Overview

Dataset statistics

Number of variables8
Number of observations2145
Missing cells0
Missing cells (%)0.0%
Duplicate rows8
Duplicate rows (%)0.4%
Total size in memory136.3 KiB
Average record size in memory65.1 B

Variable types

Text5
Numeric1
Categorical2

Dataset

Description전북특별자치도 군산시 소재 사업장폐기물 배출자 신고현황(상호, 신고기준년도, 폐기물 종류, 운반자, 처리업소명, 처리방법, 사업장소재지(도로명 주소, 지번 주소), 데이터기준일자 등)
Author전북특별자치도 군산시
URLhttps://www.data.go.kr/data/15060255/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 8 (0.4%) duplicate rowsDuplicates

Reproduction

Analysis started2024-03-14 08:55:49.291430
Analysis finished2024-03-14 08:55:51.467978
Duration2.18 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호
Text

Distinct564
Distinct (%)26.3%
Missing0
Missing (%)0.0%
Memory size16.9 KiB
2024-03-14T17:55:52.124166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length9.7878788
Min length2

Characters and Unicode

Total characters20995
Distinct characters381
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

Unique222 ?
Unique (%)10.3%

Sample

1st row롯데칠성음료(주) 군산공장
2nd row롯데칠성음료(주) 군산공장
3rd row롯데칠성음료(주) 군산공장
4th row롯데칠성음료(주) 군산공장
5th row롯데칠성음료(주) 군산공장
ValueCountFrequency (%)
군산공장 171
 
6.2%
주식회사 149
 
5.4%
군산.대산항만물류협회 52
 
1.9%
오씨아이 51
 
1.8%
대상(주 49
 
1.8%
대한이앤이 36
 
1.3%
에코이앤에스(주 35
 
1.3%
유한회사 33
 
1.2%
한화에너지(주 31
 
1.1%
군산2공장 29
 
1.0%
Other values (598) 2133
77.0%
2024-03-14T17:55:53.491505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1721
 
8.2%
) 1641
 
7.8%
( 1637
 
7.8%
산 899
 
4.3%
군 643
 
3.1%
624
 
3.0%
이 604
 
2.9%
스 493
 
2.3%
에 464
 
2.2%
공 439
 
2.1%
Other values (371) 11830
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16901
80.5%
Close Punctuation 1642
 
7.8%
Open Punctuation 1638
 
7.8%
Space Separator 624
 
3.0%
Decimal Number 61
 
0.3%
Other Punctuation 54
 
0.3%
Uppercase Letter 44
 
0.2%
Lowercase Letter 24
 
0.1%
Dash Punctuation 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1721
 
10.2%
산 899
 
5.3%
군 643
 
3.8%
이 604
 
3.6%
스 493
 
2.9%
에 464
 
2.7%
공 439
 
2.6%
장 425
 
2.5%
사 350
 
2.1%
회 330
 
2.0%
Other values (342) 10533
62.3%
Uppercase Letter
ValueCountFrequency (%)
S 19
43.2%
H 12
27.3%
K 5
 
11.4%
D 4
 
9.1%
C 1
 
2.3%
R 1
 
2.3%
I 1
 
2.3%
T 1
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
l 6
25.0%
o 6
25.0%
i 6
25.0%
s 2
 
8.3%
t 1
 
4.2%
e 1
 
4.2%
c 1
 
4.2%
h 1
 
4.2%
Decimal Number
ValueCountFrequency (%)
2 49
80.3%
1 7
 
11.5%
3 2
 
3.3%
8 2
 
3.3%
7 1
 
1.6%
Close Punctuation
ValueCountFrequency (%)
) 1641
99.9%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1637
99.9%
[ 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
. 52
96.3%
/ 2
 
3.7%
Space Separator
ValueCountFrequency (%)
624
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16901
80.5%
Common 4026
 
