Overview

Dataset statistics

Number of variables11
Number of observations158
Missing cells158
Missing cells (%)9.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.5 KiB
Average record size in memory93.8 B

Variable types

Text3
Unsupported1
Numeric4
Boolean1
Categorical1
DateTime1

Dataset

Description서울특별시 송파구_민방위대피시설에 대한 데이터로 민방위대피시설명, 민방위대피시설구분, 소재지도로명주소, 소재지지번주소, 위도, 경도, 민방위대피시설면적, 대피가능인원수 등에 항목으로 제공합니다.
Author서울특별시 송파구
URLhttps://www.data.go.kr/data/15062878/fileData.do

Alerts

개방여부 has constant value ""Constant
관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
민방위대피시설면적 is highly overall correlated with 대피가능인원수High correlation
대피가능인원수 is highly overall correlated with 민방위대피시설면적High correlation
소재지지번주소 has 158 (100.0%) missing valuesMissing
소재지도로명주소 has unique valuesUnique
소재지지번주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 20:10:52.352839
Analysis finished2023-12-12 20:10:55.298481
Duration2.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

민방위대피시설명
Text

Distinct156
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T05:10:55.484328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length9.6392405
Min length3

Characters and Unicode

Total characters1523
Distinct characters207
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique154 ?
Unique (%)97.5%

Sample

1st row2호선 종합운동장역
2nd row2호선 잠실새내역
3rd row2호선 잠실역
4th row잠실성당 지하강의실
5th row잠실종합상가
ValueCountFrequency (%)
지하주차장 46
 
16.2%
지하 22
 
7.7%
8호선 5
 
1.8%
전동 5
 
1.8%
현대아파트 4
 
1.4%
올림픽 3
 
1.1%
아파트 3
 
1.1%
2호선 3
 
1.1%
잠실역 3
 
1.1%
위너스 2
 
0.7%
Other values (180) 188
66.2%
2023-12-13T05:10:55.855153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
126
 
8.3%
지 89
 
5.8%
파 78
 
5.1%
아 75
 
4.9%
하 70
 
4.6%
차 65
 
4.3%
트 63
 
4.1%
주 62
 
4.1%
장 56
 
3.7%
동 35
 
2.3%
Other values (197) 804
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1336
87.7%
Space Separator 126
 
8.3%
Decimal Number 55
 
3.6%
Uppercase Letter 5
 
0.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 89
 
6.7%
파 78
 
5.8%
아 75
 
5.6%
하 70
 
5.2%
차 65
 
4.9%
트 63
 
4.7%
주 62
 
4.6%
장 56
 
4.2%
동 35
 
2.6%
역 23
 
1.7%
Other values (181) 720
53.9%
Decimal Number
ValueCountFrequency (%)
2 21
38.2%
1 18
32.7%
8 5
 
9.1%
5 4
 
7.3%
4 3
 
5.5%
9 1
 
1.8%
0 1
 
1.8%
3 1
 
1.8%
6 1
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
I 1
20.0%
D 1
20.0%
C 1
20.0%
B 1
20.0%
M 1
20.0%
Space Separator
ValueCountFrequency (%)
126
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1336
87.7%
Common 182
 
12.0%
Latin 5
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 89
 
6.7%
파 78
 
5.8%
아 75
 
5.6%
하 70
 
5.2%
차 65
 
4.9%
트 63
 
4.7%
주 62
 
4.6%
장 56
 
4.2%
동 35
 
2.6%
역 23
 
1.7%
Other values (181) 720
53.9%
Common
ValueCountFrequency (%)
126
69.2%
2 21
 
11.5%
1 18
 
9.9%
8 5
 
2.7%
5 4
 
2.2%
4 3
 
1.6%
9 1
 
0.5%
, 1
 
0.5%
0 1
 
0.5%
3 1
 
0.5%
Latin
ValueCountFrequency (%)
I 1
20.0%
D 1
20.0%
C 1
20.0%
B 1
20.0%
M 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1336
87.7%
ASCII 187
 
