Overview

Dataset statistics

Number of variables14
Number of observations28
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory119.7 B

Variable types

Numeric3
Text4
Categorical6
Boolean1

Dataset

Description인천광역시 중구 관내에 위치한 에 대한 데이터 입니다.파일명 인천광역시_중구_이재민임시주거시설파일내용 시설구분, 시설명, 상세주소, 수용가능인원 등
Author인천광역시 중구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15086301&srcSe=7661IVAWM27C61E190

Alerts

담당부서 has constant value ""Constant
사용여부 has constant value ""Constant
데이터기준일자 has constant value ""Constant
수용가능면적(제곱미터) is highly overall correlated with 수용가능인원(명) and 1 other fieldsHigh correlation
수용가능인원(명) is highly overall correlated with 수용가능면적(제곱미터) and 1 other fieldsHigh correlation
시설구분 is highly overall correlated with 수용가능인원(명) and 1 other fieldsHigh correlation
상세시설명 is highly overall correlated with 시설구분 and 1 other fieldsHigh correlation
내진설계 is highly overall correlated with 수용가능면적(제곱미터)High correlation
지정일자 is highly overall correlated with 상세시설명High correlation
지정일자 is highly imbalanced (77.8%)Imbalance
연번 has unique valuesUnique
시설명 has unique valuesUnique
수용가능면적(제곱미터) has unique valuesUnique

Reproduction

Analysis started2024-01-28 05:41:42.730829
Analysis finished2024-01-28 05:41:44.108395
Duration1.38 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.5
Minimum1
Maximum28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-01-28T14:41:44.174360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.35
Q17.75
median14.5
Q321.25
95-th percentile26.65
Maximum28
Range27
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation8.2259751
Coefficient of variation (CV)0.56730863
Kurtosis-1.2
Mean14.5
Median Absolute Deviation (MAD)7
Skewness0
Sum406
Variance67.666667
MonotonicityStrictly increasing
2024-01-28T14:41:44.285099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1 1
 
3.6%
16 1
 
3.6%
28 1
 
3.6%
27 1
 
3.6%
26 1
 
3.6%
25 1
 
3.6%
24 1
 
3.6%
23 1
 
3.6%
22 1
 
3.6%
21 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
1 1
3.6%
2 1
3.6%
3 1
3.6%
4 1
3.6%
5 1
3.6%
6 1
3.6%
7 1
3.6%
8 1
3.6%
9 1
3.6%
10 1
3.6%
ValueCountFrequency (%)
28 1
3.6%
27 1
3.6%
26 1
3.6%
25 1
3.6%
24 1
3.6%
23 1
3.6%
22 1
3.6%
21 1
3.6%
20 1
3.6%
19 1
3.6%

지역명
Text

Distinct18
Distinct (%)64.3%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-01-28T14:41:44.428556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13.5
Mean length12.571429
Min length11

Characters and Unicode

Total characters352
Distinct characters36
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)42.9%

Sample

1st row인천광역시 중구 항동7가
2nd row인천광역시 중구 항동7가
3rd row인천광역시 중구 신생동
4th row인천광역시 중구 관동1가
5th row인천광역시 중구 답동
ValueCountFrequency (%)
인천광역시 28
33.3%
중구 28
33.3%
신흥동3가 4
 
4.8%
운서동 3
 
3.6%
남북동 3
 
3.6%
항동7가 2
 
2.4%
답동 2
 
2.4%
운남동 2
 
2.4%
신생동 1
 
1.2%
북성동2가 1
 
1.2%
Other values (10) 10
 
11.9%
2024-01-28T14:41:44.679858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
56
15.9%
중 29
8.2%
인 28
8.0%
천 28
8.0%
구 28
8.0%
동 28
8.0%
시 28
8.0%
역 28
8.0%
광 28
8.0%
가 11
 
3.1%
Other values (26) 60
17.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 285
81.0%
Space Separator 56
 
15.9%
Decimal Number 11
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 29
10.2%
인 28
9.8%
천 28
9.8%
구 28
9.8%
동 28
9.8%
시 28
9.8%
역 28
9.8%
광 28
9.8%
가 11
 
3.9%
신 6
 
2.1%
Other values (21) 43
15.1%
Decimal Number
ValueCountFrequency (%)
3 4
36.4%
2 3
27.3%
1 2
18.2%
7 2
18.2%
Space Separator
ValueCountFrequency (%)
56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 285
81.0%
Common 67
 
