Overview

Dataset statistics

Number of variables9
Number of observations475
Missing cells297
Missing cells (%)6.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.5 KiB
Average record size in memory72.3 B

Variable types

Categorical4
DateTime1
Text4

Dataset

Description경기도 평택시 내의 폐기물 처리 업체 현황 정보(인허가일자, 업종 구분, 업체명, 주소, 처리대상폐기물정보 등)를 제공합니다.
Author경기도 평택시
URLhttps://www.data.go.kr/data/15081212/fileData.do

Alerts

시군명 has constant value ""Constant
영업상태 has constant value ""Constant
데이터기준일자 has constant value ""Constant
도로명 주소 has 31 (6.5%) missing valuesMissing
지번주소 has 266 (56.0%) missing valuesMissing

Reproduction

Analysis started2023-12-12 12:21:16.858727
Analysis finished2023-12-12 12:21:17.735359
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
평택시
475 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row평택시
2nd row평택시
3rd row평택시
4th row평택시
5th row평택시

Common Values

ValueCountFrequency (%)
평택시 475
100.0%

Length

2023-12-12T21:21:17.810459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:21:17.914836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평택시 475
100.0%

인허가일자
Date

Distinct404
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
Minimum1992-08-12 00:00:00
Maximum2022-12-21 00:00:00
2023-12-12T21:21:18.057233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:21:18.213774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
운영중
475 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row운영중
2nd row운영중
3rd row운영중
4th row운영중
5th row운영중

Common Values

ValueCountFrequency (%)
운영중 475
100.0%

Length

2023-12-12T21:21:18.347443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:21:18.448557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 475
100.0%

업종 구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
수집운반업체
300 
처리업체
175 

Length

Max length6
Median length6
Mean length5.2631579
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row처리업체
2nd row처리업체
3rd row처리업체
4th row처리업체
5th row처리업체

Common Values

ValueCountFrequency (%)
수집운반업체 300
63.2%
처리업체 175
36.8%

Length

2023-12-12T21:21:18.595151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:21:18.747106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수집운반업체 300
63.2%
처리업체 175
36.8%

업체명
Text

Distinct402
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2023-12-12T21:21:19.130853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length14
Mean length5.6315789
Min length2

Characters and Unicode

Total characters2675
Distinct characters287
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique341 ?
Unique (%)71.8%

Sample

1st row㈜올포켐
2nd row기성스틸 주식회사 평택지점
3rd row강산환경
4th row㈜복지상사
5th row광영플라스틱
ValueCountFrequency (%)
주식회사 7
 
1.4%
㈜주원 5
 
1.0%
㈜에프알에너지 4
 
0.8%
㈜제이에스산업개발 3
 
0.6%
㈜코어메탈 3
 
0.6%
평택지점 3
 
0.6%
현대비철금속 3
 
0.6%
㈜대한소재 3
 
0.6%
평택환경(주 3
 
0.6%
크린자원산업㈜ 3
 
0.6%
Other values (400) 458
92.5%
2023-12-12T21:21:19.730603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 200
 
7.5%
경 133
 
5.0%
환 124
 
4.6%
이 87
 
3.3%
산 79
 
3.0%
업 70
 
2.6%
에 68
 
2.5%
스 66
 
2.5%
주 59
 
2.2%
원 58
 
2.2%
Other values (277) 1731
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2324
86.9%
Other Symbol 200
 
7.5%
Open Punctuation 48
 
1.8%
Close Punctuation 48
 
1.8%
Uppercase Letter 27
 
1.0%
Space Separator 20
 
0.7%
Decimal Number 4
 
0.1%
Other Punctuation 3
 
0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 133
 
5.7%
환 124
 
5.3%
이 87
 
3.7%
산 79
 
3.4%
업 70
 
3.0%
에 68
 
2.9%
스 66
 
2.8%
주 59
 
2.5%
원 58
 
2.5%
자 42
 
1.8%
Other values (252) 1538
66.2%
Uppercase Letter
ValueCountFrequency (%)
K 5
18.5%
M 4
14.8%
E 2
 
