Overview

Dataset statistics

Number of variables9
Number of observations1218
Missing cells0
Missing cells (%)0.0%
Duplicate rows94
Duplicate rows (%)7.7%
Total size in memory87.0 KiB
Average record size in memory73.1 B

Variable types

Categorical3
Numeric1
Text5

Dataset

Description통영시 사업장폐기물배출자신고현황에 대한 폐기물 구분,신고기준년도,상호명,사업장도로명주소,폐기물 종류,운반자,처리업소명,처리방법,데이터기준일자 대한 정보를 제공합니다.
Author경상남도 통영시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15060235

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 94 (7.7%) duplicate rowsDuplicates
폐기물 구분 is highly overall correlated with 처리방법High correlation
처리방법 is highly overall correlated with 폐기물 구분High correlation

Reproduction

Analysis started2023-12-10 23:26:55.868765
Analysis finished2023-12-10 23:26:56.809573
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

폐기물 구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
지정폐기물배출자
672 
사업장폐기물배출자
546 

Length

Max length9
Median length8
Mean length8.4482759
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지정폐기물배출자 672
55.2%
사업장폐기물배출자 546
44.8%

Length

2023-12-11T08:26:56.881677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:26:56.968515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지정폐기물배출자 672
55.2%
사업장폐기물배출자 546
44.8%

신고기준년도
Real number (ℝ)

Distinct25
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2010.853
Minimum1999
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.8 KiB
2023-12-11T08:26:57.053842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1999
5-th percentile2000
Q12005
median2010
Q32017
95-th percentile2022
Maximum2023
Range24
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.2517073
Coefficient of variation (CV)0.0036062841
Kurtosis-1.1481838
Mean2010.853
Median Absolute Deviation (MAD)6
Skewness0.075825984
Sum2449219
Variance52.587259
MonotonicityNot monotonic
2023-12-11T08:26:57.145792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
2022 151
 
12.4%
2009 131
 
10.8%
2000 128
 
10.5%
2015 106
 
8.7%
2010 74
 
6.1%
2008 62
 
5.1%
2019 49
 
4.0%
2005 48
 
3.9%
2007 46
 
3.8%
2002 44
 
3.6%
Other values (15) 379
31.1%
ValueCountFrequency (%)
1999 12
 
1.0%
2000 128
10.5%
2001 37
 
3.0%
2002 44
 
3.6%
2003 34
 
2.8%
2004 11
 
0.9%
2005 48
 
3.9%
2006 43
 
3.5%
2007 46
 
3.8%
2008 62
5.1%
ValueCountFrequency (%)
2023 16
 
1.3%
2022 151
12.4%
2021 13
 
1.1%
2020 17
 
1.4%
2019 49
 
4.0%
2018 33
 
2.7%
2017 32
 
2.6%
2016 38
 
3.1%
2015 106
8.7%
2014 25
 
2.1%

상호
Text

Distinct493
Distinct (%)40.5%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
2023-12-11T08:26:57.312575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length18
Mean length8.4761905
Min length1

Characters and Unicode

Total characters10324
Distinct characters339
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

Unique262 ?
Unique (%)21.5%

Sample

1st row통영원 어업회사법인주식회사
2nd row고성군청(통영시 환경자원화센터)
3rd row고성군청(통영시 환경자원화센터)
4th row태양수산
5th row통영허브수산
ValueCountFrequency (%)
굴박신장 134
 
8.7%
주식회사 50
 
3.3%
경상남도자동차전문정비사업조합 21
 
1.4%
통영시(환경자원화센터 17
 
1.1%
에이치에스지성동조선 16
 
1.0%
주)대우환경 15
 
1.0%
spp조선(주 15
 
1.0%
통영적십자병원 14
 
0.9%
경남도립통영노인전문병원 14
 
0.9%
동성화인텍 13
 
0.8%
Other values (512) 1229
79.9%
2023-12-11T08:26:57.654835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 446
 
4.3%
322
 
3.1%
통 319
 
3.1%
영 314
 
3.0%
( 266
 
2.6%
) 266
 
2.6%
주 260
 
2.5%
의 255
 
2.5%
신 242
 
2.3%
과 242
 
2.3%
Other values (329) 7392
71.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9316
90.2%
Space Separator 322
 
3.1%
Open Punctuation 266
 
2.6%
Close Punctuation 266
 
2.6%
Uppercase Letter 77
 
0.7%
Decimal Number 45
 
0.4%
Lowercase Letter 29
 
0.3%
Connector Punctuation 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 446
 
4.8%
통 319
 
3.4%
영 314
 
3.4%
주 260
 
2.8%
의 255
 
2.7%
신 242
 
2.6%
과 242
 
2.6%
장 234
 
2.5%
박 200
 
2.1%
굴 194
 
2.1%
Other values (297) 6610
71.0%
Lowercase Letter
ValueCountFrequency (%)
o 11
37.9%
n 6
20.7%
s 2
 
