Overview

Dataset statistics

Number of variables5
Number of observations119
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.0 KiB
Average record size in memory43.1 B

Variable types

Numeric2
Categorical2
Text1

Dataset

Description경상남도 거창군 내 임도시설 현황에 대한 데이터로 개설년도, 노선명, 위치(지번주소), 길이 등의 항목을 제공합니다.
Author경상남도 거창군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15006041

Alerts

데이터기준일 has constant value ""Constant

Reproduction

Analysis started2023-12-10 23:10:01.704424
Analysis finished2023-12-10 23:10:02.496733
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개설년도
Real number (ℝ)

Distinct37
Distinct (%)31.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2001.4706
Minimum1985
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T08:10:02.868218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1985
5-th percentile1987
Q11994
median1999
Q32011
95-th percentile2018.1
Maximum2021
Range36
Interquartile range (IQR)17

Descriptive statistics

Standard deviation10.226108
Coefficient of variation (CV)0.005109297
Kurtosis-1.1735909
Mean2001.4706
Median Absolute Deviation (MAD)9
Skewness0.27473265
Sum238175
Variance104.57328
MonotonicityIncreasing
2023-12-11T08:10:03.022538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
1995 11
 
9.2%
1996 6
 
5.0%
1999 6
 
5.0%
1994 6
 
5.0%
2012 5
 
4.2%
1990 5
 
4.2%
1997 4
 
3.4%
2011 4
 
3.4%
2013 4
 
3.4%
2014 4
 
3.4%
Other values (27) 64
53.8%
ValueCountFrequency (%)
1985 2
 
1.7%
1986 3
2.5%
1987 3
2.5%
1988 4
3.4%
1989 2
 
1.7%
1990 5
4.2%
1991 3
2.5%
1992 2
 
1.7%
1993 3
2.5%
1994 6
5.0%
ValueCountFrequency (%)
2021 2
 
1.7%
2020 2
 
1.7%
2019 2
 
1.7%
2018 2
 
1.7%
2017 2
 
1.7%
2016 3
2.5%
2015 3
2.5%
2014 4
3.4%
2013 4
3.4%
2012 5
4.2%

노선명
Categorical

Distinct48
Distinct (%)40.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
북상면 산수리
10 
고제면 개명리
9 
북상면 소정리
8 
북상면 병곡리
 
7
가북면 중촌리
 
6
Other values (43)
79 

Length

Max length7
Median length7
Mean length6.9579832
Min length6

Unique

Unique25 ?
Unique (%)21.0%

Sample

1st row고제면 개명리
2nd row신원면 덕산리
3rd row북상면 산수리
4th row고제면 개명리
5th row고제면 개명리

Common Values

ValueCountFrequency (%)
북상면 산수리 10
 
8.4%
고제면 개명리 9
 
7.6%
북상면 소정리 8
 
6.7%
북상면 병곡리 7
 
5.9%
가북면 중촌리 6
 
5.0%
북상면 갈계리 5
 
4.2%
가조면 동례리 5
 
4.2%
고제면 농산리 5
 
4.2%
북상면 월성리 5
 
4.2%
위천면 당산리 4
 
3.4%
Other values (38) 55
46.2%

Length

2023-12-11T08:10:03.156112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
북상면 36
 
15.4%
고제면 18
 
7.7%
가조면 12
 
5.1%
산수리 10
 
4.3%
가북면 9
 
3.8%
개명리 9
 
3.8%
위천면 8
 
3.4%
소정리 8
 
3.4%
남상면 7
 
3.0%
병곡리 7
 
3.0%
Other values (48) 110
47.0%

위치(지번주소)
Text

Distinct109
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T08:10:03.465427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length21.176471
Min length19

Characters and Unicode

Total characters2520
Distinct characters86
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

Unique103 ?
Unique (%)86.6%

Sample

1st row경상남도 거창군 고제면 개명리 산48-1
2nd row경상남도 거창군 신원면 덕산리 산120-3
3rd row경상남도 거창군 북상면 산수리 산37-4
4th row경상남도 거창군 고제면 개명리 산23
5th row경상남도 거창군 고제면 개명리 산121
ValueCountFrequency (%)
경상남도 119
19.9%
거창군 119
19.9%
북상면 37
 
6.2%
고제면 18
 
3.0%
가조면 14
 
2.3%
산수리 10
 
1.7%
개명리 9
 
1.5%
가북면 9
 
1.5%
위천면 8
 
1.3%
소정리 7
 
1.2%
Other values (142) 247
41.4%
2023-12-11T08:10:04.003995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
478
19.0%
상 170
 
6.7%
산 145
 
5.8%
남 132
 
5.2%
리 122
 
4.8%
도 121
 
4.8%
거 121
 
4.8%
군 120
 
4.8%
경 119
 
4.7%
면 119
 
4.7%
Other values (76) 873
34.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1655
65.7%
Space Separator 478
 
19.0%
Decimal Number 345
 
13.7%
Dash Punctuation 42
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 170
10.3%
산 145
 
8.8%
남 132
 
8.0%
리 122
 
7.4%
도 121
 
7.3%
거 121
 
7.3%
군 120
 
7.3%
경 119
 
7.2%
면 119
 
7.2%
창 119
 
7.2%
Other values (64) 367
22.2%
Decimal Number
ValueCountFrequency (%)
1 99
28.7%
2 58
16.8%
3 31
 
9.0%
0 28
 
8.1%
7 26
 
7.5%
4 23
 
6.7%
6 22
 
6.4%
9 20
 
5.8%
8 19
 
5.5%
5 19
 
5.5%
Space Separator
ValueCountFrequency (%)
478
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1655
65.7%
Common 865
34.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 170
10.3%
산 145
 
