Overview

Dataset statistics

Number of variables39
Number of observations703
Missing cells3
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory216.4 KiB
Average record size in memory315.2 B

Variable types

Numeric3
Text3
Boolean30
Categorical2
DateTime1

Dataset

Description전라남도 여수시의 종량제봉투 판매업체 데이터로, 판매업체명, 판매업체 소재지 도로명주소, 지번주소, 위경도, 종류별 판매현황, 관리부서명 등의 데이터를 포함함.
Author전라남도 여수시
URLhttps://www.data.go.kr/data/15111740/fileData.do

Alerts

음식물용 종량제 봉투 판매여부-3리터 has constant value ""Constant
관리부서명 has constant value ""Constant
관리부서전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
대형폐기물 스티커 판매 여부-사천원권 is highly imbalanced (55.5%)Imbalance
대형폐기물 스티커 판매 여부-육천원권 is highly imbalanced (82.1%)Imbalance
대형폐기물 스티커 판매 여부-칠천원권 is highly imbalanced (88.4%)Imbalance
대형폐기물 스티커 판매 여부-팔천원권 is highly imbalanced (77.8%)Imbalance
대형폐기물 스티커 판매 여부-만원권 is highly imbalanced (75.2%)Imbalance
대형폐기물 스티커 판매 여부-만오천원권 is highly imbalanced (84.3%)Imbalance
대형폐기물 스티커 판매 여부-이만원권 is highly imbalanced (94.9%)Imbalance
일반용 종량제 봉투 판매여부-5리터 is highly imbalanced (57.0%)Imbalance
일반용 종량제 봉투 판매여부-100리터 is highly imbalanced (92.9%)Imbalance
재사용 종량제 봉투 판매여부-30리터 is highly imbalanced (74.6%)Imbalance
음식물용 종량제 봉투 판매여부-5리터 is highly imbalanced (97.2%)Imbalance
1회용 음식물 납부 필증 판매여부-5리터 is highly imbalanced (56.5%)Imbalance
1회용 음식물 납부 필증 판매여부-10리터 is highly imbalanced (85.9%)Imbalance
1회용 음식물 납부 필증 판매여부-60리터 is highly imbalanced (85.1%)Imbalance
1회용 음식물 납부 필증 판매여부-120리터 is highly imbalanced (51.9%)Imbalance
1개월용 음식물 납부 필증 판매여부-120리터 is highly imbalanced (96.0%)Imbalance
번호 has unique valuesUnique
판매 업체 상호 명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:33:38.687345
Analysis finished2023-12-12 13:33:39.865066
Duration1.18 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct703
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean352
Minimum1
Maximum703
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-12-12T22:33:39.928945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile36.1
Q1176.5
median352
Q3527.5
95-th percentile667.9
Maximum703
Range702
Interquartile range (IQR)351

Descriptive statistics

Standard deviation203.08291
Coefficient of variation (CV)0.57694007
Kurtosis-1.2
Mean352
Median Absolute Deviation (MAD)176
Skewness0
Sum247456
Variance41242.667
MonotonicityStrictly increasing
2023-12-12T22:33:40.056218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
2 1
 
0.1%
465 1
 
0.1%
466 1
 
0.1%
467 1
 
0.1%
468 1
 
0.1%
469 1
 
0.1%
470 1
 
0.1%
471 1
 
0.1%
472 1
 
0.1%
Other values (693) 693
98.6%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
703 1
0.1%
702 1
0.1%
701 1
0.1%
700 1
0.1%
699 1
0.1%
698 1
0.1%
697 1
0.1%
696 1
0.1%
695 1
0.1%
694 1
0.1%

판매 업체 상호 명
Text

UNIQUE 

Distinct703
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2023-12-12T22:33:40.350091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length7.9103841
Min length3

Characters and Unicode

Total characters5561
Distinct characters348
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

Unique703 ?
Unique (%)100.0%

Sample

1st row삼거리슈퍼
2nd row사거리상회
3rd row우진슈퍼
4th row부영상회
5th row휴게실쇼핑
ValueCountFrequency (%)
삼거리슈퍼 1
 
0.1%
대교동주민센터 1
 
0.1%
세븐일레븐여수첨단소재사택점 1
 
0.1%
남강슈퍼 1
 
0.1%
gs25여수송소점 1
 
0.1%
한살림전남남부소비자생활협동조합여수매장 1
 
0.1%
cu여수신기남점 1
 
0.1%
고흥슈퍼 1
 
0.1%
gs25화산점 1
 
0.1%
여수농협화정지점하나로마트 1
 
0.1%
Other values (695) 695
98.6%
2023-12-12T22:33:40.782347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 421
 
