Overview

Dataset statistics

Number of variables6
Number of observations623
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.9 KiB
Average record size in memory49.2 B

Variable types

Numeric1
Categorical3
Text2

Dataset

Description서울특별시 강서구 의류수거함 위치현황에 대한 데이터 정보로연번, 행정동, 관리번호, 설치장소, 관리단체, 데이터기준일자 정보를 제공합니다.
Author서울특별시 강서구
URLhttps://www.data.go.kr/data/15127065/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
관리단체 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
행정동 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 is highly overall correlated with 행정동 and 1 other fieldsHigh correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-23 05:22:08.621774
Analysis finished2024-03-23 05:22:14.227708
Duration5.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct623
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean312
Minimum1
Maximum623
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 KiB
2024-03-23T05:22:14.504430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile32.1
Q1156.5
median312
Q3467.5
95-th percentile591.9
Maximum623
Range622
Interquartile range (IQR)311

Descriptive statistics

Standard deviation179.98889
Coefficient of variation (CV)0.57688746
Kurtosis-1.2
Mean312
Median Absolute Deviation (MAD)156
Skewness0
Sum194376
Variance32396
MonotonicityStrictly increasing
2024-03-23T05:22:14.935030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
420 1
 
0.2%
413 1
 
0.2%
414 1
 
0.2%
415 1
 
0.2%
416 1
 
0.2%
417 1
 
0.2%
418 1
 
0.2%
419 1
 
0.2%
421 1
 
0.2%
Other values (613) 613
98.4%
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 (%)
623 1
0.2%
622 1
0.2%
621 1
0.2%
620 1
0.2%
619 1
0.2%
618 1
0.2%
617 1
0.2%
616 1
0.2%
615 1
0.2%
614 1
0.2%

행정동
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
화곡4동
73 
화곡1동
68 
우장산동
67 
공항동
50 
화곡8동
46 
Other values (11)
319 

Length

Max length4
Median length4
Mean length3.8860353
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row화곡1동
2nd row화곡1동
3rd row화곡1동
4th row화곡1동
5th row화곡1동

Common Values

ValueCountFrequency (%)
화곡4동 73
11.7%
화곡1동 68
10.9%
우장산동 67
10.8%
공항동 50
8.0%
화곡8동 46
 
7.4%
화곡2동 45
 
7.2%
등촌1동 45
 
7.2%
등촌2동 39
 
6.3%
방화2동 39
 
6.3%
발산1동 30
 
4.8%
Other values (6) 121
19.4%

Length

2024-03-23T05:22:15.452980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화곡4동 73
11.7%
화곡1동 68
10.9%
우장산동 67
10.8%
공항동 50
8.0%
화곡8동 46
 
7.4%
화곡2동 45
 
7.2%
등촌1동 45
 
7.2%
등촌2동 39
 
6.3%
방화2동 39
 
6.3%
발산1동 30
 
4.8%
Other values (6) 121
19.4%

관리번호
Text

Distinct619
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2024-03-23T05:22:16.279740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5.1845907
Min length3

Characters and Unicode

Total characters3230
Distinct characters29
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

Unique618 ?
Unique (%)99.2%

Sample

1st row화곡1-01
2nd row화곡1-02
3rd row화곡1-03
4th row화곡1-04
5th row화곡1-05
ValueCountFrequency (%)
미지정 5
 
0.8%
우장산57 1
 
0.2%
우장산51 1
 
0.2%
우장산66 1
 
0.2%
우장산52 1
 
0.2%
우장산53 1
 
0.2%
우장산54 1
 
0.2%
우장산55 1
 
0.2%
우장산56 1
 
0.2%
우장산58 1
 
0.2%
Other values (609) 609
97.8%
2024-03-23T05:22:17.903978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 518
16.0%
1 384
11.9%
2 309
 
9.6%
화 253
 
7.8%
3 198
 
6.1%
4 193
 
6.0%
곡 184
 
5.7%
0 171
 
5.3%
8 101
 
3.1%
5 97
 
3.0%
Other values (19) 822
25.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1657
51.3%
Other Letter 1055
32.7%
Dash Punctuation 518
 
16.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
화 253
24.0%
곡 184
17.4%
등 92
 
