Overview

Dataset statistics

Number of variables10
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory86.0 B

Variable types

Categorical6
Text2
Numeric2

Dataset

Description광주교통공사 건축물내진실태현황에 대한 데이터로 역별위치, 연면적, 평가등급, 내진설계 적용여부 현황 등 정보를 제공합니다.
Author광주교통공사
URLhttps://www.data.go.kr/data/15045352/fileData.do

Alerts

구분도로별 has constant value ""Constant
노선명 has constant value ""Constant
관리기관 has constant value ""Constant
평가등급 has constant value ""Constant
연면적(지하승강장제외) is highly overall correlated with 층수(지하-지상) and 1 other fieldsHigh correlation
층수(지하-지상) is highly overall correlated with 연면적(지하승강장제외) and 1 other fieldsHigh correlation
내진설계 적용여부(내진설계기준 제정 전-후) is highly overall correlated with 연면적(지하승강장제외) and 1 other fieldsHigh correlation
건물명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:41:50.737708
Analysis finished2023-12-12 05:41:51.717075
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분도로별
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
도시철도
33 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
도시철도 33
100.0%

Length

2023-12-12T14:41:51.805802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:41:51.897563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도시철도 33
100.0%

노선명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
1호선
33 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1호선
2nd row1호선
3rd row1호선
4th row1호선
5th row1호선

Common Values

ValueCountFrequency (%)
1호선 33
100.0%

Length

2023-12-12T14:41:51.999409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:41:52.123716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1호선 33
100.0%

건물명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T14:41:52.299800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length6.9393939
Min length3

Characters and Unicode

Total characters229
Distinct characters81
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

Unique33 ?
Unique (%)100.0%

Sample

1st row녹동역
2nd row소태역
3rd row학동·증심사입구역
4th row남광주역
5th row문화전당역
ValueCountFrequency (%)
용산차량기지 8
 
17.4%
옥동차량기지 3
 
6.5%
소태역 2
 
4.3%
종합관리동 2
 
4.3%
모타카고 2
 
4.3%
변전소 2
 
4.3%
도산역 1
 
2.2%
평동역 1
 
2.2%
정비고 1
 
2.2%
검사고 1
 
2.2%
Other values (23) 23
50.0%
2023-12-12T14:41:52.698221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
역 22
 
9.6%
13
 
5.7%
차 12
 
5.2%
량 11
 
4.8%
기 11
 
4.8%
지 11
 
4.8%
동 10
 
4.4%
산 9
 
3.9%
용 8
 
3.5%
고 7
 
3.1%
Other values (71) 115
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 213
93.0%
Space Separator 13
 
5.7%
Decimal Number 2
 
0.9%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
역 22
 
10.3%
차 12
 
5.6%
량 11
 
5.2%
기 11
 
5.2%
지 11
 
5.2%
동 10
 
4.7%
산 9
 
4.2%
용 8
 
3.8%
고 7
 
3.3%
전 4
 
1.9%
Other values (67) 108
50.7%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
5 1
50.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 213
93.0%
Common 16
 
7.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
역 22
 
10.3%
차 12
 
5.6%
량 11
 
5.2%
기 11
 
5.2%
지 11
 
5.2%
동 10
 
4.7%
산 9
 
4.2%
용 8
 
3.8%
고 7
 
3.3%
전 4
 
1.9%
Other values (67) 108
50.7%
Common
ValueCountFrequency (%)
13
81.2%
· 1
 
6.2%
4 1
 
6.2%
5 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 213
93.0%
ASCII 15
 
6.6%
None 1
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
역 22
 
10.3%
차 12
 
5.6%
량 11
 
5.2%
기 11
 
5.2%
지 11
 
5.2%
동 10
 
4.7%
산 9
 
4.2%
용 8
 
3.8%
고 7
 
3.3%
전 4
 
1.9%
Other values (67) 108
50.7%
ASCII
ValueCountFrequency (%)
13
86.7%
4 1
 
6.7%
5 1
 
6.7%
None
ValueCountFrequency (%)
· 1
100.0%

관리기관
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
광주교통공사
33 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광주교통공사 33
100.0%

