Overview

Dataset statistics

Number of variables5
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory46.0 B

Variable types

Numeric2
Text2
DateTime1

Dataset

Description충청남도 보령시 기계설비 성능 점검대상 건축물 데이터로 건물명, 면적 및 세대(아파트의 경우 세대수), 소재지 주소, 데이터 기준일자 항목을 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=36&beforeMenuCd=DOM_000000201001001000&publicdatapk=15117386

Alerts

데이터기준일자 has constant value ""Constant
일련번호 has unique valuesUnique
건물명 has unique valuesUnique
면적 및 세대 has unique valuesUnique

Reproduction

Analysis started2024-01-09 20:11:01.472458
Analysis finished2024-01-09 20:11:02.313958
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17
Minimum1
Maximum33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-01-10T05:11:02.386632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.6
Q19
median17
Q325
95-th percentile31.4
Maximum33
Range32
Interquartile range (IQR)16

Descriptive statistics

Standard deviation9.6695398
Coefficient of variation (CV)0.56879646
Kurtosis-1.2
Mean17
Median Absolute Deviation (MAD)8
Skewness0
Sum561
Variance93.5
MonotonicityStrictly increasing
2024-01-10T05:11:02.537029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1 1
 
3.0%
26 1
 
3.0%
20 1
 
3.0%
21 1
 
3.0%
22 1
 
3.0%
23 1
 
3.0%
24 1
 
3.0%
25 1
 
3.0%
27 1
 
3.0%
2 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
1 1
3.0%
2 1
3.0%
3 1
3.0%
4 1
3.0%
5 1
3.0%
6 1
3.0%
7 1
3.0%
8 1
3.0%
9 1
3.0%
10 1
3.0%
ValueCountFrequency (%)
33 1
3.0%
32 1
3.0%
31 1
3.0%
30 1
3.0%
29 1
3.0%
28 1
3.0%
27 1
3.0%
26 1
3.0%
25 1
3.0%
24 1
3.0%

건물명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-01-10T05:11:02.817158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length8.1212121
Min length3

Characters and Unicode

Total characters268
Distinct characters112
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

Unique33 ?
Unique (%)100.0%

Sample

1st row(주)덕산GS
2nd row레그랜드 펀비치 호텔
3rd row호텔 쏠레르(구 머드린)
4th row대천학생교육원
5th row보령종합병원
ValueCountFrequency (%)
호텔 2
 
4.1%
주)덕산gs 1
 
2.0%
보령명천주공5차 1
 
2.0%
아파트 1
 
2.0%
명천 1
 
2.0%
코아루 1
 
2.0%
보령 1
 
2.0%
명천시티프라디움 1
 
2.0%
보령죽정주공아파트 1
 
2.0%
보령주공2차 1
 
2.0%
Other values (38) 38
77.6%
2024-01-10T05:11:03.270363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17
 
6.3%
천 13
 
4.9%
학 12
 
4.5%
대 11
 
4.1%
령 10
 
3.7%
보 10
 
3.7%
교 9
 
3.4%
등 7
 
2.6%
주 7
 
2.6%
트 7
 
2.6%
Other values (102) 165
61.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 240
89.6%
Space Separator 17
 
6.3%
Decimal Number 5
 
1.9%
Open Punctuation 2
 
0.7%
Close Punctuation 2
 
0.7%
Uppercase Letter 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 13
 
5.4%
학 12
 
5.0%
대 11
 
4.6%
령 10
 
4.2%
보 10
 
4.2%
교 9
 
3.8%
등 7
 
2.9%
주 7
 
2.9%
트 7
 
2.9%
명 6
 
2.5%
Other values (93) 148
61.7%
Decimal Number
ValueCountFrequency (%)
4 2
40.0%
5 1
20.0%
3 1
20.0%
2 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
G 1
50.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 240
89.6%
Common 26
 
9.7%
Latin 2
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 13
 
5.4%
학 12
 
5.0%
대 11
 
4.6%
령 10
 
4.2%
보 10
 
4.2%
교 9
 
3.8%
등 7
 
2.9%
주 7
 
2.9%
트 7
 
2.9%
명 6
 
2.5%
Other values (93) 148
61.7%
Common
ValueCountFrequency (%)
17
65.4%
4 2
 
7.7%
( 2
 
7.7%
) 2
 
7.7%
5 1
 
3.8%
3 1
 
3.8%
2 1
 
3.8%
Latin
ValueCountFrequency (%)
S 1
50.0%
G 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 240
89.6%
ASCII 28
 
