Overview

Dataset statistics

Number of variables4
Number of observations1728
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory55.8 KiB
Average record size in memory33.1 B

Variable types

Numeric1
Text2
Categorical1

Dataset

Description대전광역시 서구 종량제봉투 지정판매소 현황입니다.(순번, 상호명, 위치정보, 행정동 분류의 정보를 제공합니다.)
URLhttps://www.data.go.kr/data/15104531/fileData.do

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:48:05.886037
Analysis finished2023-12-11 23:48:06.593855
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct1728
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean864.5
Minimum1
Maximum1728
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.3 KiB
2023-12-12T08:48:06.977487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile87.35
Q1432.75
median864.5
Q31296.25
95-th percentile1641.65
Maximum1728
Range1727
Interquartile range (IQR)863.5

Descriptive statistics

Standard deviation498.97495
Coefficient of variation (CV)0.57718328
Kurtosis-1.2
Mean864.5
Median Absolute Deviation (MAD)432
Skewness0
Sum1493856
Variance248976
MonotonicityStrictly increasing
2023-12-12T08:48:07.136026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1150 1
 
0.1%
1161 1
 
0.1%
1160 1
 
0.1%
1159 1
 
0.1%
1158 1
 
0.1%
1157 1
 
0.1%
1156 1
 
0.1%
1155 1
 
0.1%
1154 1
 
0.1%
Other values (1718) 1718
99.4%
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 (%)
1728 1
0.1%
1727 1
0.1%
1726 1
0.1%
1725 1
0.1%
1724 1
0.1%
1723 1
0.1%
1722 1
0.1%
1721 1
0.1%
1720 1
0.1%
1719 1
0.1%

상호
Text

Distinct1659
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
2023-12-12T08:48:07.532086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length8.1724537
Min length1

Characters and Unicode

Total characters14122
Distinct characters507
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1608 ?
Unique (%)93.1%

Sample

1st row월평마트
2nd row월평생필품매장
3rd row월평타운마트
4th row중도할인마트
5th row세븐일레븐 대전월평로점
ValueCountFrequency (%)
세븐일레븐 121
 
5.0%
씨유 120
 
4.9%
이마트24 82
 
3.4%
gs25 80
 
3.3%
지에스25 50
 
2.1%
주식회사 27
 
1.1%
주)코리아세븐 24
 
1.0%
미니스톱 10
 
0.4%
지에스25(gs25 8
 
0.3%
관리사무소 7
 
0.3%
Other values (1677) 1898
78.2%
2023-12-12T08:48:08.079079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
711
 
5.0%
점 672
 
4.8%
마 608
 
4.3%
트 606
 
4.3%
대 453
 
3.2%
전 370
 
2.6%
2 340
 
2.4%
스 298
 
2.1%
븐 282
 
2.0%
아 254
 
1.8%
Other values (497) 9528
67.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12035
85.2%
Decimal Number 746
 
5.3%
Space Separator 711
 
5.0%
Uppercase Letter 312
 
2.2%
Close Punctuation 134
 
0.9%
Open Punctuation 134
 
0.9%
Lowercase Letter 26
 
0.2%
Other Punctuation 11
 
0.1%
Dash Punctuation 9
 
0.1%
Other Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 672
 
5.6%
마 608
 
5.1%
트 606
 
5.0%
대 453
 
3.8%
전 370
 
3.1%
스 298
 
2.5%
븐 282
 
2.3%
아 254
 
2.1%
지 213
 
1.8%
이 210
 
1.7%
Other values (438) 8069
67.0%
Uppercase Letter
ValueCountFrequency (%)
S 115
36.9%
G 110
35.3%
K 15
 
4.8%
C 11
 
3.5%
R 10
 
3.2%
U 7
 
2.2%
D 7
 
2.2%
T 7
 
2.2%
A 6
 
1.9%
Q 3
 
1.0%
Other values (13) 21
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
e 7
26.9%
l 4
15.4%
a 2
 
7.7%
r 2
 
7.7%
o 2
 
7.7%
h 2
 
7.7%
u 2
 
7.7%
p 1
 
3.8%
g 1
 
3.8%
s 1
 
3.8%
Other values (2) 2
 
7.7%
Decimal Number
ValueCountFrequency (%)
2 340
45.6%
5 213
28.6%
4 108
 
14.5%
1 30
 
4.0%
3 16
 
2.1%
9 15
 
2.0%
8 8
 
1.1%
0 8
 
1.1%
6 5
 
0.7%
7 3
 
0.4%
Other Punctuation
ValueCountFrequency (%)
. 3
27.3%
& 2
18.2%
# 1
 
9.1%
， 1
 
9.1%
! 1
 
9.1%
, 1
 
9.1%
? 1
 
9.1%
* 1
 
9.1%
Space Separator
ValueCountFrequency (%)
711
100.0%
Close Punctuation
ValueCountFrequency (%)
) 134
100.0%
Open Punctuation
ValueCountFrequency (%)
( 134
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12038
85.2%
Common 1746
 
