Overview

Dataset statistics

Number of variables4
Number of observations332
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.8 KiB
Average record size in memory33.4 B

Variable types

Numeric1
Categorical2
Text1

Dataset

Description「공공데이터의 제공 및 이용 활성화에 관한 법률」 제 27조제5항에 의거 경상북도 문경시 의류수거함(헌옷수거함)에 대한 위치 정보를 붙임과 같이 공개함.
Author경상북도 문경시
URLhttps://www.data.go.kr/data/15127307/fileData.do

Alerts

연번 is highly overall correlated with 관리단체 and 1 other fieldsHigh correlation
관리단체 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
행정동 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-23 05:39:50.061053
Analysis finished2024-03-23 05:39:50.907437
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct332
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean166.5
Minimum1
Maximum332
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-03-23T14:39:51.030256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17.55
Q183.75
median166.5
Q3249.25
95-th percentile315.45
Maximum332
Range331
Interquartile range (IQR)165.5

Descriptive statistics

Standard deviation95.984374
Coefficient of variation (CV)0.57648273
Kurtosis-1.2
Mean166.5
Median Absolute Deviation (MAD)83
Skewness0
Sum55278
Variance9213
MonotonicityStrictly increasing
2024-03-23T14:39:51.289843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
230 1
 
0.3%
228 1
 
0.3%
227 1
 
0.3%
226 1
 
0.3%
225 1
 
0.3%
224 1
 
0.3%
223 1
 
0.3%
222 1
 
0.3%
221 1
 
0.3%
Other values (322) 322
97.0%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
332 1
0.3%
331 1
0.3%
330 1
0.3%
329 1
0.3%
328 1
0.3%
327 1
0.3%
326 1
0.3%
325 1
0.3%
324 1
0.3%
323 1
0.3%

관리단체
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
미상
151 
새마을회
101 
개인
56 
문경시 여성자원봉사회
19 
가은읍새마을회
 
5

Length

Max length11
Median length2
Mean length3.1987952
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미상 151
45.5%
새마을회 101
30.4%
개인 56
 
16.9%
문경시 여성자원봉사회 19
 
5.7%
가은읍새마을회 5
 
1.5%

Length

2024-03-23T14:39:51.545852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:39:51.774598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미상 151
43.0%
새마을회 101
28.8%
개인 56
 
16.0%
문경시 19
 
5.4%
여성자원봉사회 19
 
5.4%
가은읍새마을회 5
 
1.4%

행정동
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
점촌1동
63 
점촌3동
58 
문경읍
49 
점촌2동
44 
가은읍
31 
Other values (10)
87 

Length

Max length4
Median length4
Mean length3.560241
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
점촌1동 63
19.0%
점촌3동 58
17.5%
문경읍 49
14.8%
점촌2동 44
13.3%
가은읍 31
9.3%
마성면 20
 
6.0%
신기동 17
 
5.1%
점촌5동 12
 
3.6%
점촌4동 9
 
2.7%
공평동 7
 
2.1%
Other values (5) 22
 
6.6%

Length

2024-03-23T14:39:52.179545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
점촌1동 63
19.0%
점촌3동 58
17.5%
문경읍 49
14.8%
점촌2동 44
13.3%
가은읍 31
9.3%
마성면 20
 
6.0%
신기동 17
 
5.1%
점촌5동 12
 
3.6%
점촌4동 9
 
2.7%
공평동 7
 
2.1%
Other values (5) 22
 
6.6%

설치장소(도로명 주소)
Text

Distinct309
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-03-23T14:39:52.695271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length24
Mean length11.89759
Min length5

Characters and Unicode

Total characters3950
Distinct characters261
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique289 ?
Unique (%)87.0%

Sample

1st row문경읍 상리 447-1(문경읍사무소 뒤)
2nd row문경읍 하리 117-3(훼미리타운 앞)
3rd row문경읍 교촌리 138-10
4th row문경읍 갈평리 564-8(마을회관 앞)
5th row문경읍 중평리 381(마을회관 앞 버스정류장)
ValueCountFrequency (%)
앞 63
 
7.0%
가은읍 31
 
3.4%
마을회관 19
 
2.1%
옆 18
 
2.0%
점촌동 15
 
1.7%
모전동 13
 
1.4%
주흘로 9
 
1.0%
청운로 9
 
1.0%
건너편 8
 
0.9%
11 7
 
0.8%
Other values (493) 711
78.7%
2024-03-23T14:39:53.779157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
578
 