6.9%
h 2
 
6.9%
f 2
 
6.9%
l 2
 
6.9%
e 1
 
3.4%
i 1
 
3.4%
r 1
 
3.4%
p 1
 
3.4%
Decimal Number
ValueCountFrequency (%)
1 12
26.7%
2 10
22.2%
3 8
17.8%
0 3
 
6.7%
7 3
 
6.7%
4 3
 
6.7%
5 2
 
4.4%
6 2
 
4.4%
9 2
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
P 30
39.0%
S 22
28.6%
C 7
 
9.1%
H 7
 
9.1%
D 5
 
6.5%
L 2
 
2.6%
G 2
 
2.6%
N 2
 
2.6%
Space Separator
ValueCountFrequency (%)
322
100.0%
Open Punctuation
ValueCountFrequency (%)
( 266
100.0%
Close Punctuation
ValueCountFrequency (%)
) 266
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9316
90.2%
Common 902
 
8.7%
Latin 106
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 446
 
4.8%
통 319
 
3.4%
영 314
 
3.4%
주 260
 
2.8%
의 255
 
2.7%
신 242
 
2.6%
과 242
 
2.6%
장 234
 
2.5%
박 200
 
2.1%
굴 194
 
2.1%
Other values (297) 6610
71.0%
Latin
ValueCountFrequency (%)
P 30
28.3%
S 22
20.8%
o 11
 
10.4%
C 7
 
6.6%
H 7
 
6.6%
n 6
 
5.7%
D 5
 
4.7%
s 2
 
1.9%
h 2
 
1.9%
f 2
 
1.9%
Other values (8) 12
 
11.3%
Common
ValueCountFrequency (%)
322
35.7%
( 266
29.5%
) 266
29.5%
1 12
 
1.3%
2 10
 
1.1%
3 8
 
0.9%
0 3
 
0.3%
7 3
 
0.3%
4 3
 
0.3%
5 2
 
0.2%
Other values (4) 7
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9316
90.2%
ASCII 1008
 
9.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 446
 
4.8%
통 319
 
3.4%
영 314
 
3.4%
주 260
 
2.8%
의 255
 
2.7%
신 242
 
2.6%
과 242
 
2.6%
장 234
 
2.5%
박 200
 
2.1%
굴 194
 
2.1%
Other values (297) 6610
71.0%
ASCII
ValueCountFrequency (%)
322
31.9%
( 266
26.4%
) 266
26.4%
P 30
 
3.0%
S 22
 
2.2%
1 12
 
1.2%
o 11
 
1.1%
2 10
 
1.0%
3 8
 
0.8%
C 7
 
0.7%
Other values (22) 54
 
5.4%

사업장도로명주소
Text

Distinct360
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
2023-12-11T08:26:57.955341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length42
Mean length24.90312
Min length1

Characters and Unicode

Total characters30332
Distinct characters262
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique118 ?
Unique (%)9.7%

Sample

1st row경상남도 통영시 도산면 남해안대로 1729-37
2nd row경상남도 고성군 고성읍 성내로 130_ 고성군청
3rd row경상남도 고성군 고성읍 성내로 130_ 고성군청
4th row경상남도 통영시 용남면 밤개길 128-44
5th row경상남도 통영시 도산면 남해안대로 1729-45
ValueCountFrequency (%)
경상남도 1154
 
17.7%
통영시 1152
 
17.7%
광도면 305
 
4.7%
중앙로 216
 
3.3%
북신동 134
 
2.1%
용남면 130
 
2.0%
무전동 113
 
1.7%
도산면 111
 
1.7%
남해안대로 84
 
1.3%
2층 76
 
1.2%
Other values (569) 3030
46.6%
2023-12-11T08:26:58.358640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5416
 
17.9%
도 1658
 
5.5%
남 1429
 
4.7%
통 1249
 
4.1%
영 1246
 
4.1%
시 1188
 
3.9%
경 1170
 
3.9%
상 1169
 
3.9%
1 937
 
3.1%
로 830
 
2.7%
Other values (252) 14040
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18363
60.5%
Space Separator 5416
 
17.9%
Decimal Number 4541
 
15.0%
Open Punctuation 559
 
1.8%
Close Punctuation 559
 
1.8%
Connector Punctuation 513
 
1.7%
Dash Punctuation 347
 
1.1%
Uppercase Letter 20
 
0.1%
Math Symbol 7
 
< 0.1%
Other Punctuation 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 1658
 