Length

2023-12-12T14:41:52.834180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:41:52.928451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광주교통공사 33
100.0%

위 치
Text

Distinct18
Distinct (%)54.5%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T14:41:53.092751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.151515
Min length9

Characters and Unicode

Total characters335
Distinct characters33
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

Unique12 ?
Unique (%)36.4%

Sample

1st row광주시 동구 월남동
2nd row광주시 동구 소태동
3rd row광주시 동구 학동
4th row광주시 동구 학동
5th row광주시 동구 광산동
ValueCountFrequency (%)
광주시 33
33.3%
동구 16
16.2%
용산동 9
 
9.1%
서구 9
 
9.1%
광산구 8
 
8.1%
마륵동 3
 
3.0%
옥동 3
 
3.0%
쌍촌동 2
 
2.0%
학동 2
 
2.0%
신촌동 2
 
2.0%
Other values (12) 12
 
12.1%
2023-12-12T14:41:53.425179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
66
19.7%
동 47
14.0%
광 42
12.5%
구 33
9.9%
주 33
9.9%
시 33
9.9%
산 20
 
6.0%
용 9
 
2.7%
서 9
 
2.7%
촌 4
 
1.2%
Other values (23) 39
11.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 267
79.7%
Space Separator 66
 
19.7%
Decimal Number 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 47
17.6%
광 42
15.7%
구 33
12.4%
주 33
12.4%
시 33
12.4%
산 20
7.5%
용 9
 
3.4%
서 9
 
3.4%
촌 4
 
1.5%
남 3
 
1.1%
Other values (20) 34
12.7%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
5 1
50.0%
Space Separator
ValueCountFrequency (%)
66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 267
79.7%
Common 68
 
20.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 47
17.6%
광 42
15.7%
구 33
12.4%
주 33
12.4%
시 33
12.4%
산 20
7.5%
용 9
 
3.4%
서 9
 
3.4%
촌 4
 
1.5%
남 3
 
1.1%
Other values (20) 34
12.7%
Common
ValueCountFrequency (%)
66
97.1%
4 1
 
1.5%
5 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 267
79.7%
ASCII 68
 
20.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
66
97.1%
4 1
 
1.5%
5 1
 
1.5%
Hangul
ValueCountFrequency (%)
동 47
17.6%
광 42
15.7%
구 33
12.4%
주 33
12.4%
시 33
12.4%
산 20
7.5%
용 9
 
3.4%
서 9
 
3.4%
촌 4
 
1.5%
남 3
 
1.1%
Other values (20) 34
12.7%

연면적(지하승강장제외)
Real number (ℝ)

HIGH CORRELATION 

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5559.0388
Minimum360
Maximum27849
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-12T14:41:53.859261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum360
5-th percentile430.4
Q12970
median4927.64
Q36223.69
95-th percentile14035.6
Maximum27849
Range27489
Interquartile range (IQR)3253.69

Descriptive statistics

Standard deviation5281.0119
Coefficient of variation (CV)0.94998652
Kurtosis9.6527518
Mean5559.0388
Median Absolute Deviation (MAD)1957.64
Skewness2.6705578
Sum183448.28
Variance27889087
MonotonicityNot monotonic
2023-12-12T14:41:54.008778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
864.0 2
 
6.1%
428.0 1
 
3.0%
3941.42 1
 
3.0%
432.0 1
 
3.0%
360.0 1
 
3.0%
576.0 1
 
3.0%
1008.0 1
 
3.0%
2970.0 1
 
3.0%
27849.0 1
 
3.0%
3178.0 1
 
3.0%
Other values (22) 22
66.7%
ValueCountFrequency (%)
360.0 1
3.0%
428.0 1
3.0%
432.0 1
3.0%
576.0 1
3.0%
864.0 2
6.1%
1008.0 1
3.0%
2742.0 1
3.0%
2970.0 1
3.0%
3178.0 1
3.0%
3819.02 1
3.0%
ValueCountFrequency (%)
27849.0 1
3.0%
16366.0 1
3.0%
12482.0 1
3.0%
8873.69 1
3.0%
8273.11 1
3.0%
7210.0 1
3.0%
6972.81 1
3.0%
6885.4 1
3.0%
6223.69 1
3.0%
6145.46 1
3.0%