14.6%
1 240
 
6.1%
길 181
 
4.6%
2 141
 
3.6%
3 104
 
2.6%
- 93
 
2.4%
앞 90
 
2.3%
5 87
 
2.2%
( 77
 
1.9%
) 76
 
1.9%
Other values (251) 2283
57.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2254
57.1%
Decimal Number 866
 
21.9%
Space Separator 578
 
14.6%
Dash Punctuation 93
 
2.4%
Open Punctuation 77
 
1.9%
Close Punctuation 76
 
1.9%
Other Punctuation 5
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
길 181
 
8.0%
앞 90
 
4.0%
리 73
 
3.2%
로 56
 
2.5%
동 56
 
2.5%
마 54
 
2.4%
신 51
 
2.3%
관 49
 
2.2%
회 47
 
2.1%
촌 44
 
2.0%
Other values (235) 1553
68.9%
Decimal Number
ValueCountFrequency (%)
1 240
27.7%
2 141
16.3%
3 104
12.0%
5 87
 
10.0%
4 73
 
8.4%
6 64
 
7.4%
7 46
 
5.3%
8 43
 
5.0%
0 34
 
3.9%
9 34
 
3.9%
Space Separator
ValueCountFrequency (%)
578
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 93
100.0%
Open Punctuation
ValueCountFrequency (%)
( 77
100.0%
Close Punctuation
ValueCountFrequency (%)
) 76
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2254
57.1%
Common 1695
42.9%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
길 181
 
8.0%
앞 90
 
4.0%
리 73
 
3.2%
로 56
 
2.5%
동 56
 
2.5%
마 54
 
2.4%
신 51
 
2.3%
관 49
 
2.2%
회 47
 
2.1%
촌 44
 
2.0%
Other values (235) 1553
68.9%
Common
ValueCountFrequency (%)
578
34.1%
1 240
14.2%
2 141
 
8.3%
3 104
 
6.1%
- 93
 
5.5%
5 87
 
5.1%
( 77
 
4.5%
) 76
 
4.5%
4 73
 
4.3%
6 64
 
3.8%
Other values (5) 162
 
9.6%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2254
57.1%
ASCII 1696
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
578
34.1%
1 240
14.2%
2 141
 
8.3%
3 104
 
6.1%
- 93
 
5.5%
5 87
 
5.1%
( 77
 
4.5%
) 76
 
4.5%
4 73
 
4.3%
6 64
 
3.8%
Other values (6) 163
 
9.6%
Hangul
ValueCountFrequency (%)
길 181
 
8.0%
앞 90
 
4.0%
리 73
 
3.2%
로 56
 
2.5%
동 56
 
2.5%
마 54
 
2.4%
신 51
 
2.3%
관 49
 
2.2%
회 47
 
2.1%
촌 44
 
2.0%
Other values (235) 1553
68.9%

Interactions

2024-03-23T14:39:50.490480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T14:39:53.945155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번관리단체행정동
연번\t1.0000.9660.931
관리단체0.9661.0000.848
행정동0.9310.8481.000
2024-03-23T14:39:54.109777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동관리단체
행정동1.0000.525
관리단체0.5251.000
2024-03-23T14:39:54.295240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번관리단체행정동
연번\t1.0000.7390.683
관리단체0.7391.0000.525
행정동0.6830.5251.000

Missing values

2024-03-23T14:39:50.701024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T14:39:50.843599image/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

연번관리단체행정동설치장소(도로명 주소)
01새마을회문경읍문경읍 상리 447-1(문경읍사무소 뒤)
12새마을회문경읍문경읍 하리 117-3(훼미리타운 앞)
23새마을회문경읍문경읍 교촌리 138-10
34새마을회문경읍문경읍 갈평리 564-8(마을회관 앞)
45새마을회문경읍문경읍 중평리 381(마을회관 앞 버스정류장)
56새마을회가은읍가은읍 양산개2길 13왕능1리마을회관
67새마을회가은읍가은읍 양산개5길 11-5 건너편
78새마을회가은읍가은읍 대야로 2511 건너편
89새마을회가은읍가은읍 가은5길 7 가은아자개장터
910새마을회가은읍가은읍 왕능2길 7왕능2리마을회관
연번관리단체행정동설치장소(도로명 주소)
322323미상신기동서새마길 3
323324미상신기동신기동산길 45
324325미상신기동신기1길 67-5
325326미상신기동신기동산길 3(신기경로당)
326327미상신기동신기1길 11(웃담정류장)
327328미상신기동신기3길 20
328329미상신기동주평길 34-2
329330미상신기동신기3길 19 맞은 편
330331미상신기동신기3길 11
331332미상신기동주평1길 4-6