
4 230
 
3.6%
3 208
 
3.3%
5 194
 
3.1%
7 190
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 1558
100.0%
Space Separator
ValueCountFrequency (%)
179
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Other Punctuation
ValueCountFrequency (%)
? 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8155
68.3%
Hangul 3790
31.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
크 235
 
6.2%
연 214
 
5.6%
학 208
 
5.5%
기 187
 
4.9%
대 166
 
4.4%
구 147
 
3.9%
국 143
 
3.8%
충 122
 
3.2%
남 122
 
3.2%
노 120
 
3.2%
Other values (109) 2126
56.1%
Common
ValueCountFrequency (%)
0 2161
26.5%
- 1558
19.1%
2 1360
16.7%
1 1211
14.8%
8 279
 
3.4%
9 240
 
2.9%
6 231
 
2.8%
4 230
 
2.8%
3 208
 
2.6%
5 194
 
2.4%
Other values (5) 483
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8155
68.3%
Hangul 3790
31.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2161
26.5%
- 1558
19.1%
2 1360
16.7%
1 1211
14.8%
8 279
 
3.4%
9 240
 
2.9%
6 231
 
2.8%
4 230
 
2.8%
3 208
 
2.6%
5 194
 
2.4%
Other values (5) 483
 
5.9%
Hangul
ValueCountFrequency (%)
크 235
 
6.2%
연 214
 
5.6%
학 208
 
5.5%
기 187
 
4.9%
대 166
 
4.4%
구 147
 
3.9%
국 143
 
3.8%
충 122
 
3.2%
남 122
 
3.2%
노 120
 
3.2%
Other values (109) 2126
56.1%

취득금액(단위:원)
Text

MISSING 

Distinct669
Distinct (%)49.2%
Missing8641
Missing (%)86.4%
Memory size156.2 KiB
2024-01-10T06:05:32.322779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length8.9080206
Min length1

Characters and Unicode

Total characters12106
Distinct characters150
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

Unique512 ?
Unique (%)37.7%

Sample

1st row9122368
2nd row67000000
3rd row70770000
4th row27102000
5th row9000000
ValueCountFrequency (%)
312-82-06577 117
 
8.4%
충남테크노파크 62
 
4.4%
106-82-12299 36
 
2.6%
119-82-01008 26
 
1.9%
312-82-04676 26
 
1.9%
9122368 23
 
1.6%
5670488 22
 
1.6%
민간기업 20
 
1.4%
단국대학교 17
 
1.2%
연구기관 15
 
1.1%
Other values (664) 1037
74.0%
2024-01-10T06:05:32.693092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3167
26.2%
1 1325
10.9%
2 1007
 
8.3%
8 711
 
5.9%
- 678
 
5.6%
7 643
 
5.3%
3 635
 
5.2%
6 593
 
4.9%
5 584
 
4.8%
4 488
 
4.0%
Other values (140) 2275
18.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9588
79.2%
Other Letter 1702
 
14.1%
Dash Punctuation 678
 
5.6%
Open Punctuation 43
 
0.4%
Close Punctuation 43
 
0.4%
Space Separator 42
 
0.3%
Other Punctuation 8
 
0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
크 127
 
7.5%
학 79
 
4.6%
국 71
 
4.2%
대 66
 
3.9%
남 64
 
3.8%
노 64
 
3.8%
충 64
 
3.8%
테 63
 
3.7%
기 63
 
3.7%
파 62
 
3.6%
Other values (123) 979
57.5%
Decimal Number
ValueCountFrequency (%)
0 3167
33.0%
1 1325
13.8%
2 1007
 
10.5%
8 711
 
7.4%
7 643
 
6.7%
3 635
 
6.6%
6 593
 
6.2%
5 584
 
6.1%
4 488
 
5.1%
9 435
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
P 1
50.0%
E 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 678
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Space Separator
ValueCountFrequency (%)
42
100.0%
Other Punctuation
ValueCountFrequency (%)
? 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10402
85.9%
Hangul 1702
 
14.1%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
크 127
 
7.5%
학 79
 
4.6%
국 71
 
4.2%
대 66
 
3.9%
남 64
 
3.8%
노 64
 
3.8%
충 64
 
3.8%
테 63
 
3.7%
기 63
 
3.7%
파 62
 
3.6%
Other values (123) 979
57.5%
Common
ValueCountFrequency (%)
0 3167
30.4%
1 1325
12.7%
2 1007
 
9.7%
8 711
 
6.8%
- 678
 
6.5%
7 643
 
6.2%
3 635
 
6.1%
6 593
 
5.7%
5 584
 
5.6%
4 488
 
4.7%
Other values (5) 571
 
5.5%
Latin
ValueCountFrequency (%)
P 1
50.0%
E 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10404
85.9%
Hangul 1702
 
14.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3167
30.4%
1 1325
12.7%
2 1007
 
9.7%
8 711
 
6.8%
- 678
 
6.5%
7 643
 
6.2%
3 635
 
6.1%
6 593
 
5.7%
5 584
 
5.6%
4 488
 
4.7%
Other values (7) 573
 
5.5%
Hangul
ValueCountFrequency (%)
크 127
 
7.5%
학 79
 
4.6%
국 71
 
4.2%
대 66
 
3.9%
남 64
 
3.8%
노 64
 
3.8%
충 64
 
3.8%
테 63
 
3.7%
기 63
 
3.7%
파 62
 
3.6%
Other values (123) 979
57.5%

내용연수(단위:년)
Text

MISSING 

Distinct95
Distinct (%)10.3%
Missing9081
Missing (%)90.8%
Memory size156.2 KiB
2024-01-10T06:05:32.900433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length4.9978237
Min length1

Characters and Unicode

Total characters4593
Distinct characters91
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

Unique40 ?
Unique (%)4.4%

Sample

1st row5
2nd row5
3rd row31056
4th row31035
5th row10
ValueCountFrequency (%)
10 157
17.1%
5 154
16.7%
31035 117
12.7%
312-82-06577 62
 
6.7%
0 45
 
4.9%
31116 36
 
3.9%
31056 26
 
2.8%
31538 21
 
2.3%
9 20
 
2.2%
106-82-12299 17
 
1.8%
Other values (85) 265
28.8%
2024-01-10T06:05:33.205052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1096
23.9%
0 562
12.2%
3 556
12.1%
5 438
 
9.5%
- 398
 
8.7%
2 342
 
7.4%
8 260
 
5.7%
6 206
 
4.5%
7 194
 
4.2%
9 104
 
2.3%
Other values (81) 437
 
9.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3831
83.4%
Dash Punctuation 398
 
8.7%
Other Letter 310
 
6.7%
Open Punctuation 25
 
0.5%
Close Punctuation 25
 
0.5%
Uppercase Letter 3
 
0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
크 20
 
6.5%
주 18
 
5.8%
구 13
 
4.2%
연 13
 
4.2%
테 11
 
3.5%
원 11
 
3.5%
산 10
 
3.2%
남 10
 
3.2%
국 10
 
3.2%
충 10
 
3.2%
Other values (64) 184
59.4%
Decimal Number
ValueCountFrequency (%)
1 1096
28.6%
0 562
14.7%
3 556
14.5%
5 438
 
11.4%
2 342
 
8.9%
8 260
 
6.8%
6 206
 
5.4%
7 194
 
5.1%
9 104
 
2.7%
4 73
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
N 1
33.3%
S 1
33.3%
K 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 398
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4280
93.2%
Hangul 310
 
6.7%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
크 20
 
6.5%
주 18
 
5.8%
구 13
 
4.2%
연 13
 
4.2%
테 11
 
3.5%
원 11
 
3.5%
산 10
 
3.2%
남 10
 
3.2%
국 10
 
3.2%
충 10
 
3.2%
Other values (64) 184
59.4%
Common
ValueCountFrequency (%)
1 1096
25.6%
0 562
13.1%
3 556
13.0%
5 438
 
10.2%
- 398
 
9.3%
2 342
 
8.0%
8 260
 
6.1%
6 206
 
4.8%
7 194
 
4.5%
9 104
 
2.4%
Other values (4) 124
 
2.9%
Latin
ValueCountFrequency (%)
N 1
33.3%
S 1
33.3%
K 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4283
93.3%
Hangul 310
 
6.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1096
25.6%
0 562
13.1%
3 556
13.0%
5 438
 
10.2%
- 398
 
9.3%
2 342
 
8.0%
8 260
 
6.1%
6 206
 
4.8%
7 194
 
4.5%
9 104
 
2.4%
Other values (7) 127
 
3.0%
Hangul
ValueCountFrequency (%)
크 20
 
6.5%
주 18
 
5.8%
구 13
 
4.2%
연 13
 
4.2%
테 11
 
3.5%
원 11
 
3.5%
산 10
 
3.2%
남 10
 
3.2%
국 10
 
3.2%
충 10
 
3.2%
Other values (64) 184
59.4%

장비활용범위
Text

MISSING 

Distinct85
Distinct (%)7.4%
Missing8845
Missing (%)88.4%
Memory size156.2 KiB
2024-01-10T06:05:33.432286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length41
Mean length13.609524
Min length4

Characters and Unicode

Total characters15719
Distinct characters204
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

Unique37 ?
Unique (%)3.2%

Sample

1st row공동활용
2nd row단독활용이지만공동활용
3rd row단독활용
4th row충청남도 천안시 서북구 입장면 양대기로길 89한국생산기술연구원
5th row충청남도 천안시 서북구 직산읍 직산로 136충남테크노파크
ValueCountFrequency (%)
공동활용 423
 
14.6%
충청남도 311
 
10.8%
천안시 231
 
8.0%
서북구 158
 
5.5%
단독활용이지만공동활용 131
 
4.5%
직산읍 122
 
4.2%
직산로 117
 
4.0%
136충남테크노파크 117
 
4.0%
단독활용 89
 
3.1%
동남구 73
 
2.5%
Other values (202) 1117
38.7%
2024-01-10T06:05:33.821947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1732
 
11.0%
용 804
 
5.1%
활 785
 
5.0%
동 705
 
4.5%
1 664
 
4.2%
공 607
 
3.9%
남 518
 
3.3%
3 445
 
2.8%
충 442
 
2.8%
산 423
 
2.7%
Other values (194) 8594
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11417
72.6%
Decimal Number 2237
 
14.2%
Space Separator 1734
 
11.0%
Open Punctuation 111
 
0.7%
Close Punctuation 111
 
0.7%
Dash Punctuation 99
 
0.6%
Uppercase Letter 8
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 804
 
7.0%
활 785
 
6.9%
동 705
 
6.2%
공 607
 
5.3%
남 518
 
4.5%
충 442
 
3.9%
산 423
 
3.7%
시 340
 
3.0%
단 338
 
3.0%
천 334
 
2.9%
Other values (173) 6121
53.6%
Decimal Number
ValueCountFrequency (%)
1 664
29.7%
3 445
19.9%
6 228
 
10.2%
0 218
 
9.7%
2 173
 
7.7%
5 155
 
6.9%
9 119
 
5.3%
8 96
 
4.3%
7 77
 
3.4%
4 62
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
L 3
37.5%
B 2
25.0%
M 2
25.0%
I 1
 
12.5%
Space Separator
ValueCountFrequency (%)
1732
99.9%
　 2
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
o 1
50.0%
t 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 111
100.0%
Close Punctuation
ValueCountFrequency (%)
) 111
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 99
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11417
72.6%
Common 4292
 
27.3%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 804
 
7.0%
활 785
 
6.9%
동 705
 
6.2%
공 607
 
5.3%
남 518
 
4.5%
충 442
 
3.9%
산 423
 
3.7%
시 340
 
3.0%
단 338
 
3.0%
천 334
 
2.9%
Other values (173) 6121
53.6%
Common
ValueCountFrequency (%)
1732
40.4%
1 664
 
15.5%
3 445
 
10.4%
6 228
 
5.3%
0 218
 
5.1%
2 173
 
4.0%
5 155
 
3.6%
9 119
 
2.8%
( 111
 
2.6%
) 111
 
2.6%
Other values (5) 336
 
7.8%
Latin
ValueCountFrequency (%)
L 3
30.0%
B 2
20.0%
M 2
20.0%
o 1
 
10.0%
t 1
 
10.0%
I 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11417
72.6%
ASCII 4300
 
27.4%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1732
40.3%
1 664
 
15.4%
3 445
 
10.3%
6 228
 
5.3%
0 218
 
5.1%
2 173
 
4.0%
5 155
 
3.6%
9 119
 
2.8%
( 111
 
2.6%
) 111
 
2.6%
Other values (10) 344
 
8.0%
Hangul
ValueCountFrequency (%)
용 804
 
7.0%
활 785
 
6.9%
동 705
 
6.2%
공 607
 
5.3%
남 518
 
4.5%
충 442
 
3.9%
산 423
 
3.7%
시 340
 
3.0%
단 338
 
3.0%
천 334
 
2.9%
Other values (173) 6121
53.6%
None
ValueCountFrequency (%)
　 2
100.0%

장비대표이미지
Text

MISSING 

Distinct461
Distinct (%)47.5%
Missing9029
Missing (%)90.3%
Memory size156.2 KiB
2024-01-10T06:05:34.085384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length42
Mean length12.963955
Min length2

Characters and Unicode

Total characters12588
Distinct characters221
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

Unique407 ?
Unique (%)41.9%

Sample

1st rowATF2020000524
2nd rowATF2020001001
3rd row충남
4th row충남
5th rowATF2020001063
ValueCountFrequency (%)
충남 311
 
15.7%
충청남도 180
 
9.1%
천안시 125
 
6.3%
서북구 86
 
4.3%
직산읍 65
 
3.3%
직산로 63
 
3.2%
136충남테크노파크 63
 
3.2%
동남구 39
 
2.0%
아산시 27
 
1.4%
천안캠퍼스 17
 
0.9%
Other values (579) 1010
50.9%
2024-01-10T06:05:34.479371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2050
 
16.3%
2 1031
 
8.2%
1015
 
8.1%
남 606
 
4.8%
충 559
 
4.4%
1 499
 
4.0%
F 414
 
3.3%
T 414
 
3.3%
A 414
 
3.3%
3 289
 
2.3%
Other values (211) 5297
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5229
41.5%
Decimal Number 4934
39.2%
Uppercase Letter 1250
 
9.9%
Space Separator 1015
 
8.1%
Close Punctuation 73
 
0.6%
Open Punctuation 73
 
0.6%
Dash Punctuation 10
 
0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 606
 
11.6%
충 559
 
10.7%
산 235
 
4.5%
시 200
 
3.8%
도 195
 
3.7%
청 182
 
3.5%
로 181
 
3.5%
구 176
 
3.4%
안 175
 
3.3%
천 166
 
3.2%
Other values (189) 2554
48.8%
Decimal Number
ValueCountFrequency (%)
0 2050
41.5%
2 1031
20.9%
1 499
 
10.1%
3 289
 
5.9%
6 223
 
4.5%
5 198
 
4.0%
4 194
 
3.9%
7 151
 
3.1%
8 150
 
3.0%
9 149
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
F 414
33.1%
T 414
33.1%
A 414
33.1%
L 4
 
0.3%
M 2
 
0.2%
B 2
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
o 2
50.0%
t 2
50.0%
Space Separator
ValueCountFrequency (%)
1015
100.0%
Close Punctuation
ValueCountFrequency (%)
) 73
100.0%
Open Punctuation
ValueCountFrequency (%)
( 73
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6105
48.5%
Hangul 5229
41.5%
Latin 1254
 
10.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 606
 
11.6%
충 559
 
10.7%
산 235
 
4.5%
시 200
 
3.8%
도 195
 
3.7%
청 182
 
3.5%
로 181
 
3.5%
구 176
 
3.4%
안 175
 
3.3%
천 166
 
3.2%
Other values (189) 2554
48.8%
Common
ValueCountFrequency (%)
0 2050
33.6%
2 1031
16.9%
1015
16.6%
1 499
 
8.2%
3 289
 
4.7%
6 223
 
3.7%
5 198
 
3.2%
4 194
 
3.2%
7 151
 
2.5%
8 150
 
2.5%
Other values (4) 305
 
5.0%
Latin
ValueCountFrequency (%)
F 414
33.0%
T 414
33.0%
A 414
33.0%
L 4
 
0.3%
M 2
 
0.2%
o 2
 
0.2%
t 2
 
0.2%
B 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7359
58.5%
Hangul 5229
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2050
27.9%
2 1031
14.0%
1015
13.8%
1 499
 
6.8%
F 414
 
5.6%
T 414
 
5.6%
A 414
 
5.6%
3 289
 
3.9%
6 223
 
3.0%
5 198
 
2.7%
Other values (12) 812
 
11.0%
Hangul
ValueCountFrequency (%)
남 606
 
11.6%
충 559
 
10.7%
산 235
 
4.5%
시 200
 
3.8%
도 195
 
3.7%
청 182
 
3.5%
로 181
 
3.5%
구 176
 
3.4%
안 175
 
3.3%
천 166
 
3.2%
Other values (189) 2554
48.8%

장비설명
Text

MISSING 

Distinct533
Distinct (%)42.1%
Missing8735
Missing (%)87.4%
Memory size156.2 KiB
2024-01-10T06:05:34.777582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length942
Median length571
Mean length59.947036
Min length1

Characters and Unicode

Total characters75833
Distinct characters788
Distinct categories15 ?
Distinct scripts5 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique454 ?
Unique (%)35.9%

Sample

1st row그래픽 연산 DATA의 다중연산 처리 그래픽 레이어의 렌더링처리 작업 \
2nd rowA. 원료탱크\
3rd row사용온도 : -40℃~25℃ Load cell : 500g
4th row본 장비는 LCD 패널 제조 공정 중 기판 및 각종 부품을 세정 할 수 있는 장치이다. \
5th row국?공립 연구기관
ValueCountFrequency (%)
419
 
2.5%
및 247
 
1.5%
충남 180
 
1.1%
수 161
 
1.0%
연구기관 154
 
0.9%
지자체출연 117
 
0.7%
4년제 108
 
0.7%
사립대학 95
 
0.6%
있는 83
 
0.5%
위한 79
 
0.5%
Other values (6553) 14842
90.0%
2024-01-10T06:05:35.460831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15452
 
20.4%
e 1481
 
2.0%
이 1039
 
1.4%
의 1010
 
1.3%
t 997
 
1.3%
a 953
 
1.3%
기 949
 
1.3%
i 935
 
1.2%
r 931
 
1.2%
o 929
 
1.2%
Other values (778) 51157
67.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40286
53.1%
Space Separator 15452
 
20.4%
Lowercase Letter 11755
 
15.5%
Uppercase Letter 3649
 
4.8%
Decimal Number 1934
 
2.6%
Other Punctuation 1526
 
2.0%
Dash Punctuation 381
 
0.5%
Close Punctuation 368
 
0.5%
Open Punctuation 332
 
0.4%
Math Symbol 75
 
0.1%
Other values (5) 75
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1039
 
2.6%
의 1010
 
2.5%
기 949
 
2.4%
하 909
 
2.3%
로 726
 
1.8%
에 710
 
1.8%
을 678
 
1.7%
는 674
 
1.7%
시 605
 
1.5%
한 538
 
1.3%
Other values (663) 32448
80.5%
Lowercase Letter
ValueCountFrequency (%)
e 1481
12.6%
t 997
 
8.5%
a 953
 
8.1%
i 935
 
8.0%
r 931
 
7.9%
o 929
 
7.9%
n 840
 
7.1%
s 642
 
5.5%
l 596
 
5.1%
m 495
 
4.2%
Other values (18) 2956
25.1%
Uppercase Letter
ValueCountFrequency (%)
S 354
 
9.7%
A 328
 
9.0%
C 275
 
7.5%
D 247
 
6.8%
P 241
 
6.6%
R 241
 
6.6%
M 231
 
6.3%
E 227
 
6.2%
T 178
 
4.9%
G 151
 
4.1%
Other values (16) 1176
32.2%
Other Punctuation
ValueCountFrequency (%)
. 685
44.9%
\ 397
26.0%
: 169
 
11.1%
/ 118
 
7.7%
? 53
 
3.5%
· 30
 
2.0%
* 21
 
1.4%
& 18
 
1.2%
% 18
 
1.2%
' 4
 
0.3%
Other values (5) 13
 
0.9%
Decimal Number
ValueCountFrequency (%)
0 446
23.1%
1 321
16.6%
2 274
14.2%
4 227
11.7%
3 176
 
9.1%
5 161
 
8.3%
8 114
 
5.9%
6 113
 
5.8%
7 53
 
2.7%
9 45
 
2.3%
Other values (3) 4
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 39
52.0%
+ 10
 
13.3%
< 6
 
8.0%
× 5
 
6.7%
± 5
 
6.7%
= 2
 
2.7%
∼ 2
 
2.7%
～ 2
 
2.7%
→ 2
 
2.7%
> 1
 
1.3%
Other Symbol
ValueCountFrequency (%)
℃ 23
40.4%
○ 8
 
14.0%
㎛ 8
 
14.0%
□ 6
 
10.5%
° 3
 
5.3%
㎠ 3
 
5.3%
㎏ 2
 
3.5%
㎜ 2
 
3.5%
● 1
 
1.8%
◆ 1
 
1.8%
Close Punctuation
ValueCountFrequency (%)
) 365
99.2%
） 2
 
0.5%
] 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 329
99.1%
（ 2
 
0.6%
[ 1
 
0.3%
Space Separator
ValueCountFrequency (%)
15452
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 381
100.0%
Control
ValueCountFrequency (%)
15
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
” 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40276
53.1%
Common 20143
26.6%
Latin 15402
 