9.0%
남 1429
 
7.8%
통 1249
 
6.8%
영 1246
 
6.8%
시 1188
 
6.5%
경 1170
 
6.4%
상 1169
 
6.4%
로 830
 
4.5%
동 620
 
3.4%
면 597
 
3.3%
Other values (231) 7207
39.2%
Decimal Number
ValueCountFrequency (%)
1 937
20.6%
2 668
14.7%
0 475
10.5%
4 466
10.3%
3 463
10.2%
9 376
8.3%
5 341
 
7.5%
7 310
 
6.8%
8 262
 
5.8%
6 243
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
K 9
45.0%
D 9
45.0%
A 2
 
10.0%
Other Punctuation
ValueCountFrequency (%)
& 5
71.4%
· 2
 
28.6%
Space Separator
ValueCountFrequency (%)
5416
100.0%
Open Punctuation
ValueCountFrequency (%)
( 559
100.0%
Close Punctuation
ValueCountFrequency (%)
) 559
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 513
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 347
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18363
60.5%
Common 11949
39.4%
Latin 20
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 1658
 
9.0%
남 1429
 
7.8%
통 1249
 
6.8%
영 1246
 
6.8%
시 1188
 
6.5%
경 1170
 
6.4%
상 1169
 
6.4%
로 830
 
4.5%
동 620
 
3.4%
면 597
 
3.3%
Other values (231) 7207
39.2%
Common
ValueCountFrequency (%)
5416
45.3%
1 937
 
7.8%
2 668
 
5.6%
( 559
 
4.7%
) 559
 
4.7%
_ 513
 
4.3%
0 475
 
4.0%
4 466
 
3.9%
3 463
 
3.9%
9 376
 
3.1%
Other values (8) 1517
 
12.7%
Latin
ValueCountFrequency (%)
K 9
45.0%
D 9
45.0%
A 2
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18363
60.5%
ASCII 11967
39.5%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5416
45.3%
1 937
 
7.8%
2 668
 
5.6%
( 559
 
4.7%
) 559
 
4.7%
_ 513
 
4.3%
0 475
 
4.0%
4 466
 
3.9%
3 463
 
3.9%
9 376
 
3.1%
Other values (10) 1535
 
12.8%
Hangul
ValueCountFrequency (%)
도 1658
 
9.0%
남 1429
 
7.8%
통 1249
 
6.8%
영 1246
 
6.8%
시 1188
 
6.5%
경 1170
 
6.4%
상 1169
 
6.4%
로 830
 
4.5%
동 620
 
3.4%
면 597
 
3.3%
Other values (231) 7207
39.2%
None
ValueCountFrequency (%)
· 2
100.0%

폐기물 종류
Text

Distinct89
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
2023-12-11T08:26:58.552527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length88
Median length81
Mean length13.000821
Min length1

Characters and Unicode

Total characters15835
Distinct characters226
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)2.6%

Sample

1st row수산물가공잔재물
2nd row생활폐기물 소각시설 바닥재
3rd row생활폐기물 소각시설 비산재
4th row폐합성수지류(폐염화비닐수지류는 제외한다)
5th row수산물가공잔재물
ValueCountFrequency (%)
제외한다 191
 
7.0%
폐패각 154
 
5.6%
밖의 143
 
5.2%
그 143
 
5.2%
일반의료폐기물 139
 
5.1%
손상성폐기물 138
 
5.0%
경우는 94
 
3.4%
조직물류폐기물(태반을 94
 
3.4%
재활용하는 94
 
3.4%
폐합성수지류(폐염화비닐수지류는 82
 
3.0%
Other values (185) 1474
53.7%
2023-12-11T08:26:58.876444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1549
 
9.8%
폐 1267
 
8.0%
물 1049
 
6.6%
기 675
 
4.3%
의 403
 
2.5%
성 367
 
2.3%
류 356
 
2.2%
재 343
 
2.2%
는 309
 
2.0%
유 304
 
1.9%
Other values (216) 9213
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13295
84.0%
Space Separator 1549
 
9.8%
Close Punctuation 295
 
1.9%
Open Punctuation 295
 
1.9%
Lowercase Letter 168
 
1.1%
Connector Punctuation 133
 
0.8%
Decimal Number 97
 
0.6%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
폐 1267
 
9.5%
물 1049
 
7.9%
기 675
 
5.1%
의 403
 
3.0%
성 367
 
2.8%
류 356
 
2.7%
재 343
 
2.6%
는 309
 
2.3%
유 304
 
2.3%
한 281
 
2.1%
Other values (197) 7941
59.7%
Lowercase Letter
ValueCountFrequency (%)
e 56
33.3%
s 28
16.7%
r 28
16.7%
a 28
16.7%
g 28
16.7%
Decimal Number
ValueCountFrequency (%)
2 41
42.3%
0 28
28.9%
1 16
 
