Overview

Dataset statistics

Number of variables8
Number of observations36
Missing cells7
Missing cells (%)2.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory68.7 B

Variable types

Numeric1
Text5
Categorical2

Dataset

Description인천광역시 서구에 위차한 화학제품 제조업체에 관한 데이터셋입니다. 인천광역시 서구에 위치한 화학제품 제조업체의 회사명, 생산품, 업종명, 대표주소, 전화번호, 팩스번호에 관한 정보를 포함하고 있습니다.
URLhttps://www.data.go.kr/data/15089632/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 5 (13.9%) missing valuesMissing
팩스번호 has 2 (5.6%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:54:44.632962
Analysis finished2023-12-12 22:54:45.621456
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.5
Minimum1
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-13T07:54:45.695462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.75
Q19.75
median18.5
Q327.25
95-th percentile34.25
Maximum36
Range35
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation10.535654
Coefficient of variation (CV)0.5694948
Kurtosis-1.2
Mean18.5
Median Absolute Deviation (MAD)9
Skewness0
Sum666
Variance111
MonotonicityStrictly increasing
2023-12-13T07:54:45.864919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1 1
 
2.8%
20 1
 
2.8%
22 1
 
2.8%
23 1
 
2.8%
24 1
 
2.8%
25 1
 
2.8%
26 1
 
2.8%
27 1
 
2.8%
28 1
 
2.8%
29 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
1 1
2.8%
2 1
2.8%
3 1
2.8%
4 1
2.8%
5 1
2.8%
6 1
2.8%
7 1
2.8%
8 1
2.8%
9 1
2.8%
10 1
2.8%
ValueCountFrequency (%)
36 1
2.8%
35 1
2.8%
34 1
2.8%
33 1
2.8%
32 1
2.8%
31 1
2.8%
30 1
2.8%
29 1
2.8%
28 1
2.8%
27 1
2.8%

회사명
Text

Distinct35
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-13T07:54:46.113901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11.5
Mean length7.5
Min length3

Characters and Unicode

Total characters270
Distinct characters106
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

Unique34 ?
Unique (%)94.4%

Sample

1st row(주)경기정밀화학
2nd row(주)고뫄스방수 (인천지점)
3rd row(주)라인켐
4th row(주)미산알앤씨
5th row(주)브레인테크
ValueCountFrequency (%)
범진소재(주 2
 
5.1%
길맥이앤씨 1
 
2.6%
유로7케미칼 1
 
2.6%
엠디컴퍼니 1
 
2.6%
디에스엠(주 1
 
2.6%
석연mro 1
 
2.6%
아주산업(주)가좌공장 1
 
2.6%
에스에이케이랩스 1
 
2.6%
에스티케이케미칼(주 1
 
2.6%
주식회사 1
 
2.6%
Other values (28) 28
71.8%
2023-12-13T07:54:46.471262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 25
 
9.3%
주 25
 
9.3%
) 25
 
9.3%
이 12
 
4.4%
스 9
 
3.3%
미 6
 
2.2%
케 6
 
2.2%
화 5
 
1.9%
학 5
 
1.9%
에 5
 
1.9%
Other values (96) 147
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 209
77.4%
Open Punctuation 25
 
9.3%
Close Punctuation 25
 
9.3%
Uppercase Letter 6
 
2.2%
Space Separator 3
 
1.1%
Decimal Number 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 25
 
12.0%
이 12
 
5.7%
스 9
 
4.3%
미 6
 
2.9%
케 6
 
2.9%
화 5
 
2.4%
학 5
 
2.4%
에 5
 
2.4%
씨 5
 
2.4%
앤 4
 
1.9%
Other values (85) 127
60.8%
Uppercase Letter
ValueCountFrequency (%)
O 1
16.7%
M 1
16.7%
R 1
16.7%
T 1
16.7%
C 1
16.7%
N 1
16.7%
Decimal Number
ValueCountFrequency (%)
7 1
50.0%
1 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 209
77.4%
Common 55
 
