Overview

Dataset statistics

Number of variables10
Number of observations60
Missing cells87
Missing cells (%)14.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.8 KiB
Average record size in memory82.2 B

Variable types

Text7
DateTime3

Dataset

Description순환자원정보센터 재활용, 순환자원 기업홍보 자료(업체명, 주업종, 부업종, 설립일, 홈페이지, 사업장 주소 등 기본정보)
URLhttps://www.data.go.kr/data/15070428/fileData.do

Alerts

업체주소 has 1 (1.7%) missing valuesMissing
나머지주소 has 3 (5.0%) missing valuesMissing
업체 대표전화 has 1 (1.7%) missing valuesMissing
업체 설립일 has 16 (26.7%) missing valuesMissing
업체 주업종 has 1 (1.7%) missing valuesMissing
업체 부업종 has 17 (28.3%) missing valuesMissing
업체 홈페이지 has 19 (31.7%) missing valuesMissing
수정일시 has 29 (48.3%) missing valuesMissing
등록일시 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:56:07.237263
Analysis finished2023-12-12 11:56:08.779319
Duration1.54 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체 명칭
Text

Distinct59
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-12T20:56:08.983047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length12
Mean length8.0833333
Min length3

Characters and Unicode

Total characters485
Distinct characters142
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

Unique58 ?
Unique (%)96.7%

Sample

1st row주식회사 이엔워터솔루션
2nd row정부물품재활용(주)
3rd row한일정유(주) / 한일정유(주)-경산공장
4th row(주)이에스디케미칼
5th row주식회사 정도
ValueCountFrequency (%)
주식회사 6
 
7.4%
리마켓 4
 
4.9%
주 2
 
2.5%
정도 2
 
2.5%
한국지점 1
 
1.2%
주)굿인 1
 
1.2%
싹쓰리 1
 
1.2%
환경(남희자원 1
 
1.2%
천지환경(주 1
 
1.2%
강남관악점 1
 
1.2%
Other values (61) 61
75.3%
2023-12-12T20:56:09.470254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 41
 
8.5%
( 35
 
7.2%
) 35
 
7.2%
22
 
4.5%
이 16
 
3.3%
사 12
 
2.5%
경 10
 
2.1%
회 9
 
1.9%
환 9
 
1.9%
지 9
 
1.9%
Other values (132) 287
59.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 384
79.2%
Open Punctuation 36
 
7.4%
Close Punctuation 36
 
7.4%
Space Separator 22
 
4.5%
Uppercase Letter 5
 
1.0%
Dash Punctuation 1
 
0.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 41
 
10.7%
이 16
 
4.2%
사 12
 
3.1%
경 10
 
2.6%
회 9
 
2.3%
환 9
 
2.3%
지 9
 
2.3%
산 8
 
2.1%
리 8
 
2.1%
성 7
 
1.8%
Other values (121) 255
66.4%
Uppercase Letter
ValueCountFrequency (%)
O 2
40.0%
A 1
20.0%
M 1
20.0%
C 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 35
97.2%
[ 1
 
2.8%
Close Punctuation
ValueCountFrequency (%)
) 35
97.2%
] 1
 
2.8%
Space Separator
ValueCountFrequency (%)
22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 384
79.2%
Common 96
 
19.8%
Latin 5
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 41
 
10.7%
이 16
 
4.2%
사 12
 
3.1%
경 10
 
2.6%
회 9
 
2.3%
환 9
 
2.3%
지 9
 
2.3%
산 8
 
2.1%
리 8
 
2.1%
성 7
 
1.8%
Other values (121) 255
66.4%
Common
ValueCountFrequency (%)
( 35
36.5%
) 35
36.5%
22
22.9%
- 1
 
1.0%
/ 1
 
1.0%
] 1
 
1.0%
[ 1
 
1.0%
Latin
ValueCountFrequency (%)
O 2
40.0%
A 1
20.0%
M 1
20.0%
C 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 384
79.2%
ASCII 101
 