16.5%
8 12
 
12.4%
Close Punctuation
ValueCountFrequency (%)
) 255
86.4%
] 28
 
9.5%
」 12
 
4.1%
Open Punctuation
ValueCountFrequency (%)
( 255
86.4%
[ 28
 
9.5%
「 12
 
4.1%
Other Punctuation
ValueCountFrequency (%)
· 2
66.7%
. 1
33.3%
Space Separator
ValueCountFrequency (%)
1549
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 133
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13295
84.0%
Common 2372
 
15.0%
Latin 168
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
폐 1267
 
9.5%
물 1049
 
7.9%
기 675
 
5.1%
의 403
 
3.0%
성 367
 
2.8%
류 356
 
2.7%
재 343
 
2.6%
는 309
 
2.3%
유 304
 
2.3%
한 281
 
2.1%
Other values (197) 7941
59.7%
Common
ValueCountFrequency (%)
1549
65.3%
) 255
 
10.8%
( 255
 
10.8%
_ 133
 
5.6%
2 41
 
1.7%
[ 28
 
1.2%
] 28
 
1.2%
0 28
 
1.2%
1 16
 
0.7%
「 12
 
0.5%
Other values (4) 27
 
1.1%
Latin
ValueCountFrequency (%)
e 56
33.3%
s 28
16.7%
r 28
16.7%
a 28
16.7%
g 28
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13133
82.9%
ASCII 2514
 
15.9%
Compat Jamo 162
 
1.0%
None 26
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1549
61.6%
) 255
 
10.1%
( 255
 
10.1%
_ 133
 
5.3%
e 56
 
2.2%
2 41
 
1.6%
[ 28
 
1.1%
s 28
 
1.1%
] 28
 
1.1%
r 28
 
1.1%
Other values (6) 113
 
4.5%
Hangul
ValueCountFrequency (%)
폐 1267
 
9.6%
물 1049
 
8.0%
기 675
 
5.1%
의 403
 
3.1%
성 367
 
2.8%
류 356
 
2.7%
재 343
 
2.6%
는 309
 
2.4%
유 304
 
2.3%
한 281
 
2.1%
Other values (196) 7779
59.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 162
100.0%
None
ValueCountFrequency (%)
「 12
46.2%
」 12
46.2%
· 2
 
7.7%

운반자
Text

Distinct266
Distinct (%)21.8%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
2023-12-11T08:26:59.075482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length42
Mean length9.0484401
Min length1

Characters and Unicode

Total characters11021
Distinct characters201
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

Unique150 ?
Unique (%)12.3%

Sample

1st row동원피드
2nd row고성군청
3rd row고성군청
4th row(주)대우환경
5th row(주)HS아쿠아피드 고성공장
ValueCountFrequency (%)
소망위생개발 258
 
19.5%
동원위생 242
 
18.3%
주)대우환경 39
 
3.0%
동남환경 23
 
1.7%
주)동진개발_지산환경_(주)해양산업개발 23
 
1.7%
주)동진건설_지산환경 20
 
1.5%
대성기업 17
 
1.3%
유)이레환경산업 16
 
1.2%
주)해양산업개발_지산환경 16
 
1.2%
해상-자가선박 15
 
1.1%
Other values (268) 651
49.3%
2023-12-11T08:26:59.472490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 664
 
6.0%
) 664
 
6.0%
주 650
 
5.9%
개 622
 
5.6%
발 622
 
5.6%
위 507
 
4.6%
생 507
 
4.6%
동 477
 
4.3%
경 441
 
4.0%
산 435
 
3.9%
Other values (191) 5432
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8883
80.6%
Open Punctuation 664
 
6.0%
Close Punctuation 664
 
6.0%
Connector Punctuation 433
 
3.9%
Space Separator 112
 
1.0%
Other Punctuation 107
 
1.0%
Dash Punctuation 104
 
0.9%
Lowercase Letter 23
 
0.2%
Other Symbol 19
 
0.2%
Uppercase Letter 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 650
 
7.3%
개 622
 
7.0%
발 622
 
7.0%
위 507
 
5.7%
생 507
 
5.7%
동 477
 
5.4%
경 441
 
5.0%
산 435
 
4.9%
환 431
 
4.9%
원 293
 
3.3%
Other values (171) 3898
43.9%
Lowercase Letter
ValueCountFrequency (%)
e 7
30.4%
g 4
17.4%
y 4
17.4%
n 4
17.4%
r 4
17.4%
Uppercase Letter
ValueCountFrequency (%)
S 3
33.3%
H 3
33.3%
E 1
 