20.3%
Han 10
 
< 0.1%
Greek 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1039
 
2.6%
의 1010
 
2.5%
기 949
 
2.4%
하 909
 
2.3%
로 726
 
1.8%
에 710
 
1.8%
을 678
 
1.7%
는 674
 
1.7%
시 605
 
1.5%
한 538
 
1.3%
Other values (662) 32438
80.5%
Common
ValueCountFrequency (%)
15452
76.7%
. 685
 
3.4%
0 446
 
2.2%
\ 397
 
2.0%
- 381
 
1.9%
) 365
 
1.8%
( 329
 
1.6%
1 321
 
1.6%
2 274
 
1.4%
4 227
 
1.1%
Other values (51) 1266
 
6.3%
Latin
ValueCountFrequency (%)
e 1481
 
9.6%
t 997
 
6.5%
a 953
 
6.2%
i 935
 
6.1%
r 931
 
6.0%
o 929
 
6.0%
n 840
 
5.5%
s 642
 
4.2%
l 596
 
3.9%
m 495
 
3.2%
Other values (42) 6603
42.9%
Greek
ValueCountFrequency (%)
θ 1
50.0%
μ 1
50.0%
Han
ValueCountFrequency (%)
熬 10
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40259
53.1%
ASCII 35427
46.7%
None 59
 
0.1%
Letterlike Symbols 23
 
< 0.1%
Compat Jamo 17
 
< 0.1%
Geometric Shapes 16
 
< 0.1%
CJK Compat 15
 
< 0.1%
CJK 10
 
< 0.1%
Math Operators 3
 
< 0.1%
Arrows 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15452
43.6%
e 1481
 
4.2%
t 997
 
2.8%
a 953
 
2.7%
i 935
 
2.6%
r 931
 
2.6%
o 929
 
2.6%
n 840
 
2.4%
. 685
 
1.9%
s 642
 
1.8%
Other values (77) 11582
32.7%
Hangul
ValueCountFrequency (%)
이 1039
 
2.6%
의 1010
 
2.5%
기 949
 
2.4%
하 909
 
2.3%
로 726
 
1.8%
에 710
 
1.8%
을 678
 
1.7%
는 674
 
1.7%
시 605
 
1.5%
한 538
 
1.3%
Other values (660) 32421
80.5%
None
ValueCountFrequency (%)
· 30
50.8%
× 5
 
8.5%
± 5
 
8.5%
° 3
 
5.1%
？ 3
 
5.1%
～ 2
 
3.4%
） 2
 
3.4%
（ 2
 
3.4%
０ 2
 
3.4%
θ 1
 
1.7%
Other values (4) 4
 
6.8%
Letterlike Symbols
ValueCountFrequency (%)
℃ 23
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 11
64.7%
ㆍ 6
35.3%
CJK
ValueCountFrequency (%)
熬 10
100.0%
Geometric Shapes
ValueCountFrequency (%)
○ 8
50.0%
□ 6
37.5%
● 1
 
6.2%
◆ 1
 
6.2%
CJK Compat
ValueCountFrequency (%)
㎛ 8
53.3%
㎠ 3
 
20.0%
㎏ 2
 
13.3%
㎜ 2
 
13.3%
Math Operators
ValueCountFrequency (%)
∼ 2
66.7%
∥ 1
33.3%
Arrows
ValueCountFrequency (%)
→ 2
100.0%
Punctuation
ValueCountFrequency (%)
“ 1
50.0%
” 1
50.0%

장비구성
Text

MISSING 

Distinct313
Distinct (%)35.6%
Missing9122
Missing (%)91.2%
Memory size156.2 KiB
2024-01-10T06:05:35.745077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length686
Mean length32.666287
Min length2

Characters and Unicode

Total characters28681
Distinct characters624
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique248 ?
Unique (%)28.2%

Sample

1st row고분자 도료
2nd row한국생산기술연구원
3rd row스마트ICT융합센터
4th row단국대학교 산학협력단
5th row자동차센터
ValueCountFrequency (%)
538
 
9.4%
연구기관 87
 
1.5%
스마트ict융합센터 71
 
1.2%
지자체출연 64
 
1.1%
1 60
 
1.0%
4년제 57
 
1.0%
및 54
 
0.9%
산학협력단 50
 
0.9%
사립대학 44
 
0.8%
민간기업 43
 
0.7%
Other values (2502) 4672
81.4%
2024-01-10T06:05:36.188145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4930
 
17.2%
e 798
 
2.8%
0 576
 
2.0%
t 562
 
2.0%
i 559
 
1.9%
a 537
 
1.9%
o 517
 
1.8%
r 492
 
1.7%
n 491
 
1.7%
m 409
 
1.4%
Other values (614) 18810
65.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9953
34.7%
Lowercase Letter 6756
23.6%
Space Separator 4931
17.2%
Uppercase Letter 3028
 
10.6%
Decimal Number 2002
 
7.0%
Other Punctuation 1034
 
3.6%
Close Punctuation 286
 
1.0%
Dash Punctuation 233
 
0.8%
Open Punctuation 219
 
0.8%
Math Symbol 102
 
0.4%
Other values (4) 137
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 311
 
3.1%
연 236
 
2.4%
학 227
 
2.3%
구 222
 
2.2%
대 203
 
2.0%
이 183
 
1.8%
스 169
 
1.7%
터 158
 
1.6%
국 156
 
1.6%
자 146
 
1.5%
Other values (490) 7942
79.8%
Uppercase Letter
ValueCountFrequency (%)
S 266
 
8.8%
C 263
 
8.7%
T 243
 
8.0%
I 224
 
7.4%
A 204
 
6.7%
E 203
 
6.7%
D 182
 
6.0%
L 167
 
5.5%
P 158
 
5.2%
R 148
 
4.9%
Other values (21) 970
32.0%
Lowercase Letter
ValueCountFrequency (%)
e 798
11.8%
t 562
 
8.3%
i 559
 
8.3%
a 537
 
7.9%
o 517
 
7.7%
r 492
 
7.3%
n 491
 
7.3%
m 409
 
6.1%
l 359
 
5.3%
s 334
 
4.9%
Other values (17) 1698
25.1%
Other Punctuation
ValueCountFrequency (%)
: 310
30.0%
. 267
25.8%
\ 210
20.3%
/ 114
 
11.0%
? 43
 
4.2%
* 22
 
2.1%
· 21
 
2.0%
& 14
 
1.4%
" 9
 
0.9%
% 8
 
0.8%
Other values (4) 16
 
1.5%
Other Symbol
ValueCountFrequency (%)
℃ 25
33.3%
㎜ 11
14.7%
㎾ 10
 
13.3%
㎤ 8
 
10.7%
㎛ 7
 
9.3%
㎏ 3
 
4.0%
○ 2
 
2.7%
◈ 2
 
2.7%
㎠ 2
 
2.7%
° 2
 
2.7%
Other values (3) 3
 
4.0%
Math Symbol
ValueCountFrequency (%)
~ 35
34.3%
× 19
18.6%
+ 14
 
13.7%
= 11
 
10.8%
▷ 7
 
6.9%
→ 6
 
5.9%
～ 4
 
3.9%
± 3
 
2.9%
∼ 1
 
1.0%
≤ 1
 
1.0%
Decimal Number
ValueCountFrequency (%)
0 576
28.8%
1 322
16.1%
2 247
12.3%
5 193
 
9.6%
4 175
 
8.7%
3 171
 
8.5%
6 138
 
6.9%
7 68
 
3.4%
8 67
 
3.3%
9 45
 
2.2%
Other Number
ValueCountFrequency (%)
① 10
23.8%
② 9
21.4%
③ 8
19.0%
④ 6
14.3%
⑤ 4
 
9.5%
² 2
 
4.8%
₂ 1
 
2.4%
₁ 1
 
2.4%
⑥ 1
 
2.4%
Space Separator
ValueCountFrequency (%)
4930
> 99.9%
　 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 284
99.3%
] 2
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 217
99.1%
[ 2
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 233
100.0%
Control
ValueCountFrequency (%)
18
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9953
34.7%
Latin 9783
34.1%
Common 8944
31.2%
Greek 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 311
 
3.1%
연 236
 
2.4%
학 227
 
2.3%
구 222
 
2.2%
대 203
 
2.0%
이 183
 
1.8%
스 169
 
1.7%
터 158
 
1.6%
국 156
 
1.6%
자 146
 
1.5%
Other values (490) 7942
79.8%
Common
ValueCountFrequency (%)
4930
55.1%
0 576
 
6.4%
1 322
 
3.6%
: 310
 
3.5%
) 284
 
3.2%
. 267
 
3.0%
2 247
 
2.8%
- 233
 
2.6%
( 217
 
2.4%
\ 210
 
2.3%
Other values (56) 1348
 
15.1%
Latin
ValueCountFrequency (%)
e 798
 
8.2%
t 562
 
5.7%
i 559
 
5.7%
a 537
 
5.5%
o 517
 
5.3%
r 492
 
5.0%
n 491
 
5.0%
m 409
 
4.2%
l 359
 
3.7%
s 334
 
3.4%
Other values (47) 4725
48.3%
Greek
ValueCountFrequency (%)
σ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18529
64.6%
Hangul 9952
34.7%
None 67
 
0.2%
CJK Compat 42
 
0.1%
Enclosed Alphanum 38
 
0.1%
Letterlike Symbols 26
 
0.1%
Geometric Shapes 13
 
< 0.1%
Arrows 6
 
< 0.1%
Punctuation 5
 
< 0.1%
Math Operators 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4930
26.6%
e 798
 
4.3%
0 576
 
3.1%
t 562
 
3.0%
i 559
 
3.0%
a 537
 
2.9%
o 517
 
2.8%
r 492
 
2.7%
n 491
 
2.6%
m 409
 
2.2%
Other values (74) 8658
46.7%
Hangul
ValueCountFrequency (%)
기 311
 
3.1%
연 236
 
2.4%
학 227
 
2.3%
구 222
 
2.2%
대 203
 
2.0%
이 183
 
1.8%
스 169
 
1.7%
터 158
 
1.6%
국 156
 
1.6%
자 146
 
1.5%
Other values (489) 7941
79.8%
Letterlike Symbols
ValueCountFrequency (%)
℃ 25
96.2%
Å 1
 
3.8%
None
ValueCountFrequency (%)
· 21
31.3%
× 19
28.4%
？ 6
 
9.0%
～ 4
 
6.0%
± 3
 
4.5%
Ø 3
 
4.5%
° 2
 
3.0%
² 2
 
3.0%
σ 1
 
1.5%
　 1
 
1.5%
Other values (5) 5
 
7.5%
CJK Compat
ValueCountFrequency (%)
㎜ 11
26.2%
㎾ 10
23.8%
㎤ 8
19.0%
㎛ 7
16.7%
㎏ 3
 
7.1%
㎠ 2
 
4.8%
㎡ 1
 
2.4%
Enclosed Alphanum
ValueCountFrequency (%)
① 10
26.3%
② 9
23.7%
③ 8
21.1%
④ 6
15.8%
⑤ 4
 
10.5%
⑥ 1
 
2.6%
Geometric Shapes
ValueCountFrequency (%)
▷ 7
53.8%
○ 2
 
15.4%
◈ 2
 
15.4%
▶ 1
 
7.7%
▲ 1
 
7.7%
Arrows
ValueCountFrequency (%)
→ 6
100.0%
Punctuation
ValueCountFrequency (%)
※ 3
60.0%
“ 2
40.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
Math Operators
ValueCountFrequency (%)
∼ 1
50.0%
≤ 1
50.0%

장비활용 예시
Text

MISSING 

Distinct206
Distinct (%)29.9%
Missing9312
Missing (%)93.1%
Memory size156.2 KiB
2024-01-10T06:05:36.448894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length254
Median length240
Mean length18.082849
Min length2

Characters and Unicode

Total characters12441
Distinct characters496
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique135 ?
Unique (%)19.6%

Sample

1st row고분자 재료의 휨특성 시험
2nd row119-82-01008
3rd row100-00-00005
4th row106-82-12299
5th row312-82-13307
ValueCountFrequency (%)
100-00-00005 72
 
3.6%
및 41
 
2.0%
39
 
1.9%
106-82-12299 36
 
1.8%
바이오센터 35
 
1.7%
119-82-01008 26
 
1.3%
312-82-04676 26
 
1.3%
100-00-00001 22
 
1.1%
산학협력단 21
 
1.0%
312-82-00587 20
 
1.0%
Other values (1072) 1690
83.3%
2024-01-10T06:05:36.855707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1835
 
14.7%
0 1066
 
8.6%
1 898
 
7.2%
- 689
 
5.5%
2 412
 
3.3%
8 279
 
2.2%
3 213
 
1.7%
5 152
 
1.2%
6 133
 
1.1%
기 126
 
1.0%
Other values (486) 6638
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5503
44.2%
Decimal Number 3442
27.7%
Space Separator 1835
 
14.7%
Dash Punctuation 689
 
5.5%
Lowercase Letter 528
 
4.2%
Uppercase Letter 205
 
1.6%
Other Punctuation 109
 
0.9%
Close Punctuation 61
 
0.5%
Open Punctuation 60
 
0.5%
Other Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 126
 
2.3%
이 119
 
2.2%
의 105
 
1.9%
학 100
 
1.8%
한 98
 
1.8%
하 88
 
1.6%
시 82
 
1.5%
대 81
 
1.5%
국 77
 
1.4%
터 76
 
1.4%
Other values (412) 4551
82.7%
Lowercase Letter
ValueCountFrequency (%)
e 54
10.2%
i 52
9.8%
t 46
 
8.7%
s 42
 
8.0%
a 41
 
7.8%
n 40
 
7.6%
o 37
 
7.0%
r 35
 
6.6%
l 32
 
6.1%
c 25
 
4.7%
Other values (14) 124
23.5%
Uppercase Letter
ValueCountFrequency (%)
T 28
13.7%
C 28
13.7%
I 21
10.2%
P 18
8.8%
D 17
8.3%
S 15
 
7.3%
L 15
 
7.3%
B 8
 
3.9%
E 8
 
3.9%
G 7
 
3.4%
Other values (14) 40
19.5%
Decimal Number
ValueCountFrequency (%)
0 1066
31.0%
1 898
26.1%
2 412
 
12.0%
8 279
 
8.1%
3 213
 
6.2%
5 152
 
4.4%
6 133
 
3.9%
7 119
 
3.5%
9 111
 
3.2%
4 59
 
1.7%
Other Punctuation
ValueCountFrequency (%)
\ 37
33.9%
. 34
31.2%
/ 13
 
11.9%
? 12
 
11.0%
: 9
 
8.3%
· 3
 
2.8%
& 1
 
0.9%
Other Symbol
ValueCountFrequency (%)
㎛ 2
40.0%
℃ 1
20.0%
° 1
20.0%
○ 1
20.0%
Space Separator
ValueCountFrequency (%)
1835
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 689
100.0%
Close Punctuation
ValueCountFrequency (%)
) 61
100.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%
Control
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6205
49.9%
Hangul 5501
44.2%
Latin 733
 
5.9%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 126
 
2.3%
이 119
 
2.2%
의 105
 
1.9%
학 100
 
1.8%
한 98
 
1.8%
하 88
 
1.6%
시 82
 
1.5%
대 81
 
1.5%
국 77
 
1.4%
터 76
 
1.4%
Other values (411) 4549
82.7%
Latin
ValueCountFrequency (%)
e 54
 
7.4%
i 52
 
7.1%
t 46
 
6.3%
s 42
 
5.7%
a 41
 
5.6%
n 40
 
5.5%
o 37
 
5.0%
r 35
 
4.8%
l 32
 
4.4%
T 28
 
3.8%
Other values (38) 326
44.5%
Common
ValueCountFrequency (%)
1835
29.6%
0 1066
17.2%
1 898
14.5%
- 689
 
11.1%
2 412
 
6.6%
8 279
 
4.5%
3 213
 
3.4%
5 152
 
2.4%
6 133
 
2.1%
7 119
 
1.9%
Other values (16) 409
 
6.6%
Han
ValueCountFrequency (%)
熬 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6930
55.7%
Hangul 5501
44.2%
None 4
 
< 0.1%
CJK 2
 
< 0.1%
CJK Compat 2
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%
Geometric Shapes 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1835
26.5%
0 1066
15.4%
1 898
13.0%
- 689
 
9.9%
2 412
 
5.9%
8 279
 
4.0%
3 213
 
3.1%
5 152
 
2.2%
6 133
 
1.9%
7 119
 
1.7%
Other values (59) 1134
16.4%
Hangul
ValueCountFrequency (%)
기 126
 
2.3%
이 119
 
2.2%
의 105
 
1.9%
학 100
 
1.8%
한 98
 
1.8%
하 88
 
1.6%
시 82
 
1.5%
대 81
 
1.5%
국 77
 
1.4%
터 76
 
1.4%
Other values (411) 4549
82.7%
None
ValueCountFrequency (%)
· 3
75.0%
° 1
 
25.0%
CJK
ValueCountFrequency (%)
熬 2
100.0%
CJK Compat
ValueCountFrequency (%)
㎛ 2
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%
Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

기관의뢰
Text

MISSING 

Distinct116
Distinct (%)18.0%
Missing9354
Missing (%)93.5%
Memory size156.2 KiB
2024-01-10T06:05:37.025586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length5
Mean length6.9829721
Min length1

Characters and Unicode

Total characters4511
Distinct characters96
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

Unique51 ?
Unique (%)7.9%

Sample

1st row31056
2nd row32422
3rd row31116
4th row32422
5th row316-82-00707
ValueCountFrequency (%)
32422 117
18.1%
y 40
 
6.2%
31116 36
 
5.6%
100-00-00001 35
 
5.4%
31214 30
 
4.6%
31056 27
 
4.2%
n 24
 
3.7%
106-82-12299 17
 
2.6%
100-00-00005 17
 
2.6%
31499 14
 
2.2%
Other values (106) 289
44.7%
2024-01-10T06:05:37.418205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 969
21.5%
0 671
14.9%
2 644
14.3%
3 496
11.0%
- 398
8.8%
4 238
 
5.3%
8 200
 
4.4%
6 144
 
3.2%
5 136
 
3.0%
9 111
 
2.5%
Other values (86) 504
11.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3685
81.7%
Dash Punctuation 398
 
8.8%
Other Letter 297
 
6.6%
Uppercase Letter 81
 
1.8%
Close Punctuation 25
 
0.6%
Open Punctuation 25
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 18
 
6.1%
구 13
 
4.4%
연 13
 
4.4%
이 11
 
3.7%
원 11
 
3.7%
스 11
 
3.7%
국 10
 
3.4%
센 9
 
3.0%
터 9
 
3.0%
바 9
 
3.0%
Other values (66) 183
61.6%
Decimal Number
ValueCountFrequency (%)
1 969
26.3%
0 671
18.2%
2 644
17.5%
3 496
13.5%
4 238
 
6.5%
8 200
 
5.4%
6 144
 
3.9%
5 136
 
3.7%
9 111
 
3.0%
7 76
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
Y 40
49.4%
N 24
29.6%
I 5
 
6.2%
C 5
 
6.2%
T 5
 
6.2%
S 1
 
1.2%
K 1
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 398
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4133
91.6%
Hangul 297
 
6.6%
Latin 81
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 18
 
6.1%
구 13
 
4.4%
연 13
 
4.4%
이 11
 
3.7%
원 11
 
3.7%
스 11
 
3.7%
국 10
 
3.4%
센 9
 
3.0%
터 9
 
3.0%
바 9
 
3.0%
Other values (66) 183
61.6%
Common
ValueCountFrequency (%)
1 969
23.4%
0 671
16.2%
2 644
15.6%
3 496
12.0%
- 398
9.6%
4 238
 
5.8%
8 200
 
4.8%
6 144
 
3.5%
5 136
 
3.3%
9 111
 
2.7%
Other values (3) 126
 
3.0%
Latin
ValueCountFrequency (%)
Y 40
49.4%
N 24
29.6%
I 5
 
6.2%
C 5
 
6.2%
T 5
 
6.2%
S 1
 
1.2%
K 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4214
93.4%
Hangul 297
 
6.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 969
23.0%
0 671
15.9%
2 644
15.3%
3 496
11.8%
- 398
9.4%
4 238
 
5.6%
8 200
 
4.7%
6 144
 
3.4%
5 136
 
3.2%
9 111
 
2.6%
Other values (10) 207
 
4.9%
Hangul
ValueCountFrequency (%)
주 18
 
6.1%
구 13
 
4.4%
연 13
 
4.4%
이 11
 
3.7%
원 11
 
3.7%
스 11
 
3.7%
국 10
 
3.4%
센 9
 
3.0%
터 9
 
3.0%
바 9
 
3.0%
Other values (66) 183
61.6%

직접사용
Text

MISSING 

Distinct116
Distinct (%)18.3%
Missing9365
Missing (%)93.7%
Memory size156.2 KiB
2024-01-10T06:05:37.646603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length37
Mean length18.351181
Min length1