10.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17
60.7%
4 2
 
7.1%
( 2
 
7.1%
) 2
 
7.1%
5 1
 
3.6%
3 1
 
3.6%
2 1
 
3.6%
S 1
 
3.6%
G 1
 
3.6%
Hangul
ValueCountFrequency (%)
천 13
 
5.4%
학 12
 
5.0%
대 11
 
4.6%
령 10
 
4.2%
보 10
 
4.2%
교 9
 
3.8%
등 7
 
2.9%
주 7
 
2.9%
트 7
 
2.9%
명 6
 
2.5%
Other values (93) 148
61.7%

면적 및 세대
Real number (ℝ)

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11957.333
Minimum490
Maximum42436.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-01-10T05:11:03.439645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum490
5-th percentile566.2
Q1742
median11538.21
Q314581.12
95-th percentile33476.111
Maximum42436.7
Range41946.7
Interquartile range (IQR)13839.12

Descriptive statistics

Standard deviation11102.817
Coefficient of variation (CV)0.92853621
Kurtosis1.3427101
Mean11957.333
Median Absolute Deviation (MAD)8803
Skewness1.1291797
Sum394592
Variance1.2327254 × 108
MonotonicityNot monotonic
2024-01-10T05:11:03.581933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
11105.81 1
 
3.0%
18016.33 1
 
3.0%
599.0 1
 
3.0%
662.0 1
 
3.0%
893.0 1
 
3.0%
687.0 1
 
3.0%
490.0 1
 
3.0%
742.0 1
 
3.0%
18621.387 1
 
3.0%
11538.21 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
490.0 1
3.0%
517.0 1
3.0%
599.0 1
3.0%
623.0 1
3.0%
662.0 1
3.0%
677.0 1
3.0%
687.0 1
3.0%
711.0 1
3.0%
742.0 1
3.0%
805.0 1
3.0%
ValueCountFrequency (%)
42436.7 1
3.0%
40796.5037 1
3.0%
28595.85 1
3.0%
25153.22 1
3.0%
24415.77 1
3.0%
20341.21 1
3.0%
18621.387 1
3.0%
18016.33 1
3.0%
14581.12 1
3.0%
13822.76 1
3.0%

소재지 주소
Text

Distinct31
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-01-10T05:11:03.860798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length23
Mean length17.757576
Min length15

Characters and Unicode

Total characters586
Distinct characters70
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

Unique30 ?
Unique (%)90.9%

Sample

1st row충청남도 보령시 주산면 충서로 531-12
2nd row충청남도 보령시 대해로 876
3rd row충청남도 보령시 해수욕장8길 28
4th row충청남도 보령시 해수욕장3길 2
5th row충청남도 보령시 죽성로 136
ValueCountFrequency (%)
보령시 33
23.6%
충청남도 30
21.4%
주공로 6
 
4.3%
한내로터리길 4
 
2.9%
65 3
 
2.1%
충남 3
 
2.1%
106 2
 
1.4%
명천로 2
 
1.4%
해수욕장3길 2
 
1.4%
보령북로 2
 
1.4%
Other values (51) 53
37.9%
2024-01-10T05:11:04.312328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
109
18.6%
보 38
 
6.5%
령 38
 
6.5%
남 35
 
6.0%
충 34
 
5.8%
시 33
 
5.6%
도 30
 
5.1%
청 30
 
5.1%
로 25
 
4.3%
1 20
 
3.4%
Other values (60) 194
33.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 385
65.7%
Space Separator 109
 
18.6%
Decimal Number 89
 
15.2%
Dash Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 38
 
9.9%
령 38
 
9.9%
남 35
 
9.1%
충 34
 
8.8%
시 33
 
8.6%
도 30
 
7.8%
청 30
 
7.8%
로 25
 
6.5%
길 13
 
3.4%
주 9
 
2.3%
Other values (48) 100
26.0%
Decimal Number
ValueCountFrequency (%)
1 20
22.5%
6 10
11.2%
2 10
11.2%
5 9
10.1%
0 8
 
