Overview

Dataset statistics

Number of variables7
Number of observations53
Missing cells18
Missing cells (%)4.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory60.5 B

Variable types

Numeric2
Categorical2
Text2
DateTime1

Dataset

Description청송군 의류수거함 위치 현황을 공유함으로써 주민들의 재활용품 정확한 분리배출 유도하고 옷이나 신발을 재이용하여 쓰레기를 줄이기 위함
Author경상북도 청송군
URLhttps://www.data.go.kr/data/15127252/fileData.do

Alerts

관리단체 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 관리번호 and 1 other fieldsHigh correlation
관리번호 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
행정구역 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
소재지도로명주소 has 18 (34.0%) missing valuesMissing
연번 has unique valuesUnique
관리번호 has unique valuesUnique

Reproduction

Analysis started2024-03-23 05:42:59.303389
Analysis finished2024-03-23 05:43:00.867603
Duration1.56 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27
Minimum1
Maximum53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-03-23T14:43:01.011545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.6
Q114
median27
Q340
95-th percentile50.4
Maximum53
Range52
Interquartile range (IQR)26

Descriptive statistics

Standard deviation15.443445
Coefficient of variation (CV)0.57197945
Kurtosis-1.2
Mean27
Median Absolute Deviation (MAD)13
Skewness0
Sum1431
Variance238.5
MonotonicityStrictly increasing
2024-03-23T14:43:01.266679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
41 1
 
1.9%
30 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
Other values (43) 43
81.1%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
53 1
1.9%
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%
44 1
1.9%

관리번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27
Minimum1
Maximum53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-03-23T14:43:01.552713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.6
Q114
median27
Q340
95-th percentile50.4
Maximum53
Range52
Interquartile range (IQR)26

Descriptive statistics

Standard deviation15.443445
Coefficient of variation (CV)0.57197945
Kurtosis-1.2
Mean27
Median Absolute Deviation (MAD)13
Skewness0
Sum1431
Variance238.5
MonotonicityStrictly increasing
2024-03-23T14:43:01.894666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
41 1
 
1.9%
30 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
Other values (43) 43
81.1%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
53 1
1.9%
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%
44 1
1.9%

관리단체
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
대구시시각장애인협회
53 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구시시각장애인협회 53
100.0%

Length

2024-03-23T14:43:02.153698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:43:02.335493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구시시각장애인협회 53
100.0%

행정구역
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size556.0 B
진보면
22 
청송읍
13 
현서면
6 
안덕면
5 
파천면
3 
Other values (2)
4 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
진보면 22
41.5%
청송읍 13
24.5%
현서면 6
 
11.3%
안덕면 5
 
9.4%
파천면 3
 
5.7%
부남면 2
 
3.8%
현동면 2
 
3.8%

Length

2024-03-23T14:43:02.506533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:43:02.668132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
진보면 22
41.5%
청송읍 13
24.5%
현서면 6
 
11.3%
안덕면 5
 
9.4%
파천면 3
 
5.7%
부남면 2
 
3.8%
현동면 2
 
3.8%

소재지도로명주소
Text

MISSING 

Distinct35
Distinct (%)100.0%
Missing18
Missing (%)34.0%
Memory size556.0 B
2024-03-23T14:43:03.095172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29
Mean length25.742857
Min length19

Characters and Unicode

Total characters901
Distinct characters111
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

Unique35 ?
Unique (%)100.0%

Sample

1st row경상북도 청송군 청송읍 망미정4길7-1(운동장입구)
2nd row경상북도 청송군 청송읍 중앙로193(솔기아파트)
3rd row경상북도 청송군 청송읍 월막3길20(장미아파트)
4th row경상북도 청송군 청송읍 금곡1길24(미리네 앞)
5th row경상북도 청송군 청송읍 금곡1길7(중고등학교앞)
ValueCountFrequency (%)
경상북도 35
19.4%
청송군 35
19.4%
진보면 21
 