7.6%
여 348
 
6.3%
수 328
 
5.9%
마 237
 
4.3%
트 231
 
4.2%
2 165
 
3.0%
븐 131
 
2.4%
S 124
 
2.2%
G 121
 
2.2%
5 118
 
2.1%
Other values (338) 3337
60.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4766
85.7%
Uppercase Letter 432
 
7.8%
Decimal Number 330
 
5.9%
Open Punctuation 9
 
0.2%
Close Punctuation 9
 
0.2%
Lowercase Letter 8
 
0.1%
Space Separator 3
 
0.1%
Other Symbol 2
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 421
 
8.8%
여 348
 
7.3%
수 328
 
6.9%
마 237
 
5.0%
트 231
 
4.8%
븐 131
 
2.7%
일 83
 
1.7%
레 74
 
1.6%
이 72
 
1.5%
세 64
 
1.3%
Other values (311) 2777
58.3%
Uppercase Letter
ValueCountFrequency (%)
S 124
28.7%
G 121
28.0%
C 90
20.8%
U 83
19.2%
D 6
 
1.4%
R 3
 
0.7%
M 2
 
0.5%
J 1
 
0.2%
A 1
 
0.2%
T 1
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
s 2
25.0%
g 1
12.5%
f 1
12.5%
l 1
12.5%
e 1
12.5%
u 1
12.5%
c 1
12.5%
Decimal Number
ValueCountFrequency (%)
2 165
50.0%
5 118
35.8%
4 45
 
13.6%
1 2
 
0.6%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
. 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4768
85.7%
Latin 440
 
7.9%
Common 353
 
6.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 421
 
8.8%
여 348
 
7.3%
수 328
 
6.9%
마 237
 
5.0%
트 231
 
4.8%
븐 131
 
2.7%
일 83
 
1.7%
레 74
 
1.6%
이 72
 
1.5%
세 64
 
1.3%
Other values (312) 2779
58.3%
Latin
ValueCountFrequency (%)
S 124
28.2%
G 121
27.5%
C 90
20.5%
U 83
18.9%
D 6
 
1.4%
R 3
 
0.7%
s 2
 
0.5%
M 2
 
0.5%
J 1
 
0.2%
A 1
 
0.2%
Other values (7) 7
 
1.6%
Common
ValueCountFrequency (%)
2 165
46.7%
5 118
33.4%
4 45
 
12.7%
( 9
 
2.5%
) 9
 
2.5%
3
 
0.8%
1 2
 
0.6%
& 1
 
0.3%
. 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4766
85.7%
ASCII 793
 
14.3%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 421
 
8.8%
여 348
 
7.3%
수 328
 
6.9%
마 237
 
5.0%
트 231
 
4.8%
븐 131
 
2.7%
일 83
 
1.7%
레 74
 
1.6%
이 72
 
1.5%
세 64
 
1.3%
Other values (311) 2777
58.3%
ASCII
ValueCountFrequency (%)
2 165
20.8%
S 124
15.6%
G 121
15.3%
5 118
14.9%
C 90
11.3%
U 83
10.5%
4 45
 
5.7%
( 9
 
1.1%
) 9
 
1.1%
D 6
 
0.8%
Other values (16) 23
 
2.9%
None
ValueCountFrequency (%)
㈜ 2
100.0%

판매 업체 소재지도로명주소
Text

Distinct696
Distinct (%)99.4%
Missing3
Missing (%)0.4%
Memory size5.6 KiB
2023-12-12T22:33:41.170304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length36
Mean length16.29
Min length1

Characters and Unicode

Total characters11403
Distinct characters233
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

Unique692 ?
Unique (%)98.9%

Sample

1st row돌산읍 방답길 64
2nd row돌산읍 계동해안길37
3rd row돌산읍 진두해안길 26-4
4th row돌산읍 돌산로 654
5th row돌산읍 방답길46
ValueCountFrequency (%)
여수시 202
 
7.9%
전남 138
 
5.4%
쌍봉동 71
 
2.8%
돌산읍 68
 
2.7%
시전동 57
 
2.2%
1층 54
 
2.1%
여천동 42
 
1.6%
소라면 37
 
1.4%
문수동 34
 
1.3%
여서동 27
 
1.1%
Other values (924) 1823
71.4%
2023-12-12T22:33:41.810348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1884
 
