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 memory45.0 B

Variable types

Text3
Numeric1
Categorical1

Dataset

Description서울특별시 강북구 이재민 대피시설 지정현황입니다. (대피시설의 정확한 주소, 대표 전화번호, 수용 인원 정보 확인)
URLhttps://www.data.go.kr/data/3080328/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:13:03.447947
Analysis finished2023-12-12 07:13:03.905690
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

위 치
Text

Distinct27
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T16:13:04.082290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length25
Mean length23.181818
Min length20

Characters and Unicode

Total characters765
Distinct characters52
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

Unique22 ?
Unique (%)66.7%

Sample

1st row서울특별시 강북구 솔샘로 195(미아동)
2nd row서울특별시 강북구 삼양로49길 17(미아동)
3rd row서울특별시 강북구 삼양로49길 17(미아동)
4th row서울특별시 강북구 삼양로49길 17(미아동)
5th row서울특별시 강북구 오패산로 290-1 (미아동)
ValueCountFrequency (%)
서울특별시 33
24.8%
강북구 33
24.8%
삼양로49길 3
 
2.3%
17(미아동 3
 
2.3%
오현로 3
 
2.3%
한천로 3
 
2.3%
월계로 3
 
2.3%
141(미아동 2
 
1.5%
14(번동 2
 
1.5%
한천로124길 2
 
1.5%
Other values (43) 46
34.6%
2023-12-12T16:13:04.503829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
100
 
13.1%
서 33
 
4.3%
( 33
 
4.3%
특 33
 
4.3%
별 33
 
4.3%
시 33
 
4.3%
강 33
 
4.3%
북 33
 
4.3%
구 33
 
4.3%
울 33
 
4.3%
Other values (42) 368
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 474
62.0%
Decimal Number 123
 
16.1%
Space Separator 100
 
13.1%
Open Punctuation 33
 
4.3%
Close Punctuation 33
 
4.3%
Other Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 33
 
7.0%
특 33
 
7.0%
별 33
 
7.0%
시 33
 
7.0%
강 33
 
7.0%
북 33
 
7.0%
구 33
 
7.0%
울 33
 
7.0%
로 33
 
7.0%
동 33
 
7.0%
Other values (27) 144
30.4%
Decimal Number
ValueCountFrequency (%)
1 28
22.8%
9 19
15.4%
2 18
14.6%
4 17
13.8%
5 10
 
8.1%
0 9
 
7.3%
7 9
 
7.3%
3 6
 
4.9%
6 6
 
4.9%
8 1
 
0.8%
Space Separator
ValueCountFrequency (%)
100
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 474
62.0%
Common 291
38.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 33
 
7.0%
특 33
 
7.0%
별 33
 
7.0%
시 33
 
7.0%
강 33
 
7.0%
북 33
 
7.0%
구 33
 
7.0%
울 33
 
7.0%
로 33
 
7.0%
동 33
 
7.0%
Other values (27) 144
30.4%
Common
ValueCountFrequency (%)
100
34.4%
( 33
 
11.3%
) 33
 
11.3%
1 28
 
9.6%
9 19
 
6.5%
2 18
 
6.2%
4 17
 
5.8%
5 10
 
3.4%
0 9
 
3.1%
7 9
 
3.1%
Other values (5) 15
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 474
62.0%
ASCII 291
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
100
34.4%
( 33
 
11.3%
) 33
 
11.3%
1 28
 
9.6%
9 19
 
6.5%
2 18
 
6.2%
4 17
 
5.8%
5 10
 
3.4%
0 9
 
3.1%
7 9
 
3.1%
Other values (5) 15
 
5.2%
Hangul
ValueCountFrequency (%)
서 33
 
7.0%
특 33
 
7.0%
별 33
 
7.0%
시 33
 
7.0%
강 33
 
7.0%
북 33
 
7.0%
구 33
 
7.0%
울 33
 
7.0%
로 33
 
7.0%
동 33
 
7.0%
Other values (27) 144
30.4%

시설명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T16:13:04.728216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length10.333333
Min length4

Characters and Unicode

Total characters341
Distinct characters80
Distinct categories7 ?
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 row미양초등학교 체육관
2nd row삼양초등학교 급식실
3rd row삼양초등학교 전관(교실)
4th row삼양초등학교 후관(교실)
5th row강북구 보훈회관
ValueCountFrequency (%)
체육관 14
22.2%
교사동 4
 