19.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 29
10.2%
인 28
9.8%
천 28
9.8%
구 28
9.8%
동 28
9.8%
시 28
9.8%
역 28
9.8%
광 28
9.8%
가 11
 
3.9%
신 6
 
2.1%
Other values (21) 43
15.1%
Common
ValueCountFrequency (%)
56
83.6%
3 4
 
6.0%
2 3
 
4.5%
1 2
 
3.0%
7 2
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 285
81.0%
ASCII 67
 
19.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
56
83.6%
3 4
 
6.0%
2 3
 
4.5%
1 2
 
3.0%
7 2
 
3.0%
Hangul
ValueCountFrequency (%)
중 29
10.2%
인 28
9.8%
천 28
9.8%
구 28
9.8%
동 28
9.8%
시 28
9.8%
역 28
9.8%
광 28
9.8%
가 11
 
3.9%
신 6
 
2.1%
Other values (21) 43
15.1%

시설구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
학교
15 
관공서
12 
연수,숙박
 
1

Length

Max length5
Median length2
Mean length2.5357143
Min length2

Unique

Unique1 ?
Unique (%)3.6%

Sample

1st row관공서
2nd row학교
3rd row관공서
4th row관공서
5th row학교

Common Values

ValueCountFrequency (%)
학교 15
53.6%
관공서 12
42.9%
연수,숙박 1
 
3.6%

Length

2024-01-28T14:41:44.792688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T14:41:44.873423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학교 15
53.6%
관공서 12
42.9%
연수,숙박 1
 
3.6%

시설명
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-01-28T14:41:45.015330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length8.0357143
Min length5

Characters and Unicode

Total characters225
Distinct characters56
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st row연안동 행정복지센터
2nd row연안초등학교
3rd row신포동 행정복지센터
4th row중구제1청
5th row송도중학교
ValueCountFrequency (%)
행정복지센터 9
23.1%
영종초등학교 2
 
5.1%
연안동 1
 
2.6%
용유중학교 1
 
2.6%
인천광역시교육청교직원수련원 1
 
2.6%
용유동 1
 
2.6%
삼목초등학교 1
 
2.6%
공항초등학교 1
 
2.6%
공항중학교 1
 
2.6%
금산분교 1
 
2.6%
Other values (20) 20
51.3%
2024-01-28T14:41:45.528498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 18
 
8.0%
학 15
 
6.7%
동 12
 
5.3%
11
 
4.9%
터 11
 
4.9%
행 10
 
4.4%
정 10
 
4.4%
복 10
 
4.4%
지 10
 
4.4%
센 10
 
4.4%
Other values (46) 108
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 210
93.3%
Space Separator 11
 
4.9%
Decimal Number 2
 
0.9%
Close Punctuation 1
 
0.4%
Open Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 18
 
8.6%
학 15
 
7.1%
동 12
 
5.7%
터 11
 
5.2%
행 10
 
4.8%
정 10
 
4.8%
복 10
 
4.8%
지 10
 
4.8%
센 10
 
4.8%
초 9
 
4.3%
Other values (41) 95
45.2%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 210
93.3%
Common 15
 
6.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 18
 
8.6%
학 15
 
7.1%
동 12
 
5.7%
터 11
 
5.2%
행 10
 
4.8%
정 10
 
4.8%
복 10
 
4.8%
지 10
 
4.8%
센 10
 
4.8%
초 9
 
4.3%
Other values (41) 95
45.2%
Common
ValueCountFrequency (%)
11
73.3%
2 1
 
6.7%
) 1
 
6.7%
( 1
 
6.7%
1 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 210
93.3%
ASCII 15
 
6.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 18
 
8.6%
학 15
 
7.1%
동 12
 
5.7%
터 11
 
5.2%
행 10
 
4.8%
정 10
 
4.8%
복 10
 
4.8%
지 10
 
4.8%
센 10
 
4.8%
초 9
 
4.3%
Other values (41) 95
45.2%
ASCII
ValueCountFrequency (%)
11
73.3%
2 1
 
6.7%
) 1
 
6.7%
( 1
 
6.7%
1 1
 
6.7%

상세시설명
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
회의실
10 
급식소
7 
강당
3 
본관
3 
체육관
2 
Other values (3)
3 

