Overview

Dataset statistics

Number of variables6
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory54.7 B

Variable types

Numeric1
Text3
Categorical1
DateTime1

Dataset

Description대구광역시 달서구_폐의약품 수거함_20240313
Author대구광역시 달서구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15112999&dataSetDetailId=151129991e9883cad940b&provdMethod=FILE

Alerts

세부위치 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
관할기관 has unique valuesUnique
소재지 도로명주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-04-19 06:51:14.939028
Analysis finished2024-04-19 06:51:15.382961
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-04-19T15:51:15.444256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.1
Q16.5
median12
Q317.5
95-th percentile21.9
Maximum23
Range22
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.78233
Coefficient of variation (CV)0.56519417
Kurtosis-1.2
Mean12
Median Absolute Deviation (MAD)6
Skewness0
Sum276
Variance46
MonotonicityStrictly increasing
2024-04-19T15:51:15.549830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 1
 
4.3%
2 1
 
4.3%
23 1
 
4.3%
22 1
 
4.3%
21 1
 
4.3%
20 1
 
4.3%
19 1
 
4.3%
18 1
 
4.3%
17 1
 
4.3%
16 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1 1
4.3%
2 1
4.3%
3 1
4.3%
4 1
4.3%
5 1
4.3%
6 1
4.3%
7 1
4.3%
8 1
4.3%
9 1
4.3%
10 1
4.3%
ValueCountFrequency (%)
23 1
4.3%
22 1
4.3%
21 1
4.3%
20 1
4.3%
19 1
4.3%
18 1
4.3%
17 1
4.3%
16 1
4.3%
15 1
4.3%
14 1
4.3%

관할기관
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-04-19T15:51:15.752728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.6086957
Min length8

Characters and Unicode

Total characters221
Distinct characters38
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row성당동행정복지센터
2nd row두류1·2동행정복지센터
3rd row두류3동행정복지센터
4th row본리동행정복지센터
5th row감삼동행정복지센터
ValueCountFrequency (%)
성당동행정복지센터 1
 
4.3%
월성1동행정복지센터 1
 
4.3%
송현2동행정복지센터 1
 
4.3%
송현1동행정복지센터 1
 
4.3%
도원동행정복지센터 1
 
4.3%
상인3동행정복지센터 1
 
4.3%
상인2동행정복지센터 1
 
4.3%
상인1동행정복지센터 1
 
4.3%
유천동행정복지센터 1
 
4.3%
진천동행정복지센터 1
 
4.3%
Other values (13) 13
56.5%
2024-04-19T15:51:16.064307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 23
10.4%
행 23
10.4%
정 23
10.4%
복 23
10.4%
지 23
10.4%
센 23
10.4%
터 23
10.4%
1 6
 
2.7%
2 6
 
2.7%
성 3
 
1.4%
Other values (28) 45
20.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 206
93.2%
Decimal Number 14
 
6.3%
Other Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 23
11.2%
행 23
11.2%
정 23
11.2%
복 23
11.2%
지 23
11.2%
센 23
11.2%
터 23
11.2%
성 3
 
1.5%
인 3
 
1.5%
상 3
 
1.5%
Other values (24) 36
17.5%
Decimal Number
ValueCountFrequency (%)
1 6
42.9%
2 6
42.9%
3 2
 
14.3%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 206
93.2%
Common 15
 
6.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 23
11.2%
행 23
11.2%
정 23
11.2%
복 23
11.2%
지 23
11.2%
센 23
11.2%
터 23
11.2%
성 3
 
1.5%
인 3
 
1.5%
상 3
 
1.5%
Other values (24) 36
17.5%
Common
ValueCountFrequency (%)
1 6
40.0%
2 6
40.0%
3 2
 
13.3%
· 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 206
93.2%
ASCII 14
 
6.3%
None 1
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 23
11.2%
행 23
11.2%
정 23
11.2%
복 23
11.2%
지 23
11.2%
센 23
11.2%
터 23
11.2%
성 3
 
1.5%
인 3
 
1.5%
상 3
 
1.5%
Other values (24) 36
17.5%
ASCII
ValueCountFrequency (%)
1 6
42.9%
2 6
42.9%
3 2
 