20.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 41
 
10.7%
이 16
 
4.2%
사 12
 
3.1%
경 10
 
2.6%
회 9
 
2.3%
환 9
 
2.3%
지 9
 
2.3%
산 8
 
2.1%
리 8
 
2.1%
성 7
 
1.8%
Other values (121) 255
66.4%
ASCII
ValueCountFrequency (%)
( 35
34.7%
) 35
34.7%
22
21.8%
O 2
 
2.0%
- 1
 
1.0%
/ 1
 
1.0%
] 1
 
1.0%
[ 1
 
1.0%
A 1
 
1.0%
M 1
 
1.0%

업체주소
Text

MISSING 

Distinct58
Distinct (%)98.3%
Missing1
Missing (%)1.7%
Memory size612.0 B
2023-12-12T20:56:09.930065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length15.220339
Min length9

Characters and Unicode

Total characters898
Distinct characters130
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)96.6%

Sample

1st row충남 당진시 송산면 가곡로 210
2nd row인천 중구 신흥동3가
3rd row경기 시흥시 정왕동
4th row 충남 서산시 성연면 도덕길 112
5th row전남 곡성군 석곡면 곡순로 565-1
ValueCountFrequency (%)
경기 18
 
7.6%
대전 6
 
2.5%
충남 6
 
2.5%
서울 5
 
2.1%
서구 5
 
2.1%
인천 5
 
2.1%
전남 5
 
2.1%
전북 3
 
1.3%
부천시 2
 
0.8%
용인시 2
 
0.8%
Other values (165) 181
76.1%
2023-12-12T20:56:10.570513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
189
 
21.0%
시 32
 
3.6%
구 31
 
3.5%
로 23
 
2.6%
동 22
 
2.4%
1 22
 
2.4%
경 21
 
2.3%
산 20
 
2.2%
기 20
 
2.2%
서 19
 
2.1%
Other values (120) 499
55.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 574
63.9%
Space Separator 189
 
21.0%
Decimal Number 121
 
13.5%
Dash Punctuation 10
 
1.1%
Math Symbol 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 32
 
5.6%
구 31
 
5.4%
로 23
 
4.0%
동 22
 
3.8%
경 21
 
3.7%
산 20
 
3.5%
기 20
 
3.5%
서 19
 
3.3%
면 19
 
3.3%
대 17
 
3.0%
Other values (107) 350
61.0%
Decimal Number
ValueCountFrequency (%)
1 22
18.2%
0 18
14.9%
2 14
11.6%
3 12
9.9%
6 12
9.9%
5 11
9.1%
4 11
9.1%
9 10
8.3%
8 6
 
5.0%
7 5
 
4.1%
Space Separator
ValueCountFrequency (%)
189
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 574
63.9%
Common 324
36.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 32
 
5.6%
구 31
 
5.4%
로 23
 
4.0%
동 22
 
3.8%
경 21
 
3.7%
산 20
 
3.5%
기 20
 
3.5%
서 19
 
3.3%
면 19
 
3.3%
대 17
 
3.0%
Other values (107) 350
61.0%
Common
ValueCountFrequency (%)
189
58.3%
1 22
 
6.8%
0 18
 
5.6%
2 14
 
4.3%
3 12
 
3.7%
6 12
 
3.7%
5 11
 
3.4%
4 11
 
3.4%
9 10
 
3.1%
- 10
 
3.1%
Other values (3) 15
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 574
63.9%
ASCII 324
36.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
189
58.3%
1 22
 
6.8%
0 18
 
5.6%
2 14
 
4.3%
3 12
 
3.7%
6 12
 
3.7%
5 11
 
3.4%
4 11
 
3.4%
9 10
 
3.1%
- 10
 
3.1%
Other values (3) 15
 
4.6%
Hangul
ValueCountFrequency (%)
시 32
 
5.6%
구 31
 
5.4%
로 23
 
4.0%
동 22
 
3.8%
경 21
 
3.7%
산 20
 
3.5%
기 20
 
3.5%
서 19
 
3.3%
면 19
 
3.3%
대 17
 
3.0%
Other values (107) 350
61.0%

나머지주소
Text

MISSING 

Distinct57
Distinct (%)100.0%
Missing3
Missing (%)5.0%
Memory size612.0 B
2023-12-12T20:56:10.773979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length86
Median length22
Mean length10.087719
Min length1

