Overview

Dataset statistics

Number of variables6
Number of observations522
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.1 KiB
Average record size in memory49.2 B

Variable types

Numeric1
Categorical3
Text2

Dataset

Description인천광역시 군구별 지진옥외대피소 사물주소현황에 관한 데이터로 군구, 사물명, 고유번호, 사물주소, 확정일을 제공하겠음.
Author인천광역시
URLhttps://www.data.go.kr/data/15048908/fileData.do

Alerts

진행상태 has constant value ""Constant
순번 is highly overall correlated with 시군구 and 1 other fieldsHigh correlation
시군구 is highly overall correlated with 순번 and 1 other fieldsHigh correlation
확정일자 is highly overall correlated with 순번 and 1 other fieldsHigh correlation
순번 has unique valuesUnique
사물주소 has unique valuesUnique

Reproduction

Analysis started2024-03-14 20:50:48.743792
Analysis finished2024-03-14 20:50:50.143059
Duration1.4 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct522
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean261.5
Minimum1
Maximum522
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-03-15T05:50:50.364134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile27.05
Q1131.25
median261.5
Q3391.75
95-th percentile495.95
Maximum522
Range521
Interquartile range (IQR)260.5

Descriptive statistics

Standard deviation150.83269
Coefficient of variation (CV)0.57679804
Kurtosis-1.2
Mean261.5
Median Absolute Deviation (MAD)130.5
Skewness0
Sum136503
Variance22750.5
MonotonicityStrictly increasing
2024-03-15T05:50:50.732251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
360 1
 
0.2%
358 1
 
0.2%
357 1
 
0.2%
356 1
 
0.2%
355 1
 
0.2%
354 1
 
0.2%
353 1
 
0.2%
352 1
 
0.2%
351 1
 
0.2%
Other values (512) 512
98.1%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
522 1
0.2%
521 1
0.2%
520 1
0.2%
519 1
0.2%
518 1
0.2%
517 1
0.2%
516 1
0.2%
515 1
0.2%
514 1
0.2%
513 1
0.2%

시군구
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
부평구
97 
서구
91 
계양구
89 
남동구
51 
미추홀구
51 
Other values (5)
143 

Length

Max length4
Median length3
Mean length2.8180077
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부평구 97
18.6%
서구 91
17.4%
계양구 89
17.0%
남동구 51
9.8%
미추홀구 51
9.8%
강화군 44
8.4%
중구 43
8.2%
옹진군 29
 
5.6%
연수구 15
 
2.9%
동구 12
 
2.3%

Length

2024-03-15T05:50:51.047308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:50:51.436682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부평구 97
18.6%
서구 91
17.4%
계양구 89
17.0%
남동구 51
9.8%
미추홀구 51
9.8%
강화군 44
8.4%
중구 43
8.2%
옹진군 29
 
5.6%
연수구 15
 
2.9%
동구 12
 
2.3%

사물명
Text

Distinct518
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2024-03-15T05:50:52.376749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length9.01341
Min length2

Characters and Unicode

Total characters4705
Distinct characters266
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

Unique515 ?
Unique (%)98.7%

Sample

1st row인천광역시 학생종합 수련원 운동장
2nd row인천광역시 학생종합수련원 공터
3rd row심도중학교운동장
4th row서도초중고등학교 운동장
5th row해명초등학교 운동장
ValueCountFrequency (%)
운동장 272
31.8%
인천국제공항 11
 
1.3%
공터 7
 
0.8%
마을회관 5
 
0.6%
화물터미널 5
 
0.6%
공원 4
 
0.5%
물량장 3
 
0.4%
제2여객터미널 3
 
0.4%
수련원 3
 
0.4%
인천광역시 3
 
0.4%
Other values (526) 539
63.0%
2024-03-15T05:50:53.771434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 359
 
7.6%
장 358
 
7.6%
333
 
7.1%
운 331
 
7.0%
학 326
 
6.9%
교 324
 
6.9%
등 229
 
4.9%
공 211
 
4.5%
원 200
 
4.3%
초 191
 
4.1%
Other values (256) 1843
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4250
90.3%
Space Separator 333
 
7.1%
Decimal Number 65
 
1.4%
Close Punctuation 25
 
0.5%
Open Punctuation 25
 
0.5%
Dash Punctuation 6
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 359
 
8.4%
장 358
 
8.4%
운 331
 
7.8%
학 326
 
7.7%
교 324
 
7.6%
등 229
 
5.4%
공 211
 
5.0%
원 200
 
4.7%
초 191
 
4.5%
중 89
 
2.1%
Other values (242) 1632
38.4%
Decimal Number
ValueCountFrequency (%)
2 20
30.8%
1 19
29.2%
4 7
 
10.8%
8 5
 
7.7%
5 4
 
6.2%
3 4
 
6.2%
7 3
 
4.6%
6 2
 
3.1%
9 1
 
1.5%
Space Separator
ValueCountFrequency (%)
333
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4250
90.3%
Common 455
 