12.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
126
67.4%
2 21
 
11.2%
1 18
 
9.6%
8 5
 
2.7%
5 4
 
2.1%
4 3
 
1.6%
I 1
 
0.5%
D 1
 
0.5%
9 1
 
0.5%
, 1
 
0.5%
Other values (6) 6
 
3.2%
Hangul
ValueCountFrequency (%)
지 89
 
6.7%
파 78
 
5.8%
아 75
 
5.6%
하 70
 
5.2%
차 65
 
4.9%
트 63
 
4.7%
주 62
 
4.6%
장 56
 
4.2%
동 35
 
2.6%
역 23
 
1.7%
Other values (181) 720
53.9%

민방위대피시설구분
Text

Distinct156
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T05:10:56.091702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length9.6392405
Min length3

Characters and Unicode

Total characters1523
Distinct characters207
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique154 ?
Unique (%)97.5%

Sample

1st row2호선 종합운동장역
2nd row2호선 잠실새내역
3rd row2호선 잠실역
4th row잠실성당 지하강의실
5th row잠실종합상가
ValueCountFrequency (%)
지하주차장 46
 
16.2%
지하 22
 
7.7%
8호선 5
 
1.8%
전동 5
 
1.8%
현대아파트 4
 
1.4%
올림픽 3
 
1.1%
아파트 3
 
1.1%
2호선 3
 
1.1%
잠실역 3
 
1.1%
위너스 2
 
0.7%
Other values (180) 188
66.2%
2023-12-13T05:10:56.464042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
126
 
8.3%
지 89
 
5.8%
파 78
 
5.1%
아 75
 
4.9%
하 70
 
4.6%
차 65
 
4.3%
트 63
 
4.1%
주 62
 
4.1%
장 56
 
3.7%
동 35
 
2.3%
Other values (197) 804
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1336
87.7%
Space Separator 126
 
8.3%
Decimal Number 55
 
3.6%
Uppercase Letter 5
 
0.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 89
 
6.7%
파 78
 
5.8%
아 75
 
5.6%
하 70
 
5.2%
차 65
 
4.9%
트 63
 
4.7%
주 62
 
4.6%
장 56
 
4.2%
동 35
 
2.6%
역 23
 
1.7%
Other values (181) 720
53.9%
Decimal Number
ValueCountFrequency (%)
2 21
38.2%
1 18
32.7%
8 5
 
9.1%
5 4
 
7.3%
4 3
 
5.5%
9 1
 
1.8%
0 1
 
1.8%
3 1
 
1.8%
6 1
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
I 1
20.0%
D 1
20.0%
C 1
20.0%
B 1
20.0%
M 1
20.0%
Space Separator
ValueCountFrequency (%)
126
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1336
87.7%
Common 182
 
12.0%
Latin 5
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 89
 
6.7%
파 78
 
5.8%
아 75
 
5.6%
하 70
 
5.2%
차 65
 
4.9%
트 63
 
4.7%
주 62
 
4.6%
장 56
 
4.2%
동 35
 
2.6%
역 23
 
1.7%
Other values (181) 720
53.9%
Common
ValueCountFrequency (%)
126
69.2%
2 21
 
11.5%
1 18
 
9.9%
8 5
 
2.7%
5 4
 
2.2%
4 3
 
1.6%
9 1
 
0.5%
, 1
 
0.5%
0 1
 
0.5%
3 1
 
0.5%
Latin
ValueCountFrequency (%)
I 1
20.0%
D 1
20.0%
C 1
20.0%
B 1
20.0%
M 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1336
87.7%
ASCII 187
 
12.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
126
67.4%
2 21
 
11.2%
1 18
 
9.6%
8 5
 
2.7%
5 4
 
2.1%
4 3
 
1.6%
I 1
 
0.5%
D 1
 
0.5%
9 1
 
0.5%
, 1
 
0.5%
Other values (6) 6
 
3.2%
Hangul
ValueCountFrequency (%)
지 89
 
6.7%
파 78
 
5.8%
아 75
 
5.6%
하 70
 
5.2%
차 65
 
4.9%
트 63
 
4.7%
주 62
 
4.6%
장 56
 
4.2%
동 35
 
2.6%
역 23
 
1.7%
Other values (181) 720
53.9%

소재지도로명주소
Text

UNIQUE 

Distinct158
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T05:10:56.701435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length39
Mean length32.373418
Min length23

Characters and Unicode

Total characters5115
Distinct characters212
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique158 ?
Unique (%)100.0%