Characters and Unicode

Total characters575
Distinct characters161
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

Unique57 ?
Unique (%)100.0%

Sample

1st row주식회사 이엔워터솔루션
2nd row7-225 정부물품재활용(주)
3rd row 1355-9번지 (시화공단1마 317)
4th row0
5th row곡성군 부산물센터 옆
ValueCountFrequency (%)
1층 4
 
4.0%
옆 2
 
2.0%
169-12 1
 
1.0%
우광개발(주 1
 
1.0%
61-4 1
 
1.0%
강청비누 1
 
1.0%
503-12 1
 
1.0%
창천동 1
 
1.0%
대교빌딩 1
 
1.0%
16층 1
 
1.0%
Other values (87) 87
86.1%
2023-12-12T20:56:11.059529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
46
 
8.0%
1 35
 
6.1%
- 25
 
4.3%
2 24
 
4.2%
5 19
 
3.3%
9 17
 
3.0%
3 17
 
3.0%
4 15
 
2.6%
6 13
 
2.3%
0 13
 
2.3%
Other values (151) 351
61.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 245
42.6%
Decimal Number 170
29.6%
Space Separator 46
 
8.0%
Lowercase Letter 42
 
7.3%
Dash Punctuation 25
 
4.3%
Other Punctuation 15
 
2.6%
Close Punctuation 12
 
2.1%
Open Punctuation 12
 
2.1%
Math Symbol 8
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 12
 
4.9%
지 11
 
4.5%
번 9
 
3.7%
동 8
 
3.3%
산 7
 
2.9%
층 6
 
2.4%
중 5
 
2.0%
호 5
 
2.0%
환 4
 
1.6%
사 4
 
1.6%
Other values (112) 174
71.0%
Lowercase Letter
ValueCountFrequency (%)
o 6
14.3%
e 5
11.9%
c 4
9.5%
p 3
 
7.1%
t 3
 
7.1%
d 3
 
7.1%
i 3
 
7.1%
a 2
 
4.8%
h 2
 
4.8%
r 2
 
4.8%
Other values (6) 9
21.4%
Decimal Number
ValueCountFrequency (%)
1 35
20.6%
2 24
14.1%
5 19
11.2%
9 17
10.0%
3 17
10.0%
4 15
8.8%
6 13
 
7.6%
0 13
 
7.6%
8 9
 
5.3%
7 8
 
4.7%
Other Punctuation
ValueCountFrequency (%)
. 5
33.3%
/ 4
26.7%
" 3
20.0%
: 2
 
13.3%
? 1
 
6.7%
Math Symbol
ValueCountFrequency (%)
> 3
37.5%
= 2
25.0%
< 2
25.0%
+ 1
 
12.5%
Space Separator
ValueCountFrequency (%)
46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 288
50.1%
Hangul 245
42.6%
Latin 42
 
7.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 12
 
4.9%
지 11
 
4.5%
번 9
 
3.7%
동 8
 
3.3%
산 7
 
2.9%
층 6
 
2.4%
중 5
 
2.0%
호 5
 
2.0%
환 4
 
1.6%
사 4
 
1.6%
Other values (112) 174
71.0%
Common
ValueCountFrequency (%)
46
16.0%
1 35
12.2%
- 25
 
8.7%
2 24
 
8.3%
5 19
 
6.6%
9 17
 
5.9%
3 17
 
5.9%
4 15
 
5.2%
6 13
 
4.5%
0 13
 
4.5%
Other values (13) 64
22.2%
Latin
ValueCountFrequency (%)
o 6
14.3%
e 5
11.9%
c 4
9.5%
p 3
 