7.4%
S 2
 
7.4%
O 2
 
7.4%
R 2
 
7.4%
A 2
 
7.4%
I 2
 
7.4%
J 1
 
3.7%
D 1
 
3.7%
Other values (4) 4
14.8%
Open Punctuation
ValueCountFrequency (%)
( 46
95.8%
[ 2
 
4.2%
Close Punctuation
ValueCountFrequency (%)
) 46
95.8%
] 2
 
4.2%
Decimal Number
ValueCountFrequency (%)
2 3
75.0%
1 1
 
25.0%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
& 1
33.3%
Other Symbol
ValueCountFrequency (%)
㈜ 200
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2522
94.3%
Common 124
 
4.6%
Latin 27
 
1.0%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 200
 
7.9%
경 133
 
5.3%
환 124
 
4.9%
이 87
 
3.4%
산 79
 
3.1%
업 70
 
2.8%
에 68
 
2.7%
스 66
 
2.6%
주 59
 
2.3%
원 58
 
2.3%
Other values (251) 1578
62.6%
Latin
ValueCountFrequency (%)
K 5
18.5%
M 4
14.8%
E 2
 
7.4%
S 2
 
7.4%
O 2
 
7.4%
R 2
 
7.4%
A 2
 
7.4%
I 2
 
7.4%
J 1
 
3.7%
D 1
 
3.7%
Other values (4) 4
14.8%
Common
ValueCountFrequency (%)
( 46
37.1%
) 46
37.1%
20
16.1%
2 3
 
2.4%
. 2
 
1.6%
] 2
 
1.6%
[ 2
 
1.6%
& 1
 
0.8%
1 1
 
0.8%
_ 1
 
0.8%
Han
ValueCountFrequency (%)
漢 1
50.0%
省 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2322
86.8%
None 200
 
7.5%
ASCII 151
 
5.6%
CJK 2
 
0.1%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 200
100.0%
Hangul
ValueCountFrequency (%)
경 133
 
5.7%
환 124
 
5.3%
이 87
 
3.7%
산 79
 
3.4%
업 70
 
3.0%
에 68
 
2.9%
스 66
 
2.8%
주 59
 
2.5%
원 58
 
2.5%
자 42
 
1.8%
Other values (250) 1536
66.1%
ASCII
ValueCountFrequency (%)
( 46
30.5%
) 46
30.5%
20
13.2%
K 5
 
3.3%
M 4
 
2.6%
2 3
 
2.0%
. 2
 
1.3%
] 2
 
1.3%
E 2
 
1.3%
S 2
 
1.3%
Other values (14) 19
12.6%
CJK
ValueCountFrequency (%)
漢 1
50.0%
省 1
50.0%

도로명 주소
Text

MISSING 

Distinct392
Distinct (%)88.3%
Missing31
Missing (%)6.5%
Memory size3.8 KiB
2023-12-12T21:21:20.120684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length38
Mean length24.087838
Min length12

Characters and Unicode

Total characters10695
Distinct characters186
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

Unique344 ?
Unique (%)77.5%

Sample

1st row경기도 평택시 고덕면 안재홍로 149
2nd row경기도 평택시 포승읍 포승장안로 542-37
3rd row경기도 평택시 고덕면 고덕북로 218-5
4th row경기도 평택시 고덕면 방축길 182
5th row경기도 평택시 청북읍 삼계길 123
ValueCountFrequency (%)
경기도 444
 
18.8%
평택시 444
 
18.8%
청북읍 108
 
4.6%
안중읍 32
 
1.4%
중앙2로 26
 
1.1%
포승읍 26
 
1.1%
진위면 25
 
1.1%
13 24
 
1.0%
경기대로 23
 
1.0%
청북중앙로 22
 
0.9%
Other values (596) 1185
50.2%
2023-12-12T21:21:20.692497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1922
 