Characters and Unicode

Total characters11653
Distinct characters176
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

Unique55 ?
Unique (%)8.7%

Sample

1st row충청남도 천안시 서북구 입장면 양대기로길 89한국생산기술연구원
2nd row충청남도 예산군 예산읍 신례원리 433 충남테크노파크
3rd row충청남도 천안시 동남구 단대로 119 (안서동)산29-1번지
4th row충청남도 예산군 예산읍 신례원리 433 충남테크노파크
5th row31962
ValueCountFrequency (%)
충청남도 339
 
15.2%
천안시 134
 
6.0%
예산읍 117
 
5.2%
예산군 117
 
5.2%
신례원리 85
 
3.8%
433 85
 
3.8%
충남테크노파크 85
 
3.8%
동남구 81
 
3.6%
32422 60
 
2.7%
서북구 53
 
2.4%
Other values (202) 1079
48.3%
2024-01-10T06:05:38.019137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1600
 
13.7%
1 657
 
5.6%
3 525
 
4.5%
남 505
 
4.3%
충 429
 
3.7%
산 419
 
3.6%
2 406
 
3.5%
청 339
 
2.9%
도 339
 
2.9%
0 307
 
2.6%
Other values (166) 6127
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6858
58.9%
Decimal Number 2807
24.1%
Space Separator 1613
 
13.8%
Dash Punctuation 164
 
1.4%
Close Punctuation 76
 
0.7%
Open Punctuation 76
 
0.7%
Uppercase Letter 58
 
0.5%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 505
 
7.4%
충 429
 
6.3%
산 419
 
6.1%
청 339
 
4.9%
도 339
 
4.9%
예 234
 
3.4%
시 213
 
3.1%
동 211
 
3.1%
구 200
 
2.9%
로 194
 
2.8%
Other values (144) 3775
55.0%
Decimal Number
ValueCountFrequency (%)
1 657
23.4%
3 525
18.7%
2 406
14.5%
0 307
10.9%
4 282
10.0%
9 166
 
5.9%
5 152
 
5.4%
6 144
 
5.1%
8 96
 
3.4%
7 72
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
Y 31
53.4%
N 22
37.9%
D 2
 
3.4%
R 1
 
1.7%
S 1
 
1.7%
I 1
 
1.7%
Space Separator
ValueCountFrequency (%)
1600
99.2%
　 13
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 164
100.0%
Close Punctuation
ValueCountFrequency (%)
) 76
100.0%
Open Punctuation
ValueCountFrequency (%)
( 76
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6858
58.9%
Common 4737
40.7%
Latin 58
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 505
 
7.4%
충 429
 
6.3%
산 419
 
6.1%
청 339
 
4.9%
도 339
 
4.9%
예 234
 
3.4%
시 213
 
3.1%
동 211
 
3.1%
구 200
 
2.9%
로 194
 
2.8%
Other values (144) 3775
55.0%
Common
ValueCountFrequency (%)
1600
33.8%
1 657
13.9%
3 525
 
11.1%
2 406
 
8.6%
0 307
 
6.5%
4 282
 
6.0%
9 166
 
3.5%
- 164
 
3.5%
5 152
 
3.2%
6 144
 
3.0%
Other values (6) 334
 
7.1%
Latin
ValueCountFrequency (%)
Y 31
53.4%
N 22
37.9%
D 2
 
3.4%
R 1
 
1.7%
S 1
 
1.7%
I 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6858
58.9%
ASCII 4782
41.0%
None 13
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1600
33.5%
1 657
13.7%
3 525
 
11.0%
2 406
 
8.5%
0 307
 
6.4%
4 282
 
5.9%
9 166
 
3.5%
- 164
 
3.4%
5 152
 
3.2%
6 144
 
3.0%
Other values (11) 379
 
7.9%
Hangul
ValueCountFrequency (%)
남 505
 
7.4%
충 429
 
6.3%
산 419
 
6.1%
청 339
 
4.9%
도 339
 
4.9%
예 234
 
3.4%
시 213
 
3.1%
동 211
 
3.1%
구 200
 
2.9%
로 194
 
2.8%
Other values (144) 3775
55.0%
None
ValueCountFrequency (%)
　 13
100.0%

임대가능
Text

MISSING 

Distinct72
Distinct (%)11.8%
Missing9388
Missing (%)93.9%
Memory size156.2 KiB
2024-01-10T06:05:38.236142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length2
Mean length10.704248
Min length1

Characters and Unicode

Total characters6551
Distinct characters173
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)5.7%

Sample

1st row충남
2nd row충남
3rd row충남
4th row충남
5th row충청남도 서산시 해미면 한서1로 46한서대학교
ValueCountFrequency (%)
충남 339
22.2%
충청남도 199
 
13.0%
천안시 81
 
5.3%
예산군 62
 
4.1%
예산읍 60
 
3.9%
동남구 44
 
2.9%
수철길 41
 
2.7%
10 41
 
2.7%
서북구 37
 
2.4%
n 30
 
2.0%
Other values (171) 593
38.8%
2024-01-10T06:05:38.564922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
915
 
14.0%
남 602
 
9.2%
충 560
 
8.5%
산 233
 
3.6%
1 232
 
3.5%
청 200
 
3.1%
도 200
 
3.1%
3 147
 
2.2%
시 137
 
2.1%
0 129
 
2.0%
Other values (163) 3196
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4432
67.7%
Decimal Number 1024
 
15.6%
Space Separator 920
 
14.0%
Dash Punctuation 49
 
0.7%
Open Punctuation 46
 
0.7%
Close Punctuation 46
 
0.7%
Uppercase Letter 34
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 602
 
13.6%
충 560
 
12.6%
산 233
 
5.3%
청 200
 
4.5%
도 200
 
4.5%
시 137
 
3.1%
예 123
 
2.8%
동 120
 
2.7%
로 116
 
2.6%
구 109
 
2.5%
Other values (143) 2032
45.8%
Decimal Number
ValueCountFrequency (%)
1 232
22.7%
3 147
14.4%
0 129
12.6%
2 128
12.5%
4 101
9.9%
9 82
 
8.0%
5 73
 
7.1%
6 67
 
6.5%
7 33
 
3.2%
8 32
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
N 30
88.2%
C 1
 
2.9%
G 1
 
2.9%
T 1
 
2.9%
B 1
 
2.9%
Space Separator
ValueCountFrequency (%)
915
99.5%
　 5
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4432
67.7%
Common 2085
31.8%
Latin 34
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 602
 
13.6%
충 560
 
12.6%
산 233
 
5.3%
청 200
 
4.5%
도 200
 
4.5%
시 137
 
3.1%
예 123
 
2.8%
동 120
 
2.7%
로 116
 
2.6%
구 109
 
2.5%
Other values (143) 2032
45.8%
Common
ValueCountFrequency (%)
915
43.9%
1 232
 
11.1%
3 147
 
7.1%
0 129
 
6.2%
2 128
 
6.1%
4 101
 
4.8%
9 82
 
3.9%
5 73
 
3.5%
6 67
 
3.2%
- 49
 
2.4%
Other values (5) 162
 
7.8%
Latin
ValueCountFrequency (%)
N 30
88.2%
C 1
 
2.9%
G 1
 
2.9%
T 1
 
2.9%
B 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4432
67.7%
ASCII 2114
32.3%
None 5
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
915
43.3%
1 232
 
11.0%
3 147
 
7.0%
0 129
 
6.1%
2 128
 
6.1%
4 101
 
4.8%
9 82
 
3.9%
5 73
 
3.5%
6 67
 
3.2%
- 49
 
2.3%
Other values (9) 191
 
9.0%
Hangul
ValueCountFrequency (%)
남 602
 
13.6%
충 560
 
12.6%
산 233
 
5.3%
청 200
 
4.5%
도 200
 
4.5%
시 137
 
3.1%
예 123
 
2.8%
동 120
 
2.7%
로 116
 
2.6%
구 109
 
2.5%
Other values (143) 2032
45.8%
None
ValueCountFrequency (%)
　 5
100.0%

설치형태
Text

MISSING 

Distinct56
Distinct (%)13.1%
Missing9573
Missing (%)95.7%
Memory size156.2 KiB
2024-01-10T06:05:38.795990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length36
Mean length5.6229508
Min length2

Characters and Unicode

Total characters2401
Distinct characters171
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

Unique35 ?
Unique (%)8.2%

Sample

1st row고정형
2nd row충남
3rd row시험실
4th row충남
5th row충남
ValueCountFrequency (%)
충남 199
31.4%
고정형 128
20.2%
충청남도 44
 
7.0%
천안시 17
 
2.7%
이동형 13
 
2.1%
아산시 9
 
1.4%
서북구 9
 
1.4%
예산군 9
 
1.4%
예산읍 9
 
1.4%
동남구 8
 
1.3%
Other values (96) 188
29.7%
2024-01-10T06:05:39.231474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
남 256
 
10.7%
충 248
 
10.3%
206
 
8.6%
형 142
 
5.9%
정 130
 
5.4%
고 129
 
5.4%
실 48
 
2.0%
산 45
 
1.9%
동 45
 
1.9%
청 44
 
1.8%
Other values (161) 1108
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1909
79.5%
Decimal Number 230
 
9.6%
Space Separator 207
 
8.6%
Dash Punctuation 16
 
0.7%
Lowercase Letter 14
 
0.6%
Open Punctuation 8
 
0.3%
Close Punctuation 8
 
0.3%
Uppercase Letter 7
 
0.3%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 256
 
13.4%
충 248
 
13.0%
형 142
 
7.4%
정 130
 
6.8%
고 129
 
6.8%
실 48
 
2.5%
산 45
 
2.4%
동 45
 
2.4%
청 44
 
2.3%
도 44
 
2.3%
Other values (131) 778
40.8%
Decimal Number
ValueCountFrequency (%)
1 41
17.8%
3 30
13.0%
5 28
12.2%
0 27
11.7%
4 24
10.4%
2 23
10.0%
6 19
8.3%
7 15
 
6.5%
9 14
 
6.1%
8 9
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
x 3
21.4%
r 3
21.4%
d 3
21.4%
t 1
 
7.1%
i 1
 
7.1%
b 1
 
7.1%
m 1
 
7.1%
s 1
 
7.1%
Uppercase Letter
ValueCountFrequency (%)
M 2
28.6%
S 2
28.6%
B 1
14.3%
K 1
14.3%
C 1
14.3%
Space Separator
ValueCountFrequency (%)
206
99.5%
　 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
/ 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1909
79.5%
Common 471
 
19.6%
Latin 21
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 256
 
13.4%
충 248
 
13.0%
형 142
 
7.4%
정 130
 
6.8%
고 129
 
6.8%
실 48
 
2.5%
산 45
 
2.4%
동 45
 
2.4%
청 44
 
2.3%
도 44
 
2.3%
Other values (131) 778
40.8%
Common
ValueCountFrequency (%)
206
43.7%
1 41
 
8.7%
3 30
 
6.4%
5 28
 
5.9%
0 27
 
5.7%
4 24
 
5.1%
2 23
 
4.9%
6 19
 
4.0%
- 16
 
3.4%
7 15
 
3.2%
Other values (7) 42
 
8.9%
Latin
ValueCountFrequency (%)
x 3
14.3%
r 3
14.3%
d 3
14.3%
M 2
9.5%
S 2
9.5%
t 1
 
4.8%
B 1
 
4.8%
K 1
 
4.8%
i 1
 
4.8%
b 1
 
4.8%
Other values (3) 3
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1909
79.5%
ASCII 491
 
20.4%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
남 256
 
13.4%
충 248
 
13.0%
형 142
 
7.4%
정 130
 
6.8%
고 129
 
6.8%
실 48
 
2.5%
산 45
 
2.4%
동 45
 
2.4%
청 44
 
2.3%
도 44
 
2.3%
Other values (131) 778
40.8%
ASCII
ValueCountFrequency (%)
206
42.0%
1 41
 
8.4%
3 30
 
6.1%
5 28
 
5.7%
0 27
 
5.5%
4 24
 
4.9%
2 23
 
4.7%
6 19
 
3.9%
- 16
 
3.3%
7 15
 
3.1%
Other values (19) 62
 
12.6%
None
ValueCountFrequency (%)
　 1
100.0%

예약가능 여부
Categorical

IMBALANCE 

Distinct38
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9449 
N
 
161
1
 
125
3
 
68
2
 
61
Other values (33)
 
136

Length

Max length12
Median length4
Mean length3.8643
Min length1

Unique

Unique20 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9449
94.5%
N 161
 
1.6%
1 125
 
1.2%
3 68
 
0.7%
2 61
 
0.6%
충남 44
 
0.4%
4 15
 
0.1%
B1 14
 
0.1%
5 12
 
0.1%
Y 7
 
0.1%
Other values (28) 44
 
0.4%

Length

2024-01-10T06:05:39.368581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9449
94.5%
n 161
 
1.6%
1 125
 
1.2%
3 68
 
0.7%
2 61
 
0.6%
충남 44
 
0.4%
4 15
 
0.1%
b1 14
 
0.1%
5 12
 
0.1%
y 7
 
0.1%
Other values (28) 44
 
0.4%

판매사명
Text

MISSING 

Distinct140
Distinct (%)32.8%
Missing9573
Missing (%)95.7%
Memory size156.2 KiB
2024-01-10T06:05:39.671530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length12
Mean length2.8922717
Min length1

Characters and Unicode

Total characters1235
Distinct characters158
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

Unique92 ?
Unique (%)21.5%

Sample

1st row434
2nd row103
3rd row517
4th row107
5th row13
ValueCountFrequency (%)
1 62
 
14.3%
303 46
 
10.6%
2 43
 
9.9%
3 20
 
4.6%
103 13
 
3.0%
4 10
 
2.3%
201 8
 
1.8%
205 8
 
1.8%
105 8
 
1.8%
110 8
 
1.8%
Other values (136) 208
47.9%
2024-01-10T06:05:40.070451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 232
18.8%
0 167
13.5%
3 167
13.5%
2 129
 
10.4%
5 36
 
2.9%
4 35
 
2.8%
스 22
 
1.8%
6 18
 
1.5%
7 17
 
1.4%
- 17
 
1.4%
Other values (148) 395
32.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 824
66.7%
Other Letter 278
 
22.5%
Uppercase Letter 58
 
4.7%
Lowercase Letter 32
 
2.6%
Dash Punctuation 17
 
1.4%
Space Separator 8
 
0.6%
Open Punctuation 6
 
0.5%
Close Punctuation 6
 
0.5%
Other Symbol 5
 
0.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 22
 
7.9%
이 15
 
5.4%
아 10
 
3.6%
텍 8
 
2.9%
리 8
 
2.9%
시 8
 
2.9%
코 7
 
2.5%
주 6
 
2.2%
템 6
 
2.2%
크 6
 
2.2%
Other values (104) 182
65.5%
Uppercase Letter
ValueCountFrequency (%)
B 13
22.4%
M 7
12.1%
C 5
 
8.6%
S 5
 
8.6%
L 4
 
6.9%
E 4
 
6.9%
A 4
 
6.9%
O 3
 
5.2%
F 3
 
5.2%
N 2
 
3.4%
Other values (5) 8
13.8%
Lowercase Letter
ValueCountFrequency (%)
r 6
18.8%
t 5
15.6%
n 5
15.6%
a 3
9.4%
e 2
 
6.2%
s 2
 
6.2%
o 2
 
6.2%
p 2
 
6.2%
d 1
 
3.1%
l 1
 
3.1%
Other values (3) 3
9.4%
Decimal Number
ValueCountFrequency (%)
1 232
28.2%
0 167
20.3%
3 167
20.3%
2 129
15.7%
5 36
 
4.4%
4 35
 
4.2%
6 18
 
2.2%
7 17
 
2.1%
8 14
 
1.7%
9 9
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 862
69.8%
Hangul 283
 
22.9%
Latin 90
 
7.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 22
 
7.8%
이 15
 
5.3%
아 10
 
3.5%
텍 8
 
2.8%
리 8
 
2.8%
시 8
 
2.8%
코 7
 
2.5%
주 6
 
2.1%
템 6
 
2.1%
크 6
 
2.1%
Other values (105) 187
66.1%
Latin
ValueCountFrequency (%)
B 13
14.4%
M 7
 
7.8%
r 6
 
6.7%
t 5
 
5.6%
C 5
 
5.6%
n 5
 
5.6%
S 5
 
5.6%
L 4
 
4.4%
E 4
 
4.4%
A 4
 
4.4%
Other values (18) 32
35.6%
Common
ValueCountFrequency (%)
1 232
26.9%
0 167
19.4%
3 167
19.4%
2 129
15.0%
5 36
 
4.2%
4 35
 
4.1%
6 18
 
2.1%
7 17
 
2.0%
- 17
 
2.0%
8 14
 
1.6%
Other values (5) 30
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 952
77.1%
Hangul 278
 
22.5%
None 5
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 232
24.4%
0 167
17.5%
3 167
17.5%
2 129
13.6%
5 36
 
3.8%
4 35
 
3.7%
6 18
 
1.9%
7 17
 
1.8%
- 17
 
1.8%
8 14
 
1.5%
Other values (33) 120
12.6%
Hangul
ValueCountFrequency (%)
스 22
 
7.9%
이 15
 
5.4%
아 10
 
3.6%
텍 8
 
2.9%
리 8
 
2.9%
시 8
 
2.9%
코 7
 
2.5%
주 6
 
2.2%
템 6
 
2.2%
크 6
 
2.2%
Other values (104) 182
65.5%
None
ValueCountFrequency (%)
㈜ 5
100.0%

판매국가
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9530
Missing (%)95.3%
Memory size156.2 KiB

판매전화번호
Text

MISSING 

Distinct88
Distinct (%)16.2%
Missing9457
Missing (%)94.6%
Memory size156.2 KiB
2024-01-10T06:05:40.344825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length13
Mean length7.5395948
Min length3

Characters and Unicode

Total characters4094
Distinct characters73
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)10.1%

Sample

1st row한국생산기술연구원
2nd row한국산업기술평가원
3rd row한국연구재단
4th row한국산업기술진흥원
5th row2010
ValueCountFrequency (%)
한국산업기술평가원 107
19.5%
한국산업기술진흥원 83
15.1%
한국연구재단 31
 
5.7%
한국산업기술평가관리원 31
 
5.7%
2008 28
 
5.1%
2015 27
 
4.9%
2007 26
 
4.7%
2011 26
 
4.7%
2012 17
 
3.1%
한국생산기술연구원 12
 
2.2%
Other values (83) 160
29.2%
2024-01-10T06:05:40.752773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 354
 
8.6%
국 288
 
7.0%
한 286
 
7.0%
원 258
 
6.3%
기 256
 
6.3%
산 253
 
6.2%
술 249
 
6.1%
업 243
 
5.9%
2 243
 
5.9%
1 215
 
5.3%
Other values (63) 1449
35.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2730
66.7%
Decimal Number 1247
30.5%
Dash Punctuation 102
 
2.5%
Space Separator 5
 
0.1%
Open Punctuation 5
 
0.1%
Close Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 288
10.5%
한 286
10.5%
원 258
9.5%
기 256
9.4%
산 253
9.3%
술 249
9.1%
업 243
8.9%
평 142
 
5.2%
가 142
 
5.2%
진 108
 
4.0%
Other values (49) 505
18.5%
Decimal Number
ValueCountFrequency (%)
0 354
28.4%
2 243
19.5%
1 215
17.2%
7 87
 
7.0%
3 82
 
6.6%
5 74
 
5.9%
8 70
 
5.6%
6 56
 
4.5%
4 42
 
3.4%
9 24
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2730
66.7%
Common 1364
33.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 288
10.5%
한 286
10.5%
원 258
9.5%
기 256
9.4%
산 253
9.3%
술 249
9.1%
업 243
8.9%
평 142
 
5.2%
가 142
 
5.2%
진 108
 
4.0%
Other values (49) 505
18.5%
Common
ValueCountFrequency (%)
0 354
26.0%
2 243
17.8%
1 215
15.8%
- 102
 
7.5%
7 87
 
6.4%
3 82
 
6.0%
5 74
 
5.4%
8 70
 
5.1%
6 56
 
4.1%
4 42
 
3.1%
Other values (4) 39
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2730
66.7%
ASCII 1364
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 354
26.0%
2 243
17.8%
1 215
15.8%
- 102
 
7.5%
7 87
 
6.4%
3 82
 
6.0%
5 74
 
5.4%
8 70
 
5.1%
6 56
 
4.1%
4 42
 
3.1%
Other values (4) 39
 
2.9%
Hangul
ValueCountFrequency (%)
국 288
10.5%
한 286
10.5%
원 258
9.5%
기 256
9.4%
산 253
9.3%
술 249
9.1%
업 243
8.9%
평 142
 
5.2%
가 142
 
5.2%
진 108
 
4.0%
Other values (49) 505
18.5%

AS국가
Text

MISSING 

Distinct204
Distinct (%)35.9%
Missing9432
Missing (%)94.3%
Memory size156.2 KiB
2024-01-10T06:05:40.951520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length10.269366
Min length2

Characters and Unicode

Total characters5833
Distinct characters190
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