20.4%
Latin 6
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 25
 
12.0%
이 12
 
5.7%
스 9
 
4.3%
미 6
 
2.9%
케 6
 
2.9%
화 5
 
2.4%
학 5
 
2.4%
에 5
 
2.4%
씨 5
 
2.4%
앤 4
 
1.9%
Other values (85) 127
60.8%
Latin
ValueCountFrequency (%)
O 1
16.7%
M 1
16.7%
R 1
16.7%
T 1
16.7%
C 1
16.7%
N 1
16.7%
Common
ValueCountFrequency (%)
( 25
45.5%
) 25
45.5%
3
 
5.5%
7 1
 
1.8%
1 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 209
77.4%
ASCII 61
 
22.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 25
41.0%
) 25
41.0%
3
 
4.9%
O 1
 
1.6%
7 1
 
1.6%
M 1
 
1.6%
R 1
 
1.6%
1 1
 
1.6%
T 1
 
1.6%
C 1
 
1.6%
Hangul
ValueCountFrequency (%)
주 25
 
12.0%
이 12
 
5.7%
스 9
 
4.3%
미 6
 
2.9%
케 6
 
2.9%
화 5
 
2.4%
학 5
 
2.4%
에 5
 
2.4%
씨 5
 
2.4%
앤 4
 
1.9%
Other values (85) 127
60.8%

생산품
Text

Distinct34
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-13T07:54:46.723421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length12
Mean length8.4722222
Min length2

Characters and Unicode

Total characters305
Distinct characters130
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

Unique33 ?
Unique (%)91.7%

Sample

1st row폐수처리제, 표면처리제
2nd row방수재
3rd row금속표면처리 용제
4th row석탄관리약제
5th rowDry Film Photoresist, 케이블(LVDS, EDP), PCBA, Android Box
ValueCountFrequency (%)
도금약품 4
 
6.9%
코팅액 2
 
3.4%
용제 2
 
3.4%
금속표면처리 2
 
3.4%
표면처리제 2
 
3.4%
산화막제거제 1
 
1.7%
flux/thinner 1
 
1.7%
방수재 1
 
1.7%
방수제 1
 
1.7%
아세트산팔라듐 1
 
1.7%
Other values (41) 41
70.7%
2023-12-13T07:54:47.131202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22
 
7.2%
제 17
 
5.6%
, 13
 
4.3%
용 8
 
2.6%
리 8
 
2.6%
금 8
 
2.6%
약 7
 
2.3%
표 6
 
2.0%
면 6
 
2.0%
품 6
 
2.0%
Other values (120) 204
66.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 217
71.1%
Uppercase Letter 27
 
8.9%
Lowercase Letter 23
 
7.5%
Space Separator 22
 
7.2%
Other Punctuation 14
 
4.6%
Close Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 17
 
7.8%
용 8
 
3.7%
리 8
 
3.7%
금 8
 
3.7%
약 7
 
3.2%
표 6
 
2.8%
면 6
 
2.8%
품 6
 
2.8%
처 6
 
2.8%
스 6
 
2.8%
Other values (85) 139
64.1%
Uppercase Letter
ValueCountFrequency (%)
D 3
11.1%
P 3
11.1%
F 2
 
7.4%
L 2
 
7.4%
E 2
 
7.4%
B 2
 
7.4%
A 2
 
7.4%
N 2
 
7.4%
U 1
 
3.7%
R 1
 
3.7%
Other values (7) 7
25.9%
Lowercase Letter
ValueCountFrequency (%)
o 4
17.4%
r 3
13.0%
i 3
13.0%
t 2
8.7%
s 2
8.7%
d 2
8.7%
x 1
 
4.3%
n 1
 
4.3%
e 1
 
4.3%
h 1
 
4.3%
Other values (3) 3
13.0%
Other Punctuation
ValueCountFrequency (%)
, 13
92.9%
/ 1
 
7.1%
Space Separator
ValueCountFrequency (%)
22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 217
71.1%
Latin 50
 