11.7%
청송읍 7
 
3.9%
안덕면 5
 
2.8%
옆 3
 
1.7%
진성서길 3
 
1.7%
앞 3
 
1.7%
안덕로 3
 
1.7%
구산북로 2
 
1.1%
Other values (57) 63
35.0%
2024-03-23T14:43:03.609151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
145
 
16.1%
청 42
 
4.7%
송 42
 
4.7%
북 37
 
4.1%
진 37
 
4.1%
경 36
 
4.0%
도 35
 
3.9%
군 35
 
3.9%
상 35
 
3.9%
면 29
 
3.2%
Other values (101) 428
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 611
67.8%
Space Separator 145
 
16.1%
Decimal Number 92
 
10.2%
Close Punctuation 24
 
2.7%
Open Punctuation 24
 
2.7%
Dash Punctuation 5
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 42
 
6.9%
송 42
 
6.9%
북 37
 
6.1%
진 37
 
6.1%
경 36
 
5.9%
도 35
 
5.7%
군 35
 
5.7%
상 35
 
5.7%
면 29
 
4.7%
안 26
 
4.3%
Other values (87) 257
42.1%
Decimal Number
ValueCountFrequency (%)
1 25
27.2%
2 17
18.5%
4 9
 
9.8%
3 8
 
8.7%
0 8
 
8.7%
5 7
 
7.6%
7 6
 
6.5%
8 5
 
5.4%
9 4
 
4.3%
6 3
 
3.3%
Space Separator
ValueCountFrequency (%)
145
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 611
67.8%
Common 290
32.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 42
 
6.9%
송 42
 
6.9%
북 37
 
6.1%
진 37
 
6.1%
경 36
 
5.9%
도 35
 
5.7%
군 35
 
5.7%
상 35
 
5.7%
면 29
 
4.7%
안 26
 
4.3%
Other values (87) 257
42.1%
Common
ValueCountFrequency (%)
145
50.0%
1 25
 
8.6%
) 24
 
8.3%
( 24
 
8.3%
2 17
 
5.9%
4 9
 
3.1%
3 8
 
2.8%
0 8
 
2.8%
5 7
 
2.4%
7 6
 
2.1%
Other values (4) 17
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 611
67.8%
ASCII 290
32.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
145
50.0%
1 25
 
8.6%
) 24
 
8.3%
( 24
 
8.3%
2 17
 
5.9%
4 9
 
3.1%
3 8
 
2.8%
0 8
 
2.8%
5 7
 
2.4%
7 6
 
2.1%
Other values (4) 17
 
5.9%
Hangul
ValueCountFrequency (%)
청 42
 
6.9%
송 42
 
6.9%
북 37
 
6.1%
진 37
 
6.1%
경 36
 
5.9%
도 35
 
5.7%
군 35
 
5.7%
상 35
 
5.7%
면 29
 
4.7%
안 26
 
4.3%
Other values (87) 257
42.1%

소재지지번주소
Text

Distinct52
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-03-23T14:43:04.013559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length30
Mean length23.924528
Min length19

Characters and Unicode

Total characters1268
Distinct characters105
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

Unique51 ?
Unique (%)96.2%

Sample

1st row경상북도 청송군 청송읍 월막리 484-12
2nd row경상북도 청송군 청송읍 월막리 451-14
3rd row경상북도 청송군 청송읍 월막리 440-14
4th row경상북도 청송군 청송읍 금곡리764
5th row경상북도 청송군 청송읍 금곡리 830-13
ValueCountFrequency (%)
경상북도 53
19.4%
청송군 53
19.4%
진보면 21
 
7.7%
청송읍 13
 
4.8%
진안리 10
 
3.7%
월막리 8
 
2.9%
이촌리 6
 
2.2%
현서면 6
 
2.2%
안덕면 5
 
1.8%
각산리 5
 
1.8%
Other values (75) 93
34.1%
2024-03-23T14:43:04.837705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
220
 
