Overview

Dataset statistics

Number of variables5
Number of observations50
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory45.6 B

Variable types

Numeric3
Text2

Dataset

Description인천광역시 미추홀구 지진옥외대피소 목록에 대한 데이터로 이름, 도로명주소, 전화번호, 좌표값 등을 제공합니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15088503&srcSe=7661IVAWM27C61E190

Alerts

연번 has unique valuesUnique
이름 has unique valuesUnique

Reproduction

Analysis started2024-01-28 11:29:56.288801
Analysis finished2024-01-28 11:29:57.417237
Duration1.13 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.5
Minimum1
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-01-28T20:29:57.475684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.45
Q113.25
median25.5
Q337.75
95-th percentile47.55
Maximum50
Range49
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation14.57738
Coefficient of variation (CV)0.57166195
Kurtosis-1.2
Mean25.5
Median Absolute Deviation (MAD)12.5
Skewness0
Sum1275
Variance212.5
MonotonicityStrictly increasing
2024-01-28T20:29:57.584043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
2.0%
39 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 (40) 40
80.0%
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 (%)
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%
41 1
2.0%

이름
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-01-28T20:29:57.771569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length16.26
Min length14

Characters and Unicode

Total characters813
Distinct characters84
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)100.0%

Sample

1st row지진옥외대피장소 인천기계공업고등학교
2nd row지진옥외대피장소 인화여자고등학교
3rd row지진옥외대피장소 용일초등학교
4th row지진옥외대피장소 수봉근린공원
5th row지진옥외대피장소 관교여자중학교
ValueCountFrequency (%)
지진옥외대피장소 50
50.0%
인천대화초등학교 1
 
1.0%
인하대학교대운동장 1
 
1.0%
인천전자마이스터고등학교 1
 
1.0%
용학초등학교 1
 
1.0%
인천서화초등학교 1
 
1.0%
경원초등학교 1
 
1.0%
인천비즈니스고등학교 1
 
1.0%
인천백학초등학교 1
 
1.0%
인천문학초등학교 1
 
1.0%
Other values (41) 41
41.0%
2024-01-28T20:29:58.080043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 56
 
6.9%
학 53
 
6.5%
장 52
 
6.4%
지 50
 
6.2%
50
 
6.2%
소 50
 
6.2%
진 50
 
6.2%
피 50
 
6.2%
외 50
 
6.2%
옥 50
 
6.2%
Other values (74) 302
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 763
93.8%
Space Separator 50
 
6.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 56
 
7.3%
학 53
 
6.9%
장 52
 
6.8%
지 50
 
6.6%
소 50
 
6.6%
진 50
 
6.6%
피 50
 
6.6%
외 50
 
6.6%
옥 50
 
6.6%
교 46
 
6.0%
Other values (73) 256
33.6%
Space Separator
ValueCountFrequency (%)
50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 763
93.8%
Common 50
 
6.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 56
 
7.3%
학 53
 
6.9%
장 52
 
6.8%
지 50
 
6.6%
소 50
 
6.6%
진 50
 
6.6%
피 50
 
6.6%
외 50
 
6.6%
옥 50
 
6.6%
교 46
 
6.0%
Other values (73) 256
33.6%
Common
ValueCountFrequency (%)
50
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 763
93.8%
ASCII 50
 
6.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 56
 
7.3%
학 53
 
6.9%
장 52
 
6.8%
지 50
 
6.6%
소 50
 
6.6%
진 50
 
6.6%
피 50
 
6.6%
외 50
 
6.6%
옥 50
 
6.6%
교 46
 
6.0%
Other values (73) 256
33.6%
ASCII
ValueCountFrequency (%)
50
100.0%

도로명주소
Text

Distinct44
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-01-28T20:29:58.279615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length19.88
Min length17

Characters and Unicode

Total characters994
Distinct characters57
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

Unique42 ?
Unique (%)84.0%

Sample

1st row인천광역시 미추홀구 한나루로 545
2nd row인천광역시 미추홀구 석정로 165
3rd row인천광역시 미추홀구 인주대로 244
4th row인천광역시 미추홀구 수봉안길 84
5th row인천광역시 미추홀구 경원대로 691
ValueCountFrequency (%)
인천광역시 50
25.0%
미추홀구 50
25.0%
석정로 6
 
3.0%
165 6
 
3.0%
인하로 4
 
2.0%
낙섬동로 3
 
1.5%
도화동 3
 
1.5%
20 3
 
1.5%
16 2
 
1.0%
경인로 2
 
1.0%
Other values (65) 71
35.5%
2024-01-28T20:29:58.559816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
150
 