16.4%
Common 38
 
12.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 17
 
7.8%
용 8
 
3.7%
리 8
 
3.7%
금 8
 
3.7%
약 7
 
3.2%
표 6
 
2.8%
면 6
 
2.8%
품 6
 
2.8%
처 6
 
2.8%
스 6
 
2.8%
Other values (85) 139
64.1%
Latin
ValueCountFrequency (%)
o 4
 
8.0%
D 3
 
6.0%
r 3
 
6.0%
i 3
 
6.0%
P 3
 
6.0%
F 2
 
4.0%
t 2
 
4.0%
s 2
 
4.0%
L 2
 
4.0%
E 2
 
4.0%
Other values (20) 24
48.0%
Common
ValueCountFrequency (%)
22
57.9%
, 13
34.2%
/ 1
 
2.6%
) 1
 
2.6%
( 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 217
71.1%
ASCII 88
28.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22
25.0%
, 13
14.8%
o 4
 
4.5%
D 3
 
3.4%
r 3
 
3.4%
i 3
 
3.4%
P 3
 
3.4%
F 2
 
2.3%
t 2
 
2.3%
s 2
 
2.3%
Other values (25) 31
35.2%
Hangul
ValueCountFrequency (%)
제 17
 
7.8%
용 8
 
3.7%
리 8
 
3.7%
금 8
 
3.7%
약 7
 
3.2%
표 6
 
2.8%
면 6
 
2.8%
품 6
 
2.8%
처 6
 
2.8%
스 6
 
2.8%
Other values (85) 139
64.1%

업종명
Categorical

Distinct6
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size420.0 B
그 외 기타 분류 안된 화학제품 제조업
20 
그 외 기타 분류 안된 화학제품 제조업 외 1 종
11 
그 외 기타 분류 안된 화학제품 제조업 외 2 종
 
2
감광재료 및 관련 화학제품 제조업 외 6 종
 
1
그 외 기타 분류 안된 화학제품 제조업 외 4 종
 
1

Length

Max length27
Median length21
Mean length23.333333
Min length18

Unique

Unique3 ?
Unique (%)8.3%

Sample

1st row그 외 기타 분류 안된 화학제품 제조업 외 2 종
2nd row그 외 기타 분류 안된 화학제품 제조업
3rd row그 외 기타 분류 안된 화학제품 제조업
4th row그 외 기타 분류 안된 화학제품 제조업
5th row감광재료 및 관련 화학제품 제조업 외 6 종

Common Values

ValueCountFrequency (%)
그 외 기타 분류 안된 화학제품 제조업 20
55.6%
그 외 기타 분류 안된 화학제품 제조업 외 1 종 11
30.6%
그 외 기타 분류 안된 화학제품 제조업 외 2 종 2
 
5.6%
감광재료 및 관련 화학제품 제조업 외 6 종 1
 
2.8%
그 외 기타 분류 안된 화학제품 제조업 외 4 종 1
 
2.8%
감광재료 및 관련 화학제품 제조업 1
 
2.8%

Length

2023-12-13T07:54:47.304351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:54:47.445098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외 49
16.7%
화학제품 36
12.3%
제조업 36
12.3%
그 34
11.6%
기타 34
11.6%
분류 34
11.6%
안된 34
11.6%
종 15
 
5.1%
1 11
 
3.8%
2 2
 
0.7%
Other values (5) 8
 
2.7%

대표주소
Text

Distinct34
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-13T07:54:47.743508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length38
Mean length32.416667
Min length20

Characters and Unicode

Total characters1167
Distinct characters107
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

Unique32 ?
Unique (%)88.9%

Sample

1st row인천광역시 서구 보도진로41번길 18 (가좌동)
2nd row인천광역시 서구 도담로 132 (오류동)
3rd row인천광역시 서구 이든로 5 (오류동)
4th row인천광역시 서구 중봉대로286번길 33 (석남동, 강성P&D)
5th row인천광역시 서구 봉수대로161번길 42 (가좌동)
ValueCountFrequency (%)
인천광역시 36
 
14.9%
서구 36
 
14.9%
가좌동 15
 
6.2%
오류동 10
 
4.1%
1동 8
 
3.3%
가람로 6
 
2.5%
14 6
 
2.5%
인천표면처리센터 6
 
2.5%
요진코아텍 3
 
1.2%
석남동 3
 
1.2%
Other values (92) 113
46.7%
2023-12-13T07:54:48.260698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
206
 
