Overview

Dataset statistics

Number of variables12
Number of observations370
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory35.2 KiB
Average record size in memory97.4 B

Variable types

Numeric1
Text6
Categorical5

Dataset

Description환경통계정보시스템에 등록된 간행물 목록 정보(간행물명, 상위분야명, 간행물제목, 보고서 번호, 단체명, 서명저자사항, 발행사항, 형태사항, 부출표명, 담당기관명, 기타정보)를 제공합니다.
Author환경부
URLhttps://www.data.go.kr/data/15088574/fileData.do

Alerts

보고서 번호 is highly overall correlated with 단체명 and 1 other fieldsHigh correlation
단체명 is highly overall correlated with 보고서 번호High correlation
담당기관명 is highly overall correlated with 보고서 번호High correlation
보고서 번호 is highly imbalanced (59.2%)Imbalance
단체명 is highly imbalanced (77.3%)Imbalance
담당기관명 is highly imbalanced (56.2%)Imbalance
기타정보 is highly imbalanced (89.1%)Imbalance
일련번호 has unique valuesUnique
간행물명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:12:03.877005
Analysis finished2023-12-12 11:12:05.401761
Duration1.52 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

UNIQUE 

Distinct370
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean249.72703
Minimum1
Maximum486
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-12T20:12:05.522892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile20.45
Q1122.25
median268.5
Q3365.75
95-th percentile467.55
Maximum486
Range485
Interquartile range (IQR)243.5

Descriptive statistics

Standard deviation143.64277
Coefficient of variation (CV)0.57519913
Kurtosis-1.2077826
Mean249.72703
Median Absolute Deviation (MAD)124.5
Skewness-0.10612013
Sum92399
Variance20633.245
MonotonicityStrictly increasing
2023-12-12T20:12:05.736552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
332 1
 
0.3%
341 1
 
0.3%
340 1
 
0.3%
339 1
 
0.3%
338 1
 
0.3%
337 1
 
0.3%
336 1
 
0.3%
335 1
 
0.3%
334 1
 
0.3%
Other values (360) 360
97.3%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
486 1
0.3%
485 1
0.3%
484 1
0.3%
483 1
0.3%
482 1
0.3%
481 1
0.3%
480 1
0.3%
479 1
0.3%
478 1
0.3%
477 1
0.3%

간행물명
Text

UNIQUE 

Distinct370
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-12T20:12:06.165782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length34
Mean length18.664865
Min length4

Characters and Unicode

Total characters6906
Distinct characters102
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique370 ?
Unique (%)100.0%

Sample

1st row환경통계연감
2nd row대기환경월보
3rd row대기환경연보
4th row수질통계
5th row상수도통계
ValueCountFrequency (%)
대기환경월보 158
 
12.7%
및 47
 
3.8%
발생 43
 
3.5%
처리현황 39
 
3.1%
환경통계연감 23
 
1.9%
폐기물 22
 
1.8%
처리 20
 
1.6%
발생과 20
 
1.6%
통계연감 19
 
1.5%
하수도통계 17
 
1.4%
Other values (285) 832
67.1%
2023-12-12T20:12:06.901472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
883
 
12.8%
0 693
 
10.0%
2 581
 
8.4%
1 445
 
6.4%
월 326
 
4.7%
기 262
 
3.8%
( 235
 
3.4%
) 235
 
3.4%
경 213
 
3.1%
환 213
 
3.1%
Other values (92) 2820
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3203
46.4%
Decimal Number 2239
32.4%
Space Separator 883
 
12.8%
Open Punctuation 235
 
3.4%
Close Punctuation 235
 
3.4%
Other Punctuation 53
 
0.8%
Lowercase Letter 45
 
0.7%
Uppercase Letter 9
 
0.1%
Math Symbol 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
월 326
 
10.2%
기 262
 
8.2%
경 213
 
6.7%
환 213
 
6.7%
년 191
 
6.0%
보 191
 
6.0%
대 183
 
5.7%
통 107
 
3.3%
계 107
 
3.3%
수 98
 
3.1%
Other values (55) 1312
41.0%
Lowercase Letter
ValueCountFrequency (%)
i 9
20.0%
e 7
15.6%
r 4
8.9%
t 4
8.9%
n 3
 
6.7%
d 3
 
6.7%
u 3
 
6.7%
f 3
 
6.7%
a 2
 
4.4%
s 2
 
4.4%
Other values (5) 5
11.1%
Decimal Number
ValueCountFrequency (%)
0 693
31.0%
2 581
25.9%
1 445
19.9%
9 115
 
5.1%
8 82
 
3.7%
6 70
 
3.1%
7 70
 
3.1%
3 64
 
2.9%
4 60
 
2.7%
5 59
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
G 3
33.3%
B 3
33.3%
E 1
 
11.1%
S 1
 
11.1%
A 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
. 31
58.5%
: 16
30.2%
· 6
 
11.3%
Space Separator
ValueCountFrequency (%)
883
100.0%
Open Punctuation
ValueCountFrequency (%)
( 235
100.0%
Close Punctuation
ValueCountFrequency (%)
) 235
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3649
52.8%
Hangul 3203
46.4%
Latin 54
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
월 326
 
