Overview

Dataset statistics

Number of variables28
Number of observations2631
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory578.2 KiB
Average record size in memory225.1 B

Variable types

Categorical13
Text13
DateTime1
Numeric1

Dataset

Description- 공공데이터 제공 표준 기준, 지자체에서 관리하는 생활쓰레기배출정보&lt;br/&gt;- 링크된 페이지의 데이터기준일자 상단 EXCEL버튼(초록색)을 클릭하여 데이터 다운로드 가능
Author행정안전부
URLhttps://www.data.go.kr/data/15025450/standard.do

Alerts

Dataset has 1 (< 0.1%) duplicate rowsDuplicates
배출장소유형 is highly imbalanced (69.3%)Imbalance
생활쓰레기배출시작시각 is highly imbalanced (67.5%)Imbalance
음식물쓰레기배출시작시각 is highly imbalanced (67.4%)Imbalance
재활용품배출시작시각 is highly imbalanced (63.6%)Imbalance

Reproduction

Analysis started2023-12-12 01:40:20.118083
Analysis finished2023-12-12 01:40:21.696844
Duration1.58 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

Distinct16
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
경상북도
920 
경상남도
563 
전라북도
533 
경기도
199 
서울특별시
 
77
Other values (11)
339 

Length

Max length7
Median length4
Mean length4.0277461
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상북도 920
35.0%
경상남도 563
21.4%
전라북도 533
20.3%
경기도 199
 
7.6%
서울특별시 77
 
2.9%
대구광역시 69
 
2.6%
전라남도 57
 
2.2%
울산광역시 46
 
1.7%
대전광역시 42
 
1.6%
충청북도 32
 
1.2%
Other values (6) 93
 
3.5%

Length

2023-12-12T10:40:21.774135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경상북도 920
35.0%
경상남도 563
21.4%
전라북도 533
20.3%
경기도 199
 
7.6%
서울특별시 77
 
2.9%
대구광역시 69
 
2.6%
전라남도 57
 
2.2%
울산광역시 46
 
1.7%
대전광역시 42
 
1.6%
충청북도 32
 
1.2%
Other values (6) 93
 
3.5%

시군구명
Text

Distinct179
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
2023-12-12T10:40:22.065509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length2.9882174
Min length2

Characters and Unicode

Total characters7862
Distinct characters126
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique99 ?
Unique (%)3.8%

Sample

1st row의왕시
2nd row의왕시
3rd row의왕시
4th row의왕시
5th row의왕시
ValueCountFrequency (%)
성주군 500
19.0%
고창군 500
19.0%
합천군 497
18.9%
고령군 378
14.4%
의왕시 76
 
2.9%
이천시 52
 
2.0%
유성구 34
 
1.3%
동구 33
 
1.3%
서구 29
 
1.1%
성북구 29
 
1.1%
Other values (169) 503
19.1%
2023-12-12T10:40:22.560825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
군 2072
26.4%
고 881
11.2%
천 591
 
7.5%
성 590
 
7.5%
주 535
 
6.8%
창 512
 
6.5%
합 497
 
6.3%
령 380
 
4.8%
시 296
 
3.8%
구 287
 
3.7%
Other values (116) 1221
15.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7826
99.5%
Close Punctuation 18
 
0.2%
Open Punctuation 18
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 2072
26.5%
고 881
11.3%
천 591
 
7.6%
성 590
 
7.5%
주 535
 
6.8%
창 512
 
6.5%
합 497
 
6.4%
령 380
 
4.9%
시 296
 
3.8%
구 287
 
3.7%
Other values (114) 1185
15.1%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7826
99.5%
Common 36
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 2072
26.5%
고 881
11.3%
천 591
 
7.6%
성 590
 
7.5%
주 535
 
6.8%
창 512
 
6.5%
합 497
 
6.4%
령 380
 
4.9%
시 296
 
3.8%
구 287
 
3.7%
Other values (114) 1185
15.1%
Common
ValueCountFrequency (%)
) 18
50.0%
( 18
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7826
99.5%
ASCII 36
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
군 2072
26.5%
고 881
11.3%
천 591
 
7.6%
성 590
 
7.5%
주 535
 
6.8%
창 512
 
6.5%
합 497
 
6.4%
령 380
 
4.9%
시 296
 
3.8%
구 287
 
3.7%
Other values (114) 1185
15.1%
ASCII
ValueCountFrequency (%)
) 18
50.0%
( 18
50.0%

관리구역명
Text

Distinct221
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
2023-12-12T10:40:22.865476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length2
Mean length2.6396807
Min length2

Characters and Unicode

Total characters6945
Distinct characters171
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique144 ?
Unique (%)5.5%

Sample

1st row5개권역
2nd row5개권역
3rd row5개권역
4th row5개권역
5th row5개권역
ValueCountFrequency (%)
없음 1575
57.9%
합천읍 87
 
3.2%
5개권역 74
 
2.7%
1권역 56
 
2.1%
2권역 50
 
1.8%
대병면 48
 
1.8%
삼가면 35
 
1.3%
3권역 31
 
1.1%
율곡면 28
 
1.0%
야로면 28
 
1.0%
Other values (227) 706
26.0%
2023-12-12T10:40:23.415764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
음 1584
22.8%
없 1575
22.7%
면 487
 
7.0%
역 375
 
5.4%
권 288
 
4.1%
천 120
 
1.7%
1 117
 
1.7%
읍 110
 
1.6%
가 94
 
1.4%
87
 
1.3%
Other values (161) 2108
30.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6392
92.0%
Decimal Number 410
 
5.9%
Space Separator 87
 
1.3%
Other Punctuation 31
 
0.4%
Math Symbol 11
 
0.2%
Letter Number 10
 
0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 1584
24.8%
없 1575
24.6%
면 487
 
7.6%
역 375
 
5.9%
권 288
 
4.5%
천 120
 
1.9%
읍 110
 
1.7%
가 94
 
1.5%
구 87
 
1.4%
합 87
 
1.4%
Other values (141) 1585
24.8%
Decimal Number
ValueCountFrequency (%)
1 117
28.5%
5 87
21.2%
2 83
20.2%
3 54
13.2%
4 38
 
9.3%
6 8
 
2.0%
7 7
 
1.7%
9 6
 
1.5%
8 5
 
1.2%
0 5
 
1.2%
Other Punctuation
ValueCountFrequency (%)
, 28
90.3%
· 2
 
6.5%
. 1
 
3.2%
Math Symbol
ValueCountFrequency (%)
+ 7
63.6%
~ 4
36.4%
Letter Number
ValueCountFrequency (%)
Ⅱ 5
50.0%
Ⅰ 5
50.0%
Space Separator
ValueCountFrequency (%)
87
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6392
92.0%
Common 543
 
7.8%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 1584
24.8%
없 1575
24.6%
면 487
 
7.6%
역 375
 
5.9%
권 288
 
4.5%
천 120
 
1.9%
읍 110
 
1.7%
가 94
 
1.5%
구 87
 
1.4%
합 87
 
1.4%
Other values (141) 1585
24.8%
Common
ValueCountFrequency (%)
1 117
21.5%
87
16.0%
5 87
16.0%
2 83
15.3%
3 54
9.9%
4 38
 
7.0%
, 28
 
5.2%
6 8
 
1.5%
7 7
 
1.3%
+ 7
 
1.3%
Other values (8) 27
 
5.0%
Latin
ValueCountFrequency (%)
Ⅱ 5
50.0%
Ⅰ 5
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6391
92.0%
ASCII 541
 
7.8%
Number Forms 10
 
0.1%
None 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
음 1584
24.8%
없 1575
24.6%
면 487
 
7.6%
역 375
 
5.9%
권 288
 
4.5%
천 120
 
1.9%
읍 110
 
1.7%
가 94
 
1.5%
구 87
 
1.4%
합 87
 
1.4%
Other values (140) 1584
24.8%
ASCII
ValueCountFrequency (%)
1 117
21.6%
87
16.1%
5 87
16.1%
2 83
15.3%
3 54
10.0%
4 38
 
7.0%
, 28
 
5.2%
6 8
 
1.5%
7 7
 
1.3%
+ 7
 
1.3%
Other values (7) 25
 
4.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 5
50.0%
Ⅰ 5
50.0%
None
ValueCountFrequency (%)
· 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

관리구역대상지역명
Text

Distinct971
Distinct (%)36.9%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
2023-12-12T10:40:23.656674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length115
Median length112
Mean length5.809198
Min length2

Characters and Unicode

Total characters15284
Distinct characters373
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

Unique890 ?
Unique (%)33.8%

Sample

1st row고천동+오전동+부곡동+내손1동+내손2동+청계동
2nd row고천동+오전동+부곡동+내손1동+내손2동+청계동
3rd row고천동+오전동+부곡동+내손1동+내손2동+청계동
4th row고천동+오전동+부곡동+내손1동+내손2동+청계동
5th row고천동+오전동+부곡동+내손1동+내손2동+청계동
ValueCountFrequency (%)
없음 636
 
20.9%
고창읍 121
 
4.0%
대가야읍 87
 
2.9%
고천동+오전동+부곡동+내손1동+내손2동+청계동 74
 
2.4%
쌍림면 71
 
2.3%
흥덕면 55
 
1.8%
운수면 45
 
1.5%
대산면 44
 
1.4%
성산면 43
 
1.4%
앞 41
 
1.3%
Other values (1161) 1823
60.0%
2023-12-12T10:40:24.210841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 1525
 
10.0%
+ 1074
 
7.0%
면 953
 
6.2%
음 685
 
4.5%
없 637
 
4.2%
410
 
2.7%
1 309
 
2.0%
2 308
 
2.0%
산 293
 
1.9%
읍 287
 
1.9%
Other values (363) 8803
57.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12433
81.3%
Math Symbol 1090
 