18.0%
1 532
 
5.0%
기 472
 
4.4%
경 468
 
4.4%
평 459
 
4.3%
택 459
 
4.3%
도 457
 
4.3%
시 445
 
4.2%
2 388
 
3.6%
로 284
 
2.7%
Other values (176) 4809
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5741
53.7%
Decimal Number 2417
22.6%
Space Separator 1922
 
18.0%
Dash Punctuation 262
 
2.4%
Other Punctuation 202
 
1.9%
Close Punctuation 63
 
0.6%
Open Punctuation 63
 
0.6%
Uppercase Letter 25
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 472
 
8.2%
경 468
 
8.2%
평 459
 
8.0%
택 459
 
8.0%
도 457
 
8.0%
시 445
 
7.8%
로 284
 
4.9%
길 196
 
3.4%
청 179
 
3.1%
읍 172
 
3.0%
Other values (154) 2150
37.4%
Decimal Number
ValueCountFrequency (%)
1 532
22.0%
2 388
16.1%
4 264
10.9%
3 248
10.3%
0 219
9.1%
6 216
8.9%
5 170
 
7.0%
7 136
 
5.6%
8 127
 
5.3%
9 117
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
A 13
52.0%
B 5
 
20.0%
C 3
 
12.0%
D 2
 
8.0%
K 2
 
8.0%
Other Punctuation
ValueCountFrequency (%)
, 199
98.5%
. 2
 
1.0%
& 1
 
0.5%
Space Separator
ValueCountFrequency (%)
1922
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 262
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%
Open Punctuation
ValueCountFrequency (%)
( 63
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5741
53.7%
Common 4929
46.1%
Latin 25
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 472
 
8.2%
경 468
 
8.2%
평 459
 
8.0%
택 459
 
8.0%
도 457
 
8.0%
시 445
 
7.8%
로 284
 
4.9%
길 196
 
3.4%
청 179
 
3.1%
읍 172
 
3.0%
Other values (154) 2150
37.4%
Common
ValueCountFrequency (%)
1922
39.0%
1 532
 
10.8%
2 388
 
7.9%
4 264
 
5.4%
- 262
 
5.3%
3 248
 
5.0%
0 219
 
4.4%
6 216
 
4.4%
, 199
 
4.0%
5 170
 
3.4%
Other values (7) 509
 
10.3%
Latin
ValueCountFrequency (%)
A 13
52.0%
B 5
 
20.0%
C 3
 
12.0%
D 2
 
8.0%
K 2
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5741
53.7%
ASCII 4954
46.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1922
38.8%
1 532
 
10.7%
2 388
 
7.8%
4 264
 
5.3%
- 262
 
5.3%
3 248
 
5.0%
0 219
 
4.4%
6 216
 
4.4%
, 199
 
4.0%
5 170
 
3.4%
Other values (12) 534
 
10.8%
Hangul
ValueCountFrequency (%)
기 472
 
8.2%
경 468
 
8.2%
평 459
 
8.0%
택 459
 
8.0%
도 457
 
8.0%
시 445
 
7.8%
로 284
 
4.9%
길 196
 
3.4%
청 179
 
3.1%
읍 172
 
3.0%
Other values (154) 2150
37.4%

지번주소
Text

MISSING 

Distinct200
Distinct (%)95.7%
Missing266
Missing (%)56.0%
Memory size3.8 KiB
2023-12-12T21:21:21.089313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length50
Mean length24.325359
Min length13

Characters and Unicode

Total characters5084
Distinct characters127
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

Unique191 ?
Unique (%)91.4%

Sample

1st row경기도 평택시 고덕면 당현리 72-1번지
2nd row경기도 평택시 포승읍 홍원리 295-13
3rd row경기도 평택시 고덕면 두릉리 240-2번지
4th row경기도 평택시 고덕면 방축리 295, 295-5
5th row경기도 평택시 청북읍 삼계리 125-5번지
ValueCountFrequency (%)
경기도 209
18.8%
평택시 209
18.8%
청북읍 74
 
