Overview

Dataset statistics

Number of variables13
Number of observations585
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory61.3 KiB
Average record size in memory107.2 B

Variable types

Numeric3
Categorical4
Text4
DateTime2

Dataset

Description광주광역시 민방위 주민대피시설 현황입니다. 시설종류, 시설용도, 대피시설명칭, 주소, 확보면적, 안내표지판 및 안전취약계층편의설비 등의 현황을 제공합니다.
Author광주광역시
URLhttps://www.data.go.kr/data/15059989/fileData.do

Alerts

시도 has constant value ""Constant
시설종류 has constant value ""Constant
연번 is highly overall correlated with 자치구High correlation
확보면적(제곱미터) is highly overall correlated with 대피가능인원High correlation
대피가능인원 is highly overall correlated with 확보면적(제곱미터)High correlation
자치구 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-23 07:49:18.956340
Analysis finished2023-12-23 07:49:29.225734
Duration10.27 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct585
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean293
Minimum1
Maximum585
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2023-12-23T07:49:29.441389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile30.2
Q1147
median293
Q3439
95-th percentile555.8
Maximum585
Range584
Interquartile range (IQR)292

Descriptive statistics

Standard deviation169.01923
Coefficient of variation (CV)0.57685744
Kurtosis-1.2
Mean293
Median Absolute Deviation (MAD)146
Skewness0
Sum171405
Variance28567.5
MonotonicityStrictly increasing
2023-12-23T07:49:29.973002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
403 1
 
0.2%
387 1
 
0.2%
388 1
 
0.2%
389 1
 
0.2%
390 1
 
0.2%
391 1
 
0.2%
392 1
 
0.2%
393 1
 
0.2%
394 1
 
0.2%
Other values (575) 575
98.3%
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 (%)
585 1
0.2%
584 1
0.2%
583 1
0.2%
582 1
0.2%
581 1
0.2%
580 1
0.2%
579 1
0.2%
578 1
0.2%
577 1
0.2%
576 1
0.2%

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
광주
585 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광주 585
100.0%

Length

2023-12-23T07:49:30.683855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T07:49:31.159691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광주 585
100.0%

자치구
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
북구
144 
남구
126 
광산구
121 
서구
100 
동구
88 
Other values (2)
 
6

Length

Max length5
Median length2
Mean length2.234188
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
북구 144
24.6%
남구 126
21.5%
광산구 121
20.7%
서구 100
17.1%
동구 88
15.0%
광산구 5
 
0.9%
북구 1
 
0.2%

Length

2023-12-23T07:49:31.536040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T07:49:31.984927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북구 145
24.8%
남구 126
21.5%
광산구 126
21.5%
서구 100
17.1%
동구 88
15.0%

행정동
Text

Distinct95
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2023-12-23T07:49:32.930451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.5094017
Min length2

Characters and Unicode

Total characters2053
Distinct characters80
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

Unique6 ?
Unique (%)1.0%

Sample

1st row산수1동
2nd row계림2동
3rd row산수2동
4th row서남동
5th row학운동
ValueCountFrequency (%)
산수2동 25
 
4.3%
우산동 19
 
3.2%
치평동 17
 
2.9%
봉선1동 16
 
2.7%
어룡동 15
 
2.6%
봉선2동 14
 
2.4%
학운동 13
 
2.2%
첨단1동 13
 
2.2%
도산동 11
 
1.9%
풍암동 10
 
1.7%
Other values (85) 432
73.8%
2023-12-23T07:49:34.407853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 600
29.2%
2 143
 
7.0%
1 128
 
6.2%
산 96
 
4.7%
월 57
 
2.8%
운 52
 
2.5%
암 46
 
2.2%
정 41
 
2.0%
봉 37
 
1.8%
수 35
 
1.7%
Other values (70) 818
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1740
84.8%
Decimal Number 313
 
15.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 600
34.5%
산 96
 
5.5%
월 57
 
3.3%
운 52
 
3.0%
암 46
 
2.6%
정 41
 
2.4%
봉 37
 
2.1%
수 35
 
2.0%
곡 34
 
2.0%
화 32
 
1.8%
Other values (65) 710
40.8%
Decimal Number
ValueCountFrequency (%)
2 143
45.7%
1 128
40.9%
3 18
 