17.7%
1 56
 
4.8%
동 50
 
4.3%
인 43
 
3.7%
천 43
 
3.7%
서 39
 
3.3%
광 37
 
3.2%
( 36
 
3.1%
) 36
 
3.1%
구 36
 
3.1%
Other values (97) 585
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 656
56.2%
Space Separator 206
 
17.7%
Decimal Number 197
 
16.9%
Open Punctuation 36
 
3.1%
Close Punctuation 36
 
3.1%
Other Punctuation 19
 
1.6%
Dash Punctuation 11
 
0.9%
Uppercase Letter 6
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 50
 
7.6%
인 43
 
6.6%
천 43
 
6.6%
서 39
 
5.9%
광 37
 
5.6%
구 36
 
5.5%
시 36
 
5.5%
역 36
 
5.5%
로 34
 
5.2%
가 30
 
4.6%
Other values (75) 272
41.5%
Decimal Number
ValueCountFrequency (%)
1 56
28.4%
3 22
 
11.2%
4 20
 
10.2%
6 19
 
9.6%
2 19
 
9.6%
0 15
 
7.6%
8 13
 
6.6%
5 13
 
6.6%
7 12
 
6.1%
9 8
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
O 1
16.7%
R 1
16.7%
M 1
16.7%
A 1
16.7%
P 1
16.7%
D 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 18
94.7%
& 1
 
5.3%
Space Separator
ValueCountFrequency (%)
206
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 656
56.2%
Common 505
43.3%
Latin 6
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 50
 
7.6%
인 43
 
6.6%
천 43
 
6.6%
서 39
 
5.9%
광 37
 
5.6%
구 36
 
5.5%
시 36
 
5.5%
역 36
 
5.5%
로 34
 
5.2%
가 30
 
4.6%
Other values (75) 272
41.5%
Common
ValueCountFrequency (%)
206
40.8%
1 56
 
11.1%
( 36
 
7.1%
) 36
 
7.1%
3 22
 
4.4%
4 20
 
4.0%
6 19
 
3.8%
2 19
 
3.8%
, 18
 
3.6%
0 15
 
3.0%
Other values (6) 58
 
11.5%
Latin
ValueCountFrequency (%)
O 1
16.7%
R 1
16.7%
M 1
16.7%
A 1
16.7%
P 1
16.7%
D 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 656
56.2%
ASCII 511
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
206
40.3%
1 56
 
11.0%
( 36
 
7.0%
) 36
 
7.0%
3 22
 
4.3%
4 20
 
3.9%
6 19
 
3.7%
2 19
 
3.7%
, 18
 
3.5%
0 15
 
2.9%
Other values (12) 64
 
12.5%
Hangul
ValueCountFrequency (%)
동 50
 
7.6%
인 43
 
6.6%
천 43
 
6.6%
서 39
 
5.9%
광 37
 
5.6%
구 36
 
5.5%
시 36
 
5.5%
역 36
 
5.5%
로 34
 
5.2%
가 30
 
4.6%
Other values (75) 272
41.5%

전화번호
Text

MISSING 

Distinct30
Distinct (%)96.8%
Missing5
Missing (%)13.9%
Memory size420.0 B
2023-12-13T07:54:48.492470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.064516
Min length11

Characters and Unicode

Total characters374
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)93.5%

Sample

1st row032-442-9600
2nd row032-563-1473
3rd row032-547-7928
4th row070-4027-1074
5th row032-814-6417
ValueCountFrequency (%)
032-561-1515 2
 
6.5%
032-564-1731 1
 
3.2%
032-442-9600 1
 
3.2%
032-574-1989 1
 
3.2%
032-577-6171 1
 
3.2%
032-431-2248 1
 
3.2%
032-578-4711 1
 
3.2%
032-576-6330 1
 
3.2%
032-777-7008 1
 
3.2%
032-567-1280 1
 
3.2%
Other values (20) 20
64.5%
2023-12-13T07:54:48.845427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 62
16.6%
0 49
13.1%
3 46
12.3%
2 45
12.0%
5 35
9.4%
7 34
9.1%
1 32
8.6%
6 21
 
5.6%
4 18
 
4.8%
9 17
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 312
83.4%
Dash Punctuation 62
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 49
15.7%
3 46
14.7%
2 45
14.4%
5 35
11.2%
7 34
10.9%
1 32
10.3%
6 21
6.7%
4 18
 