6.7%
고잔리 26
 
2.3%
포승읍 21
 
1.9%
진위면 17
 
1.5%
고렴리 16
 
1.4%
안중읍 14
 
1.3%
현덕면 13
 
1.2%
토진리 12
 
1.1%
Other values (365) 498
44.9%
2023-12-12T21:21:21.645767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
902
17.7%
- 260
 
5.1%
1 242
 
4.8%
도 220
 
4.3%
기 214
 
4.2%
평 210
 
4.1%
택 210
 
4.1%
경 209
 
4.1%
시 209
 
4.1%
리 172
 
3.4%
Other values (117) 2236
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2572
50.6%
Decimal Number 1243
24.4%
Space Separator 902
 
17.7%
Dash Punctuation 260
 
5.1%
Other Punctuation 97
 
1.9%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 220
 
8.6%
기 214
 
8.3%
평 210
 
8.2%
택 210
 
8.2%
경 209
 
8.1%
시 209
 
8.1%
리 172
 
6.7%
읍 113
 
4.4%
북 81
 
3.1%
청 78
 
3.0%
Other values (100) 856
33.3%
Decimal Number
ValueCountFrequency (%)
1 242
19.5%
2 172
13.8%
3 118
9.5%
5 116
9.3%
9 110
8.8%
6 110
8.8%
4 109
8.8%
0 99
8.0%
7 92
 
7.4%
8 75
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
902
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 260
100.0%
Other Punctuation
ValueCountFrequency (%)
, 97
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2572
50.6%
Common 2510
49.4%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 220
 
8.6%
기 214
 
8.3%
평 210
 
8.2%
택 210
 
8.2%
경 209
 
8.1%
시 209
 
8.1%
리 172
 
6.7%
읍 113
 
4.4%
북 81
 
3.1%
청 78
 
3.0%
Other values (100) 856
33.3%
Common
ValueCountFrequency (%)
902
35.9%
- 260
 
10.4%
1 242
 
9.6%
2 172
 
6.9%
3 118
 
4.7%
5 116
 
4.6%
9 110
 
4.4%
6 110
 
4.4%
4 109
 
4.3%
0 99
 
3.9%
Other values (5) 272
 
10.8%
Latin
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2572
50.6%
ASCII 2512
49.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
902
35.9%
- 260
 
10.4%
1 242
 
9.6%
2 172
 
6.8%
3 118
 
4.7%
5 116
 
4.6%
9 110
 
4.4%
6 110
 
4.4%
4 109
 
4.3%
0 99
 
3.9%
Other values (7) 274
 
10.9%
Hangul
ValueCountFrequency (%)
도 220
 
8.6%
기 214
 
8.3%
평 210
 
8.2%
택 210
 
8.2%
경 209
 
8.1%
시 209
 
8.1%
리 172
 
6.7%
읍 113
 
4.4%
북 81
 
3.1%
청 78
 
3.0%
Other values (100) 856
33.3%

처리대상폐기물정보
Text

Distinct246
Distinct (%)51.8%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2023-12-12T21:21:22.006068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length683
Median length174
Mean length47.324211
Min length11

Characters and Unicode

Total characters22479
Distinct characters320
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

Unique210 ?
Unique (%)44.2%

Sample

1st row사업장폐기물 종합재활용업 - 폐합성수지(PP,PE)
2nd row사업장폐기물 종합재활용업 - 폐합성수지류(폐염화비닐수지류는 제외)
3rd row사업장폐기물 종합재활용업 - 폐발포합성수지류[스치로폼], 폐판넬
4th row사업장폐기물 종합재활용업 - 폐유리, 폐유리병
5th row사업장폐기물 종합재활용업 - 폐합성수지류
ValueCountFrequency (%)
487
 
