Overview

Dataset statistics

Number of variables5
Number of observations136
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.7 KiB
Average record size in memory42.9 B

Variable types

Numeric2
Text3

Dataset

Description석면안전관리법에 의거하여 전북특별자치도 군산시 소재한 석면조사 대상의 데이터로 건축물의 건물명,주소,연면적 등을 제공함
Author전북특별자치도 군산시
URLhttps://www.data.go.kr/data/3068148/fileData.do

Alerts

번호 has unique valuesUnique
연면적 has unique valuesUnique

Reproduction

Analysis started2024-03-14 11:45:01.346710
Analysis finished2024-03-14 11:45:03.714311
Duration2.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct136
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.5
Minimum1
Maximum136
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-14T20:45:03.933746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.75
Q134.75
median68.5
Q3102.25
95-th percentile129.25
Maximum136
Range135
Interquartile range (IQR)67.5

Descriptive statistics

Standard deviation39.403892
Coefficient of variation (CV)0.57523929
Kurtosis-1.2
Mean68.5
Median Absolute Deviation (MAD)34
Skewness0
Sum9316
Variance1552.6667
MonotonicityStrictly increasing
2024-03-14T20:45:04.614365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
95 1
 
0.7%
89 1
 
0.7%
90 1
 
0.7%
91 1
 
0.7%
92 1
 
0.7%
93 1
 
0.7%
94 1
 
0.7%
96 1
 
0.7%
70 1
 
0.7%
Other values (126) 126
92.6%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
136 1
0.7%
135 1
0.7%
134 1
0.7%
133 1
0.7%
132 1
0.7%
131 1
0.7%
130 1
0.7%
129 1
0.7%
128 1
0.7%
127 1
0.7%

건물명
Text

Distinct72
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-14T20:45:05.380947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length6.9779412
Min length4

Characters and Unicode

Total characters949
Distinct characters164
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

Unique60 ?
Unique (%)44.1%

Sample

1st row한빛의료재단 행복한노인요양병원
2nd row베데스다요양원
3rd row정다운요양원
4th row생수사우나n헬스클럽
5th row강남재가노인복지센터
ValueCountFrequency (%)
호원대학교 22
 
14.6%
군산교도소 13
 
8.6%
군산대학교 13
 
8.6%
군장대학 6
 
4.0%
군산공공하수처리장 5
 
3.3%
군산간호대학교 4
 
2.6%
군산시수협 4
 
2.6%
전북인력개발원 4
 
2.6%
한국전력공사 3
 
2.0%
군산농협 2
 
1.3%
Other values (70) 75
49.7%
2024-03-14T20:45:06.567222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 76
 
8.0%
군 75
 
7.9%
교 52
 
5.5%
학 51
 
5.4%
대 45
 
4.7%
원 38
 
4.0%
호 26
 
2.7%
소 22
 
2.3%
장 18
 
1.9%
도 17
 
1.8%
Other values (154) 529
55.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 904
95.3%
Space Separator 16
 
1.7%
Close Punctuation 7
 
0.7%
Open Punctuation 7
 
0.7%
Decimal Number 7
 
0.7%
Uppercase Letter 5
 
0.5%
Other Punctuation 2
 
0.2%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 76
 
8.4%
군 75
 
8.3%
교 52
 
5.8%
학 51
 
5.6%
대 45
 
5.0%
원 38
 
4.2%
호 26
 
2.9%
소 22
 
2.4%
장 18
 
2.0%
도 17
 
1.9%
Other values (143) 484
53.5%
Uppercase Letter
ValueCountFrequency (%)
B 2
40.0%
K 1
20.0%
I 1
20.0%
A 1
20.0%
Decimal Number
ValueCountFrequency (%)
2 4
57.1%
1 3
42.9%
Space Separator
ValueCountFrequency (%)
16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
n 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 904
95.3%
Common 39
 
4.1%
Latin 6
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 76
 
8.4%
군 75
 
8.3%
교 52
 
5.8%
학 51
 
5.6%
대 45
 
5.0%
원 38
 
4.2%
호 26
 
2.9%
소 22
 
2.4%
장 18
 
2.0%
도 17
 
1.9%
Other values (143) 484
53.5%
Common
ValueCountFrequency (%)
16
41.0%
) 7
17.9%
( 7
17.9%
2 4
 
10.3%
1 3
 
7.7%
, 2
 
5.1%
Latin
ValueCountFrequency (%)
B 2
33.3%
K 1
16.7%
I 1
16.7%
A 1
16.7%
n 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 904
95.3%
ASCII 45
 