12.4%
Latin 338
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 672
 
5.6%
마 608
 
5.1%
트 606
 
5.0%
대 453
 
3.8%
전 370
 
3.1%
스 298
 
2.5%
븐 282
 
2.3%
아 254
 
2.1%
지 213
 
1.8%
이 210
 
1.7%
Other values (439) 8072
67.1%
Latin
ValueCountFrequency (%)
S 115
34.0%
G 110
32.5%
K 15
 
4.4%
C 11
 
3.3%
R 10
 
3.0%
U 7
 
2.1%
D 7
 
2.1%
T 7
 
2.1%
e 7
 
2.1%
A 6
 
1.8%
Other values (25) 43
 
12.7%
Common
ValueCountFrequency (%)
711
40.7%
2 340
19.5%
5 213
 
12.2%
) 134
 
7.7%
( 134
 
7.7%
4 108
 
6.2%
1 30
 
1.7%
3 16
 
0.9%
9 15
 
0.9%
- 9
 
0.5%
Other values (13) 36
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12035
85.2%
ASCII 2083
 
14.8%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
711
34.1%
2 340
16.3%
5 213
 
10.2%
) 134
 
6.4%
( 134
 
6.4%
S 115
 
5.5%
G 110
 
5.3%
4 108
 
5.2%
1 30
 
1.4%
3 16
 
0.8%
Other values (47) 172
 
8.3%
Hangul
ValueCountFrequency (%)
점 672
 
5.6%
마 608
 
5.1%
트 606
 
5.0%
대 453
 
3.8%
전 370
 
3.1%
스 298
 
2.5%
븐 282
 
2.3%
아 254
 
2.1%
지 213
 
1.8%
이 210
 
1.7%
Other values (438) 8069
67.0%
None
ValueCountFrequency (%)
㈜ 3
75.0%
， 1
 
25.0%

위치
Text

Distinct1707
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
2023-12-12T08:48:08.369164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length37
Mean length13.023727
Min length3

Characters and Unicode

Total characters22505
Distinct characters324
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1688 ?
Unique (%)97.7%

Sample

1st row월평1동19-37
2nd row월평1동324
3rd row월평1동19-6
4th row월평중로14번길 18(월평동)
5th row월평로14번길 7
ValueCountFrequency (%)
1층 189
 
4.9%
서구 67
 
1.7%
탄방동 45
 
1.2%
괴정동 39
 
1.0%
둔산동 36
 
0.9%
101호 35
 
0.9%
상가동 29
 
0.7%
중구 28
 
0.7%
복수동 26
 
0.7%
용문동 25
 
0.6%
Other values (2101) 3352
86.6%
2023-12-12T08:48:08.780096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2365
 
10.5%
2161
 
9.6%
동 1359
 
6.0%
2 1116
 
5.0%
0 819
 
3.6%
로 800
 
3.6%
3 762
 
3.4%
4 635
 
2.8%
- 606
 
2.7%
5 583
 
2.6%
Other values (314) 11299
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10252
45.6%
Decimal Number 8246
36.6%
Space Separator 2161
 
9.6%
Dash Punctuation 606
 
2.7%
Other Punctuation 568
 
2.5%
Open Punctuation 323
 
1.4%
Close Punctuation 319
 
1.4%
Uppercase Letter 17
 
0.1%
Math Symbol 10
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1359
 
13.3%
로 800
 
7.8%
번 484
 
4.7%
마 387
 
3.8%
길 355
 
3.5%
층 348
 
3.4%
호 330
 
3.2%
도 325
 
3.2%
산 289
 
2.8%
가 267
 
2.6%
Other values (286) 5308
51.8%
Decimal Number
ValueCountFrequency (%)
1 2365
28.7%
2 1116
13.5%
0 819
 
9.9%
3 762
 
9.2%
4 635
 
7.7%
5 583
 
7.1%
6 535
 
6.5%
8 495
 
6.0%
9 477
 
5.8%
7 459
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
B 8
47.1%
F 2
 
11.8%
S 2
 
11.8%
A 1
 
5.9%
H 1
 
5.9%
L 1
 
5.9%
K 1
 
5.9%
O 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 559
98.4%
@ 8
 
1.4%
/ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
2161
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 606
100.0%
Open Punctuation
ValueCountFrequency (%)
( 323
100.0%
Close Punctuation
ValueCountFrequency (%)
) 319
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12234
54.4%
Hangul 10252
45.6%
Latin 19
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1359
 