7.1%
t 3
 
7.1%
d 3
 
7.1%
i 3
 
7.1%
a 2
 
4.8%
h 2
 
4.8%
r 2
 
4.8%
Other values (6) 9
21.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 330
57.4%
Hangul 245
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
46
13.9%
1 35
 
10.6%
- 25
 
7.6%
2 24
 
7.3%
5 19
 
5.8%
9 17
 
5.2%
3 17
 
5.2%
4 15
 
4.5%
6 13
 
3.9%
0 13
 
3.9%
Other values (29) 106
32.1%
Hangul
ValueCountFrequency (%)
주 12
 
4.9%
지 11
 
4.5%
번 9
 
3.7%
동 8
 
3.3%
산 7
 
2.9%
층 6
 
2.4%
중 5
 
2.0%
호 5
 
2.0%
환 4
 
1.6%
사 4
 
1.6%
Other values (112) 174
71.0%

업체 대표전화
Text

MISSING 

Distinct58
Distinct (%)98.3%
Missing1
Missing (%)1.7%
Memory size612.0 B
2023-12-12T20:56:11.285269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length12
Mean length11.983051
Min length9

Characters and Unicode

Total characters707
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)96.6%

Sample

1st row041-356-7960
2nd row032-888-4546
3rd row080-5151-082 , 031-497-2207
4th row070-4633-0693
5th row062-514-6997
ValueCountFrequency (%)
062-514-6997 2
 
3.3%
054-956-6859 1
 
1.6%
051-728-2890 1
 
1.6%
042-482-8539 1
 
1.6%
02-862-9865 1
 
1.6%
033-742-2739 1
 
1.6%
061-323-1882 1
 
1.6%
02-883-0858 1
 
1.6%
054-472-2211 1
 
1.6%
043-851-2917 1
 
1.6%
Other values (50) 50
82.0%
2023-12-12T20:56:11.763835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 112
15.8%
0 95
13.4%
5 73
10.3%
2 67
9.5%
3 65
9.2%
6 63
8.9%
8 55
7.8%
4 54
7.6%
1 52
7.4%
7 40
 
5.7%
Other values (3) 31
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 592
83.7%
Dash Punctuation 112
 
15.8%
Space Separator 2
 
0.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 95
16.0%
5 73
12.3%
2 67
11.3%
3 65
11.0%
6 63
10.6%
8 55
9.3%
4 54
9.1%
1 52
8.8%
7 40
6.8%
9 28
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 112
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 707
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 112
15.8%
0 95
13.4%
5 73
10.3%
2 67
9.5%
3 65
9.2%
6 63
8.9%
8 55
7.8%
4 54
7.6%
1 52
7.4%
7 40
 
5.7%
Other values (3) 31
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 707
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 112
15.8%
0 95
13.4%
5 73
10.3%
2 67
9.5%
3 65
9.2%
6 63
8.9%
8 55
7.8%
4 54
7.6%
1 52
7.4%
7 40
 
5.7%
Other values (3) 31
 
4.4%

업체 설립일
Date

MISSING 

Distinct44
Distinct (%)100.0%
Missing16
Missing (%)26.7%
Memory size612.0 B
Minimum1965-05-29 00:00:00
Maximum2022-04-06 00:00:00
2023-12-12T20:56:11.949144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:56:12.141734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)

업체 주업종
Text

MISSING 

Distinct53
Distinct (%)89.8%
Missing1
Missing (%)1.7%
Memory size612.0 B
2023-12-12T20:56:12.622151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length23
Mean length15.610169
Min length2

Characters and Unicode

Total characters921
Distinct characters160
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 (%)86.4%

Sample

1st row지정폐기물(액상), 폐수 처리업
2nd row기타 도소매 서비스
3rd row정제연료유생산,지정폐기물 수집/운반/처리업
4th row제조,종합재활용업(폐합성수지류)
5th row임목폐기물 처리, 톱밥, 우드칩
ValueCountFrequency (%)
제조 8
 
