Overview

Dataset statistics

Number of variables5
Number of observations48
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory43.8 B

Variable types

Numeric1
Text2
Categorical1
DateTime1

Dataset

Description경상북도 봉화군의 의류수거함 정보 데이터입니다. 연번, 관리번호, 읍면구분, 설치장소, 데이터기준일을 포함하고 있습니다.
Author경상북도 봉화군
URLhttps://www.data.go.kr/data/15127254/fileData.do

Alerts

데이터기준일 has constant value ""Constant
연번 has unique valuesUnique
관리번호 has unique valuesUnique
설치장소 has unique valuesUnique

Reproduction

Analysis started2024-04-17 11:29:38.201957
Analysis finished2024-04-17 11:29:39.487499
Duration1.29 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.5
Minimum1
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-04-17T20:29:39.562550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.35
Q112.75
median24.5
Q336.25
95-th percentile45.65
Maximum48
Range47
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation14
Coefficient of variation (CV)0.57142857
Kurtosis-1.2
Mean24.5
Median Absolute Deviation (MAD)12
Skewness0
Sum1176
Variance196
MonotonicityStrictly increasing
2024-04-17T20:29:39.688580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
1 1
 
2.1%
26 1
 
2.1%
28 1
 
2.1%
29 1
 
2.1%
30 1
 
2.1%
31 1
 
2.1%
32 1
 
2.1%
33 1
 
2.1%
34 1
 
2.1%
35 1
 
2.1%
Other values (38) 38
79.2%
ValueCountFrequency (%)
1 1
2.1%
2 1
2.1%
3 1
2.1%
4 1
2.1%
5 1
2.1%
6 1
2.1%
7 1
2.1%
8 1
2.1%
9 1
2.1%
10 1
2.1%
ValueCountFrequency (%)
48 1
2.1%
47 1
2.1%
46 1
2.1%
45 1
2.1%
44 1
2.1%
43 1
2.1%
42 1
2.1%
41 1
2.1%
40 1
2.1%
39 1
2.1%

관리번호
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-04-17T20:29:39.898640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5.3958333
Min length5

Characters and Unicode

Total characters259
Distinct characters32
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)100.0%

Sample

1st row봉화읍-1
2nd row봉화읍-2
3rd row봉화읍-3
4th row봉화읍-4
5th row봉화읍-5
ValueCountFrequency (%)
봉화읍-1 1
 
2.1%
봉화읍-2 1
 
2.1%
물야면-24 1
 
2.1%
물야면-15 1
 
2.1%
물야면-16 1
 
2.1%
물야면-17 1
 
2.1%
물야면-18 1
 
2.1%
물야면-19 1
 
2.1%
물야면-20 1
 
2.1%
물야면-21 1
 
2.1%
Other values (38) 38
79.2%
2024-04-17T20:29:40.212358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 48
18.5%
면 36
13.9%
1 26
10.0%
물 25
9.7%
야 25
9.7%
2 14
 
5.4%
봉 13
 
5.0%
화 12
 
4.6%
읍 12
 
4.6%
3 4
 
1.5%
Other values (22) 44
17.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 144
55.6%
Decimal Number 67
25.9%
Dash Punctuation 48
 
18.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 36
25.0%
물 25
17.4%
야 25
17.4%
봉 13
 
9.0%
화 12
 
8.3%
읍 12
 
8.3%
석 2
 
1.4%
포 2
 
1.4%
춘 2
 
1.4%
양 2
 
1.4%
Other values (11) 13
 
9.0%
Decimal Number
ValueCountFrequency (%)
1 26
38.8%
2 14
20.9%
3 4
 
6.0%
5 4
 
6.0%
4 4
 
6.0%
9 3
 
4.5%
0 3
 
4.5%
8 3
 
4.5%
7 3
 
4.5%
6 3
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 144
55.6%
Common 115
44.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 36
25.0%
물 25
17.4%
야 25
17.4%
봉 13
 