Sample

1st row서울특별시 송파구 올림픽로 지하 23 (잠실동, 종합운동장역)
2nd row서울특별시 송파구 올림픽로 지하 140 (잠실동, 신천역)
3rd row서울특별시 송파구 올림픽로 지하 265 (잠실동, 잠실역2호선)
4th row서울특별시 송파구 올림픽로12길 9 (잠실동, 잠실천주교회)
5th row서울특별시 송파구 백제고분로 157 (잠실동, 반도가구전시장)
ValueCountFrequency (%)
서울특별시 158
 
16.4%
송파구 157
 
16.3%
지하 23
 
2.4%
잠실동 23
 
2.4%
올림픽로 19
 
2.0%
가락동 19
 
2.0%
백제고분로 17
 
1.8%
문정동 16
 
1.7%
방이동 16
 
1.7%
마천동 14
 
1.5%
Other values (345) 501
52.0%
2023-12-13T05:10:57.070934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
805
 
15.7%
파 244
 
4.8%
송 201
 
3.9%
동 191
 
3.7%
서 165
 
3.2%
시 165
 
3.2%
구 163
 
3.2%
울 163
 
3.2%
로 158
 
3.1%
( 158
 
3.1%
Other values (202) 2702
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3320
64.9%
Space Separator 805
 
15.7%
Decimal Number 521
 
10.2%
Open Punctuation 158
 
3.1%
Close Punctuation 158
 
3.1%
Other Punctuation 141
 
2.8%
Uppercase Letter 10
 
0.2%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 244
 
7.3%
송 201
 
6.1%
동 191
 
5.8%
서 165
 
5.0%
시 165
 
5.0%
구 163
 
4.9%
울 163
 
4.9%
로 158
 
4.8%
특 158
 
4.8%
별 158
 
4.8%
Other values (177) 1554
46.8%
Decimal Number
ValueCountFrequency (%)
2 100
19.2%
1 97
18.6%
3 80
15.4%
5 49
9.4%
4 44
8.4%
6 39
 
7.5%
8 36
 
6.9%
9 29
 
5.6%
0 24
 
4.6%
7 23
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
I 1
10.0%
R 1
10.0%
E 1
10.0%
W 1
10.0%
O 1
10.0%
T 1
10.0%
D 1
10.0%
C 1
10.0%
B 1
10.0%
M 1
10.0%
Space Separator
ValueCountFrequency (%)
805
100.0%
Open Punctuation
ValueCountFrequency (%)
( 158
100.0%
Close Punctuation
ValueCountFrequency (%)
) 158
100.0%
Other Punctuation
ValueCountFrequency (%)
, 141
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3320
64.9%
Common 1785
34.9%
Latin 10
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 244
 
7.3%
송 201
 
6.1%
동 191
 
5.8%
서 165
 
5.0%
시 165
 
5.0%
구 163
 
4.9%
울 163
 
4.9%
로 158
 
4.8%
특 158
 
4.8%
별 158
 
4.8%
Other values (177) 1554
46.8%
Common
ValueCountFrequency (%)
805
45.1%
( 158
 
8.9%
) 158
 
8.9%
, 141
 
7.9%
2 100
 
5.6%
1 97
 
5.4%
3 80
 
4.5%
5 49
 
2.7%
4 44
 
2.5%
6 39
 
2.2%
Other values (5) 114
 
6.4%
Latin
ValueCountFrequency (%)
I 1
10.0%
R 1
10.0%
E 1
10.0%
W 1
10.0%
O 1
10.0%
T 1
10.0%
D 1
10.0%
C 1
10.0%
B 1
10.0%
M 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3320
64.9%
ASCII 1795
35.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
805
44.8%
( 158
 
8.8%
) 158
 
8.8%
, 141
 
7.9%
2 100
 
5.6%
1 97
 
5.4%
3 80
 
4.5%
5 49
 
2.7%
4 44
 
2.5%
6 39
 
2.2%
Other values (15) 124
 
6.9%
Hangul
ValueCountFrequency (%)
파 244
 
7.3%
송 201
 
6.1%
동 191
 
5.8%
서 165
 
5.0%
시 165
 
5.0%
구 163
 
4.9%
울 163
 
4.9%
로 158
 
4.8%
특 158
 
4.8%
별 158
 
4.8%
Other values (177) 1554
46.8%

소재지지번주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing158
Missing (%)100.0%
Memory size1.5 KiB