5.2%
제조업 7
 
4.6%
및 5
 
3.3%
사무가구/가정가구/가전제품/에어컨/oa기기/복합기 4
 
2.6%
서비스 4
 
2.6%
3
 
2.0%
처리 3
 
2.0%
판매 3
 
2.0%
도소매 3
 
2.0%
임목폐기물 2
 
1.3%
Other values (107) 111
72.5%
2023-12-12T20:56:13.263408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
97
 
10.5%
, 40
 
4.3%
기 40
 
4.3%
업 31
 
3.4%
폐 31
 
3.4%
제 29
 
3.1%
/ 27
 
2.9%
가 22
 
2.4%
물 21
 
2.3%
재 20
 
2.2%
Other values (150) 563
61.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 706
76.7%
Space Separator 97
 
10.5%
Other Punctuation 72
 
7.8%
Uppercase Letter 20
 
2.2%
Open Punctuation 13
 
1.4%
Close Punctuation 13
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 40
 
5.7%
업 31
 
4.4%
폐 31
 
4.4%
제 29
 
4.1%
가 22
 
3.1%
물 21
 
3.0%
재 20
 
2.8%
리 19
 
2.7%
조 18
 
2.5%
활 17
 
2.4%
Other values (138) 458
64.9%
Uppercase Letter
ValueCountFrequency (%)
P 8
40.0%
A 4
20.0%
O 4
20.0%
E 2
 
10.0%
C 2
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 40
55.6%
/ 27
37.5%
. 4
 
5.6%
& 1
 
1.4%
Space Separator
ValueCountFrequency (%)
97
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 706
76.7%
Common 195
 
21.2%
Latin 20
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 40
 
5.7%
업 31
 
4.4%
폐 31
 
4.4%
제 29
 
4.1%
가 22
 
3.1%
물 21
 
3.0%
재 20
 
2.8%
리 19
 
2.7%
조 18
 
2.5%
활 17
 
2.4%
Other values (138) 458
64.9%
Common
ValueCountFrequency (%)
97
49.7%
, 40
20.5%
/ 27
 
13.8%
( 13
 
6.7%
) 13
 
6.7%
. 4
 
2.1%
& 1
 
0.5%
Latin
ValueCountFrequency (%)
P 8
40.0%
A 4
20.0%
O 4
20.0%
E 2
 
10.0%
C 2
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 706
76.7%
ASCII 215
 
23.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
97
45.1%
, 40
18.6%
/ 27
 
12.6%
( 13
 
6.0%
) 13
 
6.0%
P 8
 
3.7%
. 4
 
1.9%
A 4
 
1.9%
O 4
 
1.9%
E 2
 
0.9%
Other values (2) 3
 
1.4%
Hangul
ValueCountFrequency (%)
기 40
 
5.7%
업 31
 
4.4%
폐 31
 
4.4%
제 29
 
4.1%
가 22
 
3.1%
물 21
 
3.0%
재 20
 
2.8%
리 19
 
2.7%
조 18
 
2.5%
활 17
 
2.4%
Other values (138) 458
64.9%

업체 부업종
Text

MISSING 

Distinct43
Distinct (%)100.0%
Missing17
Missing (%)28.3%
Memory size612.0 B
2023-12-12T20:56:13.635075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length24
Mean length12.697674
Min length3

Characters and Unicode

Total characters546
Distinct characters161
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

Unique43 ?
Unique (%)100.0%

Sample

1st row중고가구 중고 전자제품외
2nd row도소매,무역
3rd row폐기물재활용업 인허가, 올바로시스템 대행관리, 폐기물처리신고, 배출자신고 업무대행
4th row인터넷 카페 운영(네이버)
5th row고형연료(WCF), 우드칩
ValueCountFrequency (%)
및 4
 