13.3%
로 800
 
7.8%
번 484
 
4.7%
마 387
 
3.8%
길 355
 
3.5%
층 348
 
3.4%
호 330
 
3.2%
도 325
 
3.2%
산 289
 
2.8%
가 267
 
2.6%
Other values (286) 5308
51.8%
Common
ValueCountFrequency (%)
1 2365
19.3%
2161
17.7%
2 1116
9.1%
0 819
 
6.7%
3 762
 
6.2%
4 635
 
5.2%
- 606
 
5.0%
5 583
 
4.8%
, 559
 
4.6%
6 535
 
4.4%
Other values (9) 2093
17.1%
Latin
ValueCountFrequency (%)
B 8
42.1%
e 2
 
10.5%
F 2
 
10.5%
S 2
 
10.5%
A 1
 
5.3%
H 1
 
5.3%
L 1
 
5.3%
K 1
 
5.3%
O 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12253
54.4%
Hangul 10252
45.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2365
19.3%
2161
17.6%
2 1116
9.1%
0 819
 
6.7%
3 762
 
6.2%
4 635
 
5.2%
- 606
 
4.9%
5 583
 
4.8%
, 559
 
4.6%
6 535
 
4.4%
Other values (18) 2112
17.2%
Hangul
ValueCountFrequency (%)
동 1359
 
13.3%
로 800
 
7.8%
번 484
 
4.7%
마 387
 
3.8%
길 355
 
3.5%
층 348
 
3.4%
호 330
 
3.2%
도 325
 
3.2%
산 289
 
2.8%
가 267
 
2.6%
Other values (286) 5308
51.8%

행정동
Categorical

Distinct26
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
탄방동
142 
둔산2동
 
108
괴정동
 
107
도마1동
 
106
가수원동
 
105
Other values (21)
1160 

Length

Max length7
Median length4
Mean length3.6371528
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row월평1동
2nd row월평1동
3rd row월평1동
4th row월평1동
5th row월평1동

Common Values

ValueCountFrequency (%)
탄방동 142
 
8.2%
둔산2동 108
 
6.2%
괴정동 107
 
6.2%
도마1동 106
 
6.1%
가수원동 105
 
6.1%
갈마1동 96
 
5.6%
월평1동 92
 
5.3%
기타(관외) 88
 
5.1%
도마2동 84
 
4.9%
갈마2동 81
 
4.7%
Other values (16) 719
41.6%

Length

2023-12-12T08:48:08.935973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
탄방동 142
 
8.2%
둔산2동 108
 
6.2%
괴정동 107
 
6.2%
도마1동 106
 
6.1%
가수원동 105
 
6.1%
갈마1동 96
 
5.6%
월평1동 92
 
5.3%
기타(관외 88
 
5.1%
도마2동 84
 
4.9%
갈마2동 81
 
4.7%
Other values (16) 719
41.6%

Interactions

2023-12-12T08:48:06.346857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:48:09.030396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번행정동
순번1.0000.770
행정동0.7701.000
2023-12-12T08:48:09.123117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번행정동
순번1.0000.406
행정동0.4061.000

Missing values

2023-12-12T08:48:06.469386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:48:06.560999image/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

순번상호위치행정동
01월평마트월평1동19-37월평1동
12월평생필품매장월평1동324월평1동
23월평타운마트월평1동19-6월평1동
34중도할인마트월평중로14번길 18(월평동)월평1동
45세븐일레븐 대전월평로점월평로14번길 7월평1동
56세븐일레븐 월평2호점월평1동850월평1동
67코리아세븐 월평3호점월평1동635월평1동
78큐마트월평1동1131월평1동
89서라벌마트월평1동1012월평1동
910텐미닛마트월평1동 1186번지 1층월평1동
순번상호위치행정동
17181719이마트24 대전도마포레나점도산로 8, 단지내상가 2동 101호(e편한세상 포레나)도마1동
17191720씨유 배재대생활관점배재로 155-40, 국제언어생활관 지하1층(배재대학교)도마2동
17201721세븐일레븐 도안우리점원도안로179번길 76-3, 1층도안동
17211722(주)코리아세븐 대전관저프라자점관저로 23, 106~107호관저2동
17221723씨유 대전도마포레나점도마동 179-39, 도마e편한세상 포레나 상가동 101호도마1동
17231724지에스25 관저빌리지점계백로860번길 43, 101,102호관저2동
17241725이마트24 대전괴정타운점계룡로584번길 69, 1층괴정동
17251726둔산 농산물 직판장둔산로 236, 1층둔산3동
17261727제이에스허브대덕구 대화로106번길 66, 503호기타(관외)
17271728유통통원도안로 51, 111호도안동