7.1%
Decimal Number 873
 
5.7%
Space Separator 410
 
2.7%
Other Punctuation 260
 
1.7%
Close Punctuation 103
 
0.7%
Open Punctuation 103
 
0.7%
Uppercase Letter 10
 
0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1525
 
12.3%
면 953
 
7.7%
음 685
 
5.5%
없 637
 
5.1%
산 293
 
2.4%
읍 287
 
2.3%
마 246
 
2.0%
내 244
 
2.0%
고 235
 
1.9%
을 229
 
1.8%
Other values (336) 7099
57.1%
Decimal Number
ValueCountFrequency (%)
1 309
35.4%
2 308
35.3%
3 101
 
11.6%
4 68
 
7.8%
5 34
 
3.9%
6 19
 
2.2%
7 11
 
1.3%
8 8
 
0.9%
9 8
 
0.9%
0 7
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
G 3
30.0%
T 2
20.0%
L 2
20.0%
V 1
 
10.0%
M 1
 
10.0%
S 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 225
86.5%
/ 24
 
9.2%
. 11
 
4.2%
Math Symbol
ValueCountFrequency (%)
+ 1074
98.5%
~ 16
 
1.5%
Close Punctuation
ValueCountFrequency (%)
) 99
96.1%
] 4
 
3.9%
Open Punctuation
ValueCountFrequency (%)
( 99
96.1%
[ 4
 
3.9%
Space Separator
ValueCountFrequency (%)
410
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12433
81.3%
Common 2841
 
18.6%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1525
 
12.3%
면 953
 
7.7%
음 685
 
5.5%
없 637
 
5.1%
산 293
 
2.4%
읍 287
 
2.3%
마 246
 
2.0%
내 244
 
2.0%
고 235
 
1.9%
을 229
 
1.8%
Other values (336) 7099
57.1%
Common
ValueCountFrequency (%)
+ 1074
37.8%
410
 
14.4%
1 309
 
10.9%
2 308
 
10.8%
, 225
 
7.9%
3 101
 
3.6%
) 99
 
3.5%
( 99
 
3.5%
4 68
 
2.4%
5 34
 
1.2%
Other values (11) 114
 
4.0%
Latin
ValueCountFrequency (%)
G 3
30.0%
T 2
20.0%
L 2
20.0%
V 1
 
10.0%
M 1
 
10.0%
S 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12433
81.3%
ASCII 2851
 
18.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 1525
 
12.3%
면 953
 
7.7%
음 685
 
5.5%
없 637
 
5.1%
산 293
 
2.4%
읍 287
 
2.3%
마 246
 
2.0%
내 244
 
2.0%
고 235
 
1.9%
을 229
 
1.8%
Other values (336) 7099
57.1%
ASCII
ValueCountFrequency (%)
+ 1074
37.7%
410
 
14.4%
1 309
 
10.8%
2 308
 
10.8%
, 225
 
7.9%
3 101
 
3.5%
) 99
 
3.5%
( 99
 
3.5%
4 68
 
2.4%
5 34
 
1.2%
Other values (17) 124
 
4.3%

배출장소유형
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
거점수거
2121 
문전수거
479 
거점수거+문전수거
 
14
기타
 
8
문전수거+거점수거
 
8

Length

Max length9
Median length4
Mean length4.0376283
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
거점수거 2121
80.6%
문전수거 479
 
18.2%
거점수거+문전수거 14
 
0.5%
기타 8
 
0.3%
문전수거+거점수거 8
 
0.3%
거점수거/문전수거 1
 
< 0.1%

Length

2023-12-12T10:40:24.371472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:40:24.504697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
거점수거 2121
80.6%
문전수거 479
 
18.2%
거점수거+문전수거 14
 
0.5%
기타 8
 
0.3%
문전수거+거점수거 8
 
0.3%
거점수거/문전수거 1
 
< 0.1%

배출장소
Text

Distinct2091
Distinct (%)79.5%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
2023-12-12T10:40:24.834210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length120
Median length37
Mean length13.922083
Min length2

Characters and Unicode

Total characters36629
Distinct characters566
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2039 ?
Unique (%)77.5%

Sample

1st row지구촌어린이집, 만주빌딩, 홍명상가
2nd row신광연립, 메트로빌라 101동, 한광샤인빌리지
3rd row의왕경찰서, 왕곡동 146, 대안사 사무실
4th row건강누리의왕시립노인요양원,
5th row왕곡동447-1, 고천동 주민센터, 왕곡초등학교(행정실)
ValueCountFrequency (%)
경상남도 497
 
6.1%
합천군 497
 
6.1%
앞 375
 
4.6%
집앞 289
 
3.5%
마을회관 238
 
2.9%
성주읍 144
 
1.8%
고창읍 120
 
1.5%
마을회관앞 92
 
1.1%
마을 91
 
1.1%
옆 70
 
0.9%
Other values (3172) 5776
70.5%
2023-12-12T10:40:25.597664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5562
 
15.2%
리 1339
 
3.7%
앞 1135
 
3.1%
마 850
 
2.3%
면 820
 
2.2%
1 808
 
2.2%
을 805
 
2.2%
천 695
 
1.9%
2 657
 
1.8%
도 650
 
1.8%
Other values (556) 23308
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25982
70.9%
Space Separator 5562
 
15.2%
Decimal Number 3309
 
9.0%
Open Punctuation 505
 
1.4%
Close Punctuation 502
 
1.4%
Dash Punctuation 378
 
1.0%
Other Punctuation 307
 
0.8%
Uppercase Letter 40
 
0.1%
Math Symbol 38
 
0.1%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 1339
 
5.2%
앞 1135
 
4.4%
마 850
 
3.3%
면 820
 
3.2%
을 805
 
3.1%
천 695
 
2.7%
도 650
 
2.5%
상 629
 
2.4%
경 626
 
2.4%
관 597
 
2.3%
Other values (512) 17836
68.6%
Uppercase Letter
ValueCountFrequency (%)
K 6
15.0%
G 5
12.5%
T 4
10.0%
I 3
7.5%
C 3
7.5%
P 3
7.5%
L 3
7.5%
S 2
 
5.0%
A 2
 
5.0%
H 2
 
5.0%
Other values (6) 7
17.5%
Decimal Number
ValueCountFrequency (%)
1 808
24.4%
2 657
19.9%
3 334
10.1%
4 284
 
8.6%
5 267
 
8.1%
6 209
 
6.3%
7 205
 
6.2%
8 203
 
6.1%
0 184
 
5.6%
9 158
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 270
87.9%
/ 27
 
8.8%
· 3
 
1.0%
? 2
 
0.7%
: 2
 
0.7%
. 2
 
0.7%
※ 1
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
s 2
33.3%
o 1
16.7%
i 1
16.7%
l 1
16.7%
e 1
16.7%
Math Symbol
ValueCountFrequency (%)
+ 36
94.7%
~ 2
 
5.3%
Space Separator
ValueCountFrequency (%)
5562
100.0%
Open Punctuation
ValueCountFrequency (%)
( 505
100.0%
Close Punctuation
ValueCountFrequency (%)
) 502
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 378
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25982
70.9%
Common 10601
28.9%
Latin 46
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 1339
 
5.2%
앞 1135
 
4.4%
마 850
 
3.3%
면 820
 
3.2%
을 805
 
3.1%
천 695
 
2.7%
도 650
 
2.5%
상 629
 
2.4%
경 626
 
2.4%
관 597
 
2.3%
Other values (512) 17836
68.6%
Common
ValueCountFrequency (%)
5562
52.5%
1 808
 
7.6%
2 657
 
6.2%
( 505
 
4.8%
) 502
 
4.7%
- 378
 
3.6%
3 334
 
3.2%
4 284
 
2.7%
, 270
 
2.5%
5 267
 
2.5%
Other values (13) 1034
 
9.8%
Latin
ValueCountFrequency (%)
K 6
13.0%
G 5
 
10.9%
T 4
 
8.7%
I 3
 
6.5%
C 3
 
6.5%
P 3
 
6.5%
L 3
 
6.5%
S 2
 
4.3%
A 2
 
4.3%
s 2
 
4.3%
Other values (11) 13
28.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25982
70.9%
ASCII 10643
29.1%
None 3
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5562
52.3%
1 808
 
7.6%
2 657
 
6.2%
( 505
 
4.7%
) 502
 
4.7%
- 378
 
3.6%
3 334
 
3.1%
4 284
 
2.7%
, 270
 
2.5%
5 267
 
2.5%
Other values (32) 1076
 
10.1%
Hangul
ValueCountFrequency (%)
리 1339
 
5.2%
앞 1135
 
4.4%
마 850
 
3.3%
면 820
 
3.2%
을 805
 
3.1%
천 695
 
2.7%
도 650
 
2.5%
상 629
 
2.4%
경 626
 
2.4%
관 597
 
2.3%
Other values (512) 17836
68.6%
None
ValueCountFrequency (%)
· 3
100.0%
Punctuation
ValueCountFrequency (%)
※ 1
100.0%

생활쓰레기배출방법
Text

Distinct91
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
2023-12-12T10:40:25.799313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length125
Median length51
Mean length19.035728
Min length2

Characters and Unicode

Total characters50083
Distinct characters163
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)1.8%

Sample

1st row규격봉투에 넣어 지정된 요일에 배출
2nd row규격봉투에 넣어 지정된 요일에 배출
3rd row규격봉투에 넣어 지정된 요일에 배출
4th row규격봉투에 넣어 지정된 요일에 배출
5th row규격봉투에 넣어 지정된 요일에 배출
ValueCountFrequency (%)
배출 2010
16.3%
지정된 1736
14.1%
넣어 1341
10.9%
종량제봉투 1093
8.9%
요일에 838
 
6.8%
규격봉투에 785
 
6.4%
종량제 560
 
4.5%
사용하여 527
 
4.3%
봉투에 513
 
4.2%
쓰레기 512
 
4.1%
Other values (153) 2428
19.7%
2023-12-12T10:40:26.229741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9713
19.4%
에 3260
 
6.5%
투 2632
 
5.3%
봉 2631
 
5.3%
정 2326
 
4.6%
지 2322
 
4.6%
출 2098
 
4.2%
배 2096
 
4.2%
제 1898
 
3.8%
량 1848
 
3.7%
Other values (153) 19259
38.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 39491
78.9%
Space Separator 9713
 