14.3%
None
ValueCountFrequency (%)
· 1
100.0%

소재지 도로명주소
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-04-19T15:51:16.272467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length18.304348
Min length16

Characters and Unicode

Total characters421
Distinct characters60
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

Unique23 ?
Unique (%)100.0%

Sample

1st row대구광역시 달서구 야외음악당로 38
2nd row대구광역시 달서구 두류길 141-8
3rd row대구광역시 달서구 야외음악당로39길 24
4th row대구광역시 달서구 당산로 37-14
5th row대구광역시 달서구 감삼북길 119-10
ValueCountFrequency (%)
대구광역시 23
25.0%
달서구 23
25.0%
선원로 2
 
2.2%
구마로26길 1
 
1.1%
120-14 1
 
1.1%
97 1
 
1.1%
월성로 1
 
1.1%
65 1
 
1.1%
진천로9길 1
 
1.1%
33 1
 
1.1%
Other values (37) 37
40.2%
2024-04-19T15:51:16.592030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
69
16.4%
구 48
 
11.4%
대 25
 
5.9%
달 24
 
5.7%
서 24
 
5.7%
역 23
 
5.5%
시 23
 
5.5%
광 23
 
5.5%
로 20
 
4.8%
1 14
 
3.3%
Other values (50) 128
30.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 273
64.8%
Decimal Number 74
 
17.6%
Space Separator 69
 
16.4%
Dash Punctuation 5
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 48
17.6%
대 25
9.2%
달 24
8.8%
서 24
8.8%
역 23
8.4%
시 23
8.4%
광 23
8.4%
로 20
 
7.3%
길 9
 
3.3%
월 3
 
1.1%
Other values (38) 51
18.7%
Decimal Number
ValueCountFrequency (%)
1 14
18.9%
7 11
14.9%
2 10
13.5%
3 9
12.2%
6 6
8.1%
4 6
8.1%
0 5
 
6.8%
9 5
 
6.8%
8 5
 
6.8%
5 3
 
4.1%
Space Separator
ValueCountFrequency (%)
69
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 273
64.8%
Common 148
35.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 48
17.6%
대 25
9.2%
달 24
8.8%
서 24
8.8%
역 23
8.4%
시 23
8.4%
광 23
8.4%
로 20
 
7.3%
길 9
 
3.3%
월 3
 
1.1%
Other values (38) 51
18.7%
Common
ValueCountFrequency (%)
69
46.6%
1 14
 
9.5%
7 11
 
7.4%
2 10
 
6.8%
3 9
 
6.1%
6 6
 
4.1%
4 6
 
4.1%
0 5
 
3.4%
- 5
 
3.4%
9 5
 
3.4%
Other values (2) 8
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 273
64.8%
ASCII 148
35.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
69
46.6%
1 14
 
9.5%
7 11
 
7.4%
2 10
 
6.8%
3 9
 
6.1%
6 6
 
4.1%
4 6
 
4.1%
0 5
 
3.4%
- 5
 
3.4%
9 5
 
3.4%
Other values (2) 8
 
5.4%
Hangul
ValueCountFrequency (%)
구 48
17.6%
대 25
9.2%
달 24
8.8%
서 24
8.8%
역 23
8.4%
시 23
8.4%
광 23
8.4%
로 20
 
7.3%
길 9
 
3.3%
월 3
 
1.1%
Other values (38) 51
18.7%

세부위치
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
청사 내부
23 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청사 내부 23
100.0%

Length

2024-04-19T15:51:16.720907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:51:16.797624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청사 23
50.0%
내부 23
50.0%

전화번호
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-04-19T15:51:16.944862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters276
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

Unique23 ?
Unique (%)100.0%

Sample

1st row053-667-4015
2nd row053-667-4062
3rd row053-667-4114
4th row053-667-4144
5th row053-667-4183
ValueCountFrequency (%)
053-667-4015 1
 