5.8%
4 17
 
5.4%
5 7
 
2.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1740
84.8%
Common 313
 
15.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 600
34.5%
산 96
 
5.5%
월 57
 
3.3%
운 52
 
3.0%
암 46
 
2.6%
정 41
 
2.4%
봉 37
 
2.1%
수 35
 
2.0%
곡 34
 
2.0%
화 32
 
1.8%
Other values (65) 710
40.8%
Common
ValueCountFrequency (%)
2 143
45.7%
1 128
40.9%
3 18
 
5.8%
4 17
 
5.4%
5 7
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1740
84.8%
ASCII 313
 
15.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 600
34.5%
산 96
 
5.5%
월 57
 
3.3%
운 52
 
3.0%
암 46
 
2.6%
정 41
 
2.4%
봉 37
 
2.1%
수 35
 
2.0%
곡 34
 
2.0%
화 32
 
1.8%
Other values (65) 710
40.8%
ASCII
ValueCountFrequency (%)
2 143
45.7%
1 128
40.9%
3 18
 
5.8%
4 17
 
5.4%
5 7
 
2.2%

시설종류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
공공용
585 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공공용 585
100.0%

Length

2023-12-23T07:49:35.276474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T07:49:35.860948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공용 585
100.0%

시설용도
Categorical

Distinct11
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
주거시설
410 
상업시설
 
40
관공서
 
35
교통시설
 
24
종교시설
 
22
Other values (6)
54 

Length

Max length4
Median length4
Mean length3.9401709
Min length3

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row주거시설
2nd row교육시설
3rd row상업시설
4th row관공서
5th row주거시설

Common Values

ValueCountFrequency (%)
주거시설 410
70.1%
상업시설 40
 
6.8%
관공서 35
 
6.0%
교통시설 24
 
4.1%
종교시설 22
 
3.8%
교육시설 19
 
3.2%
금융시설 16
 
2.7%
의료시설 10
 
1.7%
편의시설 4
 
0.7%
복지시설 4
 
0.7%

Length

2023-12-23T07:49:36.271075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
주거시설 410
70.1%
상업시설 40
 
6.8%
관공서 35
 
6.0%
교통시설 24
 
4.1%
종교시설 22
 
3.8%
교육시설 19
 
3.2%
금융시설 16
 
2.7%
의료시설 10
 
1.7%
편의시설 4
 
0.7%
복지시설 4
 
0.7%

시설명
Text

Distinct544
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2023-12-23T07:49:37.116218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length8.6888889
Min length3

Characters and Unicode

Total characters5083
Distinct characters317
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique516 ?
Unique (%)88.2%

Sample

1st row동진맨션(지하1층)
2nd row계림초등학교(지하1층)
3rd row무들빌딩(지하1층)
4th row동구청(지하1층)
5th row라인2차A 202동(지하1층)
ValueCountFrequency (%)
지하주차장 81
 
10.8%
아파트 13
 
1.7%
101동 10
 
1.3%
호반리젠시빌 8
 
1.1%
현대아파트 8
 
1.1%
우미아파트 6
 
0.8%
대주아파트 6
 
0.8%
모아아파트 6
 
0.8%
일신아파트 5
 
0.7%
대화아파트 4
 
0.5%
Other values (547) 604
80.4%
2023-12-23T07:49:38.962440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 302
 
5.9%
파 264
 
5.2%
트 252
 
5.0%
지 251
 
4.9%
1 191
 
3.8%
하 190
 
3.7%
178
 
3.5%
차 172
 
3.4%
주 168
 
3.3%
) 106
 
2.1%
Other values (307) 3009
59.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4292
84.4%
Decimal Number 355
 
7.0%
Space Separator 178
 
3.5%
Close Punctuation 106
 
2.1%
Open Punctuation 106
 
2.1%
Uppercase Letter 30
 
0.6%
Other Punctuation 6
 
0.1%
Dash Punctuation 5
 
0.1%
Lowercase Letter 4
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 302
 