3.9%
플라스틱 3
 
2.9%
폐기물 2
 
1.9%
수집운반업 2
 
1.9%
폐합성수지 2
 
1.9%
판매 2
 
1.9%
처리 2
 
1.9%
재활용상온아스콘,톱밥 1
 
1.0%
중간 1
 
1.0%
금속원료재생업 1
 
1.0%
Other values (83) 83
80.6%
2023-12-12T20:56:14.226648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
62
 
11.4%
, 30
 
5.5%
폐 19
 
3.5%
업 16
 
2.9%
재 12
 
2.2%
제 11
 
2.0%
기 11
 
2.0%
물 10
 
1.8%
수 9
 
1.6%
매 9
 
1.6%
Other values (151) 357
65.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 433
79.3%
Space Separator 62
 
11.4%
Other Punctuation 36
 
6.6%
Open Punctuation 5
 
0.9%
Close Punctuation 5
 
0.9%
Uppercase Letter 5
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
폐 19
 
4.4%
업 16
 
3.7%
재 12
 
2.8%
제 11
 
2.5%
기 11
 
2.5%
물 10
 
2.3%
수 9
 
2.1%
매 9
 
2.1%
리 8
 
1.8%
고 8
 
1.8%
Other values (141) 320
73.9%
Uppercase Letter
ValueCountFrequency (%)
P 2
40.0%
F 1
20.0%
C 1
20.0%
W 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 30
83.3%
/ 3
 
8.3%
. 3
 
8.3%
Space Separator
ValueCountFrequency (%)
62
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 433
79.3%
Common 108
 
19.8%
Latin 5
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
폐 19
 
4.4%
업 16
 
3.7%
재 12
 
2.8%
제 11
 
2.5%
기 11
 
2.5%
물 10
 
2.3%
수 9
 
2.1%
매 9
 
2.1%
리 8
 
1.8%
고 8
 
1.8%
Other values (141) 320
73.9%
Common
ValueCountFrequency (%)
62
57.4%
, 30
27.8%
( 5
 
4.6%
) 5
 
4.6%
/ 3
 
2.8%
. 3
 
2.8%
Latin
ValueCountFrequency (%)
P 2
40.0%
F 1
20.0%
C 1
20.0%
W 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 433
79.3%
ASCII 113
 
20.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
62
54.9%
, 30
26.5%
( 5
 
4.4%
) 5
 
4.4%
/ 3
 
2.7%
. 3
 
2.7%
P 2
 
1.8%
F 1
 
0.9%
C 1
 
0.9%
W 1
 
0.9%
Hangul
ValueCountFrequency (%)
폐 19
 
4.4%
업 16
 
3.7%
재 12
 
2.8%
제 11
 
2.5%
기 11
 
2.5%
물 10
 
2.3%
수 9
 
2.1%
매 9
 
2.1%
리 8
 
1.8%
고 8
 
1.8%
Other values (141) 320
73.9%

업체 홈페이지
Text

MISSING 

Distinct38
Distinct (%)92.7%
Missing19
Missing (%)31.7%
Memory size612.0 B
2023-12-12T20:56:14.588165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length30
Mean length25.268293
Min length7

Characters and Unicode

Total characters1036
Distinct characters52
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 (%)87.8%

Sample

1st rowhttps://enwatersolution.co.kr/
2nd rowhttp://www.korecycle.or.kr/
3rd rowhttp://www.ecoil.co.kr
4th rowhttp://
5th rowhttps://blog.naver.com/jeongdo6997
ValueCountFrequency (%)
http 3
 
7.3%
https://blog.naver.com/jeongdo6997 2
 
4.9%
http://www.sj-korea.co.kr 1
 
2.4%
http://www.sungdo-um.com 1
 
2.4%
https://enwatersolution.co.kr 1
 
2.4%
http://www.ikbtech.com 1
 
2.4%
http://blog.naver.com/goodin119 1
 
2.4%
http://www.cheonjii.com 1
 
2.4%
http://www.remarketg.co.kr 1
 
2.4%
http://cafe.daum.net/daesanenv 1
 
2.4%
Other values (28) 28
68.3%
2023-12-12T20:56:15.158637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 94
 