11.1%
R 1
 
11.1%
C 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
/ 92
86.0%
: 13
 
12.1%
. 2
 
1.9%
Open Punctuation
ValueCountFrequency (%)
( 664
100.0%
Close Punctuation
ValueCountFrequency (%)
) 664
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 433
100.0%
Space Separator
ValueCountFrequency (%)
112
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 104
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 19
100.0%
Decimal Number
ValueCountFrequency (%)
2 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8902
80.8%
Common 2087
 
18.9%
Latin 32
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 650
 
7.3%
개 622
 
7.0%
발 622
 
7.0%
위 507
 
5.7%
생 507
 
5.7%
동 477
 
5.4%
경 441
 
5.0%
산 435
 
4.9%
환 431
 
4.8%
원 293
 
3.3%
Other values (172) 3917
44.0%
Latin
ValueCountFrequency (%)
e 7
21.9%
g 4
12.5%
y 4
12.5%
n 4
12.5%
r 4
12.5%
S 3
9.4%
H 3
9.4%
E 1
 
3.1%
R 1
 
3.1%
C 1
 
3.1%
Common
ValueCountFrequency (%)
( 664
31.8%
) 664
31.8%
_ 433
20.7%
112
 
5.4%
- 104
 
5.0%
/ 92
 
4.4%
: 13
 
0.6%
2 3
 
0.1%
. 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8883
80.6%
ASCII 2119
 
19.2%
None 19
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 664
31.3%
) 664
31.3%
_ 433
20.4%
112
 
5.3%
- 104
 
4.9%
/ 92
 
4.3%
: 13
 
0.6%
e 7
 
0.3%
g 4
 
0.2%
y 4
 
0.2%
Other values (9) 22
 
1.0%
Hangul
ValueCountFrequency (%)
주 650
 
7.3%
개 622
 
7.0%
발 622
 
7.0%
위 507
 
5.7%
생 507
 
5.7%
동 477
 
5.4%
경 441
 
5.0%
산 435
 
4.9%
환 431
 
4.9%
원 293
 
3.3%
Other values (171) 3898
43.9%
None
ValueCountFrequency (%)
㈜ 19
100.0%

처리업소명
Text

Distinct368
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
2023-12-11T08:26:59.731354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length85
Median length7
Mean length13.256979
Min length1

Characters and Unicode

Total characters16147
Distinct characters225
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

Unique259 ?
Unique (%)21.3%

Sample

1st row동원피드
2nd row고성군청
3rd row고성군청
4th row(주)대우환경
5th row(주)HS아쿠아피드 고성공장
ValueCountFrequency (%)
주)아림환경 487
38.8%
주)경서 37
 
3.0%
주)대우환경 31
 
2.5%
주)창원에너텍 15
 
1.2%
주)에스씨이노베이션 12
 
1.0%
주)베스트_(주)삼보패화석_(주)청해광업(고흥)_(주)청해광업(해남 11
 
0.9%
코어엔텍(주 10
 
0.8%
통영시 10
 
0.8%
인선이엔티(주)사천지점 8
 
0.6%
고성공장 8
 
0.6%
Other values (369) 625
49.8%
2023-12-11T08:27:00.163831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 1969
 
12.2%
( 1962
 
12.2%
주 1837
 
11.4%
_ 836
 
5.2%
경 628
 
3.9%
산 562
 
3.5%
환 562
 
3.5%
아 539
 
3.3%
림 503
 
3.1%
업 502
 
3.1%
Other values (215) 6247
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11138
69.0%
Close Punctuation 1969
 
12.2%
Open Punctuation 1962
 
12.2%
Connector Punctuation 836
 
5.2%
Dash Punctuation 82
 
0.5%
Uppercase Letter 57
 
0.4%
Space Separator 42
 
0.3%
Other Punctuation 24
 
0.1%
Decimal Number 23
 
0.1%
Other Symbol 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1837
 
16.5%
경 628
 
5.6%
산 562
 
5.0%
환 562
 
5.0%
아 539
 
4.8%
림 503
 
4.5%
업 502
 
4.5%
해 339
 
3.0%
성 284
 
2.5%
이 266
 
2.4%
Other values (183) 5116
45.9%
Uppercase Letter
ValueCountFrequency (%)
C 20
35.1%
K 14
24.6%
N 6
 
10.5%
S 4
 
7.0%
H 3
 
5.3%
G 2
 
3.5%
T 1
 
1.8%
D 1
 
1.8%
R 1
 
1.8%
P 1
 
1.8%
Other values (4) 4
 
7.0%
Decimal Number
ValueCountFrequency (%)
0 11
47.8%
1 7
30.4%
6 1
 
4.3%
9 1
 
4.3%
3 1
 
4.3%
5 1
 
4.3%
4 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
/ 20
83.3%
. 3
 
12.5%
& 1
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
r 1
50.0%
a 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 1969
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1962
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 836
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%
Space Separator
ValueCountFrequency (%)
42
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11150
69.1%
Common 4938
30.6%
Latin 59
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1837
 