7.0%
파 264
 
6.2%
트 252
 
5.9%
지 251
 
5.8%
하 190
 
4.4%
차 172
 
4.0%
주 168
 
3.9%
동 105
 
2.4%
장 99
 
2.3%
층 87
 
2.0%
Other values (274) 2402
56.0%
Uppercase Letter
ValueCountFrequency (%)
K 6
20.0%
S 4
13.3%
C 4
13.3%
A 4
13.3%
B 3
10.0%
T 3
10.0%
G 2
 
6.7%
X 1
 
3.3%
L 1
 
3.3%
D 1
 
3.3%
Decimal Number
ValueCountFrequency (%)
1 191
53.8%
2 68
 
19.2%
0 32
 
9.0%
3 27
 
7.6%
5 13
 
3.7%
4 9
 
2.5%
6 7
 
2.0%
7 4
 
1.1%
9 2
 
0.6%
8 2
 
0.6%
Other Punctuation
ValueCountFrequency (%)
@ 3
50.0%
& 1
 
16.7%
. 1
 
16.7%
, 1
 
16.7%
Lowercase Letter
ValueCountFrequency (%)
e 2
50.0%
k 1
25.0%
s 1
25.0%
Space Separator
ValueCountFrequency (%)
178
100.0%
Close Punctuation
ValueCountFrequency (%)
) 106
100.0%
Open Punctuation
ValueCountFrequency (%)
( 106
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4293
84.5%
Common 756
 
14.9%
Latin 34
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 302
 
7.0%
파 264
 
6.1%
트 252
 
5.9%
지 251
 
5.8%
하 190
 
4.4%
차 172
 
4.0%
주 168
 
3.9%
동 105
 
2.4%
장 99
 
2.3%
층 87
 
2.0%
Other values (275) 2403
56.0%
Common
ValueCountFrequency (%)
1 191
25.3%
178
23.5%
) 106
14.0%
( 106
14.0%
2 68
 
9.0%
0 32
 
4.2%
3 27
 
3.6%
5 13
 
1.7%
4 9
 
1.2%
6 7
 
0.9%
Other values (8) 19
 
2.5%
Latin
ValueCountFrequency (%)
K 6
17.6%
S 4
11.8%
C 4
11.8%
A 4
11.8%
B 3
8.8%
T 3
8.8%
e 2
 
5.9%
G 2
 
5.9%
X 1
 
2.9%
L 1
 
2.9%
Other values (4) 4
11.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4292
84.4%
ASCII 790
 
15.5%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 302
 
7.0%
파 264
 
6.2%
트 252
 
5.9%
지 251
 
5.8%
하 190
 
4.4%
차 172
 
4.0%
주 168
 
3.9%
동 105
 
2.4%
장 99
 
2.3%
층 87
 
2.0%
Other values (274) 2402
56.0%
ASCII
ValueCountFrequency (%)
1 191
24.2%
178
22.5%
) 106
13.4%
( 106
13.4%
2 68
 
8.6%
0 32
 
4.1%
3 27
 
3.4%
5 13
 
1.6%
4 9
 
1.1%
6 7
 
0.9%
Other values (22) 53
 
6.7%
None
ValueCountFrequency (%)
㈜ 1
100.0%

도로명 주소
Text

Distinct580
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2023-12-23T07:49:40.216400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length35
Mean length25.403419
Min length15

Characters and Unicode

Total characters14861
Distinct characters279
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique575 ?
Unique (%)98.3%

Sample

1st row광주광역시 동구 무등로 417-9(산수동,동진맨션)
2nd row광주광역시 동구 중앙로 320(계림동)
3rd row광주광역시 동구 갈마로 46(산수동)
4th row광주광역시 동구 서남로1(서석동, 동구청)
5th row광주광역시 동구 의재로 149-7(운림동,라인2차A)
ValueCountFrequency (%)
광주광역시 587
22.9%
북구 147
 