19.2%
Latin 68
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1721
 
10.2%
산 899
 
5.3%
군 643
 
3.8%
이 604
 
3.6%
스 493
 
2.9%
에 464
 
2.7%
공 439
 
2.6%
장 425
 
2.5%
사 350
 
2.1%
회 330
 
2.0%
Other values (342) 10533
62.3%
Latin
ValueCountFrequency (%)
S 19
27.9%
H 12
17.6%
l 6
 
8.8%
o 6
 
8.8%
i 6
 
8.8%
K 5
 
7.4%
D 4
 
5.9%
s 2
 
2.9%
C 1
 
1.5%
R 1
 
1.5%
Other values (6) 6
 
8.8%
Common
ValueCountFrequency (%)
) 1641
40.8%
( 1637
40.7%
624
 
15.5%
. 52
 
1.3%
2 49
 
1.2%
1 7
 
0.2%
- 7
 
0.2%
3 2
 
< 0.1%
/ 2
 
< 0.1%
8 2
 
< 0.1%
Other values (3) 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16901
80.5%
ASCII 4094
 
19.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1721
 
10.2%
산 899
 
5.3%
군 643
 
3.8%
이 604
 
3.6%
스 493
 
2.9%
에 464
 
2.7%
공 439
 
2.6%
장 425
 
2.5%
사 350
 
2.1%
회 330
 
2.0%
Other values (342) 10533
62.3%
ASCII
ValueCountFrequency (%)
) 1641
40.1%
( 1637
40.0%
624
 
15.2%
. 52
 
1.3%
2 49
 
1.2%
S 19
 
0.5%
H 12
 
0.3%
1 7
 
0.2%
- 7
 
0.2%
l 6
 
0.1%
Other values (19) 40
 
1.0%

신고기준년도
Real number (ℝ)

Distinct30
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2010.2443
Minimum1992
Maximum2024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.0 KiB
2024-03-14T17:55:53.862749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1992
5-th percentile1996
Q12003
median2013
Q32017
95-th percentile2021
Maximum2024
Range32
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.4621632
Coefficient of variation (CV)0.0042095198
Kurtosis-1.0279168
Mean2010.2443
Median Absolute Deviation (MAD)6
Skewness-0.42517156
Sum4311974
Variance71.608205
MonotonicityIncreasing
2024-03-14T17:55:54.247618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
2013 204
 
9.5%
1997 159
 
7.4%
2020 154
 
7.2%
2008 148
 
6.9%
2014 148
 
6.9%
1996 140
 
6.5%
2016 111
 
5.2%
2018 105
 
4.9%
2015 96
 
4.5%
2017 90
 
4.2%
Other values (20) 790
36.8%
ValueCountFrequency (%)
1992 26
 
1.2%
1996 140
6.5%
1997 159
7.4%
1998 39
 
1.8%
1999 3
 
0.1%
2000 29
 
1.4%
2001 27
 
1.3%
2002 80
3.7%
2003 62
 
2.9%
2004 48
 
2.2%
ValueCountFrequency (%)
2024 11
 
0.5%
2023 42
 
2.0%
2022 53
 
2.5%
2021 76
3.5%
2020 154
7.2%
2019 56
 
2.6%
2018 105
4.9%
2017 90
4.2%
2016 111
5.2%
2015 96
4.5%

폐기물 종류
Text

Distinct133
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size16.9 KiB
2024-03-14T17:55:55.363591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length135
Median length84
Mean length13.434033
Min length1

Characters and Unicode

Total characters28816
Distinct characters236
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)1.6%

Sample

1st row폐유리병류(「자원의 절약과 재활용촉진에 관한 법률 시행령」 제18조제1호에 해당하는 것을 말한다)
2nd row폐도자기조각
3rd row그 밖의 식물성잔재물
4th row그 밖의 폐기물
5th row그 밖의 식물성잔재물
ValueCountFrequency (%)
그 701
 