16.5%
동 750
 
6.6%
1 675
 
5.9%
로 424
 
3.7%
여 360
 
3.2%
2 330
 
2.9%
수 315
 
2.8%
시 296
 
2.6%
길 273
 
2.4%
3 264
 
2.3%
Other values (223) 5832
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6318
55.4%
Decimal Number 2431
 
21.3%
Space Separator 1884
 
16.5%
Close Punctuation 212
 
1.9%
Open Punctuation 212
 
1.9%
Other Punctuation 177
 
1.6%
Dash Punctuation 141
 
1.2%
Uppercase Letter 23
 
0.2%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 750
 
11.9%
로 424
 
6.7%
여 360
 
5.7%
수 315
 
5.0%
시 296
 
4.7%
길 273
 
4.3%
남 213
 
3.4%
전 203
 
3.2%
산 180
 
2.8%
봉 139
 
2.2%
Other values (195) 3165
50.1%
Decimal Number
ValueCountFrequency (%)
1 675
27.8%
2 330
13.6%
3 264
 
10.9%
4 198
 
8.1%
0 187
 
7.7%
6 182
 
7.5%
5 178
 
7.3%
8 152
 
6.3%
7 144
 
5.9%
9 121
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 7
30.4%
A 6
26.1%
S 2
 
8.7%
D 2
 
8.7%
J 1
 
4.3%
C 1
 
4.3%
G 1
 
4.3%
F 1
 
4.3%
M 1
 
4.3%
N 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 172
97.2%
@ 4
 
2.3%
. 1
 
0.6%
Space Separator
ValueCountFrequency (%)
1884
100.0%
Close Punctuation
ValueCountFrequency (%)
) 212
100.0%
Open Punctuation
ValueCountFrequency (%)
( 212
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 141
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6318
55.4%
Common 5062
44.4%
Latin 23
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 750
 
11.9%
로 424
 
6.7%
여 360
 
5.7%
수 315
 
5.0%
시 296
 
4.7%
길 273
 
4.3%
남 213
 
3.4%
전 203
 
3.2%
산 180
 
2.8%
봉 139
 
2.2%
Other values (195) 3165
50.1%
Common
ValueCountFrequency (%)
1884
37.2%
1 675
 
13.3%
2 330
 
6.5%
3 264
 
5.2%
) 212
 
4.2%
( 212
 
4.2%
4 198
 
3.9%
0 187
 
3.7%
6 182
 
3.6%
5 178
 
3.5%
Other values (8) 740
 
14.6%
Latin
ValueCountFrequency (%)
B 7
30.4%
A 6
26.1%
S 2
 
8.7%
D 2
 
8.7%
J 1
 
4.3%
C 1
 
4.3%
G 1
 
4.3%
F 1
 
4.3%
M 1
 
4.3%
N 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6318
55.4%
ASCII 5085
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1884
37.1%
1 675
 
13.3%
2 330
 
6.5%
3 264
 
5.2%
) 212
 
4.2%
( 212
 
4.2%
4 198
 
3.9%
0 187
 
3.7%
6 182
 
3.6%
5 178
 
3.5%
Other values (18) 763
15.0%
Hangul
ValueCountFrequency (%)
동 750
 
11.9%
로 424
 
6.7%
여 360
 
5.7%
수 315
 
5.0%
시 296
 
4.7%
길 273
 
4.3%
남 213
 
3.4%
전 203
 
3.2%
산 180
 
2.8%
봉 139
 
2.2%
Other values (195) 3165
50.1%

판매 업체 소재지지번주소
Text

Distinct683
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2023-12-12T22:33:42.113861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length28
Mean length16.697013
Min length3

Characters and Unicode

Total characters11738
Distinct characters144
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

Unique665 ?
Unique (%)94.6%

Sample

1st row전라남도 여수시 돌산읍 군내리 253
2nd row전라남도 여수시 돌산읍 평사리 3
3rd row전라남도 여수시 돌산읍 우두리 799-41
4th row전라남도 여수시 돌산읍 금성리 849-1
5th row전라남도 여수시 돌산읍 군내리 446-1
ValueCountFrequency (%)
여수시 563
21.0%
전라남도 558
20.8%
학동 54
 
2.0%
돌산읍 45
 
1.7%
문수동 41
 
1.5%
웅천동 40
 
1.5%
우두리 34
 
1.3%
여서동 31
 
1.2%
화장동 29
 
1.1%
신기동 27
 
1.0%
Other values (740) 1259
47.0%
2023-12-12T22:33:42.508713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1991
17.0%
1 659
 
5.6%
수 618
 
5.3%
여 602
 
5.1%
라 584
 
5.0%
남 572
 
4.9%
도 569
 
4.8%
전 565
 
4.8%
시 564
 
4.8%
동 560
 
4.8%
Other values (134) 4454
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6391
54.4%
Decimal Number 2852
24.3%
Space Separator 1991
 