9.0%
화 12
 
8.3%
읍 12
 
8.3%
석 2
 
1.4%
포 2
 
1.4%
춘 2
 
1.4%
양 2
 
1.4%
Other values (11) 13
 
9.0%
Common
ValueCountFrequency (%)
- 48
41.7%
1 26
22.6%
2 14
 
12.2%
3 4
 
3.5%
5 4
 
3.5%
4 4
 
3.5%
9 3
 
2.6%
0 3
 
2.6%
8 3
 
2.6%
7 3
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 144
55.6%
ASCII 115
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 48
41.7%
1 26
22.6%
2 14
 
12.2%
3 4
 
3.5%
5 4
 
3.5%
4 4
 
3.5%
9 3
 
2.6%
0 3
 
2.6%
8 3
 
2.6%
7 3
 
2.6%
Hangul
ValueCountFrequency (%)
면 36
25.0%
물 25
17.4%
야 25
17.4%
봉 13
 
9.0%
화 12
 
8.3%
읍 12
 
8.3%
석 2
 
1.4%
포 2
 
1.4%
춘 2
 
1.4%
양 2
 
1.4%
Other values (11) 13
 
9.0%

읍면구분
Categorical

Distinct10
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size516.0 B
물야면
25 
봉화읍
12 
춘양면
 
2
소천면
 
2
석포면
 
2
Other values (5)
5 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique5 ?
Unique (%)10.4%

Sample

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

Common Values

ValueCountFrequency (%)
물야면 25
52.1%
봉화읍 12
25.0%
춘양면 2
 
4.2%
소천면 2
 
4.2%
석포면 2
 
4.2%
봉성면 1
 
2.1%
법전면 1
 
2.1%
재산면 1
 
2.1%
명호면 1
 
2.1%
상운면 1
 
2.1%

Length

2024-04-17T20:29:40.348846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:29:40.450583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
물야면 25
52.1%
봉화읍 12
25.0%
춘양면 2
 
4.2%
소천면 2
 
4.2%
석포면 2
 
4.2%
봉성면 1
 
2.1%
법전면 1
 
2.1%
재산면 1
 
2.1%
명호면 1
 
2.1%
상운면 1
 
2.1%

설치장소
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-04-17T20:29:40.693288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length27
Mean length21.5625
Min length18

Characters and Unicode

Total characters1035
Distinct characters98
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

Unique48 ?
Unique (%)100.0%

Sample

1st row경상북도 봉화군 봉화읍 내성로7길 16
2nd row경상북도 봉화군 봉화읍 내성로3길 9
3rd row경상북도 봉화군 봉화읍 교촌길 54-7
4th row경상북도 봉화군 봉화읍 교촌길 59
5th row경상북도 봉화군 봉화읍 동산목길 20-2
ValueCountFrequency (%)
경상북도 48
19.4%
봉화군 48
19.4%
물야면 25
 
10.1%
봉화읍 12
 
4.8%
마을회관 3
 
1.2%
석포면 2
 
0.8%
문수로 2
 
0.8%
두문로 2
 
0.8%
마장길 2
 
0.8%
월계길 2
 
0.8%
Other values (96) 102
41.1%
2024-04-17T20:29:41.050550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
200
19.3%
봉 62
 
6.0%
화 60
 
5.8%
상 50
 
4.8%
도 50
 
4.8%
경 49
 
4.7%
북 48
 
4.6%
군 48
 
4.6%
면 38
 
3.7%
길 37
 
3.6%
Other values (88) 393
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 683
66.0%
Space Separator 201
 
19.4%
Decimal Number 137
 
13.2%
Dash Punctuation 14
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
봉 62
 
9.1%
화 60
 
8.8%
상 50
 
7.3%
도 50
 
7.3%
경 49
 
7.2%
북 48
 
7.0%
군 48
 
7.0%
면 38
 
5.6%
길 37
 
5.4%
야 25
 
3.7%
Other values (75) 216
31.6%
Decimal Number
ValueCountFrequency (%)
1 35
25.5%
2 25
18.2%
5 15
10.9%
0 11
 
8.0%
3 11
 
8.0%
4 10
 
7.3%
6 8
 
5.8%
9 8
 
5.8%
7 7
 
5.1%
8 7
 
5.1%
Space Separator
ValueCountFrequency (%)
200
99.5%
  1
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 683
66.0%
Common 352
34.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
봉 62
 