13.6%
밖의 701
 
13.6%
제외한다 558
 
10.8%
폐합성수지류(폐염화비닐수지류는 518
 
10.0%
폐수처리오니 196
 
3.8%
폐합성수지류 148
 
2.9%
폐기물 108
 
2.1%
분진 94
 
1.8%
폐목재류 90
 
1.7%
공정오니 84
 
1.6%
Other values (235) 1966
38.1%
2024-03-14T17:55:56.973142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3077
 
10.7%
폐 2300
 
8.0%
수 1475
 
5.1%
류 1421
 
4.9%
지 1263
 
4.4%
성 916
 
3.2%
의 789
 
2.7%
합 731
 
2.5%
한 719
 
2.5%
그 711
 
2.5%
Other values (226) 15414
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24286
84.3%
Space Separator 3077
 
10.7%
Open Punctuation 635
 
2.2%
Close Punctuation 635
 
2.2%
Connector Punctuation 122
 
0.4%
Decimal Number 49
 
0.2%
Other Punctuation 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
폐 2300
 
9.5%
수 1475
 
6.1%
류 1421
 
5.9%
지 1263
 
5.2%
성 916
 
3.8%
의 789
 
3.2%
합 731
 
3.0%
한 719
 
3.0%
그 711
 
2.9%
밖 701
 
2.9%
Other values (213) 13260
54.6%
Decimal Number
ValueCountFrequency (%)
1 17
34.7%
3 10
20.4%
2 10
20.4%
4 10
20.4%
8 2
 
4.1%
Open Punctuation
ValueCountFrequency (%)
( 630
99.2%
「 5
 
0.8%
Close Punctuation
ValueCountFrequency (%)
) 630
99.2%
」 5
 
0.8%
Other Punctuation
ValueCountFrequency (%)
. 10
83.3%
· 2
 
16.7%
Space Separator
ValueCountFrequency (%)
3077
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 122
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24286
84.3%
Common 4530
 
15.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
폐 2300
 
9.5%
수 1475
 
6.1%
류 1421
 
5.9%
지 1263
 
5.2%
성 916
 
3.8%
의 789
 
3.2%
합 731
 
3.0%
한 719
 
3.0%
그 711
 
2.9%
밖 701
 
2.9%
Other values (213) 13260
54.6%
Common
ValueCountFrequency (%)
3077
67.9%
( 630
 
13.9%
) 630
 
13.9%
_ 122
 
2.7%
1 17
 
0.4%
. 10
 
0.2%
3 10
 
0.2%
2 10
 
0.2%
4 10
 
0.2%
「 5
 
0.1%
Other values (3) 9
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24181
83.9%
ASCII 4518
 
15.7%
Compat Jamo 105
 
0.4%
None 12
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3077
68.1%
( 630
 
13.9%
) 630
 
13.9%
_ 122
 
2.7%
1 17
 
0.4%
. 10
 
0.2%
3 10
 
0.2%
2 10
 
0.2%
4 10
 
0.2%
8 2
 
< 0.1%
Hangul
ValueCountFrequency (%)
폐 2300
 
9.5%
수 1475
 
6.1%
류 1421
 
5.9%
지 1263
 
5.2%
성 916
 
3.8%
의 789
 
3.3%
합 731
 
3.0%
한 719
 
3.0%
그 711
 
2.9%
밖 701
 
2.9%
Other values (212) 13155
54.4%
Compat Jamo
ValueCountFrequency (%)
ㆍ 105
100.0%
None
ValueCountFrequency (%)
「 5
41.7%
」 5
41.7%
· 2
 
16.7%

운반자
Text

Distinct456
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Memory size16.9 KiB
2024-03-14T17:55:58.167687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length27
Mean length6.84662
Min length1

Characters and Unicode

Total characters14686
Distinct characters273
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

Unique264 ?
Unique (%)12.3%

Sample

1st row(유)우주산업
2nd row(유)우주산업
3rd row(유)우주산업
4th row(주)엔아이티
5th row(주)홍보에너지
ValueCountFrequency (%)
주)엔아이티 121
 