6.3%
삼양초등학교 3
 
4.8%
수송초등학교 2
 
3.2%
송중초등학교 2
 
3.2%
미양초등학교 1
 
1.6%
유현초등학교 1
 
1.6%
번동중학교 1
 
1.6%
강북웰빙스포츠센터 1
 
1.6%
종합체육관(3층 1
 
1.6%
Other values (33) 33
52.4%
2023-12-12T16:13:05.202409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 39
 
11.4%
30
 
8.8%
학 25
 
7.3%
관 25
 
7.3%
등 19
 
5.6%
초 17
 
5.0%
육 17
 
5.0%
체 16
 
4.7%
중 8
 
2.3%
동 8
 
2.3%
Other values (70) 137
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 298
87.4%
Space Separator 30
 
8.8%
Open Punctuation 4
 
1.2%
Close Punctuation 4
 
1.2%
Other Punctuation 3
 
0.9%
Decimal Number 1
 
0.3%
Uppercase Letter 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 39
 
13.1%
학 25
 
8.4%
관 25
 
8.4%
등 19
 
6.4%
초 17
 
5.7%
육 17
 
5.7%
체 16
 
5.4%
중 8
 
2.7%
동 8
 
2.7%
회 7
 
2.3%
Other values (64) 117
39.3%
Space Separator
ValueCountFrequency (%)
30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 298
87.4%
Common 42
 
12.3%
Latin 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 39
 
13.1%
학 25
 
8.4%
관 25
 
8.4%
등 19
 
6.4%
초 17
 
5.7%
육 17
 
5.7%
체 16
 
5.4%
중 8
 
2.7%
동 8
 
2.7%
회 7
 
2.3%
Other values (64) 117
39.3%
Common
ValueCountFrequency (%)
30
71.4%
( 4
 
9.5%
) 4
 
9.5%
, 3
 
7.1%
3 1
 
2.4%
Latin
ValueCountFrequency (%)
E 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 298
87.4%
ASCII 43
 
12.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 39
 
13.1%
학 25
 
8.4%
관 25
 
8.4%
등 19
 
6.4%
초 17
 
5.7%
육 17
 
5.7%
체 16
 
5.4%
중 8
 
2.7%
동 8
 
2.7%
회 7
 
2.3%
Other values (64) 117
39.3%
ASCII
ValueCountFrequency (%)
30
69.8%
( 4
 
9.3%
) 4
 
9.3%
, 3
 
7.0%
3 1
 
2.3%
E 1
 
2.3%

수용(명)
Real number (ℝ)

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean823.18182
Minimum111
Maximum3459
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-12T16:13:05.359219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum111
5-th percentile143.6
Q1255
median343
Q3858
95-th percentile3056.8
Maximum3459
Range3348
Interquartile range (IQR)603

Descriptive statistics

Standard deviation977.9802
Coefficient of variation (CV)1.1880488
Kurtosis1.7838367
Mean823.18182
Median Absolute Deviation (MAD)143
Skewness1.7202568
Sum27165
Variance956445.28
MonotonicityNot monotonic
2023-12-12T16:13:05.546903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
289 2
 
6.1%
648 1
 
3.0%
257 1
 
3.0%
325 1
 
3.0%
448 1
 
3.0%
298 1
 
3.0%
2176 1
 
3.0%
200 1
 
3.0%
305 1
 
3.0%
568 1
 
3.0%
Other values (22) 22
66.7%
ValueCountFrequency (%)
111 1
3.0%
113 1
3.0%
164 1
3.0%
191 1
3.0%
200 1
3.0%
206 1
3.0%
229 1
3.0%
235 1
3.0%
255 1
3.0%
257 1
3.0%
ValueCountFrequency (%)
3459 1
3.0%
3418 1
3.0%
2816 1
3.0%
2357 1
3.0%
2176 1
3.0%
2117 1
3.0%
1427 1
3.0%
1038 1
3.0%
858 1
3.0%
648 1
3.0%

전화번호
Text

Distinct28
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T16:13:05.729377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.060606
Min length11

Characters and Unicode

Total characters365
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

Unique24 ?
Unique (%)72.7%

Sample

1st row02-980-6149
2nd row02-987-8324
3rd row02-987-8324
4th row02-987-8324
5th row02-981-4200
ValueCountFrequency (%)
02-987-8324 3
 