10.2%
기 262
 
8.2%
경 213
 
6.7%
환 213
 
6.7%
년 191
 
6.0%
보 191
 
6.0%
대 183
 
5.7%
통 107
 
3.3%
계 107
 
3.3%
수 98
 
3.1%
Other values (55) 1312
41.0%
Latin
ValueCountFrequency (%)
i 9
16.7%
e 7
13.0%
r 4
 
7.4%
t 4
 
7.4%
n 3
 
5.6%
d 3
 
5.6%
u 3
 
5.6%
G 3
 
5.6%
f 3
 
5.6%
B 3
 
5.6%
Other values (10) 12
22.2%
Common
ValueCountFrequency (%)
883
24.2%
0 693
19.0%
2 581
15.9%
1 445
12.2%
( 235
 
6.4%
) 235
 
6.4%
9 115
 
3.2%
8 82
 
2.2%
6 70
 
1.9%
7 70
 
1.9%
Other values (7) 240
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3697
53.5%
Hangul 3203
46.4%
None 6
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
883
23.9%
0 693
18.7%
2 581
15.7%
1 445
12.0%
( 235
 
6.4%
) 235
 
6.4%
9 115
 
3.1%
8 82
 
2.2%
6 70
 
1.9%
7 70
 
1.9%
Other values (26) 288
 
7.8%
Hangul
ValueCountFrequency (%)
월 326
 
10.2%
기 262
 
8.2%
경 213
 
6.7%
환 213
 
6.7%
년 191
 
6.0%
보 191
 
6.0%
대 183
 
5.7%
통 107
 
3.3%
계 107
 
3.3%
수 98
 
3.1%
Other values (55) 1312
41.0%
None
ValueCountFrequency (%)
· 6
100.0%

상위분야명
Categorical

Distinct15
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
대기환경월보
157 
폐기물통계
40 
수질통계
26 
환경통계연감
22 
대기환경연보
22 
Other values (10)
103 

Length

Max length16
Median length6
Mean length5.9351351
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대기환경월보 157
42.4%
폐기물통계 40
 
10.8%
수질통계 26
 
7.0%
환경통계연감 22
 
5.9%
대기환경연보 22
 
5.9%
하수도통계 22
 
5.9%
상수도통계 19
 
5.1%
수도권 매립지 통계연감 18
 
4.9%
쓰레기종량제 현황 15
 
4.1%
상위 13
 
3.5%
Other values (5) 16
 
4.3%

Length

2023-12-12T20:12:07.170538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대기환경월보 157
36.3%
폐기물통계 40
 
9.2%
수질통계 26
 
6.0%
환경통계연감 22
 
5.1%
대기환경연보 22
 
5.1%
하수도통계 22
 
5.1%
상수도통계 19
 
4.4%
수도권 18
 
4.2%
매립지 18
 
4.2%
통계연감 18
 
4.2%
Other values (11) 71
16.4%

간행물제목
Text

Distinct358
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-12T20:12:07.663051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length46
Mean length21.145946
Min length1

Characters and Unicode

Total characters7824
Distinct characters116
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

Unique357 ?
Unique (%)96.5%

Sample

1st row
2nd row
3rd row
4th row
5th row
ValueCountFrequency (%)
대기환경월보 157
 
11.2%
및 48
 
3.4%
발생 44
 
3.1%
39
 
2.8%
처리현황 35
 
2.5%
폐기물 22
 
1.6%
환경통계연감 22
 
1.6%
처리 21
 
1.5%
발생과 20
 
1.4%
기준 20
 
1.4%
Other values (302) 979
69.6%
2023-12-12T20:12:08.427926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1075
 
13.7%
0 742
 
9.5%
2 610
 
7.8%
1 470
 
6.0%
월 324
 
4.1%
기 263
 
3.4%
( 252
 
3.2%
) 252
 
3.2%
환 218
 
2.8%
경 218
 
2.8%
Other values (106) 3400
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3295
42.1%
Decimal Number 2373
30.3%
Space Separator 1075
 
13.7%
Lowercase Letter 389
 
5.0%
Open Punctuation 252
 
3.2%
Close Punctuation 252
 
3.2%
Other Punctuation 102
 
1.3%
Uppercase Letter 74
 
0.9%
Math Symbol 11
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
월 324
 
9.8%
기 263
 
8.0%
환 218
 
6.6%
경 218
 
6.6%
년 191
 
5.8%
보 188
 
5.7%
대 180
 
5.5%
계 97
 
2.9%
통 97
 
2.9%
수 96
 
2.9%
Other values (60) 1423
43.2%
Lowercase Letter
ValueCountFrequency (%)
i 51
13.1%
n 47
12.1%
e 38
9.8%
t 37
9.5%
r 36
9.3%
a 35
9.0%
o 34
8.7%
u 24
6.2%
l 23
5.9%
f 13
 
3.3%
Other values (8) 51
13.1%
Decimal Number
ValueCountFrequency (%)
0 742
31.3%
2 610
25.7%
1 470
19.8%
9 128
 
