Overview

Dataset statistics

Number of variables17
Number of observations4507
Missing cells48409
Missing cells (%)63.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory620.7 KiB
Average record size in memory141.0 B

Variable types

Text8
DateTime1
Numeric5
Boolean3

Dataset

Description성남벤처넷 성남기업 회원현황(2014.4)
Author(재)성남산업진흥원
URLhttps://www.data.go.kr/data/3058670/fileData.do

Alerts

벤처기업인증여부 has constant value ""Constant
이노비즈인증여부 has constant value ""Constant
기업부설연구소여부 has constant value ""Constant
HS코드 is highly overall correlated with 의장등록건수High correlation
의장등록건수 is highly overall correlated with HS코드High correlation
대표자 has 685 (15.2%) missing valuesMissing
회사전화 has 1504 (33.4%) missing valuesMissing
우편번호 has 219 (4.9%) missing valuesMissing
주요취급품목 has 2033 (45.1%) missing valuesMissing
업종 has 2951 (65.5%) missing valuesMissing
회사설립일 has 3250 (72.1%) missing valuesMissing
홈페이지 has 3464 (76.9%) missing valuesMissing
HS코드 has 4425 (98.2%) missing valuesMissing
벤처기업인증여부 has 4209 (93.4%) missing valuesMissing
이노비즈인증여부 has 4349 (96.5%) missing valuesMissing
기업부설연구소여부 has 3949 (87.6%) missing valuesMissing
특허건수 has 4180 (92.7%) missing valuesMissing
실용신안건수 has 4415 (98.0%) missing valuesMissing
의장등록건수 has 4441 (98.5%) missing valuesMissing
기타 국내외 인증 건수 has 4330 (96.1%) missing valuesMissing

Reproduction

Analysis started2023-12-12 06:55:15.522926
Analysis finished2023-12-12 06:55:20.711768
Duration5.19 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct4506
Distinct (%)100.0%
Missing1
Missing (%)< 0.1%
Memory size35.3 KiB
2023-12-12T15:55:20.958458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length5.1167332
Min length1

Characters and Unicode

Total characters23056
Distinct characters737
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4506 ?
Unique (%)100.0%

Sample

1st row1492피앤씨애드
2nd row올그린티앤지
3rd row바이오버드
4th row지엘바이오
5th row인앤시스
ValueCountFrequency (%)
서울식연 2
 
< 0.1%
유복농산 2
 
< 0.1%
발레리코리아 2
 
< 0.1%
내팜 2
 
< 0.1%
1492피앤씨애드 1
 
< 0.1%
아인소프트엔드하이택 1
 
< 0.1%
안호균종합식품 1
 
< 0.1%
퓨어마린 1
 
< 0.1%
이노코아 1
 
< 0.1%
성호전자 1
 
< 0.1%
Other values (4493) 4493
99.7%
2023-12-12T15:55:21.397268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1342
 
5.8%
1273
 
5.5%
575
 
2.5%
535
 
2.3%
432
 
1.9%
378
 
1.6%
377
 
1.6%
371
 
1.6%
349
 
1.5%
344
 
1.5%
Other values (727) 17080
74.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22038
95.6%
Uppercase Letter 493
 
2.1%
Lowercase Letter 429
 
1.9%
Other Punctuation 33
 
0.1%
Decimal Number 31
 
0.1%
Close Punctuation 13
 
0.1%
Open Punctuation 13
 
0.1%
Dash Punctuation 4
 
< 0.1%
Control 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1342
 
6.1%
1273
 
5.8%
575
 
2.6%
535
 
2.4%
432
 
2.0%
378
 
1.7%
377
 
1.7%
371
 
1.7%
349
 
1.6%
344
 
1.6%
Other values (658) 16062
72.9%
Lowercase Letter
ValueCountFrequency (%)
e 49
11.4%
a 38
 
8.9%
o 37
 
8.6%
t 36
 
8.4%
n 36
 
8.4%
i 27
 
6.3%
s 27
 
6.3%
c 21
 
4.9%
r 21
 
4.9%
l 16
 
3.7%
Other values (16) 121
28.2%
Uppercase Letter
ValueCountFrequency (%)
S 54
 
11.0%
E 44
 
8.9%
T 42
 
8.5%
C 37
 
7.5%
M 33
 
6.7%
I 31
 
6.3%
N 26
 
5.3%
G 21
 
4.3%
A 21
 
4.3%
B 20
 
4.1%
Other values (14) 164
33.3%
Decimal Number
ValueCountFrequency (%)
1 9
29.0%
2 7
22.6%
0 5
16.1%
3 3
 
9.7%
4 3
 
9.7%
9 3
 
9.7%
5 1
 
3.2%
Other Punctuation
ValueCountFrequency (%)
& 21
63.6%
? 6
 
18.2%
. 4
 
12.1%
/ 1
 
3.0%
, 1
 
3.0%
Close Punctuation
ValueCountFrequency (%)
) 12
92.3%
] 1
 
7.7%
Open Punctuation
ValueCountFrequency (%)
( 12
92.3%
[ 1
 
7.7%
Control
ValueCountFrequency (%)
1
50.0%
1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22038
95.6%
Latin 922
 
4.0%
Common 96
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1342
 
6.1%
1273
 
5.8%
575
 
2.6%
535
 
2.4%
432
 
2.0%
378
 
1.7%
377
 
1.7%
371
 
1.7%
349
 
1.6%
344
 
1.6%
Other values (658) 16062
72.9%
Latin
ValueCountFrequency (%)
S 54
 
5.9%
e 49
 
5.3%
E 44
 
4.8%
T 42
 
4.6%
a 38
 
4.1%
o 37
 
4.0%
C 37
 
4.0%
t 36
 
3.9%
n 36
 
3.9%
M 33
 
3.6%
Other values (40) 516
56.0%
Common
ValueCountFrequency (%)
& 21
21.9%
) 12
12.5%
( 12
12.5%
1 9
9.4%
2 7
 
7.3%
? 6
 
6.2%
0 5
 
5.2%
- 4
 
4.2%
. 4
 
4.2%
3 3
 
3.1%
Other values (9) 13
13.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22038
95.6%
ASCII 1018
 