Length

Max length9
Median length3
Mean length3.1428571
Min length2

Unique

Unique3 ?
Unique (%)10.7%

Sample

1st row회의실
2nd row체육관
3rd row회의실
4th row상황실 및 회의실
5th row급식소

Common Values

ValueCountFrequency (%)
회의실 10
35.7%
급식소 7
25.0%
강당 3
 
10.7%
본관 3
 
10.7%
체육관 2
 
7.1%
상황실 및 회의실 1
 
3.6%
관공서 1
 
3.6%
용유초 교사동 1
 
3.6%

Length

2024-01-28T14:41:45.645066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T14:41:45.739584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
회의실 11
35.5%
급식소 7
22.6%
강당 3
 
9.7%
본관 3
 
9.7%
체육관 2
 
6.5%
상황실 1
 
3.2%
및 1
 
3.2%
관공서 1
 
3.2%
용유초 1
 
3.2%
교사동 1
 
3.2%

상세주소
Text

Distinct24
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-01-28T14:41:45.932486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28.5
Mean length24.607143
Min length20

Characters and Unicode

Total characters689
Distinct characters76
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)71.4%

Sample

1st row인천광역시 중구 축항대로86번길 44(항동7가)
2nd row인천광역시 중구 연안부두로33번길 53(항동7가)
3rd row인천광역시 중구 제물량로 168(신생동)
4th row인천광역시 중구 신포로27번길 80(관동1가)
5th row인천광역시 중구 제물량로 123(답동)
ValueCountFrequency (%)
인천광역시 28
23.9%
중구 28
23.9%
제물량로 3
 
2.6%
남북로87번길 2
 
1.7%
4(남북동 2
 
1.7%
운남서로 2
 
1.7%
100(운남동 2
 
1.7%
인항로24번길 2
 
1.7%
37(신흥동3가 2
 
1.7%
영종대로27번길 2
 
1.7%
Other values (43) 44
37.6%
2024-01-28T14:41:46.243385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
89
 
12.9%
인 31
 
4.5%
시 30
 
4.4%
중 30
 
4.4%
로 28
 
4.1%
) 28
 
4.1%
동 28
 
4.1%
( 28
 
4.1%
천 28
 
4.1%
구 28
 
4.1%
Other values (66) 341
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 425
61.7%
Decimal Number 114
 
16.5%
Space Separator 89
 
12.9%
Close Punctuation 28
 
4.1%
Open Punctuation 28
 
4.1%
Dash Punctuation 5
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 31
 
7.3%
시 30
 
7.1%
중 30
 
7.1%
로 28
 
6.6%
동 28
 
6.6%
천 28
 
6.6%
구 28
 
6.6%
역 28
 
6.6%
광 28
 
6.6%
번 17
 
4.0%
Other values (52) 149
35.1%
Decimal Number
ValueCountFrequency (%)
3 21
18.4%
4 17
14.9%
2 17
14.9%
1 13
11.4%
7 12
10.5%
0 7
 
6.1%
9 7
 
6.1%
5 7
 
6.1%
8 7
 
6.1%
6 6
 
5.3%
Space Separator
ValueCountFrequency (%)
89
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 425
61.7%
Common 264
38.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 31
 
7.3%
시 30
 
7.1%
중 30
 
7.1%
로 28
 
6.6%
동 28
 
6.6%
천 28
 
6.6%
구 28
 
6.6%
역 28
 
6.6%
광 28
 
6.6%
번 17
 
4.0%
Other values (52) 149
35.1%
Common
ValueCountFrequency (%)
89
33.7%
) 28
 
10.6%
( 28
 
10.6%
3 21
 
8.0%
4 17
 
6.4%
2 17
 
6.4%
1 13
 
4.9%
7 12
 
4.5%
0 7
 
2.7%
9 7
 
2.7%
Other values (4) 25
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 425
61.7%
ASCII 264
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
89
33.7%
) 28
 
10.6%
( 28
 
10.6%
3 21
 
8.0%
4 17
 
6.4%
2 17
 
6.4%
1 13
 
4.9%
7 12
 
4.5%
0 7
 
2.7%
9 7
 
2.7%
Other values (4) 25
 
9.5%
Hangul
ValueCountFrequency (%)
인 31
 
7.3%
시 30
 
7.1%
중 30
 
7.1%
로 28
 
6.6%
동 28
 
6.6%
천 28
 
6.6%
구 28
 
6.6%
역 28
 
6.6%
광 28
 
6.6%
번 17
 
4.0%
Other values (52) 149
35.1%

수용가능면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean743.57143
Minimum23
Maximum3791
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-01-28T14:41:46.356642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile60.35
Q1118.75
median323
Q3844
95-th percentile3247
Maximum3791
Range3768
Interquartile range (IQR)725.25