5.6%
주)보은산업 109
 
5.0%
청정환경(유 109
 
5.0%
유)우주산업 98
 
4.5%
유)서구 96
 
4.4%
자가 92
 
4.3%
유)이음산업 90
 
4.2%
유)대한이앤이 89
 
4.1%
유)원산업 88
 
4.1%
조은환경 58
 
2.7%
Other values (448) 1214
56.1%
2024-03-14T17:55:59.739152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 1759
 
12.0%
( 1758
 
12.0%
유 1003
 
6.8%
주 944
 
6.4%
업 719
 
4.9%
이 685
 
4.7%
산 684
 
4.7%
경 544
 
3.7%
환 524
 
3.6%
대 244
 
1.7%
Other values (263) 5822
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11040
75.2%
Close Punctuation 1759
 
12.0%
Open Punctuation 1758
 
12.0%
Space Separator 57
 
0.4%
Uppercase Letter 38
 
0.3%
Connector Punctuation 22
 
0.1%
Decimal Number 8
 
0.1%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 1003
 
9.1%
주 944
 
8.6%
업 719
 
6.5%
이 685
 
6.2%
산 684
 
6.2%
경 544
 
4.9%
환 524
 
4.7%
대 244
 
2.2%
한 203
 
1.8%
엔 186
 
1.7%
Other values (245) 5304
48.0%
Uppercase Letter
ValueCountFrequency (%)
C 8
21.1%
K 8
21.1%
R 5
13.2%
J 4
10.5%
H 4
10.5%
S 4
10.5%
M 2
 
5.3%
D 2
 
5.3%
E 1
 
2.6%
Decimal Number
ValueCountFrequency (%)
0 4
50.0%
2 2
25.0%
5 1
 
12.5%
7 1
 
12.5%
Close Punctuation
ValueCountFrequency (%)
) 1759
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1758
100.0%
Space Separator
ValueCountFrequency (%)
57
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 22
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11040
75.2%
Common 3608
 
24.6%
Latin 38
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 1003
 
9.1%
주 944
 
8.6%
업 719
 
6.5%
이 685
 
6.2%
산 684
 
6.2%
경 544
 
4.9%
환 524
 
4.7%
대 244
 
2.2%
한 203
 
1.8%
엔 186
 
1.7%
Other values (245) 5304
48.0%
Common
ValueCountFrequency (%)
) 1759
48.8%
( 1758
48.7%
57
 
1.6%
_ 22
 
0.6%
. 4
 
0.1%
0 4
 
0.1%
2 2
 
0.1%
5 1
 
< 0.1%
7 1
 
< 0.1%
Latin
ValueCountFrequency (%)
C 8
21.1%
K 8
21.1%
R 5
13.2%
J 4
10.5%
H 4
10.5%
S 4
10.5%
M 2
 
5.3%
D 2
 
5.3%
E 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11040
75.2%
ASCII 3646
 
24.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 1759
48.2%
( 1758
48.2%
57
 
1.6%
_ 22
 
0.6%
C 8
 
0.2%
K 8
 
0.2%
R 5
 
0.1%
. 4
 
0.1%
J 4
 
0.1%
H 4
 
0.1%
Other values (8) 17
 
0.5%
Hangul
ValueCountFrequency (%)
유 1003
 
9.1%
주 944
 
8.6%
업 719
 
6.5%
이 685
 
6.2%
산 684
 
6.2%
경 544
 
4.9%
환 524
 
4.7%
대 244
 
2.2%
한 203
 
1.8%
엔 186
 
1.7%
Other values (245) 5304
48.0%

처리업소명
Text

Distinct607
Distinct (%)28.3%
Missing0
Missing (%)0.0%
Memory size16.9 KiB
2024-03-14T17:56:00.654573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length8.0806527
Min length1

Characters and Unicode

Total characters17333
Distinct characters334
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

Unique381 ?
Unique (%)17.8%

Sample

1st row동원시스템즈(주)군산공장
2nd row(주)국인산업
3rd row(주)국인산업
4th row(주)엔아이티
5th row(주)홍보에너지
ValueCountFrequency (%)
주)엔아이티 252
 