9.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 359
 
8.4%
장 358
 
8.4%
운 331
 
7.8%
학 326
 
7.7%
교 324
 
7.6%
등 229
 
5.4%
공 211
 
5.0%
원 200
 
4.7%
초 191
 
4.5%
중 89
 
2.1%
Other values (242) 1632
38.4%
Common
ValueCountFrequency (%)
333
73.2%
) 25
 
5.5%
( 25
 
5.5%
2 20
 
4.4%
1 19
 
4.2%
4 7
 
1.5%
- 6
 
1.3%
8 5
 
1.1%
5 4
 
0.9%
3 4
 
0.9%
Other values (4) 7
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4250
90.3%
ASCII 455
 
9.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 359
 
8.4%
장 358
 
8.4%
운 331
 
7.8%
학 326
 
7.7%
교 324
 
7.6%
등 229
 
5.4%
공 211
 
5.0%
원 200
 
4.7%
초 191
 
4.5%
중 89
 
2.1%
Other values (242) 1632
38.4%
ASCII
ValueCountFrequency (%)
333
73.2%
) 25
 
5.5%
( 25
 
5.5%
2 20
 
4.4%
1 19
 
4.2%
4 7
 
1.5%
- 6
 
1.3%
8 5
 
1.1%
5 4
 
0.9%
3 4
 
0.9%
Other values (4) 7
 
1.5%

사물주소
Text

UNIQUE 

Distinct522
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2024-03-15T05:50:54.920002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length35
Mean length28.415709
Min length24

Characters and Unicode

Total characters14833
Distinct characters235
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

Unique522 ?
Unique (%)100.0%

Sample

1st row인천광역시 강화군 화도면 해안남로 2463 지진옥외대피장소
2nd row인천광역시 강화군 화도면 해안남로 2463-12 지진옥외대피장소
3rd row인천광역시 강화군 화도면 마니산로 703-20 지진옥외대피장소
4th row인천광역시 강화군 서도면 주문도길 173 지진옥외대피장소
5th row인천광역시 강화군 삼산면 삼산남로 345 지진옥외대피장소
ValueCountFrequency (%)
인천광역시 522
19.5%
지진옥외대피장소 522
19.5%
부평구 97
 
3.6%
서구 91
 
3.4%
계양구 89
 
3.3%
미추홀구 51
 
1.9%
남동구 51
 
1.9%
강화군 44
 
1.6%
중구 43
 
1.6%
옹진군 29
 
1.1%
Other values (685) 1144
42.6%
2024-03-15T05:50:57.292509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2161
 
14.6%
대 581
 
3.9%
장 553
 
3.7%
진 552
 
3.7%
인 546
 
3.7%
지 537
 
3.6%
소 533
 
3.6%
시 529
 
3.6%
천 529
 
3.6%
외 525
 
3.5%
Other values (225) 7787
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10784
72.7%
Space Separator 2161
 
14.6%
Decimal Number 1837
 
12.4%
Dash Punctuation 51
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 581
 
5.4%
장 553
 
5.1%
진 552
 
5.1%
인 546
 
5.1%
지 537
 
5.0%
소 533
 
4.9%
시 529
 
4.9%
천 529
 
4.9%
외 525
 
4.9%
역 525
 
4.9%
Other values (213) 5374
49.8%
Decimal Number
ValueCountFrequency (%)
1 350
19.1%
2 237
12.9%
3 218
11.9%
4 214
11.6%
5 178
9.7%
6 146
7.9%
7 140
 
7.6%
0 134
 
7.3%
9 116
 
6.3%
8 104
 
5.7%
Space Separator
ValueCountFrequency (%)
2161
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10784
72.7%
Common 4049
 
27.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 581
 
5.4%
장 553
 
5.1%
진 552
 
5.1%
인 546
 
5.1%
지 537
 
5.0%
소 533
 
4.9%
시 529
 
4.9%
천 529
 
4.9%
외 525
 
4.9%
역 525
 
4.9%
Other values (213) 5374
49.8%
Common
ValueCountFrequency (%)
2161
53.4%
1 350
 
8.6%
2 237
 
5.9%
3 218
 
5.4%
4 214
 
5.3%
5 178
 
4.4%
6 146
 
3.6%
7 140
 
3.5%
0 134
 
3.3%
9 116
 
2.9%
Other values (2) 155
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10784
72.7%
ASCII 4049
 
27.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2161
53.4%
1 350
 
8.6%
2 237
 
5.9%
3 218
 
5.4%
4 214
 
5.3%
5 178
 
4.4%
6 146
 
3.6%
7 140
 
3.5%
0 134
 
3.3%
9 116
 
2.9%
Other values (2) 155
 
3.8%
Hangul
ValueCountFrequency (%)
대 581
 
5.4%
장 553
 
5.1%
진 552
 
5.1%
인 546
 
5.1%
지 537
 
5.0%
소 533
 
4.9%
시 529
 
4.9%
천 529
 
4.9%
외 525
 
4.9%
역 525
 
4.9%
Other values (213) 5374
49.8%

진행상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
사물주소 확정
522 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사물주소 확정
2nd row사물주소 확정
3rd row사물주소 확정
4th row사물주소 확정
5th row사물주소 확정