4.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1342
 
6.1%
1273
 
5.8%
575
 
2.6%
535
 
2.4%
432
 
2.0%
378
 
1.7%
377
 
1.7%
371
 
1.7%
349
 
1.6%
344
 
1.6%
Other values (658) 16062
72.9%
ASCII
ValueCountFrequency (%)
S 54
 
5.3%
e 49
 
4.8%
E 44
 
4.3%
T 42
 
4.1%
a 38
 
3.7%
o 37
 
3.6%
C 37
 
3.6%
t 36
 
3.5%
n 36
 
3.5%
M 33
 
3.2%
Other values (59) 612
60.1%

대표자
Text

MISSING 

Distinct3372
Distinct (%)88.2%
Missing685
Missing (%)15.2%
Memory size35.3 KiB
2023-12-12T15:55:21.738880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length3
Mean length3.1091052
Min length2

Characters and Unicode

Total characters11883
Distinct characters342
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

Unique3010 ?
Unique (%)78.8%

Sample

1st row유희숙
2nd row하명호
3rd row김종탁
4th row지경민
5th row안근백
ValueCountFrequency (%)
8
 
0.2%
6
 
0.2%
김미숙 5
 
0.1%
김종성 5
 
0.1%
김경수 5
 
0.1%
박용준 4
 
0.1%
홍석환 4
 
0.1%
박종석 4
 
0.1%
김상준 4
 
0.1%
김재구 4
 
0.1%
Other values (3407) 3865
98.7%
2023-12-12T15:55:22.234356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
862
 
7.3%
609
 
5.1%
346
 
2.9%
314
 
2.6%
308
 
2.6%
233
 
2.0%
222
 
1.9%
217
 
1.8%
200
 
1.7%
197
 
1.7%
Other values (332) 8375
70.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11675
98.2%
Space Separator 109
 
0.9%
Other Punctuation 43
 
0.4%
Lowercase Letter 17
 
0.1%
Decimal Number 11
 
0.1%
Uppercase Letter 11
 
0.1%
Open Punctuation 7
 
0.1%
Close Punctuation 7
 
0.1%
Control 2
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
862
 
7.4%
609
 
5.2%
346
 
3.0%
314
 
2.7%
308
 
2.6%
233
 
2.0%
222
 
1.9%
217
 
1.9%
200
 
1.7%
197
 
1.7%
Other values (294) 8167
70.0%
Lowercase Letter
ValueCountFrequency (%)
c 3
17.6%
a 2
11.8%
e 2
11.8%
y 1
 
5.9%
s 1
 
5.9%
g 1
 
5.9%
n 1
 
5.9%
o 1
 
5.9%
u 1
 
5.9%
i 1
 
5.9%
Other values (3) 3
17.6%
Uppercase Letter
ValueCountFrequency (%)
K 2
18.2%
N 2
18.2%
E 2
18.2%
T 1
9.1%
R 1
9.1%
A 1
9.1%
P 1
9.1%
H 1
9.1%
Decimal Number
ValueCountFrequency (%)
1 6
54.5%
2 2
 
18.2%
0 1
 
9.1%
4 1
 
9.1%
5 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 26
60.5%
? 14
32.6%
/ 2
 
4.7%
. 1
 
2.3%
Open Punctuation
ValueCountFrequency (%)
( 6
85.7%
[ 1
 
14.3%
Close Punctuation
ValueCountFrequency (%)
) 6
85.7%
] 1
 
14.3%
Control
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
109
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11675
98.2%
Common 180
 
1.5%
Latin 28
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
862
 
7.4%
609
 
5.2%
346
 
3.0%
314
 
2.7%
308
 
2.6%
233
 
2.0%
222
 
1.9%
217
 
1.9%
200
 
1.7%
197
 
1.7%
Other values (294) 8167
70.0%
Latin
ValueCountFrequency (%)
c 3
 
10.7%
a 2
 
7.1%
K 2
 
7.1%
N 2
 
7.1%
e 2
 
7.1%
E 2
 
7.1%
y 1
 
3.6%
T 1
 
3.6%
s 1
 
3.6%
R 1
 
3.6%
Other values (11) 11
39.3%
Common
ValueCountFrequency (%)
109
60.6%
, 26
 
14.4%
? 14
 
7.8%
1 6
 
3.3%
( 6
 
3.3%
) 6
 
3.3%
/ 2
 
1.1%
2 2
 
1.1%
1
 
0.6%
1
 
0.6%
Other values (7) 7
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11675
98.2%
ASCII 208
 
1.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
862
 
7.4%
609
 
5.2%
346
 
3.0%
314
 
2.7%
308
 
2.6%
233
 
2.0%
222
 
1.9%
217
 
1.9%
200
 
1.7%
197
 
1.7%
Other values (294) 8167
70.0%
ASCII
ValueCountFrequency (%)
109
52.4%
, 26
 
12.5%
? 14
 
6.7%
1 6
 
2.9%
( 6
 
2.9%
) 6
 
2.9%
c 3
 
1.4%
/ 2
 
1.0%
a 2
 
1.0%
K 2
 
1.0%
Other values (28) 32
 
15.4%

회사전화
Text

MISSING 

Distinct2899
Distinct (%)96.5%
Missing1504
Missing (%)33.4%
Memory size35.3 KiB
2023-12-12T15:55:22.493347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length12.112887
Min length5

Characters and Unicode

Total characters36375
Distinct characters15
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2801 ?
Unique (%)93.3%

Sample

1st row070-4207-9707
2nd row031-737-2091
3rd row031-628-0800
4th row070-4349-1195
5th row070-7817-5273
ValueCountFrequency (%)
031-735-7734 4
 
0.1%
031-722-1357 3
 
0.1%
070-7490-2100 3
 
0.1%
031-733-1558 3
 
0.1%
031-750-0008 3
 
0.1%
031-776-3084 2
 
0.1%
031-730-0808 2
 
0.1%
031-731-2191 2
 
0.1%
031-721-4400 2
 
0.1%
031-713-5116 2
 
0.1%
Other values (2890) 2979
99.1%
2023-12-12T15:55:22.930498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6168
17.0%
- 5994
16.5%
7 4885
13.4%
1 4567
12.6%
3 4421
12.2%
2 1989
 