5.4%
8 85
 
3.6%
6 72
 
3.0%
3 72
 
3.0%
7 71
 
3.0%
4 62
 
2.6%
5 61
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
A 34
45.9%
K 11
 
14.9%
R 11
 
14.9%
Q 11
 
14.9%
B 2
 
2.7%
G 2
 
2.7%
S 1
 
1.4%
E 1
 
1.4%
I 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
. 47
46.1%
: 40
39.2%
, 11
 
10.8%
· 4
 
3.9%
Space Separator
ValueCountFrequency (%)
1075
100.0%
Open Punctuation
ValueCountFrequency (%)
( 252
100.0%
Close Punctuation
ValueCountFrequency (%)
) 252
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4066
52.0%
Hangul 3295
42.1%
Latin 463
 
5.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
월 324
 
9.8%
기 263
 
8.0%
환 218
 
6.6%
경 218
 
6.6%
년 191
 
5.8%
보 188
 
5.7%
대 180
 
5.5%
계 97
 
2.9%
통 97
 
2.9%
수 96
 
2.9%
Other values (60) 1423
43.2%
Latin
ValueCountFrequency (%)
i 51
11.0%
n 47
10.2%
e 38
 
8.2%
t 37
 
8.0%
r 36
 
7.8%
a 35
 
7.6%
A 34
 
7.3%
o 34
 
7.3%
u 24
 
5.2%
l 23
 
5.0%
Other values (17) 104
22.5%
Common
ValueCountFrequency (%)
1075
26.4%
0 742
18.2%
2 610
15.0%
1 470
11.6%
( 252
 
6.2%
) 252
 
6.2%
9 128
 
3.1%
8 85
 
2.1%
6 72
 
1.8%
3 72
 
1.8%
Other values (9) 308
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4525
57.8%
Hangul 3295
42.1%
None 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1075
23.8%
0 742
16.4%
2 610
13.5%
1 470
10.4%
( 252
 
5.6%
) 252
 
5.6%
9 128
 
2.8%
8 85
 
1.9%
6 72
 
1.6%
3 72
 
1.6%
Other values (35) 767
17.0%
Hangul
ValueCountFrequency (%)
월 324
 
9.8%
기 263
 
8.0%
환 218
 
6.6%
경 218
 
6.6%
년 191
 
5.8%
보 188
 
5.7%
대 180
 
5.5%
계 97
 
2.9%
통 97
 
2.9%
수 96
 
2.9%
Other values (60) 1423
43.2%
None
ValueCountFrequency (%)
· 4
100.0%

보고서 번호
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct43
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
259 
11-1480083-000177-06
 
25
11-1480000-000532-10
 
12
11-1480000-000159-10
 
9
11-1480000-000181-10
 
9
Other values (38)
56 

Length

Max length41
Median length1
Mean length6.8540541
Min length1

Unique

Unique30 ?
Unique (%)8.1%

Sample

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

Common Values

ValueCountFrequency (%)
259
70.0%
11-1480083-000177-06 25
 
6.8%
11-1480000-000532-10 12
 
3.2%
11-1480000-000159-10 9
 
2.4%
11-1480000-000181-10 9
 
2.4%
11-1480523-000003-10 4
 
1.1%
11-1480000-000084-10 4
 
1.1%
11-1480000-000207-10 4
 
1.1%
11-1480000-00207-10 4
 
1.1%
11-B552584-000005-10 3
 
0.8%
Other values (33) 37
 
10.0%

Length

2023-12-12T20:12:08.711369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
11-1480083-000177-06 26
23.0%
11-1480000-000532-10 12
 
10.6%
11-1480000-000159-10 9
 
8.0%
11-1480000-000181-10 9
 
8.0%
11-1480523-000003-10 4
 
3.5%
11-1480000-000084-10 4
 
3.5%
11-1480000-000207-10 4
 
3.5%
11-1480000-00207-10 4
 
3.5%
11-1480000-000081-10 3
 
2.7%
11-b552584-000005-10 3
 
2.7%
Other values (32) 35
31.0%

단체명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct9
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
환경부
321 
40 
수도권매립지관리공사
 
3
환경부 대기정책과
 
1
환경부 ; 상하수도정책관실 ; 생활하수과
 
1
Other values (4)
 
4

Length

Max length23
Median length3
Mean length3.0108108
Min length1

Unique

Unique6 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
환경부 321
86.8%
40
 
10.8%
수도권매립지관리공사 3
 
0.8%
환경부 대기정책과 1
 
0.3%
환경부 ; 상하수도정책관실 ; 생활하수과 1
 
0.3%
환경부 ; 상하수도정책관실 ; 생활하수과 1
 
0.3%
환경부 1
 
0.3%
수도권매립지관리공사 1
 
0.3%
수도권매립지관리공사 1
 
0.3%

Length

2023-12-12T20:12:08.967343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:12:09.174583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
환경부 325
95.9%
수도권매립지관리공사 5
 
1.5%
4
 
1.2%
상하수도정책관실 2
 
0.6%
생활하수과 2
 
0.6%
대기정책과 1
 
0.3%

서명저자사항
Text

Distinct133
Distinct (%)35.9%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-12T20:12:09.515929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length46
Mean length29.843243
Min length1