19.4%
Other Punctuation 607
 
1.2%
Decimal Number 94
 
0.2%
Close Punctuation 67
 
0.1%
Open Punctuation 67
 
0.1%
Math Symbol 33
 
0.1%
Dash Punctuation 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
에 3260
 
8.3%
투 2632
 
6.7%
봉 2631
 
6.7%
정 2326
 
5.9%
지 2322
 
5.9%
출 2098
 
5.3%
배 2096
 
5.3%
제 1898
 
4.8%
량 1848
 
4.7%
종 1848
 
4.7%
Other values (135) 16532
41.9%
Other Punctuation
ValueCountFrequency (%)
, 567
93.4%
※ 19
 
3.1%
: 19
 
3.1%
/ 1
 
0.2%
· 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
9 34
36.2%
0 24
25.5%
5 13
 
13.8%
1 12
 
12.8%
3 11
 
11.7%
Close Punctuation
ValueCountFrequency (%)
) 63
94.0%
] 4
 
6.0%
Open Punctuation
ValueCountFrequency (%)
( 63
94.0%
[ 4
 
6.0%
Math Symbol
ValueCountFrequency (%)
~ 21
63.6%
+ 12
36.4%
Space Separator
ValueCountFrequency (%)
9713
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 39491
78.9%
Common 10592
 
21.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
에 3260
 
8.3%
투 2632
 
6.7%
봉 2631
 
6.7%
정 2326
 
5.9%
지 2322
 
5.9%
출 2098
 
5.3%
배 2096
 
5.3%
제 1898
 
4.8%
량 1848
 
4.7%
종 1848
 
4.7%
Other values (135) 16532
41.9%
Common
ValueCountFrequency (%)
9713
91.7%
, 567
 
5.4%
) 63
 
0.6%
( 63
 
0.6%
9 34
 
0.3%
0 24
 
0.2%
~ 21
 
0.2%
※ 19
 
0.2%
: 19
 
0.2%
5 13
 
0.1%
Other values (8) 56
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 39491
78.9%
ASCII 10572
 
21.1%
Punctuation 19
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9713
91.9%
, 567
 
5.4%
) 63
 
0.6%
( 63
 
0.6%
9 34
 
0.3%
0 24
 
0.2%
~ 21
 
0.2%
: 19
 
0.2%
5 13
 
0.1%
+ 12
 
0.1%
Other values (6) 43
 
0.4%
Hangul
ValueCountFrequency (%)
에 3260
 
8.3%
투 2632
 
6.7%
봉 2631
 
6.7%
정 2326
 
5.9%
지 2322
 
5.9%
출 2098
 
5.3%
배 2096
 
5.3%
제 1898
 
4.8%
량 1848
 
4.7%
종 1848
 
4.7%
Other values (135) 16532
41.9%
Punctuation
ValueCountFrequency (%)
※ 19
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

음식물쓰레기배출방법
Text

Distinct163
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
2023-12-12T10:40:26.576424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length188
Median length100
Mean length24.476245
Min length2

Characters and Unicode

Total characters64397
Distinct characters200
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)3.7%

Sample

1st row물기를 최대한 줄인 음식물만 전용봉투에 담아 배출
2nd row물기를 최대한 줄인 음식물만 전용봉투에 담아 배출
3rd row물기를 최대한 줄인 음식물만 전용봉투에 담아 배출
4th row물기를 최대한 줄인 음식물만 전용봉투에 담아 배출
5th row물기를 최대한 줄인 음식물만 전용봉투에 담아 배출
ValueCountFrequency (%)
배출 1999
 
12.7%
물기를 1344
 
8.5%
최대한 1313
 
8.3%
종량제봉투 1050
 
6.7%
음식물만 740
 
4.7%
줄여 693
 
4.4%
후 678
 
4.3%
넣어 666
 
4.2%
납부필증 620
 
3.9%
전용봉투에 610
 
3.9%
Other values (257) 6053
38.4%
2023-12-12T10:40:27.085033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13140
20.4%
용 3031
 
4.7%
물 2836
 
4.4%
기 2331
 
3.6%
제 2220
 
3.4%
출 2078
 
3.2%
배 2078
 
3.2%
한 1830
 
2.8%
봉 1829
 
2.8%
투 1828
 
2.8%
Other values (190) 31196
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 50380
78.2%
Space Separator 13141
 
20.4%
Other Punctuation 599
 
0.9%
Uppercase Letter 132
 
0.2%
Close Punctuation 49
 
0.1%
Open Punctuation 41
 
0.1%
Decimal Number 25
 
< 0.1%
Math Symbol 22
 
< 0.1%
Dash Punctuation 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 3031
 
6.0%
물 2836
 
5.6%
기 2331
 
4.6%
제 2220
 
4.4%
출 2078
 
4.1%
배 2078
 
4.1%
한 1830
 
3.6%
봉 1829
 
3.6%
투 1828
 
3.6%
량 1700
 
3.4%
Other values (170) 28619
56.8%
Uppercase Letter
ValueCountFrequency (%)
D 33
25.0%
I 33
25.0%
R 33
25.0%
F 32
24.2%
E 1
 
0.8%
Decimal Number
ValueCountFrequency (%)
2 9
36.0%
1 6
24.0%
4 4
16.0%
0 3
 
12.0%
3 3
 
12.0%
Other Punctuation
ValueCountFrequency (%)
, 556
92.8%
: 23
 
3.8%
※ 19
 
3.2%
/ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
13140
> 99.9%
　 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Math Symbol
ValueCountFrequency (%)
~ 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 50380
78.2%
Common 13885
 
21.6%
Latin 132
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 3031
 
6.0%
물 2836
 
5.6%
기 2331
 
4.6%
제 2220
 
4.4%
출 2078
 
4.1%
배 2078
 
4.1%
한 1830
 
3.6%
봉 1829
 
3.6%
투 1828
 
3.6%
량 1700
 
3.4%
Other values (170) 28619
56.8%
Common
ValueCountFrequency (%)
13140
94.6%
, 556
 
4.0%
) 49
 
0.4%
( 41
 
0.3%
: 23
 
0.2%
~ 22
 
0.2%
※ 19
 
0.1%
2 9
 
0.1%
- 8
 
0.1%
1 6
 
< 0.1%
Other values (5) 12
 
0.1%
Latin
ValueCountFrequency (%)
D 33
25.0%
I 33
25.0%
R 33
25.0%
F 32
24.2%
E 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 50380
78.2%
ASCII 13997
 
21.7%
Punctuation 19
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13140
93.9%
, 556
 
4.0%
) 49
 
0.4%
( 41
 
0.3%
D 33
 
0.2%
I 33
 
0.2%
R 33
 
0.2%
F 32
 
0.2%
: 23
 
0.2%
~ 22
 
0.2%
Other values (8) 35
 
0.3%
Hangul
ValueCountFrequency (%)
용 3031
 
6.0%
물 2836
 
5.6%
기 2331
 
4.6%
제 2220
 
4.4%
출 2078
 
4.1%
배 2078
 
4.1%
한 1830
 
3.6%
봉 1829
 
3.6%
투 1828
 
3.6%
량 1700
 
3.4%
Other values (170) 28619
56.8%
Punctuation
ValueCountFrequency (%)
※ 19
100.0%
None
ValueCountFrequency (%)
　 1
100.0%

재활용품배출방법
Text

Distinct142
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
2023-12-12T10:40:27.453391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length149
Median length70
Mean length26.603573
Min length2

Characters and Unicode

Total characters69994
Distinct characters183
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

Unique76 ?
Unique (%)2.9%

Sample

1st row투명한 비닐 혹은 마대에 담거나 끈으로 묶어서 지정된 요일에 배출
2nd row투명한 비닐 혹은 마대에 담거나 끈으로 묶어서 지정된 요일에 배출
3rd row투명한 비닐 혹은 마대에 담거나 끈으로 묶어서 지정된 요일에 배출
4th row투명한 비닐 혹은 마대에 담거나 끈으로 묶어서 지정된 요일에 배출
5th row투명한 비닐 혹은 마대에 담거나 끈으로 묶어서 지정된 요일에 배출
ValueCountFrequency (%)
배출 2008
 
11.8%
투명한 1428
 
8.4%
지정된 1366
 
8.0%
담아 1004
 
5.9%
비닐봉투에 825
 
4.8%
봉투 551
 
3.2%
또는 546
 
3.2%
및 542
 
3.2%
재활용품 536
 
3.1%
사용하여 512
 
3.0%
Other values (222) 7758
45.4%
2023-12-12T10:40:28.103972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14456
20.7%
투 4851
 
6.9%
에 2876
 
4.1%
출 2516
 
3.6%
배 2514
 
3.6%
명 2457
 
3.5%
봉 2434
 
3.5%
지 1957
 
2.8%
정 1956
 
2.8%
한 1511
 
2.2%
Other values (173) 32466
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 54742
78.2%
Space Separator 14456
 
20.7%
Other Punctuation 636
 
0.9%
Close Punctuation 66
 
0.1%
Open Punctuation 60
 
0.1%
Math Symbol 25
 
< 0.1%
Decimal Number 6
 
< 0.1%
Uppercase Letter 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
투 4851
 
8.9%
에 2876
 
5.3%
출 2516
 
4.6%
배 2514
 
4.6%
명 2457
 
4.5%
봉 2434
 
4.4%
지 1957
 
3.6%
정 1956
 
3.6%
한 1511
 
2.8%
장 1402
 
2.6%
Other values (159) 30268
55.3%
Other Punctuation
ValueCountFrequency (%)
, 596
93.7%
※ 19
 
3.0%
: 19
 
3.0%
/ 2
 
0.3%
Decimal Number
ValueCountFrequency (%)
2 2
33.3%
3 2
33.3%
1 2
33.3%
Math Symbol
ValueCountFrequency (%)
~ 19
76.0%
+ 6
 
24.0%
Space Separator
ValueCountFrequency (%)
14456
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%
Uppercase Letter
ValueCountFrequency (%)
P 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 54742
78.2%
Common 15250
 
