Overview

Dataset statistics

Number of variables5
Number of observations124
Missing cells248
Missing cells (%)40.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.3 KiB
Average record size in memory44.1 B

Variable types

Text2
Numeric1
Unsupported2

Dataset

Description인천광역시 강화군 공공건축물 현황(일부)입니다. 강화군 내 공공건축물의 상호, 주소, 면적 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15113017/fileData.do

Alerts

Unnamed: 3 has 124 (100.0%) missing valuesMissing
Unnamed: 4 has 124 (100.0%) missing valuesMissing
상호 has unique valuesUnique
면적 has unique valuesUnique
Unnamed: 3 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 4 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 00:33:57.576028
Analysis finished2023-12-12 00:33:57.977198
Duration0.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호
Text

UNIQUE 

Distinct124
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T09:33:58.139056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length9.233871
Min length4

Characters and Unicode

Total characters1145
Distinct characters163
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

Unique124 ?
Unique (%)100.0%

Sample

1st row강화고인돌체육관
2nd row강화교육지원청 미래교육지원센터
3rd row강화교육청
4th row강화군 노인복지관
5th row강화군 농업기술센터
ValueCountFrequency (%)
인천강화경찰서 13
 
7.5%
인천강화소방서 7
 
4.0%
강화군 5
 
2.9%
학생종합수련원 5
 
2.9%
인천광역시 3
 
1.7%
본관동 3
 
1.7%
서사체험학습장 2
 
1.1%
해양환경탐구수련원 2
 
1.1%
강화교육지원청 2
 
1.1%
서도면 2
 
1.1%
Other values (130) 130
74.7%
2023-12-12T09:33:58.521792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
화 66
 
5.8%
강 63
 
5.5%
소 61
 
5.3%
50
 
4.4%
사 31
 
2.7%
서 30
 
2.6%
인 29
 
2.5%
천 27
 
2.4%
관 24
 
2.1%
지 24
 
2.1%
Other values (153) 740
64.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1061
92.7%
Space Separator 50
 
4.4%
Decimal Number 19
 
1.7%
Close Punctuation 5
 
0.4%
Open Punctuation 5
 
0.4%
Lowercase Letter 3
 
0.3%
Connector Punctuation 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
화 66
 
6.2%
강 63
 
5.9%
소 61
 
5.7%
사 31
 
2.9%
서 30
 
2.8%
인 29
 
2.7%
천 27
 
2.5%
관 24
 
2.3%
지 24
 
2.3%
원 20
 
1.9%
Other values (143) 686
64.7%
Lowercase Letter
ValueCountFrequency (%)
m 1
33.3%
b 1
33.3%
x 1
33.3%
Decimal Number
ValueCountFrequency (%)
1 13
68.4%
9 6
31.6%
Space Separator
ValueCountFrequency (%)
50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1061
92.7%
Common 80
 
7.0%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
화 66
 
6.2%
강 63
 
5.9%
소 61
 
5.7%
사 31
 
2.9%
서 30
 
2.8%
인 29
 
2.7%
천 27
 
2.5%
관 24
 
2.3%
지 24
 
2.3%
원 20
 
1.9%
Other values (143) 686
64.7%
Common
ValueCountFrequency (%)
50
62.5%
1 13
 
16.2%
9 6
 
7.5%
) 5
 
6.2%
( 5
 
6.2%
_ 1
 
1.2%
Latin
ValueCountFrequency (%)
B 1
25.0%
m 1
25.0%
b 1
25.0%
x 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1061
92.7%
ASCII 84
 
7.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
화 66
 
6.2%
강 63
 
5.9%
소 61
 
5.7%
사 31
 
2.9%
서 30
 
2.8%
인 29
 
2.7%
천 27
 
2.5%
관 24
 
2.3%
지 24
 
2.3%
원 20
 
1.9%
Other values (143) 686
64.7%
ASCII
ValueCountFrequency (%)
50
59.5%
1 13
 
15.5%
9 6
 
7.1%
) 5
 
6.0%
( 5
 
6.0%
_ 1
 
1.2%
B 1
 
1.2%
m 1
 
1.2%
b 1
 
1.2%
x 1
 
1.2%

도로명주소
Text

Distinct103
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T09:33:58.776850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length27
Mean length23.104839
Min length19