Characters and Unicode

Total characters11042
Distinct characters125
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)21.1%

Sample

1st row
2nd row
3rd row
4th row
5th row
ValueCountFrequency (%)
753
34.4%
환경부 227
 
10.4%
국립환경과학원 188
 
8.6%
대기환경연구과 151
 
6.9%
기후대기정책과 138
 
6.3%
기후대기연구부 115
 
5.3%
지음 105
 
4.8%
대기정책과 33
 
1.5%
한국환경공단 30
 
1.4%
국립환경연구원 21
 
1.0%
Other values (96) 428
19.6%
2023-12-12T20:12:10.161915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1855
16.8%
; 876
 
7.9%
기 803
 
7.3%
환 729
 
6.6%
경 699
 
6.3%
과 659
 
6.0%
대 470
 
4.3%
부 379
 
3.4%
연 341
 
3.1%
구 334
 
3.0%
Other values (115) 3897
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8206
74.3%
Space Separator 1855
 
16.8%
Other Punctuation 939
 
8.5%
Decimal Number 32
 
0.3%
Open Punctuation 5
 
< 0.1%
Close Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 803
 
9.8%
환 729
 
8.9%
경 699
 
8.5%
과 659
 
8.0%
대 470
 
5.7%
부 379
 
4.6%
연 341
 
4.2%
구 334
 
4.1%
정 312
 
3.8%
원 303
 
3.7%
Other values (100) 3177
38.7%
Decimal Number
ValueCountFrequency (%)
0 12
37.5%
2 7
21.9%
1 7
21.9%
9 3
 
9.4%
5 1
 
3.1%
4 1
 
3.1%
3 1
 
3.1%
Other Punctuation
ValueCountFrequency (%)
; 876
93.3%
, 50
 
5.3%
/ 5
 
0.5%
. 5
 
0.5%
: 3
 
0.3%
Space Separator
ValueCountFrequency (%)
1855
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8206
74.3%
Common 2836
 
25.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 803
 
9.8%
환 729
 
8.9%
경 699
 
8.5%
과 659
 
8.0%
대 470
 
5.7%
부 379
 
4.6%
연 341
 
4.2%
구 334
 
4.1%
정 312
 
3.8%
원 303
 
3.7%
Other values (100) 3177
38.7%
Common
ValueCountFrequency (%)
1855
65.4%
; 876
30.9%
, 50
 
1.8%
0 12
 
0.4%
2 7
 
0.2%
1 7
 
0.2%
( 5
 
0.2%
/ 5
 
0.2%
) 5
 
0.2%
. 5
 
0.2%
Other values (5) 9
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8206
74.3%
ASCII 2836
 
25.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1855
65.4%
; 876
30.9%
, 50
 
1.8%
0 12
 
0.4%
2 7
 
0.2%
1 7
 
0.2%
( 5
 
0.2%
/ 5
 
0.2%
) 5
 
0.2%
. 5
 
0.2%
Other values (5) 9
 
0.3%
Hangul
ValueCountFrequency (%)
기 803
 
9.8%
환 729
 
8.9%
경 699
 
8.5%
과 659
 
8.0%
대 470
 
5.7%
부 379
 
4.6%
연 341
 
4.2%
구 334
 
4.1%
정 312
 
3.8%
원 303
 
3.7%
Other values (100) 3177
38.7%

발행사항
Text

Distinct118
Distinct (%)31.9%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-12T20:12:10.422012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length26
Mean length14.364865
Min length1

Characters and Unicode

Total characters5315
Distinct characters51
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

Unique77 ?
Unique (%)20.8%

Sample

1st row
2nd row
3rd row
4th row
5th row
ValueCountFrequency (%)
291
22.2%
환경부 279
21.3%
과천 156
11.9%
세종 154
11.8%
2013 29
 
2.2%
인천 29
 
2.2%
2017 27
 
2.1%
2019 23
 
1.8%
2009 23
 
1.8%
2011 23
 
1.8%
Other values (38) 276
21.1%
2023-12-12T20:12:10.942993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
986
18.6%
0 494
9.3%
2 393
 
7.4%
: 362
 
6.8%
, 357
 
6.7%
환 345
 
6.5%
경 345
 
6.5%
부 338
 
6.4%
1 262
 
4.9%
. 207
 
3.9%
Other values (41) 1226
23.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1954
36.8%
Decimal Number 1428
26.9%
Space Separator 986
18.6%
Other Punctuation 926
17.4%
Lowercase Letter 19
 
0.4%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
환 345
17.7%
경 345
17.7%
부 338
17.3%
천 185
9.5%
과 163
8.3%
세 155
7.9%
종 155
7.9%
인 29
 
1.5%
립 25
 
1.3%
사 18
 
0.9%
Other values (14) 196
10.0%
Lowercase Letter
ValueCountFrequency (%)
n 4
21.1%
i 3
15.8%
t 2
10.5%
r 2
10.5%
o 2
10.5%
s 1
 
5.3%
y 1
 
5.3%
f 1
 
5.3%
v 1
 
5.3%
m 1
 
5.3%
Decimal Number
ValueCountFrequency (%)
0 494
34.6%
2 393
27.5%
1 262
18.3%
9 78
 