5.7%
광산구 126
 
4.9%
남구 126
 
4.9%
서구 100
 
3.9%
동구 88
 
3.4%
지하 18
 
0.7%
상무대로 16
 
0.6%
7 14
 
0.5%
밤실로 14
 
0.5%
Other values (963) 1328
51.8%
2023-12-23T07:49:42.216750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1998
 
13.4%
광 1327
 
8.9%
동 634
 
4.3%
주 629
 
4.2%
시 603
 
4.1%
역 591
 
4.0%
구 590
 
4.0%
로 571
 
3.8%
1 485
 
3.3%
) 460
 
3.1%
Other values (269) 6973
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9525
64.1%
Decimal Number 2094
 
14.1%
Space Separator 1998
 
13.4%
Close Punctuation 460
 
3.1%
Open Punctuation 460
 
3.1%
Other Punctuation 241
 
1.6%
Dash Punctuation 67
 
0.5%
Uppercase Letter 14
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 1327
 
13.9%
동 634
 
6.7%
주 629
 
6.6%
시 603
 
6.3%
역 591
 
6.2%
구 590
 
6.2%
로 571
 
6.0%
산 274
 
2.9%
길 253
 
2.7%
번 232
 
2.4%
Other values (246) 3821
40.1%
Decimal Number
ValueCountFrequency (%)
1 485
23.2%
2 284
13.6%
3 212
10.1%
0 199
9.5%
7 187
 
8.9%
5 172
 
8.2%
4 159
 
7.6%
8 146
 
7.0%
6 145
 
6.9%
9 105
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
A 8
57.1%
C 2
 
14.3%
K 1
 
7.1%
T 1
 
7.1%
B 1
 
7.1%
N 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 240
99.6%
. 1
 
0.4%
Space Separator
ValueCountFrequency (%)
1998
100.0%
Close Punctuation
ValueCountFrequency (%)
) 460
100.0%
Open Punctuation
ValueCountFrequency (%)
( 460
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 67
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9525
64.1%
Common 5320
35.8%
Latin 16
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 1327
 
13.9%
동 634
 
6.7%
주 629
 
6.6%
시 603
 
6.3%
역 591
 
6.2%
구 590
 
6.2%
로 571
 
6.0%
산 274
 
2.9%
길 253
 
2.7%
번 232
 
2.4%
Other values (246) 3821
40.1%
Common
ValueCountFrequency (%)
1998
37.6%
1 485
 
9.1%
) 460
 
8.6%
( 460
 
8.6%
2 284
 
5.3%
, 240
 
4.5%
3 212
 
4.0%
0 199
 
3.7%
7 187
 
3.5%
5 172
 
3.2%
Other values (6) 623
 
11.7%
Latin
ValueCountFrequency (%)
A 8
50.0%
C 2
 
12.5%
e 2
 
12.5%
K 1
 
6.2%
T 1
 
6.2%
B 1
 
6.2%
N 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9525
64.1%
ASCII 5336
35.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1998
37.4%
1 485
 
9.1%
) 460
 
8.6%
( 460
 
8.6%
2 284
 
5.3%
, 240
 
4.5%
3 212
 
4.0%
0 199
 
3.7%
7 187
 
3.5%
5 172
 
3.2%
Other values (13) 639
 
12.0%
Hangul
ValueCountFrequency (%)
광 1327
 
13.9%
동 634
 
6.7%
주 629
 
6.6%
시 603
 
6.3%
역 591
 
6.2%
구 590
 
6.2%
로 571
 
6.0%
산 274
 
2.9%
길 253
 
2.7%
번 232
 
2.4%
Other values (246) 3821
40.1%

지번 주소
Text

Distinct558
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2023-12-23T07:49:43.512429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length28
Mean length20.663248
Min length14

Characters and Unicode

Total characters12088
Distinct characters206
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique546 ?
Unique (%)93.3%

Sample

1st row광주광역시 동구 산수동 463번지 6호
2nd row광주광역시 동구 계림동 85번지 24호
3rd row광주광역시 동구 산수동 682번지
4th row광주광역시 동구 서석동 31번지
5th row광주광역시 동구 운림동 654번지
ValueCountFrequency (%)
광주광역시 585
22.0%
북구 145
 