17.0%
Dash Punctuation 494
 
4.2%
Uppercase Letter 7
 
0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 618
9.7%
여 602
9.4%
라 584
 
9.1%
남 572
 
9.0%
도 569
 
8.9%
전 565
 
8.8%
시 564
 
8.8%
동 560
 
8.8%
리 155
 
2.4%
산 102
 
1.6%
Other values (115) 1500
23.5%
Decimal Number
ValueCountFrequency (%)
1 659
23.1%
2 342
12.0%
4 282
9.9%
3 266
9.3%
7 261
 
9.2%
8 239
 
8.4%
6 228
 
8.0%
0 218
 
7.6%
5 199
 
7.0%
9 158
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
D 2
28.6%
S 1
14.3%
G 1
14.3%
M 1
14.3%
B 1
14.3%
F 1
14.3%
Space Separator
ValueCountFrequency (%)
1991
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 494
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6391
54.4%
Common 5340
45.5%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 618
9.7%
여 602
9.4%
라 584
 
9.1%
남 572
 
9.0%
도 569
 
8.9%
전 565
 
8.8%
시 564
 
8.8%
동 560
 
8.8%
리 155
 
2.4%
산 102
 
1.6%
Other values (115) 1500
23.5%
Common
ValueCountFrequency (%)
1991
37.3%
1 659
 
12.3%
- 494
 
9.3%
2 342
 
6.4%
4 282
 
5.3%
3 266
 
5.0%
7 261
 
4.9%
8 239
 
4.5%
6 228
 
4.3%
0 218
 
4.1%
Other values (3) 360
 
6.7%
Latin
ValueCountFrequency (%)
D 2
28.6%
S 1
14.3%
G 1
14.3%
M 1
14.3%
B 1
14.3%
F 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6391
54.4%
ASCII 5347
45.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1991
37.2%
1 659
 
12.3%
- 494
 
9.2%
2 342
 
6.4%
4 282
 
5.3%
3 266
 
5.0%
7 261
 
4.9%
8 239
 
4.5%
6 228
 
4.3%
0 218
 
4.1%
Other values (9) 367
 
6.9%
Hangul
ValueCountFrequency (%)
수 618
9.7%
여 602
9.4%
라 584
 
9.1%
남 572
 
9.0%
도 569
 
8.9%
전 565
 
8.8%
시 564
 
8.8%
동 560
 
8.8%
리 155
 
2.4%
산 102
 
1.6%
Other values (115) 1500
23.5%

판매 업체 위도
Real number (ℝ)

Distinct699
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.741501
Minimum34.025417
Maximum34.894672
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-12-12T22:33:42.677331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.025417
5-th percentile34.624204
Q134.737719
median34.751794
Q334.765542
95-th percentile34.819559
Maximum34.894672
Range0.869255
Interquartile range (IQR)0.027823

Descriptive statistics

Standard deviation0.083926829
Coefficient of variation (CV)0.0024157514
Kurtosis45.482884
Mean34.741501
Median Absolute Deviation (MAD)0.014029
Skewness-5.8306568
Sum24423.275
Variance0.0070437126
MonotonicityNot monotonic
2023-12-12T22:33:42.850488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.733076 2
 
0.3%
34.741415 2
 
0.3%
34.739334 2
 
0.3%
34.73266 2
 
0.3%
34.616162 1
 
0.1%
34.619417 1
 
0.1%
34.685549 1
 
0.1%
34.026746 1
 
0.1%
34.727642 1
 
0.1%
34.748914 1
 
0.1%
Other values (689) 689
98.0%
ValueCountFrequency (%)
34.025417 1
0.1%
34.026006 1
0.1%
34.026089 1
0.1%
34.026746 1
0.1%
34.027597 1
0.1%
34.027762 1
0.1%
34.229817 1
0.1%
34.432301 1
0.1%
34.48717 1
0.1%
34.508625 1
0.1%
ValueCountFrequency (%)
34.894672 1
0.1%
34.883762 1
0.1%
34.883547 1
0.1%
34.883258 1
0.1%
34.883255 1
0.1%
34.882183 1
0.1%
34.882179 1
0.1%
34.881942 1
0.1%
34.881478 1
0.1%
34.881262 1
0.1%

판매 업체 경도
Real number (ℝ)

