Overview

Dataset statistics

Number of variables4
Number of observations663
Missing cells2
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.5 KiB
Average record size in memory33.2 B

Variable types

Numeric1
Text2
Categorical1

Dataset

Description송파구 종량제봉투 판매소와 관련하여 2023년 3월 기준 해당 동별로 지정되어 있는 판매소 현황을 제공합니다.(판매업소명, 행정동, 도로명주소)
URLhttps://www.data.go.kr/data/15113044/fileData.do

Alerts

연번 is highly overall correlated with 행정동High correlation
행정동 is highly overall correlated with 연번High correlation

Reproduction

Analysis started2023-12-12 08:58:45.775668
Analysis finished2023-12-12 08:58:46.505995
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION 

Distinct661
Distinct (%)100.0%
Missing2
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean331.83661
Minimum1
Maximum663
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2023-12-12T17:58:46.605948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile34
Q1166
median332
Q3497
95-th percentile630
Maximum663
Range662
Interquartile range (IQR)331

Descriptive statistics

Standard deviation191.65662
Coefficient of variation (CV)0.5775632
Kurtosis-1.200603
Mean331.83661
Median Absolute Deviation (MAD)166
Skewness0.0012036318
Sum219344
Variance36732.258
MonotonicityStrictly increasing
2023-12-12T17:58:47.093816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
437 1
 
0.2%
439 1
 
0.2%
440 1
 
0.2%
441 1
 
0.2%
442 1
 
0.2%
443 1
 
0.2%
444 1
 
0.2%
445 1
 
0.2%
446 1
 
0.2%
447 1
 
0.2%
Other values (651) 651
98.2%
(Missing) 2
 
0.3%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
663 1
0.2%
662 1
0.2%
661 1
0.2%
660 1
0.2%
659 1
0.2%
658 1
0.2%
657 1
0.2%
656 1
0.2%
655 1
0.2%
654 1
0.2%

판매업소명
Text

Distinct658
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2023-12-12T17:58:47.370276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length9.0799397
Min length3

Characters and Unicode

Total characters6020
Distinct characters360
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

Unique653 ?
Unique (%)98.5%

Sample

1st row세븐일레븐 송파헬리오점
2nd row㈜코리아세븐 송파헬리오2호점
3rd row씨유 헬리오시티 1호점
4th row씨유헬리오시티4블록점
5th row초록마을 헬리오시티점
ValueCountFrequency (%)
gs25 66
 
6.4%
cu 64
 
6.2%
세븐일레븐 45
 
4.3%
이마트24 25
 
2.4%
쎄븐일레븐 23
 
2.2%
지에스25 22
 
2.1%
씨유편의점 18
 
1.7%
씨유 16
 
1.5%
㈜코리아세븐 11
 
1.1%
미니스톱 8
 
0.8%
Other values (677) 737
71.2%
2023-12-12T17:58:47.881009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 391
 
6.5%
386
 
6.4%
븐 188
 
3.1%
마 185
 
3.1%
2 181
 
3.0%
트 159
 
2.6%
파 134
 
2.2%
5 128
 
2.1%
이 128
 
2.1%
스 126
 
2.1%
Other values (350) 4014
66.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4722
78.4%
Space Separator 386
 
6.4%
Decimal Number 381
 
6.3%
Uppercase Letter 378
 
6.3%
Lowercase Letter 44
 
0.7%
Close Punctuation 39
 
0.6%
Open Punctuation 38
 
0.6%
Other Symbol 25
 
0.4%
Dash Punctuation 3
 
< 0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 391
 
8.3%
븐 188
 
4.0%
마 185
 
3.9%
트 159
 
3.4%
파 134
 
2.8%
이 128
 
2.7%
스 126
 
2.7%
송 108
 
2.3%
레 104
 
2.2%
일 104
 
2.2%
Other values (305) 3095
65.5%
Uppercase Letter
ValueCountFrequency (%)
S 94
24.9%
G 90
23.8%
C 79
20.9%
U 77
20.4%
E 7
 
1.9%
R 6
 
1.6%
T 4
 
1.1%
A 3
 
0.8%
H 3
 
0.8%
F 3
 
0.8%
Other values (8) 12
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
c 7
15.9%
u 7
15.9%
s 5
11.4%
t 4
9.1%
r 4
9.1%
m 4
9.1%
e 4
9.1%
a 4
9.1%
g 4
9.1%
h 1
 
2.3%
Decimal Number
ValueCountFrequency (%)
2 181
47.5%
5 128
33.6%
4 44
 
11.5%
1 17
 
4.5%
3 4
 
1.0%
9 3
 
0.8%
0 3
 
0.8%
7 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
. 1
33.3%
, 1
33.3%
& 1
33.3%
Space Separator
ValueCountFrequency (%)
386
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
> 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4747
78.9%
Common 851
 