21.8%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
투 4851
 
8.9%
에 2876
 
5.3%
출 2516
 
4.6%
배 2514
 
4.6%
명 2457
 
4.5%
봉 2434
 
4.4%
지 1957
 
3.6%
정 1956
 
3.6%
한 1511
 
2.8%
장 1402
 
2.6%
Other values (159) 30268
55.3%
Common
ValueCountFrequency (%)
14456
94.8%
, 596
 
3.9%
) 66
 
0.4%
( 60
 
0.4%
※ 19
 
0.1%
~ 19
 
0.1%
: 19
 
0.1%
+ 6
 
< 0.1%
2 2
 
< 0.1%
3 2
 
< 0.1%
Other values (3) 5
 
< 0.1%
Latin
ValueCountFrequency (%)
P 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 54742
78.2%
ASCII 15233
 
21.8%
Punctuation 19
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14456
94.9%
, 596
 
3.9%
) 66
 
0.4%
( 60
 
0.4%
~ 19
 
0.1%
: 19
 
0.1%
+ 6
 
< 0.1%
P 2
 
< 0.1%
2 2
 
< 0.1%
3 2
 
< 0.1%
Other values (3) 5
 
< 0.1%
Hangul
ValueCountFrequency (%)
투 4851
 
8.9%
에 2876
 
5.3%
출 2516
 
4.6%
배 2514
 
4.6%
명 2457
 
4.5%
봉 2434
 
4.4%
지 1957
 
3.6%
정 1956
 
3.6%
한 1511
 
2.8%
장 1402
 
2.6%
Other values (159) 30268
55.3%
Punctuation
ValueCountFrequency (%)
※ 19
100.0%

일시적다량폐기물배출방법
Text

Distinct181
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
2023-12-12T10:40:28.393193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length60
Mean length28.752946
Min length1

Characters and Unicode

Total characters75649
Distinct characters238
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)3.7%

Sample

1st row청소위생과에 연락 후 배출시간, 방법 안내
2nd row청소위생과에 연락 후 배출시간, 방법 안내
3rd row청소위생과에 연락 후 배출시간, 방법 안내
4th row청소위생과에 연락 후 배출시간, 방법 안내
5th row청소위생과에 연락 후 배출시간, 방법 안내
ValueCountFrequency (%)
배출 1714
 
9.4%
후 1273
 
7.0%
지정된 608
 
3.3%
장소에 595
 
3.3%
신고 556
 
3.0%
종량제봉투 543
 
3.0%
반입 531
 
2.9%
발급후 521
 
2.8%
읍면사무소에서 509
 
2.8%
담아 508
 
2.8%
Other values (375) 10945
59.8%
2023-12-12T10:40:28.834614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15673
 
20.7%
에 3001
 
4.0%
출 2506
 
3.3%
배 2504
 
3.3%
수 2437
 
3.2%
후 1813
 
2.4%
소 1792
 
2.4%
하 1550
 
2.0%
장 1223
 
1.6%
량 1218
 
1.6%
Other values (228) 41932
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 58667
77.6%
Space Separator 15674
 
20.7%
Close Punctuation 472
 
0.6%
Open Punctuation 472
 
0.6%
Other Punctuation 229
 
0.3%
Decimal Number 95
 
0.1%
Dash Punctuation 15
 
< 0.1%
Uppercase Letter 11
 
< 0.1%
Letter Number 10
 
< 0.1%
Other Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
에 3001
 
5.1%
출 2506
 
4.3%
배 2504
 
4.3%
수 2437
 
4.2%
후 1813
 
3.1%
소 1792
 
3.1%
하 1550
 
2.6%
장 1223
 
2.1%
량 1218
 
2.1%
면 1126
 
1.9%
Other values (202) 39497
67.3%
Decimal Number
ValueCountFrequency (%)
5 24
25.3%
3 12
12.6%
9 11
11.6%
6 10
10.5%
8 9
 
9.5%
1 8
 
8.4%
0 8
 
8.4%
2 5
 
5.3%
4 4
 
4.2%
7 4
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 119
52.0%
· 74
32.3%
: 34
 
14.8%
/ 2
 
0.9%
Space Separator
ValueCountFrequency (%)
15673
> 99.9%
　 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 468
99.2%
] 4
 
0.8%
Open Punctuation
ValueCountFrequency (%)
( 468
99.2%
[ 4
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
I 10
90.9%
L 1
 
9.1%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 10
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
t 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 58670
77.6%
Common 16957
 
22.4%
Latin 22
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
에 3001
 
5.1%
출 2506
 
4.3%
배 2504
 
4.3%
수 2437
 
4.2%
후 1813
 
3.1%
소 1792
 
3.1%
하 1550
 
2.6%
장 1223
 
2.1%
량 1218
 
2.1%
면 1126
 
1.9%
Other values (203) 39500
67.3%
Common
ValueCountFrequency (%)
15673
92.4%
) 468
 
2.8%
( 468
 
2.8%
, 119
 
0.7%
· 74
 
0.4%
: 34
 
0.2%
5 24
 
0.1%
- 15
 
0.1%
3 12
 
0.1%
9 11
 
0.1%
Other values (11) 59
 
0.3%
Latin
ValueCountFrequency (%)
I 10
45.5%
Ⅱ 10
45.5%
L 1
 
4.5%
t 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 58667
77.6%
ASCII 16894
 
22.3%
None 78
 
0.1%
Number Forms 10
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15673
92.8%
) 468
 
2.8%
( 468
 
2.8%
, 119
 
0.7%
: 34
 
0.2%
5 24
 
0.1%
- 15
 
0.1%
3 12
 
0.1%
9 11
 
0.1%
6 10
 
0.1%
Other values (12) 60
 
0.4%
Hangul
ValueCountFrequency (%)
에 3001
 
5.1%
출 2506
 
4.3%
배 2504
 
4.3%
수 2437
 
4.2%
후 1813
 
3.1%
소 1792
 
3.1%
하 1550
 
2.6%
장 1223
 
2.1%
량 1218
 
2.1%
면 1126
 
1.9%
Other values (202) 39497
67.3%
None
ValueCountFrequency (%)
· 74
94.9%
㈜ 3
 
3.8%
　 1
 
1.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 10
100.0%

일시적다량폐기물배출장소
Text

Distinct637
Distinct (%)24.2%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
2023-12-12T10:40:29.218804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length38
Mean length11.949069
Min length1

Characters and Unicode

Total characters31438
Distinct characters296
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique561 ?
Unique (%)21.3%

Sample

1st row5톤 미만은 생활폐기물 배출로 방문수거함.
2nd row5톤 미만은 생활폐기물 배출로 방문수거함.
3rd row5톤 미만은 생활폐기물 배출로 방문수거함.
4th row5톤 미만은 생활폐기물 배출로 방문수거함.
5th row5톤 미만은 생활폐기물 배출로 방문수거함.
ValueCountFrequency (%)
배출장소 541
 
6.8%
문전수거 504
 
6.3%
동일 502
 
6.3%
거점 501
 
6.3%
사용 500
 
6.3%
경상남도 497
 
6.3%
합천군 497
 
6.3%
배출 464
 
5.8%
후 439
 
5.5%
문의 436
 
5.5%
Other values (874) 3060
38.5%
2023-12-12T10:40:30.113685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5310
 
16.9%
거 1122
 
3.6%
문 1117
 
3.6%
배 1116
 
3.5%
출 1114
 
3.5%
경 982
 
3.1%
군 925
 
2.9%
장 771
 
2.5%
소 673
 
2.1%
수 620
 
2.0%
Other values (286) 17688
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23355
74.3%
Space Separator 5310
 
16.9%
Decimal Number 1386
 
4.4%
Open Punctuation 519
 
1.7%
Close Punctuation 519
 
1.7%
Dash Punctuation 210
 
0.7%
Other Punctuation 119
 
0.4%
Math Symbol 17
 
0.1%
Other Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 1122
 
4.8%
문 1117
 
4.8%
배 1116
 
4.8%
출 1114
 
4.8%
경 982
 
4.2%
군 925
 
4.0%
장 771
 
3.3%
소 673
 
2.9%
수 620
 
2.7%
천 619
 
2.7%
Other values (263) 14296
61.2%
Decimal Number
ValueCountFrequency (%)
1 234
16.9%
2 211
15.2%
5 188
13.6%
3 131
9.5%
4 121
8.7%
0 111
8.0%
8 105
7.6%
6 103
7.4%
7 99
7.1%
9 83
 
6.0%
Other Punctuation
ValueCountFrequency (%)
. 76
63.9%
, 21
 
17.6%
: 19
 
16.0%
· 2
 
1.7%
/ 1
 
0.8%
Open Punctuation
ValueCountFrequency (%)
( 515
99.2%
[ 4
 
0.8%
Close Punctuation
ValueCountFrequency (%)
) 515
99.2%
] 4
 
0.8%
Space Separator
ValueCountFrequency (%)
5310
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 210
100.0%
Math Symbol
ValueCountFrequency (%)
+ 17
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23358
74.3%
Common 8080
 
25.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 1122
 
4.8%
문 1117
 
4.8%
배 1116
 
4.8%
출 1114
 
4.8%
경 982
 
4.2%
군 925
 
4.0%
장 771
 
3.3%
소 673
 
2.9%
수 620
 
2.7%
천 619
 
2.7%
Other values (264) 14299
61.2%
Common
ValueCountFrequency (%)
5310
65.7%
( 515
 
6.4%
) 515
 
6.4%
1 234
 
2.9%
2 211
 
2.6%
- 210
 
2.6%
5 188
 
2.3%
3 131
 
1.6%
4 121
 
1.5%
0 111
 
1.4%
Other values (12) 534
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23355
74.3%
ASCII 8078
 
