Overview

Dataset statistics

Number of variables6
Number of observations56
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory51.4 B

Variable types

Numeric1
Categorical2
Text3

Dataset

Description대구광역시 수성구 폐의약품 수거함 현황 데이터로 (연번, 관할, 기관명칭, 소재지, 세부위치,전화번호)에 대한 정보를 제공합니다.
Author대구광역시 수성구
URLhttps://www.data.go.kr/data/15113103/fileData.do

Alerts

연번 has unique valuesUnique
기관명칭 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:32:04.337867
Analysis finished2024-04-06 08:32:05.522140
Duration1.18 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.5
Minimum1
Maximum56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2024-04-06T17:32:05.671487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.75
Q114.75
median28.5
Q342.25
95-th percentile53.25
Maximum56
Range55
Interquartile range (IQR)27.5

Descriptive statistics

Standard deviation16.309506
Coefficient of variation (CV)0.57226338
Kurtosis-1.2
Mean28.5
Median Absolute Deviation (MAD)14
Skewness0
Sum1596
Variance266
MonotonicityStrictly increasing
2024-04-06T17:32:05.977438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.8%
30 1
 
1.8%
32 1
 
1.8%
33 1
 
1.8%
34 1
 
1.8%
35 1
 
1.8%
36 1
 
1.8%
37 1
 
1.8%
38 1
 
1.8%
39 1
 
1.8%
Other values (46) 46
82.1%
ValueCountFrequency (%)
1 1
1.8%
2 1
1.8%
3 1
1.8%
4 1
1.8%
5 1
1.8%
6 1
1.8%
7 1
1.8%
8 1
1.8%
9 1
1.8%
10 1
1.8%
ValueCountFrequency (%)
56 1
1.8%
55 1
1.8%
54 1
1.8%
53 1
1.8%
52 1
1.8%
51 1
1.8%
50 1
1.8%
49 1
1.8%
48 1
1.8%
47 1
1.8%

관할
Categorical

Distinct23
Distinct (%)41.1%
Missing0
Missing (%)0.0%
Memory size580.0 B
만촌1동
6 
범어4동
5 
범물2동
5 
고산3동
4 
고산1동
4 
Other values (18)
32 

Length

Max length6
Median length4
Mean length3.875
Min length2

Unique

Unique9 ?
Unique (%)16.1%

Sample

1st row범어1동
2nd row범어2동
3rd row범어3동
4th row범어4동
5th row만촌1동

Common Values

ValueCountFrequency (%)
만촌1동 6
 
10.7%
범어4동 5
 
8.9%
범물2동 5
 
8.9%
고산3동 4
 
7.1%
고산1동 4
 
7.1%
수성2.3가 4
 
7.1%
중동 4
 
7.1%
황금1동 3
 
5.4%
지산2동 2
 
3.6%
상동 2
 
3.6%
Other values (13) 17
30.4%

Length

2024-04-06T17:32:06.296075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
만촌1동 6
 
10.7%
범어4동 5
 
8.9%
범물2동 5
 
8.9%
고산3동 4
 
7.1%
고산1동 4
 
7.1%
수성2.3가 4
 
7.1%
중동 4
 
7.1%
황금1동 3
 
5.4%
지산1동 2
 
3.6%
범어3동 2
 
3.6%
Other values (13) 17
30.4%

기관명칭
Text

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size580.0 B
2024-04-06T17:32:06.794191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length9.1785714
Min length5

Characters and Unicode

Total characters514
Distinct characters111
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)100.0%

Sample

1st row범어1동 행정복지센터
2nd row범어2동 행정복지센터
3rd row범어3동 행정복지센터
4th row범어4동 행정복지센터
5th row만촌1동 행정복지센터
ValueCountFrequency (%)
행정복지센터 23
27.4%
메트로팔레스 4
 
4.8%
대구시지초등학교 1
 
1.2%
수성지구2차우방타운 1
 
1.2%
대구동천초등학교 1
 
1.2%
대구수성초등학교 1
 
1.2%
대구범일초등학교 1
 
1.2%
대구신매초등학교 1
 
1.2%
대구중앙초등학교 1
 
1.2%
1단지 1
 
1.2%
Other values (49) 49
58.3%
2024-04-06T17:32:07.603815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 35
 