9.1%
02-986-1705 2
 
6.1%
02-994-0693 2
 
6.1%
02-985-1923 2
 
6.1%
02-980-6149 1
 
3.0%
02-944-2913 1
 
3.0%
02-991-7532 1
 
3.0%
02-904-8111 1
 
3.0%
02-6715-6606 1
 
3.0%
02-999-4107 1
 
3.0%
Other values (18) 18
54.5%
2023-12-12T16:13:06.054922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 66
18.1%
9 56
15.3%
2 52
14.2%
0 51
14.0%
8 29
7.9%
1 24
 
6.6%
4 23
 
6.3%
7 21
 
5.8%
3 18
 
4.9%
5 13
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 299
81.9%
Dash Punctuation 66
 
18.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 56
18.7%
2 52
17.4%
0 51
17.1%
8 29
9.7%
1 24
8.0%
4 23
7.7%
7 21
 
7.0%
3 18
 
6.0%
5 13
 
4.3%
6 12
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 365
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 66
18.1%
9 56
15.3%
2 52
14.2%
0 51
14.0%
8 29
7.9%
1 24
 
6.6%
4 23
 
6.3%
7 21
 
5.8%
3 18
 
4.9%
5 13
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 365
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 66
18.1%
9 56
15.3%
2 52
14.2%
0 51
14.0%
8 29
7.9%
1 24
 
6.6%
4 23
 
6.3%
7 21
 
5.8%
3 18
 
4.9%
5 13
 
3.6%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-06-26
33 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-26
2nd row2023-06-26
3rd row2023-06-26
4th row2023-06-26
5th row2023-06-26

Common Values

ValueCountFrequency (%)
2023-06-26 33
100.0%

Length

2023-12-12T16:13:06.194015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:13:06.293863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-26 33
100.0%

Interactions

2023-12-12T16:13:03.643504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:13:06.349193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위 치시설명수용(명)전화번호
위 치1.0001.0000.0001.000
시설명1.0001.0001.0001.000
수용(명)0.0001.0001.0000.000
전화번호1.0001.0000.0001.000

Missing values

2023-12-12T16:13:03.777012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:13:03.867167image/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

위 치시설명수용(명)전화번호데이터기준일자
0서울특별시 강북구 솔샘로 195(미아동)미양초등학교 체육관64802-980-61492023-06-26
1서울특별시 강북구 삼양로49길 17(미아동)삼양초등학교 급식실30002-987-83242023-06-26
2서울특별시 강북구 삼양로49길 17(미아동)삼양초등학교 전관(교실)235702-987-83242023-06-26
3서울특별시 강북구 삼양로49길 17(미아동)삼양초등학교 후관(교실)142702-987-83242023-06-26
4서울특별시 강북구 오패산로 290-1 (미아동)강북구 보훈회관11302-981-42002023-06-26
5서울특별시 강북구 솔매로49길 20(미아동)신일중학교 교사동103802-944-98132023-06-26
6서울특별시 강북구 오현로 9(미아동)송중초등학교 강당28902-985-19232023-06-26
7서울특별시 강북구 오현로 9(미아동)송중초등학교 교사동211702-985-19232023-06-26
8서울특별시 강북구 월계로 61(미아동)창문여자고등학교 체육관25502-986-17052023-06-26
9서울특별시 강북구 월계로 61(미아동)창문여자중학교 교사동(E동)85802-986-17052023-06-26
위 치시설명수용(명)전화번호데이터기준일자
23서울특별시 강북구 월계로 221(번동)오현초등학교 교사동217602-987-04182023-06-26
24서울특별시 강북구 삼양로74길 39(수유동)수유초등학교 체육관20002-989-37342023-06-26
25서울특별시 강북구 인수봉로37길 24(수유동)유현초등학교 체육관30502-985-31212023-06-26
26서울특별시 강북구 한천로 1125(수유동)성북교회25702-997-31452023-06-26
27서울특별시 강북구 노해로 50(수유동)성실교회 교육관56802-998-99882023-06-26
28서울특별시 강북구 한천로150길 67(수유동)강북중학교 체육관16402-999-41072023-06-26
29서울특별시 강북구 4.19로 74(수유동)강북청소년센터 체육관22902-6715-66062023-06-26
30서울특별시 강북구 삼양로163길 74(우이동)우이제일교회 사회복지관20602-904-81112023-06-26
31서울특별시 강북구 삼양로99길 36(수유동)우이초등학교 체육관45202-991-75322023-06-26
32서울특별시 강북구 인수봉로 269(수유동)인수초등학교 체육관23502-902-20032023-06-26