25.7%
None 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5310
65.7%
( 515
 
6.4%
) 515
 
6.4%
1 234
 
2.9%
2 211
 
2.6%
- 210
 
2.6%
5 188
 
2.3%
3 131
 
1.6%
4 121
 
1.5%
0 111
 
1.4%
Other values (11) 532
 
6.6%
Hangul
ValueCountFrequency (%)
거 1122
 
4.8%
문 1117
 
4.8%
배 1116
 
4.8%
출 1114
 
4.8%
경 982
 
4.2%
군 925
 
4.0%
장 771
 
3.3%
소 673
 
2.9%
수 620
 
2.7%
천 619
 
2.7%
Other values (263) 14296
61.2%
None
ValueCountFrequency (%)
㈜ 3
60.0%
· 2
40.0%

생활쓰레기배출요일
Categorical

Distinct49
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
일+월+수+목
501 
월+화+수+목+금
398 
월+수+금+일
378 
월+화+수+목+금+토
186 
일+월+화+수+목+금
183 
Other values (44)
985 

Length

Max length13
Median length11
Mean length6.9095401
Min length1

Unique

Unique11 ?
Unique (%)0.4%

Sample

1st row월+수+금
2nd row월+수+금
3rd row월+수+금
4th row월+수+금
5th row월+수+금

Common Values

ValueCountFrequency (%)
일+월+수+목 501
19.0%
월+화+수+목+금 398
15.1%
월+수+금+일 378
14.4%
월+화+수+목+금+토 186
 
7.1%
일+월+화+수+목+금 183
 
7.0%
월+수+금 125
 
4.8%
화 84
 
3.2%
월+화+목+금+토 74
 
2.8%
월+화+목+금 66
 
2.5%
월+금 65
 
2.5%
Other values (39) 571
21.7%

Length

2023-12-12T10:40:30.312485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일+월+수+목 501
19.0%
월+화+수+목+금 398
15.1%
월+수+금+일 378
14.4%
월+화+수+목+금+토 186
 
7.1%
일+월+화+수+목+금 183
 
7.0%
월+수+금 125
 
4.8%
화 84
 
3.2%
월+화+목+금+토 74
 
2.8%
월+화+목+금 66
 
2.5%
월+금 65
 
2.5%
Other values (39) 571
21.7%

음식물쓰레기배출요일
Categorical

Distinct38
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
일+월+화+수+목+금
586 
월+수+금+일
378 
월+수+금
348 
월+금
174 
월+화+수+목+금+토
169 
Other values (33)
976 

Length

Max length13
Median length9
Mean length6.6845306
Min length1

Unique

Unique7 ?
Unique (%)0.3%

Sample

1st row월+수+금
2nd row월+수+금
3rd row월+수+금
4th row월+수+금
5th row월+수+금

Common Values

ValueCountFrequency (%)
일+월+화+수+목+금 586
22.3%
월+수+금+일 378
14.4%
월+수+금 348
13.2%
월+금 174
 
6.6%
월+화+수+목+금+토 169
 
6.4%
월+목 150
 
5.7%
화+목 127
 
4.8%
일+화+목 104
 
4.0%
화 75
 
2.9%
월+화+목+금+토 71
 
2.7%
Other values (28) 449
17.1%

Length

2023-12-12T10:40:30.492690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일+월+화+수+목+금 586
22.3%
월+수+금+일 378
14.4%
월+수+금 348
13.2%
월+금 174
 
6.6%
월+화+수+목+금+토 169
 
6.4%
월+목 150
 
5.7%
화+목 127
 
4.8%
일+화+목 104
 
4.0%
화 75
 
2.9%
월+화+목+금+토 71
 
2.7%
Other values (28) 449
17.1%

재활용품배출요일
Categorical

Distinct49
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
월+목
551 
화+목
435 
월+화+수+목+금
405 
수
175 
월+화+수+목+금+토
152 
Other values (44)
913 

Length

Max length13
Median length11
Mean length4.832003
Min length1

Unique

Unique12 ?
Unique (%)0.5%

Sample

1st row월+수+금
2nd row월+수+금
3rd row월+수+금
4th row월+수+금
5th row월+수+금

Common Values

ValueCountFrequency (%)
월+목 551
20.9%
화+목 435
16.5%
월+화+수+목+금 405
15.4%
수 175
 
6.7%
월+화+수+목+금+토 152
 
5.8%
월+수+금 151
 
5.7%
화 101
 
3.8%
일+월+화+수+목+금 69
 
2.6%
일+화+목 66
 
2.5%
목 60
 
2.3%
Other values (39) 466
17.7%

Length

2023-12-12T10:40:30.651770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
월+목 551
20.9%
화+목 435
16.5%
월+화+수+목+금 405
15.4%
수 175
 
6.7%
월+화+수+목+금+토 152
 
5.8%
월+수+금 151
 
5.7%
화 101
 
3.8%
일+월+화+수+목+금 69
 
2.6%
일+화+목 66
 
2.5%
목 60
 
2.3%
Other values (39) 466
17.7%

생활쓰레기배출시작시각
Categorical

IMBALANCE 

Distinct24
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
20:00
1713 
18:00
635 
19:00
176 
00:00
 
19
09:00
 
17
Other values (19)
 
71

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique13 ?
Unique (%)0.5%

Sample

1st row20:00
2nd row20:00
3rd row20:00
4th row20:00
5th row20:00

Common Values

ValueCountFrequency (%)
20:00 1713
65.1%
18:00 635
 
24.1%
19:00 176
 
6.7%
00:00 19
 
0.7%
09:00 17
 
0.6%
21:00 13
 
0.5%
16:00 12
 
0.5%
06:00 12
 
0.5%
17:00 10
 
0.4%
15:00 9
 
0.3%
Other values (14) 15
 
0.6%

Length

2023-12-12T10:40:30.783794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
20:00 1713
65.1%
18:00 635
 
24.1%
19:00 176
 
6.7%
00:00 19
 
0.7%
09:00 17
 
0.6%
21:00 13
 
0.5%
16:00 12
 
0.5%
06:00 12
 
0.5%
17:00 10
 
0.4%
15:00 9
 
0.3%
Other values (14) 15
 
0.6%

생활쓰레기배출종료시각
Categorical

Distinct32
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
04:00
1073 
05:00
549 
06:00
522 
02:00
 
84
23:59
 
78
Other values (27)
325 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique9 ?
Unique (%)0.3%

Sample

1st row06:00
2nd row06:00
3rd row06:00
4th row06:00
5th row06:00

Common Values

ValueCountFrequency (%)
04:00 1073
40.8%
05:00 549
20.9%
06:00 522
19.8%
02:00 84
 
3.2%
23:59 78
 
3.0%
03:00 64
 
2.4%
00:00 62
 
2.4%
24:00 37
 
1.4%
18:00 36
 
1.4%
07:00 24
 
0.9%
Other values (22) 102
 
3.9%

Length

2023-12-12T10:40:30.939151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
04:00 1073
40.8%
05:00 549
20.9%
06:00 522
19.8%
02:00 84
 
3.2%
23:59 78
 
3.0%
03:00 64
 
2.4%
00:00 62
 
2.4%
24:00 37
 
1.4%
18:00 36
 
1.4%
07:00 24
 
0.9%
Other values (22) 102
 
3.9%

음식물쓰레기배출시작시각
Categorical

IMBALANCE 

Distinct25
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
20:00
1710 
18:00
625 
19:00
177 
00:00
 
25
21:00
 
20
Other values (20)
 
74

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique14 ?
Unique (%)0.5%

Sample

1st row20:00
2nd row20:00
3rd row20:00
4th row20:00
5th row20:00

Common Values

ValueCountFrequency (%)
20:00 1710
65.0%
18:00 625
 
23.8%
19:00 177
 
6.7%
00:00 25
 
1.0%
21:00 20
 
0.8%
09:00 17
 
0.6%
06:00 12
 
0.5%
16:00 12
 
0.5%
17:00 10
 
0.4%
15:00 7
 
0.3%
Other values (15) 16
 
0.6%

Length

2023-12-12T10:40:31.062644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
20:00 1710
65.0%
18:00 625
 
23.8%
19:00 177
 
6.7%
00:00 25
 
1.0%
21:00 20
 
0.8%
09:00 17
 
0.6%
06:00 12
 
0.5%
16:00 12
 
0.5%
17:00 10
 
0.4%
15:00 7
 
0.3%
Other values (15) 16
 
0.6%

음식물쓰레기배출종료시각
Categorical

Distinct31
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
04:00
1069 
05:00
550 
06:00
524 
23:59
 
102
00:00
 
68
Other values (26)
318 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique8 ?
Unique (%)0.3%

Sample

1st row06:00
2nd row06:00
3rd row06:00
4th row06:00
5th row06:00

Common Values

ValueCountFrequency (%)
04:00 1069
40.6%
05:00 550
20.9%
06:00 524
19.9%
23:59 102
 
3.9%
00:00 68
 
2.6%
02:00 65
 
2.5%
03:00 62
 
2.4%
24:00 37
 
1.4%
18:00 36
 
1.4%
07:00 24
 
0.9%
Other values (21) 94
 
3.6%

Length

2023-12-12T10:40:31.214204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
04:00 1069
40.6%
05:00 550
20.9%
06:00 524
19.9%
23:59 102
 
3.9%
00:00 68
 
2.6%
02:00 65
 
2.5%
03:00 62
 
2.4%
24:00 37
 
1.4%
18:00 36
 
1.4%
07:00 24
 
0.9%
Other values (21) 94
 
3.6%

재활용품배출시작시각
Categorical

IMBALANCE 

Distinct17
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
20:00
1711 
18:00
629 
19:00
176 
00:00
 
24
21:00
 
20
Other values (12)
 
71

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique5 ?
Unique (%)0.2%

Sample

1st row20:00
2nd row20:00
3rd row20:00
4th row20:00
5th row20:00

Common Values

ValueCountFrequency (%)
20:00 1711
65.0%
18:00 629
 
23.9%
19:00 176
 
6.7%
00:00 24
 
0.9%
21:00 20
 
0.8%
09:00 20
 
0.8%
16:00 16
 
0.6%
06:00 12
 
0.5%
17:00 10
 
0.4%
06:30 3
 
0.1%
Other values (7) 10
 
0.4%

Length

2023-12-12T10:40:31.352617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
20:00 1711
65.0%
18:00 629
 