4.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 76
 
8.4%
군 75
 
8.3%
교 52
 
5.8%
학 51
 
5.6%
대 45
 
5.0%
원 38
 
4.2%
호 26
 
2.9%
소 22
 
2.4%
장 18
 
2.0%
도 17
 
1.9%
Other values (143) 484
53.5%
ASCII
ValueCountFrequency (%)
16
35.6%
) 7
15.6%
( 7
15.6%
2 4
 
8.9%
1 3
 
6.7%
, 2
 
4.4%
B 2
 
4.4%
K 1
 
2.2%
I 1
 
2.2%
A 1
 
2.2%

건물해당동명
Text

Distinct111
Distinct (%)81.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-14T20:45:07.446818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length5.3823529
Min length2

Characters and Unicode

Total characters732
Distinct characters172
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

Unique108 ?
Unique (%)79.4%

Sample

1st row본관
2nd row본관
3rd row본관
4th row생수사우나n헬스클럽
5th row강남재가노인복지센터
ValueCountFrequency (%)
본관 18
 
11.2%
본관동 8
 
5.0%
및 5
 
3.1%
강의동 5
 
3.1%
1동 3
 
1.9%
2동 2
 
1.2%
주민센터 2
 
1.2%
창고 2
 
1.2%
면사무소 2
 
1.2%
의무병사 1
 
0.6%
Other values (112) 112
70.0%
2024-03-14T20:45:08.783051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 59
 
8.1%
동 46
 
6.3%
본 28
 
3.8%
25
 
3.4%
사 22
 
3.0%
산 15
 
2.0%
실 14
 
1.9%
장 13
 
1.8%
제 12
 
1.6%
1 12
 
1.6%
Other values (162) 486
66.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 644
88.0%
Decimal Number 35
 
4.8%
Space Separator 25
 
3.4%
Close Punctuation 9
 
1.2%
Open Punctuation 8
 
1.1%
Other Punctuation 8
 
1.1%
Uppercase Letter 2
 
0.3%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 59
 
9.2%
동 46
 
7.1%
본 28
 
4.3%
사 22
 
3.4%
산 15
 
2.3%
실 14
 
2.2%
장 13
 
2.0%
제 12
 
1.9%
군 11
 
1.7%
기 11
 
1.7%
Other values (149) 413
64.1%
Decimal Number
ValueCountFrequency (%)
1 12
34.3%
2 11
31.4%
3 6
17.1%
4 4
 
11.4%
5 2
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 7
87.5%
. 1
 
12.5%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Lowercase Letter
ValueCountFrequency (%)
n 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 644
88.0%
Common 85
 
11.6%
Latin 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 59
 
9.2%
동 46
 
7.1%
본 28
 
4.3%
사 22
 
3.4%
산 15
 
2.3%
실 14
 
2.2%
장 13
 
2.0%
제 12
 
1.9%
군 11
 
1.7%
기 11
 
1.7%
Other values (149) 413
64.1%
Common
ValueCountFrequency (%)
25
29.4%
1 12
14.1%
2 11
12.9%
) 9
 
10.6%
( 8
 
9.4%
, 7
 
8.2%
3 6
 
7.1%
4 4
 
4.7%
5 2
 
2.4%
. 1
 
1.2%
Latin
ValueCountFrequency (%)
B 1
33.3%
A 1
33.3%
n 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 644
88.0%
ASCII 88
 
12.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 59
 
9.2%
동 46
 
7.1%
본 28
 
4.3%
사 22
 
3.4%
산 15
 
2.3%
실 14
 
2.2%
장 13
 
2.0%
제 12
 
1.9%
군 11
 
1.7%
기 11
 
1.7%
Other values (149) 413
64.1%
ASCII
ValueCountFrequency (%)
25
28.4%
1 12
13.6%
2 11
12.5%
) 9
 
10.2%
( 8
 
9.1%
, 7
 
8.0%
3 6
 
6.8%
4 4
 
4.5%
5 2
 
2.3%
. 1
 
1.1%
Other values (3) 3
 
3.4%

주소(도로명)
Text

Distinct100
Distinct (%)73.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-14T20:45:09.734136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length46
Mean length34.463235
Min length23

Characters and Unicode

Total characters4687
Distinct characters237
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