11.3%
주)국인산업 179
 
8.0%
주)이엠케이승경 70
 
3.1%
주)케이비아이국인산업 68
 
3.0%
주)한결그린 50
 
2.2%
주)보림씨에스 41
 
1.8%
한솔이엠이(주)군산사업소 40
 
1.8%
에코이앤에스(주 40
 
1.8%
주원전주(주 29
 
1.3%
군산시매립장 28
 
1.3%
Other values (619) 1434
64.3%
2024-03-14T17:56:01.941974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 1798
 
10.4%
) 1798
 
10.4%
주 1660
 
9.6%
이 1070
 
6.2%
업 685
 
4.0%
산 662
 
3.8%
유 358
 
2.1%
인 350
 
2.0%
에 346
 
2.0%
아 346
 
2.0%
Other values (324) 8260
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13442
77.6%
Open Punctuation 1798
 
10.4%
Close Punctuation 1798
 
10.4%
Uppercase Letter 133
 
0.8%
Space Separator 121
 
0.7%
Lowercase Letter 26
 
0.2%
Other Punctuation 6
 
< 0.1%
Decimal Number 5
 
< 0.1%
Connector Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1660
 
12.3%
이 1070
 
8.0%
업 685
 
5.1%
산 662
 
4.9%
유 358
 
2.7%
인 350
 
2.6%
에 346
 
2.6%
아 346
 
2.6%
엔 333
 
2.5%
티 296
 
2.2%
Other values (283) 7336
54.6%
Uppercase Letter
ValueCountFrequency (%)
K 17
12.8%
C 14
10.5%
A 13
9.8%
S 12
 
9.0%
R 11
 
8.3%
I 10
 
7.5%
B 7
 
5.3%
G 6
 
4.5%
M 6
 
4.5%
J 5
 
3.8%
Other values (11) 32
24.1%
Lowercase Letter
ValueCountFrequency (%)
i 7
26.9%
u 4
15.4%
s 3
11.5%
n 3
11.5%
k 2
 
7.7%
t 1
 
3.8%
h 1
 
3.8%
o 1
 
3.8%
g 1
 
3.8%
r 1
 
3.8%
Other values (2) 2
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 4
66.7%
& 1
 
16.7%
/ 1
 
16.7%
Open Punctuation
ValueCountFrequency (%)
( 1798
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1798
100.0%
Space Separator
ValueCountFrequency (%)
121
100.0%
Decimal Number
ValueCountFrequency (%)
2 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13442
77.6%
Common 3732
 
21.5%
Latin 159
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1660
 
12.3%
이 1070
 
8.0%
업 685
 
5.1%
산 662
 
4.9%
유 358
 
2.7%
인 350
 
2.6%
에 346
 
2.6%
아 346
 
2.6%
엔 333
 
2.5%
티 296
 
2.2%
Other values (283) 7336
54.6%
Latin
ValueCountFrequency (%)
K 17
 
10.7%
C 14
 
8.8%
A 13
 
8.2%
S 12
 
7.5%
R 11
 
6.9%
I 10
 
6.3%
B 7
 
4.4%
i 7
 
4.4%
G 6
 
3.8%
M 6
 
3.8%
Other values (23) 56
35.2%
Common
ValueCountFrequency (%)
( 1798
48.2%
) 1798
48.2%
121
 
3.2%
2 5
 
0.1%
_ 4
 
0.1%
. 4
 
0.1%
& 1
 
< 0.1%
/ 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13442
77.6%
ASCII 3891
 
22.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 1798
46.2%
) 1798
46.2%
121
 