Common Values

ValueCountFrequency (%)
사물주소 확정 522
100.0%

Length

2024-03-15T05:50:57.915043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:50:58.178280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사물주소 522
50.0%
확정 522
50.0%

확정일자
Categorical

HIGH CORRELATION 

Distinct30
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2019-11-21
116 
2019-11-15
102 
2019-11-25
69 
2019-11-14
45 
2019-11-12
24 
Other values (25)
166 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique9 ?
Unique (%)1.7%

Sample

1st row2019-11-19
2nd row2019-11-19
3rd row2019-11-13
4th row2019-11-14
5th row2019-11-14

Common Values

ValueCountFrequency (%)
2019-11-21 116
22.2%
2019-11-15 102
19.5%
2019-11-25 69
13.2%
2019-11-14 45
 
8.6%
2019-11-12 24
 
4.6%
2019-11-06 23
 
4.4%
2019-11-08 18
 
3.4%
2019-11-07 18
 
3.4%
2019-11-27 17
 
3.3%
2019-12-02 13
 
2.5%
Other values (20) 77
14.8%

Length

2024-03-15T05:50:58.363398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2019-11-21 116
22.2%
2019-11-15 102
19.5%
2019-11-25 69
13.2%
2019-11-14 45
 
8.6%
2019-11-12 24
 
4.6%
2019-11-06 23
 
4.4%
2019-11-08 18
 
3.4%
2019-11-07 18
 
3.4%
2019-11-27 17
 
3.3%
2019-12-02 13
 
2.5%
Other values (20) 77
14.8%

Interactions

2024-03-15T05:50:49.300221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T05:50:58.497066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군구확정일자
순번1.0000.9760.933
시군구0.9761.0000.975
확정일자0.9330.9751.000
2024-03-15T05:50:58.726458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
확정일자시군구
확정일자1.0000.742
시군구0.7421.000
2024-03-15T05:50:58.957844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군구확정일자
순번1.0000.7270.606
시군구0.7271.0000.742
확정일자0.6060.7421.000

Missing values

2024-03-15T05:50:49.657728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T05:50:50.008207image/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

순번시군구사물명사물주소진행상태확정일자
01강화군인천광역시 학생종합 수련원 운동장인천광역시 강화군 화도면 해안남로 2463 지진옥외대피장소사물주소 확정2019-11-19
12강화군인천광역시 학생종합수련원 공터인천광역시 강화군 화도면 해안남로 2463-12 지진옥외대피장소사물주소 확정2019-11-19
23강화군심도중학교운동장인천광역시 강화군 화도면 마니산로 703-20 지진옥외대피장소사물주소 확정2019-11-13
34강화군서도초중고등학교 운동장인천광역시 강화군 서도면 주문도길 173 지진옥외대피장소사물주소 확정2019-11-14
45강화군해명초등학교 운동장인천광역시 강화군 삼산면 삼산남로 345 지진옥외대피장소사물주소 확정2019-11-14
56강화군승영중학교 운동장인천광역시 강화군 삼산면 삼산북로473번길 47 지진옥외대피장소사물주소 확정2019-11-14
67강화군삼산초등학교 운동장인천광역시 강화군 삼산면 삼산북로 451 지진옥외대피장소사물주소 확정2019-11-14
78강화군난정초등학교 운동장인천광역시 강화군 교동면 교동서로378번길 28 지진옥외대피장소사물주소 확정2019-11-14
89강화군지석초등학교 운동장인천광역시 강화군 교동면 교동북로 275-1 지진옥외대피장소사물주소 확정2019-11-14
910강화군교동중고등학교 운동장인천광역시 강화군 교동면 교동남로 77 지진옥외대피장소사물주소 확정2019-11-14
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513514중구인천신흥초등학교 운동장인천광역시 중구 제물량로 134 지진옥외대피장소사물주소 확정2019-11-07
514515중구신흥중학교 운동장인천광역시 중구 인항로24번길 38 지진옥외대피장소사물주소 확정2019-11-07
515516중구신흥여자중학교 운동장인천광역시 중구 인항로24번길 37 지진옥외대피장소사물주소 확정2019-11-07
516517중구인천신광초등학교 운동장인천광역시 중구 인중로 63 지진옥외대피장소사물주소 확정2019-11-07
517518중구인천신선초등학교 운동장인천광역시 중구 축항대로291번길 33 지진옥외대피장소사물주소 확정2019-11-07
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519520중구인성초등학교 운동장인천광역시 중구 신포로39번길 42 지진옥외대피장소사물주소 확정2019-11-07
520521중구인성여자중학교 운동장인천광역시 중구 홍예문로 39 지진옥외대피장소사물주소 확정2019-11-07
521522중구송도중학교 운동장인천광역시 중구 제물량로 123 지진옥외대피장소사물주소 확정2019-11-07