Distinct701
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.68875
Minimum127.23373
Maximum127.80486
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-12-12T22:33:43.007201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.23373
5-th percentile127.61399
Q1127.65794
median127.69944
Q3127.72786
95-th percentile127.75199
Maximum127.80486
Range0.571127
Interquartile range (IQR)0.069918

Descriptive statistics

Standard deviation0.059652995
Coefficient of variation (CV)0.00046717504
Kurtosis16.894232
Mean127.68875
Median Absolute Deviation (MAD)0.034835
Skewness-2.9380495
Sum89765.189
Variance0.0035584799
MonotonicityNot monotonic
2023-12-12T22:33:43.164805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.722973 2
 
0.3%
127.68092 2
 
0.3%
127.723406 1
 
0.1%
127.676279 1
 
0.1%
127.64142 1
 
0.1%
127.698049 1
 
0.1%
127.672624 1
 
0.1%
127.726829 1
 
0.1%
127.640146 1
 
0.1%
127.641119 1
 
0.1%
Other values (691) 691
98.3%
ValueCountFrequency (%)
127.233728 1
0.1%
127.304963 1
0.1%
127.309974 1
0.1%
127.310406 1
0.1%
127.310789 1
0.1%
127.311414 1
0.1%
127.315596 1
0.1%
127.511464 1
0.1%
127.524683 1
0.1%
127.535581 1
0.1%
ValueCountFrequency (%)
127.804855 1
0.1%
127.804114 1
0.1%
127.801351 1
0.1%
127.797349 1
0.1%
127.792974 1
0.1%
127.787452 1
0.1%
127.782412 1
0.1%
127.782222 1
0.1%
127.777397 1
0.1%
127.775634 1
0.1%

대형폐기물 스티커 판매 여부-천원권
Boolean

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size835.0 B
False
542 
True
161 
ValueCountFrequency (%)
False 542
77.1%
True 161
 
22.9%
2023-12-12T22:33:43.314586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

대형폐기물 스티커 판매 여부-이천원권
Boolean

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size835.0 B
False
501 
True
202 
ValueCountFrequency (%)
False 501
71.3%
True 202
28.7%
2023-12-12T22:33:43.447904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

대형폐기물 스티커 판매 여부-삼천원권
Boolean

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size835.0 B
False
569 
True
134 
ValueCountFrequency (%)
False 569
80.9%
True 134
 
19.1%
2023-12-12T22:33:43.556077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

대형폐기물 스티커 판매 여부-사천원권
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size835.0 B
False
638 
True
65 
ValueCountFrequency (%)
False 638
90.8%
True 65
 
9.2%
2023-12-12T22:33:43.678592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

대형폐기물 스티커 판매 여부-오천원권
Boolean

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size835.0 B
False
597 
True
106 
ValueCountFrequency (%)
False 597
84.9%
True 106
 
15.1%
2023-12-12T22:33:43.779871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

대형폐기물 스티커 판매 여부-육천원권
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size835.0 B
False
684 
True
 
19
ValueCountFrequency (%)
False 684
97.3%
True 19
 
2.7%
2023-12-12T22:33:43.872715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

대형폐기물 스티커 판매 여부-칠천원권
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size835.0 B
False
692 
True
 
11
ValueCountFrequency (%)
False 692
98.4%
True 11
 
1.6%
2023-12-12T22:33:43.997914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

대형폐기물 스티커 판매 여부-팔천원권
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size835.0 B
False
678 
True
 
25
ValueCountFrequency (%)
False 678
96.4%
True 25
 
3.6%
2023-12-12T22:33:44.100131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

대형폐기물 스티커 판매 여부-만원권
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size835.0 B
False
674 
True
 
29
ValueCountFrequency (%)
False 674
95.9%
True 29
 
4.1%
2023-12-12T22:33:44.194743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

대형폐기물 스티커 판매 여부-만오천원권
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size835.0 B
False
687 
True
 
16
ValueCountFrequency (%)
False 687
97.7%
True 16
 
2.3%
2023-12-12T22:33:44.322693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

대형폐기물 스티커 판매 여부-이만원권
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size835.0 B
False
699 
True
 
4
ValueCountFrequency (%)
False 699
99.4%
True 4
 
0.6%
2023-12-12T22:33:44.424012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

일반용 종량제 봉투 판매여부-5리터
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size835.0 B
False
641 
True
 
62
ValueCountFrequency (%)
False 641
91.2%
True 62
 
8.8%
2023-12-12T22:33:44.533329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

일반용 종량제 봉투 판매여부-10리터
Boolean

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size835.0 B
False
551 
True
152 
ValueCountFrequency (%)
False 551
78.4%
True 152
 
21.6%
2023-12-12T22:33:44.645781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