층수(지하-지상)
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)30.3%
Missing0
Missing (%)0.0%
Memory size396.0 B
(2-0)
11 
(0-1)
7 
(3-0)
5 
(4-0)
2 
(1-2)
2 
Other values (5)
6 

Length

Max length6
Median length5
Mean length5.030303
Min length5

Unique

Unique4 ?
Unique (%)12.1%

Sample

1st row(0-1)
2nd row(2-0)
3rd row(2-0)
4th row(2-0)
5th row(4-0)

Common Values

ValueCountFrequency (%)
(2-0) 11
33.3%
(0-1) 7
21.2%
(3-0) 5
15.2%
(4-0) 2
 
6.1%
(1-2) 2
 
6.1%
(1-3) 2
 
6.1%
(0-2) 1
 
3.0%
(1-6) 1
 
3.0%
(0-5) 1
 
3.0%
(3-10) 1
 
3.0%

Length

2023-12-12T14:41:54.131865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:41:54.274484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2-0 11
33.3%
0-1 7
21.2%
3-0 5
15.2%
4-0 2
 
6.1%
1-2 2
 
6.1%
1-3 2
 
6.1%
0-2 1
 
3.0%
1-6 1
 
3.0%
0-5 1
 
3.0%
3-10 1
 
3.0%

평가등급
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
내진1등급
33 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row내진1등급
2nd row내진1등급
3rd row내진1등급
4th row내진1등급
5th row내진1등급

Common Values

ValueCountFrequency (%)
내진1등급 33
100.0%

Length

2023-12-12T14:41:54.422158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:41:54.515627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
내진1등급 33
100.0%

준공연도
Real number (ℝ)

Distinct6
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2003.697
Minimum2001
Maximum2007
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-12T14:41:54.596364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2001
5-th percentile2001
Q12002
median2004
Q32006
95-th percentile2007
Maximum2007
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.1576151
Coefficient of variation (CV)0.0010768171
Kurtosis-1.1962311
Mean2003.697
Median Absolute Deviation (MAD)2
Skewness0.29921665
Sum66122
Variance4.655303
MonotonicityNot monotonic
2023-12-12T14:41:54.695995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2004 9
27.3%
2001 7
21.2%
2007 6
18.2%
2002 5
15.2%
2003 3
 
9.1%
2006 3
 
9.1%
ValueCountFrequency (%)
2001 7
21.2%
2002 5
15.2%
2003 3
 
9.1%
2004 9
27.3%
2006 3
 
9.1%
2007 6
18.2%
ValueCountFrequency (%)
2007 6
18.2%
2006 3
 
9.1%
2004 9
27.3%
2003 3
 
9.1%
2002 5
15.2%
2001 7
21.2%

내진설계 적용여부(내진설계기준 제정 전-후)
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
적용(제정전)
29 
적용(제정후)
4 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row적용(제정전)
2nd row적용(제정전)
3rd row적용(제정전)
4th row적용(제정전)
5th row적용(제정전)

Common Values

ValueCountFrequency (%)
적용(제정전) 29
87.9%
적용(제정후) 4
 
12.1%

Length

2023-12-12T14:41:54.816209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:41:54.947658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적용(제정전 29
87.9%
적용(제정후 4
 