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct157
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.50271
Minimum37.476867
Maximum37.539736
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-13T05:10:57.206084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.476867
5-th percentile37.483383
Q137.494714
median37.502578
Q337.510975
95-th percentile37.518184
Maximum37.539736
Range0.06286887
Interquartile range (IQR)0.01626101

Descriptive statistics

Standard deviation0.012264043
Coefficient of variation (CV)0.00032701751
Kurtosis0.75815809
Mean37.50271
Median Absolute Deviation (MAD)0.00806735
Skewness0.469077
Sum5925.4281
Variance0.00015040674
MonotonicityNot monotonic
2023-12-13T05:10:57.331126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.51497807 2
 
1.3%
37.51096837 1
 
0.6%
37.50639584 1
 
0.6%
37.50049066 1
 
0.6%
37.51762309 1
 
0.6%
37.51476216 1
 
0.6%
37.4986437 1
 
0.6%
37.50002356 1
 
0.6%
37.50500237 1
 
0.6%
37.5103443 1
 
0.6%
Other values (147) 147
93.0%
ValueCountFrequency (%)
37.47686666 1
0.6%
37.47761304 1
0.6%
37.47811966 1
0.6%
37.4796693 1
0.6%
37.48020939 1
0.6%
37.48116665 1
0.6%
37.48135315 1
0.6%
37.48275686 1
0.6%
37.48349301 1
0.6%
37.48418716 1
0.6%
ValueCountFrequency (%)
37.53973553 1
0.6%
37.53857988 1
0.6%
37.538242 1
0.6%
37.53750369 1
0.6%
37.53704917 1
0.6%
37.52875526 1
0.6%
37.5251582 1
0.6%
37.52136011 1
0.6%
37.51762309 1
0.6%
37.51677475 1
0.6%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct157
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.11861
Minimum127.07203
Maximum127.15816
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-13T05:10:57.475819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.07203
5-th percentile127.08108
Q1127.10503
median127.11996
Q3127.13471
95-th percentile127.15208
Maximum127.15816
Range0.0861359
Interquartile range (IQR)0.029673625

Descriptive statistics

Standard deviation0.02133117
Coefficient of variation (CV)0.00016780525
Kurtosis-0.7335396
Mean127.11861
Median Absolute Deviation (MAD)0.01494
Skewness-0.2127308
Sum20084.741
Variance0.00045501883
MonotonicityNot monotonic
2023-12-13T05:10:57.616062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1042171 2
 
1.3%
127.0733561 1
 
0.6%
127.1273633 1
 
0.6%
127.1354551 1
 
0.6%
127.1124284 1
 
0.6%
127.1191204 1
 
0.6%
127.154464 1
 
0.6%
127.1520603 1
 
0.6%
127.1079897 1
 
0.6%
127.1071378 1
 
0.6%
Other values (147) 147
93.0%
ValueCountFrequency (%)
127.072028 1
0.6%
127.0733561 1
0.6%
127.074779 1
0.6%
127.078129 1
0.6%
127.0788848 1
0.6%
127.0789479 1
0.6%
127.0791552 1
0.6%
127.0802853 1
0.6%
127.0812153 1
0.6%
127.0819617 1
0.6%
ValueCountFrequency (%)
127.1581639 1
0.6%
127.1581012 1
0.6%
127.154464 1
0.6%
127.1536324 1
0.6%
127.1533703 1
0.6%
127.1524982 1
0.6%
127.1523208 1
0.6%
127.1521794 1
0.6%
127.1520603 1
0.6%
127.1518875 1
0.6%

민방위대피시설면적
Real number (ℝ)

HIGH CORRELATION 

Distinct147
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8635.7215
Minimum150
Maximum507732
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-13T05:10:57.764996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum150
5-th percentile262.5
Q11138
median3076.5
Q37556.75
95-th percentile21951.2
Maximum507732
Range507582
Interquartile range (IQR)6418.75

Descriptive statistics

Standard deviation40587.558
Coefficient of variation (CV)4.6999614
Kurtosis148.26152
Mean8635.7215
Median Absolute Deviation (MAD)2466.5
Skewness12.004704
Sum1364444
Variance1.6473499 × 109
MonotonicityNot monotonic
2023-12-13T05:10:57.886553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2970 3
 