5.8%
9 17
 
5.4%
8 15
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 374
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 62
16.6%
0 49
13.1%
3 46
12.3%
2 45
12.0%
5 35
9.4%
7 34
9.1%
1 32
8.6%
6 21
 
5.6%
4 18
 
4.8%
9 17
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 374
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 62
16.6%
0 49
13.1%
3 46
12.3%
2 45
12.0%
5 35
9.4%
7 34
9.1%
1 32
8.6%
6 21
 
5.6%
4 18
 
4.8%
9 17
 
4.5%

팩스번호
Text

MISSING 

Distinct32
Distinct (%)94.1%
Missing2
Missing (%)5.6%
Memory size420.0 B
2023-12-13T07:54:49.058579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12
Min length11

Characters and Unicode

Total characters408
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)88.2%

Sample

1st row032-442-9609
2nd row02-790-7717
3rd row032-547-7929
4th row02-325-0591
5th row032-814-6419
ValueCountFrequency (%)
032-561-1513 2
 
5.9%
032-566-8394 2
 
5.9%
032-442-9609 1
 
2.9%
032-764-7862 1
 
2.9%
032-571-0792 1
 
2.9%
031-656-0164 1
 
2.9%
032-575-2493 1
 
2.9%
032-584-2950 1
 
2.9%
032-567-1179 1
 
2.9%
032-571-3321 1
 
2.9%
Other values (22) 22
64.7%
2023-12-13T07:54:49.401806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 68
16.7%
2 52
12.7%
0 51
12.5%
3 51
12.5%
5 34
8.3%
1 32
7.8%
6 29
7.1%
9 27
 
6.6%
7 27
 
6.6%
4 20
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 340
83.3%
Dash Punctuation 68
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 52
15.3%
0 51
15.0%
3 51
15.0%
5 34
10.0%
1 32
9.4%
6 29
8.5%
9 27
7.9%
7 27
7.9%
4 20
 
5.9%
8 17
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 408
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 68
16.7%
2 52
12.7%
0 51
12.5%
3 51
12.5%
5 34
8.3%
1 32
7.8%
6 29
7.1%
9 27
 
6.6%
7 27
 
6.6%
4 20
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 408
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 68
16.7%
2 52
12.7%
0 51
12.5%
3 51
12.5%
5 34
8.3%
1 32
7.8%
6 29
7.1%
9 27
 
6.6%
7 27
 
6.6%
4 20
 
4.9%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
2022-09-19
36 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-09-19
2nd row2022-09-19
3rd row2022-09-19
4th row2022-09-19
5th row2022-09-19

Common Values

ValueCountFrequency (%)
2022-09-19 36
100.0%

Length

2023-12-13T07:54:49.521582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:54:49.593339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-09-19 36
100.0%

Interactions

2023-12-13T07:54:45.175526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:54:49.643149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번회사명생산품업종명대표주소전화번호팩스번호
순번1.0001.0000.9530.0640.8640.9740.972
회사명1.0001.0000.9791.0000.9791.0001.000
생산품0.9530.9791.0000.9770.9750.9910.977
업종명0.0641.0000.9771.0001.0001.0001.000
대표주소0.8640.9790.9751.0001.0000.9910.977
전화번호0.9741.0000.9911.0000.9911.0001.000
팩스번호0.9721.0000.9771.0000.9771.0001.000
2023-12-13T07:54:49.729076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번업종명
순번1.0000.101
업종명0.1011.000

Missing values

2023-12-13T07:54:45.331106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:54:45.473229image/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.
2023-12-13T07:54:45.569867image/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