9.1%
화 60
 
8.8%
상 50
 
7.3%
도 50
 
7.3%
경 49
 
7.2%
북 48
 
7.0%
군 48
 
7.0%
면 38
 
5.6%
길 37
 
5.4%
야 25
 
3.7%
Other values (75) 216
31.6%
Common
ValueCountFrequency (%)
200
56.8%
1 35
 
9.9%
2 25
 
7.1%
5 15
 
4.3%
- 14
 
4.0%
0 11
 
3.1%
3 11
 
3.1%
4 10
 
2.8%
6 8
 
2.3%
9 8
 
2.3%
Other values (3) 15
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 683
66.0%
ASCII 351
33.9%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
200
57.0%
1 35
 
10.0%
2 25
 
7.1%
5 15
 
4.3%
- 14
 
4.0%
0 11
 
3.1%
3 11
 
3.1%
4 10
 
2.8%
6 8
 
2.3%
9 8
 
2.3%
Other values (2) 14
 
4.0%
Hangul
ValueCountFrequency (%)
봉 62
 
9.1%
화 60
 
8.8%
상 50
 
7.3%
도 50
 
7.3%
경 49
 
7.2%
북 48
 
7.0%
군 48
 
7.0%
면 38
 
5.6%
길 37
 
5.4%
야 25
 
3.7%
Other values (75) 216
31.6%
None
ValueCountFrequency (%)
  1
100.0%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
Minimum2024-03-15 00:00:00
Maximum2024-03-15 00:00:00
2024-04-17T20:29:41.146813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T20:29:41.220378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-17T20:29:39.231638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-17T20:29:41.281290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번관리번호읍면구분설치장소
연번1.0001.0000.8541.000
관리번호1.0001.0001.0001.000
읍면구분0.8541.0001.0001.000
설치장소1.0001.0001.0001.000
2024-04-17T20:29:41.360934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번읍면구분
연번1.0000.422
읍면구분0.4221.000

Missing values

2024-04-17T20:29:39.374793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-17T20:29:39.454159image/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

연번관리번호읍면구분설치장소데이터기준일
01봉화읍-1봉화읍경상북도 봉화군 봉화읍 내성로7길 162024-03-15
12봉화읍-2봉화읍경상북도 봉화군 봉화읍 내성로3길 92024-03-15
23봉화읍-3봉화읍경상북도 봉화군 봉화읍 교촌길 54-72024-03-15
34봉화읍-4봉화읍경상북도 봉화군 봉화읍 교촌길 592024-03-15
45봉화읍-5봉화읍경상북도 봉화군 봉화읍 동산목길 20-22024-03-15
56봉화읍-6봉화읍경상북도 봉화군 봉화읍 문단2길 17-12024-03-15
67봉화읍-7봉화읍경상북도 봉화군 봉화읍 한골길 2 마을회관2024-03-15
78봉화읍-8봉화읍경상북도 봉화군 봉화읍 충재길 6-12024-03-15
89봉화읍-9봉화읍경상북도 봉화군 봉화읍 궉말길 24-82024-03-15
910봉화읍-10봉화읍경상북도 봉화군 봉화읍 두릉골길32024-03-15
연번관리번호읍면구분설치장소데이터기준일
3839법전면-1법전면경상북도 봉화군 법전면 법전로 100 법전면사무소2024-03-15
3940춘양면-1춘양면경상북도 봉화군 춘양면 거곡길 42 서동리서원마경로당2024-03-15
4041춘양면-2춘양면경상북도 봉화군 춘양면 서당골길 1-102024-03-15
4142소천면-1소천면경상북도 봉화군 소천면 소천로 1269-32024-03-15
4243소천면-2소천면경상북도 봉화군  소천면 갈산로 10122024-03-15
4344석포면-1석포면경상북도 봉화군 석포면 석포로 1702024-03-15
4445석포면-2석포면경상북도 봉화군 석포면 석포로1길 55 석포면사무소2024-03-15
4546재산면-1재산면경상북도 봉화군 재산면 재산로 5262024-03-15
4647명호면-1명호면경상북도 봉화군 명호면 도천길 15-52024-03-15
4748상운면-1상운면경상북도 봉화군 상운면 예봉로 12912024-03-15