5.4%
남구 126
 
4.7%
광산구 126
 
4.7%
서구 100
 
3.8%
동구 88
 
3.3%
1호 82
 
3.1%
산수동 28
 
1.1%
주월동 26
 
1.0%
2호 26
 
1.0%
Other values (739) 1329
49.9%
2023-12-23T07:49:45.440463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2082
17.2%
광 1317
 
10.9%
동 701
 
5.8%
주 635
 
5.3%
시 598
 
4.9%
구 589
 
4.9%
역 585
 
4.8%
1 546
 
4.5%
지 348
 
2.9%
번 324
 
2.7%
Other values (196) 4363
36.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7534
62.3%
Decimal Number 2288
 
18.9%
Space Separator 2082
 
17.2%
Dash Punctuation 179
 
1.5%
Other Punctuation 3
 
< 0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 1317
17.5%
동 701
 
9.3%
주 635
 
8.4%
시 598
 
7.9%
구 589
 
7.8%
역 585
 
7.8%
지 348
 
4.6%
번 324
 
4.3%
산 247
 
3.3%
호 207
 
2.7%
Other values (181) 1983
26.3%
Decimal Number
ValueCountFrequency (%)
1 546
23.9%
2 256
11.2%
6 218
 
9.5%
8 195
 
8.5%
3 192
 
8.4%
5 191
 
8.3%
0 189
 
8.3%
4 174
 
7.6%
7 170
 
7.4%
9 157
 
6.9%
Uppercase Letter
ValueCountFrequency (%)
T 1
50.0%
K 1
50.0%
Space Separator
ValueCountFrequency (%)
2082
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 179
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7534
62.3%
Common 4552
37.7%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 1317
17.5%
동 701
 
9.3%
주 635
 
8.4%
시 598
 
7.9%
구 589
 
7.8%
역 585
 
7.8%
지 348
 
4.6%
번 324
 
4.3%
산 247
 
3.3%
호 207
 
2.7%
Other values (181) 1983
26.3%
Common
ValueCountFrequency (%)
2082
45.7%
1 546
 
12.0%
2 256
 
5.6%
6 218
 
4.8%
8 195
 
4.3%
3 192
 
4.2%
5 191
 
4.2%
0 189
 
4.2%
- 179
 
3.9%
4 174
 
3.8%
Other values (3) 330
 
7.2%
Latin
ValueCountFrequency (%)
T 1
50.0%
K 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7534
62.3%
ASCII 4554
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2082
45.7%
1 546
 
12.0%
2 256
 
5.6%
6 218
 
4.8%
8 195
 
4.3%
3 192
 
4.2%
5 191
 
4.2%
0 189
 
4.2%
- 179
 
3.9%
4 174
 
3.8%
Other values (5) 332
 
7.3%
Hangul
ValueCountFrequency (%)
광 1317
17.5%
동 701
 
9.3%
주 635
 
8.4%
시 598
 
7.9%
구 589
 
7.8%
역 585
 
7.8%
지 348
 
4.6%
번 324
 
4.3%
산 247
 
3.3%
호 207
 
2.7%
Other values (181) 1983
26.3%

확보면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct526
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4002.5214
Minimum60
Maximum30559
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2023-12-23T07:49:46.164562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile264
Q1840
median2386
Q35402
95-th percentile14409.4
Maximum30559
Range30499
Interquartile range (IQR)4562

Descriptive statistics

Standard deviation4777.7284
Coefficient of variation (CV)1.1936797
Kurtosis5.8017551
Mean4002.5214
Median Absolute Deviation (MAD)1725
Skewness2.2621412
Sum2341475
Variance22826688
MonotonicityNot monotonic
2023-12-23T07:49:46.948088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
661 6
 