3.1%
K 17
 
0.4%
C 14
 
0.4%
A 13
 
0.3%
S 12
 
0.3%
R 11
 
0.3%
I 10
 
0.3%
B 7
 
0.2%
Other values (31) 90
 
2.3%
Hangul
ValueCountFrequency (%)
주 1660
 
12.3%
이 1070
 
8.0%
업 685
 
5.1%
산 662
 
4.9%
유 358
 
2.7%
인 350
 
2.6%
에 346
 
2.6%
아 346
 
2.6%
엔 333
 
2.5%
티 296
 
2.2%
Other values (283) 7336
54.6%

처리방법
Categorical

Distinct32
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size16.9 KiB
중간처분(일반소각)
454 
매립(민간관리형매립시설)
321 
재활용(중간가공폐기물 제조)
320 
재활용(직접 제품제조)
198 
재활용(원료 제조)
170 
Other values (27)
682 

Length

Max length19
Median length17
Mean length12.178555
Min length1

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row재활용(원료 제조)
2nd row매립(민간관리형매립시설)
3rd row매립(민간관리형매립시설)
4th row중간처분(일반소각)
5th row재활용(연료·고형연료제품 제조)

Common Values

ValueCountFrequency (%)
중간처분(일반소각) 454
21.2%
매립(민간관리형매립시설) 321
15.0%
재활용(중간가공폐기물 제조) 320
14.9%
재활용(직접 제품제조) 198
9.2%
재활용(원료 제조) 170
 
7.9%
재활용(농업생산활동에 사용) 104
 
4.8%
재활용(연료·고형연료제품 제조) 100
 
4.7%
재활용(토질개선에 사용) 90
 
4.2%
중간처분(파쇄.분쇄) 55
 
2.6%
재활용(파쇄.분쇄) 51
 
2.4%
Other values (22) 282
13.1%

Length

2024-03-14T17:56:02.435967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제조 590
18.4%
중간처분(일반소각 454
14.2%
매립(민간관리형매립시설 321
10.0%
재활용(중간가공폐기물 320
10.0%
사용 228
 
7.1%
재활용(직접 203
 
6.3%
제품제조 198
 
6.2%
재활용(원료 170
 
5.3%
재활용(농업생산활동에 104
 
3.2%
재활용(연료·고형연료제품 100
 
3.1%
Other values (26) 514
16.1%

사업장도로명주소
Text

Distinct542
Distinct (%)25.3%
Missing0
Missing (%)0.0%
Memory size16.9 KiB
2024-03-14T17:56:03.912228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length44
Mean length28.230303
Min length18

Characters and Unicode

Total characters60554
Distinct characters289
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

Unique208 ?
Unique (%)9.7%

Sample

1st row전북특별자치도 군산시 외항1길 222 (소룡동)
2nd row전북특별자치도 군산시 외항1길 222 (소룡동)
3rd row전북특별자치도 군산시 외항1길 222 (소룡동)
4th row전북특별자치도 군산시 외항1길 222 (소룡동)
5th row전북특별자치도 군산시 외항1길 222 (소룡동)
ValueCountFrequency (%)
전북특별자치도 2127
19.0%
군산시 2122
18.9%
소룡동 780
 
7.0%
오식도동 521
 
4.6%
외항로 279
 
2.5%
비응도동 192
 
1.7%
외항1길 157
 
1.4%
서해로 134
 
1.2%
서수면 132
 
1.2%
내초동 128
 
1.1%
Other values (742) 4643
41.4%
2024-03-14T17:56:05.284068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9295
 
15.3%
도 2937
 
4.9%
산 2854
 
4.7%
군 2379
 
3.9%
북 2367
 
3.9%
자 2356
 
3.9%
시 2160
 
3.6%
전 2144
 
3.5%
치 2130
 
3.5%
특 2127
 
3.5%
Other values (279) 29805
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38695
63.9%
Space Separator 9295
 
15.3%
Decimal Number 7464
 
12.3%
Open Punctuation 1856
 
3.1%
Close Punctuation 1856
 
3.1%
Dash Punctuation 592
 
1.0%
Connector Punctuation 446
 
0.7%
Uppercase Letter 221
 
0.4%
Other Symbol 101
 
0.2%
Other Punctuation 28
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 2937
 