일반용 종량제 봉투 판매여부-20리터
Boolean

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size835.0 B
False
436 
True
267 
ValueCountFrequency (%)
False 436
62.0%
True 267
38.0%
2023-12-12T22:33:44.748640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

일반용 종량제 봉투 판매여부-50리터
Boolean

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size835.0 B
True
415 
False
288 
ValueCountFrequency (%)
True 415
59.0%
False 288
41.0%
2023-12-12T22:33:44.877542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

일반용 종량제 봉투 판매여부-75리터
Boolean

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size835.0 B
False
367 
True
336 
ValueCountFrequency (%)
False 367
52.2%
True 336
47.8%
2023-12-12T22:33:44.989697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

일반용 종량제 봉투 판매여부-100리터
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size835.0 B
False
697 
True
 
6
ValueCountFrequency (%)
False 697
99.1%
True 6
 
0.9%
2023-12-12T22:33:45.118343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

재사용 종량제 봉투 판매여부-10리터
Boolean

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size835.0 B
False
490 
True
213 
ValueCountFrequency (%)
False 490
69.7%
True 213
30.3%
2023-12-12T22:33:45.231758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

재사용 종량제 봉투 판매여부-20리터
Boolean

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size835.0 B
True
372 
False
331 
ValueCountFrequency (%)
True 372
52.9%
False 331
47.1%
2023-12-12T22:33:45.341528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

재사용 종량제 봉투 판매여부-30리터
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size835.0 B
False
673 
True
 
30
ValueCountFrequency (%)
False 673
95.7%
True 30
 
4.3%
2023-12-12T22:33:45.446455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

음식물용 종량제 봉투 판매여부-3리터
Boolean

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size835.0 B
False
703 
ValueCountFrequency (%)
False 703
100.0%
2023-12-12T22:33:45.534572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

음식물용 종량제 봉투 판매여부-5리터
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size835.0 B
False
701 
True
 
2
ValueCountFrequency (%)
False 701
99.7%
True 2
 
0.3%
2023-12-12T22:33:45.613761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

1회용 음식물 납부 필증 판매여부-3리터
Boolean

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size835.0 B
False
592 
True
111 
ValueCountFrequency (%)
False 592
84.2%
True 111
 
15.8%
2023-12-12T22:33:45.696150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

1회용 음식물 납부 필증 판매여부-5리터
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size835.0 B
False
640 
True
 
63
ValueCountFrequency (%)
False 640
91.0%
True 63
 
9.0%
2023-12-12T22:33:45.780698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

1회용 음식물 납부 필증 판매여부-10리터
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size835.0 B
False
689 
True
 
14
ValueCountFrequency (%)
False 689
98.0%
True 14
 
2.0%
2023-12-12T22:33:45.869659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

1회용 음식물 납부 필증 판매여부-60리터
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size835.0 B
False
688 
True
 
15
ValueCountFrequency (%)
False 688
97.9%
True 15
 
2.1%
2023-12-12T22:33:45.946598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

1회용 음식물 납부 필증 판매여부-120리터
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size835.0 B
False
630 
True
73 
ValueCountFrequency (%)
False 630
89.6%
True 73
 
10.4%
2023-12-12T22:33:46.022536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

1개월용 음식물 납부 필증 판매여부-20리터
Boolean

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size835.0 B
False
496 
True
207 
ValueCountFrequency (%)
False 496
70.6%
True 207
29.4%
2023-12-12T22:33:46.096568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

1개월용 음식물 납부 필증 판매여부-60리터
Boolean

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size835.0 B
False
560 
True
143 
ValueCountFrequency (%)
False 560
79.7%
True 143
 
20.3%
2023-12-12T22:33:46.169349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

1개월용 음식물 납부 필증 판매여부-120리터
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size835.0 B
False
700 
True
 
3
ValueCountFrequency (%)
False 700
99.6%
True 3
 
0.4%
2023-12-12T22:33:46.252737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

관리부서명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
여수시 환경복지국 도시미화과
703 

Length

Max length15
Median length15
Mean length15
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row여수시 환경복지국 도시미화과
2nd row여수시 환경복지국 도시미화과
3rd row여수시 환경복지국 도시미화과
4th row여수시 환경복지국 도시미화과
5th row여수시 환경복지국 도시미화과

Common Values

ValueCountFrequency (%)
여수시 환경복지국 도시미화과 703
100.0%

Length

2023-12-12T22:33:46.334946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:33:46.408341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여수시 703
33.3%
환경복지국 703
33.3%
도시미화과 703
33.3%

