Overview

Dataset statistics

Number of variables7
Number of observations51
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory60.6 B

Variable types

Numeric2
Categorical4
Text1

Dataset

Description경상북도 청송군 석면조사대상건축물은 약 51동정도 되며, 건물명 동명 주소 연면적 위해성등급을 확인할 수 있습니다.
URLhttps://www.data.go.kr/data/3068114/fileData.do

Alerts

위해성등급 has constant value ""Constant
데이터기준일자 has constant value ""Constant
주소 is highly overall correlated with 건물명High correlation
건물명 is highly overall correlated with 주소High correlation
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:25:51.366189
Analysis finished2023-12-11 23:25:52.182744
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26
Minimum1
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-12T08:25:52.247501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.5
Q113.5
median26
Q338.5
95-th percentile48.5
Maximum51
Range50
Interquartile range (IQR)25

Descriptive statistics

Standard deviation14.866069
Coefficient of variation (CV)0.57177187
Kurtosis-1.2
Mean26
Median Absolute Deviation (MAD)13
Skewness0
Sum1326
Variance221
MonotonicityStrictly increasing
2023-12-12T08:25:52.380992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
2.0%
2 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
36 1
 
2.0%
Other values (41) 41
80.4%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
51 1
2.0%
50 1
2.0%
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%

건물명
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)49.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
경북북부제2교도소
14 
경북북부제1교도소
11 
경북직업훈련교도소
3 
청송양수발전소
 
2
청송119안전센터
 
1
Other values (20)
20 

Length

Max length13
Median length9
Mean length8.5882353
Min length4

Unique

Unique21 ?
Unique (%)41.2%

Sample

1st row현서농업협동조합
2nd row청송축산업협동조합
3rd row청송축협축사
4th row청송축협진보지점
5th row청송농업협동조합

Common Values

ValueCountFrequency (%)
경북북부제2교도소 14
27.5%
경북북부제1교도소 11
21.6%
경북직업훈련교도소 3
 
5.9%
청송양수발전소 2
 
3.9%
청송119안전센터 1
 
2.0%
노인여성회관 1
 
2.0%
구)부곡초등학교 1
 
2.0%
야송미술관 1
 
2.0%
청송군청 1
 
2.0%
한국전력공사 1
 
2.0%
Other values (15) 15
29.4%

Length

2023-12-12T08:25:52.513507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경북북부제2교도소 14
26.4%
경북북부제1교도소 11
20.8%
경북직업훈련교도소 3
 
5.7%
청송양수발전소 2
 
3.8%
한국전력공사 2
 
3.8%
구)월정초등학교 1
 
1.9%
청송농업협동조합 1
 
1.9%
광덕교직원연립사택 1
 
1.9%
청송축협축사 1
 
1.9%
청송축협진보지점 1
 
1.9%
Other values (16) 16
30.2%

동명
Text

Distinct45
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-12T08:25:52.706939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length5.0784314
Min length2

Characters and Unicode

Total characters259
Distinct characters102
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

Unique42 ?
Unique (%)82.4%

Sample

1st row현서농업협동조합
2nd row본점
3rd row우사
4th row1동
5th row부남지점
ValueCountFrequency (%)
1동 4
 
7.3%
교회당 3
 
5.5%
취사장 2
 
3.6%
수용2동 1
 
1.8%
청사 1
 
1.8%
정문 1
 
1.8%
취사장및후생시설 1
 
1.8%
아파트관리동 1
 
1.8%
경교대교육장 1
 
1.8%
수용실8동 1
 
1.8%
Other values (39) 39
70.9%
2023-12-12T08:25:53.032568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 19
 
7.3%
교 14
 
5.4%
사 13
 
5.0%
용 12
 
4.6%
수 12
 
4.6%
청 9
 
3.5%
1 6
 
2.3%
송 6
 
2.3%
관 6
 
2.3%
보 5
 
1.9%
Other values (92) 157
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 231
89.2%
Decimal Number 18
 