5.5%
8 1878
 
5.2%
5 1869
 
5.1%
6 1719
 
4.7%
4 1639
 
4.5%
Other values (5) 1246
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30375
83.5%
Dash Punctuation 5994
 
16.5%
Space Separator 3
 
< 0.1%
Math Symbol 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6168
20.3%
7 4885
16.1%
1 4567
15.0%
3 4421
14.6%
2 1989
 
6.5%
8 1878
 
6.2%
5 1869
 
6.2%
6 1719
 
5.7%
4 1639
 
5.4%
9 1240
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 5994
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 36375
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6168
17.0%
- 5994
16.5%
7 4885
13.4%
1 4567
12.6%
3 4421
12.2%
2 1989
 
5.5%
8 1878
 
5.2%
5 1869
 
5.1%
6 1719
 
4.7%
4 1639
 
4.5%
Other values (5) 1246
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36375
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6168
17.0%
- 5994
16.5%
7 4885
13.4%
1 4567
12.6%
3 4421
12.2%
2 1989
 
5.5%
8 1878
 
5.2%
5 1869
 
5.1%
6 1719
 
4.7%
4 1639
 
4.5%
Other values (5) 1246
 
3.4%
Distinct4425
Distinct (%)98.3%
Missing4
Missing (%)0.1%
Memory size35.3 KiB
2023-12-12T15:55:23.192957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length87
Median length54
Mean length32.732179
Min length1

Characters and Unicode

Total characters147393
Distinct characters506
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4353 ?
Unique (%)96.7%

Sample

1st row성남시 분당구 판교로 253 판교이노밸리 B동 901호
2nd row경기도 성남시 중원구 상대원동 311-3 우림라이온스밸리 1116호
3rd row경기도 성남시 분당구 삼평동 694-1 코이라바이오파크 B-904
4th row성남시 수정구 신흥동 5180번지 샤르망 1층
5th row경기 성남시 분당구 정자동 54-1 403
ValueCountFrequency (%)
성남시 4356
 
14.8%
분당구 2113
 
7.2%
중원구 1900
 
6.4%
경기 1677
 
5.7%
경기도 1641
 
5.6%
상대원동 820
 
2.8%
수정구 448
 
1.5%
야탑동 380
 
1.3%
상대원1동 315
 
1.1%
b동 226
 
0.8%
Other values (4968) 15646
53.0%
2023-12-12T15:55:23.606215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26760
 
18.2%
1 6584
 
4.5%
4894
 
3.3%
4875
 
3.3%
4828
 
3.3%
4796
 
3.3%
4683
 
3.2%
2 3904
 
2.6%
0 3690
 
2.5%
3526
 
2.4%
Other values (496) 78853
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 84709
57.5%
Decimal Number 28302
 
19.2%
Space Separator 26760
 
18.2%
Dash Punctuation 2145
 
1.5%
Uppercase Letter 2004
 
1.4%
Other Punctuation 1452
 
1.0%
Open Punctuation 772
 
0.5%
Close Punctuation 770
 
0.5%
Lowercase Letter 367
 
0.2%
Math Symbol 70
 
< 0.1%
Other values (3) 42
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4894
 
5.8%
4875
 
5.8%
4828
 
5.7%
4796
 
5.7%
4683
 
5.5%
3526
 
4.2%
3472
 
4.1%
3371
 
4.0%
2864
 
3.4%
2512
 
3.0%
Other values (422) 44888
53.0%
Uppercase Letter
ValueCountFrequency (%)
B 460
23.0%
A 275
13.7%
S 238
11.9%
K 224
11.2%
I 166
 
8.3%
T 148
 
7.4%
C 135
 
6.7%
D 88
 
4.4%
E 83
 
4.1%
G 28
 
1.4%
Other values (16) 159
 
7.9%
Lowercase Letter
ValueCountFrequency (%)
n 162
44.1%
s 56
 
15.3%
k 54
 
14.7%
b 22
 
6.0%
a 17
 
4.6%
c 13
 
3.5%
e 8
 
2.2%
t 6
 
1.6%
i 6
 
1.6%
f 5
 
1.4%
Other values (8) 18
 
4.9%
Decimal Number
ValueCountFrequency (%)
1 6584
23.3%
2 3904
13.8%
0 3690
13.0%
3 3125
11.0%
4 2732
9.7%
5 2569
 
9.1%
6 1683
 
5.9%
7 1539
 
5.4%
8 1362
 
4.8%
9 1114
 
3.9%
Other Punctuation
ValueCountFrequency (%)
, 1351
93.0%
? 61
 
4.2%
. 15
 
1.0%
/ 10
 
0.7%
& 9
 
0.6%
@ 4
 
0.3%
' 1
 
0.1%
# 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 68
97.1%
1
 
1.4%
= 1
 
1.4%
Letter Number
ValueCountFrequency (%)
11
91.7%
1
 
8.3%
Control
ValueCountFrequency (%)
5
50.0%
5
50.0%
Space Separator
ValueCountFrequency (%)
26760
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2145
100.0%
Open Punctuation
ValueCountFrequency (%)
( 772
100.0%
Close Punctuation
ValueCountFrequency (%)
) 770
100.0%
Other Symbol
ValueCountFrequency (%)
20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 84709
57.5%
Common 60301
40.9%
Latin 2382
 
1.6%
Greek 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4894
 
5.8%
4875
 
5.8%
4828
 
5.7%
4796
 
5.7%
4683
 
5.5%
3526
 
4.2%
3472
 
4.1%
3371
 
4.0%
2864
 
3.4%
2512
 
3.0%
Other values (422) 44888
53.0%
Latin
ValueCountFrequency (%)
B 460
19.3%
A 275
11.5%
S 238
10.0%
K 224
9.4%
I 166
 
7.0%
n 162
 
6.8%
T 148
 
6.2%
C 135
 
5.7%
D 88
 
3.7%
E 83
 
3.5%
Other values (35) 403
16.9%
Common
ValueCountFrequency (%)
26760
44.4%
1 6584
 
10.9%
2 3904
 
6.5%
0 3690
 
6.1%
3 3125
 
5.2%
4 2732
 
4.5%
5 2569
 
4.3%
- 2145
 
3.6%
6 1683
 
2.8%
7 1539
 
2.6%
Other values (18) 5570
 
9.2%
Greek
ValueCountFrequency (%)
Ι 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 84708
57.5%
ASCII 62650
42.5%
Enclosed Alphanum 20
 