23.9%
19:00 176
 
6.7%
00:00 24
 
0.9%
21:00 20
 
0.8%
09:00 20
 
0.8%
16:00 16
 
0.6%
06:00 12
 
0.5%
17:00 10
 
0.4%
06:30 3
 
0.1%
Other values (7) 10
 
0.4%

재활용품배출종료시각
Categorical

Distinct26
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
04:00
1071 
05:00
550 
06:00
522 
23:59
 
87
00:00
 
67
Other values (21)
334 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row06:00
2nd row06:00
3rd row06:00
4th row06:00
5th row06:00

Common Values

ValueCountFrequency (%)
04:00 1071
40.7%
05:00 550
20.9%
06:00 522
19.8%
23:59 87
 
3.3%
00:00 67
 
2.5%
02:00 66
 
2.5%
03:00 63
 
2.4%
18:00 40
 
1.5%
24:00 37
 
1.4%
07:00 36
 
1.4%
Other values (16) 92
 
3.5%

Length

2023-12-12T10:40:31.483149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
04:00 1071
40.7%
05:00 550
20.9%
06:00 522
19.8%
23:59 87
 
3.3%
00:00 67
 
2.5%
02:00 66
 
2.5%
03:00 63
 
2.4%
18:00 40
 
1.5%
24:00 37
 
1.4%
07:00 36
 
1.4%
Other values (16) 92
 
3.5%

일시적다량폐기물배출시작시각
Categorical

Distinct18
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
20:00
1019 
09:00
624 
18:00
553 
<NA>
228 
19:00
108 
Other values (13)
 
99

Length

Max length5
Median length5
Mean length4.9133409
Min length4

Unique

Unique7 ?
Unique (%)0.3%

Sample

1st row20:00
2nd row20:00
3rd row20:00
4th row20:00
5th row20:00

Common Values

ValueCountFrequency (%)
20:00 1019
38.7%
09:00 624
23.7%
18:00 553
21.0%
<NA> 228
 
8.7%
19:00 108
 
4.1%
00:00 29
 
1.1%
08:00 18
 
0.7%
15:00 13
 
0.5%
06:00 12
 
0.5%
16:00 12
 
0.5%
Other values (8) 15
 
0.6%

Length

2023-12-12T10:40:31.605900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
20:00 1019
38.7%
09:00 624
23.7%
18:00 553
21.0%
na 228
 
8.7%
19:00 108
 
4.1%
00:00 29
 
1.1%
08:00 18
 
0.7%
15:00 13
 
0.5%
16:00 12
 
0.5%
06:00 12
 
0.5%
Other values (8) 15
 
0.6%

일시적다량폐기물배출종료시각
Categorical

Distinct26
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
04:00
1058 
16:00
506 
06:00
487 
<NA>
247 
18:00
 
104
Other values (21)
229 

Length

Max length5
Median length5
Mean length4.9061193
Min length4

Unique

Unique7 ?
Unique (%)0.3%

Sample

1st row06:00
2nd row06:00
3rd row06:00
4th row06:00
5th row06:00

Common Values

ValueCountFrequency (%)
04:00 1058
40.2%
16:00 506
19.2%
06:00 487
18.5%
<NA> 247
 
9.4%
18:00 104
 
4.0%
03:00 38
 
1.4%
17:00 30
 
1.1%
02:00 28
 
1.1%
23:59 23
 
0.9%
05:00 18
 
0.7%
Other values (16) 92
 
3.5%

Length

2023-12-12T10:40:31.772179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
04:00 1058
40.2%
16:00 506
19.2%
06:00 487
18.5%
na 247
 
9.4%
18:00 104
 
4.0%
03:00 38
 
1.4%
17:00 30
 
1.1%
02:00 28
 
1.1%
23:59 23
 
0.9%
05:00 18
 
0.7%
Other values (16) 92
 
3.5%

미수거일
Text

Distinct135
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
2023-12-12T10:40:32.009167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length92
Median length39
Mean length9.1220068
Min length1

Characters and Unicode

Total characters24000
Distinct characters107
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)2.5%

Sample

1st row공휴일+명절
2nd row공휴일+명절
3rd row공휴일+명절
4th row공휴일+명절
5th row공휴일+명절
ValueCountFrequency (%)
명절 891
23.1%
연휴+법정공휴일+일요일 878
22.8%
일요일+공휴일 530
13.8%
토+일 340
 
8.8%
일요일 222
 
5.8%
일 117
 
3.0%
공휴일+명절 77
 
2.0%
공휴일 62
 
1.6%
설날 43
 
1.1%
추석 41
 
1.1%
Other values (153) 651
16.9%
2023-12-12T10:40:32.430060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
일 5942
24.8%
+ 3217
13.4%
휴 2604
10.8%
요 1798
 
7.5%
공 1697
 
7.1%
1222
 
5.1%
절 1208
 
5.0%
명 1200
 
5.0%
정 933
 
3.9%
법 902
 
3.8%
Other values (97) 3277
13.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19231
80.1%
Math Symbol 3220
 
13.4%
Space Separator 1222
 
5.1%
Other Punctuation 152
 
0.6%
Decimal Number 103
 
0.4%
Open Punctuation 34
 
0.1%
Close Punctuation 34
 
0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 5942
30.9%
휴 2604
13.5%
요 1798
 
9.3%
공 1697
 
8.8%
절 1208
 
6.3%
명 1200
 
6.2%
정 933
 
4.9%
법 902
 
4.7%
연 900
 
4.7%
토 446
 
2.3%
Other values (78) 1601
 
8.3%
Decimal Number
ValueCountFrequency (%)
1 60
58.3%
2 15
 
14.6%
5 9
 
8.7%
0 6
 
5.8%
3 5
 
4.9%
9 4
 
3.9%
8 2
 
1.9%
4 2
 
1.9%
Other Punctuation
ValueCountFrequency (%)
, 118
77.6%
/ 29
 
19.1%
. 3
 
2.0%
: 2
 
1.3%
Math Symbol
ValueCountFrequency (%)
+ 3217
99.9%
~ 2
 
0.1%
＋ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
1222
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19231
80.1%
Common 4769
 
19.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 5942
30.9%
휴 2604
13.5%
요 1798
 
9.3%
공 1697
 
8.8%
절 1208
 
6.3%
명 1200
 
6.2%
정 933
 
4.9%
법 902
 
4.7%
연 900
 
4.7%
토 446
 
2.3%
Other values (78) 1601
 
8.3%
Common
ValueCountFrequency (%)
+ 3217
67.5%
1222
 
25.6%
, 118
 
2.5%
1 60
 
1.3%
( 34
 
0.7%
) 34
 
0.7%
/ 29
 
0.6%
2 15
 
0.3%
5 9
 
0.2%
0 6
 
0.1%
Other values (9) 25
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19231
80.1%
ASCII 4768
 
19.9%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
일 5942
30.9%
휴 2604
13.5%
요 1798
 
9.3%
공 1697
 
8.8%
절 1208
 
6.3%
명 1200
 
6.2%
정 933
 
4.9%
법 902
 
4.7%
연 900
 
4.7%
토 446
 
2.3%
Other values (78) 1601
 
8.3%
ASCII
ValueCountFrequency (%)
+ 3217
67.5%
1222
 
25.6%
, 118
 
2.5%
1 60
 
1.3%
( 34
 
0.7%
) 34
 
0.7%
/ 29
 
0.6%
2 15
 
0.3%
5 9
 
0.2%
0 6
 
0.1%
Other values (8) 24
 
0.5%
None
ValueCountFrequency (%)
＋ 1
100.0%

관리부서명
Text

Distinct127
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
2023-12-12T10:40:32.703364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length5.5541619
Min length3

Characters and Unicode

Total characters14613
Distinct characters134
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)2.4%

Sample

1st row청소위생과
2nd row청소위생과
3rd row청소위생과
4th row청소위생과
5th row청소위생과
ValueCountFrequency (%)
환경과 922
28.9%
환경개발담당 497
15.6%
자원순환과 129
 
4.0%
고창읍사무소 121
 
3.8%
청소행정과 97
 
3.0%
합천읍 87
 
2.7%
청소위생과 80
 
2.5%
흥덕면사무소 55
 
1.7%
환경보호과 53
 
1.7%
자원관리과 52
 
1.6%
Other values (124) 1099
34.4%
2023-12-12T10:40:33.169368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
환 1796
 
12.3%
경 1666
 
11.4%
과 1541
 
10.5%
면 846
 
5.8%
소 784
 
5.4%
무 582
 
4.0%
561
 
3.8%
사 555
 
3.8%
당 509
 
3.5%
담 508
 
3.5%
Other values (124) 5265
36.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14050
96.1%
Space Separator 561
 
3.8%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
환 1796
 
12.8%
경 1666
 
11.9%
과 1541
 
11.0%
면 846
 
6.0%
소 784
 
5.6%
무 582
 
4.1%
사 555
 
4.0%
당 509
 
3.6%
담 508
 
3.6%
발 497
 
3.5%
Other values (122) 4766
33.9%
Space Separator
ValueCountFrequency (%)
561
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14050
96.1%
Common 563
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
환 1796
 
12.8%
경 1666
 
11.9%
과 1541
 
11.0%
면 846
 
6.0%
소 784
 
5.6%
무 582
 
4.1%
사 555
 
4.0%
당 509
 
3.6%
담 508
 
3.6%
발 497
 
3.5%
Other values (122) 4766
33.9%
Common
ValueCountFrequency (%)
561
99.6%
, 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14050
96.1%
ASCII 563
 
3.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
환 1796
 
12.8%
경 1666
 
11.9%
과 1541
 
11.0%
면 846
 
6.0%
소 784
 
5.6%
무 582
 
4.1%
사 555
 
4.0%
당 509
 
3.6%
담 508
 
3.6%
발 497
 
3.5%
Other values (122) 4766
33.9%
ASCII
ValueCountFrequency (%)
561
99.6%
, 2
 
0.4%

관리부서전화번호
Text

Distinct274
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
2023-12-12T10:40:33.495173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.002281
Min length11