8.7%
방 80
 
7.6%
우 67
 
6.4%
장 67
 
6.4%
산 67
 
6.4%
공 50
 
4.7%
항 50
 
4.7%
발 30
 
2.8%
Other values (8) 115
10.9%
Decimal Number
ValueCountFrequency (%)
1 384
23.2%
2 309
18.6%
3 198
11.9%
4 193
11.6%
0 171
10.3%
8 101
 
6.1%
5 97
 
5.9%
6 88
 
5.3%
7 61
 
3.7%
9 55
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 518
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2175
67.3%
Hangul 1055
32.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
화 253
24.0%
곡 184
17.4%
등 92
 
8.7%
방 80
 
7.6%
우 67
 
6.4%
장 67
 
6.4%
산 67
 
6.4%
공 50
 
4.7%
항 50
 
4.7%
발 30
 
2.8%
Other values (8) 115
10.9%
Common
ValueCountFrequency (%)
- 518
23.8%
1 384
17.7%
2 309
14.2%
3 198
 
9.1%
4 193
 
8.9%
0 171
 
7.9%
8 101
 
4.6%
5 97
 
4.5%
6 88
 
4.0%
7 61
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2175
67.3%
Hangul 1055
32.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 518
23.8%
1 384
17.7%
2 309
14.2%
3 198
 
9.1%
4 193
 
8.9%
0 171
 
7.9%
8 101
 
4.6%
5 97
 
4.5%
6 88
 
4.0%
7 61
 
2.8%
Hangul
ValueCountFrequency (%)
화 253
24.0%
곡 184
17.4%
등 92
 
8.7%
방 80
 
7.6%
우 67
 
6.4%
장 67
 
6.4%
산 67
 
6.4%
공 50
 
4.7%
항 50
 
4.7%
발 30
 
2.8%
Other values (8) 115
10.9%

설치장소
Text

Distinct611
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2024-03-23T05:22:18.650797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length19.889246
Min length14

Characters and Unicode

Total characters12391
Distinct characters78
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique599 ?
Unique (%)96.1%

Sample

1st row서울특별시 강서구 화곡로26가길28
2nd row서울특별시 강서구 화곡로24길28
3rd row서울특별시 강서구 강서로31길 33
4th row서울특별시 강서구 강서로31길 33
5th row서울특별시 강서구 강서로31길27
ValueCountFrequency (%)
서울특별시 623
27.3%
강서구 611
26.7%
강서로 24
 
1.0%
등촌로 20
 
0.9%
공항대로 16
 
0.7%
금낭화로 12
 
0.5%
양천로 11
 
0.5%
화곡로66길 10
 
0.4%
24 8
 
0.3%
방화대로 8
 
0.3%
Other values (638) 943
41.3%
2024-03-23T05:22:20.200511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1664
 
13.4%
서 1367
 
11.0%
강 744
 
6.0%
로 623
 
5.0%
울 623
 
5.0%
시 623
 
5.0%
별 623
 
5.0%
특 623
 
5.0%
구 622
 
5.0%
길 575
 
4.6%
Other values (68) 4304
34.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7955
64.2%
Decimal Number 2587
 
20.9%
Space Separator 1664
 
13.4%
Dash Punctuation 158
 
1.3%
Other Punctuation 21
 
0.2%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1367
17.2%
강 744
9.4%
로 623
7.8%
울 623
7.8%
시 623
7.8%
별 623
7.8%
특 623
7.8%
구 622
7.8%
길 575
7.2%
화 132
 
1.7%
Other values (53) 1400
17.6%
Decimal Number
ValueCountFrequency (%)
1 506
19.6%
3 363
14.0%
2 326
12.6%
5 293
11.3%
4 290
11.2%
7 201
 
7.8%
6 199
 
7.7%
8 165
 
6.4%
9 141
 
5.5%
0 103
 
4.0%
Space Separator
ValueCountFrequency (%)
1664
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 158
100.0%
Other Punctuation
ValueCountFrequency (%)
? 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7955
64.2%
Common 4436
35.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1367
17.2%
강 744
9.4%
로 623
7.8%
울 623
7.8%
시 623
7.8%
별 623
7.8%
특 623
7.8%
구 622
7.8%
길 575
7.2%
화 132
 
1.7%
Other values (53) 1400
17.6%
Common
ValueCountFrequency (%)
1664
37.5%
1 506
 
11.4%
3 363
 
8.2%
2 326
 
7.3%
5 293
 
6.6%
4 290
 
6.5%
7 201
 
4.5%
6 199
 
4.5%
8 165
 
3.7%
- 158
 
3.6%
Other values (5) 271
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7955
64.2%
ASCII 4436
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1664
37.5%
1 506
 
