Overview

Dataset statistics

Number of variables6
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory54.8 B

Variable types

Numeric1
Categorical2
Text3

Dataset

Description대구광역시 동구 폐의약품 수거함 현황에 대한 데이터로 연번, 관리기관명, 수거함위치명, 주소, 세부위치, 전화번호 등의 항목을 제공합니다.
Author대구광역시 동구
URLhttps://www.data.go.kr/data/15113013/fileData.do

Alerts

관리기관명 has constant value ""Constant
세부위치 has constant value ""Constant
연번 has unique valuesUnique
수거함 위치명 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 14:07:05.612786
Analysis finished2024-03-14 14:07:06.401918
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.5
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size326.0 B
2024-03-14T23:07:06.721164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q16.25
median11.5
Q316.75
95-th percentile20.95
Maximum22
Range21
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.4935866
Coefficient of variation (CV)0.5646597
Kurtosis-1.2
Mean11.5
Median Absolute Deviation (MAD)5.5
Skewness0
Sum253
Variance42.166667
MonotonicityStrictly increasing
2024-03-14T23:07:06.937311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 1
 
4.5%
13 1
 
4.5%
22 1
 
4.5%
21 1
 
4.5%
20 1
 
4.5%
19 1
 
4.5%
18 1
 
4.5%
17 1
 
4.5%
16 1
 
4.5%
15 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1 1
4.5%
2 1
4.5%
3 1
4.5%
4 1
4.5%
5 1
4.5%
6 1
4.5%
7 1
4.5%
8 1
4.5%
9 1
4.5%
10 1
4.5%
ValueCountFrequency (%)
22 1
4.5%
21 1
4.5%
20 1
4.5%
19 1
4.5%
18 1
4.5%
17 1
4.5%
16 1
4.5%
15 1
4.5%
14 1
4.5%
13 1
4.5%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
대구광역시 동구
22 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시 동구
2nd row대구광역시 동구
3rd row대구광역시 동구
4th row대구광역시 동구
5th row대구광역시 동구

Common Values

ValueCountFrequency (%)
대구광역시 동구 22
100.0%

Length

2024-03-14T23:07:07.320395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:07:07.628873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 22
50.0%
동구 22
50.0%

수거함 위치명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size304.0 B
2024-03-14T23:07:08.189732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.818182
Min length10

Characters and Unicode

Total characters238
Distinct characters34
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row신암1동 행정복지센터
2nd row신암2동 행정복지센터
3rd row신암3동 행정복지센터
4th row신암4동 행정복지센터
5th row신암5동 행정복지센터
ValueCountFrequency (%)
행정복지센터 22
50.0%
신암1동 1
 
2.3%
불로봉무동 1
 
2.3%
혁신동 1
 
2.3%
안심4동 1
 
2.3%
안심3동 1
 
2.3%
안심2동 1
 
2.3%
안심1동 1
 
2.3%
해안동 1
 
2.3%
방촌동 1
 
2.3%
Other values (13) 13
29.5%
2024-03-14T23:07:09.269375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 23
9.7%
동 23
9.7%
센 22
9.2%
터 22
9.2%
22
9.2%
행 22
9.2%
정 22
9.2%
복 22
9.2%
신 9
 
3.8%
안 5
 
2.1%
Other values (24) 46
19.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 200
84.0%
Space Separator 22
 
9.2%
Decimal Number 15
 
6.3%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 23
11.5%
동 23
11.5%
센 22
11.0%
터 22
11.0%
행 22
11.0%
정 22
11.0%
복 22
11.0%
신 9
 
4.5%
안 5
 
2.5%
암 5
 
2.5%
Other values (17) 25
12.5%
Decimal Number
ValueCountFrequency (%)
1 4
26.7%
2 4
26.7%
3 3
20.0%
4 3
20.0%
5 1
 
6.7%
Space Separator
ValueCountFrequency (%)
22
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 200
84.0%
Common 38
 
16.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 23
11.5%
동 23
11.5%
센 22
11.0%
터 22
11.0%
행 22
11.0%
정 22
11.0%
복 22
11.0%
신 9
 