6.8%
28
 
5.4%
동 26
 
5.1%
센 25
 
4.9%
정 24
 
4.7%
터 24
 
4.7%
행 23
 
4.5%
복 23
 
4.5%
범 13
 
2.5%
구 13
 
2.5%
Other values (101) 280
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 454
88.3%
Decimal Number 31
 
6.0%
Space Separator 28
 
5.4%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 35
 
7.7%
동 26
 
5.7%
센 25
 
5.5%
정 24
 
5.3%
터 24
 
5.3%
행 23
 
5.1%
복 23
 
5.1%
범 13
 
2.9%
구 13
 
2.9%
대 13
 
2.9%
Other values (93) 235
51.8%
Decimal Number
ValueCountFrequency (%)
2 11
35.5%
1 9
29.0%
3 7
22.6%
4 2
 
6.5%
0 1
 
3.2%
5 1
 
3.2%
Space Separator
ValueCountFrequency (%)
28
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 454
88.3%
Common 60
 
11.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 35
 
7.7%
동 26
 
5.7%
센 25
 
5.5%
정 24
 
5.3%
터 24
 
5.3%
행 23
 
5.1%
복 23
 
5.1%
범 13
 
2.9%
구 13
 
2.9%
대 13
 
2.9%
Other values (93) 235
51.8%
Common
ValueCountFrequency (%)
28
46.7%
2 11
 
18.3%
1 9
 
15.0%
3 7
 
11.7%
4 2
 
3.3%
0 1
 
1.7%
. 1
 
1.7%
5 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 454
88.3%
ASCII 60
 
11.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 35
 
7.7%
동 26
 
5.7%
센 25
 
5.5%
정 24
 
5.3%
터 24
 
5.3%
행 23
 
5.1%
복 23
 
5.1%
범 13
 
2.9%
구 13
 
2.9%
대 13
 
2.9%
Other values (93) 235
51.8%
ASCII
ValueCountFrequency (%)
28
46.7%
2 11
 
18.3%
1 9
 
15.0%
3 7
 
11.7%
4 2
 
3.3%
0 1
 
1.7%
. 1
 
1.7%
5 1
 
1.7%

소재지
Text

Distinct55
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size580.0 B
2024-04-06T17:32:08.161168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length20.178571
Min length16

Characters and Unicode

Total characters1130
Distinct characters65
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

Unique54 ?
Unique (%)96.4%

Sample

1st row대구광역시 수성구 범어천로97(범어동)
2nd row대구광역시 수성구 달구벌대로489안길 47(범어동)
3rd row대구광역시 수성구 상록로 42(범어동)
4th row대구광역시 수성구 달구벌대로504길 26(범어동)
5th row대구광역시 수성구 국채보상로 1001(만촌동)
ValueCountFrequency (%)
대구광역시 56
25.0%
수성구 56
25.0%
동원로 4
 
1.8%
청호로 2
 
0.9%
들안로 2
 
0.9%
명덕로 2
 
0.9%
범어로 2
 
0.9%
범안로 2
 
0.9%
지산로 2
 
0.9%
달구벌대로 2
 
0.9%
Other values (89) 94
42.0%
2024-04-06T17:32:09.021309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
168
14.9%
구 118
 
10.4%
수 66
 
5.8%
성 63
 
5.6%
대 62
 
5.5%
시 57
 
5.0%
역 56
 
5.0%
광 56
 
5.0%
로 56
 
5.0%
1 40
 
3.5%
Other values (55) 388
34.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 727
64.3%
Decimal Number 187
 
16.5%
Space Separator 168
 
14.9%
Close Punctuation 23
 
2.0%
Open Punctuation 23
 
2.0%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 118
16.2%
수 66
9.1%
성 63
8.7%
대 62
8.5%
시 57
7.8%
역 56
 