< 0.1%
Number Forms 12
 
< 0.1%
Math Operators 1
 
< 0.1%
None 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26760
42.7%
1 6584
 
10.5%
2 3904
 
6.2%
0 3690
 
5.9%
3 3125
 
5.0%
4 2732
 
4.4%
5 2569
 
4.1%
- 2145
 
3.4%
6 1683
 
2.7%
7 1539
 
2.5%
Other values (59) 7919
 
12.6%
Hangul
ValueCountFrequency (%)
4894
 
5.8%
4875
 
5.8%
4828
 
5.7%
4796
 
5.7%
4683
 
5.5%
3526
 
4.2%
3472
 
4.1%
3371
 
4.0%
2864
 
3.4%
2512
 
3.0%
Other values (421) 44887
53.0%
Enclosed Alphanum
ValueCountFrequency (%)
20
100.0%
Number Forms
ValueCountFrequency (%)
11
91.7%
1
 
8.3%
Math Operators
ValueCountFrequency (%)
1
100.0%
None
ValueCountFrequency (%)
Ι 1
100.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

우편번호
Text

MISSING 

Distinct356
Distinct (%)8.3%
Missing219
Missing (%)4.9%
Memory size35.3 KiB
2023-12-12T15:55:23.982313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.9960354
Min length1

Characters and Unicode

Total characters25711
Distinct characters11
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

Unique128 ?
Unique (%)3.0%

Sample

1st row463400
2nd row462120
3rd row463400
4th row463824
5th row462212
ValueCountFrequency (%)
462120 448
 
10.4%
462807 296
 
6.9%
463400 244
 
5.7%
463824 154
 
3.6%
463760 138
 
3.2%
463825 121
 
2.8%
462806 100
 
2.3%
462721 95
 
2.2%
463828 82
 
1.9%
463816 75
 
1.7%
Other values (346) 2535
59.1%
2023-12-12T15:55:24.545310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 5345
20.8%
6 4887
19.0%
2 3525
13.7%
3 2691
10.5%
0 2509
9.8%
8 2340
9.1%
1 2010
 
7.8%
7 1618
 
6.3%
9 422
 
1.6%
5 363
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 25710
> 99.9%
Other Letter 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 5345
20.8%
6 4887
19.0%
2 3525
13.7%
3 2691
10.5%
0 2509
9.8%
8 2340
9.1%
1 2010
 
7.8%
7 1618
 
6.3%
9 422
 
1.6%
5 363
 
1.4%
Other Letter
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25710
> 99.9%
Hangul 1
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
4 5345
20.8%
6 4887
19.0%
2 3525
13.7%
3 2691
10.5%
0 2509
9.8%
8 2340
9.1%
1 2010
 
7.8%
7 1618
 
6.3%
9 422
 
1.6%
5 363
 
1.4%
Hangul
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25710
> 99.9%
Hangul 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 5345
20.8%
6 4887
19.0%
2 3525
13.7%
3 2691
10.5%
0 2509
9.8%
8 2340
9.1%
1 2010
 
7.8%
7 1618
 
6.3%
9 422
 
1.6%
5 363
 
1.4%
Hangul
ValueCountFrequency (%)
1
100.0%

주요취급품목
Text

MISSING 

Distinct2293
Distinct (%)92.7%
Missing2033
Missing (%)45.1%
Memory size35.3 KiB
2023-12-12T15:55:24.953936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length139
Median length65
Mean length13.800728
Min length1

Characters and Unicode

Total characters34143
Distinct characters760
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2214 ?
Unique (%)89.5%

Sample

1st row소프트웨어개발 및 공급업, 모바일콘텐츠
2nd row건강식품
3rd rowAposcan kit, BFGF
4th row공산품, oem화장품, 산지협력 특산품 등 ?
5th row차량용 네비게이션
ValueCountFrequency (%)
194
 
3.0%
157
 
2.4%
소프트웨어 88
 
1.4%
72
 
1.1%
개발 67
 
1.0%
게임 51
 
0.8%
반도체 48
 
0.7%
화장품 44
 
0.7%
36
 
0.6%
모바일 34
 
0.5%
Other values (3804) 5628
87.7%
2023-12-12T15:55:25.505541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4030
 
11.8%
, 1628
 
4.8%
942
 
2.8%
508
 
1.5%
e 448
 
1.3%
403
 
1.2%
372
 
1.1%
366
 
1.1%
360
 
1.1%
360
 
1.1%
Other values (750) 24726
72.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21737
63.7%
Space Separator 4030
 
11.8%
Lowercase Letter 3376
 
9.9%
Uppercase Letter 2508
 
7.3%
Other Punctuation 2000
 
5.9%
Close Punctuation 145
 
0.4%
Open Punctuation 144
 
0.4%
Decimal Number 106
 
0.3%
Dash Punctuation 70
 
0.2%
Control 26
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
942
 
4.3%
508
 
2.3%
403
 
1.9%
372
 
1.7%
366
 
1.7%
360
 
1.7%
360
 
1.7%
324
 
1.5%
310
 
1.4%
301
 
1.4%
Other values (672) 17491
80.5%
Lowercase Letter
ValueCountFrequency (%)
e 448
13.3%
o 322
 
9.5%
r 309
 
9.2%
a 272
 
8.1%
t 266
 
7.9%
i 257
 
7.6%
l 192
 
5.7%
n 172
 
5.1%
d 149
 
4.4%
s 149
 
4.4%
Other values (16) 840
24.9%
Uppercase Letter
ValueCountFrequency (%)
D 272
 
10.8%
S 264
 
10.5%
C 220
 
8.8%
M 166
 
6.6%
P 165
 
6.6%
E 157
 
6.3%
L 145
 
5.8%
I 143
 
5.7%
A 132
 
5.3%
R 125
 
5.0%
Other values (15) 719
28.7%
Other Punctuation
ValueCountFrequency (%)
, 1628
81.4%
/ 129
 