1.9%
3520 2
 
1.3%
8625 2
 
1.3%
660 2
 
1.3%
2343 2
 
1.3%
990 2
 
1.3%
1980 2
 
1.3%
264 2
 
1.3%
7920 2
 
1.3%
4752 2
 
1.3%
Other values (137) 137
86.7%
ValueCountFrequency (%)
150 1
0.6%
165 1
0.6%
184 1
0.6%
196 1
0.6%
198 1
0.6%
211 1
0.6%
231 1
0.6%
254 1
0.6%
264 2
1.3%
315 1
0.6%
ValueCountFrequency (%)
507732 1
0.6%
48576 1
0.6%
37700 1
0.6%
37360 1
0.6%
27181 1
0.6%
25687 1
0.6%
22485 1
0.6%
22026 1
0.6%
21938 1
0.6%
18388 1
0.6%

대피가능인원수
Real number (ℝ)

HIGH CORRELATION 

Distinct147
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10466.665
Minimum181
Maximum615432
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-13T05:10:58.006294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum181
5-th percentile318.05
Q11379
median3728.5
Q39159
95-th percentile26607.05
Maximum615432
Range615251
Interquartile range (IQR)7780

Descriptive statistics

Standard deviation49196.505
Coefficient of variation (CV)4.700304
Kurtosis148.26821
Mean10466.665
Median Absolute Deviation (MAD)2990
Skewness12.005076
Sum1653733
Variance2.4202961 × 109
MonotonicityNot monotonic
2023-12-13T05:10:58.154033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3600 3
 
1.9%
4266 2
 
1.3%
10454 2
 
1.3%
800 2
 
1.3%
2840 2
 
1.3%
1200 2
 
1.3%
2400 2
 
1.3%
320 2
 
1.3%
9600 2
 
1.3%
5760 2
 
1.3%
Other values (137) 137
86.7%
ValueCountFrequency (%)
181 1
0.6%
200 1
0.6%
223 1
0.6%
237 1
0.6%
240 1
0.6%
255 1
0.6%
280 1
0.6%
307 1
0.6%
320 2
1.3%
381 1
0.6%
ValueCountFrequency (%)
615432 1
0.6%
58800 1
0.6%
45696 1
0.6%
45284 1
0.6%
32946 1
0.6%
31135 1
0.6%
27254 1
0.6%
26698 1
0.6%
26591 1
0.6%
22288 1
0.6%

개방여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size290.0 B
True
158 
ValueCountFrequency (%)
True 158
100.0%
2023-12-13T05:10:58.251649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
서울특별시 송파구청
158 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울특별시 송파구청
2nd row서울특별시 송파구청
3rd row서울특별시 송파구청
4th row서울특별시 송파구청
5th row서울특별시 송파구청

Common Values

ValueCountFrequency (%)
서울특별시 송파구청 158
100.0%

Length

2023-12-13T05:10:58.334839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:10:58.415777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 158
50.0%
송파구청 158
50.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2021-09-14 00:00:00
Maximum2021-09-14 00:00:00
2023-12-13T05:10:58.489230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:10:58.585420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T05:10:54.543628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:10:52.897048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:10:53.344068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:10:54.105258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:10:54.652394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:10:53.023041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:10:53.478835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:10:54.210898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:10:54.751532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:10:53.122940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:10:53.582267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:10:54.322606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:10:54.860182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:10:53.251736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:10:53.681657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:10:54.425272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:10:58.646896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도민방위대피시설면적대피가능인원수
위도1.0000.7690.0000.000
경도0.7691.0000.0000.000
민방위대피시설면적0.0000.0001.0000.698
대피가능인원수0.0000.0000.6981.000
2023-12-13T05:10:58.727528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도민방위대피시설면적대피가능인원수
위도1.000-0.5760.1000.100
경도-0.5761.000-0.143-0.143
민방위대피시설면적0.100-0.1431.0001.000
대피가능인원수0.100-0.1431.0001.000

Missing values

2023-12-13T05:10:55.020030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:10:55.216373image/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