7.6%
산 2854
 
7.4%
군 2379
 
6.1%
북 2367
 
6.1%
자 2356
 
6.1%
시 2160
 
5.6%
전 2144
 
5.5%
치 2130
 
5.5%
특 2127
 
5.5%
별 2127
 
5.5%
Other values (244) 15114
39.1%
Uppercase Letter
ValueCountFrequency (%)
S 49
22.2%
A 31
14.0%
B 30
13.6%
M 28
12.7%
F 26
11.8%
T 19
 
8.6%
Y 6
 
2.7%
G 6
 
2.7%
D 6
 
2.7%
E 5
 
2.3%
Other values (4) 15
 
6.8%
Decimal Number
ValueCountFrequency (%)
1 1494
20.0%
2 1192
16.0%
3 915
12.3%
4 701
9.4%
5 698
9.4%
6 629
8.4%
9 500
 
6.7%
7 477
 
6.4%
8 473
 
6.3%
0 385
 
5.2%
Other Punctuation
ValueCountFrequency (%)
. 26
92.9%
: 1
 
3.6%
/ 1
 
3.6%
Open Punctuation
ValueCountFrequency (%)
( 1855
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1855
99.9%
] 1
 
0.1%
Space Separator
ValueCountFrequency (%)
9295
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 592
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 446
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 101
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38796
64.1%
Common 21537
35.6%
Latin 221
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 2937
 
7.6%
산 2854
 
7.4%
군 2379
 
6.1%
북 2367
 
6.1%
자 2356
 
6.1%
시 2160
 
5.6%
전 2144
 
5.5%
치 2130
 
5.5%
특 2127
 
5.5%
별 2127
 
5.5%
Other values (245) 15215
39.2%
Common
ValueCountFrequency (%)
9295
43.2%
( 1855
 
8.6%
) 1855
 
8.6%
1 1494
 
6.9%
2 1192
 
5.5%
3 915
 
4.2%
4 701
 
3.3%
5 698
 
3.2%
6 629
 
2.9%
- 592
 
2.7%
Other values (10) 2311
 
10.7%
Latin
ValueCountFrequency (%)
S 49
22.2%
A 31
14.0%
B 30
13.6%
M 28
12.7%
F 26
11.8%
T 19
 
8.6%
Y 6
 
2.7%
G 6
 
2.7%
D 6
 
2.7%
E 5
 
2.3%
Other values (4) 15
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38695
63.9%
ASCII 21758
35.9%
None 101
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9295
42.7%
( 1855
 
8.5%
) 1855
 
8.5%
1 1494
 
6.9%
2 1192
 
5.5%
3 915
 
4.2%
4 701
 
3.2%
5 698
 
3.2%
6 629
 
2.9%
- 592
 
2.7%
Other values (24) 2532
 
11.6%
Hangul
ValueCountFrequency (%)
도 2937
 
7.6%
산 2854
 
7.4%
군 2379
 
6.1%
북 2367
 
6.1%
자 2356
 
6.1%
시 2160
 
5.6%
전 2144
 
5.5%
치 2130
 
5.5%
특 2127
 
5.5%
별 2127
 
5.5%
Other values (244) 15114
39.1%
None
ValueCountFrequency (%)
㈜ 101
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.9 KiB
2024-03-05
2145 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-05
2nd row2024-03-05
3rd row2024-03-05
4th row2024-03-05
5th row2024-03-05

Common Values

ValueCountFrequency (%)
2024-03-05 2145
100.0%

Length

2024-03-14T17:56:05.500397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:56:05.664859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-05 2145
100.0%

Interactions

2024-03-14T17:55:50.506611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T17:56:05.847553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신고기준년도처리방법
신고기준년도1.0000.441
처리방법0.4411.000
2024-03-14T17:56:06.074848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신고기준년도처리방법
신고기준년도1.0000.169
처리방법0.1691.000

Missing values

2024-03-14T17:55:50.874393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T17:55:51.298206image/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