6.5%
? 115
 
5.8%
. 91
 
4.5%
& 24
 
1.2%
: 6
 
0.3%
' 3
 
0.1%
# 2
 
0.1%
; 1
 
< 0.1%
· 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
3 25
23.6%
2 22
20.8%
0 19
17.9%
1 12
11.3%
4 8
 
7.5%
5 8
 
7.5%
7 5
 
4.7%
8 3
 
2.8%
6 3
 
2.8%
9 1
 
0.9%
Control
ValueCountFrequency (%)
13
50.0%
13
50.0%
Space Separator
ValueCountFrequency (%)
4030
100.0%
Close Punctuation
ValueCountFrequency (%)
) 145
100.0%
Open Punctuation
ValueCountFrequency (%)
( 144
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21731
63.6%
Common 6522
 
19.1%
Latin 5884
 
17.2%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
942
 
4.3%
508
 
2.3%
403
 
1.9%
372
 
1.7%
366
 
1.7%
360
 
1.7%
360
 
1.7%
324
 
1.5%
310
 
1.4%
301
 
1.4%
Other values (670) 17485
80.5%
Latin
ValueCountFrequency (%)
e 448
 
7.6%
o 322
 
5.5%
r 309
 
5.3%
a 272
 
4.6%
D 272
 
4.6%
t 266
 
4.5%
S 264
 
4.5%
i 257
 
4.4%
C 220
 
3.7%
l 192
 
3.3%
Other values (41) 3062
52.0%
Common
ValueCountFrequency (%)
4030
61.8%
, 1628
25.0%
) 145
 
2.2%
( 144
 
2.2%
/ 129
 
2.0%
? 115
 
1.8%
. 91
 
1.4%
- 70
 
1.1%
3 25
 
0.4%
& 24
 
0.4%
Other values (17) 121
 
1.9%
Han
ValueCountFrequency (%)
5
83.3%
1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21729
63.6%
ASCII 12405
36.3%
CJK 6
 
< 0.1%
Compat Jamo 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4030
32.5%
, 1628
 
13.1%
e 448
 
3.6%
o 322
 
2.6%
r 309
 
2.5%
a 272
 
2.2%
D 272
 
2.2%
t 266
 
2.1%
S 264
 
2.1%
i 257
 
2.1%
Other values (67) 4337
35.0%
Hangul
ValueCountFrequency (%)
942
 
4.3%
508
 
2.3%
403
 
1.9%
372
 
1.7%
366
 
1.7%
360
 
1.7%
360
 
1.7%
324
 
1.5%
310
 
1.4%
301
 
1.4%
Other values (669) 17483
80.5%
CJK
ValueCountFrequency (%)
5
83.3%
1
 
16.7%
Compat Jamo
ValueCountFrequency (%)
2
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

업종
Text

MISSING 

Distinct340
Distinct (%)21.9%
Missing2951
Missing (%)65.5%
Memory size35.3 KiB
2023-12-12T15:55:25.842513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length29
Mean length14.12018
Min length3

Characters and Unicode

Total characters21971
Distinct characters276
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique169 ?
Unique (%)10.9%

Sample

1st row방송장비 제조업
2nd row타일 및 유사 비내화 요업제품 제조업
3rd row근무복, 작업복 및 유사의복 제조업
4th row전자부품 실장기판 제조업
5th row방송장비 제조업
ValueCountFrequency (%)
제조업 984
 
16.4%
785
 
13.1%
기타 335
 
5.6%
개발 256
 
4.3%
공급업 256
 
4.3%
소프트웨어 248
 
4.1%
전자부품 121
 
2.0%
방송장비 107
 
1.8%
영상 93
 
1.6%
기계 85
 
1.4%
Other values (486) 2713
45.3%
2023-12-12T15:55:26.282734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4429
20.2%
1582
 
7.2%
1217
 
5.5%
1197
 
5.4%
1108
 
5.0%
785
 
3.6%
407
 
1.9%
380
 
1.7%
355
 
1.6%
353
 
1.6%
Other values (266) 10158
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17116
77.9%
Space Separator 4429
 
20.2%
Other Punctuation 425
 
1.9%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1582
 
9.2%
1217
 
7.1%
1197
 
7.0%
1108
 
6.5%
785
 
4.6%
407
 
2.4%
380
 
2.2%
355
 
2.1%
353
 
2.1%
345
 
2.0%
Other values (261) 9387
54.8%
Other Punctuation
ValueCountFrequency (%)
, 346
81.4%
· 58
 
13.6%
; 21
 
4.9%
Space Separator
ValueCountFrequency (%)
4429
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17116
77.9%
Common 4855
 
22.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1582
 
9.2%
1217
 
7.1%
1197
 
7.0%
1108
 
6.5%
785
 
4.6%
407
 
2.4%
380
 
2.2%
355
 
2.1%
353
 
2.1%
345
 
2.0%
Other values (261) 9387
54.8%
Common
ValueCountFrequency (%)
4429
91.2%
, 346
 
7.1%
· 58
 
1.2%
; 21
 
0.4%
1 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17116
77.9%
ASCII 4797
 
21.8%
None 58
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4429
92.3%
, 346
 
7.2%
; 21
 
0.4%
1 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
1582
 
9.2%
1217
 
7.1%
1197
 
7.0%
1108
 
6.5%
785
 
4.6%
407
 
2.4%
380
 
2.2%
355
 
2.1%
353
 
2.1%
345
 
2.0%
Other values (261) 9387
54.8%
None
ValueCountFrequency (%)
· 58
100.0%

회사설립일
Date

MISSING 

Distinct1034
Distinct (%)82.3%
Missing3250
Missing (%)72.1%
Memory size35.3 KiB
Minimum1968-04-01 00:00:00
Maximum2021-04-20 00:00:00
2023-12-12T15:55:26.407678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:26.528731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

홈페이지
Text

MISSING 

Distinct1029
Distinct (%)98.7%
Missing3464
Missing (%)76.9%
Memory size35.3 KiB
2023-12-12T15:55:26.727785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length25
Mean length16.268456
Min length1

Characters and Unicode

Total characters16968
Distinct characters79
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

Unique1017 ?
Unique (%)97.5%

Sample

1st rowwww.allgreentng.com
2nd rowwww.biobud.com
3rd rowwww.greenbiosys.com
4th rowwww.innsys.co.kr
5th rowwww.habitus.co.kr
ValueCountFrequency (%)
3
 