Characters and Unicode

Total characters2865
Distinct characters92
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)71.8%

Sample

1st row인천광역시 강화군 강화읍 강화대로 603
2nd row인천광역시 강화군 강화읍 동문안길20번길 16
3rd row인천광역시 강화군 중앙로 607(불은면 삼성리 809-151번지, 강화교육청 )
4th row인천광역시 강화군 강화읍 중앙로 17-16
5th row인천광역시 강화군 불은면 불은북로 53
ValueCountFrequency (%)
강화군 124
19.9%
인천광역시 123
19.8%
강화읍 31
 
5.0%
강화대로 21
 
3.4%
불은면 12
 
1.9%
선원면 9
 
1.4%
송해면 9
 
1.4%
화도면 9
 
1.4%
강화서로 8
 
1.3%
마니산로 8
 
1.3%
Other values (155) 268
43.1%
2023-12-12T09:33:59.172124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
507
17.7%
화 213
 
7.4%
강 204
 
7.1%
인 124
 
4.3%
시 124
 
4.3%
군 124
 
4.3%
천 124
 
4.3%
광 123
 
4.3%
역 123
 
4.3%
로 104
 
3.6%
Other values (82) 1095
38.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1888
65.9%
Space Separator 507
 
17.7%
Decimal Number 432
 
15.1%
Dash Punctuation 35
 
1.2%
Other Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
화 213
 
11.3%
강 204
 
10.8%
인 124
 
6.6%
시 124
 
6.6%
군 124
 
6.6%
천 124
 
6.6%
광 123
 
6.5%
역 123
 
6.5%
로 104
 
5.5%
면 92
 
4.9%
Other values (67) 533
28.2%
Decimal Number
ValueCountFrequency (%)
1 78
18.1%
2 56
13.0%
4 47
10.9%
3 44
10.2%
7 41
9.5%
9 37
8.6%
6 36
8.3%
5 36
8.3%
0 32
7.4%
8 25
 
5.8%
Space Separator
ValueCountFrequency (%)
507
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1888
65.9%
Common 977
34.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
화 213
 
11.3%
강 204
 
10.8%
인 124
 
6.6%
시 124
 
6.6%
군 124
 
6.6%
천 124
 
6.6%
광 123
 
6.5%
역 123
 
6.5%
로 104
 
5.5%
면 92
 
4.9%
Other values (67) 533
28.2%
Common
ValueCountFrequency (%)
507
51.9%
1 78
 
8.0%
2 56
 
5.7%
4 47
 
4.8%
3 44
 
4.5%
7 41
 
4.2%
9 37
 
3.8%
6 36
 
3.7%
5 36
 
3.7%
- 35
 
3.6%
Other values (5) 60
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1888
65.9%
ASCII 977
34.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
507
51.9%
1 78
 
8.0%
2 56
 
5.7%
4 47
 
4.8%
3 44
 
4.5%
7 41
 
4.2%
9 37
 
3.8%
6 36
 
3.7%
5 36
 
3.7%
- 35
 
3.6%
Other values (5) 60
 
6.1%
Hangul
ValueCountFrequency (%)
화 213
 
11.3%
강 204
 
10.8%
인 124
 
6.6%
시 124
 
6.6%
군 124
 
6.6%
천 124
 
6.6%
광 123
 
6.5%
역 123
 
6.5%
로 104
 
5.5%
면 92
 
4.9%
Other values (67) 533
28.2%

면적
Real number (ℝ)

UNIQUE 

Distinct124
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1427.7806
Minimum52.25
Maximum16200.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T09:33:59.327159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52.25
5-th percentile141.02
Q1346.035
median669.48
Q31552.75
95-th percentile4357.2225
Maximum16200.25
Range16148
Interquartile range (IQR)1206.715