12.1%

Interactions

2023-12-12T14:41:51.231703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:41:51.044455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:41:51.333865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:41:51.146452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:41:55.040269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건물명위 치연면적(지하승강장제외)층수(지하-지상)준공연도내진설계 적용여부(내진설계기준 제정 전-후)
건물명1.0001.0001.0001.0001.0001.000
위 치1.0001.0000.0000.0000.9080.000
연면적(지하승강장제외)1.0000.0001.0000.8610.5090.759
층수(지하-지상)1.0000.0000.8611.0000.9211.000
준공연도1.0000.9080.5090.9211.0000.122
내진설계 적용여부(내진설계기준 제정 전-후)1.0000.0000.7591.0000.1221.000
2023-12-12T14:41:55.170750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
층수(지하-지상)내진설계 적용여부(내진설계기준 제정 전-후)
층수(지하-지상)1.0000.861
내진설계 적용여부(내진설계기준 제정 전-후)0.8611.000
2023-12-12T14:41:55.272191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연면적(지하승강장제외)준공연도층수(지하-지상)내진설계 적용여부(내진설계기준 제정 전-후)
연면적(지하승강장제외)1.000-0.3980.6330.755
준공연도-0.3981.0000.4980.221
층수(지하-지상)0.6330.4981.0000.861
내진설계 적용여부(내진설계기준 제정 전-후)0.7550.2210.8611.000

Missing values

2023-12-12T14:41:51.472209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:41:51.632745image/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

구분도로별노선명건물명관리기관위 치연면적(지하승강장제외)층수(지하-지상)평가등급준공연도내진설계 적용여부(내진설계기준 제정 전-후)
0도시철도1호선녹동역광주교통공사광주시 동구 월남동428.0(0-1)내진1등급2004적용(제정전)
1도시철도1호선소태역광주교통공사광주시 동구 소태동7210.0(2-0)내진1등급2001적용(제정전)
2도시철도1호선학동·증심사입구역광주교통공사광주시 동구 학동4004.38(2-0)내진1등급2002적용(제정전)
3도시철도1호선남광주역광주교통공사광주시 동구 학동6223.69(2-0)내진1등급2002적용(제정전)
4도시철도1호선문화전당역광주교통공사광주시 동구 광산동5396.54(4-0)내진1등급2003적용(제정전)
5도시철도1호선금남로4가역광주교통공사광주시 동구 금남로4가8873.69(4-0)내진1등급2003적용(제정전)
6도시철도1호선금남로5가역광주교통공사광주시 동구 금남로5가6145.46(3-0)내진1등급2001적용(제정전)
7도시철도1호선양동시장역광주교통공사광주시 서구 양동6119.44(3-0)내진1등급2002적용(제정전)
8도시철도1호선돌고개역광주교통공사광주시 서구 월산동4252.87(3-0)내진1등급2002적용(제정전)
9도시철도1호선농성역광주교통공사광주시 서구 농성동8273.11(2-0)내진1등급2001적용(제정전)
구분도로별노선명건물명관리기관위 치연면적(지하승강장제외)층수(지하-지상)평가등급준공연도내진설계 적용여부(내진설계기준 제정 전-후)
23도시철도1호선용산차량기지 복리후생동광주교통공사광주시 동구 용산동2742.0(1-3)내진1등급2004적용(제정전)
24도시철도1호선소태역 역세권주차장광주교통공사광주시 동구 용산동3178.0(0-5)내진1등급2003적용(제정전)
25도시철도1호선광주도시철도 종합사령실광주교통공사광주시 서구 마륵동27849.0(3-10)내진1등급2002적용(제정후)
26도시철도1호선옥동차량기지 종합관리동광주교통공사광주시 광산구 옥동2970.0(1-3)내진1등급2007적용(제정전)
27도시철도1호선용산차량기지 종합창고광주교통공사광주시 동구 용산동1008.0(0-1)내진1등급2004적용(제정전)
28도시철도1호선용산차량기지 변전소광주교통공사광주시 동구 용산동864.0(0-1)내진1등급2004적용(제정전)
29도시철도1호선용산차량기지 모타카고광주교통공사광주시 동구 용산동576.0(0-1)내진1등급2004적용(제정전)
30도시철도1호선옥동차량기지 변전소광주교통공사광주시 광산구 옥동864.0(0-1)내진1등급2007적용(제정전)
31도시철도1호선용산차량기지 전삭고광주교통공사광주시 동구 용산동360.0(0-1)내진1등급2004적용(제정전)
32도시철도1호선옥동차량기지 모타카고광주교통공사광주시 광산구 옥동432.0(0-1)내진1등급2007적용(제정전)