Characters and Unicode

Total characters31578
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique156 ?
Unique (%)5.9%

Sample

1st row031-345-2842
2nd row031-345-2842
3rd row031-345-2842
4th row031-345-2842
5th row031-345-2842
ValueCountFrequency (%)
054-930-6193 500
19.0%
054-950-6524 378
 
14.4%
063-560-8133 121
 
4.6%
055-930-4014 87
 
3.3%
031-345-2842 76
 
2.9%
063-560-8429 55
 
2.1%
031-644-2591 52
 
2.0%
055-930-4610 48
 
1.8%
063-560-8365 44
 
1.7%
063-560-8203 39
 
1.5%
Other values (264) 1231
46.8%
2023-12-12T10:40:34.112193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5402
17.1%
- 5262
16.7%
5 4176
13.2%
3 4042
12.8%
4 2987
9.5%
6 2801
8.9%
9 2208
7.0%
2 1716
 
5.4%
1 1654
 
5.2%
8 906
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 26316
83.3%
Dash Punctuation 5262
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5402
20.5%
5 4176
15.9%
3 4042
15.4%
4 2987
11.4%
6 2801
10.6%
9 2208
8.4%
2 1716
 
6.5%
1 1654
 
6.3%
8 906
 
3.4%
7 424
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 5262
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 31578
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5402
17.1%
- 5262
16.7%
5 4176
13.2%
3 4042
12.8%
4 2987
9.5%
6 2801
8.9%
9 2208
7.0%
2 1716
 
5.4%
1 1654
 
5.2%
8 906
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31578
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5402
17.1%
- 5262
16.7%
5 4176
13.2%
3 4042
12.8%
4 2987
9.5%
6 2801
8.9%
9 2208
7.0%
2 1716
 
5.4%
1 1654
 
5.2%
8 906
 
2.9%

데이터기준일자
Date

Distinct131
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
Minimum2017-11-03 00:00:00
Maximum2020-10-27 00:00:00
2023-12-12T10:40:34.283710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:40:34.463041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제공기관코드
Real number (ℝ)

Distinct199
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4896685.9
Minimum3000000
Maximum6520000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.3 KiB
2023-12-12T10:40:34.615936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3430000
Q14780000
median5200000
Q35210000
95-th percentile5480000
Maximum6520000
Range3520000
Interquartile range (IQR)430000

Descriptive statistics

Standard deviation644140.45
Coefficient of variation (CV)0.13154621
Kurtosis0.93521235
Mean4896685.9
Median Absolute Deviation (MAD)280000
Skewness-1.2432899
Sum1.288318 × 1010
Variance4.1491692 × 1011
MonotonicityNot monotonic
2023-12-12T10:40:34.783274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5210000 500
19.0%
4780000 500
19.0%
5480000 497
18.9%
5200000 378
14.4%
4030000 76
 
2.9%
4070000 52
 
2.0%
3670000 34
 
1.3%
3070000 29
 
1.1%
3420000 20
 
0.8%
3430000 19
 
0.7%
Other values (189) 526
20.0%
ValueCountFrequency (%)
3000000 1
 
< 0.1%
3010000 6
 
0.2%
3020000 1
 
< 0.1%
3030000 2
 
0.1%
3040000 2
 
0.1%
3060000 1
 
< 0.1%
3070000 29
1.1%
3100000 12
0.5%
3110000 2
 
0.1%
3140000 2
 
0.1%
ValueCountFrequency (%)
6520000 1
 
< 0.1%
6510000 2
 
0.1%
6310000 17
0.6%
5710000 1
 
< 0.1%
5700000 1
 
< 0.1%
5600000 4
 
0.2%
5590000 7
0.3%
5580000 1
 
< 0.1%
5570000 2
 
0.1%
5540000 7
0.3%

제공기관명
Text

Distinct199
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
2023-12-12T10:40:35.027058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length7.9619916
Min length5

Characters and Unicode

Total characters20948
Distinct characters131
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique112 ?
Unique (%)4.3%

Sample

1st row경기도 의왕시
2nd row경기도 의왕시
3rd row경기도 의왕시
4th row경기도 의왕시
5th row경기도 의왕시
ValueCountFrequency (%)
경상북도 920
17.5%
경상남도 563
10.7%
전라북도 533
10.2%
고창군 500
9.5%
성주군 500
9.5%
합천군 497
9.5%
고령군 378
 
7.2%
경기도 199
 
3.8%
서울특별시 77
 
1.5%
의왕시 76
 
1.4%
Other values (184) 1002
19.1%
2023-12-12T10:40:35.430104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2614
12.5%
도 2361
 
11.3%
군 2071
 
9.9%
경 1686
 
8.0%
북 1530
 
7.3%
상 1486
 
7.1%
고 881
 
4.2%
남 656
 
3.1%
전 633
 
3.0%
천 619
 
3.0%
Other values (121) 6411
30.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18334
87.5%
Space Separator 2614
 
12.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 2361
12.9%
군 2071
 
11.3%
경 1686
 
9.2%
북 1530
 
8.3%
상 1486
 
8.1%
고 881
 
4.8%
남 656
 
3.6%
전 633
 
3.5%
천 619
 
3.4%
성 590
 
3.2%
Other values (120) 5821
31.7%
Space Separator
ValueCountFrequency (%)
2614
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18334
87.5%
Common 2614
 
12.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 2361
12.9%
군 2071
 
11.3%
경 1686
 
9.2%
북 1530
 
8.3%
상 1486
 
8.1%
고 881
 
4.8%
남 656
 
3.6%
전 633
 
3.5%
천 619
 
3.4%
성 590
 
3.2%
Other values (120) 5821
31.7%
Common
ValueCountFrequency (%)
2614
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18334
87.5%
ASCII 2614
 
12.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2614
100.0%
Hangul
ValueCountFrequency (%)
도 2361
12.9%
군 2071
 