Unique129 ?
Unique (%)22.7%

Sample

1st row06EB10001
2nd row2300230001000012000018
3rd row2009-0093829
4th rowR0003577
5th row지식경제부
ValueCountFrequency (%)
2300230001000012000018 70
 
12.2%
한국산업기술진흥원 65
 
11.3%
한국산업기술평가관리원 33
 
5.8%
한국산업기술평가원 23
 
4.0%
한국연구재단 19
 
3.3%
n0001200 17
 
3.0%
b0008962 11
 
1.9%
2010 9
 
1.6%
m0000123 7
 
1.2%
2008 7
 
1.2%
Other values (198) 312
54.5%
2024-01-10T06:05:41.278968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1673
28.7%
1 512
 
8.8%
2 434
 
7.4%
3 254
 
4.4%
한 159
 
2.7%
국 157
 
2.7%
8 155
 
2.7%
기 151
 
2.6%
원 139
 
2.4%
술 137
 
2.3%
Other values (180) 2062
35.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3441
59.0%
Other Letter 1808
31.0%
Uppercase Letter 355
 
6.1%
Dash Punctuation 124
 
2.1%
Lowercase Letter 78
 
1.3%
Space Separator 7
 
0.1%
Open Punctuation 7
 
0.1%
Close Punctuation 7
 
0.1%
Other Symbol 5
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 159
 
8.8%
국 157
 
8.7%
기 151
 
8.4%
원 139
 
7.7%
술 137
 
7.6%
업 130
 
7.2%
산 130
 
7.2%
진 79
 
4.4%
흥 77
 
4.3%
가 65
 
3.6%
Other values (126) 584
32.3%
Uppercase Letter
ValueCountFrequency (%)
B 42
11.8%
N 39
11.0%
A 38
10.7%
I 34
9.6%
T 31
8.7%
R 27
7.6%
C 23
 
6.5%
P 22
 
6.2%
K 18
 
5.1%
S 14
 
3.9%
Other values (11) 67
18.9%
Lowercase Letter
ValueCountFrequency (%)
t 11
14.1%
e 9
11.5%
n 8
10.3%
a 7
9.0%
r 7
9.0%
p 6
7.7%
k 5
6.4%
s 5
6.4%
i 5
6.4%
o 4
 
5.1%
Other values (7) 11
14.1%
Decimal Number
ValueCountFrequency (%)
0 1673
48.6%
1 512
 
14.9%
2 434
 
12.6%
3 254
 
7.4%
8 155
 
4.5%
9 99
 
2.9%
6 96
 
2.8%
4 84
 
2.4%
5 76
 
2.2%
7 58
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 124
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3587
61.5%
Hangul 1813
31.1%
Latin 433
 
7.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 159
 
8.8%
국 157
 
8.7%
기 151
 
8.3%
원 139
 
7.7%
술 137
 
7.6%
업 130
 
7.2%
산 130
 
7.2%
진 79
 
4.4%
흥 77
 
4.2%
가 65
 
3.6%
Other values (127) 589
32.5%
Latin
ValueCountFrequency (%)
B 42
 
9.7%
N 39
 
9.0%
A 38
 
8.8%
I 34
 
7.9%
T 31
 
7.2%
R 27
 
6.2%
C 23
 
5.3%
P 22
 
5.1%
K 18
 
4.2%
S 14
 
3.2%
Other values (28) 145
33.5%
Common
ValueCountFrequency (%)
0 1673
46.6%
1 512
 
14.3%
2 434
 
12.1%
3 254
 
7.1%
8 155
 
4.3%
- 124
 
3.5%
9 99
 
2.8%
6 96
 
2.7%
4 84
 
2.3%
5 76
 
2.1%
Other values (5) 80
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4020
68.9%
Hangul 1808
31.0%
None 5
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1673
41.6%
1 512
 
12.7%
2 434
 
10.8%
3 254
 
6.3%
8 155
 
3.9%
- 124
 
3.1%
9 99
 
2.5%
6 96
 
2.4%
4 84
 
2.1%
5 76
 
1.9%
Other values (43) 513
 
12.8%
Hangul
ValueCountFrequency (%)
한 159
 
8.8%
국 157
 
8.7%
기 151
 
8.4%
원 139
 
7.7%
술 137
 
7.6%
업 130
 
7.2%
산 130
 
7.2%
진 79
 
4.4%
흥 77
 
4.3%
가 65
 
3.6%
Other values (126) 584
32.3%
None
ValueCountFrequency (%)
㈜ 5
100.0%

AS전화번호
Text

MISSING 

Distinct93
Distinct (%)23.5%
Missing9605
Missing (%)96.0%
Memory size156.2 KiB
2024-01-10T06:05:41.513137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length4
Mean length7.1822785
Min length2

Characters and Unicode

Total characters2837
Distinct characters83
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

Unique63 ?
Unique (%)15.9%

Sample

1st row기술개발
2nd row기반조성
3rd row기반조성
4th row기반조성
5th row한국산업기술평가원
ValueCountFrequency (%)
기반조성 151
38.1%
대한민국 54
 
13.6%
2300230001000012000018 17
 
4.3%
한국산업기술평가원 13
 
3.3%
기술개발 13
 
3.3%
한국산업기술평가관리원 9
 
2.3%
kiat-tp09-06 7
 
1.8%
지역기반조성 6
 
1.5%
한국산업기술진흥원 6
 
1.5%
r0004905 5
 
1.3%
Other values (84) 115
29.0%
2024-01-10T06:05:41.895158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 603
21.3%
1 209
 
7.4%
기 203
 
7.2%
반 158
 
5.6%
성 157
 
5.5%
조 157
 
5.5%
2 148
 
5.2%
3 94
 
3.3%
국 88
 
3.1%
한 84
 
3.0%
Other values (73) 936
33.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1328
46.8%
Other Letter 1263
44.5%
Uppercase Letter 158
 
5.6%
Dash Punctuation 76
 
2.7%
Lowercase Letter 11
 
0.4%
Space Separator 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 203
16.1%
반 158
12.5%
성 157
12.4%
조 157
12.4%
국 88
 
7.0%
한 84
 
6.7%
대 56
 
4.4%
민 54
 
4.3%
술 43
 
3.4%
원 32
 
2.5%
Other values (35) 231
18.3%
Uppercase Letter
ValueCountFrequency (%)
A 24
15.2%
R 19
12.0%
T 17
10.8%
I 14
8.9%
P 14
8.9%
B 12
7.6%
S 9
 
5.7%
N 9
 
5.7%
C 9
 
5.7%
K 9
 
5.7%
Other values (7) 22
13.9%
Decimal Number
ValueCountFrequency (%)
0 603
45.4%
1 209
 
15.7%
2 148
 
11.1%
3 94
 
7.1%
9 58
 
4.4%
6 50
 
3.8%
8 46
 
3.5%
4 46
 
3.5%
5 44
 
3.3%
7 30
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
a 2
18.2%
k 2
18.2%
o 1
9.1%
f 1
9.1%
t 1
9.1%
e 1
9.1%
s 1
9.1%
n 1
9.1%
h 1
9.1%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1405
49.5%
Hangul 1263
44.5%
Latin 169
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 203
16.1%
반 158
12.5%
성 157
12.4%
조 157
12.4%
국 88
 
7.0%
한 84
 
6.7%
대 56
 
4.4%
민 54
 
4.3%
술 43
 
3.4%
원 32
 
2.5%
Other values (35) 231
18.3%
Latin
ValueCountFrequency (%)
A 24
14.2%
R 19
11.2%
T 17
10.1%
I 14
8.3%
P 14
8.3%
B 12
 
7.1%
S 9
 
5.3%
N 9
 
5.3%
C 9
 
5.3%
K 9
 
5.3%
Other values (16) 33
19.5%
Common
ValueCountFrequency (%)
0 603
42.9%
1 209
 
14.9%
2 148
 
10.5%
3 94
 
6.7%
- 76
 
5.4%
9 58
 
4.1%
6 50
 
3.6%
8 46
 
3.3%
4 46
 
3.3%
5 44
 
3.1%
Other values (2) 31
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1574
55.5%
Hangul 1263
44.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 603
38.3%
1 209
 
13.3%
2 148
 
9.4%
3 94
 
6.0%
- 76
 
4.8%
9 58
 
3.7%
6 50
 
3.2%
8 46
 
2.9%
4 46
 
2.9%
5 44
 
2.8%
Other values (28) 200
 
12.7%
Hangul
ValueCountFrequency (%)
기 203
16.1%
반 158
12.5%
성 157
12.4%
조 157
12.4%
국 88
 
7.0%
한 84
 
6.7%
대 56
 
4.4%
민 54
 
4.3%
술 43
 
3.4%
원 32
 
2.5%
Other values (35) 231
18.3%

AS전화번호.1
Text

MISSING 

Distinct77
Distinct (%)15.5%
Missing9503
Missing (%)95.0%
Memory size156.2 KiB
2024-01-10T06:05:42.115227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length2
Mean length4.1509054
Min length2

Characters and Unicode

Total characters2063
Distinct characters47
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

Unique56 ?
Unique (%)11.3%

Sample

1st rowIT
2nd row기타
3rd rowBT
4th rowIT
5th rowET
ValueCountFrequency (%)
기타 177
35.5%
기반조성 84
16.9%
bt 52
 
10.4%
it 40
 
8.0%
et 27
 
5.4%
nt 18
 
3.6%
기술개발 10
 
2.0%
2300230001000012000018 5
 
1.0%
pj00747220101135300 3
 
0.6%
70006537 3
 
0.6%
Other values (68) 79
15.9%
2024-01-10T06:05:42.500234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 272
13.2%
0 255
12.4%
타 177
 
8.6%
T 142
 
6.9%
1 126
 
6.1%
- 115
 
5.6%
2 102
 
4.9%
3 93
 
4.5%
반 84
 
4.1%
조 84
 
4.1%
Other values (37) 613
29.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 888
43.0%
Other Letter 740
35.9%
Uppercase Letter 313
 
15.2%
Dash Punctuation 115
 
5.6%
Lowercase Letter 4
 
0.2%
Space Separator 2
 
0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 272
36.8%
타 177
23.9%
반 84
 
11.4%
조 84
 
11.4%
성 84
 
11.4%
발 10
 
1.4%
개 10
 
1.4%
술 10
 
1.4%
나 2
 
0.3%
산 1
 
0.1%
Other values (6) 6
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
T 142
45.4%
B 53
 
16.9%
I 43
 
13.7%
E 29
 
9.3%
N 19
 
6.1%
P 7
 
2.2%
J 5
 
1.6%
A 5
 
1.6%
K 3
 
1.0%
L 2
 
0.6%
Other values (4) 5
 
1.6%
Decimal Number
ValueCountFrequency (%)
0 255
28.7%
1 126
14.2%
2 102
 
11.5%
3 93
 
10.5%
7 64
 
7.2%
6 62
 
7.0%
5 59
 
6.6%
8 53
 
6.0%
4 50
 
5.6%
9 24
 
2.7%
Lowercase Letter
ValueCountFrequency (%)
e 1
25.0%
p 1
25.0%
t 1
25.0%
i 1
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 115
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1006
48.8%
Hangul 740
35.9%
Latin 317
 
15.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
T 142
44.8%
B 53
 
16.7%
I 43
 
13.6%
E 29
 
9.1%
N 19
 
6.0%
P 7
 
2.2%
J 5
 
1.6%
A 5
 
1.6%
K 3
 
0.9%
L 2
 
0.6%
Other values (8) 9
 
2.8%
Hangul
ValueCountFrequency (%)
기 272
36.8%
타 177
23.9%
반 84
 
11.4%
조 84
 
11.4%
성 84
 
11.4%
발 10
 
1.4%
개 10
 
1.4%
술 10
 
1.4%
나 2
 
0.3%
산 1
 
0.1%
Other values (6) 6
 
0.8%
Common
ValueCountFrequency (%)
0 255
25.3%
1 126
12.5%
- 115
11.4%
2 102
 
10.1%
3 93
 
9.2%
7 64
 
6.4%
6 62
 
6.2%
5 59
 
5.9%
8 53
 
5.3%
4 50
 
5.0%
Other values (3) 27
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1323
64.1%
Hangul 740
35.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 272
36.8%
타 177
23.9%
반 84
 
11.4%
조 84
 
11.4%
성 84
 
11.4%
발 10
 
1.4%
개 10
 
1.4%
술 10
 
1.4%
나 2
 
0.3%
산 1
 
0.1%
Other values (6) 6
 
0.8%
ASCII
ValueCountFrequency (%)
0 255
19.3%
T 142
10.7%
1 126
9.5%
- 115
8.7%
2 102
 
7.7%
3 93
 
7.0%
7 64
 
4.8%
6 62
 
4.7%
5 59
 
4.5%
8 53
 
4.0%
Other values (21) 252
19.0%

AS담당자명
Categorical

IMBALANCE 

Distinct45
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9486 
주력기간산업기술고도화
 
91
국가주도기술핵심역량 확보
 
88
기초/기반/융합 기술개발 활성화
 
63
BT
 
51
Other values (40)
 
221

Length

Max length17
Median length4
Mean length4.2708
Min length2

Unique

Unique29 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9486
94.9%
주력기간산업기술고도화 91
 
0.9%
국가주도기술핵심역량 확보 88
 
0.9%
기초/기반/융합 기술개발 활성화 63
 
0.6%
BT 51
 
0.5%
기타 48
 
0.5%
글로벌 이슈대응 연구개발추진 35
 
0.4%
신산업 창출 핵심기술 개발강화 34
 
0.3%
ET 25
 
0.2%
IT 20
 
0.2%
Other values (35) 59
 
0.6%

Length

2024-01-10T06:05:42.636235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9486
91.3%
주력기간산업기술고도화 91
 
0.9%
국가주도기술핵심역량 88
 
0.8%
확보 88
 
0.8%
기술개발 66
 
0.6%
기초/기반/융합 63
 
0.6%
활성화 63
 
0.6%
bt 51
 
0.5%
기타 48
 
0.5%
연구개발추진 35
 
0.3%
Other values (43) 308
 
3.0%

AS담당자전화번호
Text

MISSING 

Distinct167
Distinct (%)30.1%
Missing9446
Missing (%)94.5%
Memory size156.2 KiB
2024-01-10T06:05:42.840750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length29
Mean length11.597473
Min length2

Characters and Unicode

Total characters6425
Distinct characters218
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)18.8%

Sample

1st row산업(한국생산기술연구원)
2nd row지역산업진흥
3rd row대학중점연구소지원(과학기술계)
4th row산업기술거점기관지원
5th row그린카등수송시스템산업원천기술개발
ValueCountFrequency (%)
지역산업진흥 70
 
8.7%
기술개발 63
 
7.8%
활성화 61
 
7.5%
기초/기반/융합 61
 
7.5%
주력기간산업기술고도화 39
 
4.8%
국가주도기술핵심역량 21
 
2.6%
확보 21
 
2.6%
지역산업기반구축사업 17
 
2.1%
신산업 15
 
1.9%
창출 15
 
1.9%
Other values (192) 425
52.6%
2024-01-10T06:05:43.183231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 538
 
8.4%
업 316
 
4.9%
술 260
 
4.0%
산 259
 
4.0%
254
 
4.0%
지 185
 
2.9%
역 160
 
2.5%
개 158
 
2.5%
발 157
 
2.4%
화 139
 
2.2%
Other values (208) 3999
62.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5054
78.7%
Decimal Number 481
 
7.5%
Space Separator 254
 
4.0%
Uppercase Letter 211
 
3.3%
Other Punctuation 147
 
2.3%
Dash Punctuation 91
 
1.4%
Close Punctuation 65
 
1.0%
Open Punctuation 65
 
1.0%
Math Symbol 47
 
0.7%
Lowercase Letter 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 538
 
10.6%
업 316
 
6.3%
술 260
 
5.1%
산 259
 
5.1%
지 185
 
3.7%
역 160
 
3.2%
개 158
 
3.1%
발 157
 
3.1%
화 139
 
2.8%
반 132
 
2.6%
Other values (170) 2750
54.4%
Decimal Number
ValueCountFrequency (%)
0 106
22.0%
1 61
12.7%
3 55
11.4%
2 47
9.8%
5 46
9.6%
6 39
 
8.1%
7 38
 
7.9%
8 37
 
7.7%
4 33
 
6.9%
9 19
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
R 48
22.7%
C 43
20.4%
T 36
17.1%
I 35
16.6%
D 14
 
6.6%
E 11
 
5.2%
N 9
 
4.3%
B 7
 
3.3%
L 7
 
3.3%
W 1
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
s 2
25.0%
l 2
25.0%
a 1
12.5%
o 1
12.5%
r 1
12.5%
d 1
12.5%
Math Symbol
ValueCountFrequency (%)
+ 14
29.8%
> 11
23.4%
= 11
23.4%
< 11
23.4%
Other Punctuation
ValueCountFrequency (%)
/ 124
84.4%
& 14
 
9.5%
. 9
 
6.1%
Space Separator
ValueCountFrequency (%)
254
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 91
100.0%
Close Punctuation
ValueCountFrequency (%)
) 65
100.0%
Open Punctuation
ValueCountFrequency (%)
( 65
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5054
78.7%
Common 1152
 
17.9%
Latin 219
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 538
 
10.6%
업 316
 
6.3%
술 260
 
5.1%
산 259
 
5.1%
지 185
 
3.7%
역 160
 
3.2%
개 158
 
3.1%
발 157
 
3.1%
화 139
 
2.8%
반 132
 
2.6%
Other values (170) 2750
54.4%
Common
ValueCountFrequency (%)
254
22.0%
/ 124
10.8%
0 106
9.2%
- 91
 
7.9%
) 65
 
5.6%
( 65
 
5.6%
1 61
 
5.3%
3 55
 
4.8%
2 47
 
4.1%
5 46
 
4.0%
Other values (12) 238
20.7%
Latin
ValueCountFrequency (%)
R 48
21.9%
C 43
19.6%
T 36
16.4%
I 35
16.0%
D 14
 
6.4%
E 11
 
5.0%
N 9
 
4.1%
B 7
 
3.2%
L 7
 
3.2%
s 2
 
0.9%
Other values (6) 7
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5054
78.7%
ASCII 1371
 
21.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 538
 
10.6%
업 316
 
6.3%
술 260
 
5.1%
산 259
 
5.1%
지 185
 
3.7%
역 160
 
3.2%
개 158
 
3.1%
발 157
 
3.1%
화 139
 
2.8%
반 132
 
2.6%
Other values (170) 2750
54.4%
ASCII
ValueCountFrequency (%)
254
18.5%
/ 124
 
9.0%
0 106
 
7.7%
- 91
 
6.6%
) 65
 
4.7%
( 65
 
4.7%
1 61
 
4.4%
3 55
 
4.0%
R 48
 
3.5%
2 47
 
3.4%
Other values (28) 455
33.2%

보유기관 유형
Text

MISSING 

Distinct221
Distinct (%)31.6%
Missing9301
Missing (%)93.0%
Memory size156.2 KiB
2024-01-10T06:05:43.515386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length43
Mean length15.493562
Min length2

Characters and Unicode

Total characters10830
Distinct characters404
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

Unique131 ?
Unique (%)18.7%

Sample

1st row기타
2nd row기타
3rd rowIT 산업용 원천소재 생산기술 개발 사업(1/4)
4th row충남영상미디어산업사업화센터설립
5th row조직재생공학을 위한 소재-세포-인자 융합 연구
ValueCountFrequency (%)
충남영상미디어산업사업화센터설립 70
 
4.0%
기타 61
 
3.4%
4년제 55
 
3.1%
사립대학 52
 
2.9%
개발 51
 
2.9%
및 39
 
2.2%
지역산업기반구축사업 30
 
1.7%
연구기관 27
 
1.5%
민간기업 25
 
1.4%
위한 23
 
1.3%
Other values (593) 1336
75.5%
2024-01-10T06:05:44.028630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1070
 
9.9%
업 524
 
4.8%
기 435
 
4.0%
산 290
 
2.7%
사 282
 
2.6%
지 249
 
2.3%
구 233
 
2.2%
화 191
 
1.8%
터 154
 
1.4%
립 148
 
1.4%
Other values (394) 7254
67.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8903
82.2%
Space Separator 1070
 
9.9%
Uppercase Letter 241
 
2.2%
Lowercase Letter 165
 
1.5%
Decimal Number 158
 
1.5%
Close Punctuation 94
 
0.9%
Open Punctuation 94
 
0.9%
Other Punctuation 64
 
0.6%
Dash Punctuation 22
 
0.2%
Math Symbol 16
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 524
 
5.9%
기 435
 
4.9%
산 290
 
3.3%
사 282
 
3.2%
지 249
 
2.8%
구 233
 
2.6%
화 191
 
2.1%
터 154
 
1.7%
립 148
 
1.7%
센 147
 
1.7%
Other values (324) 6250
70.2%
Lowercase Letter
ValueCountFrequency (%)
e 22
13.3%
o 18
10.9%
l 16
 
9.7%
i 12
 
7.3%
r 12
 
7.3%
a 10
 
6.1%
n 10
 
6.1%
g 8
 
4.8%
u 7
 
4.2%
m 7
 
4.2%
Other values (13) 43
26.1%
Uppercase Letter
ValueCountFrequency (%)
I 41
17.0%
C 29
12.0%
T 22
9.1%
D 20
8.3%
L 20
8.3%
N 18
7.5%
R 17
7.1%
S 12
 
