Overview

Dataset statistics

Number of variables5
Number of observations105
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory42.3 B

Variable types

Numeric1
Text1
Categorical3

Dataset

Description진주시 관내 시 지정게시대 현황에 대한 내용 및 정보가 담겨있습니다.(게시대명칭, 행정동, 규격, 형식에 대한 내용을 제공)
Author경상남도 진주시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15074646

Alerts

번호 is highly overall correlated with 설치 지역High correlation
설치 지역 is highly overall correlated with 번호High correlation
규격 is highly imbalanced (86.5%)Imbalance
형식 is highly imbalanced (56.3%)Imbalance
번호 has unique valuesUnique
설치위치 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:05:38.346296
Analysis finished2023-12-11 00:05:38.913397
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct105
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.019048
Minimum1
Maximum107
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T09:05:39.013150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.2
Q127
median53
Q379
95-th percentile99.8
Maximum107
Range106
Interquartile range (IQR)52

Descriptive statistics

Standard deviation30.488327
Coefficient of variation (CV)0.57504479
Kurtosis-1.1942388
Mean53.019048
Median Absolute Deviation (MAD)26
Skewness0.0039194054
Sum5567
Variance929.5381
MonotonicityStrictly increasing
2023-12-11T09:05:39.215605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
80 1
 
1.0%
78 1
 
1.0%
77 1
 
1.0%
76 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
Other values (95) 95
90.5%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
107 1
1.0%
104 1
1.0%
103 1
1.0%
102 1
1.0%
101 1
1.0%
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%

설치위치
Text

UNIQUE 

Distinct105
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size972.0 B
2023-12-11T09:05:39.542794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length8.7809524
Min length3

Characters and Unicode

Total characters922
Distinct characters167
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique105 ?
Unique (%)100.0%

Sample

1st row연암도서관 앞
2nd row옥봉동 동방호텔 좌측
3rd row옥봉동 동방호텔 우측
4th row장대동 어린이놀이터
5th row진주여고 앞
ValueCountFrequency (%)
앞 15
 
7.5%
좌측 13
 
6.5%
우측 13
 
6.5%
충무공동 7
 
3.5%
입구 4
 
2.0%
평거강변 4
 
2.0%
일반성 4
 
2.0%
신안강변 3
 
1.5%
농공단지 3
 
1.5%
옆 3
 
1.5%
Other values (109) 131
65.5%
2023-12-11T09:05:40.101193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
97
 
10.5%
측 30
 
3.3%
동 26
 
2.8%
거 23
 
2.5%
소 23
 
2.5%
무 22
 
2.4%
리 21
 
2.3%
사 21
 
2.3%
공 18
 
2.0%
좌 18
 
2.0%
Other values (157) 623
67.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 785
85.1%
Space Separator 97
 
10.5%
Open Punctuation 11
 
1.2%
Close Punctuation 11
 
1.2%
Uppercase Letter 10
 
1.1%
Decimal Number 8
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
측 30
 
3.8%
동 26
 
3.3%
거 23
 
2.9%
소 23
 
2.9%
무 22
 
2.8%
리 21
 
2.7%
사 21
 
2.7%
공 18
 
2.3%
좌 18
 
2.3%
면 16
 
2.0%
Other values (146) 567
72.2%
Uppercase Letter
ValueCountFrequency (%)
L 4
40.0%
G 2
20.0%
P 2
20.0%
H 2
20.0%
Decimal Number
ValueCountFrequency (%)
1 4
50.0%
2 2
25.0%
3 1
 
12.5%
0 1
 
12.5%
Space Separator
ValueCountFrequency (%)
97
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 785
85.1%
Common 127
 
13.8%
Latin 10
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
측 30
 
3.8%
동 26
 
3.3%
거 23
 
2.9%
소 23
 
2.9%
무 22
 
2.8%
리 21
 
2.7%
사 21
 
2.7%
공 18
 
2.3%
좌 18
 
2.3%
면 16
 
2.0%
Other values (146) 567
72.2%
Common
ValueCountFrequency (%)
97
76.4%
( 11
 
8.7%
) 11
 
8.7%
1 4
 
3.1%
2 2
 
1.6%
3 1
 
0.8%
0 1
 
0.8%
Latin
ValueCountFrequency (%)
L 4
40.0%
G 2
20.0%
P 2
20.0%
H 2
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 785
85.1%
ASCII 137
 