5.5%
8 40
 
2.8%
7 38
 
2.7%
3 37
 
2.6%
4 33
 
2.3%
6 30
 
2.1%
5 23
 
1.6%
Other Punctuation
ValueCountFrequency (%)
: 362
39.1%
, 357
38.6%
. 207
22.4%
Uppercase Letter
ValueCountFrequency (%)
M 1
50.0%
E 1
50.0%
Space Separator
ValueCountFrequency (%)
986
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3340
62.8%
Hangul 1954
36.8%
Latin 21
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
환 345
17.7%
경 345
17.7%
부 338
17.3%
천 185
9.5%
과 163
8.3%
세 155
7.9%
종 155
7.9%
인 29
 
1.5%
립 25
 
1.3%
사 18
 
0.9%
Other values (14) 196
10.0%
Common
ValueCountFrequency (%)
986
29.5%
0 494
14.8%
2 393
 
11.8%
: 362
 
10.8%
, 357
 
10.7%
1 262
 
7.8%
. 207
 
6.2%
9 78
 
2.3%
8 40
 
1.2%
7 38
 
1.1%
Other values (4) 123
 
3.7%
Latin
ValueCountFrequency (%)
n 4
19.0%
i 3
14.3%
t 2
9.5%
r 2
9.5%
o 2
9.5%
M 1
 
4.8%
s 1
 
4.8%
y 1
 
4.8%
f 1
 
4.8%
E 1
 
4.8%
Other values (3) 3
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3361
63.2%
Hangul 1954
36.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
986
29.3%
0 494
14.7%
2 393
 
11.7%
: 362
 
10.8%
, 357
 
10.6%
1 262
 
7.8%
. 207
 
6.2%
9 78
 
2.3%
8 40
 
1.2%
7 38
 
1.1%
Other values (17) 144
 
4.3%
Hangul
ValueCountFrequency (%)
환 345
17.7%
경 345
17.7%
부 338
17.3%
천 185
9.5%
과 163
8.3%
세 155
7.9%
종 155
7.9%
인 29
 
1.5%
립 25
 
1.3%
사 18
 
0.9%
Other values (14) 196
10.0%

형태사항
Text

Distinct285
Distinct (%)77.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-12T20:12:11.369090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length33
Mean length17.054054
Min length1

Characters and Unicode

Total characters6310
Distinct characters50
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique244 ?
Unique (%)65.9%

Sample

1st row
2nd row
3rd row
4th row
5th row
ValueCountFrequency (%)
564
26.9%
p 314
15.0%
30 253
12.1%
표 136
 
6.5%
도표 105
 
5.0%
26 87
 
4.1%
챠트 83
 
4.0%
cm 57
 
2.7%
그래프 34
 
1.6%
표,챠트 14
 
0.7%
Other values (275) 451
21.5%
2023-12-12T20:12:12.059068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1768
28.0%
; 358
 
5.7%
: 356
 
5.6%
. 355
 
5.6%
p 353
 
5.6%
3 338
 
5.4%
0 325
 
5.2%
표 278
 
4.4%
2 222
 
3.5%
6 189
 
3.0%
Other values (40) 1768
28.0%

Most occurring categories

ValueCountFrequency (%)
Space Separator 1768
28.0%
Decimal Number 1710
27.1%
Other Punctuation 1214
19.2%
Other Letter 873
13.8%
Lowercase Letter 543
 
8.6%
Close Punctuation 89
 
1.4%
Open Punctuation 88
 
1.4%
Uppercase Letter 19
 
0.3%
Dash Punctuation 3
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
표 278
31.8%
도 144
16.5%
트 101
 
11.6%
챠 101
 
11.6%
그 51
 
5.8%
래 51
 
5.8%
프 51
 
5.8%
천 17
 
1.9%
연 17
 
1.9%
색 17
 
1.9%
Other values (7) 45
 
5.2%
Decimal Number
ValueCountFrequency (%)
3 338
19.8%
0 325
19.0%
2 222
13.0%
6 189
11.1%
1 140
8.2%
7 139
8.1%
9 112
 
6.5%
5 90
 
5.3%
8 85
 
5.0%
4 70
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
p 353
65.0%
c 60
 
11.0%
m 60
 
11.0%
i 43
 
7.9%
v 15
 
2.8%
x 12
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
M 6
31.6%
O 3
15.8%
R 3
15.8%
D 3
15.8%
C 3
15.8%
N 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
; 358
29.5%
: 356
29.3%
. 355
29.2%
, 145
11.9%
Close Punctuation
ValueCountFrequency (%)
] 79
88.8%
) 10
 
11.2%
Open Punctuation
ValueCountFrequency (%)
[ 78
88.6%
( 10
 
11.4%
Space Separator
ValueCountFrequency (%)
1768
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4875
77.3%
Hangul 873
 