5.0%
E 12
 
5.0%
M 9
 
3.7%
Other values (11) 41
17.0%
Decimal Number
ValueCountFrequency (%)
4 65
41.1%
0 26
 
16.5%
1 22
 
13.9%
5 14
 
8.9%
2 13
 
8.2%
3 11
 
7.0%
8 3
 
1.9%
9 2
 
1.3%
6 1
 
0.6%
7 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
/ 20
31.2%
. 14
21.9%
? 11
17.2%
· 9
14.1%
& 7
 
10.9%
% 2
 
3.1%
; 1
 
1.6%
Math Symbol
ValueCountFrequency (%)
+ 7
43.8%
> 3
18.8%
= 3
18.8%
< 3
18.8%
Space Separator
ValueCountFrequency (%)
1070
100.0%
Close Punctuation
ValueCountFrequency (%)
) 94
100.0%
Open Punctuation
ValueCountFrequency (%)
( 94
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8903
82.2%
Common 1521
 
14.0%
Latin 406
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 524
 
5.9%
기 435
 
4.9%
산 290
 
3.3%
사 282
 
3.2%
지 249
 
2.8%
구 233
 
2.6%
화 191
 
2.1%
터 154
 
1.7%
립 148
 
1.7%
센 147
 
1.7%
Other values (324) 6250
70.2%
Latin
ValueCountFrequency (%)
I 41
 
10.1%
C 29
 
7.1%
T 22
 
5.4%
e 22
 
5.4%
D 20
 
4.9%
L 20
 
4.9%
N 18
 
4.4%
o 18
 
4.4%
R 17
 
4.2%
l 16
 
3.9%
Other values (34) 183
45.1%
Common
ValueCountFrequency (%)
1070
70.3%
) 94
 
6.2%
( 94
 
6.2%
4 65
 
4.3%
0 26
 
1.7%
1 22
 
1.4%
- 22
 
1.4%
/ 20
 
1.3%
5 14
 
0.9%
. 14
 
0.9%
Other values (16) 80
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8903
82.2%
ASCII 1918
 
17.7%
None 9
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1070
55.8%
) 94
 
4.9%
( 94
 
4.9%
4 65
 
3.4%
I 41
 
2.1%
C 29
 
1.5%
0 26
 
1.4%
1 22
 
1.1%
T 22
 
1.1%
e 22
 
1.1%
Other values (59) 433
22.6%
Hangul
ValueCountFrequency (%)
업 524
 
5.9%
기 435
 
4.9%
산 290
 
3.3%
사 282
 
3.2%
지 249
 
2.8%
구 233
 
2.6%
화 191
 
2.1%
터 154
 
1.7%
립 148
 
1.7%
센 147
 
1.7%
Other values (324) 6250
70.2%
None
ValueCountFrequency (%)
· 9
100.0%

보유기관명
Text

MISSING 

Distinct259
Distinct (%)36.7%
Missing9295
Missing (%)93.0%
Memory size156.2 KiB
2024-01-10T06:05:44.260376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length105
Median length72
Mean length12.970213
Min length2

Characters and Unicode

Total characters9144
Distinct characters385
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique148 ?
Unique (%)21.0%

Sample

1st row한국자동차연구원
2nd row(재)한국건설생활환경시험연구원
3rd row2006-01-01
4th row2002-02-01
5th row2009-09-01
ValueCountFrequency (%)
2002-02-01 70
 
5.4%
한국자동차연구원 56
 
4.3%
개발 42
 
3.3%
산학협력단 26
 
2.0%
및 24
 
1.9%
동물자원사업화지원센터건립 23
 
1.8%
충남테크노파크 18
 
1.4%
호서대학교 17
 
1.3%
충남영상미디어산업사업화센터설립 17
 
1.3%
이용한 13
 
1.0%
Other values (539) 986
76.3%
2024-01-10T06:05:44.657144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1129
 
12.3%
- 654
 
7.2%
1 609
 
6.7%
587
 
6.4%
2 528
 
5.8%
업 158
 
1.7%
원 150
 
1.6%
구 133
 
1.5%
기 132
 
1.4%
산 119
 
1.3%
Other values (375) 4945
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4858
53.1%
Decimal Number 2604
28.5%
Dash Punctuation 654
 
7.2%
Space Separator 587
 
6.4%
Lowercase Letter 169
 
1.8%
Uppercase Letter 132
 
1.4%
Open Punctuation 56
 
0.6%
Close Punctuation 56
 
0.6%
Other Punctuation 24
 
0.3%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 158
 
3.3%
원 150
 
3.1%
구 133
 
2.7%
기 132
 
2.7%
산 119
 
2.4%
학 114
 
2.3%
한 105
 
2.2%
자 103
 
2.1%
연 100
 
2.1%
사 98
 
2.0%
Other values (304) 3646
75.1%
Lowercase Letter
ValueCountFrequency (%)
o 20
 
11.8%
e 18
 
10.7%
i 14
 
8.3%
r 14
 
8.3%
n 11
 
6.5%
l 9
 
5.3%
a 9
 
5.3%
c 8
 
4.7%
d 8
 
4.7%
t 7
 
4.1%
Other values (14) 51
30.2%
Uppercase Letter
ValueCountFrequency (%)
C 14
 
10.6%
I 13
 
9.8%
L 12
 
9.1%
E 11
 
8.3%
P 10
 
7.6%
N 9
 
6.8%
S 8
 
6.1%
T 8
 
6.1%
D 6
 
4.5%
M 6
 
4.5%
Other values (11) 35
26.5%
Decimal Number
ValueCountFrequency (%)
0 1129
43.4%
1 609
23.4%
2 528
20.3%
6 64
 
2.5%
8 53
 
2.0%
3 51
 
2.0%
5 43
 
1.7%
7 43
 
1.7%
9 42
 
1.6%
4 42
 
1.6%
Other Punctuation
ValueCountFrequency (%)
. 8
33.3%
/ 7
29.2%
· 5
20.8%
& 2
 
8.3%
? 1
 
4.2%
% 1
 
4.2%
Open Punctuation
ValueCountFrequency (%)
( 54
96.4%
[ 1
 
1.8%
「 1
 
1.8%
Close Punctuation
ValueCountFrequency (%)
) 54
96.4%
] 1
 
1.8%
」 1
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 654
100.0%
Space Separator
ValueCountFrequency (%)
587
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4858
53.1%
Common 3985
43.6%
Latin 301
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 158
 
3.3%
원 150
 
3.1%
구 133
 
2.7%
기 132
 
2.7%
산 119
 
2.4%
학 114
 
2.3%
한 105
 
2.2%
자 103
 
2.1%
연 100
 
2.1%
사 98
 
2.0%
Other values (304) 3646
75.1%
Latin
ValueCountFrequency (%)
o 20
 
6.6%
e 18
 
6.0%
i 14
 
4.7%
C 14
 
4.7%
r 14
 
4.7%
I 13
 
4.3%
L 12
 
4.0%
n 11
 
3.7%
E 11
 
3.7%
P 10
 
3.3%
Other values (35) 164
54.5%
Common
ValueCountFrequency (%)
0 1129
28.3%
- 654
16.4%
1 609
15.3%
587
14.7%
2 528
13.2%
6 64
 
1.6%
( 54
 
1.4%
) 54
 
1.4%
8 53
 
1.3%
3 51
 
1.3%
Other values (16) 202
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4858
53.1%
ASCII 4278
46.8%
None 7
 
0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1129
26.4%
- 654
15.3%
1 609
14.2%
587
13.7%
2 528
12.3%
6 64
 
1.5%
( 54
 
1.3%
) 54
 
1.3%
8 53
 
1.2%
3 51
 
1.2%
Other values (57) 495
11.6%
Hangul
ValueCountFrequency (%)
업 158
 
3.3%
원 150
 
3.1%
구 133
 
2.7%
기 132
 
2.7%
산 119
 
2.4%
학 114
 
2.3%
한 105
 
2.2%
자 103
 
2.1%
연 100
 
2.1%
사 98
 
2.0%
Other values (304) 3646
75.1%
None
ValueCountFrequency (%)
· 5
71.4%
「 1
 
14.3%
」 1
 
14.3%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

사업자번호
Text

MISSING 

Distinct228
Distinct (%)32.4%
Missing9296
Missing (%)93.0%
Memory size156.2 KiB
2024-01-10T06:05:44.899920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length10
Mean length11.302557
Min length2

Characters and Unicode

Total characters7957
Distinct characters211
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique117 ?
Unique (%)16.6%

Sample

1st row312-82-04676
2nd row111-11-11137
3rd row2006-12-01
4th row2003-12-01
5th row2010-08-31
ValueCountFrequency (%)
2003-12-01 70
 
8.2%
312-82-04676 56
 
6.5%
2003-01-01 24
 
2.8%
개발 18
 
2.1%
312-82-06577 18
 
2.1%
312-82-10256 17
 
2.0%
2002-02-01 17
 
2.0%
2011-12-31 10
 
1.2%
및 10
 
1.2%
9
 
1.1%
Other values (294) 608
70.9%
2024-01-10T06:05:45.289129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1615
20.3%
- 1328
16.7%
1 1301
16.4%
2 1091
13.7%
3 477
 
6.0%
8 291
 
3.7%
6 271
 
3.4%
7 180
 
2.3%
153
 
1.9%
4 138
 
1.7%
Other values (201) 1112
14.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5576
70.1%
Dash Punctuation 1328
 
16.7%
Other Letter 802
 
10.1%
Space Separator 153
 
1.9%
Lowercase Letter 42
 
0.5%
Uppercase Letter 32
 
0.4%
Open Punctuation 10
 
0.1%
Close Punctuation 10
 
0.1%
Other Punctuation 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 29
 
3.6%
개 26
 
3.2%
발 25
 
3.1%
업 20
 
2.5%
성 18
 
2.2%
술 17
 
2.1%
동 16
 
2.0%
이 16
 
2.0%
구 15
 
1.9%
용 15
 
1.9%
Other values (151) 605
75.4%
Uppercase Letter
ValueCountFrequency (%)
P 7
21.9%
B 4
12.5%
M 3
9.4%
U 2
 
6.2%
G 2
 
6.2%
S 2
 
6.2%
W 2
 
6.2%
L 1
 
3.1%
V 1
 
3.1%
C 1
 
3.1%
Other values (7) 7
21.9%
Lowercase Letter
ValueCountFrequency (%)
e 7
16.7%
r 7
16.7%
d 4
9.5%
n 3
7.1%
o 3
7.1%
i 3
7.1%
a 3
7.1%
p 2
 
4.8%
l 2
 
4.8%
m 2
 
4.8%
Other values (6) 6
14.3%
Decimal Number
ValueCountFrequency (%)
0 1615
29.0%
1 1301
23.3%
2 1091
19.6%
3 477
 
8.6%
8 291
 
5.2%
6 271
 
4.9%
7 180
 
3.2%
4 138
 
2.5%
9 107
 
1.9%
5 105
 
1.9%
Other Punctuation
ValueCountFrequency (%)
' 2
66.7%
/ 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 1328
100.0%
Space Separator
ValueCountFrequency (%)
153
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7081
89.0%
Hangul 802
 
10.1%
Latin 74
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 29
 
3.6%
개 26
 
3.2%
발 25
 
3.1%
업 20
 
2.5%
성 18
 
2.2%
술 17
 
2.1%
동 16
 
2.0%
이 16
 
2.0%
구 15
 
1.9%
용 15
 
1.9%
Other values (151) 605
75.4%
Latin
ValueCountFrequency (%)
P 7
 
9.5%
e 7
 
9.5%
r 7
 
9.5%
d 4
 
5.4%
B 4
 
5.4%
n 3
 
4.1%
o 3
 
4.1%
i 3
 
4.1%
a 3
 
4.1%
M 3
 
4.1%
Other values (23) 30
40.5%
Common
ValueCountFrequency (%)
0 1615
22.8%
- 1328
18.8%
1 1301
18.4%
2 1091
15.4%
3 477
 
6.7%
8 291
 
4.1%
6 271
 
3.8%
7 180
 
2.5%
153
 
2.2%
4 138
 
1.9%
Other values (7) 236
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7155
89.9%
Hangul 802
 
10.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1615
22.6%
- 1328
18.6%
1 1301
18.2%
2 1091
15.2%
3 477
 
6.7%
8 291
 
4.1%
6 271
 
3.8%
7 180
 
2.5%
153
 
2.1%
4 138
 
1.9%
Other values (40) 310
 
4.3%
Hangul
ValueCountFrequency (%)
기 29
 
3.6%
개 26
 
3.2%
발 25
 
3.1%
업 20
 
2.5%
성 18
 
2.2%
술 17
 
2.1%
동 16
 
2.0%
이 16
 
2.0%
구 15
 
1.9%
용 15
 
1.9%
Other values (151) 605
75.4%

우편번호
Text

MISSING 

Distinct175
Distinct (%)28.0%
Missing9374
Missing (%)93.7%
Memory size156.2 KiB
2024-01-10T06:05:45.618561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length7.8722045
Min length2

Characters and Unicode

Total characters4928
Distinct characters143
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)16.0%

Sample

1st row한국생산기술연구원
2nd row충남테크노파크
3rd row단국대학교
4th row충남테크노파크
5th row2011-05-31
ValueCountFrequency (%)
충남테크노파크 125
 
19.4%
단국대학교 26
 
4.0%
2007-12-31 24
 
3.7%
한국자동차연구원 22
 
3.4%
한국생산기술연구원 22
 
3.4%
순천향대학교 20
 
3.1%
31035 18
 
2.8%
산학협력단 18
 
2.8%
2003-12-01 17
 
2.6%
31499 17
 
2.6%
Other values (164) 336
52.1%
2024-01-10T06:05:46.059584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 594
 
12.1%
1 500
 
10.1%
- 430
 
8.7%
2 368
 
7.5%
3 283
 
5.7%
크 253
 
5.1%
충 130
 
2.6%
남 130
 
2.6%
테 128
 
2.6%
파 126
 
2.6%
Other values (133) 1986
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2327
47.2%
Decimal Number 2090
42.4%
Dash Punctuation 430
 
8.7%
Close Punctuation 31
 
0.6%
Open Punctuation 31
 
0.6%
Space Separator 19
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
크 253
 
10.9%
충 130
 
5.6%
남 130
 
5.6%
테 128
 
5.5%
파 126
 
5.4%
노 126
 
5.4%
학 113
 
4.9%
국 101
 
4.3%
교 96
 
4.1%
대 90
 
3.9%
Other values (119) 1034
44.4%
Decimal Number
ValueCountFrequency (%)
0 594
28.4%
1 500
23.9%
2 368
17.6%
3 283
13.5%
5 70
 
3.3%
9 64
 
3.1%
6 59
 
2.8%
4 56
 
2.7%
7 48
 
2.3%
8 48
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 430
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Space Separator
ValueCountFrequency (%)
19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2601
52.8%
Hangul 2327
47.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
크 253
 
10.9%
충 130
 
5.6%
남 130
 
5.6%
테 128
 
5.5%
파 126
 
5.4%
노 126
 
5.4%
학 113
 
4.9%
국 101
 
4.3%
교 96
 
4.1%
대 90
 
3.9%
Other values (119) 1034
44.4%
Common
ValueCountFrequency (%)
0 594
22.8%
1 500
19.2%
- 430
16.5%
2 368
14.1%
3 283
10.9%
5 70
 
2.7%
9 64
 
2.5%
6 59
 
2.3%
4 56
 
2.2%
7 48
 
1.8%
Other values (4) 129
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2601
52.8%
Hangul 2327
47.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 594
22.8%
1 500
19.2%
- 430
16.5%
2 368
14.1%
3 283
10.9%
5 70
 
2.7%
9 64
 
2.5%
6 59
 
2.3%
4 56
 
2.2%
7 48
 
1.8%
Other values (4) 129
 
5.0%
Hangul
ValueCountFrequency (%)
크 253
 
10.9%
충 130
 
5.6%
남 130
 
5.6%
테 128
 
5.5%
파 126
 
5.4%
노 126
 
5.4%
학 113
 
4.9%
국 101
 
4.3%
교 96
 
4.1%
대 90
 
3.9%
Other values (119) 1034
44.4%

주소
Text

MISSING 

Distinct178
Distinct (%)24.7%
Missing9278
Missing (%)92.8%
Memory size156.2 KiB
2024-01-10T06:05:46.286704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length39
Mean length15.030471
Min length2

Characters and Unicode

Total characters10852
Distinct characters211
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

Unique109 ?
Unique (%)15.1%

Sample

1st row충청남도 천안시 동남구 풍세면 풍세로 303(용정리)
2nd row서울특별시 금천구 가산디지털1로 199한국건설생활환경시험연구원
3rd row119-82-01008
4th row312-82-06577
5th row106-82-12299
ValueCountFrequency (%)
충청남도 156
 
9.8%
312-82-06577 125
 
7.8%
천안시 99
 
6.2%
동남구 69
 
4.3%
충남테크노파크 63
 
4.0%
풍세면 58
 
3.6%
풍세로 56
 
3.5%
303(용정리 56
 
3.5%
아산시 32
 
2.0%
서북구 30
 
1.9%
Other values (269) 849
53.3%
2024-01-10T06:05:46.668162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1094
 
10.1%
871
 
8.0%
- 779
 
7.2%
2 666
 
6.1%
0 567
 
5.2%
3 434
 
4.0%
7 376
 
3.5%
남 323
 
3.0%
8 322
 
3.0%
6 271
 
2.5%
Other values (201) 5149
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4766
43.9%
Decimal Number 4173
38.5%
Space Separator 871
 
8.0%
Dash Punctuation 779
 
7.2%
Open Punctuation 121
 
1.1%
Close Punctuation 121
 
1.1%
Uppercase Letter 15
 
0.1%
Lowercase Letter 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 323
 
6.8%
충 245
 
5.1%
시 171
 
3.6%
청 171
 
3.6%
크 168
 
3.5%
도 162
 
3.4%
산 159
 
3.3%
학 158
 
3.3%
로 156
 
3.3%
구 152
 
3.2%
Other values (181) 2901
60.9%
Decimal Number
ValueCountFrequency (%)
1 1094
26.2%
2 666
16.0%
0 567
13.6%
3 434
 
10.4%
7 376
 
9.0%
8 322
 
7.7%
6 271
 
6.5%
5 191
 
4.6%
9 142
 
3.4%
4 110
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
L 7
46.7%
M 4
26.7%
B 3
20.0%
S 1
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
o 3
50.0%
t 3
50.0%
Space Separator
ValueCountFrequency (%)
871
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 779
100.0%
Open Punctuation
ValueCountFrequency (%)
( 121
100.0%
Close Punctuation
ValueCountFrequency (%)
) 121
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6065
55.9%
Hangul 4766
43.9%
Latin 21
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 323
 
6.8%
충 245
 
5.1%
시 171
 
3.6%
청 171
 
3.6%
크 168
 
3.5%
도 162
 
3.4%
산 159
 
3.3%
학 158
 
3.3%
로 156
 
3.3%
구 152
 
3.2%
Other values (181) 2901
60.9%
Common
ValueCountFrequency (%)
1 1094
18.0%
871
14.4%
- 779
12.8%
2 666
11.0%
0 567
9.3%
3 434
 
7.2%
7 376
 
6.2%
8 322
 
5.3%
6 271
 
4.5%
5 191
 
3.1%
Other values (4) 494
8.1%
Latin
ValueCountFrequency (%)
L 7
33.3%
M 4
19.0%
o 3
14.3%
t 3
14.3%
B 3
14.3%
S 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6086
56.1%
Hangul 4766
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1094
18.0%
871
14.3%
- 779
12.8%
2 666
10.9%
0 567
9.3%
3 434
 
7.1%
7 376
 
6.2%
8 322
 
5.3%
6 271
 
4.5%
5 191
 
3.1%
Other values (10) 515
8.5%
Hangul
ValueCountFrequency (%)
남 323
 
6.8%
충 245
 
5.1%
시 171
 
3.6%
청 171
 
3.6%
크 168
 
3.5%
도 162
 
3.4%
산 159
 
3.3%
학 158
 
3.3%
로 156
 
3.3%
구 152
 
3.2%
Other values (181) 2901
60.9%

지역
Text

MISSING 

Distinct90
Distinct (%)14.3%
Missing9371
Missing (%)93.7%
Memory size156.2 KiB
2024-01-10T06:05:46.830805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length6.127186
Min length2

Characters and Unicode

Total characters3854
Distinct characters102
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

Unique48 ?
Unique (%)7.6%

Sample

1st row충남
2nd row서울
3rd row31056
4th row31035
5th row31116
ValueCountFrequency (%)
충남 156
24.7%
31035 125
19.8%
312-82-06577 63
10.0%
106-82-12299 28
 
4.4%
31116 26
 
4.1%
26
 
4.1%
31056 22
 
3.5%
31538 20
 
3.2%
충남테크노파크 9
 
1.4%
31460 8
 
1.3%
Other values (82) 148
23.5%
2024-01-10T06:05:47.108288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 813
21.1%
3 506
13.1%
- 398
10.3%
2 301
 