4.5%
안 5
 
2.5%
암 5
 
2.5%
Other values (17) 25
12.5%
Common
ValueCountFrequency (%)
22
57.9%
1 4
 
10.5%
2 4
 
10.5%
3 3
 
7.9%
4 3
 
7.9%
· 1
 
2.6%
5 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 200
84.0%
ASCII 37
 
15.5%
None 1
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 23
11.5%
동 23
11.5%
센 22
11.0%
터 22
11.0%
행 22
11.0%
정 22
11.0%
복 22
11.0%
신 9
 
4.5%
안 5
 
2.5%
암 5
 
2.5%
Other values (17) 25
12.5%
ASCII
ValueCountFrequency (%)
22
59.5%
1 4
 
10.8%
2 4
 
10.8%
3 3
 
8.1%
4 3
 
8.1%
5 1
 
2.7%
None
ValueCountFrequency (%)
· 1
100.0%

주소
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size304.0 B
2024-03-14T23:07:10.151277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length20.045455
Min length17

Characters and Unicode

Total characters441
Distinct characters69
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

Unique22 ?
Unique (%)100.0%

Sample

1st row대구 동구 아양로7길 27(신암동)
2nd row대구 동구 신성로 56(신암동)
3rd row대구 동구 신암남로 67(신암동)
4th row대구 동구 신암남로23길 53(신암동)
5th row대구 동구 아양로37길 92(신암동)
ValueCountFrequency (%)
대구 22
24.4%
동구 22
24.4%
해동로3길 1
 
1.1%
80(지저동 1
 
1.1%
동촌로11길 1
 
1.1%
5(입석동 1
 
1.1%
동촌로48길 1
 
1.1%
26(방촌동 1
 
1.1%
방촌로29길 1
 
1.1%
46(방촌동 1
 
1.1%
Other values (38) 38
42.2%
2024-03-14T23:07:11.487203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
68
15.4%
동 49
 
11.1%
구 44
 
10.0%
로 23
 
5.2%
) 22
 
5.0%
( 22
 
5.0%
대 22
 
5.0%
길 18
 
4.1%
신 13
 
2.9%
2 12
 
2.7%
Other values (59) 148
33.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 247
56.0%
Decimal Number 79
 
17.9%
Space Separator 68
 
15.4%
Close Punctuation 22
 
5.0%
Open Punctuation 22
 
5.0%
Other Punctuation 2
 
0.5%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 49
19.8%
구 44
17.8%
로 23
 
9.3%
대 22
 
8.9%
길 18
 
7.3%
신 13
 
5.3%
암 7
 
2.8%
촌 5
 
2.0%
방 3
 
1.2%
천 3
 
1.2%
Other values (44) 60
24.3%
Decimal Number
ValueCountFrequency (%)
2 12
15.2%
1 12
15.2%
6 9
11.4%
5 9
11.4%
4 8
10.1%
9 8
10.1%
3 6
7.6%
8 6
7.6%
7 6
7.6%
0 3
 
3.8%
Space Separator
ValueCountFrequency (%)
68
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 247
56.0%
Common 194
44.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 49
19.8%
구 44
17.8%
로 23
 
9.3%
대 22
 
8.9%
길 18
 
7.3%
신 13
 
5.3%
암 7
 
2.8%
촌 5
 
2.0%
방 3
 
1.2%
천 3
 
1.2%
Other values (44) 60
24.3%
Common
ValueCountFrequency (%)
68
35.1%
) 22
 
11.3%
( 22
 
11.3%
2 12
 
6.2%
1 12
 
6.2%
6 9
 
4.6%
5 9
 
4.6%
4 8
 
4.1%
9 8
 
4.1%
3 6
 
3.1%
Other values (5) 18
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 247
56.0%
ASCII 194
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
68
35.1%
) 22
 
11.3%
( 22
 
11.3%
2 12
 
6.2%
1 12
 
6.2%
6 9
 
4.6%
5 9
 
4.6%
4 8
 
4.1%
9 8
 
4.1%
3 6
 
3.1%
Other values (5) 18
 
9.3%
Hangul
ValueCountFrequency (%)
동 49
19.8%
구 44
17.8%
로 23
 
9.3%
대 22
 
8.9%
길 18
 
7.3%
신 13
 
5.3%
암 7
 
2.8%
촌 5
 
2.0%
방 3
 
1.2%
천 3
 
1.2%
Other values (44) 60
24.3%

세부위치
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
청사 내
22 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row청사 내
2nd row청사 내
3rd row청사 내
4th row청사 내
5th row청사 내