Unique93 ?
Unique (%)68.4%

Sample

1st row전북특별자치도 군산시 옥구읍 수산길 71-21(행복한노인요양병)
2nd row전북특별자치도 군산시 서수면 신중용1길 23(베데스다)
3rd row전북특별자치도 군산시 쌍천로 37 (개정동)(정다운요양병원)
4th row전북특별자치도 군산시 상나운1길 20 (나운동)나운동
5th row전북특별자치도 군산시 설림5길 76-18 (소룡동)(두리어린이집) 하버드어린이집
ValueCountFrequency (%)
전북특별자치도 137
18.1%
군산시 137
18.1%
임피면 25
 
3.3%
64(호원대학교 22
 
2.9%
호원대3길 22
 
2.9%
옥구읍 16
 
2.1%
대학로 16
 
2.1%
할미로 13
 
1.7%
558 13
 
1.7%
미룡동)군산대학교 13
 
1.7%
Other values (251) 342
45.2%
2024-03-14T20:45:11.157660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
620
 
13.2%
산 231
 
4.9%
군 208
 
4.4%
) 169
 
3.6%
( 168
 
3.6%
도 161
 
3.4%
전 148
 
3.2%
시 143
 
3.1%
자 142
 
3.0%
북 142
 
3.0%
Other values (227) 2555
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3266
69.7%
Space Separator 620
 
13.2%
Decimal Number 435
 
9.3%
Close Punctuation 169
 
3.6%
Open Punctuation 168
 
3.6%
Dash Punctuation 18
 
0.4%
Other Punctuation 8
 
0.2%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 231
 
7.1%
군 208
 
6.4%
도 161
 
4.9%
전 148
 
4.5%
시 143
 
4.4%
자 142
 
4.3%
북 142
 
4.3%
특 138
 
4.2%
별 138
 
4.2%
치 138
 
4.2%
Other values (208) 1677
51.3%
Decimal Number
ValueCountFrequency (%)
1 83
19.1%
2 67
15.4%
3 63
14.5%
4 46
10.6%
7 40
9.2%
5 39
9.0%
8 34
7.8%
6 32
 
7.4%
9 24
 
5.5%
0 7
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
K 1
33.3%
B 1
33.3%
I 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 4
50.0%
, 4
50.0%
Space Separator
ValueCountFrequency (%)
620
100.0%
Close Punctuation
ValueCountFrequency (%)
) 169
100.0%
Open Punctuation
ValueCountFrequency (%)
( 168
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3266
69.7%
Common 1418
30.3%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 231
 
7.1%
군 208
 
6.4%
도 161
 
4.9%
전 148
 
4.5%
시 143
 
4.4%
자 142
 
4.3%
북 142
 
4.3%
특 138
 
4.2%
별 138
 
4.2%
치 138
 
4.2%
Other values (208) 1677
51.3%
Common
ValueCountFrequency (%)
620
43.7%
) 169
 
11.9%
( 168
 
11.8%
1 83
 
5.9%
2 67
 
4.7%
3 63
 
4.4%
4 46
 
3.2%
7 40
 
2.8%
5 39
 
2.8%
8 34
 
2.4%
Other values (6) 89
 
6.3%
Latin
ValueCountFrequency (%)
K 1
33.3%
B 1
33.3%
I 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3266
69.7%
ASCII 1421
30.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
620
43.6%
) 169
 
11.9%
( 168
 
11.8%
1 83
 
5.8%
2 67
 
4.7%
3 63
 
4.4%
4 46
 
3.2%
7 40
 
2.8%
5 39
 
2.7%
8 34
 
2.4%
Other values (9) 92
 
6.5%
Hangul
ValueCountFrequency (%)
산 231
 
7.1%
군 208
 
6.4%
도 161
 
4.9%
전 148
 
4.5%
시 143
 
4.4%
자 142
 
4.3%
북 142
 
4.3%
특 138
 
4.2%
별 138
 
4.2%
치 138
 
4.2%
Other values (208) 1677
51.3%

연면적
Real number (ℝ)

UNIQUE 

Distinct136
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2997.4487
Minimum57
Maximum29984.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-14T20:45:11.560974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57
5-th percentile444.27
Q1720.735
median1716.32
Q33161.7825
95-th percentile8962.9875
Maximum29984.52
Range29927.52
Interquartile range (IQR)2441.0475

Descriptive statistics

Standard deviation4260.7365
Coefficient of variation (CV)1.4214544
Kurtosis19.688405
Mean2997.4487
Median Absolute Deviation (MAD)1042.395
Skewness3.9752517
Sum407653.02
Variance18153876
MonotonicityNot monotonic
2024-03-14T20:45:11.995786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1246.72 1
 