17.4%
청 66
 
5.2%
송 66
 
5.2%
도 55
 
4.3%
경 53
 
4.2%
북 53
 
4.2%
군 53
 
4.2%
상 53
 
4.2%
리 51
 
4.0%
면 41
 
3.2%
Other values (95) 557
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 780
61.5%
Space Separator 220
 
17.4%
Decimal Number 194
 
15.3%
Dash Punctuation 41
 
3.2%
Close Punctuation 16
 
1.3%
Open Punctuation 16
 
1.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 66
 
8.5%
송 66
 
8.5%
도 55
 
7.1%
경 53
 
6.8%
북 53
 
6.8%
군 53
 
6.8%
상 53
 
6.8%
리 51
 
6.5%
면 41
 
5.3%
진 33
 
4.2%
Other values (80) 256
32.8%
Decimal Number
ValueCountFrequency (%)
2 33
17.0%
3 29
14.9%
1 28
14.4%
4 22
11.3%
6 18
9.3%
8 17
8.8%
5 15
7.7%
7 15
7.7%
9 11
 
5.7%
0 6
 
3.1%
Space Separator
ValueCountFrequency (%)
220
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Other Punctuation
ValueCountFrequency (%)
? 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 780
61.5%
Common 488
38.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 66
 
8.5%
송 66
 
8.5%
도 55
 
7.1%
경 53
 
6.8%
북 53
 
6.8%
군 53
 
6.8%
상 53
 
6.8%
리 51
 
6.5%
면 41
 
5.3%
진 33
 
4.2%
Other values (80) 256
32.8%
Common
ValueCountFrequency (%)
220
45.1%
- 41
 
8.4%
2 33
 
6.8%
3 29
 
5.9%
1 28
 
5.7%
4 22
 
4.5%
6 18
 
3.7%
8 17
 
3.5%
) 16
 
3.3%
( 16
 
3.3%
Other values (5) 48
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 780
61.5%
ASCII 488
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
220
45.1%
- 41
 
8.4%
2 33
 
6.8%
3 29
 
5.9%
1 28
 
5.7%
4 22
 
4.5%
6 18
 
3.7%
8 17
 
3.5%
) 16
 
3.3%
( 16
 
3.3%
Other values (5) 48
 
9.8%
Hangul
ValueCountFrequency (%)
청 66
 
8.5%
송 66
 
8.5%
도 55
 
7.1%
경 53
 
6.8%
북 53
 
6.8%
군 53
 
6.8%
상 53
 
6.8%
리 51
 
6.5%
면 41
 
5.3%
진 33
 
4.2%
Other values (80) 256
32.8%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
Minimum2023-03-15 00:00:00
Maximum2023-03-15 00:00:00
2024-03-23T14:43:05.063210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:43:05.270814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-23T14:43:00.102740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:42:59.797702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:43:00.227174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:42:59.947154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T14:43:05.426257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번관리번호행정구역소재지도로명주소소재지지번주소
연번1.0001.0000.8481.0001.000
관리번호1.0001.0000.8481.0001.000
행정구역0.8480.8481.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.000
2024-03-23T14:43:05.604748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번관리번호행정구역
연번1.0001.0000.651
관리번호1.0001.0000.651
행정구역0.6510.6511.000

Missing values

2024-03-23T14:43:00.497410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T14:43:00.752744image/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

연번관리번호관리단체행정구역소재지도로명주소소재지지번주소데이터기준일자
011대구시시각장애인협회청송읍경상북도 청송군 청송읍 망미정4길7-1(운동장입구)경상북도 청송군 청송읍 월막리 484-122023-03-15
122대구시시각장애인협회청송읍경상북도 청송군 청송읍 중앙로193(솔기아파트)경상북도 청송군 청송읍 월막리 451-142023-03-15
233대구시시각장애인협회청송읍경상북도 청송군 청송읍 월막3길20(장미아파트)경상북도 청송군 청송읍 월막리 440-142023-03-15
344대구시시각장애인협회청송읍<NA>경상북도 청송군 청송읍 금곡리7642023-03-15
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