4.3%
053-667-4412 1
 
4.3%
053-667-4755 1
 
4.3%
053-667-4737 1
 
4.3%
053-667-4692 1
 
4.3%
053-667-4669 1
 
4.3%
053-667-4632 1
 
4.3%
053-667-4604 1
 
4.3%
053-667-4094 1
 
4.3%
053-667-4472 1
 
4.3%
Other values (13) 13
56.5%
2024-04-19T15:51:17.227426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 53
19.2%
- 46
16.7%
4 35
12.7%
7 31
11.2%
3 30
10.9%
5 29
10.5%
0 28
10.1%
2 11
 
4.0%
1 7
 
2.5%
8 3
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 230
83.3%
Dash Punctuation 46
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 53
23.0%
4 35
15.2%
7 31
13.5%
3 30
13.0%
5 29
12.6%
0 28
12.2%
2 11
 
4.8%
1 7
 
3.0%
8 3
 
1.3%
9 3
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 276
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 53
19.2%
- 46
16.7%
4 35
12.7%
7 31
11.2%
3 30
10.9%
5 29
10.5%
0 28
10.1%
2 11
 
4.0%
1 7
 
2.5%
8 3
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 53
19.2%
- 46
16.7%
4 35
12.7%
7 31
11.2%
3 30
10.9%
5 29
10.5%
0 28
10.1%
2 11
 
4.0%
1 7
 
2.5%
8 3
 
1.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2024-03-13 00:00:00
Maximum2024-03-13 00:00:00
2024-04-19T15:51:17.331208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T15:51:17.413741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-19T15:51:15.113174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-19T15:51:17.475162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번관할기관소재지 도로명주소전화번호
연번1.0001.0001.0001.000
관할기관1.0001.0001.0001.000
소재지 도로명주소1.0001.0001.0001.000
전화번호1.0001.0001.0001.000

Missing values

2024-04-19T15:51:15.217540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-19T15:51:15.343147image/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

연번관할기관소재지 도로명주소세부위치전화번호데이터기준일자
01성당동행정복지센터대구광역시 달서구 야외음악당로 38청사 내부053-667-40152024-03-13
12두류1·2동행정복지센터대구광역시 달서구 두류길 141-8청사 내부053-667-40622024-03-13
23두류3동행정복지센터대구광역시 달서구 야외음악당로39길 24청사 내부053-667-41142024-03-13
34본리동행정복지센터대구광역시 달서구 당산로 37-14청사 내부053-667-41442024-03-13
45감삼동행정복지센터대구광역시 달서구 감삼북길 119-10청사 내부053-667-41832024-03-13
56죽전동행정복지센터대구광역시 달서구 죽전1길 176청사 내부053-667-42172024-03-13
67장기동행정복지센터대구광역시 달서구 장기로 277청사 내부053-667-42472024-03-13
78용산1동행정복지센터대구광역시 달서구 용산로 212-7청사 내부053-667-42722024-03-13
89용산2동행정복지센터대구광역시 달서구 선원로 278청사 내부053-667-43042024-03-13
910이곡1동행정복지센터대구광역시 달서구 달구벌대로 1309청사 내부053-667-43252024-03-13
연번관할기관소재지 도로명주소세부위치전화번호데이터기준일자
1314월성2동행정복지센터대구광역시 달서구 월성로 65청사 내부053-667-44642024-03-13
1415진천동행정복지센터대구광역시 달서구 진천로9길 33청사 내부053-667-44722024-03-13
1516유천동행정복지센터대구광역시 달서구 조암로 175청사 내부053-667-40942024-03-13
1617상인1동행정복지센터대구광역시 달서구 상인서로 40청사 내부053-667-46042024-03-13
1718상인2동행정복지센터대구광역시 달서구 상원로 27청사 내부053-667-46322024-03-13
1819상인3동행정복지센터대구광역시 달서구 월곡로26안길 3청사 내부053-667-46692024-03-13
1920도원동행정복지센터대구광역시 달서구 한실로 53청사 내부053-667-46922024-03-13
2021송현1동행정복지센터대구광역시 달서구 중흥로8길 41청사 내부053-667-47372024-03-13
2122송현2동행정복지센터대구광역시 달서구 월배로83길 120-14청사 내부053-667-47552024-03-13
2223본동행정복지센터대구광역시 달서구 구마로26길 62청사 내부053-667-47822024-03-13