0.7%
3845.2 1
 
0.7%
2279.78 1
 
0.7%
511.2 1
 
0.7%
903.7 1
 
0.7%
920.52 1
 
0.7%
1754.64 1
 
0.7%
2573.37 1
 
0.7%
636.0 1
 
0.7%
859.71 1
 
0.7%
Other values (126) 126
92.6%
ValueCountFrequency (%)
57.0 1
0.7%
120.0 1
0.7%
133.18 1
0.7%
216.66 1
0.7%
254.35 1
0.7%
326.88 1
0.7%
370.92 1
0.7%
468.72 1
0.7%
511.2 1
0.7%
523.68 1
0.7%
ValueCountFrequency (%)
29984.52 1
0.7%
26261.1 1
0.7%
21779.84 1
0.7%
12561.19 1
0.7%
9601.3 1
0.7%
9444.96 1
0.7%
9055.62 1
0.7%
8932.11 1
0.7%
8851.32 1
0.7%
8277.57 1
0.7%

Interactions

2024-03-14T20:45:02.678059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:45:02.157639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:45:02.937214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:45:02.414468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T20:45:12.256118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호건물명주소(도로명)연면적
번호1.0000.9630.9860.336
건물명0.9631.0000.9990.000
주소(도로명)0.9860.9991.0000.851
연면적0.3360.0000.8511.000
2024-03-14T20:45:12.499658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호연면적
번호1.000-0.215
연면적-0.2151.000

Missing values

2024-03-14T20:45:03.269772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T20:45:03.588619image/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

번호건물명건물해당동명주소(도로명)연면적
01한빛의료재단 행복한노인요양병원본관전북특별자치도 군산시 옥구읍 수산길 71-21(행복한노인요양병)1246.72
12베데스다요양원본관전북특별자치도 군산시 서수면 신중용1길 23(베데스다)598.18
23정다운요양원본관전북특별자치도 군산시 쌍천로 37 (개정동)(정다운요양병원)709.05
34생수사우나n헬스클럽생수사우나n헬스클럽전북특별자치도 군산시 상나운1길 20 (나운동)나운동2354.3
45강남재가노인복지센터강남재가노인복지센터전북특별자치도 군산시 설림5길 76-18 (소룡동)(두리어린이집) 하버드어린이집988.51
56군산종합사회복지관군산종합사회복지관(늘푸른어린이집)전북특별자치도 군산시 칠성로 59 (산북동)(늘푸른어린이집) 군산종합사회복지관1674.0
67군산요양병원군산요양병원전북특별자치도 군산시 하나운3길 18 (나운동)(군산요양병원) 군산한방병원3055.28
78동군산장례식장(한사랑병원 2동)동군산장례식장(한사랑병원 2동)전북특별자치도 군산시 조촌로 149 (조촌동)(동군산병원) 동군산장례식장2332.74
89봉정요양원봉정요양원전북특별자치도 군산시 쌍천로 82-3 (개정동)(봉정요양원)2398.0
910봉정요양병원봉정요양병원전북특별자치도 군산시 쌍천로 82-3 (개정동)(봉정요양원) 봉정요양병원7052.26
번호건물명건물해당동명주소(도로명)연면적
126127익산군산축협군산지점익산군산축협전북특별자치도 군산시 삼학8길 18 (삼학동)(익산군산축협)1587.2
127128IBK기업은행 군산지점본관동전북특별자치도 군산시 중앙로 191 (중앙로1가)(IBK기업은행군산지점)2093.0
128129군산의료원본관전북특별자치도 군산시 의료원로 27 (지곡동)(군산의료원) 전북특별자치도 군산의료원26261.1
129130김정형외과본관동전북특별자치도 군산시 대학로 46-1 (신창동)(김정형외과)685.82
130131모세병원본관전북특별자치도 군산시 문화로 47 (수송동)모세병원1586.4
131132양지산부인과양지산부인과전북특별자치도 군산시 상나운안길 61 (나운동)(양지산부인과)2204.99
132133군산시 청소년수련관수련원동전북특별자치도 군산시 청소년회관로 75 (송풍동)6540.88
133134행복한새싹어린이집행복한새싹어린이집 1층,2층전북특별자치도 군산시 동안길 24-12, 행복한새싹어린이집 (개정동)326.88
134135햇님어린이집햇님어린이집전북특별자치도 군산시 풍문안2길 33, 햇님어린이집 (미원동)370.92
135136개야도어린이집개야도어린이집전북특별자치도 군산시 옥도면 개야도1길 47, 개야도 어린이집133.18