13.8%
Latin 562
 
8.9%

Most frequent character per script

Common
ValueCountFrequency (%)
1768
36.3%
; 358
 
7.3%
: 356
 
7.3%
. 355
 
7.3%
3 338
 
6.9%
0 325
 
6.7%
2 222
 
4.6%
6 189
 
3.9%
, 145
 
3.0%
1 140
 
2.9%
Other values (11) 679
 
13.9%
Hangul
ValueCountFrequency (%)
표 278
31.8%
도 144
16.5%
트 101
 
11.6%
챠 101
 
11.6%
그 51
 
5.8%
래 51
 
5.8%
프 51
 
5.8%
천 17
 
1.9%
연 17
 
1.9%
색 17
 
1.9%
Other values (7) 45
 
5.2%
Latin
ValueCountFrequency (%)
p 353
62.8%
c 60
 
10.7%
m 60
 
10.7%
i 43
 
7.7%
v 15
 
2.7%
x 12
 
2.1%
M 6
 
1.1%
O 3
 
0.5%
R 3
 
0.5%
D 3
 
0.5%
Other values (2) 4
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5437
86.2%
Hangul 873
 
13.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1768
32.5%
; 358
 
6.6%
: 356
 
6.5%
. 355
 
6.5%
p 353
 
6.5%
3 338
 
6.2%
0 325
 
6.0%
2 222
 
4.1%
6 189
 
3.5%
, 145
 
2.7%
Other values (23) 1028
18.9%
Hangul
ValueCountFrequency (%)
표 278
31.8%
도 144
16.5%
트 101
 
11.6%
챠 101
 
11.6%
그 51
 
5.8%
래 51
 
5.8%
프 51
 
5.8%
천 17
 
1.9%
연 17
 
1.9%
색 17
 
1.9%
Other values (7) 45
 
5.2%

부출표명
Text

Distinct135
Distinct (%)36.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-12T20:12:12.342916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length46
Mean length23.281081
Min length1

Characters and Unicode

Total characters8614
Distinct characters83
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

Unique119 ?
Unique (%)32.2%

Sample

1st row
2nd row
3rd row
4th row
5th row
ValueCountFrequency (%)
of 206
15.2%
air 174
12.9%
quality 174
12.9%
report 174
12.9%
monthly 152
11.2%
statistics 47
 
3.5%
september 23
 
1.7%
in 22
 
1.6%
annual 22
 
1.6%
korea 21
 
1.6%
Other values (52) 339
25.0%
2023-12-12T20:12:13.192768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1334
15.5%
t 670
 
7.8%
o 609
 
7.1%
r 507
 
5.9%
i 466
 
5.4%
e 383
 
4.4%
l 376
 
4.4%
y 354
 
4.1%
a 321
 
3.7%
n 293
 
3.4%
Other values (73) 3301
38.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5118
59.4%
Space Separator 1334
 
15.5%
Uppercase Letter 1311
 
15.2%
Decimal Number 564
 
6.5%
Other Letter 155
 
1.8%
Other Punctuation 128
 
1.5%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 11
 
7.1%
경 11
 
7.1%
과 11
 
7.1%
환 11
 
7.1%
출 10
 
6.5%
사 10
 
6.5%
오 10
 
6.5%
염 10
 
6.5%
배 10
 
6.5%
소 10
 
6.5%
Other values (17) 51
32.9%
Lowercase Letter
ValueCountFrequency (%)
t 670
13.1%
o 609
11.9%
r 507
9.9%
i 466
9.1%
e 383
7.5%
l 376
7.3%
y 354
 
6.9%
a 321
 
6.3%
n 293
 
5.7%
u 240
 
4.7%
Other values (12) 899
17.6%
Uppercase Letter
ValueCountFrequency (%)
A 268
20.4%
R 194
14.8%
Q 174
13.3%
M 165
12.6%
S 130
9.9%
E 75
 
5.7%
T 60
 
4.6%
I 40
 
3.1%
O 34
 
2.6%
W 32
 
2.4%
Other values (9) 139
10.6%
Decimal Number
ValueCountFrequency (%)
0 168
29.8%
2 167
29.6%
1 120
21.3%
9 21
 
3.7%
8 17
 
3.0%
7 16
 
2.8%
5 15
 
2.7%
4 15
 
2.7%
3 15
 
2.7%
6 10
 
1.8%
Other Punctuation
ValueCountFrequency (%)
, 125
97.7%
. 3
 
2.3%
Space Separator
ValueCountFrequency (%)
1334
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6429
74.6%
Common 2030
 
23.6%
Hangul 155
 
1.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 670
 
10.4%
o 609
 
9.5%
r 507
 
7.9%
i 466
 
7.2%
e 383
 
6.0%
l 376
 
5.8%
y 354
 
5.5%
a 321
 
5.0%
n 293
 
4.6%
A 268
 
4.2%
Other values (31) 2182
33.9%
Hangul
ValueCountFrequency (%)
업 11
 
7.1%
경 11
 
7.1%
과 11
 
7.1%
환 11
 
7.1%
출 10
 
6.5%
사 10
 
6.5%
오 10
 
6.5%
염 10
 
6.5%
배 10
 
6.5%
소 10
 
6.5%
Other values (17) 51
32.9%
Common
ValueCountFrequency (%)
1334
65.7%
0 168
 
8.3%
2 167
 
8.2%
, 125
 
6.2%
1 120
 
5.9%
9 21
 
1.0%
8 17
 
0.8%
7 16
 
0.8%
5 15
 
0.7%
4 15
 
0.7%
Other values (5) 32
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8459
98.2%
Hangul 155
 