8.8%
남 132
 
8.0%
리 122
 
7.4%
도 121
 
7.3%
거 121
 
7.3%
군 120
 
7.3%
경 119
 
7.2%
면 119
 
7.2%
창 119
 
7.2%
Other values (64) 367
22.2%
Common
ValueCountFrequency (%)
478
55.3%
1 99
 
11.4%
2 58
 
6.7%
- 42
 
4.9%
3 31
 
3.6%
0 28
 
3.2%
7 26
 
3.0%
4 23
 
2.7%
6 22
 
2.5%
9 20
 
2.3%
Other values (2) 38
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1655
65.7%
ASCII 865
34.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
478
55.3%
1 99
 
11.4%
2 58
 
6.7%
- 42
 
4.9%
3 31
 
3.6%
0 28
 
3.2%
7 26
 
3.0%
4 23
 
2.7%
6 22
 
2.5%
9 20
 
2.3%
Other values (2) 38
 
4.4%
Hangul
ValueCountFrequency (%)
상 170
10.3%
산 145
 
8.8%
남 132
 
8.0%
리 122
 
7.4%
도 121
 
7.3%
거 121
 
7.3%
군 120
 
7.3%
경 119
 
7.2%
면 119
 
7.2%
창 119
 
7.2%
Other values (64) 367
22.2%

연장(km)
Real number (ℝ)

Distinct68
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4321849
Minimum0.26
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T08:10:04.146471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.26
5-th percentile0.348
Q10.78
median1.1
Q32
95-th percentile3.523
Maximum5
Range4.74
Interquartile range (IQR)1.22

Descriptive statistics

Standard deviation0.98991539
Coefficient of variation (CV)0.69119246
Kurtosis2.5941265
Mean1.4321849
Median Absolute Deviation (MAD)0.48
Skewness1.5661673
Sum170.43
Variance0.97993247
MonotonicityNot monotonic
2023-12-11T08:10:04.290777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 7
 
5.9%
2.0 7
 
5.9%
0.7 5
 
4.2%
1.1 4
 
3.4%
0.9 3
 
2.5%
0.33 3
 
2.5%
1.5 3
 
2.5%
0.8 3
 
2.5%
2.1 3
 
2.5%
1.44 3
 
2.5%
Other values (58) 78
65.5%
ValueCountFrequency (%)
0.26 1
 
0.8%
0.3 2
1.7%
0.33 3
2.5%
0.35 1
 
0.8%
0.36 1
 
0.8%
0.4 2
1.7%
0.43 1
 
0.8%
0.44 1
 
0.8%
0.48 1
 
0.8%
0.5 1
 
0.8%
ValueCountFrequency (%)
5.0 1
0.8%
4.98 1
0.8%
4.24 1
0.8%
4.14 1
0.8%
4.0 2
1.7%
3.47 1
0.8%
3.32 1
0.8%
3.22 1
0.8%
3.0 1
0.8%
2.78 1
0.8%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2022-04-28
119 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-04-28
2nd row2022-04-28
3rd row2022-04-28
4th row2022-04-28
5th row2022-04-28

Common Values

ValueCountFrequency (%)
2022-04-28 119
100.0%

Length

2023-12-11T08:10:04.410128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:10:04.502089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-04-28 119
100.0%

Interactions

2023-12-11T08:10:02.096067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:10:01.885400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:10:02.209142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:10:01.995672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:10:04.555753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
개설년도노선명연장(km)
개설년도1.0000.6210.631
노선명0.6211.0000.750
연장(km)0.6310.7501.000
2023-12-11T08:10:04.641474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
개설년도연장(km)노선명
개설년도1.000-0.3470.216
연장(km)-0.3471.0000.290
노선명0.2160.2901.000

Missing values

2023-12-11T08:10:02.338368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:10:02.454951image/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

개설년도노선명위치(지번주소)연장(km)데이터기준일
01985고제면 개명리경상남도 거창군 고제면 개명리 산48-12.072022-04-28
11985신원면 덕산리경상남도 거창군 신원면 덕산리 산120-31.042022-04-28
21986북상면 산수리경상남도 거창군 북상면 산수리 산37-41.062022-04-28
31986고제면 개명리경상남도 거창군 고제면 개명리 산231.042022-04-28
41986고제면 개명리경상남도 거창군 고제면 개명리 산1211.02022-04-28
51987북상면 소정리경상남도 거창군 북상면 소정리 산1421.242022-04-28
61987고제면 개명리경상남도 거창군 고제면 개명리 산290-41.022022-04-28
71987주상면 거기리경상남도 거창군 주상면 거기리 산1821.072022-04-28
81988북상면 농산리경상남도 거창군 북상면 농산리 산441.022022-04-28
91988북상면 산수리경상남도 거창군 북상면 산수리 산30-11.062022-04-28
개설년도노선명위치(지번주소)연장(km)데이터기준일
1092017위천면 모동리경상남도 거창군 위천면 모동리 산1-11.62022-04-28
1102017신원면 양지리경상남도 거창군 신원면 양지리 산122-11.82022-04-28
1112018가조기리~동례경상남도 거창군 가조면 기리 산2210.882022-04-28
1122018마리영승~율리경상남도 거창군 마리면 영승 산11-11.522022-04-28
1132019가조기리~동례경상남도 거창군 가조면 기리 산131.072022-04-28
1142019북상갈계~소정경상남도 거창군 북상면 갈계리 산672.382022-04-28
1152020북상면 소정리경상남도 거창군 북상면 갈계리 산70-11.122022-04-28
1162020가조면 동례리경상남도 거창군 가조면 동례리 산620.72022-04-28
1172021북상면 갈계리경상남도 거창군 북상면 갈계리 산83-11.12022-04-28
1182021고제면 농산리경상남도 거창군 고제면 농산리 산143-10.92022-04-28