9.1%
/ 90
 
8.7%
t 86
 
8.3%
w 76
 
7.3%
o 74
 
7.1%
c 54
 
5.2%
e 47
 
4.5%
h 46
 
4.4%
a 46
 
4.4%
r 46
 
4.4%
Other values (42) 377
36.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 752
72.6%
Other Punctuation 225
 
21.7%
Decimal Number 45
 
4.3%
Other Letter 6
 
0.6%
Dash Punctuation 4
 
0.4%
Uppercase Letter 3
 
0.3%
Math Symbol 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 86
11.4%
w 76
 
10.1%
o 74
 
9.8%
c 54
 
7.2%
e 47
 
6.2%
h 46
 
6.1%
a 46
 
6.1%
r 46
 
6.1%
p 42
 
5.6%
n 39
 
5.2%
Other values (15) 196
26.1%
Decimal Number
ValueCountFrequency (%)
1 10
22.2%
0 7
15.6%
9 6
13.3%
3 6
13.3%
2 4
 
8.9%
7 3
 
6.7%
5 3
 
6.7%
6 3
 
6.7%
8 2
 
4.4%
4 1
 
2.2%
Other Punctuation
ValueCountFrequency (%)
. 94
41.8%
/ 90
40.0%
: 35
 
15.6%
% 4
 
1.8%
, 1
 
0.4%
? 1
 
0.4%
Other Letter
ValueCountFrequency (%)
수 1
16.7%
리 1
16.7%
나 1
16.7%
라 1
16.7%
한 1
16.7%
국 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
M 1
33.3%
O 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 755
72.9%
Common 275
 
26.5%
Hangul 6
 
0.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 86
11.4%
w 76
 
10.1%
o 74
 
9.8%
c 54
 
7.2%
e 47
 
6.2%
h 46
 
6.1%
a 46
 
6.1%
r 46
 
6.1%
p 42
 
5.6%
n 39
 
5.2%
Other values (18) 199
26.4%
Common
ValueCountFrequency (%)
. 94
34.2%
/ 90
32.7%
: 35
 
12.7%
1 10
 
3.6%
0 7
 
2.5%
9 6
 
2.2%
3 6
 
2.2%
2 4
 
1.5%
% 4
 
1.5%
- 4
 
1.5%
Other values (8) 15
 
5.5%
Hangul
ValueCountFrequency (%)
수 1
16.7%
리 1
16.7%
나 1
16.7%
라 1
16.7%
한 1
16.7%
국 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1030
99.4%
Hangul 6
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 94
 
9.1%
/ 90
 
8.7%
t 86
 
8.3%
w 76
 
7.4%
o 74
 
7.2%
c 54
 
5.2%
e 47
 
4.6%
h 46
 
4.5%
a 46
 
4.5%
r 46
 
4.5%
Other values (36) 371
36.0%
Hangul
ValueCountFrequency (%)
수 1
16.7%
리 1
16.7%
나 1
16.7%
라 1
16.7%
한 1
16.7%
국 1
16.7%

등록일시
Date

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
Minimum2012-12-19 19:20:00
Maximum2023-02-22 00:22:00
2023-12-12T20:56:15.375989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:56:15.607109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수정일시
Date

MISSING 

Distinct31
Distinct (%)100.0%
Missing29
Missing (%)48.3%
Memory size612.0 B
Minimum2012-12-19 19:24:00
Maximum2023-02-22 00:38:00
2023-12-12T20:56:15.812835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:56:16.004818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