16.5%
경 628
 
5.6%
산 562
 
5.0%
환 562
 
5.0%
아 539
 
4.8%
림 503
 
4.5%
업 502
 
4.5%
해 339
 
3.0%
성 284
 
2.5%
이 266
 
2.4%
Other values (184) 5128
46.0%
Latin
ValueCountFrequency (%)
C 20
33.9%
K 14
23.7%
N 6
 
10.2%
S 4
 
6.8%
H 3
 
5.1%
G 2
 
3.4%
T 1
 
1.7%
D 1
 
1.7%
R 1
 
1.7%
P 1
 
1.7%
Other values (6) 6
 
10.2%
Common
ValueCountFrequency (%)
) 1969
39.9%
( 1962
39.7%
_ 836
16.9%
- 82
 
1.7%
42
 
0.9%
/ 20
 
0.4%
0 11
 
0.2%
1 7
 
0.1%
. 3
 
0.1%
6 1
 
< 0.1%
Other values (5) 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11138
69.0%
ASCII 4997
30.9%
None 12
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 1969
39.4%
( 1962
39.3%
_ 836
16.7%
- 82
 
1.6%
42
 
0.8%
/ 20
 
0.4%
C 20
 
0.4%
K 14
 
0.3%
0 11
 
0.2%
1 7
 
0.1%
Other values (21) 34
 
0.7%
Hangul
ValueCountFrequency (%)
주 1837
 
16.5%
경 628
 
5.6%
산 562
 
5.0%
환 562
 
5.0%
아 539
 
4.8%
림 503
 
4.5%
업 502
 
4.5%
해 339
 
3.0%
성 284
 
2.5%
이 266
 
2.4%
Other values (183) 5116
45.9%
None
ValueCountFrequency (%)
㈜ 12
100.0%

처리방법
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
중간처분(일반소각)
605 
재활용(중간가공폐기물 제조)
166 
재활용(파쇄.분쇄)
106 
재활용(직접 제품제조)
65 
재활용(원료 제조)
 
51
Other values (26)
225 

Length

Max length19
Median length10
Mean length11.201149
Min length1

Unique

Unique7 ?
Unique (%)0.6%

Sample

1st row재활용(원료 제조)
2nd row매립(관리형매립시설)
3rd row매립(관리형매립시설)
4th row재활용(중간가공폐기물 제조)
5th row재활용(원료 제조)

Common Values

ValueCountFrequency (%)
중간처분(일반소각) 605
49.7%
재활용(중간가공폐기물 제조) 166
 
13.6%
재활용(파쇄.분쇄) 106
 
8.7%
재활용(직접 제품제조) 65
 
5.3%
재활용(원료 제조) 51
 
4.2%
매립(민간관리형매립시설) 41
 
3.4%
재활용(연료·고형연료제품 제조) 41
 
3.4%
중간처분(고온소각) 35
 
2.9%
재활용(토질개선에 사용) 21
 
1.7%
중간처분(파쇄.분쇄) 12
 
1.0%
Other values (21) 75
 
6.2%

Length

2023-12-11T08:27:00.339240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
중간처분(일반소각 605
38.2%
제조 258
16.3%
재활용(중간가공폐기물 166
 
10.5%
재활용(파쇄.분쇄 106
 
6.7%
재활용(직접 68
 
4.3%
제품제조 65
 
4.1%
재활용(원료 51
 
3.2%
재활용(연료·고형연료제품 41
 
2.6%
매립(민간관리형매립시설 41
 
2.6%
사용 37
 
2.3%
Other values (25) 147
 
9.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
2023-05-01
1218 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-01
2nd row2023-05-01
3rd row2023-05-01
4th row2023-05-01
5th row2023-05-01

Common Values

ValueCountFrequency (%)
2023-05-01 1218
100.0%

Length

2023-12-11T08:27:00.770107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:27:00.853816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-01 1218
100.0%

Interactions

2023-12-11T08:26:56.550056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:27:00.919405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
폐기물 구분신고기준년도폐기물 종류처리방법
폐기물 구분1.0000.5950.9990.916
신고기준년도0.5951.0000.7160.608
폐기물 종류0.9990.7161.0000.978
처리방법0.9160.6080.9781.000
2023-12-11T08:27:01.011198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처리방법폐기물 구분
처리방법1.0000.836
폐기물 구분0.8361.000
2023-12-11T08:27:01.084012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신고기준년도폐기물 구분처리방법
신고기준년도1.0000.4590.260
폐기물 구분0.4591.0000.836
처리방법0.2600.8361.000

Missing values

2023-12-11T08:26:56.643331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:26:56.763103image/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.