1.0%
426 5
 
0.9%
264 4
 
0.7%
826 4
 
0.7%
331 4
 
0.7%
3000 3
 
0.5%
1322 3
 
0.5%
3100 2
 
0.3%
1937 2
 
0.3%
1578 2
 
0.3%
Other values (516) 550
94.0%
ValueCountFrequency (%)
60 1
0.2%
76 1
0.2%
83 1
0.2%
89 1
0.2%
113 1
0.2%
116 1
0.2%
122 1
0.2%
132 1
0.2%
139 2
0.3%
143 1
0.2%
ValueCountFrequency (%)
30559 1
0.2%
27258 1
0.2%
25263 1
0.2%
24664 1
0.2%
22799 1
0.2%
22130 1
0.2%
21970 1
0.2%
20581 1
0.2%
19894 1
0.2%
19782 1
0.2%

대피가능인원
Real number (ℝ)

HIGH CORRELATION 

Distinct526
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4851.0769
Minimum72
Maximum37040
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2023-12-23T07:49:47.639404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum72
5-th percentile320
Q11018
median2892
Q36547
95-th percentile17465.2
Maximum37040
Range36968
Interquartile range (IQR)5529

Descriptive statistics

Standard deviation5791.1778
Coefficient of variation (CV)1.1937922
Kurtosis5.8016879
Mean4851.0769
Median Absolute Deviation (MAD)2091
Skewness2.2621374
Sum2837880
Variance33537740
MonotonicityNot monotonic
2023-12-23T07:49:48.509977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
801 6
 
1.0%
516 5
 
0.9%
320 4
 
0.7%
1001 4
 
0.7%
401 4
 
0.7%
3636 3
 
0.5%
1602 3
 
0.5%
3757 2
 
0.3%
2347 2
 
0.3%
1912 2
 
0.3%
Other values (516) 550
94.0%
ValueCountFrequency (%)
72 1
0.2%
92 1
0.2%
100 1
0.2%
107 1
0.2%
136 1
0.2%
140 1
0.2%
147 1
0.2%
160 1
0.2%
168 2
0.3%
173 1
0.2%
ValueCountFrequency (%)
37040 1
0.2%
33040 1
0.2%
30621 1
0.2%
29895 1
0.2%
27635 1
0.2%
26824 1
0.2%
26630 1
0.2%
24946 1
0.2%
24113 1
0.2%
23978 1
0.2%

건축년도
Date

Distinct434
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
Minimum1909-10-01 00:00:00
Maximum2020-06-16 00:00:00
2023-12-23T07:49:49.367584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:49:50.216198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

시설지정연도
Date

Distinct195
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
Minimum1976-09-26 00:00:00
Maximum2022-12-28 00:00:00
2023-12-23T07:49:50.861617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:49:51.929035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-23T07:49:26.008188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:49:22.682130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:49:24.208555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:49:26.717697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:49:23.070085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:49:24.762188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:49:27.211635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:49:23.489612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:49:25.344068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-23T07:49:53.138858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번자치구행정동시설용도확보면적(제곱미터)대피가능인원
연번1.0000.8900.9940.3330.3470.347
자치구0.8901.0000.9870.3920.2780.278
행정동0.9940.9871.0000.7380.6600.660
시설용도0.3330.3920.7381.0000.1480.148
확보면적(제곱미터)0.3470.2780.6600.1481.0001.000
대피가능인원0.3470.2780.6600.1481.0001.000
2023-12-23T07:49:53.973051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자치구시설용도
자치구1.0000.205
시설용도0.2051.000
2023-12-23T07:49:54.982007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번확보면적(제곱미터)대피가능인원자치구시설용도
연번1.0000.1570.1570.7280.148
확보면적(제곱미터)0.1571.0001.0000.1440.063
대피가능인원0.1571.0001.0000.1440.063
자치구0.7280.1440.1441.0000.205
시설용도0.1480.0630.0630.2051.000

Missing values

2023-12-23T07:49:27.971222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-23T07:49:28.976668image/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