Correlations

2023-12-12T20:56:16.150779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체 명칭업체주소나머지주소업체 대표전화업체 설립일업체 주업종업체 부업종업체 홈페이지등록일시수정일시
업체 명칭1.0001.0001.0001.0001.0000.9891.0001.0001.0001.000
업체주소1.0001.0001.0001.0001.0000.9891.0001.0001.0001.000
나머지주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
업체 대표전화1.0001.0001.0001.0001.0000.9891.0001.0001.0001.000
업체 설립일1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
업체 주업종0.9890.9891.0000.9891.0001.0001.0000.9791.0001.000
업체 부업종1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
업체 홈페이지1.0001.0001.0001.0001.0000.9791.0001.0001.0001.000
등록일시1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
수정일시1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2023-12-12T20:56:08.302505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:56:08.450151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-12T20:56:08.642389image/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

업체 명칭업체주소나머지주소업체 대표전화업체 설립일업체 주업종업체 부업종업체 홈페이지등록일시수정일시
0주식회사 이엔워터솔루션충남 당진시 송산면 가곡로 210주식회사 이엔워터솔루션041-356-79602017-02-06지정폐기물(액상), 폐수 처리업<NA>https://enwatersolution.co.kr/2022-05-26 10:01<NA>
1정부물품재활용(주)인천 중구 신흥동3가7-225 정부물품재활용(주)032-888-45462000-01-10기타 도소매 서비스중고가구 중고 전자제품외http://www.korecycle.or.kr/2013-01-30 17:142015-04-21 17:06
2한일정유(주) / 한일정유(주)-경산공장경기 시흥시 정왕동1355-9번지 (시화공단1마 317)080-5151-082 , 031-497-22071994-02-01정제연료유생산,지정폐기물 수집/운반/처리업<NA>http://www.ecoil.co.kr2014-09-01 11:262014-09-01 11:42
3(주)이에스디케미칼충남 서산시 성연면 도덕길 1120070-4633-06932013-05-11제조,종합재활용업(폐합성수지류)도소매,무역http://2015-11-17 10:542015-11-17 11:14
4주식회사 정도전남 곡성군 석곡면 곡순로 565-1곡성군 부산물센터 옆062-514-69972014-04-02임목폐기물 처리, 톱밥, 우드칩<NA>https://blog.naver.com/jeongdo69972022-04-27 16:32<NA>
5유한회사 온테크세종 절재로 194502호 중앙타운044-865-67252020-04-01폐기물처리업 인허가 & 환경컨설팅폐기물재활용업 인허가, 올바로시스템 대행관리, 폐기물처리신고, 배출자신고 업무대행http://blog.naver.com/on41232023-02-22 00:222023-02-22 00:38
6해피투게더경기 광명시 소하동33-31번지02-830-3457<NA>생활가전 전시상품, 리퍼브, 창고형 매장인터넷 카페 운영(네이버)http://cafe.naver.com/boog50032012-12-19 19:202012-12-19 19:24
7영진이엔지<NA><NA>031-871-0562<NA>폐목재류고형연료(WCF), 우드칩<NA>2012-12-28 08:22<NA>
8삼호환경기술(주)경기 용인시 처인구 남사면 북리84-6031-322-35072000-10-01종합재활용업수집운반업www.samhoenv.co.kr2013-03-26 16:40<NA>
9한산케미칼(주)충남 서천군 화양면 화촌리230041-951-2067<NA>제조업플라스틱 발포 성형제품http://2014-02-07 09:13<NA>
업체 명칭업체주소나머지주소업체 대표전화업체 설립일업체 주업종업체 부업종업체 홈페이지등록일시수정일시
50주식회사 정도전남 곡성군 석곡면 곡순로 565-1곡성 부산물 자원화 센터 옆062-514-69972014-02-19임목폐기물 처리목재파쇄기, 톱밥,우드칩생산, 벌목, 올바로https://blog.naver.com/jeongdo69972020-08-07 13:50<NA>
51[주]제일업사이클산업경기 오산시 서동로 83-9제일업사이클산업031-353-42222018-07-24폐기물종합재활용업(폐현수막), 처리, 수집, 운반업 / 재활용제품(마대, 로프)<NA><NA>2020-09-16 14:492020-09-16 15:12
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