Descriptive statistics

Standard deviation2189.1649
Coefficient of variation (CV)1.5332641
Kurtosis19.536591
Mean1427.7806
Median Absolute Deviation (MAD)402.14
Skewness3.9073654
Sum177044.8
Variance4792442.9
MonotonicityNot monotonic
2023-12-12T09:33:59.496375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16200.25 1
 
0.8%
187.74 1
 
0.8%
1479.74 1
 
0.8%
666.2 1
 
0.8%
4489.07 1
 
0.8%
266.62 1
 
0.8%
212.34 1
 
0.8%
204.66 1
 
0.8%
196.695 1
 
0.8%
143.06 1
 
0.8%
Other values (114) 114
91.9%
ValueCountFrequency (%)
52.25 1
0.8%
56.53 1
0.8%
102.6 1
0.8%
105.4 1
0.8%
137.27 1
0.8%
138.33 1
0.8%
140.66 1
0.8%
143.06 1
0.8%
144.0 1
0.8%
168.51 1
0.8%
ValueCountFrequency (%)
16200.25 1
0.8%
9900.51 1
0.8%
8968.38 1
0.8%
8842.28 1
0.8%
7425.0 1
0.8%
4489.07 1
0.8%
4378.98 1
0.8%
4233.93 1
0.8%
3956.0 1
0.8%
3748.04 1
0.8%

Unnamed: 3
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing124
Missing (%)100.0%
Memory size1.2 KiB

Unnamed: 4
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing124
Missing (%)100.0%
Memory size1.2 KiB

Interactions

2023-12-12T09:33:57.742949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T09:33:57.853595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:33:57.943634image/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

상호도로명주소면적Unnamed: 3Unnamed: 4
0강화고인돌체육관인천광역시 강화군 강화읍 강화대로 60316200.25<NA><NA>
1강화교육지원청 미래교육지원센터인천광역시 강화군 강화읍 동문안길20번길 162438.34<NA><NA>
2강화교육청인천광역시 강화군 중앙로 607(불은면 삼성리 809-151번지, 강화교육청 )3956.0<NA><NA>
3강화군 노인복지관인천광역시 강화군 강화읍 중앙로 17-161073.0<NA><NA>
4강화군 농업기술센터인천광역시 강화군 불은면 불은북로 533744.76<NA><NA>
5강화군 시설관리공단인천광역시 강화군 강화읍 강화대로 1543698.0<NA><NA>
6강화군 장애인복지관인천광역시 강화군 강화읍 충렬사로 631588.0<NA><NA>
7강화군 행복센터인천광역시 강화군 강화읍 남문로 198968.38<NA><NA>
8강화군가축분뇨처리장(본관)인천광역시 강화군 선원면 강화동로 7393001.0<NA><NA>
9강화군립어린이집인천광역시 강화군 선원면 시리미로 193821.0<NA><NA>
상호도로명주소면적Unnamed: 3Unnamed: 4
114학생종합수련원 해양환경탐구수련원 본관동인천광역시 강화군 화도면 해안남로 24631668.42<NA><NA>
115학생종합수련원 흥왕체험학습장 본관동인천광역시 강화군 화도면 해안남로 1854861.5<NA><NA>
116한강홍수통제소 임진강강우레이더관측소인천광역시 강화군 송해면 상도숭뢰길 225-1710.0<NA><NA>
117한국농어촌공사인천광역시 강화군 강화읍 강화대로215번길 201541.0<NA><NA>
118한국전력 인천지역본부 강화변전소인천광역시 강화군 고려왕릉로 467-02672.9<NA><NA>
119한국전력공사 강화지사인천광역시 강화군 강화읍 강화대로 2782075.0<NA><NA>
120화도면사무소인천광역시 강화군 화도면 마니산로 703-141505.17<NA><NA>
121화도보건지소인천광역시 강화군 화도면 마니산로 703-14370.55<NA><NA>
122화도우체국인천광역시 강화군 화도면 마니산로 703-12276.56<NA><NA>
123화문석문화관인천광역시 강화군 송해면 장정양오길 4131047.0<NA><NA>