관리부서전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
061-659-3834
703 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row061-659-3834
2nd row061-659-3834
3rd row061-659-3834
4th row061-659-3834
5th row061-659-3834

Common Values

ValueCountFrequency (%)
061-659-3834 703
100.0%

Length

2023-12-12T22:33:46.490150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:33:46.573335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
061-659-3834 703
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
Minimum2023-01-25 00:00:00
Maximum2023-01-25 00:00:00
2023-12-12T22:33:46.633886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:33:46.706408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

번호판매 업체 상호 명판매 업체 소재지도로명주소판매 업체 소재지지번주소판매 업체 위도판매 업체 경도대형폐기물 스티커 판매 여부-천원권대형폐기물 스티커 판매 여부-이천원권대형폐기물 스티커 판매 여부-삼천원권대형폐기물 스티커 판매 여부-사천원권대형폐기물 스티커 판매 여부-오천원권대형폐기물 스티커 판매 여부-육천원권대형폐기물 스티커 판매 여부-칠천원권대형폐기물 스티커 판매 여부-팔천원권대형폐기물 스티커 판매 여부-만원권대형폐기물 스티커 판매 여부-만오천원권대형폐기물 스티커 판매 여부-이만원권일반용 종량제 봉투 판매여부-5리터일반용 종량제 봉투 판매여부-10리터일반용 종량제 봉투 판매여부-20리터일반용 종량제 봉투 판매여부-50리터일반용 종량제 봉투 판매여부-75리터일반용 종량제 봉투 판매여부-100리터재사용 종량제 봉투 판매여부-10리터재사용 종량제 봉투 판매여부-20리터재사용 종량제 봉투 판매여부-30리터음식물용 종량제 봉투 판매여부-3리터음식물용 종량제 봉투 판매여부-5리터1회용 음식물 납부 필증 판매여부-3리터1회용 음식물 납부 필증 판매여부-5리터1회용 음식물 납부 필증 판매여부-10리터1회용 음식물 납부 필증 판매여부-60리터1회용 음식물 납부 필증 판매여부-120리터1개월용 음식물 납부 필증 판매여부-20리터1개월용 음식물 납부 필증 판매여부-60리터1개월용 음식물 납부 필증 판매여부-120리터관리부서명관리부서전화번호데이터기준일자
01삼거리슈퍼돌산읍 방답길 64전라남도 여수시 돌산읍 군내리 25334.616162127.723406NNNNNNNNNNNNNYNNNNNNNNNNNNNYNN여수시 환경복지국 도시미화과061-659-38342023-01-25
12사거리상회돌산읍 계동해안길37전라남도 여수시 돌산읍 평사리 334.665255127.792974NNNNNNNNNNNNNNNNNNNNNNNNNNNYNN여수시 환경복지국 도시미화과061-659-38342023-01-25
23우진슈퍼돌산읍 진두해안길 26-4전라남도 여수시 돌산읍 우두리 799-4134.73248127.738639YYNNNNNNNNNNNYYYNNNNNNNNNNNYNN여수시 환경복지국 도시미화과061-659-38342023-01-25
34부영상회돌산읍 돌산로 654전라남도 여수시 돌산읍 금성리 849-134.59371127.761248NNNNNNNNNNNNNNYYNNNNNNNNNNNNNN여수시 환경복지국 도시미화과061-659-38342023-01-25
45휴게실쇼핑돌산읍 방답길46전라남도 여수시 돌산읍 군내리 446-134.616158127.721619NNNNNNNNNNNNNYNNNNNNNNNNNNNYNN여수시 환경복지국 도시미화과061-659-38342023-01-25
56청솔마트돌산읍 강남8길23전라남도 여수시 돌산읍 우두리 1036-1334.721074127.748844NNYNYNNNNNNNNNYYNYYNNNNNNNNYYN여수시 환경복지국 도시미화과061-659-38342023-01-25
67신명마트청솔점돌산읍 강남동로 45전라남도 여수시 돌산읍 우두리 1087-734.719099127.755857YYNNYNNNNNNNNYNYNNYNNNNNNNNNNN여수시 환경복지국 도시미화과061-659-38342023-01-25