14.9%
사업장배출시설계폐기물 204
 
6.3%
사업장폐기물 173
 
5.3%
종합재활용업 157
 
4.8%
전부(고상 132
 
4.0%
및 85
 
2.6%
밖의 84
 
2.6%
그 77
 
2.4%
사업장비배출시설계폐기물 61
 
1.9%
폐목재류 45
 
1.4%
Other values (602) 1757
53.9%
2023-12-12T21:21:22.590922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2797
 
12.4%
폐 1772
 
7.9%
, 1261
 
5.6%
물 830
 
3.7%
기 774
 
3.4%
- 691
 
3.1%
업 640
 
2.8%
류 592
 
2.6%
합 546
 
2.4%
사 530
 
2.4%
Other values (310) 12046
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15721
69.9%
Space Separator 2797
 
12.4%
Other Punctuation 1385
 
6.2%
Dash Punctuation 691
 
3.1%
Decimal Number 677
 
3.0%
Open Punctuation 421
 
1.9%
Close Punctuation 419
 
1.9%
Uppercase Letter 351
 
1.6%
Math Symbol 12
 
0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
폐 1772
 
11.3%
물 830
 
5.3%
기 774
 
4.9%
업 640
 
4.1%
류 592
 
3.8%
합 546
 
3.5%
사 530
 
3.4%
장 470
 
3.0%
재 422
 
2.7%
성 418
 
2.7%
Other values (265) 8727
55.5%
Uppercase Letter
ValueCountFrequency (%)
P 159
45.3%
E 47
 
13.4%
S 33
 
9.4%
B 25
 
7.1%
A 23
 
6.6%
C 23
 
6.6%
T 19
 
5.4%
V 9
 
2.6%
R 2
 
0.6%
I 2
 
0.6%
Other values (7) 9
 
2.6%
Decimal Number
ValueCountFrequency (%)
0 189
27.9%
1 168
24.8%
5 107
15.8%
2 65
 
9.6%
9 45
 
6.6%
3 40
 
5.9%
4 22
 
3.2%
8 20
 
3.0%
7 14
 
2.1%
6 7
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 1261
91.0%
· 89
 
6.4%
. 25
 
1.8%
: 8
 
0.6%
/ 1
 
0.1%
% 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 7
58.3%
< 3
25.0%
> 2
 
16.7%
Open Punctuation
ValueCountFrequency (%)
( 352
83.6%
[ 69
 
16.4%
Close Punctuation
ValueCountFrequency (%)
) 350
83.5%
] 69
 
16.5%
Lowercase Letter
ValueCountFrequency (%)
t 2
50.0%
v 2
50.0%
Space Separator
ValueCountFrequency (%)
2797
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 691
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15721
69.9%
Common 6403
28.5%
Latin 355
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
폐 1772
 
11.3%
물 830
 
5.3%
기 774
 
4.9%
업 640
 
4.1%
류 592
 
3.8%
합 546
 
3.5%
사 530
 
3.4%
장 470
 
3.0%
재 422
 
2.7%
성 418
 
2.7%
Other values (265) 8727
55.5%
Common
ValueCountFrequency (%)
2797
43.7%
, 1261
19.7%
- 691
 
10.8%
( 352
 
5.5%
) 350
 
5.5%
0 189
 
3.0%
1 168
 
2.6%
5 107
 
1.7%
· 89
 
1.4%
[ 69
 
1.1%
Other values (16) 330
 
5.2%
Latin
ValueCountFrequency (%)
P 159
44.8%
E 47
 
13.2%
S 33
 
9.3%
B 25
 
7.0%
A 23
 
6.5%
C 23
 
6.5%
T 19
 
5.4%
V 9
 
2.5%
R 2
 
0.6%
I 2
 
0.6%
Other values (9) 13
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15721
69.9%
ASCII 6669
29.7%
None 89
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2797
41.9%
, 1261
18.9%
- 691
 