Sample

폐기물 구분신고기준년도상호사업장도로명주소폐기물 종류운반자처리업소명처리방법데이터기준일자
0사업장폐기물배출자2023통영원 어업회사법인주식회사경상남도 통영시 도산면 남해안대로 1729-37수산물가공잔재물동원피드동원피드재활용(원료 제조)2023-05-01
1사업장폐기물배출자2022고성군청(통영시 환경자원화센터)경상남도 고성군 고성읍 성내로 130_ 고성군청생활폐기물 소각시설 바닥재고성군청고성군청매립(관리형매립시설)2023-05-01
2사업장폐기물배출자2022고성군청(통영시 환경자원화센터)경상남도 고성군 고성읍 성내로 130_ 고성군청생활폐기물 소각시설 비산재고성군청고성군청매립(관리형매립시설)2023-05-01
3사업장폐기물배출자2022태양수산경상남도 통영시 용남면 밤개길 128-44폐합성수지류(폐염화비닐수지류는 제외한다)(주)대우환경(주)대우환경재활용(중간가공폐기물 제조)2023-05-01
4사업장폐기물배출자2022통영허브수산경상남도 통영시 도산면 남해안대로 1729-45수산물가공잔재물(주)HS아쿠아피드 고성공장(주)HS아쿠아피드 고성공장재활용(원료 제조)2023-05-01
5사업장폐기물배출자2022여명수산(굴양식 제1571호)경상남도 통영시 광도면 용호로 325_ 용호리 327-2 여명수산폐합성수지류(폐염화비닐수지류는 제외한다)(주)예림산업(주)에너지네트웍중간처분(일반소각)2023-05-01
6사업장폐기물배출자2022덕진수산경상남도 통영시 산양읍 풍화일주로 808그 밖의 폐수처리오니(주)조은환경농업회사법인(주)송암바이오재활용(토질개선에 사용)2023-05-01
7사업장폐기물배출자2022(주)삼성산업경상남도 통영시 광도면 은황길 386-38폐콘크리트코데코(주)코데코(주)중간처분(파쇄.분쇄)2023-05-01
8사업장폐기물배출자2022(주)삼성산업경상남도 통영시 광도면 은황길 386-38폐아스팔트콘크리트코데코(주)코데코(주)중간처분(파쇄.분쇄)2023-05-01
9사업장폐기물배출자2022(주)와이에이치에스인테리어경상남도 통영시 용남면 남해안대로 573_ 나동 101호폐가구류_ 폐도장목_ 폐목재포장재_ 폐전선드럼(접착제_ 페인트_ 기름_ 콘크리트 등의 물질이 사용된 목재를 말한다)대성기업경남자원(주)재활용(중간가공폐기물 제조)2023-05-01
폐기물 구분신고기준년도상호사업장도로명주소폐기물 종류운반자처리업소명처리방법데이터기준일자
1208지정폐기물배출자1999통영선박기관수리조합경상남도 통영시 멘데산업길 70 (정량동)그 밖의 폐광물유[아스팔트유ㆍ그리스(grease)ㆍ방청유 및 수용성절삭유_ 20퍼센트 이상의 이물질이 함유된 폐유_ 고체상태의 폐유 등을 말한다](주)엠에스KC한미산업(주)중간처분(일반소각)2023-05-01
1209지정폐기물배출자1999통영선박기관수리조합경상남도 통영시 멘데산업길 70 (정량동)그 밖의 폐광물유[아스팔트유ㆍ그리스(grease)ㆍ방청유 및 수용성절삭유_ 20퍼센트 이상의 이물질이 함유된 폐유_ 고체상태의 폐유 등을 말한다](주)엠에스(주)창원에너텍중간처분(일반소각)2023-05-01
1210지정폐기물배출자1999통영선박기관수리조합경상남도 통영시 멘데산업길 70 (정량동)그 밖의 폐유(주)혁진(주)혁진김해공장재활용(연료·고형연료제품 제조)2023-05-01
1211지정폐기물배출자1999해양환경공단 통영사업소경상남도 통영시 통영해안로 234_ 통영항여객선터미널 (서호동)그 밖의 폐광물유[아스팔트유ㆍ그리스(grease)ㆍ방청유 및 수용성절삭유_ 20퍼센트 이상의 이물질이 함유된 폐유_ 고체상태의 폐유 등을 말한다](주)강우이앤이(주)동양환경중간처분(일반소각)2023-05-01
1212지정폐기물배출자1999해양환경공단 통영사업소경상남도 통영시 통영해안로 234_ 통영항여객선터미널 (서호동)그 밖의 폐광물유[아스팔트유ㆍ그리스(grease)ㆍ방청유 및 수용성절삭유_ 20퍼센트 이상의 이물질이 함유된 폐유_ 고체상태의 폐유 등을 말한다](주)빛고을환경(주)동양환경중간처분(일반소각)2023-05-01
1213지정폐기물배출자1999해양환경공단 통영사업소경상남도 통영시 통영해안로 234_ 통영항여객선터미널 (서호동)그 밖의 폐광물유[아스팔트유ㆍ그리스(grease)ㆍ방청유 및 수용성절삭유_ 20퍼센트 이상의 이물질이 함유된 폐유_ 고체상태의 폐유 등을 말한다](주)빛고을환경(주)와이앤텍중간처분(일반소각)2023-05-01
1214지정폐기물배출자1999해양환경공단 통영사업소경상남도 통영시 통영해안로 234_ 통영항여객선터미널 (서호동)그 밖의 폐광물유[아스팔트유ㆍ그리스(grease)ㆍ방청유 및 수용성절삭유_ 20퍼센트 이상의 이물질이 함유된 폐유_ 고체상태의 폐유 등을 말한다](주)화인에코(주)화인에코재활용(연료·고형연료제품 제조)2023-05-01
1215지정폐기물배출자1999해양환경공단 통영사업소경상남도 통영시 통영해안로 234_ 통영항여객선터미널 (서호동)폐연료유(주)화인에코(주)화인에코재활용(연료·고형연료제품 제조)2023-05-01
1216지정폐기물배출자1999해양환경공단 통영사업소경상남도 통영시 통영해안로 234_ 통영항여객선터미널 (서호동)폐윤활유(「자원의 절약과 재활용촉진에 관한 법률 시행령」 제18조에 따른 재활용의무 대상 제품ㆍ포장재인 기어유 및 내연기관용 윤활유를 말한다)(주)화인에코(주)화인에코재활용(연료·고형연료제품 제조)2023-05-01
1217지정폐기물배출자1999해양환경공단 통영사업소경상남도 통영시 통영해안로 234_ 통영항여객선터미널 (서호동)그 밖의 폐광물유[아스팔트유ㆍ그리스(grease)ㆍ방청유 및 수용성절삭유_ 20퍼센트 이상의 이물질이 함유된 폐유_ 고체상태의 폐유 등을 말한다](주)강우이앤이(주)와이앤텍중간처분(일반소각)2023-05-01