0.3%
www.utplus.co.kr 2
 
0.2%
www.alfatech21.com 2
 
0.2%
www.recent.co.kr 2
 
0.2%
www.spcomm.co.kr 2
 
0.2%
www.smb21.com 2
 
0.2%
www 2
 
0.2%
www.eulji.ac.kr 2
 
0.2%
www.topping7.com 2
 
0.2%
www.btkco.com 2
 
0.2%
Other values (1018) 1020
98.0%
2023-12-12T15:55:27.055713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 2967
17.5%
. 2483
14.6%
o 1591
 
9.4%
c 1359
 
8.0%
r 953
 
5.6%
e 873
 
5.1%
m 773
 
4.6%
k 693
 
4.1%
i 637
 
3.8%
n 617
 
3.6%
Other values (69) 4022
23.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 14229
83.9%
Other Punctuation 2495
 
14.7%
Decimal Number 107
 
0.6%
Dash Punctuation 78
 
0.5%
Uppercase Letter 33
 
0.2%
Other Letter 21
 
0.1%
Space Separator 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 2967
20.9%
o 1591
11.2%
c 1359
9.6%
r 953
 
6.7%
e 873
 
6.1%
m 773
 
5.4%
k 693
 
4.9%
i 637
 
4.5%
n 617
 
4.3%
a 614
 
4.3%
Other values (16) 3152
22.2%
Other Letter
ValueCountFrequency (%)
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
Other values (11) 11
52.4%
Uppercase Letter
ValueCountFrequency (%)
O 4
12.1%
R 4
12.1%
W 3
9.1%
A 3
9.1%
H 2
 
6.1%
M 2
 
6.1%
S 2
 
6.1%
K 2
 
6.1%
E 2
 
6.1%
T 2
 
6.1%
Other values (7) 7
21.2%
Decimal Number
ValueCountFrequency (%)
1 32
29.9%
2 23
21.5%
9 10
 
9.3%
3 10
 
9.3%
0 8
 
7.5%
4 8
 
7.5%
7 7
 
6.5%
5 5
 
4.7%
8 2
 
1.9%
6 2
 
1.9%
Other Punctuation
ValueCountFrequency (%)
. 2483
99.5%
/ 9
 
0.4%
@ 3
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 14262
84.1%
Common 2685
 
15.8%
Hangul 21
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 2967
20.8%
o 1591
11.2%
c 1359
9.5%
r 953
 
6.7%
e 873
 
6.1%
m 773
 
5.4%
k 693
 
4.9%
i 637
 
4.5%
n 617
 
4.3%
a 614
 
4.3%
Other values (33) 3185
22.3%
Hangul
ValueCountFrequency (%)
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
Other values (11) 11
52.4%
Common
ValueCountFrequency (%)
. 2483
92.5%
- 78
 
2.9%
1 32
 
1.2%
2 23
 
0.9%
9 10
 
0.4%
3 10
 
0.4%
/ 9
 
0.3%
0 8
 
0.3%
4 8
 
0.3%
7 7
 
0.3%
Other values (5) 17
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16947
99.9%
Hangul 21
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 2967
17.5%
. 2483
14.7%
o 1591
 
9.4%
c 1359
 
8.0%
r 953
 
5.6%
e 873
 
5.2%
m 773
 
4.6%
k 693
 
4.1%
i 637
 
3.8%
n 617
 
3.6%
Other values (48) 4001
23.6%
Hangul
ValueCountFrequency (%)
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
Other values (11) 11
52.4%

HS코드
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct70
Distinct (%)85.4%
Missing4425
Missing (%)98.2%
Infinite0
Infinite (%)0.0%
Mean2.983529 × 109
Minimum0
Maximum9.5030033 × 109
Zeros7
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size39.7 KiB
2023-12-12T15:55:27.195638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18532.5
median84962630
Q38.3921495 × 109
95-th percentile9.0306745 × 109
Maximum9.5030033 × 109
Range9.5030033 × 109
Interquartile range (IQR)8.392141 × 109

Descriptive statistics

Standard deviation3.7697082 × 109
Coefficient of variation (CV)1.2635065
Kurtosis-1.2682746
Mean2.983529 × 109
Median Absolute Deviation (MAD)84962630
Skewness0.7266513
Sum2.4464938 × 1011
Variance1.42107 × 1019
MonotonicityNot monotonic
2023-12-12T15:55:27.319280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7
 
0.2%
3304991000.0 4
 
0.1%
8543702020.0 2
 
< 0.1%
3203003000.0 2
 
< 0.1%
9033.0 2
 
< 0.1%
8507600000.0 1
 
< 0.1%
3924.0 1
 
< 0.1%
6115959000.0 1
 
< 0.1%
90275000.0 1
 
< 0.1%
8471800000.0 1
 
< 0.1%
Other values (60) 60
 
1.3%
(Missing) 4425
98.2%
ValueCountFrequency (%)
0.0 7
0.2%
409.0 1
 
< 0.1%
3304.0 1
 
< 0.1%
3304.99 1
 
< 0.1%
3922.0 1
 
< 0.1%
3924.0 1
 
< 0.1%
5407.0 1
 
< 0.1%
5407.621 1
 
< 0.1%
7308.0 1
 
< 0.1%
8415.0 1
 
< 0.1%
ValueCountFrequency (%)
9503003300.0 1
< 0.1%
9401809000.0 1
< 0.1%
9033000000.0 1
< 0.1%
9031901990.0 1
< 0.1%
9030820000.0 1
< 0.1%
9027909999.0 1
< 0.1%
9026909000.0 1
< 0.1%
9022901010.0 1
< 0.1%
8543702020.0 2
< 0.1%
8542392000.0 1
< 0.1%

벤처기업인증여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.3%
Missing4209
Missing (%)93.4%
Memory size8.9 KiB
True
 
298
(Missing)
4209 
ValueCountFrequency (%)
True 298
 
6.6%
(Missing) 4209
93.4%
2023-12-12T15:55:27.423025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

이노비즈인증여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.6%
Missing4349
Missing (%)96.5%
Memory size8.9 KiB
True
 