14.1%
Latin 422
 
7.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 391
 
8.2%
븐 188
 
4.0%
마 185
 
3.9%
트 159
 
3.3%
파 134
 
2.8%
이 128
 
2.7%
스 126
 
2.7%
송 108
 
2.3%
레 104
 
2.2%
일 104
 
2.2%
Other values (306) 3120
65.7%
Latin
ValueCountFrequency (%)
S 94
22.3%
G 90
21.3%
C 79
18.7%
U 77
18.2%
c 7
 
1.7%
u 7
 
1.7%
E 7
 
1.7%
R 6
 
1.4%
s 5
 
1.2%
t 4
 
0.9%
Other values (18) 46
10.9%
Common
ValueCountFrequency (%)
386
45.4%
2 181
21.3%
5 128
 
15.0%
4 44
 
5.2%
) 39
 
4.6%
( 38
 
4.5%
1 17
 
2.0%
3 4
 
0.5%
9 3
 
0.4%
- 3
 
0.4%
Other values (6) 8
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4722
78.4%
ASCII 1273
 
21.1%
None 25
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 391
 
8.3%
븐 188
 
4.0%
마 185
 
3.9%
트 159
 
3.4%
파 134
 
2.8%
이 128
 
2.7%
스 126
 
2.7%
송 108
 
2.3%
레 104
 
2.2%
일 104
 
2.2%
Other values (305) 3095
65.5%
ASCII
ValueCountFrequency (%)
386
30.3%
2 181
14.2%
5 128
 
10.1%
S 94
 
7.4%
G 90
 
7.1%
C 79
 
6.2%
U 77
 
6.0%
4 44
 
3.5%
) 39
 
3.1%
( 38
 
3.0%
Other values (34) 117
 
9.2%
None
ValueCountFrequency (%)
㈜ 25
100.0%

행정동
Categorical

HIGH CORRELATION 

Distinct27
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
잠실본동
55 
문정2동
49 
오금동
47 
석촌동
46 
방이2동
46 
Other values (22)
420 

Length

Max length4
Median length4
Mean length3.7104072
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가락1동
2nd row가락1동
3rd row가락1동
4th row가락1동
5th row가락1동

Common Values

ValueCountFrequency (%)
잠실본동 55
 
8.3%
문정2동 49
 
7.4%
오금동 47
 
7.1%
석촌동 46
 
6.9%
방이2동 46
 
6.9%
가락본동 41
 
6.2%
삼전동 39
 
5.9%
송파1동 33
 
5.0%
위례동 30
 
4.5%
가락2동 30
 
4.5%
Other values (17) 247
37.3%

Length

2023-12-12T17:58:48.031959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
잠실본동 55
 
8.3%
문정2동 49
 
7.4%
오금동 47
 
7.1%
석촌동 46
 
6.9%
방이2동 46
 
6.9%
가락본동 41
 
6.2%
삼전동 39
 
5.9%
송파1동 33
 
5.0%
위례동 30
 
4.5%
가락2동 30
 
4.5%
Other values (17) 247
37.3%

도로명주소
Text

Distinct630
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2023-12-12T17:58:48.344950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length32
Mean length20.92006
Min length10

Characters and Unicode

Total characters13870
Distinct characters134
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

Unique609 ?
Unique (%)91.9%

Sample

1st row서울특별시 송파구 헬리오시티1A상가
2nd row서울특별시 송파구 헬리오시티상가 002A동
3rd row서울특별시 송파구 송파대로 345
4th row서울특별시 송파구 송파대로 345
5th row서울특별시 송파구 송파대로345 001A동
ValueCountFrequency (%)
송파구 683
24.8%
서울특별시 664
24.1%
백제고분로 39
 
1.4%
오금로 29
 
1.1%
올림픽로 25
 
0.9%
송파대로 24
 
0.9%
3 17
 
0.6%
6 17
 
0.6%
마천로 15
 
0.5%
8 14
 
0.5%
Other values (687) 1224
44.5%
2023-12-12T17:58:48.931241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2115
 
15.2%
송 774
 
5.6%
파 748
 
5.4%
구 684
 
4.9%
서 669
 
4.8%
시 667
 
4.8%
울 665
 
4.8%
별 664
 
4.8%
특 664
 
4.8%
로 647
 
4.7%
Other values (124) 5573
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8783
63.3%
Decimal Number 2592
 
18.7%
Space Separator 2115
 
15.2%
Close Punctuation 110
 
0.8%
Open Punctuation 110
 
0.8%
Dash Punctuation 106
 
0.8%
Other Punctuation 29
 
0.2%
Uppercase Letter 24
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
송 774
 