1.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1334
15.8%
t 670
 
7.9%
o 609
 
7.2%
r 507
 
6.0%
i 466
 
5.5%
e 383
 
4.5%
l 376
 
4.4%
y 354
 
4.2%
a 321
 
3.8%
n 293
 
3.5%
Other values (46) 3146
37.2%
Hangul
ValueCountFrequency (%)
업 11
 
7.1%
경 11
 
7.1%
과 11
 
7.1%
환 11
 
7.1%
출 10
 
6.5%
사 10
 
6.5%
오 10
 
6.5%
염 10
 
6.5%
배 10
 
6.5%
소 10
 
6.5%
Other values (17) 51
32.9%

담당기관명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct18
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
269 
국립환경연구원
 
19
국립환경과학원 대기환경과
 
13
정보화 담당관실
 
11
수도정책과
 
10
Other values (13)
48 

Length

Max length19
Median length1
Mean length2.927027
Min length1

Unique

Unique3 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
269
72.7%
국립환경연구원 19
 
5.1%
국립환경과학원 대기환경과 13
 
3.5%
정보화 담당관실 11
 
3.0%
수도정책과 10
 
2.7%
국립환경과학원 9
 
2.4%
환경부 9
 
2.4%
생활하수과 8
 
2.2%
하수도과 4
 
1.1%
배출시설연구과 산업폐기물과 4
 
1.1%
Other values (8) 14
 
3.8%

Length

2023-12-12T20:12:13.523933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
국립환경과학원 25
17.6%
국립환경연구원 19
13.4%
환경부 15
10.6%
수도정책과 14
9.9%
대기환경과 13
9.2%
정보화 11
7.7%
담당관실 11
7.7%
생활하수과 8
 
5.6%
산업폐기물과 4
 
2.8%
상하수도정책관실 4
 
2.8%
Other values (8) 18
12.7%

기타정보
Categorical

IMBALANCE 

Distinct7
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
356 
1999년 및 2000년 통계자료는 환경부 전산망의 문제로 발간하지 못함
 
8
하수도통계 용어 설명 수록
 
2
1999년 및 2000년 통계자료는 환경부 전산망의 문제로 발간하지 못하고 2001년 자료 발간
 
1
1999년 및 2001년 통계자료는 환경부 전산망의 문제로 발간하지 못함
 
1
Other values (2)
 
2

Length

Max length56
Median length1
Mean length2.3567568
Min length1

Unique

Unique4 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
356
96.2%
1999년 및 2000년 통계자료는 환경부 전산망의 문제로 발간하지 못함 8
 
2.2%
하수도통계 용어 설명 수록 2
 
0.5%
1999년 및 2000년 통계자료는 환경부 전산망의 문제로 발간하지 못하고 2001년 자료 발간 1
 
0.3%
1999년 및 2001년 통계자료는 환경부 전산망의 문제로 발간하지 못함 1
 
0.3%
2004년 오수분뇨 처리통계 수록. 1
 
0.3%
1999년 및 2000년 통계자료는 환경부 전산망의 문제로 발간하지 못함 전국폐수배출시설조사결과보고서 1
 
0.3%

Length

2023-12-12T20:12:14.418754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:12:14.728185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1999년 11
9.6%
통계자료는 11
9.6%
환경부 11
9.6%
전산망의 11
9.6%
문제로 11
9.6%
발간하지 11
9.6%
및 11
9.6%
2000년 10
8.7%
못함 10
8.7%
수록 3
 
2.6%
Other values (11) 15
13.0%

Interactions

2023-12-12T20:12:04.869804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:12:15.063044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호상위분야명보고서 번호단체명담당기관명기타정보
일련번호1.0000.6480.7360.3730.7070.165
상위분야명0.6481.0000.8050.6320.7860.550
보고서 번호0.7360.8051.0000.8930.9410.643
단체명0.3730.6320.8931.0000.0000.000
담당기관명0.7070.7860.9410.0001.0000.605
기타정보0.1650.5500.6430.0000.6051.000
2023-12-12T20:12:15.377159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
보고서 번호담당기관명상위분야명기타정보단체명
보고서 번호1.0000.5700.3600.3040.563
담당기관명0.5701.0000.3980.3180.000
상위분야명0.3600.3981.0000.2330.326
기타정보0.3040.3180.2331.0000.000
단체명0.5630.0000.3260.0001.000
2023-12-12T20:12:15.616311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호상위분야명보고서 번호단체명담당기관명기타정보
일련번호1.0000.3270.3390.1790.3590.083
상위분야명0.3271.0000.3600.3260.3980.233
보고서 번호0.3390.3601.0000.5630.5700.304
단체명0.1790.3260.5631.0000.0000.000
담당기관명0.3590.3980.5700.0001.0000.318
기타정보0.0830.2330.3040.0000.3181.000

Missing values

2023-12-12T20:12:05.075690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:12:05.309849image/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