상호신고기준년도폐기물 종류운반자처리업소명처리방법사업장도로명주소데이터기준일자
0롯데칠성음료(주) 군산공장1992폐유리병류(「자원의 절약과 재활용촉진에 관한 법률 시행령」 제18조제1호에 해당하는 것을 말한다)(유)우주산업동원시스템즈(주)군산공장재활용(원료 제조)전북특별자치도 군산시 외항1길 222 (소룡동)2024-03-05
1롯데칠성음료(주) 군산공장1992폐도자기조각(유)우주산업(주)국인산업매립(민간관리형매립시설)전북특별자치도 군산시 외항1길 222 (소룡동)2024-03-05
2롯데칠성음료(주) 군산공장1992그 밖의 식물성잔재물(유)우주산업(주)국인산업매립(민간관리형매립시설)전북특별자치도 군산시 외항1길 222 (소룡동)2024-03-05
3롯데칠성음료(주) 군산공장1992그 밖의 폐기물(주)엔아이티(주)엔아이티중간처분(일반소각)전북특별자치도 군산시 외항1길 222 (소룡동)2024-03-05
4롯데칠성음료(주) 군산공장1992그 밖의 식물성잔재물(주)홍보에너지(주)홍보에너지재활용(연료·고형연료제품 제조)전북특별자치도 군산시 외항1길 222 (소룡동)2024-03-05
5롯데칠성음료(주) 군산공장1992그 밖의 폐수처리오니청정환경(유)(유)푸른솔케미칼재활용(기타)전북특별자치도 군산시 외항1길 222 (소룡동)2024-03-05
6롯데칠성음료(주) 군산공장1992그 밖의 폐기물보덕산업감사자원(유)우리환경이엔지재활용(원료 제조)전북특별자치도 군산시 외항1길 222 (소룡동)2024-03-05
7롯데칠성음료(주) 군산공장1992그 밖의 폐수처리오니청정환경(유)(유)부령산업재활용(토질개선에 사용)전북특별자치도 군산시 외항1길 222 (소룡동)2024-03-05
8롯데칠성음료(주) 군산공장1992그 밖의 폐수처리오니(주)보은산업동덕재활용(토질개선에 사용)전북특별자치도 군산시 외항1길 222 (소룡동)2024-03-05
9롯데칠성음료(주) 군산공장1992그 밖의 폐수처리오니(주)보은산업한결농장재활용(토질개선에 사용)전북특별자치도 군산시 외항1길 222 (소룡동)2024-03-05
상호신고기준년도폐기물 종류운반자처리업소명처리방법사업장도로명주소데이터기준일자
2135유한회사 하늘2024그 밖의 공정오니(주)수목환경(주)대성에코에너지센터매립(민간관리형매립시설)전북특별자치도 군산시 나포면 십자들로 712-692024-03-05
2136유한회사 하늘2024그 밖의 공정오니(주)수목환경(주)제이엔텍매립(민간관리형매립시설)전북특별자치도 군산시 나포면 십자들로 712-692024-03-05
2137유한회사 하늘2024폐합성수지류(폐염화비닐수지류는 제외한다)(주)한결그린(주)한결그린재활용(중간가공폐기물 제조)전북특별자치도 군산시 나포면 십자들로 712-692024-03-05
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1군산그린에너지센터(주)2020폐합성수지류(폐염화비닐수지류는 제외한다)(주)대장로지스(주)한국자원환경재활용(원료 제조)전북특별자치도 군산시 새만금북로 630-28 (내초동)2024-03-052
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4도레이첨단소재(주)군산공장2015공정오니(유)동화환경(주)국인산업매립(민간관리형매립시설)전북특별자치도 군산시 새만금북로 1 (오식도동)2024-03-052
5에스엠스틸(주)2020그 밖의 분진조은환경성광스틸재활용(원료 제조)전북특별자치도 군산시 자유무역로 193_ SM스틸군산공장 (오식도동)2024-03-052
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