11.3%
경 1686
 
9.2%
북 1530
 
8.3%
상 1486
 
8.1%
고 881
 
4.8%
남 656
 
3.6%
전 633
 
3.5%
천 619
 
3.4%
성 590
 
3.2%
Other values (120) 5821
31.7%

Sample

시도명시군구명관리구역명관리구역대상지역명배출장소유형배출장소생활쓰레기배출방법음식물쓰레기배출방법재활용품배출방법일시적다량폐기물배출방법일시적다량폐기물배출장소생활쓰레기배출요일음식물쓰레기배출요일재활용품배출요일생활쓰레기배출시작시각생활쓰레기배출종료시각음식물쓰레기배출시작시각음식물쓰레기배출종료시각재활용품배출시작시각재활용품배출종료시각일시적다량폐기물배출시작시각일시적다량폐기물배출종료시각미수거일관리부서명관리부서전화번호데이터기준일자제공기관코드제공기관명
0경기도의왕시5개권역고천동+오전동+부곡동+내손1동+내손2동+청계동문전수거지구촌어린이집, 만주빌딩, 홍명상가규격봉투에 넣어 지정된 요일에 배출물기를 최대한 줄인 음식물만 전용봉투에 담아 배출투명한 비닐 혹은 마대에 담거나 끈으로 묶어서 지정된 요일에 배출청소위생과에 연락 후 배출시간, 방법 안내5톤 미만은 생활폐기물 배출로 방문수거함.월+수+금월+수+금월+수+금20:0006:0020:0006:0020:0006:0020:0006:00공휴일+명절청소위생과031-345-28422019-09-014030000경기도 의왕시
1경기도의왕시5개권역고천동+오전동+부곡동+내손1동+내손2동+청계동문전수거신광연립, 메트로빌라 101동, 한광샤인빌리지규격봉투에 넣어 지정된 요일에 배출물기를 최대한 줄인 음식물만 전용봉투에 담아 배출투명한 비닐 혹은 마대에 담거나 끈으로 묶어서 지정된 요일에 배출청소위생과에 연락 후 배출시간, 방법 안내5톤 미만은 생활폐기물 배출로 방문수거함.월+수+금월+수+금월+수+금20:0006:0020:0006:0020:0006:0020:0006:00공휴일+명절청소위생과031-345-28422019-09-014030000경기도 의왕시
2경기도의왕시5개권역고천동+오전동+부곡동+내손1동+내손2동+청계동문전수거의왕경찰서, 왕곡동 146, 대안사 사무실규격봉투에 넣어 지정된 요일에 배출물기를 최대한 줄인 음식물만 전용봉투에 담아 배출투명한 비닐 혹은 마대에 담거나 끈으로 묶어서 지정된 요일에 배출청소위생과에 연락 후 배출시간, 방법 안내5톤 미만은 생활폐기물 배출로 방문수거함.월+수+금월+수+금월+수+금20:0006:0020:0006:0020:0006:0020:0006:00공휴일+명절청소위생과031-345-28422019-09-014030000경기도 의왕시
3경기도의왕시5개권역고천동+오전동+부곡동+내손1동+내손2동+청계동문전수거건강누리의왕시립노인요양원,규격봉투에 넣어 지정된 요일에 배출물기를 최대한 줄인 음식물만 전용봉투에 담아 배출투명한 비닐 혹은 마대에 담거나 끈으로 묶어서 지정된 요일에 배출청소위생과에 연락 후 배출시간, 방법 안내5톤 미만은 생활폐기물 배출로 방문수거함.월+수+금월+수+금월+수+금20:0006:0020:0006:0020:0006:0020:0006:00공휴일+명절청소위생과031-345-28422019-09-014030000경기도 의왕시
4경기도의왕시5개권역고천동+오전동+부곡동+내손1동+내손2동+청계동문전수거왕곡동447-1, 고천동 주민센터, 왕곡초등학교(행정실)규격봉투에 넣어 지정된 요일에 배출물기를 최대한 줄인 음식물만 전용봉투에 담아 배출투명한 비닐 혹은 마대에 담거나 끈으로 묶어서 지정된 요일에 배출청소위생과에 연락 후 배출시간, 방법 안내5톤 미만은 생활폐기물 배출로 방문수거함.월+수+금월+수+금월+수+금20:0006:0020:0006:0020:0006:0020:0006:00공휴일+명절청소위생과031-345-28422019-09-014030000경기도 의왕시
5경기도의왕시5개권역고천동+오전동+부곡동+내손1동+내손2동+청계동문전수거하늘빌라, 경일산업, 통미마을, 신양빌리지, 골사그네 경로당, 우미타운, 왕곡동 경로당, 아름채노인복지관, 진주빌라, 시청별관, 고천초등학교규격봉투에 넣어 지정된 요일에 배출물기를 최대한 줄인 음식물만 전용봉투에 담아 배출투명한 비닐 혹은 마대에 담거나 끈으로 묶어서 지정된 요일에 배출청소위생과에 연락 후 배출시간, 방법 안내5톤 미만은 생활폐기물 배출로 방문수거함.월+수+금월+수+금월+수+금20:0006:0020:0006:0020:0006:0020:0006:00공휴일+명절청소위생과031-345-28422019-09-014030000경기도 의왕시
6경기도의왕시5개권역고천동+오전동+부곡동+내손1동+내손2동+청계동문전수거희망나래장애인보지관규격봉투에 넣어 지정된 요일에 배출물기를 최대한 줄인 음식물만 전용봉투에 담아 배출투명한 비닐 혹은 마대에 담거나 끈으로 묶어서 지정된 요일에 배출청소위생과에 연락 후 배출시간, 방법 안내5톤 미만은 생활폐기물 배출로 방문수거함.월+수+금월+수+금월+수+금20:0006:0020:0006:0020:0006:0020:0006:00공휴일+명절청소위생과031-345-28422019-09-014030000경기도 의왕시
7경기도의왕시5개권역고천동+오전동+부곡동+내손1동+내손2동+청계동문전수거서울소년원(청사)규격봉투에 넣어 지정된 요일에 배출물기를 최대한 줄인 음식물만 전용봉투에 담아 배출투명한 비닐 혹은 마대에 담거나 끈으로 묶어서 지정된 요일에 배출청소위생과에 연락 후 배출시간, 방법 안내5톤 미만은 생활폐기물 배출로 방문수거함.월+수+금월+수+금월+수+금20:0006:0020:0006:0020:0006:0020:0006:00공휴일+명절청소위생과031-345-28422019-09-014030000경기도 의왕시
8경기도의왕시5개권역고천동+오전동+부곡동+내손1동+내손2동+청계동문전수거서울소년원(관사)규격봉투에 넣어 지정된 요일에 배출물기를 최대한 줄인 음식물만 전용봉투에 담아 배출투명한 비닐 혹은 마대에 담거나 끈으로 묶어서 지정된 요일에 배출청소위생과에 연락 후 배출시간, 방법 안내5톤 미만은 생활폐기물 배출로 방문수거함.월+수+금월+수+금월+수+금20:0006:0020:0006:0020:0006:0020:0006:00공휴일+명절청소위생과031-345-28422019-09-014030000경기도 의왕시
9경기도의왕시5개권역고천동+오전동+부곡동+내손1동+내손2동+청계동문전수거재활용분리수거대 위치 (거점수거)규격봉투에 넣어 지정된 요일에 배출물기를 최대한 줄인 음식물만 전용봉투에 담아 배출투명한 비닐 혹은 마대에 담거나 끈으로 묶어서 지정된 요일에 배출청소위생과에 연락 후 배출시간, 방법 안내5톤 미만은 생활폐기물 배출로 방문수거함.월+수+금월+수+금월+수+금20:0006:0020:0006:0020:0006:0020:0006:00공휴일+명절청소위생과031-345-28422019-09-014030000경기도 의왕시
시도명시군구명관리구역명관리구역대상지역명배출장소유형배출장소생활쓰레기배출방법음식물쓰레기배출방법재활용품배출방법일시적다량폐기물배출방법일시적다량폐기물배출장소생활쓰레기배출요일음식물쓰레기배출요일재활용품배출요일생활쓰레기배출시작시각생활쓰레기배출종료시각음식물쓰레기배출시작시각음식물쓰레기배출종료시각재활용품배출시작시각재활용품배출종료시각일시적다량폐기물배출시작시각일시적다량폐기물배출종료시각미수거일관리부서명관리부서전화번호데이터기준일자제공기관코드제공기관명
2621전라남도해남군해남군해남군전역문전수거문전문전문전문전방문수거문전월+화+수+목+금월+화+수+목+금월+화+수+목+금19:0005:0019:0005:0019:0005:0009:0014:00토요일, 일요일환경교통과061-530-53362019-06-174930000전라남도 해남군
2622경상남도하동군하동군하동군문전수거도로변종량제규격봉투종량제규격봉투투명비닐봉투사전 신고생활폐기물처리장월+화+목+금월+화+목+금일+수18:0023:0018:0023:0018:0023:0018:0023:00일요일환경보호과055-880-25832019-06-165440000경상남도 하동군
2623경기도과천시과천시 전역과천시 전역문전수거집앞종량제봉투종량제봉투 및 RFID음식물폐기물 종량기 이용집앞계약 후 처리처리업체와 협의장소월+화+수+목+금+토월+화+수+목+금+토월+화+수+목+금+토00:0023:5900:0023:5900:0023:5900:0023:59일요일환경위생과02-3677-22512019-05-303970000경기도 과천시
2624충청남도계룡시없음없음문전수거집앞규격봉투에 넣어 배출물기를 최대한 줄여 음식물만 넣어 스티커부착하여배출투명한 비닐봉투에 담아 배출면동사무소에서 스티커 발급후 배출문전수거일+월+화+수+목+금일+월+화+수+목+금화+금19:0001:0019:0001:0019:0001:0019:0001:00명절+임시공휴일+일요일환경위생과042-840-24822019-04-305580000충청남도 계룡시
2625대전광역시동구없음없음문전수거집앞규격봉투에 넣어 지정된 요일에 배출물기를 최대한 줄여 전용용기에 담아 납부필증 부착 후 배출투명한 비닐봉투에 담아 지정된 요일에 배출폐기물이 5t이상일 경우 구청 환경보호담당에 신고 후 처리/ 미만일 경우 집앞 배출집앞일+월+화+수+목+금일+월+화+수+목+금일+월+화+수+목+금19:0002:0019:0000:0019:0002:00<NA><NA>명절 당일+토요일환경과042-251-45612019-04-153640000대전광역시 동구
2626전라남도여수시없음없음거점수거생활쓰레기, 재활용품-대로변, 주민간합의된 장소, 음식물쓰레기-집앞종량제 봉투에 담아 지정된 요일에 배출음식물수거용기에 담아 납부필증 부착하여 지정된 요일에 배출품목별로 분류하여 투병 봉투에 담거나 끈으로 묶어 배출없음없음월+화+수+목+금+토월+화+수+목+금+토월+화+수+목+금+토20:0005:0020:0005:0020:0005:0020:0005:00일요일도시미화과061-659-38332019-03-154810000전라남도 여수시
2627강원도영월군없음영월읍문전수거집앞종량제봉투에 담아서배출음식물 전용용기 또는 매립용봉투에 넣어 배출투명한 비닐봉투에 담거나 끈으로 묶어서 배출해당없음해당없음일+월+화+수+목일+월+화+수+목일+월+화+수+목19:0012:0019:0012:0019:0012:00<NA><NA>토요일+일요일+공휴일환경산림과033-370-23352018-08-274270000강원도 영월군
2628강원도영월군없음상동읍+중동면+김삿갓면+북면+남면+한반도면+주천면+무릉도원면문전수거집앞종량제봉투에 담아서배출매립용봉투에 넣어 배출투명한 비닐봉투에 담거나 끈으로 묶어서 배출해당없음해당없음일+월+화+수+목일+월+화+수+목일+월+화+수+목19:0012:0019:0012:0019:0012:00<NA><NA>토요일+일요일+공휴일환경산림과033-370-23352018-08-274270000강원도 영월군
2629전라북도김제시없음없음문전수거집앞규격봉투에 넣어 지정된 요일에 배출음식물쓰레기수거전용용기에 칩부착하여 배출투명 또는 파란 봉투에 담아서 배출읍면동사무소에서 폐기물배출 신고 후 차량 출입 가능한 곳에 배출집 앞 또는 인근 공터일+월+화+수+목+금+토일+월+화+수+목+금+토일+월+화+수+목+금+토00:0023:5900:0023:5900:0023:5900:0023:59명절당일환경과063-540-34352018-08-094710000전라북도 김제시
2630충청북도영동군없음없음문전수거집앞종량제봉투에 넣어 일몰후 배출물기를 최대한 줄여 종량제봉투에 넣어 일몰후 배출투명한비닐봉투에 담거나 끈으로 묶어서 배출개인차량을 이용하여 자원순환센터로 반입영동군 자원순환센터월+화+수+목+금+토월+화+수+목+금+토월+화+수+목+금+토18:0006:0018:0006:0018:0006:0010:0017:00공휴일+일요일환경과043-740-34132017-11-034440000충청북도 영동군

Duplicate rows

Most frequently occurring

시도명시군구명관리구역명관리구역대상지역명배출장소유형배출장소생활쓰레기배출방법음식물쓰레기배출방법재활용품배출방법일시적다량폐기물배출방법일시적다량폐기물배출장소생활쓰레기배출요일음식물쓰레기배출요일재활용품배출요일생활쓰레기배출시작시각생활쓰레기배출종료시각음식물쓰레기배출시작시각음식물쓰레기배출종료시각재활용품배출시작시각재활용품배출종료시각일시적다량폐기물배출시작시각일시적다량폐기물배출종료시각미수거일관리부서명관리부서전화번호데이터기준일자제공기관코드제공기관명# duplicates
0전라남도해남군해남군해남군전역문전수거문전문전문전문전방문수거문전월+화+수+목+금월+화+수+목+금월+화+수+목+금19:0005:0019:0005:0019:0005:0009:0014:00토요일, 일요일환경교통과061-530-53362019-06-174930000전라남도 해남군2