6.9%
Close Punctuation 4
 
1.5%
Space Separator 4
 
1.5%
Uppercase Letter 1
 
0.4%
Open Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 19
 
8.2%
교 14
 
6.1%
사 13
 
5.6%
용 12
 
5.2%
수 12
 
5.2%
청 9
 
3.9%
송 6
 
2.6%
관 6
 
2.6%
보 5
 
2.2%
원 5
 
2.2%
Other values (78) 130
56.3%
Decimal Number
ValueCountFrequency (%)
1 6
33.3%
8 2
 
11.1%
9 2
 
11.1%
0 2
 
11.1%
5 1
 
5.6%
6 1
 
5.6%
7 1
 
5.6%
4 1
 
5.6%
3 1
 
5.6%
2 1
 
5.6%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 231
89.2%
Common 27
 
10.4%
Latin 1
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 19
 
8.2%
교 14
 
6.1%
사 13
 
5.6%
용 12
 
5.2%
수 12
 
5.2%
청 9
 
3.9%
송 6
 
2.6%
관 6
 
2.6%
보 5
 
2.2%
원 5
 
2.2%
Other values (78) 130
56.3%
Common
ValueCountFrequency (%)
1 6
22.2%
) 4
14.8%
4
14.8%
8 2
 
7.4%
9 2
 
7.4%
0 2
 
7.4%
5 1
 
3.7%
6 1
 
3.7%
7 1
 
3.7%
4 1
 
3.7%
Other values (3) 3
11.1%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 231
89.2%
ASCII 28
 
10.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 19
 
8.2%
교 14
 
6.1%
사 13
 
5.6%
용 12
 
5.2%
수 12
 
5.2%
청 9
 
3.9%
송 6
 
2.6%
관 6
 
2.6%
보 5
 
2.2%
원 5
 
2.2%
Other values (78) 130
56.3%
ASCII
ValueCountFrequency (%)
1 6
21.4%
) 4
14.3%
4
14.3%
8 2
 
7.1%
9 2
 
7.1%
0 2
 
7.1%
5 1
 
3.6%
6 1
 
3.6%
7 1
 
3.6%
4 1
 
3.6%
Other values (4) 4
14.3%

주소
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)49.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
경상북도 청송군 진보면 양정길 110
14 
경상북도 청송군 진보면 양정길 231
14 
경상북도 청송군 청송읍 중앙로 266
 
1
경상북도 청송군 청송읍 길안청송로 1649
 
1
경상북도 청송군 진보면 진보로 118
 
1
Other values (20)
20 

Length

Max length24
Median length20
Mean length19.921569
Min length15

Unique

Unique23 ?
Unique (%)45.1%

Sample

1st row경상북도 청송군 현서면 구산북로 63
2nd row경상북도 청송군 청송읍 중앙로 266
3rd row경상북도 청송군 청송읍 길안청송로 1649
4th row경상북도 청송군 진보면 진보로 118
5th row경상북도 청송군 부남면 대전로 160

Common Values

ValueCountFrequency (%)
경상북도 청송군 진보면 양정길 110 14
27.5%
경상북도 청송군 진보면 양정길 231 14
27.5%
경상북도 청송군 청송읍 중앙로 266 1
 
2.0%
경상북도 청송군 청송읍 길안청송로 1649 1
 
2.0%
경상북도 청송군 진보면 진보로 118 1
 
2.0%
경상북도 청송군 부남면 대전로 160 1
 
2.0%
경상북도 청송군 진보면 경동로 4003 1
 
2.0%
경상북도 청송군 청송읍 의료원길 28 1
 
2.0%
경상북도 청송군 진보면 진보부곡길 17 1
 
2.0%
경상북도 청송군 진보면 경동로 5162 1
 
2.0%
Other values (15) 15
29.4%

Length

2023-12-12T08:25:53.156148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경상북도 51
20.6%
청송군 51
20.6%
진보면 34
13.8%
양정길 28
11.3%
110 14
 
5.7%
231 14
 
5.7%
청송읍 6
 
2.4%
경동로 5
 
2.0%
중앙로 3
 
1.2%
청송로 3
 
1.2%
Other values (36) 38
15.4%

연면적(제곱미터)
Real number (ℝ)