14.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
97
70.8%
( 11
 
8.0%
) 11
 
8.0%
L 4
 
2.9%
1 4
 
2.9%
G 2
 
1.5%
P 2
 
1.5%
H 2
 
1.5%
2 2
 
1.5%
3 1
 
0.7%
Hangul
ValueCountFrequency (%)
측 30
 
3.8%
동 26
 
3.3%
거 23
 
2.9%
소 23
 
2.9%
무 22
 
2.8%
리 21
 
2.7%
사 21
 
2.7%
공 18
 
2.3%
좌 18
 
2.3%
면 16
 
2.0%
Other values (146) 567
72.2%

설치 지역
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size972.0 B
동
64 
읍면
41 

Length

Max length2
Median length1
Mean length1.3904762
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동 64
61.0%
읍면 41
39.0%

Length

2023-12-11T09:05:40.253136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:05:40.358147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동 64
61.0%
읍면 41
39.0%

규격
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size972.0 B
520X70
102 
<NA>
 
2
520×70
 
1

Length

Max length6
Median length6
Mean length5.9619048
Min length4

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row520X70
2nd row520X70
3rd row520X70
4th row520X70
5th row520X70

Common Values

ValueCountFrequency (%)
520X70 102
97.1%
<NA> 2
 
1.9%
520×70 1
 
1.0%

Length

2023-12-11T09:05:40.470263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:05:40.588865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
520x70 102
97.1%
na 2
 
1.9%
520×70 1
 
1.0%

형식
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size972.0 B
풍속자동(태양광)
91 
병풍식(반자동)
 
9
접철식(반자동)
 
5

Length

Max length9
Median length9
Mean length8.8666667
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row병풍식(반자동)
2nd row풍속자동(태양광)
3rd row풍속자동(태양광)
4th row풍속자동(태양광)
5th row풍속자동(태양광)

Common Values

ValueCountFrequency (%)
풍속자동(태양광) 91
86.7%
병풍식(반자동) 9
 
8.6%
접철식(반자동) 5
 
4.8%

Length

2023-12-11T09:05:40.713311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:05:40.831167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
풍속자동(태양광 91
86.7%
병풍식(반자동 9
 
8.6%
접철식(반자동 5
 
4.8%

Interactions

2023-12-11T09:05:38.625067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:05:40.914594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호설치 지역규격형식
번호1.0000.9890.2960.255
설치 지역0.9891.0000.0000.152
규격0.2960.0001.0000.000
형식0.2550.1520.0001.000
2023-12-11T09:05:41.028421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치 지역규격형식
설치 지역1.0000.0000.249
규격0.0001.0000.000
형식0.2490.0001.000
2023-12-11T09:05:41.141952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호설치 지역규격형식
번호1.0000.8700.2160.149
설치 지역0.8701.0000.0000.249
규격0.2160.0001.0000.000
형식0.1490.2490.0001.000

Missing values

2023-12-11T09:05:38.755877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:05:38.852402image/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

번호설치위치설치 지역규격형식
01연암도서관 앞동520X70병풍식(반자동)
12옥봉동 동방호텔 좌측동520X70풍속자동(태양광)
23옥봉동 동방호텔 우측동520X70풍속자동(태양광)
34장대동 어린이놀이터동520X70풍속자동(태양광)
45진주여고 앞동520X70풍속자동(태양광)
56진주보건대 앞동520X70풍속자동(태양광)
67이현웰가동520X70풍속자동(태양광)
78(구)북부파출소동520X70병풍식(반자동)
89이현주공아파트동520X70병풍식(반자동)
910신안보조경기장 옆동520X70풍속자동(태양광)
번호설치위치설치 지역규격형식
9596대평 당촌삼거리읍면520X70풍속자동(태양광)
9697대평면 회전교차로읍면520×70풍속자동(태양광)
9798대평면사무소읍면520X70접철식(반자동)
9899명석농협 앞읍면520X70풍속자동(태양광)
99100명석면사무소읍면520X70풍속자동(태양광)
100101충무공동 윙스타워삼거리1동520X70풍속자동(태양광)
101102유현교동520X70풍속자동(태양광)
102103경상남도 서부청사 앞동520X70풍속자동(태양광)
103104대곡면사무소읍면<NA>풍속자동(태양광)
104107일반성면사무소 옆읍면<NA>풍속자동(태양광)