7.8%
0 299
 
7.8%
5 269
 
7.0%
8 188
 
4.9%
충 169
 
4.4%
남 169
 
4.4%
6 167
 
4.3%
Other values (92) 575
14.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2829
73.4%
Other Letter 600
 
15.6%
Dash Punctuation 398
 
10.3%
Close Punctuation 11
 
0.3%
Open Punctuation 11
 
0.3%
Space Separator 2
 
0.1%
Uppercase Letter 2
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
충 169
28.2%
남 169
28.2%
크 18
 
3.0%
학 15
 
2.5%
교 14
 
2.3%
대 14
 
2.3%
주 13
 
2.2%
국 10
 
1.7%
파 9
 
1.5%
노 9
 
1.5%
Other values (75) 160
26.7%
Decimal Number
ValueCountFrequency (%)
1 813
28.7%
3 506
17.9%
2 301
 
10.6%
0 299
 
10.6%
5 269
 
9.5%
8 188
 
6.6%
6 167
 
5.9%
7 159
 
5.6%
9 72
 
2.5%
4 55
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 398
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3251
84.4%
Hangul 601
 
15.6%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 169
28.1%
남 169
28.1%
크 18
 
3.0%
학 15
 
2.5%
교 14
 
2.3%
대 14
 
2.3%
주 13
 
2.2%
국 10
 
1.7%
파 9
 
1.5%
노 9
 
1.5%
Other values (76) 161
26.8%
Common
ValueCountFrequency (%)
1 813
25.0%
3 506
15.6%
- 398
12.2%
2 301
 
9.3%
0 299
 
9.2%
5 269
 
8.3%
8 188
 
5.8%
6 167
 
5.1%
7 159
 
4.9%
9 72
 
2.2%
Other values (4) 79
 
2.4%
Latin
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3253
84.4%
Hangul 600
 
15.6%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 813
25.0%
3 506
15.6%
- 398
12.2%
2 301
 
9.3%
0 299
 
9.2%
5 269
 
8.3%
8 188
 
5.8%
6 167
 
5.1%
7 159
 
4.9%
9 72
 
2.2%
Other values (6) 81
 
2.5%
Hangul
ValueCountFrequency (%)
충 169
28.2%
남 169
28.2%
크 18
 
3.0%
학 15
 
2.5%
교 14
 
2.3%
대 14
 
2.3%
주 13
 
2.2%
국 10
 
1.7%
파 9
 
1.5%
노 9
 
1.5%
Other values (75) 160
26.7%
None
ValueCountFrequency (%)
㈜ 1
100.0%

설치기관 유형
Text

MISSING 

Distinct69
Distinct (%)11.6%
Missing9404
Missing (%)94.0%
Memory size156.2 KiB
2024-01-10T06:05:47.328680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length39
Mean length18.706376
Min length2

Characters and Unicode

Total characters11149
Distinct characters173
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)4.9%

Sample

1st row국?공립 연구기관
2nd row기타
3rd row충청남도 천안시 서북구 입장면 양대기로길 89한국생산기술연구원
4th row충청남도 천안시 서북구 직산읍 직산로 136충남테크노파크
5th row충청남도 천안시 동남구 단대로 119 (안서동)단국대학교 천안캠퍼스
ValueCountFrequency (%)
충청남도 259
 
12.2%
천안시 208
 
9.8%
서북구 152
 
7.2%
직산읍 125
 
5.9%
직산로 125
 
5.9%
136충남테크노파크 125
 
5.9%
연구기관 86
 
4.1%
국?공립 67
 
3.2%
31035 63
 
3.0%
동남구 56
 
2.6%
Other values (146) 857
40.4%
2024-01-10T06:05:47.698786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1527
 
13.7%
1 608
 
5.5%
남 449
 
4.0%
충 397
 
3.6%
3 395
 
3.5%
산 362
 
3.2%
구 338
 
3.0%
천 290
 
2.6%
시 272
 
2.4%
도 270
 
2.4%
Other values (163) 6241
56.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7431
66.7%
Decimal Number 1884
 
16.9%
Space Separator 1527
 
13.7%
Dash Punctuation 93
 
0.8%
Open Punctuation 72
 
0.6%
Close Punctuation 72
 
0.6%
Other Punctuation 70
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 449
 
6.0%
충 397
 
5.3%
산 362
 
4.9%
구 338
 
4.5%
천 290
 
3.9%
시 272
 
3.7%
도 270
 
3.6%
안 267
 
3.6%
로 267
 
3.6%
청 264
 
3.6%
Other values (148) 4255
57.3%
Decimal Number
ValueCountFrequency (%)
1 608
32.3%
3 395
21.0%
6 206
 
10.9%
0 144
 
7.6%
2 139
 
7.4%
5 104
 
5.5%
4 87
 
4.6%
9 78
 
4.1%
8 65
 
3.5%
7 58
 
3.1%
Space Separator
ValueCountFrequency (%)
1527
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 93
100.0%
Open Punctuation
ValueCountFrequency (%)
( 72
100.0%
Close Punctuation
ValueCountFrequency (%)
) 72
100.0%
Other Punctuation
ValueCountFrequency (%)
? 70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7431
66.7%
Common 3718
33.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 449
 
6.0%
충 397
 
5.3%
산 362
 
4.9%
구 338
 
4.5%
천 290
 
3.9%
시 272
 
3.7%
도 270
 
3.6%
안 267
 
3.6%
로 267
 
3.6%
청 264
 
3.6%
Other values (148) 4255
57.3%
Common
ValueCountFrequency (%)
1527
41.1%
1 608
 
16.4%
3 395
 
10.6%
6 206
 
5.5%
0 144
 
3.9%
2 139
 
3.7%
5 104
 
2.8%
- 93
 
2.5%
4 87
 
2.3%
9 78
 
2.1%
Other values (5) 337
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7431
66.7%
ASCII 3718
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1527
41.1%
1 608
 
16.4%
3 395
 
10.6%
6 206
 
5.5%
0 144
 
3.9%
2 139
 
3.7%
5 104
 
2.8%
- 93
 
2.5%
4 87
 
2.3%
9 78
 
2.1%
Other values (5) 337
 
9.1%
Hangul
ValueCountFrequency (%)
남 449
 
6.0%
충 397
 
5.3%
산 362
 
4.9%
구 338
 
4.5%
천 290
 
3.9%
시 272
 
3.7%
도 270
 
3.6%
안 267
 
3.6%
로 267
 
3.6%
청 264
 
3.6%
Other values (148) 4255
57.3%

설치기관명
Text

MISSING 

Distinct75
Distinct (%)12.7%
Missing9409
Missing (%)94.1%
Memory size156.2 KiB
2024-01-10T06:05:47.904006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length40
Mean length10.912014
Min length2

Characters and Unicode

Total characters6449
Distinct characters191
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

Unique36 ?
Unique (%)6.1%

Sample

1st row한국자동차연구원
2nd row(재)한국건설생활환경시험연구원
3rd row충남
4th row충남
5th row충남
ValueCountFrequency (%)
충남 259
19.5%
충청남도 128
 
9.6%
천안시 105
 
7.9%
서북구 70
 
5.3%
직산읍 64
 
4.8%
직산로 64
 
4.8%
136충남테크노파크 64
 
4.8%
한국자동차연구원 56
 
4.2%
산학협력단 38
 
2.9%
동남구 35
 
2.6%
Other values (128) 448
33.7%
2024-01-10T06:05:48.276712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
740
 
11.5%
남 495
 
7.7%
충 463
 
7.2%
산 222
 
3.4%
구 195
 
3.0%
1 173
 
2.7%
안 172
 
2.7%
학 157
 
2.4%
천 149
 
2.3%
크 144
 
2.2%
Other values (181) 3539
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5063
78.5%
Space Separator 740
 
11.5%
Decimal Number 509
 
7.9%
Open Punctuation 63
 
1.0%
Close Punctuation 63
 
1.0%
Uppercase Letter 10
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 495
 
9.8%
충 463
 
9.1%
산 222
 
4.4%
구 195
 
3.9%
안 172
 
3.4%
학 157
 
3.1%
천 149
 
2.9%
크 144
 
2.8%
대 142
 
2.8%
도 136
 
2.7%
Other values (160) 2788
55.1%
Decimal Number
ValueCountFrequency (%)
1 173
34.0%
3 106
20.8%
6 89
17.5%
9 34
 
6.7%
2 34
 
6.7%
0 30
 
5.9%
5 17
 
3.3%
7 12
 
2.4%
4 9
 
1.8%
8 5
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
T 2
20.0%
C 2
20.0%
I 2
20.0%
L 1
10.0%
S 1
10.0%
E 1
10.0%
P 1
10.0%
Space Separator
ValueCountFrequency (%)
740
100.0%
Open Punctuation
ValueCountFrequency (%)
( 63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5063
78.5%
Common 1376
 
21.3%
Latin 10
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 495
 
9.8%
충 463
 
9.1%
산 222
 
4.4%
구 195
 
3.9%
안 172
 
3.4%
학 157
 
3.1%
천 149
 
2.9%
크 144
 
2.8%
대 142
 
2.8%
도 136
 
2.7%
Other values (160) 2788
55.1%
Common
ValueCountFrequency (%)
740
53.8%
1 173
 
12.6%
3 106
 
7.7%
6 89
 
6.5%
( 63
 
4.6%
) 63
 
4.6%
9 34
 
2.5%
2 34
 
2.5%
0 30
 
2.2%
5 17
 
1.2%
Other values (4) 27
 
2.0%
Latin
ValueCountFrequency (%)
T 2
20.0%
C 2
20.0%
I 2
20.0%
L 1
10.0%
S 1
10.0%
E 1
10.0%
P 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5063
78.5%
ASCII 1386
 
21.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
740
53.4%
1 173
 
12.5%
3 106
 
7.6%
6 89
 
6.4%
( 63
 
4.5%
) 63
 
4.5%
9 34
 
2.5%
2 34
 
2.5%
0 30
 
2.2%
5 17
 
1.2%
Other values (11) 37
 
2.7%
Hangul
ValueCountFrequency (%)
남 495
 
9.8%
충 463
 
9.1%
산 222
 
4.4%
구 195
 
3.9%
안 172
 
3.4%
학 157
 
3.1%
천 149
 
2.9%
크 144
 
2.8%
대 142
 
2.8%
도 136
 
2.7%
Other values (160) 2788
55.1%

사업자번호.1
Text

MISSING 

Distinct171
Distinct (%)26.7%
Missing9359
Missing (%)93.6%
Memory size156.2 KiB
2024-01-10T06:05:48.573945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length37
Mean length6.3307332
Min length2

Characters and Unicode

Total characters4058
Distinct characters188
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

Unique97 ?
Unique (%)15.1%

Sample

1st row312-82-04676
2nd row111-11-11137
3rd row김경수
4th row김희섭
5th row김해원
ValueCountFrequency (%)
충남 128
 
16.6%
김희섭 71
 
9.2%
312-82-04676 56
 
7.3%
충청남도 23
 
3.0%
장이섭 20
 
2.6%
312-82-10256 17
 
2.2%
천안시 15
 
1.9%
장원철 11
 
1.4%
맹주양 11
 
1.4%
직산로 9
 
1.2%
Other values (196) 411
53.2%
2024-01-10T06:05:49.010578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 396
 
9.8%
- 337
 
8.3%
2 302
 
7.4%
0 238
 
5.9%
8 195
 
4.8%
6 177
 
4.4%
남 169
 
4.2%
3 165
 
4.1%
충 161
 
4.0%
김 133
 
3.3%
Other values (178) 1785
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1787
44.0%
Decimal Number 1768
43.6%
Dash Punctuation 337
 
8.3%
Space Separator 131
 
3.2%
Open Punctuation 12
 
0.3%
Close Punctuation 12
 
0.3%
Uppercase Letter 11
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 169
 
9.5%
충 161
 
9.0%
김 133
 
7.4%
섭 93
 
5.2%
희 79
 
4.4%
이 49
 
2.7%
장 33
 
1.8%
서 32
 
1.8%
산 30
 
1.7%
안 29
 
1.6%
Other values (155) 979
54.8%
Decimal Number
ValueCountFrequency (%)
1 396
22.4%
2 302
17.1%
0 238
13.5%
8 195
11.0%
6 177
10.0%
3 165
9.3%
4 103
 
5.8%
7 103
 
5.8%
5 45
 
2.5%
9 44
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
N 2
18.2%
O 2
18.2%
G 1
9.1%
S 1
9.1%
U 1
9.1%
H 1
9.1%
C 1
9.1%
I 1
9.1%
M 1
9.1%
Dash Punctuation
ValueCountFrequency (%)
- 337
100.0%
Space Separator
ValueCountFrequency (%)
131
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2260
55.7%
Hangul 1787
44.0%
Latin 11
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 169
 
9.5%
충 161
 
9.0%
김 133
 
7.4%
섭 93
 
5.2%
희 79
 
4.4%
이 49
 
2.7%
장 33
 
1.8%
서 32
 
1.8%
산 30
 
1.7%
안 29
 
1.6%
Other values (155) 979
54.8%
Common
ValueCountFrequency (%)
1 396
17.5%
- 337
14.9%
2 302
13.4%
0 238
10.5%
8 195
8.6%
6 177
7.8%
3 165
7.3%
131
 
5.8%
4 103
 
4.6%
7 103
 
4.6%
Other values (4) 113
 
5.0%
Latin
ValueCountFrequency (%)
N 2
18.2%
O 2
18.2%
G 1
9.1%
S 1
9.1%
U 1
9.1%
H 1
9.1%
C 1
9.1%
I 1
9.1%
M 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2271
56.0%
Hangul 1787
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 396
17.4%
- 337
14.8%
2 302
13.3%
0 238
10.5%
8 195
8.6%
6 177
7.8%
3 165
7.3%
131
 
5.8%
4 103
 
4.5%
7 103
 
4.5%
Other values (13) 124
 
5.5%
Hangul
ValueCountFrequency (%)
남 169
 
9.5%
충 161
 
9.0%
김 133
 
7.4%
섭 93
 
5.2%
희 79
 
4.4%
이 49
 
2.7%
장 33
 
1.8%
서 32
 
1.8%
산 30
 
1.7%
안 29
 
1.6%
Other values (155) 979
54.8%

우편번호.1
Text

MISSING 

Distinct102
Distinct (%)22.2%
Missing9540
Missing (%)95.4%
Memory size156.2 KiB
2024-01-10T06:05:49.256001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.923913
Min length2

Characters and Unicode

Total characters1805
Distinct characters106
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)12.6%

Sample

1st row31214
2nd row31900
3rd row2020
4th row박창해
5th row31080
ValueCountFrequency (%)
2020 114
24.8%
31214 59
 
12.8%
김무강 27
 
5.9%
충남 23
 
5.0%
31499 18
 
3.9%
김희섭 17
 
3.7%
32992 12
 
2.6%
32422 12
 
2.6%
31056 8
 
1.7%
31460 8
 
1.7%
Other values (92) 162
35.2%
2024-01-10T06:05:49.939906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 377
20.9%
0 279
15.5%
1 201
11.1%
3 174
 
9.6%
4 112
 
6.2%
9 69
 
3.8%
김 65
 
3.6%
6 36
 
2.0%
강 29
 
1.6%
5 28
 
1.6%
Other values (96) 435
24.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1296
71.8%
Other Letter 509
 
28.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 65
 
12.8%
강 29
 
5.7%
무 27
 
5.3%
남 26
 
5.1%
섭 24
 
4.7%
충 23
 
4.5%
희 19
 
3.7%
이 17
 
3.3%
장 14
 
2.8%
정 13
 
2.6%
Other values (86) 252
49.5%
Decimal Number
ValueCountFrequency (%)
2 377
29.1%
0 279
21.5%
1 201
15.5%
3 174
13.4%
4 112
 
8.6%
9 69
 
5.3%
6 36
 
2.8%
5 28
 
2.2%
8 13
 
1.0%
7 7
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
Common 1296
71.8%
Hangul 509
 
28.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 65
 
12.8%
강 29
 
5.7%
무 27
 
5.3%
남 26
 
5.1%
섭 24
 
4.7%
충 23
 
4.5%
희 19
 
3.7%
이 17
 
3.3%
장 14
 
2.8%
정 13
 
2.6%
Other values (86) 252
49.5%
Common
ValueCountFrequency (%)
2 377
29.1%
0 279
21.5%
1 201
15.5%
3 174
13.4%
4 112
 
8.6%
9 69
 
5.3%
6 36
 
2.8%
5 28
 
2.2%
8 13
 
1.0%
7 7
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1296
71.8%
Hangul 509
 
28.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 377
29.1%
0 279
21.5%
1 201
15.5%
3 174
13.4%
4 112
 
8.6%
9 69
 
5.3%
6 36
 
2.8%
5 28
 
2.2%
8 13
 
1.0%
7 7
 
0.5%
Hangul
ValueCountFrequency (%)
김 65
 
12.8%
강 29
 
5.7%
무 27
 
5.3%
남 26
 
5.1%
섭 24
 
4.7%
충 23
 
4.5%
희 19
 
3.7%
이 17
 
3.3%
장 14
 
2.8%
정 13
 
2.6%
Other values (86) 252
49.5%

주소.1
Text

MISSING 

Distinct68
Distinct (%)18.2%
Missing9627
Missing (%)96.3%
Memory size156.2 KiB
2024-01-10T06:05:50.148766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length35
Mean length16.158177
Min length3

Characters and Unicode

Total characters6027
Distinct characters161
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)10.2%

Sample

1st row충청남도 천안시 동남구 풍세면 풍세로 303자동차부품연구원 신뢰성실험동
2nd row충청남도 서산시 대산읍 평신1로 595-10463-4
3rd row2000
4th row2020
5th row충청남도 천안시 서북구 부대동 275 공주대학교천안공과대학
ValueCountFrequency (%)
충청남도 164
 
13.7%
천안시 89
 
7.4%
2020 79
 
6.6%
2000 74
 
6.2%
동남구 72
 
6.0%
풍세면 59
 
4.9%
풍세로 57
 
4.8%
303자동차부품연구원 57
 
4.8%
신뢰성실험동 56
 
4.7%
아산시 30
 
2.5%
Other values (139) 459
38.4%
2024-01-10T06:05:50.482092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
823
 
13.7%
0 535
 
8.9%
2 333
 
5.5%
남 242
 
4.0%
동 225
 
3.7%
충 169
 
2.8%
도 168
 
2.8%
청 164
 
2.7%
구 164
 
2.7%
시 154
 
2.6%
Other values (151) 3050
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3720
61.7%
Decimal Number 1388
 
23.0%
Space Separator 825
 
13.7%
Close Punctuation 33
 
0.5%
Open Punctuation 33
 
0.5%
Dash Punctuation 27
 
0.4%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 242
 
6.5%
동 225
 
6.0%
충 169
 
4.5%
도 168
 
4.5%
청 164
 
4.4%
구 164
 
4.4%
시 154
 
4.1%
로 139
 
3.7%
풍 118
 
3.2%
세 118
 
3.2%
Other values (135) 2059
55.3%
Decimal Number
ValueCountFrequency (%)
0 535
38.5%
2 333
24.0%
1 142
 
10.2%
3 137
 
9.9%
5 54
 
3.9%
7 51
 
3.7%
9 51
 
3.7%
6 40
 
2.9%
4 25
 
1.8%
8 20
 
1.4%
Space Separator
ValueCountFrequency (%)
823
99.8%
　 2
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3720
61.7%
Common 2307
38.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 242
 
6.5%
동 225
 
6.0%
충 169
 
4.5%
도 168
 
4.5%
청 164
 
4.4%
구 164
 
4.4%
시 154
 
4.1%
로 139
 
3.7%
풍 118
 
3.2%
세 118
 
3.2%
Other values (135) 2059
55.3%
Common
ValueCountFrequency (%)
823
35.7%
0 535
23.2%
2 333
14.4%
1 142
 
6.2%
3 137
 
5.9%
5 54
 
2.3%
7 51
 
2.2%
9 51
 
2.2%
6 40
 
1.7%
) 33
 
1.4%
Other values (6) 108
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3720
61.7%
ASCII 2305
38.2%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
823
35.7%
0 535
23.2%
2 333
14.4%
1 142
 
6.2%
3 137
 
5.9%
5 54
 
2.3%
7 51
 
2.2%
9 51
 
2.2%
6 40
 
1.7%
) 33
 
1.4%
Other values (5) 106
 
4.6%
Hangul
ValueCountFrequency (%)
남 242
 
6.5%
동 225
 
6.0%
충 169
 
4.5%
도 168
 
4.5%
청 164
 
4.4%
구 164
 
4.4%
시 154
 
4.1%
로 139
 
3.7%
풍 118
 
3.2%
세 118
 
3.2%
Other values (135) 2059
55.3%
None
ValueCountFrequency (%)
　 2
100.0%

지역.1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9708
Missing (%)97.1%
Memory size156.2 KiB

설치장소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9868
Missing (%)98.7%
Memory size156.2 KiB

설치층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9846
Missing (%)98.5%
Memory size156.2 KiB