15.1%
인 60
 
6.0%
홀 54
 
5.4%
구 51
 
5.1%
광 50
 
5.0%
역 50
 
5.0%
시 50
 
5.0%
미 50
 
5.0%
추 50
 
5.0%
천 50
 
5.0%
Other values (47) 379
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 658
66.2%
Decimal Number 181
 
18.2%
Space Separator 150
 
15.1%
Dash Punctuation 5
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 60
 
9.1%
홀 54
 
8.2%
구 51
 
7.8%
광 50
 
7.6%
역 50
 
7.6%
시 50
 
7.6%
미 50
 
7.6%
추 50
 
7.6%
천 50
 
7.6%
로 41
 
6.2%
Other values (35) 152
23.1%
Decimal Number
ValueCountFrequency (%)
1 31
17.1%
2 24
13.3%
6 22
12.2%
3 21
11.6%
5 21
11.6%
4 21
11.6%
0 18
9.9%
9 10
 
5.5%
8 8
 
4.4%
7 5
 
2.8%
Space Separator
ValueCountFrequency (%)
150
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 658
66.2%
Common 336
33.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 60
 
9.1%
홀 54
 
8.2%
구 51
 
7.8%
광 50
 
7.6%
역 50
 
7.6%
시 50
 
7.6%
미 50
 
7.6%
추 50
 
7.6%
천 50
 
7.6%
로 41
 
6.2%
Other values (35) 152
23.1%
Common
ValueCountFrequency (%)
150
44.6%
1 31
 
9.2%
2 24
 
7.1%
6 22
 
6.5%
3 21
 
6.2%
5 21
 
6.2%
4 21
 
6.2%
0 18
 
5.4%
9 10
 
3.0%
8 8
 
2.4%
Other values (2) 10
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 658
66.2%
ASCII 336
33.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
150
44.6%
1 31
 
9.2%
2 24
 
7.1%
6 22
 
6.5%
3 21
 
6.2%
5 21
 
6.2%
4 21
 
6.2%
0 18
 
5.4%
9 10
 
3.0%
8 8
 
2.4%
Other values (2) 10
 
3.0%
Hangul
ValueCountFrequency (%)
인 60
 
9.1%
홀 54
 
8.2%
구 51
 
7.8%
광 50
 
7.6%
역 50
 
7.6%
시 50
 
7.6%
미 50
 
7.6%
추 50
 
7.6%
천 50
 
7.6%
로 41
 
6.2%
Other values (35) 152
23.1%

위도
Real number (ℝ)

Distinct44
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.455
Minimum37.434773
Maximum37.473967
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-01-28T20:29:58.670422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.434773
5-th percentile37.438971
Q137.446038
median37.452704
Q337.463528
95-th percentile37.47396
Maximum37.473967
Range0.0391942
Interquartile range (IQR)0.017489285

Descriptive statistics

Standard deviation0.012000608
Coefficient of variation (CV)0.00032040068
Kurtosis-1.1230192
Mean37.455
Median Absolute Deviation (MAD)0.008900675
Skewness0.25484439
Sum1872.75
Variance0.00014401458
MonotonicityNot monotonic
2024-01-28T20:29:58.777497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
37.47395988 6
 
12.0%
37.45144803 2
 
4.0%
37.44676348 1
 
2.0%
37.4739669 1
 
2.0%
37.46136602 1
 
2.0%
37.4722704 1
 
2.0%
37.43892166 1
 
2.0%
37.4398904 1
 
2.0%
37.46365587 1
 
2.0%
37.44356467 1
 
2.0%
Other values (34) 34
68.0%
ValueCountFrequency (%)
37.4347727 1
2.0%
37.43549148 1
2.0%
37.43892166 1
2.0%
37.43903057 1
2.0%
37.43982892 1
2.0%
37.4398904 1
2.0%
37.44040271 1
2.0%
37.44238998 1
2.0%
37.44356467 1
2.0%
37.44425703 1
2.0%
ValueCountFrequency (%)
37.4739669 1
 
2.0%
37.47395988 6
12.0%
37.4722704 1
 
2.0%
37.4712529 1
 
2.0%
37.46901872 1
 
2.0%
37.46816063 1
 
2.0%
37.46379213 1
 
2.0%
37.46365587 1
 
2.0%
37.46314321 1
 
2.0%
37.46286497 1
 
2.0%

경도
Real number (ℝ)

Distinct44
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.66874
Minimum126.63955
Maximum126.69656
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-01-28T20:29:58.885762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63955
5-th percentile126.64078
Q1126.6525
median126.6681
Q3126.68622
95-th percentile126.69456
Maximum126.69656
Range0.057011
Interquartile range (IQR)0.03372035