10.4%
( 352
 
5.3%
) 350
 
5.2%
0 189
 
2.8%
1 168
 
2.5%
P 159
 
2.4%
5 107
 
1.6%
[ 69
 
1.0%
Other values (34) 526
 
7.9%
Hangul
ValueCountFrequency (%)
폐 1772
 
11.3%
물 830
 
5.3%
기 774
 
4.9%
업 640
 
4.1%
류 592
 
3.8%
합 546
 
3.5%
사 530
 
3.4%
장 470
 
3.0%
재 422
 
2.7%
성 418
 
2.7%
Other values (265) 8727
55.5%
None
ValueCountFrequency (%)
· 89
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2023-02-10
475 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-02-10
2nd row2023-02-10
3rd row2023-02-10
4th row2023-02-10
5th row2023-02-10

Common Values

ValueCountFrequency (%)
2023-02-10 475
100.0%

Length

2023-12-12T21:21:22.758551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:21:22.866657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-02-10 475
100.0%

Missing values

2023-12-12T21:21:17.410134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:21:17.577376image/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.
2023-12-12T21:21:17.685538image/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

시군명인허가일자영업상태업종 구분업체명도로명 주소지번주소처리대상폐기물정보데이터기준일자
0평택시2013-07-25운영중처리업체㈜올포켐경기도 평택시 고덕면 안재홍로 149경기도 평택시 고덕면 당현리 72-1번지사업장폐기물 종합재활용업 - 폐합성수지(PP,PE)2023-02-10
1평택시2013-07-25운영중처리업체기성스틸 주식회사 평택지점경기도 평택시 포승읍 포승장안로 542-37경기도 평택시 포승읍 홍원리 295-13사업장폐기물 종합재활용업 - 폐합성수지류(폐염화비닐수지류는 제외)2023-02-10
2평택시2003-04-16운영중처리업체강산환경경기도 평택시 고덕면 고덕북로 218-5경기도 평택시 고덕면 두릉리 240-2번지사업장폐기물 종합재활용업 - 폐발포합성수지류[스치로폼], 폐판넬2023-02-10
3평택시2003-02-21운영중처리업체㈜복지상사경기도 평택시 고덕면 방축길 182경기도 평택시 고덕면 방축리 295, 295-5사업장폐기물 종합재활용업 - 폐유리, 폐유리병2023-02-10
4평택시2003-10-22운영중처리업체광영플라스틱경기도 평택시 청북읍 삼계길 123경기도 평택시 청북읍 삼계리 125-5번지사업장폐기물 종합재활용업 - 폐합성수지류2023-02-10
5평택시2012-11-09운영중처리업체삼정펄프㈜경기도 평택시 고덕면 고덕로 85경기도 평택시 고덕면 해창리 250번지사업장폐기물 종합재활용업 - <외부반입>폐합성수지,폐지및기타일반폐기물,<내부발생>폐합성수지,폐지및기타일반폐기물,폐목재,오니류[물질재활용],폐우유팩2023-02-10
6평택시2013-07-25운영중처리업체육삼환경개발경기도 평택시 도일로 164-92(도일동)경기도 평택시 도일동 248-3번지사업장폐기물 종합재활용업 - (지정외 사업장폐기물) 폐합성수지, 폐전선2023-02-10