Duplicate rows

Most frequently occurring

폐기물 구분신고기준년도상호사업장도로명주소폐기물 종류운반자처리업소명처리방법데이터기준일자# duplicates
11지정폐기물배출자2000통영적십자병원경상남도 통영시 중앙로 97 (서호동)격리의료폐기물동원위생(주)아림환경중간처분(일반소각)2023-05-014
0사업장폐기물배출자2013(주)에스씨이노베이션 리사이클링경상남도 통영시 광도면 춘원1로 107폐금속류(주)신진스틸(주)신진스틸재활용(기타)2023-05-012
1지정폐기물배출자2000경상국립대학교 해양과학대학경상남도 통영시 천대국치길 38 (인평동)그 밖의 폐유기용제(주)유니환경코어엔텍(주)중간처분(고온소각)2023-05-012
2지정폐기물배출자2000미래산부인과의원경상남도 통영시 중앙로 311_ 3층 (무전동)조직물류폐기물(태반을 재활용하는 경우는 제외한다)소망위생개발(주)아림환경중간처분(일반소각)2023-05-012
3지정폐기물배출자2000삼성늘푸른정형외과경상남도 통영시 중앙로 309 (무전동)병리계폐기물동원위생(주)아림환경중간처분(일반소각)2023-05-012
4지정폐기물배출자2000삼성늘푸른정형외과경상남도 통영시 중앙로 309 (무전동)조직물류폐기물(태반을 재활용하는 경우는 제외한다)동원위생(주)아림환경중간처분(일반소각)2023-05-012
5지정폐기물배출자2000삼성정형외과의원경상남도 통영시 중앙로 309 (무전동)병리계폐기물동원위생(주)아림환경중간처분(일반소각)2023-05-012
6지정폐기물배출자2000삼성정형외과의원경상남도 통영시 중앙로 309 (무전동)조직물류폐기물(태반을 재활용하는 경우는 제외한다)동원위생(주)아림환경중간처분(일반소각)2023-05-012
7지정폐기물배출자2000통영시보건소경상남도 통영시 안개4길 108_ 통영시보건소 (무전동)격리의료폐기물동원위생(주)아림환경중간처분(일반소각)2023-05-012
8지정폐기물배출자2000통영시보건소경상남도 통영시 안개4길 108_ 통영시보건소 (무전동)병리계폐기물동원위생(주)아림환경중간처분(일반소각)2023-05-012