일련번호간행물명상위분야명간행물제목보고서 번호단체명서명저자사항발행사항형태사항부출표명담당기관명기타정보
01환경통계연감상위
12대기환경월보상위
23대기환경연보상위
34수질통계상위
45상수도통계상위
56하수도통계상위
67환경통계연감 1999 (제12호)환경통계연감환경통계연감 1999 (제12호)38000-67020-26-70환경부환경통계연감 1999 (제12호) /환경부 ;기획관리실 ; 정보화담당관실 지음과천 :환경부 ,1999594 p. :표, 그래프, 사진 ;26기획관리실정보화 담당관실
78환경통계연감 2000 (제13호)환경통계연감환경통계연감 2000 (제13호)11-1480000-000084-10환경부환경통계연감 2000 (제13호) /환경부;기획관리실 정보화담당관실 지음서울 :환경부 ,2000622p. :표, 그래프, 사진 ;26기획관리실정보화 담당관실
89환경통계연감 2001 (제14호)환경통계연감환경통계연감 2001 (제14호)11-1480000-000084-10환경부환경통계연감 2001 (제14호) /환경부 ;기획관리실 정보화담당관실 지음서울 :환경부 ,2001662p. :표, 그래프, 사진 ;26기획관리실정보화 담당관실
910환경통계연감 2002 (제15호)환경통계연감환경통계연감 2002 (제15호)환경부환경통계연감 2002 (제15호) /환경부 지음과천 :환경부 ,2002.659p. :표 ;26
일련번호간행물명상위분야명간행물제목보고서 번호단체명서명저자사항발행사항형태사항부출표명담당기관명기타정보
360477대기환경월보 2020년 11월대기환경월보대기환경월보 2020년 11월11-1480083-000177-06:NIER-GP2021-030환경부기후대기정책과; 국립환경과학원; 기후대기연구부; 대기환경연구과 ; 김대곤,신혜정,신선아,임용재,박지훈,이지선,정동희,남일권,김은영,이용민,이수현세종 :환경부, 2021.124p. :도표 ;30Monthly Report of Air Quality, September 2020
361478대기환경월보 2020년 12월대기환경월보대기환경월보 2020년 12월11-1480083-000177-06:NIER-GP2021-031환경부기후대기정책과; 국립환경과학원; 기후대기연구부; 대기환경연구과 ; 김대곤,신혜정,신선아,임용재,박지훈,이지선,정동희,남일권,김은영,이용민,이수현세종 :환경부, 2021.125p. :도표 ;30Monthly Report of Air Quality, September 2020
362479환경통계연감 2020 (제33호)환경통계연감환경통계연감 2020 (제33호)환경부기후탄소정책실; 녹색전환정책관; 녹색기술개발과 지음세종 : 환경부, 2021[804]p. : 챠트;26 cm.Environmental Statistics Yearbook 2020
363480대기환경연보(2019) 2020대기환경연보대기환경연보(2019) 2020NIER-GP2020-037환경부대기미래전략과 ; 국립환경과학원 ; 기후대기연구부 ; 대기환경연구과인천 : 환경부 : 국립환경과학원, 2020.v, 374 p. : 천연색지도,천연색도표 ; 30 cmAnnual Report of Air Quality in Korea, 2019
364481(2019)하수도통계 2020 (상~하)하수도 통계(2019)하수도통계 2020 (상~하)환경부물환경정책국 ; 생활하수과 지음세종 : 환경부, 2020.3책(3149 p.) : 표,챠트 ; 26 cmSTATISTICS OF SEWERAGE
365482(2019년도)쓰레기 종량제 현황 (2020)쓰레기종량제 현황(2019년도)쓰레기 종량제 현황 (2020)환경부생활폐기물과 ; 한국환경공단 ; 자원정책통계부세종 : 환경부, 2020.744 p. : 표 ; 30 cm
366483(2019)전국 폐기물 발생 및 처리현황(2020)페기물 통계(2019)전국 폐기물 발생 및 처리현황(2020)환경부자원순환정책과 ; 한국환경공단 ; 자원정책통계부세종 : 환경부, 2020.1650 p. : 도표 ; 30
367484(2017년)수도권매립지관리공사 통계연감 : 제16호(2018)수도권 매립지 통계연감(2017년)수도권매립지관리공사 통계연감 : 제16호(2018)2018-05-022-10수도권매립지관리공사경영기획처인천 : 수도권매립지관리공사, 2018.442 p. : 삽화, 지도, 도표 ; 27 cmcm
368485(2018)수도권매립지관리공사 통계연감 2019(제17호)수도권 매립지 통계연감(2018)수도권매립지관리공사 통계연감 2019(제17호)2019-05-015-01수도권매립지관리공사경영기획처인천 : 수도권매립지관리공사, 2019.496 p. : 삽화, 지도, 도표 ; 29
369486(2019)수도권매립지관리공사 통계연감 2020(제18호)수도권 매립지 통계연감(2019)수도권매립지관리공사 통계연감 2020(제18호)2020-05-025-01수도권매립지관리공사사회가치혁신부인천 : 수도권매립지관리공사, 2020.515 p. : 지도, 표 ; 29