Overview

Dataset statistics

Number of variables4
Number of observations45
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory34.9 B

Variable types

Categorical2
Text1
DateTime1

Dataset

Description서울특별시 강서구 폐형광등 폐건전지 분리수거함 위치, 관리부서등 정보 제공
Author서울특별시 강서구
URLhttps://www.data.go.kr/data/15038107/fileData.do

Alerts

담당부서 has constant value ""Constant
기준일 has constant value ""Constant
설치위치 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:36:18.424029
Analysis finished2023-12-12 19:36:18.686665
Duration0.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정동
Categorical

Distinct20
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
염창동
5 
화곡1동
5 
공항동
4 
방화2동
3 
화곡본동
3 
Other values (15)
25 

Length

Max length4
Median length4
Mean length3.8
Min length3

Unique

Unique6 ?
Unique (%)13.3%

Sample

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

Common Values

ValueCountFrequency (%)
염창동 5
 
11.1%
화곡1동 5
 
11.1%
공항동 4
 
8.9%
방화2동 3
 
6.7%
화곡본동 3
 
6.7%
화곡3동 3
 
6.7%
등촌2동 2
 
4.4%
화곡4동 2
 
4.4%
화곡6동 2
 
4.4%
화곡8동 2
 
4.4%
Other values (10) 14
31.1%

Length

2023-12-13T04:36:18.751130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
염창동 5
 
11.1%
화곡1동 5
 
11.1%
공항동 4
 
8.9%
방화2동 3
 
6.7%
화곡본동 3
 
6.7%
화곡3동 3
 
6.7%
등촌1동 2
 
4.4%
방화1동 2
 
4.4%
발산1동 2
 
4.4%
우장산동 2
 
4.4%
Other values (10) 14
31.1%

설치위치
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-12-13T04:36:19.056943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length23
Mean length17.2
Min length4

Characters and Unicode

Total characters774
Distinct characters121
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)100.0%

Sample

1st row양천로67가길 63 염창동주민센터
2nd row공항대로75길 42 대림아파트 뒤편 벽면
3rd row양천로77길 21
4th row공항대로 615
5th row염창감리교회
ValueCountFrequency (%)
주민센터 10
 
6.0%
담 6
 
3.6%
옆 5
 
3.0%
주차장 5
 
3.0%
뒤편 4
 
2.4%
입구 4
 
2.4%
허준로 3
 
1.8%
삼거리 2
 
1.2%
맞은편 2
 
1.2%
공항동 2
 
1.2%
Other values (116) 124
74.3%
2023-12-13T04:36:19.545993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
122
 
15.8%
로 41
 
5.3%
3 34
 
4.4%
길 25
 
3.2%
주 24
 
3.1%
동 24
 
3.1%
화 22
 
2.8%
1 21
 
2.7%
2 20
 
2.6%
민 19
 
2.5%
Other values (111) 422
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 490
63.3%
Decimal Number 154
 
19.9%
Space Separator 122
 
15.8%
Dash Punctuation 4
 
0.5%
Open Punctuation 2
 
0.3%
Close Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 41
 
8.4%
길 25
 
5.1%
주 24
 
4.9%
동 24
 
4.9%
화 22
 
4.5%
민 19
 
3.9%
센 18
 
3.7%
터 18
 
3.7%
공 16
 
3.3%
곡 14
 
2.9%
Other values (97) 269
54.9%
Decimal Number
ValueCountFrequency (%)
3 34
22.1%
1 21
13.6%
2 20
13.0%
5 18
11.7%
4 13
 
8.4%
7 12
 
7.8%
6 12
 
7.8%
9 10
 
6.5%
0 9
 
5.8%
8 5
 
3.2%
Space Separator
ValueCountFrequency (%)
122
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 490
63.3%
Common 284
36.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 41
 
8.4%
길 25
 
5.1%
주 24
 
4.9%
동 24
 
4.9%
화 22
 
4.5%
민 19
 
3.9%
센 18
 
3.7%
터 18
 
3.7%
공 16
 
3.3%
곡 14
 
2.9%
Other values (97) 269
54.9%
Common
ValueCountFrequency (%)
122
43.0%
3 34
 
12.0%
1 21
 
7.4%
2 20
 
7.0%
5 18
 
6.3%
4 13
 
4.6%
7 12
 
4.2%
6 12
 
4.2%
9 10
 
3.5%
0 9
 
3.2%
Other values (4) 13
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 490
63.3%
ASCII 284
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
122
43.0%
3 34
 
12.0%
1 21
 
7.4%
2 20
 
7.0%
5 18
 
6.3%
4 13
 
4.6%
7 12
 
4.2%
6 12
 
4.2%
9 10
 
3.5%
0 9
 
3.2%
Other values (4) 13
 
4.6%
Hangul
ValueCountFrequency (%)
로 41
 
8.4%
길 25
 
5.1%
주 24
 
4.9%
동 24
 
4.9%
화 22
 
4.5%
민 19
 
3.9%
센 18
 
3.7%
터 18
 
3.7%
공 16
 
3.3%
곡 14
 
2.9%
Other values (97) 269
54.9%

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
자원순환과
45 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자원순환과 45
100.0%

Length

2023-12-13T04:36:19.720519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:36:19.823673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자원순환과 45
100.0%

기준일
Date

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
Minimum2019-08-23 00:00:00
Maximum2019-08-23 00:00:00
2023-12-13T04:36:19.917210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:36:20.049348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-13T04:36:20.122080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동설치위치
행정동1.0001.000
설치위치1.0001.000

Missing values

2023-12-13T04:36:18.568007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:36:18.656410image/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

행정동설치위치담당부서기준일
0염창동양천로67가길 63 염창동주민센터자원순환과2019-08-23
1염창동공항대로75길 42 대림아파트 뒤편 벽면자원순환과2019-08-23
2염창동양천로77길 21자원순환과2019-08-23
3염창동공항대로 615자원순환과2019-08-23
4염창동염창감리교회자원순환과2019-08-23
5등촌1동공항대로53가길 55 등촌1동주민센터자원순환과2019-08-23
6등촌1동공항대로53가길 10 건너편 벽자원순환과2019-08-23
7등촌2동등촌로 143 등촌2동 주민센터 뒤편자원순환과2019-08-23
8등촌2동등촌로39마길 3 능안경로당 입구자원순환과2019-08-23
9등촌3동화곡로63길 96 등촌3동 주민센터자원순환과2019-08-23
행정동설치위치담당부서기준일
35공항동송정로 45 공항동 주민센터자원순환과2019-08-23
36공항동방화대로 241 공항중학교 담자원순환과2019-08-23
37공항동공항동 다솔어린이공원자원순환과2019-08-23
38공항동장미공원자원순환과2019-08-23
39방화1동방화대로 330 방화1동 주민센터 주차장자원순환과2019-08-23
40방화1동초원로16길 3-6 담자원순환과2019-08-23
41방화2동개화동로23길 26 방화2동경로당 담장자원순환과2019-08-23
42방화2동개화동로13길 12-8 내촌경로당자원순환과2019-08-23
43방화2동개화동로5길 9-35 신대부석어린이공원자원순환과2019-08-23
44방화3동방화3동 주민센터 옆자원순환과2019-08-23