7.7%
광 56
 
7.7%
로 56
 
7.7%
동 28
 
3.9%
길 25
 
3.4%
Other values (41) 140
19.3%
Decimal Number
ValueCountFrequency (%)
1 40
21.4%
2 26
13.9%
4 23
12.3%
0 21
11.2%
3 20
10.7%
5 19
10.2%
6 17
9.1%
7 8
 
4.3%
9 7
 
3.7%
8 6
 
3.2%
Space Separator
ValueCountFrequency (%)
168
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 727
64.3%
Common 403
35.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 118
16.2%
수 66
9.1%
성 63
8.7%
대 62
8.5%
시 57
7.8%
역 56
 
7.7%
광 56
 
7.7%
로 56
 
7.7%
동 28
 
3.9%
길 25
 
3.4%
Other values (41) 140
19.3%
Common
ValueCountFrequency (%)
168
41.7%
1 40
 
9.9%
2 26
 
6.5%
4 23
 
5.7%
) 23
 
5.7%
( 23
 
5.7%
0 21
 
5.2%
3 20
 
5.0%
5 19
 
4.7%
6 17
 
4.2%
Other values (4) 23
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 727
64.3%
ASCII 403
35.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
168
41.7%
1 40
 
9.9%
2 26
 
6.5%
4 23
 
5.7%
) 23
 
5.7%
( 23
 
5.7%
0 21
 
5.2%
3 20
 
5.0%
5 19
 
4.7%
6 17
 
4.2%
Other values (4) 23
 
5.7%
Hangul
ValueCountFrequency (%)
구 118
16.2%
수 66
9.1%
성 63
8.7%
대 62
8.5%
시 57
7.8%
역 56
 
7.7%
광 56
 
7.7%
로 56
 
7.7%
동 28
 
3.9%
길 25
 
3.4%
Other values (41) 140
19.3%

세부위치
Categorical

Distinct16
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
행정복지센터 내부
19 
관리사무소 앞
16 
본관 1층 보건실
4 
보건실
3 
2층 보건실
2 
Other values (11)
12 

Length

Max length17
Median length15
Mean length8.25
Min length3

Unique

Unique10 ?
Unique (%)17.9%

Sample

1st row행정복지센터 내부
2nd row행정복지센터 내부
3rd row행정복지센터 내부
4th row행정복지센터 내부
5th row행정복지센터 내부

Common Values

ValueCountFrequency (%)
행정복지센터 내부 19
33.9%
관리사무소 앞 16
28.6%
본관 1층 보건실 4
 
7.1%
보건실 3
 
5.4%
2층 보건실 2
 
3.6%
1층 보건실 2
 
3.6%
행정복지센터 우측 출입구 옆 1
 
1.8%
행정복지센터 우측 1
 
1.8%
행정복지센터 청사 1층 1
 
1.8%
행정복지센터 후문 창고 앞 1
 
1.8%
Other values (6) 6
 
10.7%

Length

2024-04-06T17:32:09.395630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
행정복지센터 23
19.0%
내부 19
15.7%
앞 19
15.7%
관리사무소 17
14.0%
보건실 11
9.1%
1층 9
 
7.4%
본관 4
 
3.3%
경비실 3
 
2.5%
민원실 2
 
1.7%
옆 2
 
1.7%
Other values (10) 12
9.9%

전화번호
Text

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size580.0 B
2024-04-06T17:32:09.953107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters672
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

Unique56 ?
Unique (%)100.0%

Sample

1st row053-666-3533
2nd row053-666-3554
3rd row053-666-3574
4th row053-666-3597
5th row053-666-3614
ValueCountFrequency (%)
053-666-3533 1
 
1.8%
053-666-3554 1
 
1.8%
053-764-1431 1
 
1.8%
053-232-1430 1
 
1.8%
053-232-0660 1
 
1.8%
053-232-4195 1
 
1.8%
053-232-4299 1
 
1.8%
053-233-3283 1
 
1.8%
053-752-6618 1
 
1.8%
053-751-5905 1
 
1.8%
Other values (46) 46
82.1%
2024-04-06T17:32:11.226862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 128
19.0%
- 112
16.7%
6 101
15.0%
5 82
12.2%
0 80
11.9%
2 41
 