설치호실
Categorical

IMBALANCE 

Distinct30
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9922 
8
 
22
보조장비
 
15
24
 
4
단독 활용 장비
 
3
Other values (25)
 
34

Length

Max length8
Median length4
Mean length3.9897
Min length1

Unique

Unique17 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9922
99.2%
8 22
 
0.2%
보조장비 15
 
0.1%
24 4
 
< 0.1%
단독 활용 장비 3
 
< 0.1%
4 3
 
< 0.1%
유휴 2
 
< 0.1%
103 2
 
< 0.1%
N308 2
 
< 0.1%
활용관리 제외 2
 
< 0.1%
Other values (20) 23
 
0.2%

Length

2024-01-10T06:05:50.619564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9922
99.1%
8 22
 
0.2%
보조장비 15
 
0.1%
단독 5
 
< 0.1%
24 4
 
< 0.1%
활용 3
 
< 0.1%
장비 3
 
< 0.1%
4 3
 
< 0.1%
제외 2
 
< 0.1%
7 2
 
< 0.1%
Other values (22) 27
 
0.3%

대상년도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9801
Missing (%)98.0%
Memory size156.2 KiB

전담기관명(과제관리전문기관명)
Categorical

IMBALANCE 

Distinct33
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9809 
활용
 
84
한국산업기술진흥원
 
26
한국산업기술평가관리원
 
25
저활용
 
7
Other values (28)
 
49

Length

Max length17
Median length4
Mean length4.0311
Min length2

Unique

Unique20 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9809
98.1%
활용 84
 
0.8%
한국산업기술진흥원 26
 
0.3%
한국산업기술평가관리원 25
 
0.2%
저활용 7
 
0.1%
한국산업기술평가원 6
 
0.1%
유휴 6
 
0.1%
한국에너지기술평가원 5
 
0.1%
보조장비 3
 
< 0.1%
중소벤처기업부 한국산업기술진흥원 3
 
< 0.1%
Other values (23) 26
 
0.3%

Length

2024-01-10T06:05:50.763513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9809
98.0%
활용 86
 
0.9%
한국산업기술진흥원 29
 
0.3%
한국산업기술평가관리원 25
 
0.2%
저활용 7
 
0.1%
한국산업기술평가원 6
 
0.1%
유휴 6
 
0.1%
한국에너지기술평가원 5
 
< 0.1%
보조장비 3
 
< 0.1%
중소벤처기업부 3
 
< 0.1%
Other values (24) 28
 
0.3%

과제번호
Categorical

IMBALANCE 

Distinct46
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9787 
계속사용
 
98
활용
 
39
B0008315
 
12
B008552
 
4
Other values (41)
 
60

Length

Max length22
Median length4
Mean length4.0281
Min length2

Unique

Unique31 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9787
97.9%
계속사용 98
 
1.0%
활용 39
 
0.4%
B0008315 12
 
0.1%
B008552 4
 
< 0.1%
M0000123 4
 
< 0.1%
1410043885 4
 
< 0.1%
b0010882 3
 
< 0.1%
저활용 3
 
< 0.1%
S3006014 3
 
< 0.1%
Other values (36) 43
 
0.4%

Length

2024-01-10T06:05:50.892497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9787
97.9%
계속사용 98
 
1.0%
활용 39
 
0.4%
b0008315 12
 
0.1%
b008552 4
 
< 0.1%
m0000123 4
 
< 0.1%
1410043885 4
 
< 0.1%
s3006014 3
 
< 0.1%
2010201010006a 3
 
< 0.1%
저활용 3
 
< 0.1%
Other values (36) 43
 
0.4%

과제유형
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9859 
계속사용
 
47
기반조성
 
46
기술개발
 
38
폐기
 
3
Other values (3)
 
7

Length

Max length32
Median length4
Mean length4.0022
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9859
98.6%
계속사용 47
 
0.5%
기반조성 46
 
0.5%
기술개발 38
 
0.4%
폐기 3
 
< 0.1%
활용 3
 
< 0.1%
지역기반조성 3
 
< 0.1%
충청남도 논산시 대학로 121 (내동)건양대학교 산학협력단 1
 
< 0.1%

Length

2024-01-10T06:05:51.010639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:05:51.111392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9859
98.5%
계속사용 47
 
0.5%
기반조성 46
 
0.5%
기술개발 38
 
0.4%
폐기 3
 
< 0.1%
활용 3
 
< 0.1%
지역기반조성 3
 
< 0.1%
충청남도 1
 
< 0.1%
논산시 1
 
< 0.1%
대학로 1
 
< 0.1%
Other values (3) 3
 
< 0.1%

6T분류
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9929 
NT
 
20
IT
 
13
ET
 
12
기타
 
9
Other values (5)
 
17

Length

Max length4
Median length4
Mean length3.9868
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9929
99.3%
NT 20
 
0.2%
IT 13
 
0.1%
ET 12
 
0.1%
기타 9
 
0.1%
BT 6
 
0.1%
계속사용 5
 
0.1%
CT 4
 
< 0.1%
ST 1
 
< 0.1%
충남 1
 
< 0.1%

Length

2024-01-10T06:05:51.236500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:05:51.356010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9929
99.3%
nt 20
 
0.2%
it 13
 
0.1%
et 12
 
0.1%
기타 9
 
0.1%
bt 6
 
0.1%
계속사용 5
 
< 0.1%
ct 4
 
< 0.1%
st 1
 
< 0.1%
충남 1
 
< 0.1%

5대 중점 투자분야
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9966 
주력기간산업기술고도화
 
16
기초/기반/융합 기술개발 활성화
 
7
국가주도기술핵심역량 확보
 
4
글로벌 이슈대응 연구개발추진
 
3
Other values (2)
 
4

Length

Max length17
Median length4
Mean length4.0278
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9966
99.7%
주력기간산업기술고도화 16
 
0.2%
기초/기반/융합 기술개발 활성화 7
 
0.1%
국가주도기술핵심역량 확보 4
 
< 0.1%
글로벌 이슈대응 연구개발추진 3
 
< 0.1%
기타 3
 
< 0.1%
신산업 창출 핵심기술 개발강화 1
 
< 0.1%

Length

2024-01-10T06:05:51.486215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:05:51.613652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9966
99.4%
주력기간산업기술고도화 16
 
0.2%
기초/기반/융합 7
 
0.1%
기술개발 7
 
0.1%
활성화 7
 
0.1%
국가주도기술핵심역량 4
 
< 0.1%
확보 4
 
< 0.1%
글로벌 3
 
< 0.1%
이슈대응 3
 
< 0.1%
연구개발추진 3
 
< 0.1%
Other values (5) 7
 
0.1%

사업명
Text

MISSING 

Distinct53
Distinct (%)47.3%
Missing9888
Missing (%)98.9%
Memory size156.2 KiB
2024-01-10T06:05:51.833711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length29
Mean length13.633929
Min length6

Characters and Unicode

Total characters1527
Distinct characters173
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)31.2%

Sample

1st row공동연구장비구축(구 산업기술기반구축)
2nd row에너지자원융합원천기술개발
3rd row지역혁신센터조성사업
4th rowHEV용에너저저장시스템기능검증및평가기술개발(1/1)
5th row동물약품 R&BD 허브조성사업
ValueCountFrequency (%)
지역혁신센터조성사업 13
 
9.2%
지역산업기반구축사업 12
 
8.5%
단국대전자부품검사자동화지역혁신센터 6
 
4.2%
지역혁신센터 6
 
4.2%
에너지자원융합원천기술개발 6
 
4.2%
지역전략산업육성 4
 
2.8%
산업기술기반조성산업 4
 
2.8%
자카드직물지원센터 4
 
2.8%
설립사업 4
 
2.8%
청정제조기반산업원천기술개발 3
 
2.1%
Other values (65) 80
56.3%
2024-01-10T06:05:52.176502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 100
 
6.5%
기 81
 
5.3%
지 78
 
5.1%
역 59
 
3.9%
산 56
 
3.7%
사 53
 
3.5%
술 47
 
3.1%
성 42
 
2.8%
신 41
 
2.7%
원 36
 
2.4%
Other values (163) 934
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1390
91.0%
Space Separator 30
 
2.0%
Uppercase Letter 24
 
1.6%
Decimal Number 22
 
1.4%
Open Punctuation 16
 
1.0%
Close Punctuation 16
 
1.0%
Other Punctuation 12
 
0.8%
Lowercase Letter 9
 
0.6%
Dash Punctuation 5
 
0.3%
Math Symbol 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 100
 
7.2%
기 81
 
5.8%
지 78
 
5.6%
역 59
 
4.2%
산 56
 
4.0%
사 53
 
3.8%
술 47
 
3.4%
성 42
 
3.0%
신 41
 
2.9%
원 36
 
2.6%
Other values (138) 797
57.3%
Uppercase Letter
ValueCountFrequency (%)
D 6
25.0%
R 5
20.8%
E 3
12.5%
H 2
 
8.3%
V 2
 
8.3%
B 2
 
8.3%
T 1
 
4.2%
I 1
 
4.2%
C 1
 
4.2%
M 1
 
4.2%
Decimal Number
ValueCountFrequency (%)
2 8
36.4%
1 7
31.8%
3 4
18.2%
0 3
 
13.6%
Other Punctuation
ValueCountFrequency (%)
& 5
41.7%
/ 4
33.3%
; 3
25.0%
Lowercase Letter
ValueCountFrequency (%)
p 3
33.3%
m 3
33.3%
a 3
33.3%
Space Separator
ValueCountFrequency (%)
30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1390
91.0%
Common 104
 
6.8%
Latin 33
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 100
 
7.2%
기 81
 
5.8%
지 78
 
5.6%
역 59
 
4.2%
산 56
 
4.0%
사 53
 
3.8%
술 47
 
3.4%
성 42
 
3.0%
신 41
 
2.9%
원 36
 
2.6%
Other values (138) 797
57.3%
Latin
ValueCountFrequency (%)
D 6
18.2%
R 5
15.2%
E 3
9.1%
p 3
9.1%
m 3
9.1%
a 3
9.1%
H 2
 
6.1%
V 2
 
6.1%
B 2
 
6.1%
T 1
 
3.0%
Other values (3) 3
9.1%
Common
ValueCountFrequency (%)
30
28.8%
( 16
15.4%
) 16
15.4%
2 8
 
7.7%
1 7
 
6.7%
- 5
 
4.8%
& 5
 
4.8%
3 4
 
3.8%
/ 4
 
3.8%
; 3
 
2.9%
Other values (2) 6
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1390
91.0%
ASCII 137
 
9.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 100
 
7.2%
기 81
 
5.8%
지 78
 
5.6%
역 59
 
4.2%
산 56
 
4.0%
사 53
 
3.8%
술 47
 
3.4%
성 42
 
3.0%
신 41
 
2.9%
원 36
 
2.6%
Other values (138) 797
57.3%
ASCII
ValueCountFrequency (%)
30
21.9%
( 16
11.7%
) 16
11.7%
2 8
 
5.8%
1 7
 
5.1%
D 6
 
4.4%
- 5
 
3.6%
R 5
 
3.6%
& 5
 
3.6%
3 4
 
2.9%
Other values (15) 35
25.5%

과제명
Text

MISSING 

Distinct62
Distinct (%)55.4%
Missing9888
Missing (%)98.9%
Memory size156.2 KiB
2024-01-10T06:05:52.409830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length40
Mean length22
Min length7

Characters and Unicode

Total characters2464
Distinct characters291
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)40.2%

Sample

1st row공업 재료 및 구조물의 옥외 폭로 시험 공동연구 기반 구축
2nd rowkWh급 고전압 초고용량 커패시터 및 모듈 개발
3rd row나노소재 및 응용제품 지역혁신센터
4th rowHEV용에너저저장시스템기능검증및평가기술개발(1/1)
5th row동물약품 원료 시험생산 및 상용화 지원을 위한 동물약품 허브 조성
ValueCountFrequency (%)
및 24
 
6.0%
개발 24
 
6.0%
지역혁신센터 13
 
3.3%
나노소재 12
 
3.0%
응용제품 12
 
3.0%
건양대원격계측기술혁신센터 6
 
1.5%
단국대전자부품검사자동화지역혁신센터 6
 
1.5%
위한 5
 
1.3%
자카드직물지원센터설립사업 4
 
1.0%
친환경 4
 
1.0%
Other values (195) 287
72.3%
2024-01-10T06:05:52.807966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
285
 
11.6%
터 52
 
2.1%
지 52
 
2.1%
기 52
 
2.1%
업 46
 
1.9%
센 45
 
1.8%
신 44
 
1.8%
사 39
 
1.6%
발 38
 
1.5%
용 38
 
1.5%
Other values (281) 1773
72.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1946
79.0%
Space Separator 285
 
11.6%
Lowercase Letter 80
 
3.2%
Uppercase Letter 62
 
2.5%
Decimal Number 40
 
1.6%
Close Punctuation 16
 
0.6%
Open Punctuation 16
 
0.6%
Other Punctuation 14
 
0.6%
Dash Punctuation 4
 
0.2%
Currency Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 52
 
2.7%
지 52
 
2.7%
기 52
 
2.7%
업 46
 
2.4%
센 45
 
2.3%
신 44
 
2.3%
사 39
 
2.0%
발 38
 
2.0%
용 38
 
2.0%
개 37
 
1.9%
Other values (227) 1503
77.2%
Lowercase Letter
ValueCountFrequency (%)
i 9
11.2%
o 9
11.2%
n 7
 
8.8%
e 6
 
7.5%
l 6
 
7.5%
h 6
 
7.5%
a 5
 
6.2%
r 5
 
6.2%
u 4
 
5.0%
k 4
 
5.0%
Other values (10) 19
23.8%
Uppercase Letter
ValueCountFrequency (%)
P 8
12.9%
M 7
11.3%
D 6
9.7%
E 5
 
8.1%
T 4
 
6.5%
S 4
 
6.5%
R 4
 
6.5%
W 4
 
6.5%
V 3
 
4.8%
H 3
 
4.8%
Other values (7) 14
22.6%
Decimal Number
ValueCountFrequency (%)
0 12
30.0%
1 7
17.5%
2 6
15.0%
3 5
12.5%
5 4
 
10.0%
6 3
 
7.5%
8 2
 
5.0%
4 1
 
2.5%
Other Punctuation
ValueCountFrequency (%)
/ 8
57.1%
& 4
28.6%
. 1
 
7.1%
? 1
 
7.1%
Space Separator
ValueCountFrequency (%)
285
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1946
79.0%
Common 376
 
15.3%
Latin 142
 
5.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 52
 
2.7%
지 52
 
2.7%
기 52
 
2.7%
업 46
 
2.4%
센 45
 
2.3%
신 44
 
2.3%
사 39
 
2.0%
발 38
 
2.0%
용 38
 
2.0%
개 37
 
1.9%
Other values (227) 1503
77.2%
Latin
ValueCountFrequency (%)
i 9
 
6.3%
o 9
 
6.3%
P 8
 
5.6%
M 7
 
4.9%
n 7
 
4.9%
e 6
 
4.2%
l 6
 
4.2%
h 6
 
4.2%
D 6
 
4.2%
E 5
 
3.5%
Other values (27) 73
51.4%
Common
ValueCountFrequency (%)
285
75.8%
) 16
 
4.3%
( 16
 
4.3%
0 12
 
3.2%
/ 8
 
2.1%
1 7
 
1.9%
2 6
 
1.6%
3 5
 
1.3%
& 4
 
1.1%
- 4
 
1.1%
Other values (7) 13
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1946
79.0%
ASCII 518
 
21.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
285
55.0%
) 16
 
3.1%
( 16
 
3.1%
0 12
 
2.3%
i 9
 
1.7%
o 9
 
1.7%
/ 8
 
1.5%
P 8
 
1.5%
M 7
 
1.4%
1 7
 
1.4%
Other values (44) 141
27.2%
Hangul
ValueCountFrequency (%)
터 52
 
2.7%
지 52
 
2.7%
기 52
 
2.7%
업 46
 
2.4%
센 45
 
2.3%
신 44
 
2.3%
사 39
 
2.0%
발 38
 
2.0%
용 38
 
2.0%
개 37
 
1.9%
Other values (227) 1503
77.2%

시작일
Categorical

IMBALANCE 

Distinct37
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9888 
--
 
55
2001-01-01
 
6
2012-06-01
 
4
2003-03-01
 
4
Other values (32)
 
43

Length

Max length10
Median length4
Mean length4.0232
Min length2

Unique

Unique24 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9888
98.9%
-- 55
 
0.5%
2001-01-01 6
 
0.1%
2012-06-01 4
 
< 0.1%
2003-03-01 4
 
< 0.1%
2002-01-01 4
 
< 0.1%
2020-09-01 3
 
< 0.1%
2011-01-01 2
 
< 0.1%
1999-01-01 2
 
< 0.1%
2015-09-01 2
 
< 0.1%
Other values (27) 30
 
0.3%

Length

2024-01-10T06:05:52.953353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9888
98.9%
55
 
0.5%
2001-01-01 6
 
0.1%
2012-06-01 4
 
< 0.1%
2003-03-01 4
 
< 0.1%
2002-01-01 4
 
< 0.1%
2020-09-01 3
 
< 0.1%
2011-06-01 2
 
< 0.1%
2002-02-01 2
 
< 0.1%
2010-07-01 2
 
< 0.1%
Other values (27) 30
 
0.3%

종료일
Categorical

IMBALANCE 

Distinct36
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9888 
--
 
55
2011-12-31
 
7
2008-12-31
 
5
2008-02-29
 
4
Other values (31)
 
41

Length

Max length10
Median length4
Mean length4.0232
Min length2

Unique

Unique24 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9888
98.9%
-- 55
 
0.5%
2011-12-31 7
 
0.1%
2008-12-31 5
 
0.1%
2008-02-29 4
 
< 0.1%
2013-05-31 4
 
< 0.1%
2021-08-31 3
 
< 0.1%
2016-08-31 2
 
< 0.1%
2011-06-30 2
 
< 0.1%
2012-05-31 2
 
< 0.1%
Other values (26) 28
 
0.3%

Length

2024-01-10T06:05:53.104199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9888
98.9%
55
 
0.5%
2011-12-31 7
 
0.1%
2008-12-31 5
 
< 0.1%
2008-02-29 4
 
< 0.1%
2013-05-31 4
 
< 0.1%
2021-08-31 3
 
< 0.1%
2012-05-31 2
 
< 0.1%
2003-12-01 2
 
< 0.1%
2010-12-31 2
 
< 0.1%
Other values (26) 28
 
0.3%

주관기관명
Categorical

IMBALANCE 

Distinct34
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9888 
단국대학교
 
45
충남테크노파크
 
18
선문대학교 산학협력단
 
7
건양대학교
 
6
Other values (29)
 
36

Length

Max length14
Median length4
Mean length4.0263
Min length3

Unique

Unique25 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9888
98.9%
단국대학교 45
 
0.4%
충남테크노파크 18
 
0.2%
선문대학교 산학협력단 7
 
0.1%
건양대학교 6
 
0.1%
아모텍 3
 
< 0.1%
(주)로스윈 3
 
< 0.1%
삼성코닝정밀유리 3
 
< 0.1%
한국생산기술연구원 2
 
< 0.1%
한국자동차연구원 1
 
< 0.1%
Other values (24) 24
 
0.2%

Length

2024-01-10T06:05:53.222989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9888
98.8%
단국대학교 45
 
0.4%
충남테크노파크 18
 
0.2%
선문대학교 7
 
0.1%
산학협력단 7
 
0.1%
건양대학교 6
 
0.1%
아모텍 3
 
< 0.1%
주)로스윈 3
 
< 0.1%
삼성코닝정밀유리 3
 
< 0.1%
한국생산기술연구원 2
 
< 0.1%
Other values (26) 26
 
0.3%

사업자번호.2
Categorical

IMBALANCE 

Distinct35
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9832 
--
 
56
106-82-12299
 
45
312-82-06577
 
18
312-82-10144
 
7
Other values (30)
 
42

Length

Max length12
Median length4
Mean length4.0784
Min length2

Unique

Unique25 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9832
98.3%
-- 56
 
0.6%
106-82-12299 45
 
0.4%
312-82-06577 18
 
0.2%
312-82-10144 7
 
0.1%
308-82-06340 6
 
0.1%
312-81-25989 3
 
< 0.1%
513-81-08910 3
 
< 0.1%
111-11-11370 3
 
< 0.1%
119-82-01008 2
 
< 0.1%
Other values (25) 25
 
0.2%

Length

2024-01-10T06:05:53.336955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9832
98.3%
56
 
0.6%
106-82-12299 45
 
0.4%
312-82-06577 18
 
0.2%
312-82-10144 7
 
0.1%
308-82-06340 6
 
0.1%
312-81-25989 3
 
< 0.1%
513-81-08910 3
 
< 0.1%
111-11-11370 3
 
< 0.1%
119-82-01008 2
 
< 0.1%
Other values (25) 25
 
0.2%

우편번호.2
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)13.5%
Missing9911
Missing (%)99.1%
Infinite0
Infinite (%)0.0%
Mean31236.371
Minimum28105
Maximum34028
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T06:05:53.429657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28105
5-th percentile31035
Q131040
median31116
Q331116
95-th percentile33020
Maximum34028
Range5923
Interquartile range (IQR)76

Descriptive statistics

Standard deviation851.11569
Coefficient of variation (CV)0.027247586
Kurtosis6.6362604
Mean31236.371
Median Absolute Deviation (MAD)0
Skewness-0.54751071
Sum2780037
Variance724397.92
MonotonicityNot monotonic
2024-01-10T06:05:53.528395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
31116 45
 