Distinct44
Distinct (%)86.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1620.928
Minimum538
Maximum7840
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-12T08:25:53.275218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum538
5-th percentile636.6
Q1824.98
median1504.26
Q31752.05
95-th percentile3289.885
Maximum7840
Range7302
Interquartile range (IQR)927.07

Descriptive statistics

Standard deviation1255.6325
Coefficient of variation (CV)0.77463805
Kurtosis13.811076
Mean1620.928
Median Absolute Deviation (MAD)288.76
Skewness3.3832887
Sum82667.33
Variance1576613.1
MonotonicityNot monotonic
2023-12-12T08:25:53.413918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
1504.26 5
 
9.8%
1695.57 3
 
5.9%
2065.0 2
 
3.9%
1247.72 1
 
2.0%
2280.0 1
 
2.0%
1507.84 1
 
2.0%
653.28 1
 
2.0%
4074.17 1
 
2.0%
2505.6 1
 
2.0%
1080.0 1
 
2.0%
Other values (34) 34
66.7%
ValueCountFrequency (%)
538.0 1
2.0%
620.0 1
2.0%
630.0 1
2.0%
643.2 1
2.0%
647.47 1
2.0%
652.32 1
2.0%
653.28 1
2.0%
665.28 1
2.0%
704.1 1
2.0%
726.29 1
2.0%
ValueCountFrequency (%)
7840.0 1
2.0%
5880.27 1
2.0%
4074.17 1
2.0%
2505.6 1
2.0%
2305.04 1
2.0%
2280.0 1
2.0%
2065.0 2
3.9%
1817.83 1
2.0%
1782.0 1
2.0%
1781.18 1
2.0%

위해성등급
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
낮음
51 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
낮음 51
100.0%

Length

2023-12-12T08:25:53.539062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:25:53.639948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
낮음 51
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-05-31
51 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-31
2nd row2023-05-31
3rd row2023-05-31
4th row2023-05-31
5th row2023-05-31

Common Values

ValueCountFrequency (%)
2023-05-31 51
100.0%

Length

2023-12-12T08:25:53.754587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:25:53.837244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-31 51
100.0%

Interactions

2023-12-12T08:25:51.818586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:25:51.655786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:25:51.915119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:25:51.726863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:25:53.900062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호건물명동명주소연면적(제곱미터)
번호1.0000.8830.5450.8450.418
건물명0.8831.0000.0001.0000.866
동명0.5450.0001.0000.6580.000
주소0.8451.0000.6581.0000.868
연면적(제곱미터)0.4180.8660.0000.8681.000
2023-12-12T08:25:53.998892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주소건물명
주소1.0000.959
건물명0.9591.000
2023-12-12T08:25:54.095265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호연면적(제곱미터)건물명주소
번호1.0000.2150.4580.345
연면적(제곱미터)0.2151.0000.4040.406
건물명0.4580.4041.0000.959
주소0.3450.4060.9591.000

Missing values

2023-12-12T08:25:52.024837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:25:52.134332image/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

번호건물명동명주소연면적(제곱미터)위해성등급데이터기준일자
01현서농업협동조합현서농업협동조합경상북도 청송군 현서면 구산북로 631247.72낮음2023-05-31
12청송축산업협동조합본점경상북도 청송군 청송읍 중앙로 266726.29낮음2023-05-31
23청송축협축사우사경상북도 청송군 청송읍 길안청송로 16491441.0낮음2023-05-31
34청송축협진보지점1동경상북도 청송군 진보면 진보로 118735.52낮음2023-05-31
45청송농업협동조합부남지점경상북도 청송군 부남면 대전로 160866.53낮음2023-05-31
56성덕의료법인 청송진보병원성덕의료법인 청송진보병원경상북도 청송군 진보면 경동로 40035880.27낮음2023-05-31
67노인여성회관노인여성회관경상북도 청송군 청송읍 의료원길 281215.5낮음2023-05-31
78구)부곡초등학교구)부곡초등학교경상북도 청송군 진보면 진보부곡길 17745.2낮음2023-05-31
89야송미술관야송미술관경상북도 청송군 진보면 경동로 51621543.08낮음2023-05-31
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