Descriptive statistics

Standard deviation1025.2992
Coefficient of variation (CV)1.3788846
Kurtosis3.7716581
Mean743.57143
Median Absolute Deviation (MAD)230
Skewness2.0988852
Sum20820
Variance1051238.5
MonotonicityNot monotonic
2024-01-28T14:41:46.453074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
538 1
 
3.6%
46 1
 
3.6%
141 1
 
3.6%
321 1
 
3.6%
3625 1
 
3.6%
23 1
 
3.6%
943 1
 
3.6%
1030 1
 
3.6%
811 1
 
3.6%
92 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
23 1
3.6%
46 1
3.6%
87 1
3.6%
92 1
3.6%
94 1
3.6%
99 1
3.6%
109 1
3.6%
122 1
3.6%
132 1
3.6%
141 1
3.6%
ValueCountFrequency (%)
3791 1
3.6%
3625 1
3.6%
2545 1
3.6%
2010 1
3.6%
1080 1
3.6%
1030 1
3.6%
943 1
3.6%
811 1
3.6%
726 1
3.6%
672 1
3.6%

수용가능인원(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201
Minimum6
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-01-28T14:41:46.551824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile17.55
Q135.25
median80
Q3238
95-th percentile753.15
Maximum1000
Range994
Interquartile range (IQR)202.75

Descriptive statistics

Standard deviation261.66815
Coefficient of variation (CV)1.3018316
Kurtosis2.8026315
Mean201
Median Absolute Deviation (MAD)52.5
Skewness1.8709561
Sum5628
Variance68470.222
MonotonicityNot monotonic
2024-01-28T14:41:46.662988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
60 2
 
7.1%
50 1
 
3.6%
13 1
 
3.6%
47 1
 
3.6%
97 1
 
3.6%
1000 1
 
3.6%
6 1
 
3.6%
205 1
 
3.6%
312 1
 
3.6%
292 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
6 1
3.6%
13 1
3.6%
26 1
3.6%
27 1
3.6%
28 1
3.6%
29 1
3.6%
33 1
3.6%
36 1
3.6%
40 1
3.6%
47 1
3.6%
ValueCountFrequency (%)
1000 1
3.6%
771 1
3.6%
720 1
3.6%
609 1
3.6%
327 1
3.6%
312 1
3.6%
292 1
3.6%
220 1
3.6%
205 1
3.6%
204 1
3.6%

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
인천광역시 중구 도시재생국 안전관리과
28 

Length

Max length20
Median length20
Mean length20
Min length20

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row인천광역시 중구 도시재생국 안전관리과
2nd row인천광역시 중구 도시재생국 안전관리과
3rd row인천광역시 중구 도시재생국 안전관리과
4th row인천광역시 중구 도시재생국 안전관리과
5th row인천광역시 중구 도시재생국 안전관리과

Common Values

ValueCountFrequency (%)
인천광역시 중구 도시재생국 안전관리과 28
100.0%

Length

2024-01-28T14:41:46.799459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T14:41:46.881532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 28
25.0%
중구 28
25.0%
도시재생국 28
25.0%
안전관리과 28
25.0%

대표전화
Text

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-01-28T14:41:47.026146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters336
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)92.9%

Sample

1st row032-760-6120
2nd row032-883-6794
3rd row032-760-6100
4th row032-760-7156
5th row032-772-9383
ValueCountFrequency (%)
032-760-6220 2
 
7.1%
032-760-6120 1
 
3.6%
032-760-6200 1
 
3.6%
032-754-7595 1
 
3.6%
032-746-1490 1
 
3.6%
032-760-6280 1
 
3.6%
032-746-2813 1
 
3.6%
032-752-2073 1
 
3.6%
032-746-3705 1
 
3.6%
032-760-8890 1
 
3.6%
Other values (17) 17
60.7%
2024-01-28T14:41:47.320100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 60
17.9%
- 56
16.7%
2 42
12.5%
6 39
11.6%
3 37
11.0%
7 34
10.1%
8 25
7.4%
1 12
 
3.6%
5 12
 
3.6%
4 11
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 280
83.3%
Dash Punctuation 56
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 60
21.4%
2 42
15.0%
6 39
13.9%
3 37
13.2%
7 34
12.1%
8 25
8.9%
1 12
 