78율림슈퍼돌산읍 향일암로374전라남도 여수시 돌산읍 율림리 444-134.606391127.787452NNNNNNNNNNNNNNNYNNNNNNNNNNNNYN여수시 환경복지국 도시미화과061-659-38342023-01-25
89여수농협우두지점로컬푸드돌산읍 강남4길 55전라남도 여수시 돌산읍 우두리 1026-634.722419127.751983NNNNNNNNNNNNNYYNNNYNNNNNNNNNNN여수시 환경복지국 도시미화과061-659-38342023-01-25
910제일전자잡화돌산읍 망월대길 5전라남도 여수시 돌산읍 군내리 555-534.615322127.722104NNNNNNNNNNNNNYYNNNNNNNNNNNNYNN여수시 환경복지국 도시미화과061-659-38342023-01-25
번호판매 업체 상호 명판매 업체 소재지도로명주소판매 업체 소재지지번주소판매 업체 위도판매 업체 경도대형폐기물 스티커 판매 여부-천원권대형폐기물 스티커 판매 여부-이천원권대형폐기물 스티커 판매 여부-삼천원권대형폐기물 스티커 판매 여부-사천원권대형폐기물 스티커 판매 여부-오천원권대형폐기물 스티커 판매 여부-육천원권대형폐기물 스티커 판매 여부-칠천원권대형폐기물 스티커 판매 여부-팔천원권대형폐기물 스티커 판매 여부-만원권대형폐기물 스티커 판매 여부-만오천원권대형폐기물 스티커 판매 여부-이만원권일반용 종량제 봉투 판매여부-5리터일반용 종량제 봉투 판매여부-10리터일반용 종량제 봉투 판매여부-20리터일반용 종량제 봉투 판매여부-50리터일반용 종량제 봉투 판매여부-75리터일반용 종량제 봉투 판매여부-100리터재사용 종량제 봉투 판매여부-10리터재사용 종량제 봉투 판매여부-20리터재사용 종량제 봉투 판매여부-30리터음식물용 종량제 봉투 판매여부-3리터음식물용 종량제 봉투 판매여부-5리터1회용 음식물 납부 필증 판매여부-3리터1회용 음식물 납부 필증 판매여부-5리터1회용 음식물 납부 필증 판매여부-10리터1회용 음식물 납부 필증 판매여부-60리터1회용 음식물 납부 필증 판매여부-120리터1개월용 음식물 납부 필증 판매여부-20리터1개월용 음식물 납부 필증 판매여부-60리터1개월용 음식물 납부 필증 판매여부-120리터관리부서명관리부서전화번호데이터기준일자
693694백야도할인마트전남 여수시 화정면 백야해안길 49백야리 181-234.618383127.642429NNNNNNNNNNNNYYYYNNYNNNNNNNNNNN여수시 환경복지국 도시미화과061-659-38342023-01-25
694695케이식자재마트전남 여수시 박람회길 56덕충동 204034.753726127.742955YYYNNNNNNNNNNNYNNNYNNNNNNYYNNN여수시 환경복지국 도시미화과061-659-38342023-01-25
695696백야슈퍼전남 여수시 화정면 백야해안길 69백야리 96-534.619913127.6411NNNNNNNNNNNNNNYNNNYNNNNNNNNNNN여수시 환경복지국 도시미화과061-659-38342023-01-25
696697정든슈퍼전남 여수시 남면 금오서부로 446두모리 1419-234.52672127.733379NNNNNNNNNNNYNNNNNNNNNNNNNNNNNN여수시 환경복지국 도시미화과061-659-38342023-01-25
697698미니마트전남 여수시 돌산읍 계동로 560평사리 125034.682502127.775634NNNNNNNNNNNNNNYYNNNNNNNNNNNNNN여수시 환경복지국 도시미화과061-659-38342023-01-25
698699신영마트청솔점전남 여수시 돌산읍 강남동로 45우두리 1087-734.719169127.755802YNNNNNNNNNNNNNYYNYYNNNNNYNNYYN여수시 환경복지국 도시미화과061-659-38342023-01-25
699700원포오션마트전남 여수시 화양면 이목안포로 596안포리 971-134.658167127.622336YYNNYNNNNNNNNNYYNNYNNNNNNNNYYN여수시 환경복지국 도시미화과061-659-38342023-01-25
700701청솔할인마트전남 여수시 돌산읍 강남8길 23우두리 1036-1334.721177127.748877NYNNNNNNNNNNYYNNNNYNNNYYNNYYYN여수시 환경복지국 도시미화과061-659-38342023-01-25
701702정희슈퍼전남 여수시 대교로 33봉산동 244-1134.735483127.724842YYYNYNNNNNNNNNNYNNNNNNNNNNNYNN여수시 환경복지국 도시미화과061-659-38342023-01-25
702703금진마트전남 여수시 좌수영로 11서교동 46434.741415127.727656NNNNNNNNNNNNNNNNNNNNNNNNNNNYYN여수시 환경복지국 도시미화과061-659-38342023-01-25