Common Values

ValueCountFrequency (%)
청사 내 22
100.0%

Length

2024-03-14T23:07:11.889719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:07:12.194857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청사 22
50.0%
내 22
50.0%

전화번호
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size304.0 B
2024-03-14T23:07:12.914530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters264
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row053-662-3604
2nd row053-662-3635
3rd row053-662-3642
4th row053-662-3662
5th row053-662-3691
ValueCountFrequency (%)
053-662-3604 1
 
4.5%
053-662-3635 1
 
4.5%
053-662-4362 1
 
4.5%
053-662-3964 1
 
4.5%
053-662-3564 1
 
4.5%
053-662-3943 1
 
4.5%
053-662-3925 1
 
4.5%
053-662-3905 1
 
4.5%
053-662-3883 1
 
4.5%
053-662-3862 1
 
4.5%
Other values (12) 12
54.5%
2024-03-14T23:07:14.054813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 57
21.6%
3 48
18.2%
- 44
16.7%
2 31
11.7%
5 28
10.6%
0 26
9.8%
4 9
 
3.4%
8 8
 
3.0%
9 6
 
2.3%
7 6
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 220
83.3%
Dash Punctuation 44
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 57
25.9%
3 48
21.8%
2 31
14.1%
5 28
12.7%
0 26
11.8%
4 9
 
4.1%
8 8
 
3.6%
9 6
 
2.7%
7 6
 
2.7%
1 1
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 264
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 57
21.6%
3 48
18.2%
- 44
16.7%
2 31
11.7%
5 28
10.6%
0 26
9.8%
4 9
 
3.4%
8 8
 
3.0%
9 6
 
2.3%
7 6
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 264
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 57
21.6%
3 48
18.2%
- 44
16.7%
2 31
11.7%
5 28
10.6%
0 26
9.8%
4 9
 
3.4%
8 8
 
3.0%
9 6
 
2.3%
7 6
 
2.3%

Interactions

2024-03-14T23:07:05.886560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T23:07:14.286417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번수거함 위치명주소전화번호
연번1.0001.0001.0001.000
수거함 위치명1.0001.0001.0001.000
주소1.0001.0001.0001.000
전화번호1.0001.0001.0001.000

Missing values

2024-03-14T23:07:06.146734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T23:07:06.329198image/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

연번관리기관명수거함 위치명주소세부위치전화번호
01대구광역시 동구신암1동 행정복지센터대구 동구 아양로7길 27(신암동)청사 내053-662-3604
12대구광역시 동구신암2동 행정복지센터대구 동구 신성로 56(신암동)청사 내053-662-3635
23대구광역시 동구신암3동 행정복지센터대구 동구 신암남로 67(신암동)청사 내053-662-3642
34대구광역시 동구신암4동 행정복지센터대구 동구 신암남로23길 53(신암동)청사 내053-662-3662
45대구광역시 동구신암5동 행정복지센터대구 동구 아양로37길 92(신암동)청사 내053-662-3691
56대구광역시 동구신천1·2동 행정복지센터대구 동구 국채보상로159길 41(신천동)청사 내053-662-3706
67대구광역시 동구신천3동 행정복지센터대구 동구 장등로 90(신천동)청사 내053-662-3725
78대구광역시 동구신천4동 행정복지센터대구 동구 동부로30길 61-7(신천동)청사 내053-662-3742
89대구광역시 동구효목1동 행정복지센터대구 동구 화랑로41길 46(효목동)청사 내053-662-3766
910대구광역시 동구효목2동 행정복지센터대구 동구 화랑로25길 45(효목동)청사 내053-662-3782
연번관리기관명수거함 위치명주소세부위치전화번호
1213대구광역시 동구지저동 행정복지센터대구 동구 해동로3길 80(지저동)청사 내053-662-3845
1314대구광역시 동구동촌동 행정복지센터대구 동구 동촌로11길 5(입석동)청사 내053-662-3862
1415대구광역시 동구방촌동 행정복지센터대구 동구 동촌로48길 26(방촌동)청사 내053-662-3883
1516대구광역시 동구해안동 행정복지센터대구 동구 방촌로29길 46(방촌동)청사 내053-662-3905
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