4.3%
5 12
 
4.3%
4 11
 
3.9%
9 8
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 336
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 60
17.9%
- 56
16.7%
2 42
12.5%
6 39
11.6%
3 37
11.0%
7 34
10.1%
8 25
7.4%
1 12
 
3.6%
5 12
 
3.6%
4 11
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 336
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 60
17.9%
- 56
16.7%
2 42
12.5%
6 39
11.6%
3 37
11.0%
7 34
10.1%
8 25
7.4%
1 12
 
3.6%
5 12
 
3.6%
4 11
 
3.3%

내진설계
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
미적용
16 
적용
12 

Length

Max length3
Median length3
Mean length2.5714286
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row적용
2nd row적용
3rd row미적용
4th row적용
5th row미적용

Common Values

ValueCountFrequency (%)
미적용 16
57.1%
적용 12
42.9%

Length

2024-01-28T14:41:47.436403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T14:41:47.516354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미적용 16
57.1%
적용 12
42.9%

사용여부
Boolean

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size160.0 B
True
28 
ValueCountFrequency (%)
True 28
100.0%
2024-01-28T14:41:47.585660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

지정일자
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
2021-02-04
27 
2022-02-09
 
1

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique1 ?
Unique (%)3.6%

Sample

1st row2021-02-04
2nd row2021-02-04
3rd row2021-02-04
4th row2021-02-04
5th row2021-02-04

Common Values

ValueCountFrequency (%)
2021-02-04 27
96.4%
2022-02-09 1
 
3.6%

Length

2024-01-28T14:41:47.656194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T14:41:47.730859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-02-04 27
96.4%
2022-02-09 1
 
3.6%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-08-25
28 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-25
2nd row2023-08-25
3rd row2023-08-25
4th row2023-08-25
5th row2023-08-25

Common Values

ValueCountFrequency (%)
2023-08-25 28
100.0%

Length

2024-01-28T14:41:47.810523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T14:41:47.889245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-25 28
100.0%

Interactions

2024-01-28T14:41:43.613427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T14:41:43.206969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T14:41:43.407292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T14:41:43.685339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T14:41:43.269964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T14:41:43.474883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T14:41:43.772369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T14:41:43.340213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T14:41:43.546603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T14:41:47.946715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지역명시설구분시설명상세시설명상세주소수용가능면적(제곱미터)수용가능인원(명)대표전화내진설계지정일자
연번1.0000.9190.4791.0000.2160.9420.3710.0001.0000.0000.000
지역명0.9191.0000.9901.0000.7791.0000.2100.0000.8630.5981.000
시설구분0.4790.9901.0001.0000.8001.0000.8250.8191.0000.0000.000
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
상세시설명0.2160.7790.8001.0001.0000.9660.6530.6240.0000.0001.000
상세주소0.9421.0001.0001.0000.9661.0000.7420.0000.9560.5371.000
수용가능면적(제곱미터)0.3710.2100.8251.0000.6530.7421.0000.9111.0000.8560.000
수용가능인원(명)0.0000.0000.8191.0000.6240.0000.9111.0001.0000.3420.000
대표전화1.0000.8631.0001.0000.0000.9561.0001.0001.0001.0000.000
내진설계0.0000.5980.0001.0000.0000.5370.8560.3421.0001.0000.000
지정일자0.0001.0000.0001.0001.0001.0000.0000.0000.0000.0001.000
2024-01-28T14:41:48.056455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
내진설계상세시설명시설구분지정일자
내진설계1.0000.0000.0000.000
상세시설명0.0001.0000.6450.877
시설구분0.0000.6451.0000.000
지정일자0.0000.8770.0001.000
2024-01-28T14:41:48.136155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번수용가능면적(제곱미터)수용가능인원(명)시설구분상세시설명내진설계지정일자
연번1.000-0.184-0.1410.2570.0000.0000.000
수용가능면적(제곱미터)-0.1841.0000.9810.4740.4060.6080.000
수용가능인원(명)-0.1410.9811.0000.7120.3740.3180.000
시설구분0.2570.4740.7121.0000.6450.0000.000
상세시설명0.0000.4060.3740.6451.0000.0000.877
내진설계0.0000.6080.3180.0000.0001.0000.000
지정일자0.0000.0000.0000.0000.8770.0001.000

Missing values

2024-01-28T14:41:43.896846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T14:41:44.047347image/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