8.8%
파 748
 
8.5%
구 684
 
7.8%
서 669
 
7.6%
시 667
 
7.6%
울 665
 
7.6%
별 664
 
7.6%
특 664
 
7.6%
로 647
 
7.4%
길 408
 
4.6%
Other values (100) 2193
25.0%
Decimal Number
ValueCountFrequency (%)
1 546
21.1%
2 418
16.1%
3 329
12.7%
4 273
10.5%
5 214
 
8.3%
6 179
 
6.9%
8 172
 
6.6%
7 166
 
6.4%
0 160
 
6.2%
9 135
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
A 11
45.8%
B 5
20.8%
C 3
 
12.5%
E 2
 
8.3%
D 1
 
4.2%
G 1
 
4.2%
S 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 26
89.7%
. 3
 
10.3%
Space Separator
ValueCountFrequency (%)
2115
100.0%
Close Punctuation
ValueCountFrequency (%)
) 110
100.0%
Open Punctuation
ValueCountFrequency (%)
( 110
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 106
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8783
63.3%
Common 5063
36.5%
Latin 24
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
송 774
 
8.8%
파 748
 
8.5%
구 684
 
7.8%
서 669
 
7.6%
시 667
 
7.6%
울 665
 
7.6%
별 664
 
7.6%
특 664
 
7.6%
로 647
 
7.4%
길 408
 
4.6%
Other values (100) 2193
25.0%
Common
ValueCountFrequency (%)
2115
41.8%
1 546
 
10.8%
2 418
 
8.3%
3 329
 
6.5%
4 273
 
5.4%
5 214
 
4.2%
6 179
 
3.5%
8 172
 
3.4%
7 166
 
3.3%
0 160
 
3.2%
Other values (7) 491
 
9.7%
Latin
ValueCountFrequency (%)
A 11
45.8%
B 5
20.8%
C 3
 
12.5%
E 2
 
8.3%
D 1
 
4.2%
G 1
 
4.2%
S 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8783
63.3%
ASCII 5087
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2115
41.6%
1 546
 
10.7%
2 418
 
8.2%
3 329
 
6.5%
4 273
 
5.4%
5 214
 
4.2%
6 179
 
3.5%
8 172
 
3.4%
7 166
 
3.3%
0 160
 
3.1%
Other values (14) 515
 
10.1%
Hangul
ValueCountFrequency (%)
송 774
 
8.8%
파 748
 
8.5%
구 684
 
7.8%
서 669
 
7.6%
시 667
 
7.6%
울 665
 
7.6%
별 664
 
7.6%
특 664
 
7.6%
로 647
 
7.4%
길 408
 
4.6%
Other values (100) 2193
25.0%

Interactions

2023-12-12T17:58:46.175718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:58:49.050010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동
연번1.0000.983
행정동0.9831.000
2023-12-12T17:58:49.142275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동
연번1.0000.881
행정동0.8811.000

Missing values

2023-12-12T17:58:46.357479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:58:46.460726image/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

연번판매업소명행정동도로명주소
01세븐일레븐 송파헬리오점가락1동서울특별시 송파구 헬리오시티1A상가
12㈜코리아세븐 송파헬리오2호점가락1동서울특별시 송파구 헬리오시티상가 002A동
23씨유 헬리오시티 1호점가락1동서울특별시 송파구 송파대로 345
34씨유헬리오시티4블록점가락1동서울특별시 송파구 송파대로 345
45초록마을 헬리오시티점가락1동서울특별시 송파구 송파대로345 001A동
56(주)이마트에브리데이 송파점가락1동서울특별시 송파구 송파대로 345, 1블록 A동
67G마트가락2동서울특별시 송파구 중대로150
78GS25 가락제일점가락2동서울특별시 송파구 동남로13길 50
89이마트24 R문정로데오점가락2동서울특별시 송파구 송이로 171
910혜성슈퍼가락2동서울특별시 송파구 송이로27길 9
연번판매업소명행정동도로명주소
653654씨유풍납우성점풍납2동서울특별시 송파구 토성로15길 3-3
654655씨유풍납풍성로점풍납2동서울특별시 송파구 풍서로6길 15
655656이마트24잠실아이파크풍납2동서울특별시 송파구 강동대로 74
656657지에스25풍납리버빌풍납2동서울특별시 송파구 풍성로24길 42
657658지에스25풍납사랑점풍납2동서울특별시 송파구 풍성로 32
658659지에스25풍납퍼스트점풍납2동서울특별시 송파구 토성로 26
659660지에스25풍납현대풍납2동서울특별시 송파구 풍성로20길 9
660661하나마트송파점풍납2동서울특별시 송파구 토성로19
661662홈플러스풍납점풍납2동서울특별시 송파구 올림픽로51길 30
662663현대그린푸드수퍼풍납2동서울특별시 송파구 올림픽로43길 88