Descriptive statistics

Standard deviation0.017257801
Coefficient of variation (CV)0.00013624357
Kurtosis-1.1732822
Mean126.66874
Median Absolute Deviation (MAD)0.0161021
Skewness0.064423916
Sum6333.4368
Variance0.0002978317
MonotonicityNot monotonic
2024-01-28T20:29:58.985183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
126.6519987 6
 
12.0%
126.6515423 2
 
4.0%
126.6434992 1
 
2.0%
126.660798 1
 
2.0%
126.6957692 1
 
2.0%
126.666198 1
 
2.0%
126.671948 1
 
2.0%
126.6828332 1
 
2.0%
126.6560588 1
 
2.0%
126.6719174 1
 
2.0%
Other values (34) 34
68.0%
ValueCountFrequency (%)
126.6395478 1
 
2.0%
126.6406704 1
 
2.0%
126.6407581 1
 
2.0%
126.6408079 1
 
2.0%
126.6434992 1
 
2.0%
126.6515423 2
 
4.0%
126.6519987 6
12.0%
126.6539999 1
 
2.0%
126.6560588 1
 
2.0%
126.657235 1
 
2.0%
ValueCountFrequency (%)
126.6965588 1
2.0%
126.6957692 1
2.0%
126.69497 1
2.0%
126.6940513 1
2.0%
126.69365 1
2.0%
126.69278 1
2.0%
126.6917774 1
2.0%
126.6913054 1
2.0%
126.6889705 1
2.0%
126.6882045 1
2.0%

Interactions

2024-01-28T20:29:57.076705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:29:56.468966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:29:56.865738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:29:57.142210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:29:56.537601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:29:56.932811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:29:57.214564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:29:56.605825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:29:57.008819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T20:29:59.054454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번이름도로명주소위도경도
연번1.0001.0000.8230.2700.375
이름1.0001.0001.0001.0001.000
도로명주소0.8231.0001.0001.0001.000
위도0.2701.0001.0001.0000.569
경도0.3751.0001.0000.5691.000
2024-01-28T20:29:59.122858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.003-0.108
위도0.0031.000-0.302
경도-0.108-0.3021.000

Missing values

2024-01-28T20:29:57.309947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T20:29:57.388728image/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

연번이름도로명주소위도경도
01지진옥외대피장소 인천기계공업고등학교인천광역시 미추홀구 한나루로 54537.456856126.668357
12지진옥외대피장소 인화여자고등학교인천광역시 미추홀구 석정로 16537.47396126.651999
23지진옥외대피장소 용일초등학교인천광역시 미추홀구 인주대로 24437.45245126.663362
34지진옥외대피장소 수봉근린공원인천광역시 미추홀구 수봉안길 8437.45983126.663295
45지진옥외대피장소 관교여자중학교인천광역시 미추홀구 경원대로 69137.445136126.68897
56지진옥외대피장소 용현여자중학교인천광역시 미추홀구 낙섬동로 2837.448406126.64067
67지진옥외대피장소 인천주안남초등학교인천광역시 미추홀구 인주대로434번길 1137.449553126.685002
78지진옥외대피장소 인천주안북초등학교인천광역시 미추홀구 석정로375번길 1437.468161126.678058
89지진옥외대피장소 인천남중학교인천광역시 미추홀구 수봉로 16-2337.463792126.654
910지진옥외대피장소 석암초등학교인천광역시 미추홀구 주안동로 4637.46235126.686728
연번이름도로명주소위도경도
4041지진옥외대피장소 용정초등학교인천광역시 미추홀구 독정안길 2637.459437126.657235
4142지진옥외대피장소 선인중학교인천광역시 미추홀구 석정로 16537.47396126.651999
4243지진옥외대피장소 석바위근린공원인천광역시 미추홀구 구월남로 3837.454244126.69365
4344지진옥외대피장소 쑥골어린이공원인천광역시 미추홀구 도화동 699-1437.471253126.669605
4445지진옥외대피장소 학산초등학교인천광역시 미추홀구 한나루로357번길 6637.439829126.65816
4546지진옥외대피장소 인천대제물포캠퍼스대운동장인천광역시 미추홀구 석정로 16537.47396126.651999
4647지진옥외대피장소 학익초등학교인천광역시 미추홀구 한나루로403번길 12237.447063126.658636
4748지진옥외대피장소 다솔어린이공원인천광역시 미추홀구 주안동 161937.46096126.69497
4849지진옥외대피장소 인하대학교대운동장인천광역시 미추홀구 인하로 10037.451448126.651542
4950지진옥외대피장소 용현중학교인천광역시 미추홀구 낙섬동로 1637.447855126.639548