연번시도자치구행정동시설종류시설용도시설명도로명 주소지번 주소확보면적(제곱미터)대피가능인원건축년도시설지정연도
01광주동구산수1동공공용주거시설동진맨션(지하1층)광주광역시 동구 무등로 417-9(산수동,동진맨션)광주광역시 동구 산수동 463번지 6호3414131974-06-301976-09-26
12광주동구계림2동공공용교육시설계림초등학교(지하1층)광주광역시 동구 중앙로 320(계림동)광주광역시 동구 계림동 85번지 24호3884701981-01-011981-01-01
23광주동구산수2동공공용상업시설무들빌딩(지하1층)광주광역시 동구 갈마로 46(산수동)광주광역시 동구 산수동 682번지82810031994-08-251995-03-01
34광주동구서남동공공용관공서동구청(지하1층)광주광역시 동구 서남로1(서석동, 동구청)광주광역시 동구 서석동 31번지6948411996-10-301996-11-01
45광주동구학운동공공용주거시설라인2차A 202동(지하1층)광주광역시 동구 의재로 149-7(운림동,라인2차A)광주광역시 동구 운림동 654번지108013091992-01-211997-03-10
56광주동구학운동공공용주거시설아남아파트(지하1층)광주광역시 동구 의재로 23-8(학동,아남아파트)광주광역시 동구 학동 676번지 1호96011631994-02-121997-03-11
67광주동구학운동공공용주거시설무등스위트맨션(지하1층)광주광역시 동구 운림길 68(운림동,무등스위트맨션)광주광역시 동구 운림동 588번지112213601995-02-161998-03-10
78광주동구학운동공공용주거시설무등파크맨션(지하1층)광주광역시 동구 의재로 123(운림동,무등파크맨션)광주광역시 동구 운림동 628번지110313361994-02-281998-03-10
89광주동구학운동공공용주거시설학동 평화맨션광주광역시 동구 학소로 125(학동,평화맨션)광주광역시 동구 학동 768번지90710991995-06-281998-03-10
910광주동구산수1동공공용교육시설시립산수도서관(지하1층)광주광역시 동구 경양로 355(산수동, 시립산수도서관)광주광역시 동구 산수동 401번지 58호94711471997-10-131998-05-26
연번시도자치구행정동시설종류시설용도시설명도로명 주소지번 주소확보면적(제곱미터)대피가능인원건축년도시설지정연도
575576광주광산구신가동공공용주거시설중흥2차광주광역시 광산구 목련로382번길79(신가동)광주광역시 광산구 신가동 302번지 25호165320031993-12-202007-07-09
576577광주광산구신창동공공용주거시설신창호반5차 아파트광주광역시 광산구 왕버들로251번길 27(신창동)광주광역시 광산구 신창동 1111번지18765227452005-11-012008-12-12
577578광주광산구신창동공공용주거시설남양휴튼1차 아파트광주광역시 광산구 신창로131번길 10(신창동)광주광역시 광산구 신창동 1121번지11288136822007-05-012008-12-12
578579광주광산구신창동공공용주거시설남양휴튼2차 아파트광주광역시 광산구 신창로71번길 17(신창동)광주광역시 광산구 신창동 1272번지745490352007-05-012008-12-12
579580광주광산구신창동공공용주거시설신가부영 아파트광주광역시 광산구 수등로 287(신창동)광주광역시 광산구 신창동 1108번지 1호18000218182005-01-012009-09-01
580581광주북구신용동공공용주거시설호반베르디움 1단지광주광역시 북구 첨단연신로133번길 8(신용동,호반베르디움)광주광역시 북구 신용동 67524664298952014-02-172015-01-23
581582광주광산구평동공공용금융시설평동농협광주광역시 광산구 평동로800번길 16(옥동)광주광역시 광산구 도덕동 312번지 9호1982401991-06-011991-11-08
582583광주광산구임곡동공공용금융시설임곡농협광주광역시 광산구 고봉로 807(임곡동)광주광역시 광산구 고룡동 780번지3314011992-07-011992-09-30
583584광주광산구동곡동공공용금융시설동곡농협광주광역시 광산구 동곡로 161-21(하산동)광주광역시 광산구 하산동 139번지 33호1131361991-11-011991-11-08
584585광주광산구삼도동공공용금융시설삼도농협광주광역시 광산구 삼도로 355(도덕동)광주광역시 광산구 옥동 218번지 1호1221471992-01-011992-10-10