0.4%
31035 18
 
0.2%
31460 7
 
0.1%
33020 6
 
0.1%
28105 3
 
< 0.1%
31040 3
 
< 0.1%
31056 2
 
< 0.1%
34028 1
 
< 0.1%
32422 1
 
< 0.1%
31538 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
(Missing) 9911
99.1%
ValueCountFrequency (%)
28105 3
 
< 0.1%
31035 18
 
0.2%
31040 3
 
< 0.1%
31056 2
 
< 0.1%
31116 45
0.4%
31460 7
 
0.1%
31538 1
 
< 0.1%
32422 1
 
< 0.1%
32588 1
 
< 0.1%
32724 1
 
< 0.1%
ValueCountFrequency (%)
34028 1
 
< 0.1%
33020 6
 
0.1%
32724 1
 
< 0.1%
32588 1
 
< 0.1%
32422 1
 
< 0.1%
31538 1
 
< 0.1%
31460 7
 
0.1%
31116 45
0.4%
31056 2
 
< 0.1%
31040 3
 
< 0.1%

주소.2
Categorical

IMBALANCE 

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9905 
충청남도 천안시 동남구 단대로 119 (안서동)단국대학교 천안캠퍼스
 
45
충청남도 천안시 서북구 직산읍 직산로 136충남테크노파크
 
18
충청남도 아산시 탕정면 선문로221번길 70선문대학교 산학협력단
 
7
충청남도 논산시 대학로 121 (내동)건양대학교 산학협력단
 
6
Other values (14)
 
19

Length

Max length39
Median length4
Mean length4.2824
Min length4

Unique

Unique11 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9905
99.1%
충청남도 천안시 동남구 단대로 119 (안서동)단국대학교 천안캠퍼스 45
 
0.4%
충청남도 천안시 서북구 직산읍 직산로 136충남테크노파크 18
 
0.2%
충청남도 아산시 탕정면 선문로221번길 70선문대학교 산학협력단 7
 
0.1%
충청남도 논산시 대학로 121 (내동)건양대학교 산학협력단 6
 
0.1%
충청남도 천안시 서북구 직산읍 4산단4로 42 3
 
< 0.1%
충청북도 청주시 청원구 오창읍 용두1길 33 3
 
< 0.1%
충청남도 천안시 서북구 입장면 양대기로길 89한국생산기술연구원 2
 
< 0.1%
충청남도 아산시 배방읍 호서로79번길 20호서대학교 벤처산학협력관 5층 1
 
< 0.1%
대전광역시 유성구 테크노2로 160 (용산동) 1
 
< 0.1%
Other values (9) 9
 
0.1%

Length

2024-01-10T06:05:53.666876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9905
94.2%
충청남도 88
 
0.8%
천안시 69
 
0.7%
동남구 46
 
0.4%
단대로 45
 
0.4%
119 45
 
0.4%
안서동)단국대학교 45
 
0.4%
천안캠퍼스 45
 
0.4%
서북구 23
 
0.2%
직산읍 21
 
0.2%
Other values (70) 185
 
1.8%

지역.2
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9905 
충남
 
88
충북
 
3
서울
 
2
대전
 
1

Length

Max length4
Median length4
Mean length3.981
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9905
99.1%
충남 88
 
0.9%
충북 3
 
< 0.1%
서울 2
 
< 0.1%
대전 1
 
< 0.1%
경기 1
 
< 0.1%

Length

2024-01-10T06:05:53.795919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:05:53.904592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9905
99.1%
충남 88
 
0.9%
충북 3
 
< 0.1%
서울 2
 
< 0.1%
대전 1
 
< 0.1%
경기 1
 
< 0.1%

총괄책임자
Text

MISSING 

Distinct27
Distinct (%)79.4%
Missing9966
Missing (%)99.7%
Memory size156.2 KiB
2024-01-10T06:05:54.073280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters102
Distinct characters55
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)64.7%

Sample

1st row김조웅
2nd row정준환
3rd row장이섭
4th row임경태
5th row강대구
ValueCountFrequency (%)
이성건 3
 
8.8%
정준환 3
 
8.8%
장이섭 2
 
5.9%
김희섭 2
 
5.9%
신한철 2
 
5.9%
최은하 1
 
2.9%
정현욱 1
 
2.9%
공도경 1
 
2.9%
유지상 1
 
2.9%
이성훈 1
 
2.9%
Other values (17) 17
50.0%
2024-01-10T06:05:54.368056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 8
 
7.8%
이 7
 
6.9%
성 5
 
4.9%
정 4
 
3.9%
섭 4
 
3.9%
경 4
 
3.9%
건 3
 
2.9%
준 3
 
2.9%
환 3
 
2.9%
희 3
 
2.9%
Other values (45) 58
56.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 102
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 8
 
7.8%
이 7
 
6.9%
성 5
 
4.9%
정 4
 
3.9%
섭 4
 
3.9%
경 4
 
3.9%
건 3
 
2.9%
준 3
 
2.9%
환 3
 
2.9%
희 3
 
2.9%
Other values (45) 58
56.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 102
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 8
 
7.8%
이 7
 
6.9%
성 5
 
4.9%
정 4
 
3.9%
섭 4
 
3.9%
경 4
 
3.9%
건 3
 
2.9%
준 3
 
2.9%
환 3
 
2.9%
희 3
 
2.9%
Other values (45) 58
56.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 102
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 8
 
7.8%
이 7
 
6.9%
성 5
 
4.9%
정 4
 
3.9%
섭 4
 
3.9%
경 4
 
3.9%
건 3
 
2.9%
준 3
 
2.9%
환 3
 
2.9%
희 3
 
2.9%
Other values (45) 58
56.9%

대상년도.1
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9952 
2020
 
48

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9952
99.5%
2020 48
 
0.5%

Length

2024-01-10T06:05:54.490724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:05:54.579580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9952
99.5%
2020 48
 
0.5%

활용가능시간
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9965 
0
 
15
1000
 
10
2000
 
7
1500
 
2

Length

Max length4
Median length4
Mean length3.9955
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9965
99.7%
0 15
 
0.1%
1000 10
 
0.1%
2000 7
 
0.1%
1500 2
 
< 0.1%
1992 1
 
< 0.1%

Length

2024-01-10T06:05:54.676301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:05:54.775213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9965
99.7%
0 15
 
0.1%
1000 10
 
0.1%
2000 7
 
0.1%
1500 2
 
< 0.1%
1992 1
 
< 0.1%

연도가동시간
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)31.2%
Missing9968
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean149.09375
Minimum0
Maximum882
Zeros19
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T06:05:54.882061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3300
95-th percentile500
Maximum882
Range882
Interquartile range (IQR)300

Descriptive statistics

Standard deviation223.35266
Coefficient of variation (CV)1.4980686
Kurtosis2.2766156
Mean149.09375
Median Absolute Deviation (MAD)0
Skewness1.5706192
Sum4771
Variance49886.41
MonotonicityNot monotonic
2024-01-10T06:05:54.978001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 19
 
0.2%
500 3
 
< 0.1%
300 2
 
< 0.1%
340 2
 
< 0.1%
209 1
 
< 0.1%
100 1
 
< 0.1%
882 1
 
< 0.1%
450 1
 
< 0.1%
150 1
 
< 0.1%
200 1
 
< 0.1%
(Missing) 9968
99.7%
ValueCountFrequency (%)
0 19
0.2%
100 1
 
< 0.1%
150 1
 
< 0.1%
200 1
 
< 0.1%
209 1
 
< 0.1%
300 2
 
< 0.1%
340 2
 
< 0.1%
450 1
 
< 0.1%
500 3
 
< 0.1%
882 1
 
< 0.1%
ValueCountFrequency (%)
882 1
 
< 0.1%
500 3
 
< 0.1%
450 1
 
< 0.1%
340 2
 
< 0.1%
300 2
 
< 0.1%
209 1
 
< 0.1%
200 1
 
< 0.1%
150 1
 
< 0.1%
100 1
 
< 0.1%
0 19
0.2%

연도가동률(%)
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)25.0%
Missing9968
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean11.25
Minimum0
Maximum50
Zeros19
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T06:05:55.076235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q316.25
95-th percentile50
Maximum50
Range50
Interquartile range (IQR)16.25

Descriptive statistics

Standard deviation17.275752
Coefficient of variation (CV)1.5356224
Kurtosis0.54555182
Mean11.25
Median Absolute Deviation (MAD)0
Skewness1.3915428
Sum360
Variance298.45161
MonotonicityNot monotonic
2024-01-10T06:05:55.174723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 19
 
0.2%
10 4
 
< 0.1%
50 3
 
< 0.1%
34 2
 
< 0.1%
20 1
 
< 0.1%
15 1
 
< 0.1%
44 1
 
< 0.1%
23 1
 
< 0.1%
(Missing) 9968
99.7%
ValueCountFrequency (%)
0 19
0.2%
10 4
 
< 0.1%
15 1
 
< 0.1%
20 1
 
< 0.1%
23 1
 
< 0.1%
34 2
 
< 0.1%
44 1
 
< 0.1%
50 3
 
< 0.1%
ValueCountFrequency (%)
50 3
 
< 0.1%
44 1
 
< 0.1%
34 2
 
< 0.1%
23 1
 
< 0.1%
20 1
 
< 0.1%
15 1
 
< 0.1%
10 4
 
< 0.1%
0 19
0.2%

최대가동시간(단위:h)
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9965 
0
 
14
8
 
13
4
 
5
24
 
2

Length

Max length4
Median length4
Mean length3.9897
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9965
99.7%
0 14
 
0.1%
8 13
 
0.1%
4 5
 
0.1%
24 2
 
< 0.1%
6 1
 
< 0.1%

Length

2024-01-10T06:05:55.285976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:05:55.390584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9965
99.7%
0 14
 
0.1%
8 13
 
0.1%
4 5
 
< 0.1%
24 2
 
< 0.1%
6 1
 
< 0.1%

비고
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9978 
불용완료
 
11
보조장비
 
2
노후
 
2
수요 감소
 
2
Other values (5)
 
5

Length

Max length62
Median length4
Mean length4.0073
Min length2

Unique

Unique5 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9978
99.8%
불용완료 11
 
0.1%
보조장비 2
 
< 0.1%
노후 2
 
< 0.1%
수요 감소 2
 
< 0.1%
수리불가 폐기 예정 1
 
< 0.1%
2021년부터 장비 활용 1
 
< 0.1%
불용 1
 
< 0.1%
해당 장비는 기 제품을 제 가공 및 조립하여 프랫폼을 만드는 것으로 가동시간 및 장비 사용료를 산정할 수 없음. 1
 
< 0.1%
단독 활용 장비 1
 
< 0.1%

Length

2024-01-10T06:05:55.516911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:05:55.637994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9978
99.5%
불용완료 11
 
0.1%
장비 3
 
< 0.1%
보조장비 2
 
< 0.1%
노후 2
 
< 0.1%
수요 2
 
< 0.1%
감소 2
 
< 0.1%
및 2
 
< 0.1%
활용 2
 
< 0.1%
것으로 1
 
< 0.1%
Other values (20) 20
 
0.2%

장비사용료 수입실적(원)
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9975 
0
 
21
200000
 
2
20000000
 
2

Length

Max length8
Median length4
Mean length3.9949
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9975
99.8%
0 21
 
0.2%
200000 2
 
< 0.1%
20000000 2
 
< 0.1%

Length

2024-01-10T06:05:55.769409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:05:55.865302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9975
99.8%
0 21
 
0.2%
200000 2
 
< 0.1%
20000000 2
 
< 0.1%

활용상태
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9962 
활용
 
20
불용
 
13
유휴
 
3
저활용
 
2

Length

Max length4
Median length4
Mean length3.9926
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9962
99.6%
활용 20
 
0.2%
불용 13
 
0.1%
유휴 3
 
< 0.1%
저활용 2
 
< 0.1%

Length

2024-01-10T06:05:55.970173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:05:56.076031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9962
99.6%
활용 20
 
0.2%
불용 13
 
0.1%
유휴 3
 
< 0.1%
저활용 2
 
< 0.1%

사용계획
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9958 
계속사용
 
20
폐기
 
19
부품재활용
 
2
타기관이전
 
1

Length

Max length5
Median length4
Mean length3.9965
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9958
99.6%
계속사용 20
 
0.2%
폐기 19
 
0.2%
부품재활용 2
 
< 0.1%
타기관이전 1
 
< 0.1%

Length

2024-01-10T06:05:56.182973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:05:56.280622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9958
99.6%
계속사용 20
 
0.2%
폐기 19
 
0.2%
부품재활용 2
 
< 0.1%
타기관이전 1
 
< 0.1%

Sample

장비명(한글)장비명(영문)자산관리번호ZEUS 관리번호e-Tube 관리번호대분류중분류소분류장비구분장비용도제작사제작 국가구매 방법보유대수모델명취득(예정)일취득금액(단위:원)내용연수(단위:년)장비활용범위장비대표이미지장비설명장비구성장비활용 예시기관의뢰직접사용임대가능설치형태예약가능 여부판매사명판매국가판매전화번호AS국가AS전화번호AS전화번호.1AS담당자명AS담당자전화번호보유기관 유형보유기관명사업자번호우편번호주소지역설치기관 유형설치기관명사업자번호.1우편번호.1주소.1지역.1설치장소설치층수설치호실대상년도전담기관명(과제관리전문기관명)과제번호과제유형6T분류5대 중점 투자분야사업명과제명시작일종료일주관기관명사업자번호.2우편번호.2주소.2지역.2총괄책임자대상년도.1활용가능시간연도가동시간연도가동률(%)최대가동시간(단위:h)비고장비사용료 수입실적(원)활용상태사용계획
1127\<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaNNaNNaN<NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
10261h) Revolution Speed : 0 to 1800rpm\<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaNNaNNaN<NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
54221블레이드서버Blade Server02RA04-093001-B1877-061NFEC-2011-02-141102<NA>데이터처리장비하드웨어고성능컴퓨터주장비생산Dell미국내자구매1PowerEdge M6102009-12-2891223685공동활용<NA>그래픽 연산 DATA의 다중연산 처리 그래픽 레이어의 렌더링처리 작업 \<NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaNNaNNaN<NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
47783- 기계 한대로 사각형의 용기를 2가지 병용할 수 있다.\<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaNNaNNaN<NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
72378조직 절편 슬라이드 제작\<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaNNaNNaN<NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83420차량 제어 신호 생성 장비Vehicle Control/Status Signal Simulation SystemA20054996<NA>E0007290<NA><NA><NA>주장비시험이노시뮬레이션<NA><NA>1CANoE 6.02005-10-1967000000<NA>단독활용이지만공동활용<NA><NA><NA><NA><NA><NA><NA>고정형N<NA>NaN<NA><NA><NA><NA><NA><NA>기타한국자동차연구원312-82-04676<NA>충청남도 천안시 동남구 풍세면 풍세로 303(용정리)충남국?공립 연구기관한국자동차연구원312-82-0467631214충청남도 천안시 동남구 풍세면 풍세로 303자동차부품연구원 신뢰성실험동충남NaNNaN<NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>--<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43442- PRESSURE GAUGE W/ SYPHONE(JACKET)동물 의약품 반응기는 원료의약품 동물약품 및 의약품 원료재료 생산이 가능하며 고지혈증 치료제 당뇨 치료제 등 제네릭 의약품에 활용이 가능하다.\<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaNNaNNaN<NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
68184○ Connection type : CEE plug 16 A\<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaNNaNNaN<NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
69917- Aperture wheel with12 positions\<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaNNaNNaN<NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
82088연속식당화기Continuous Bio-mass Reactor SystemA2011020063NFEC-2011-05-145499E0002112<NA><NA><NA>주장비가공한울대한민국<NA>1개발2011-04-11707700005단독활용<NA>A. 원료탱크\<NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaNNaNNaN<NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
장비명(한글)장비명(영문)자산관리번호ZEUS 관리번호e-Tube 관리번호대분류중분류소분류장비구분장비용도제작사제작 국가구매 방법보유대수모델명취득(예정)일취득금액(단위:원)내용연수(단위:년)장비활용범위장비대표이미지장비설명장비구성장비활용 예시기관의뢰직접사용임대가능설치형태예약가능 여부판매사명판매국가판매전화번호AS국가AS전화번호AS전화번호.1AS담당자명AS담당자전화번호보유기관 유형보유기관명사업자번호우편번호주소지역설치기관 유형설치기관명사업자번호.1우편번호.1주소.1지역.1설치장소설치층수설치호실대상년도전담기관명(과제관리전문기관명)과제번호과제유형6T분류5대 중점 투자분야사업명과제명시작일종료일주관기관명사업자번호.2우편번호.2주소.2지역.2총괄책임자대상년도.1활용가능시간연도가동시간연도가동률(%)최대가동시간(단위:h)비고장비사용료 수입실적(원)활용상태사용계획
42245- Torch location : Auto-control\<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaNNaNNaN<NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
21688HEAVY DUTY SPREADER(STANDARD)\<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaNNaNNaN<NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
77354*분산 효율이 높은 초음파 probe의 내장. \<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaNNaNNaN<NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
15482- Blade speed : 1700/3400rpm\<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaNNaNNaN<NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23015\<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaNNaNNaN<NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
32296○ 석탑 마애불 등의 석조문화재의 비파괴 분석에 이용\<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaNNaNNaN<NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
42054- Plate speed : 20 ~ 600rpm (1rpm step)\<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaNNaNNaN<NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23250대사산물분석기Metabolite Analyzer03RA29-07401003-A0249NFEC-2013-09-182824<NA>임상의료장비생체측정/진단장비달리분류되지않는이미지분석장비부대장비생산Ysi미국내자구매1YSI 29002013-06-102887500010공동활용<NA>A. Feature\<NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaNNaNNaN<NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
108704) 최대 작동 온도범위: 450℃또는 그 이상 일 것. \<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaNNaNNaN<NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83188고속액체크로마토그래피 질량분석기Liquid Chromatography Chromatography Mass Spectrometer SystemIACF-TE-044<NA>E0005914<NA><NA><NA>주장비분석<NA><NA><NA>13100Mass2004-01-011500000000단독활용이지만공동활용ATF2021000318<NA>Flow Rates 5 - 1000 ?L/min (ESI)\<NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaNNaNNaN<NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

장비명(한글)장비명(영문)자산관리번호ZEUS 관리번호e-Tube 관리번호대분류중분류소분류장비구분장비용도제작사제작 국가구매 방법보유대수모델명취득(예정)일취득금액(단위:원)내용연수(단위:년)장비활용범위장비대표이미지장비설명장비구성장비활용 예시기관의뢰직접사용임대가능설치형태예약가능 여부판매사명판매전화번호AS국가AS전화번호AS전화번호.1AS담당자명AS담당자전화번호보유기관 유형보유기관명사업자번호우편번호주소지역설치기관 유형설치기관명사업자번호.1우편번호.1주소.1설치호실전담기관명(과제관리전문기관명)과제번호과제유형6T분류5대 중점 투자분야사업명과제명시작일종료일주관기관명사업자번호.2우편번호.2주소.2지역.2총괄책임자대상년도.1활용가능시간연도가동시간연도가동률(%)최대가동시간(단위:h)비고장비사용료 수입실적(원)활용상태사용계획# duplicates
552\<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>898
504HDD : 146GB (10K RPM SAS 2.5" Hot Plug Hard Drive ) *2 \<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>44
526Memory : DDR3 8GB Memory (4x2GB) 1066MHz Dual Ranked UDIMMs for 2 Processors \<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>39
209\<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>38
758활용분야\<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>26
631구성및성능\<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>25
530OS : Microsoft(R) Windows(R) Server 2008 X64 Standard Ed. KOR Hyper-VFI \<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>24
763<NA>Blade Server : CPU :Intel(R) Quad Core X5550 Xeon(R) CPU 2.66Ghz 8M Cache 6.40 GT/s QPI Turbov * 2EA \<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>23
486CG VFX 2D/3D 애니메이션 Stereoscopic3D 입체영상 제작분야YN<NA>고정형N세아네트웍스대한민국02-6970-1500델 인터내셔널 주식회사대한민국080-860-9911<NA><NA>지자체출연 연구기관충남테크노파크312-82-0657731035충청남도 천안시 서북구 직산읍 직산로 136충남테크노파크충남지자체출연 연구기관스마트ICT융합센터100-00-0000532422충청남도 예산군 예산읍 신례원리 433 충남테크노파크충남<NA>3303한국산업기술평가원2300230001000012000018기반조성기타국가주도기술핵심역량 확보지역산업진흥충남영상미디어산업사업화센터설립2002-02-012003-12-01충남테크노파크312-82-0657731035충청남도 천안시 서북구 직산읍 직산로 136충남테크노파크충남김희섭<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>22
529OS : Microsoft(R) Windows(R) Server 2008 X64 Standard Ed. KOR Hyper-VFIChassis+Switch Module+RACK+KVMBlade Server와 각종 어플리케이션 renderer의 연관작업을 통한 해당 결과물의 Performance에 영향을 미침 대량의 node 를 이용한 다중업을 통해 대용량 데이터 처리에 용이함. \<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>22