순번회사명생산품업종명대표주소전화번호팩스번호데이터기준일자
01(주)경기정밀화학폐수처리제, 표면처리제그 외 기타 분류 안된 화학제품 제조업 외 2 종인천광역시 서구 보도진로41번길 18 (가좌동)032-442-9600032-442-96092022-09-19
12(주)고뫄스방수 (인천지점)방수재그 외 기타 분류 안된 화학제품 제조업인천광역시 서구 도담로 132 (오류동)032-563-147302-790-77172022-09-19
23(주)라인켐금속표면처리 용제그 외 기타 분류 안된 화학제품 제조업인천광역시 서구 이든로 5 (오류동)032-547-7928032-547-79292022-09-19
34(주)미산알앤씨석탄관리약제그 외 기타 분류 안된 화학제품 제조업인천광역시 서구 중봉대로286번길 33 (석남동, 강성P&D)070-4027-107402-325-05912022-09-19
45(주)브레인테크Dry Film Photoresist, 케이블(LVDS, EDP), PCBA, Android Box감광재료 및 관련 화학제품 제조업 외 6 종인천광역시 서구 봉수대로161번길 42 (가좌동)032-814-6417032-814-64192022-09-19
56(주)비에스씨앤씨 검단지점황산동그 외 기타 분류 안된 화학제품 제조업 외 1 종인천광역시 서구 마중로 10(오류동)032-572-1497032-572-14012022-09-19
67(주)세안휴대용부탄가스그 외 기타 분류 안된 화학제품 제조업인천광역시 서구 길주로44번길 24 (석남동) 외 3필지032-571-1955032-270-34152022-09-19
78(주)스이레이도금약품그 외 기타 분류 안된 화학제품 제조업인천광역시 서구 가람로 14, 4층 인천표면처리센터 코아텍 410호 (오류동)032-585-6119032-585-61202022-09-19
89(주)아이케이텍금속표면처리 용제, 전기판넬, 기계제작, 실험실용배기기,마스크그 외 기타 분류 안된 화학제품 제조업 외 4 종인천광역시 서구 이든1로 15 (오류동)032-681-9897032-681-98962022-09-19
910(주)액시드표면코팅용 코팅액그 외 기타 분류 안된 화학제품 제조업인천광역시 서구 가재울로 109 (가좌동) -동 -층 508호<NA>032-575-94582022-09-19
순번회사명생산품업종명대표주소전화번호팩스번호데이터기준일자
2627에스티케이케미칼(주)현상전용액그 외 기타 분류 안된 화학제품 제조업 외 1 종인천광역시 서구 건지로 120-12 (가좌동)032-578-7793032-764-78622022-09-19
2728엠디컴퍼니혈액, 소변 검사용 시약그 외 기타 분류 안된 화학제품 제조업인천광역시 서구 가람로 14 (오류동) 인천표면처리센터 요진코아텍 1동 8층 816호032-567-1280032-567-11792022-09-19
2829유로7케미칼요소수그 외 기타 분류 안된 화학제품 제조업인천광역시 서구 마중1로 13 (오류동)032-777-7008032-232-39992022-09-19
2930이노켐현상액, 표면처리약품그 외 기타 분류 안된 화학제품 제조업 외 1 종인천광역시 서구 보도진로 62-11 (가좌동)032-576-6330032-576-17092022-09-19
3031인천화학(주)도금약품그 외 기타 분류 안된 화학제품 제조업 외 1 종인천광역시 서구 건지로 98-21 (가좌동, 인천화학 3동) 외 1필지032-578-4711032-578-47162022-09-19
3132정우통상알미늄탈가스제,주물부자재그 외 기타 분류 안된 화학제품 제조업 외 1 종인천광역시 서구 사렴로43번길 22 (경서동, 가동)032-561-1515032-561-15132022-09-19
3233정우통상(1공장)주물부자재그 외 기타 분류 안된 화학제품 제조업 외 1 종인천광역시 서구 경서동 363-188번지032-561-1515032-561-15132022-09-19
3334창신산케미산업용세정제그 외 기타 분류 안된 화학제품 제조업 외 1 종인천광역시 서구 가좌동 173-217 번지 가동 106호032-431-2248032-431-22492022-09-19
3435트윈제이시스템재생토너감광재료 및 관련 화학제품 제조업인천광역시 서구 봉수대로 141, A동 3층 306 (가좌동, 현광아파트형공장)032-577-6171032-576-61712022-09-19
3536한가람화학(주)도금약품, 표면처리제그 외 기타 분류 안된 화학제품 제조업인천광역시 서구 가람로 14, 3층 인천표면처리센터 코아텍 307호 (오류동)032-565-3839032-565-38412022-09-19