158
(Missing)
4349 
ValueCountFrequency (%)
True 158
 
3.5%
(Missing) 4349
96.5%
2023-12-12T15:55:27.495538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기업부설연구소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.2%
Missing3949
Missing (%)87.6%
Memory size8.9 KiB
True
558 
(Missing)
3949 
ValueCountFrequency (%)
True 558
 
12.4%
(Missing) 3949
87.6%
2023-12-12T15:55:27.622147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

특허건수
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)8.9%
Missing4180
Missing (%)92.7%
Infinite0
Infinite (%)0.0%
Mean4.8134557
Minimum0
Maximum49
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size39.7 KiB
2023-12-12T15:55:27.744249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q35
95-th percentile16.7
Maximum49
Range49
Interquartile range (IQR)4

Descriptive statistics

Standard deviation6.69301
Coefficient of variation (CV)1.3904792
Kurtosis13.867724
Mean4.8134557
Median Absolute Deviation (MAD)1
Skewness3.3564456
Sum1574
Variance44.796383
MonotonicityNot monotonic
2023-12-12T15:55:28.238760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1 101
 
2.2%
2 72
 
1.6%
3 36
 
0.8%
4 23
 
0.5%
5 19
 
0.4%
6 13
 
0.3%
7 8
 
0.2%
9 8
 
0.2%
13 7
 
0.2%
10 5
 
0.1%
Other values (19) 35
 
0.8%
(Missing) 4180
92.7%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 101
2.2%
2 72
1.6%
3 36
 
0.8%
4 23
 
0.5%
5 19
 
0.4%
6 13
 
0.3%
7 8
 
0.2%
8 4
 
0.1%
9 8
 
0.2%
ValueCountFrequency (%)
49 1
< 0.1%
44 1
< 0.1%
39 1
< 0.1%
36 1
< 0.1%
30 2
< 0.1%
29 2
< 0.1%
26 1
< 0.1%
24 1
< 0.1%
23 1
< 0.1%
21 2
< 0.1%

실용신안건수
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)13.0%
Missing4415
Missing (%)98.0%
Infinite0
Infinite (%)0.0%
Mean2.9021739
Minimum0
Maximum34
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size39.7 KiB
2023-12-12T15:55:28.392296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q33
95-th percentile8.45
Maximum34
Range34
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.9725979
Coefficient of variation (CV)1.3688352
Kurtosis41.526137
Mean2.9021739
Median Absolute Deviation (MAD)1
Skewness5.6523893
Sum267
Variance15.781534
MonotonicityNot monotonic
2023-12-12T15:55:28.518019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 38
 
0.8%
2 21
 
0.5%
3 14
 
0.3%
5 4
 
0.1%
4 4
 
0.1%
10 3
 
0.1%
7 2
 
< 0.1%
8 2
 
< 0.1%
9 1
 
< 0.1%
6 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
(Missing) 4415
98.0%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 38
0.8%
2 21
0.5%
3 14
 
0.3%
4 4
 
0.1%
5 4
 
0.1%
6 1
 
< 0.1%
7 2
 
< 0.1%
8 2
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
34 1
 
< 0.1%
10 3
 
0.1%
9 1
 
< 0.1%
8 2
 
< 0.1%
7 2
 
< 0.1%
6 1
 
< 0.1%
5 4
 
0.1%
4 4
 
0.1%
3 14
0.3%
2 21
0.5%

의장등록건수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct13
Distinct (%)19.7%
Missing4441
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean4.4242424
Minimum0
Maximum41
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size39.7 KiB
2023-12-12T15:55:28.636333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q33.75
95-th percentile12.75
Maximum41
Range41
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation7.1340152
Coefficient of variation (CV)1.6124829
Kurtosis17.04877
Mean4.4242424
Median Absolute Deviation (MAD)1
Skewness3.9156875
Sum292
Variance50.894172
MonotonicityNot monotonic
2023-12-12T15:55:28.745213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 19
 
0.4%
2 18
 
0.4%
3 11
 
0.2%
4 5
 
0.1%
11 2
 
< 0.1%
12 2
 
< 0.1%
10 2
 
< 0.1%
5 2
 
< 0.1%
38 1
 
< 0.1%
13 1
 
< 0.1%
Other values (3) 3
 
0.1%
(Missing) 4441
98.5%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 19
0.4%
2 18
0.4%
3 11
0.2%
4 5
 
0.1%
5 2
 
< 0.1%
10 2
 
< 0.1%
11 2
 
< 0.1%
12 2
 
< 0.1%
13 1
 
< 0.1%
ValueCountFrequency (%)
41 1
 
< 0.1%
38 1
 
< 0.1%
16 1
 
< 0.1%
13 1
 
< 0.1%
12 2
 
< 0.1%
11 2
 
< 0.1%
10 2
 
< 0.1%
5 2
 
< 0.1%
4 5
0.1%
3 11
0.2%

기타 국내외 인증 건수
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)15.8%
Missing4330
Missing (%)96.1%
Infinite0
Infinite (%)0.0%
Mean7.3276836
Minimum0
Maximum250
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size39.7 KiB
2023-12-12T15:55:28.892944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q36
95-th percentile20.6
Maximum250
Range250
Interquartile range (IQR)4

Descriptive statistics

Standard deviation20.307437
Coefficient of variation (CV)2.7713311
Kurtosis117.41202
Mean7.3276836
Median Absolute Deviation (MAD)2
Skewness10.068235
Sum1297
Variance412.39201
MonotonicityNot monotonic
2023-12-12T15:55:29.056641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1 38
 
0.8%
2 28
 
0.6%
3 23
 
0.5%
4 20
 
0.4%
5 19
 
0.4%
9 7
 
0.2%
6 6
 
0.1%
7 6
 
0.1%
8 5
 
0.1%
12 4
 
0.1%
Other values (18) 21
 
0.5%
(Missing) 4330
96.1%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 38
0.8%
2 28
0.6%
3 23
0.5%
4 20
0.4%
5 19
0.4%
6 6
 
0.1%
7 6
 
0.1%
8 5
 
0.1%
9 7
 
0.2%
ValueCountFrequency (%)
250 1
< 0.1%
59 1
< 0.1%
54 1
< 0.1%
44 1
< 0.1%
40 1
< 0.1%
36 2
< 0.1%
33 1
< 0.1%
23 1
< 0.1%
20 1
< 0.1%
19 1
< 0.1%