11.4%
3 363
 
8.2%
2 326
 
7.3%
5 293
 
6.6%
4 290
 
6.5%
7 201
 
4.5%
6 199
 
4.5%
8 165
 
3.7%
- 158
 
3.6%
Other values (5) 271
 
6.1%
Hangul
ValueCountFrequency (%)
서 1367
17.2%
강 744
9.4%
로 623
7.8%
울 623
7.8%
시 623
7.8%
별 623
7.8%
특 623
7.8%
구 622
7.8%
길 575
7.2%
화 132
 
1.7%
Other values (53) 1400
17.6%

관리단체
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
한국의류자원순환 사회적협동조합 강서지사
185 
(사)열린정보장애인협회
178 
서울시 재활용의류 협동조합
160 
강서구 의류자원순환협회
100 

Length

Max length21
Median length14
Mean length15.186196
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row한국의류자원순환 사회적협동조합 강서지사
2nd row한국의류자원순환 사회적협동조합 강서지사
3rd row한국의류자원순환 사회적협동조합 강서지사
4th row한국의류자원순환 사회적협동조합 강서지사
5th row한국의류자원순환 사회적협동조합 강서지사

Common Values

ValueCountFrequency (%)
한국의류자원순환 사회적협동조합 강서지사 185
29.7%
(사)열린정보장애인협회 178
28.6%
서울시 재활용의류 협동조합 160
25.7%
강서구 의류자원순환협회 100
16.1%

Length

2024-03-23T05:22:20.733723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T05:22:21.053622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국의류자원순환 185
13.1%
사회적협동조합 185
13.1%
강서지사 185
13.1%
사)열린정보장애인협회 178
12.6%
서울시 160
11.3%
재활용의류 160
11.3%
협동조합 160
11.3%
강서구 100
7.1%
의류자원순환협회 100
7.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2024-03-08
623 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-08
2nd row2024-03-08
3rd row2024-03-08
4th row2024-03-08
5th row2024-03-08

Common Values

ValueCountFrequency (%)
2024-03-08 623
100.0%

Length

2024-03-23T05:22:21.516648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T05:22:21.833741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-08 623
100.0%

Interactions

2024-03-23T05:22:12.945967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T05:22:22.028895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동관리단체
연번1.0000.9740.979
행정동0.9741.0001.000
관리단체0.9791.0001.000
2024-03-23T05:22:22.398963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리단체행정동
관리단체1.0000.990
행정동0.9901.000
2024-03-23T05:22:22.783639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동관리단체
연번1.0000.8750.924
행정동0.8751.0000.990
관리단체0.9240.9901.000

Missing values

2024-03-23T05:22:13.464356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T05:22:14.021757image/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

연번행정동관리번호설치장소관리단체데이터기준일자
01화곡1동화곡1-01서울특별시 강서구 화곡로26가길28한국의류자원순환 사회적협동조합 강서지사2024-03-08
12화곡1동화곡1-02서울특별시 강서구 화곡로24길28한국의류자원순환 사회적협동조합 강서지사2024-03-08
23화곡1동화곡1-03서울특별시 강서구 강서로31길 33한국의류자원순환 사회적협동조합 강서지사2024-03-08
34화곡1동화곡1-04서울특별시 강서구 강서로31길 33한국의류자원순환 사회적협동조합 강서지사2024-03-08
45화곡1동화곡1-05서울특별시 강서구 강서로31길27한국의류자원순환 사회적협동조합 강서지사2024-03-08
56화곡1동화곡1-06서울특별시 강서구 강서로31길27한국의류자원순환 사회적협동조합 강서지사2024-03-08
67화곡1동화곡1-07서울특별시 강서구 강서로21길28-28한국의류자원순환 사회적협동조합 강서지사2024-03-08
78화곡1동화곡1-08서울특별시 강서구 가로공원로89길21한국의류자원순환 사회적협동조합 강서지사2024-03-08
89화곡1동화곡1-09서울특별시 강서구 가로공원로219-11한국의류자원순환 사회적협동조합 강서지사2024-03-08
910화곡1동화곡1-10서울특별시 강서구 가로공원로221-1한국의류자원순환 사회적협동조합 강서지사2024-03-08
연번행정동관리번호설치장소관리단체데이터기준일자
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