연번지역명시설구분시설명상세시설명상세주소수용가능면적(제곱미터)수용가능인원(명)담당부서대표전화내진설계사용여부지정일자데이터기준일자
01인천광역시 중구 항동7가관공서연안동 행정복지센터회의실인천광역시 중구 축항대로86번길 44(항동7가)53850인천광역시 중구 도시재생국 안전관리과032-760-6120적용Y2021-02-042023-08-25
12인천광역시 중구 항동7가학교연안초등학교체육관인천광역시 중구 연안부두로33번길 53(항동7가)672204인천광역시 중구 도시재생국 안전관리과032-883-6794적용Y2021-02-042023-08-25
23인천광역시 중구 신생동관공서신포동 행정복지센터회의실인천광역시 중구 제물량로 168(신생동)20863인천광역시 중구 도시재생국 안전관리과032-760-6100미적용Y2021-02-042023-08-25
34인천광역시 중구 관동1가관공서중구제1청상황실 및 회의실인천광역시 중구 신포로27번길 80(관동1가)422127인천광역시 중구 도시재생국 안전관리과032-760-7156적용Y2021-02-042023-08-25
45인천광역시 중구 답동학교송도중학교급식소인천광역시 중구 제물량로 123(답동)1080327인천광역시 중구 도시재생국 안전관리과032-772-9383미적용Y2021-02-042023-08-25
56인천광역시 중구 답동학교신흥초등학교체육관인천광역시 중구 제물량로 134(답동)2545771인천광역시 중구 도시재생국 안전관리과032-772-8912미적용Y2021-02-042023-08-25
67인천광역시 중구 송학동2가학교인성여중학교강당인천광역시 중구 홍예문로 39(송학동2가)32598인천광역시 중구 도시재생국 안전관리과032-762-8505미적용Y2021-02-042023-08-25
78인천광역시 중구 신흥동2가관공서신흥동 행정복지센터회의실인천광역시 중구 서해대로464번길 1-2 (신흥동2가)9929인천광역시 중구 도시재생국 안전관리과032-760-6140미적용Y2021-02-042023-08-25
89인천광역시 중구 신흥동3가학교신광초등학교급식소인천광역시 중구 인중로63번길 9(신흥동3가)726220인천광역시 중구 도시재생국 안전관리과032-884-6676적용Y2021-02-042023-08-25
910인천광역시 중구 신흥동3가학교신선초등학교본관인천광역시 중구 축항대로291번길 33(신흥동3가)13240인천광역시 중구 도시재생국 안전관리과032-886-6676미적용Y2021-02-042023-08-25
연번지역명시설구분시설명상세시설명상세주소수용가능면적(제곱미터)수용가능인원(명)담당부서대표전화내진설계사용여부지정일자데이터기준일자
1819인천광역시 중구 운남동관공서중구제2청회의실인천광역시 중구 운남서로 100(운남동)9427인천광역시 중구 도시재생국 안전관리과032-760-8813적용Y2021-02-042023-08-25
1920인천광역시 중구 중산동학교영종초등학교급식소인천광역시 중구 백운로 57-29 (중산동)424128인천광역시 중구 도시재생국 안전관리과032-746-0016적용Y2021-02-042023-08-25
2021인천광역시 중구 운북동학교영종초등학교 금산분교본관인천광역시 중구 백운로414번길 63-50 (운북동)9228인천광역시 중구 도시재생국 안전관리과032-760-8890미적용Y2021-02-042023-08-25
2122인천광역시 중구 운서동학교공항중학교급식소인천광역시 중구 영종대로27번길 49(운서동)811292인천광역시 중구 도시재생국 안전관리과032-746-3705미적용Y2021-02-042023-08-25
2223인천광역시 중구 운서동학교공항초등학교급식소인천광역시 중구 영종대로27번길 49(운서동)1030312인천광역시 중구 도시재생국 안전관리과032-752-2073적용Y2021-02-042023-08-25
2324인천광역시 중구 운서동학교삼목초등학교급식소인천광역시 중구 신도시북로 42(운서동)943205인천광역시 중구 도시재생국 안전관리과032-746-2813미적용Y2021-02-042023-08-25
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2526인천광역시 중구 을왕동연수,숙박인천광역시교육청교직원수련원본관인천광역시 중구 용유서로 358(을왕동)36251000인천광역시 중구 도시재생국 안전관리과032-746-1490적용Y2021-02-042023-08-25
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2728인천광역시 중구 남북동학교용유초등학교급식소인천광역시 중구 남북로87번길 4(남북동)14147인천광역시 중구 도시재생국 안전관리과032-746-7595미적용Y2021-02-042023-08-25