Interactions

2023-12-12T15:55:19.204086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:17.175532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:17.693983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:18.251464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:18.781050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:19.530242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:17.257638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:17.805549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:18.345194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:18.860081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:19.630840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:17.371150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:17.914965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:18.456182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:18.947359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:19.716661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:17.475630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:18.040776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:18.558609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:19.042603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:19.810375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:17.566183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:18.141330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:18.685475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:19.115636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:55:29.138854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
HS코드특허건수실용신안건수의장등록건수기타 국내외 인증 건수
HS코드1.0000.3360.0000.0000.000
특허건수0.3361.0000.3930.7180.619
실용신안건수0.0000.3931.0000.6840.211
의장등록건수0.0000.7180.6841.0000.653
기타 국내외 인증 건수0.0000.6190.2110.6531.000
2023-12-12T15:55:29.254637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
HS코드특허건수실용신안건수의장등록건수기타 국내외 인증 건수
HS코드1.0000.0070.1500.692-0.243
특허건수0.0071.0000.2220.2070.267
실용신안건수0.1500.2221.0000.2690.197
의장등록건수0.6920.2070.2691.0000.169
기타 국내외 인증 건수-0.2430.2670.1970.1691.000

Missing values

2023-12-12T15:55:19.949036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:55:20.196402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-12T15:55:20.467636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

회사명대표자회사전화회사주소우편번호주요취급품목업종회사설립일홈페이지HS코드벤처기업인증여부이노비즈인증여부기업부설연구소여부특허건수실용신안건수의장등록건수기타 국내외 인증 건수
01492피앤씨애드유희숙070-4207-9707성남시 분당구 판교로 253 판교이노밸리 B동 901호463400소프트웨어개발 및 공급업, 모바일콘텐츠<NA>NaT<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1올그린티앤지하명호031-737-2091경기도 성남시 중원구 상대원동 311-3 우림라이온스밸리 1116호462120건강식품<NA>2008-10-01www.allgreentng.com<NA><NA><NA><NA><NA><NA><NA><NA>
2바이오버드김종탁031-628-0800경기도 성남시 분당구 삼평동 694-1 코이라바이오파크 B-904463400Aposcan kit, BFGF<NA>2000-03-28www.biobud.com<NA>YY<NA><NA><NA><NA><NA>
3지엘바이오지경민070-4349-1195성남시 수정구 신흥동 5180번지 샤르망 1층<NA>공산품, oem화장품, 산지협력 특산품 등 ?<NA>2011-05-24www.greenbiosys.com<NA>Y<NA><NA>29<NA>2
4인앤시스안근백070-7817-5273경기 성남시 분당구 정자동 54-1 403<NA>차량용 네비게이션<NA>2011-01-20www.innsys.co.kr<NA><NA><NA><NA><NA><NA><NA><NA>
5하비투스반호영070-4235-0215경기도 성남시 분당구 서현동 263 모바일게임센터 1312호463824모바일용 소셜네트워크게임 개발 및 서비스, 뇌졸증 환자 재활 치료를 위한 E-Glove 솔루션<NA>2011-02-15www.habitus.co.kr<NA><NA><NA><NA><NA><NA><NA><NA>
6리얼씨엔아이이맹호070-7433-8669성남시 분당구 야탑동 366-1<NA>소프트웨어<NA>2012-03-07www.realcni.com<NA><NA><NA><NA><NA><NA><NA><NA>
7아마로스김선아031-753-5155경기도 성남시 중원구 상대원동 434-6 벽산테크노피아 905호<NA>브랜드 기능성 화장품, 피부미용기계<NA>2004-05-20www.amaros.co.kr3401191090.0<NA><NA><NA><NA><NA><NA><NA>
8연팩토리황지연031-732-9931중원구 상대원동 138-12 노벨테크노타워 502<NA>유리아트(트로피, 소품, 쥬얼리) 제조<NA>2011-02-28www.glassyeon.co.kr<NA>Y<NA>Y1<NA><NA><NA>
9플레이플러스최철기031-702-0714경기 성남시 중원구 상대원동 190-1 SKn 테크노파크 비즈동 B103호462212소셜, 스마트폰게임 및 어플리케이션<NA>2010-02-18www.playplus.net<NA><NA><NA><NA><NA><NA><NA><NA>
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4497윤진최광일031-715-5876경기 성남시 분당구 구미동 성우스타우스 234호463500공업용선풍기,물티슈외<NA>NaT<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4498아이비식품권기덕031-737-0488경기 성남시 중원구 상대원동 5439-1 스타우드 아파트형공장 b112호462120떡갈비<NA>NaT<NA><NA><NA><NA>Y<NA><NA><NA><NA>
4499현대화학이봉균031-703-4648경기 성남시 분당구 야탑동 분당테크노파크 E동 403호463760문풍지전문생산업체 및 생활잡화제조<NA>1984-08-01www.h-dai.com<NA><NA><NA><NA><NA><NA><NA><NA>
4500제이엠인터내셔날방정욱070-7565-6141경기 성남시 분당구 구미동 시그마2오피스텔 B동405호463741아이팻취, 마스크<NA>NaT<NA><NA><NA><NA><NA><NA><NA><NA><NA>
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4502실리콘투김성운031-783-241경기 성남시 분당구 정자동 파크뷰 오피스타워 1002 1003463863반도체, 메모리, USB 외기타 전자부품 제조업NaT<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4503위드콘안복근031-737-6761경기 성남시 중원구 상대원동 중일 아인스프라츠 503호462120시설물 유지 보수 보강<NA>NaT<NA><NA><NA><NA>Y<NA><NA><NA><NA>
4504딱따구리박정호070-8200-3954경기 성남시 중원구 상대원동 442-5쌍용IT타워 B동 602호462120인터넷라디오방송장비 제조업NaT<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4505종합상사진영박성승031-745-4277경기 성남시 중원구 상대원1동 진영수출포장462811스폰지가공생산,박스,포장자재<NA>NaT<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4506벨리시모전정영031-726-4048경기 성남시 분당구 정자동 32-11 지층1호463848블라인드 원단<NA>NaT<NA><NA><NA><NA><NA><NA><NA><NA><NA>