9.0%
3 8
 
9.0%
9 8
 
9.0%
7 6
 
6.7%
8 6
 
6.7%
4 4
 
4.5%
Space Separator
ValueCountFrequency (%)
109
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 385
65.7%
Common 201
34.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 38
 
9.9%
령 38
 
9.9%
남 35
 
9.1%
충 34
 
8.8%
시 33
 
8.6%
도 30
 
7.8%
청 30
 
7.8%
로 25
 
6.5%
길 13
 
3.4%
주 9
 
2.3%
Other values (48) 100
26.0%
Common
ValueCountFrequency (%)
109
54.2%
1 20
 
10.0%
6 10
 
5.0%
2 10
 
5.0%
5 9
 
4.5%
0 8
 
4.0%
3 8
 
4.0%
9 8
 
4.0%
7 6
 
3.0%
8 6
 
3.0%
Other values (2) 7
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 385
65.7%
ASCII 201
34.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
109
54.2%
1 20
 
10.0%
6 10
 
5.0%
2 10
 
5.0%
5 9
 
4.5%
0 8
 
4.0%
3 8
 
4.0%
9 8
 
4.0%
7 6
 
3.0%
8 6
 
3.0%
Other values (2) 7
 
3.5%
Hangul
ValueCountFrequency (%)
보 38
 
9.9%
령 38
 
9.9%
남 35
 
9.1%
충 34
 
8.8%
시 33
 
8.6%
도 30
 
7.8%
청 30
 
7.8%
로 25
 
6.5%
길 13
 
3.4%
주 9
 
2.3%
Other values (48) 100
26.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2023-07-28 00:00:00
Maximum2023-07-28 00:00:00
2024-01-10T05:11:04.446127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:11:04.559655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-10T05:11:01.930189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:11:01.711457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:11:02.043240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:11:01.823743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:11:04.647892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호건물명면적 및 세대소재지 주소
일련번호1.0001.0000.7170.931
건물명1.0001.0001.0001.000
면적 및 세대0.7171.0001.0001.000
소재지 주소0.9311.0001.0001.000
2024-01-10T05:11:04.759053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호면적 및 세대
일련번호1.0000.256
면적 및 세대0.2561.000

Missing values

2024-01-10T05:11:02.162401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:11:02.268242image/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

일련번호건물명면적 및 세대소재지 주소데이터기준일자
01(주)덕산GS11105.81충청남도 보령시 주산면 충서로 531-122023-07-28
12레그랜드 펀비치 호텔11538.21충청남도 보령시 대해로 8762023-07-28
23호텔 쏠레르(구 머드린)13010.13충청남도 보령시 해수욕장8길 282023-07-28
34대천학생교육원13822.76충청남도 보령시 해수욕장3길 22023-07-28
45보령종합병원14581.12충청남도 보령시 죽성로 1362023-07-28
56한내초등학교10180.81충청남도 보령시 보령남로 392023-07-28
67대천중학교10286.84충청남도 보령시 보령남로 232023-07-28
78보령학사충남정심원10827.03충청남도 보령시 주교면 보령북로 4042023-07-28
89대천초등학교11153.985충청남도 보령시 대천로 592023-07-28
910대천여자고등학교11696.04충청남도 보령시 중앙로 2642023-07-28
일련번호건물명면적 및 세대소재지 주소데이터기준일자
2324보령명천주공4차490.0충청남도 보령시 주공로 652023-07-28
2425보령명천주공5차742.0충청남도 보령시 주공로 652023-07-28
2526대천고등학교18016.33충청남도 보령시 대고로 582023-07-28
2627대천리조트18621.387충청남도 보령시 옥마벚길 102023-07-28
2728이마트20341.21충남 보령시 해안로 25 이마트보령점2023-07-28
2829한국중부발전 본사24415.77충청남도 보령시 보령북로 1602023-07-28
2930홈플러스25153.22충청남도 보령시 명암1길 172023-07-28
3031아주자동차대학28595.85충청남도 보령시 주포면 대학길 1062023-07-28
3132무창포 비체팰리스 콘도40796.5037충남 보령시 웅천읍 열린바다1길 782023-07-28
3233대천한화콘도미디엄42436.7충남 보령시 해수욕장3길 11-10 한화리조트 대천파로스2023-07-28