6.1%
7 36
 
5.4%
4 29
 
4.3%
1 24
 
3.6%
9 20
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 560
83.3%
Dash Punctuation 112
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 128
22.9%
6 101
18.0%
5 82
14.6%
0 80
14.3%
2 41
 
7.3%
7 36
 
6.4%
4 29
 
5.2%
1 24
 
4.3%
9 20
 
3.6%
8 19
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 112
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 672
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 128
19.0%
- 112
16.7%
6 101
15.0%
5 82
12.2%
0 80
11.9%
2 41
 
6.1%
7 36
 
5.4%
4 29
 
4.3%
1 24
 
3.6%
9 20
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 672
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 128
19.0%
- 112
16.7%
6 101
15.0%
5 82
12.2%
0 80
11.9%
2 41
 
6.1%
7 36
 
5.4%
4 29
 
4.3%
1 24
 
3.6%
9 20
 
3.0%

Interactions

2024-04-06T17:32:04.884614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:32:11.424618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번관할기관명칭소재지세부위치전화번호
연번1.0000.7741.0001.0000.7001.000
관할0.7741.0001.0001.0000.0001.000
기관명칭1.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.000
세부위치0.7000.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
2024-04-06T17:32:11.634279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관할세부위치
관할1.0000.000
세부위치0.0001.000
2024-04-06T17:32:11.811975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번관할세부위치
연번1.0000.3450.363
관할0.3451.0000.000
세부위치0.3630.0001.000

Missing values

2024-04-06T17:32:05.127822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:32:05.396781image/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

연번관할기관명칭소재지세부위치전화번호
01범어1동범어1동 행정복지센터대구광역시 수성구 범어천로97(범어동)행정복지센터 내부053-666-3533
12범어2동범어2동 행정복지센터대구광역시 수성구 달구벌대로489안길 47(범어동)행정복지센터 내부053-666-3554
23범어3동범어3동 행정복지센터대구광역시 수성구 상록로 42(범어동)행정복지센터 내부053-666-3574
34범어4동범어4동 행정복지센터대구광역시 수성구 달구벌대로504길 26(범어동)행정복지센터 내부053-666-3597
45만촌1동만촌1동 행정복지센터대구광역시 수성구 국채보상로 1001(만촌동)행정복지센터 내부053-666-3614
56만촌2동만촌2동 행정복지센터대구광역시 수성구 무열로 12(만촌동)행정복지센터 내부053-666-3632
67만촌3동만촌3동 행정복지센터대구광역시 수성구 교학로2길 45(만촌동)행정복지센터 내부053-666-3651
78수성1가수성1가동 행정복지센터대구광역시 수성구 명덕로73길 7(수성동1가)행정복지센터 내부053-666-3685
89수성2.3가수성2.3가동 행정복지센터대구광역시 수성구 명덕로 443-2(수성동3가)행정복지센터 내부053-666-3704
910수성4가수성4가동 행정복지센터대구광역시 수성구 들안로67길 64(수성동4가)행정복지센터 내부053-666-3713
연번관할기관명칭소재지세부위치전화번호
4647수성2.3가수성3가롯데캐슬대구광역시 수성구 명덕로 455관리사무소 앞053-745-0102
4748수성2.3가수성코오롱하늘채대구광역시 수성구 들안로 300관리사무소 앞053-746-1026
4849지산1동지산동서맨션대구광역시 수성구 지산로 56관리사무소 앞053-782-8381
4950고산2동노변대백아파트대구광역시 수성구 노변로 11경비실 앞053-791-3574
5051범물2동범물청림아파트대구광역시 수성구 지범로54길 15관리사무소 앞053-783-6370
5152범물2동범물신화아파트대구광역시 수성구 지범로40길 6관리사무소 앞053-781-3334
5253범물2동범물에덴아파트대구광역시 수성구 지범로40길 6관리사무소 앞053-783-5633
5354중동수성골드클래스더센텀대구광역시 수성구 수성로 185관리사무소 앞053-762-4700
5455중동수성뷰웰리버파크대구광역시 수성구 수성로41길41관리사무소 앞053-795-9196
5556범어4동대구정화여고대구광역시 수성구 청호로84길 123보건실053-235-7311