7평택시2011-12-29운영중처리업체태경산업㈜경기도 평택시 도일로 325경기도 평택시 도일동 3사업장폐기물 종합재활용업 - 무기성오니류(정수처리오니,하수준설토,건설오니,석재골재폐수처리오니,그밖의무기성오니)석탄재,폐석분토사,폐석재,폐토사,폐콘크리트,그 밖의폐기물(폐레미콘), 그밖의광재류,유기성오니류(정수처리오니,하수처리오니,분뇨처리오니,가축분뇨처리오니,펄프제지공정오니,그밖의공정오니,펄프제지폐수처리오니,그밖의폐수처리오니,그밖의 유기성오니)2023-02-10
8평택시2013-07-25운영중처리업체㈜금강종합산업경기도 평택시 산단로121번길 173경기도 평택시 모곡동 430-2번지사업장폐기물 종합재활용업 - 폐합성수지(PE)2023-02-10
9평택시2013-07-25운영중처리업체㈜제이에이치경기도 평택시 산단로 121번길 67경기도 평택시 모곡동 438-1사업장폐기물 종합재활용업 - 폐합성수지(폐스티로폼)2023-02-10
시군명인허가일자영업상태업종 구분업체명도로명 주소지번주소처리대상폐기물정보데이터기준일자
465평택시2022-09-08운영중수집운반업체형제자원경기도 평택시 포승읍 홍원길 65-39<NA>사업장배출시설계폐기물 - 폐합성고분자화합물, 폐목재류, 폐섬유, 폐지류, 폐금속류2023-02-10
466평택시2022-09-13운영중수집운반업체㈜이도종합산업경기도 평택시 안중읍 대반3길 60<NA>사업장배출시설계폐기물 - 폐합성고분자화합물, 폐목재류, 폐섬유, 폐지류, 폐금속류, 폐유리류2023-02-10
467평택시2022-11-04운영중수집운반업체㈜화통경기도 평택시 지산로140번길 109, 1층<NA>사업장배출시설계폐기물 - 전부(고상)2023-02-10
468평택시2022-11-11운영중수집운반업체㈜올크린환경경기도 평택시 청북읍 신포길 12, 2층<NA>사업장배출시설계폐기물 - 전부(고상)2023-02-10
469평택시2022-11-24운영중수집운반업체㈜바이텍시스템경기도 평택시 고덕면 고덕북로 185-20<NA>사업장배출시설계폐기물 - 폐합성고분자화합물, 폐목재류, 폐섬유, 폐지류, 폐금속류, 폐유리류, 폐전지류2023-02-10
470평택시2022-12-06운영중수집운반업체㈜정크린환경경기도 평택시 안중읍 안현로서6길 404-비02호<NA>사업장배출시설계폐기물 - 전부(고상)2023-02-10
471평택시2022-12-21운영중수집운반업체㈜서부환경경기도 평택시 지제2길 33-15, 301호<NA>사업장배출시설계폐기물 - 전부(고상)2023-02-10
472평택시2022-01-16운영중수집운반업체올바른환경경기도 평택시 경기대로 1286, 406호 내 486호<NA>사업장배출시설계폐기물 - 전부(고상)2023-02-10
473평택시2022-01-31운영중수집운반업체대명환경산업경기도 평택시 중앙2로 13, 602-1-786호<NA>사업장배출시설계폐기물 - 폐합성고분자화합물, 폐목재류, 폐섬유, 폐지류, 폐금속류, 폐유리류, 폐전지류2023-02-10
474평택시2022-02-09운영중수집운반업체㈜거단산업경기도 평택시 청북읍 청북중앙로 692-23<NA>사업장배출시설계폐기물 - 오니류[51-01-00, 51-05-00], 폐합성고분자화합물(폐합성수지류, 폐합성고무류, 기타)[51-03-00], 광재류[51-04-00], 분진류[51-05-00], 폐주물수 및 폐사[51-06-00], 폐내화물 및 폐도자기조각[51-07-00], 소각재[51-08-00], 안정화 또는 고형물·고화 처리물[51-09-00], 폐촉매[51-10-00], 폐흡착제 및 폐흡수제[51-11-00], 폐석고 및 폐석회[51-12-00], 연소잔재물[51-13-00], 폐석재류[51-14-00], 폐타이어[51-15-00], 동·식물성잔재물[51-17-00], 폐전기전자제품류[51-18-00], 왕겨 및 쌀겨[51-19-00], 폐목재류[51-20-00], 폐토사류[51-21-00], 폐섬유[51-27-00], 폐지류[51-28-00], 폐금속류[51-29-00], 폐유리류[51-30-00], 폐보드류[51-32-00], 그밖의 폐기물[51-99-00]2023-02-10