민방위대피시설명민방위대피시설구분소재지도로명주소소재지지번주소위도경도민방위대피시설면적대피가능인원수개방여부관리기관명데이터기준일자
02호선 종합운동장역2호선 종합운동장역서울특별시 송파구 올림픽로 지하 23 (잠실동, 종합운동장역)<NA>37.510968127.0733561838822288Y서울특별시 송파구청2021-09-14
12호선 잠실새내역2호선 잠실새내역서울특별시 송파구 올림픽로 지하 140 (잠실동, 신천역)<NA>37.511569127.08637382279972Y서울특별시 송파구청2021-09-14
22호선 잠실역2호선 잠실역서울특별시 송파구 올림픽로 지하 265 (잠실동, 잠실역2호선)<NA>37.51332127.10031547525760Y서울특별시 송파구청2021-09-14
3잠실성당 지하강의실잠실성당 지하강의실서울특별시 송파구 올림픽로12길 9 (잠실동, 잠실천주교회)<NA>37.510382127.0832418741059Y서울특별시 송파구청2021-09-14
4잠실종합상가잠실종합상가서울특별시 송파구 백제고분로 157 (잠실동, 반도가구전시장)<NA>37.505782127.08431715181840Y서울특별시 송파구청2021-09-14
5교통회관교통회관서울특별시 송파구 올림픽로 319 (신천동, 새마을 교통회관)<NA>37.515651127.10546723402836Y서울특별시 송파구청2021-09-14
6잠실우성4차아파트 전동 지하잠실우성4차아파트 전동 지하서울특별시 송파구 백제고분로18길 30 (잠실동, 우성아파트)<NA>37.502691127.08218379209600Y서울특별시 송파구청2021-09-14
7한양2차아파트 지하한양2차아파트 지하서울특별시 송파구 가락로 192 (송파동, 2차한양아파트)<NA>37.504725127.115947825010000Y서울특별시 송파구청2021-09-14
8문정1동주민센터문정1동주민센터서울특별시 송파구 동남로 116 (문정동, 문정1동주민센터)<NA>37.490073127.124183165200Y서울특별시 송파구청2021-09-14
9서울시농수산식품공사 지하주차장서울시농수산식품공사 지하주차장서울특별시 송파구 양재대로 932 (가락동, 가락농수산물시장)<NA>37.496467127.11345527853375Y서울특별시 송파구청2021-09-14
민방위대피시설명민방위대피시설구분소재지도로명주소소재지지번주소위도경도민방위대피시설면적대피가능인원수개방여부관리기관명데이터기준일자
148위례송파푸르지오 지하주차장위례송파푸르지오 지하주차장서울특별시 송파구 위례광장로 185 (장지동, 위례신도시송파푸르지오 지하주차장)<NA>37.480209127.1397621742635Y서울특별시 송파구청2021-09-14
149위례22단지 지하주차장위례22단지 지하주차장서울특별시 송파구 위례광장로 163 (장지동, 위례22단지)<NA>37.479669127.13932545105466Y서울특별시 송파구청2021-09-14
150위례24단지 지하주차장위례24단지 지하주차장서울특별시 송파구 위례광장로 121 (장지동, 위례24단지)<NA>37.476867127.13821671688688Y서울특별시 송파구청2021-09-14
151서울동부지방법원서울동부지방법원서울특별시 송파구 법원로 101, 서울동부지방법원 (문정동)<NA>37.483493127.11975416512001Y서울특별시 송파구청2021-09-14
152위례동주민센터 지하주차장위례동주민센터 지하주차장서울특별시 송파구 위례광장로 210 (장지동, 위례동주민센터송파위례도서관 지하주차장)<NA>37.481167127.143936394477Y서울특별시 송파구청2021-09-14
1539호선 삼전역9호선 삼전역서울특별시 송파구 백제고분로 지하 189 (잠실동, 삼전역)<NA>37.504323127.088084864410477Y서울특별시 송파구청2021-09-14
154석촌고분역석촌고분역서울특별시 송파구 백제고분로 지하 274 (삼전동, 석촌고분역)<NA>37.502464127.09688568418292Y서울특별시 송파구청2021-09-14
155한성백제역한성백제역서울특별시 송파구 위례성대로 지하 29 (방이동, 한성백제역)<NA>37.51634127.116114896910871Y서울특별시 송파구청2021-09-14
156송파나루역송파나루역서울특별시 송파구 백제고분로 지하 446 (방이동, 송파나루역)<NA>37.51035127.11223278339494Y서울특별시 송파구청2021-09-14
157헬리오시티 지하주차장헬리오시티 지하주차장서울특별시 송파구 송파대로 345, 103동 (가락동, 헬리오시티)<NA>37.497612127.102533507732615432Y서울특별시 송파구청2021-09-14