Overview

Dataset statistics

Number of variables20
Number of observations10000
Missing cells34176
Missing cells (%)17.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 MiB
Average record size in memory176.0 B

Variable types

Text5
Categorical5
Numeric4
Boolean2
Unsupported3
DateTime1

Dataset

Description파일 다운로드
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-21306/S/1/datasetView.do

Alerts

시도명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
시군구명 is highly overall correlated with 시군구코드 and 2 other fieldsHigh correlation
관할소방서명 is highly overall correlated with 시군구코드 and 2 other fieldsHigh correlation
관할소방서전화번호 is highly overall correlated with 시군구코드 and 2 other fieldsHigh correlation
시군구코드 is highly overall correlated with 위도 and 3 other fieldsHigh correlation
위도 is highly overall correlated with 시군구코드High correlation
시설유형코드 is highly imbalanced (59.4%)Imbalance
보호틀유무 is highly imbalanced (98.2%)Imbalance
사용가능여부 is highly imbalanced (84.8%)Imbalance
상세위치 has 4149 (41.5%) missing valuesMissing
배관깊이 has 10000 (100.0%) missing valuesMissing
출수압력 has 10000 (100.0%) missing valuesMissing
배관지름 has 10000 (100.0%) missing valuesMissing
배관깊이 is an unsupported type, check if it needs cleaning or further analysisUnsupported
출수압력 is an unsupported type, check if it needs cleaning or further analysisUnsupported
배관지름 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-11 06:55:31.647421
Analysis finished2023-12-11 06:55:37.007272
Duration5.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Unnamed: 0
Text

Distinct9379
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T15:55:37.369394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length6.4889
Min length1

Characters and Unicode

Total characters64889
Distinct characters55
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

Unique8846 ?
Unique (%)88.5%

Sample

1st row1106
2nd row서울서초-20119
3rd row강서-080005
4th row연-417
5th row763026
ValueCountFrequency (%)
06월 10
 
0.1%
09월 9
 
0.1%
07월 9
 
0.1%
12월 8
 
0.1%
10월 7
 
0.1%
08월 7
 
0.1%
11월 6
 
0.1%
02월 6
 
0.1%
25일 5
 
< 0.1%
13일 5
 
< 0.1%
Other values (9333) 10003
99.3%
2023-12-11T15:55:38.230057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12120
18.7%
1 6436
9.9%
2 5664
8.7%
- 5067
 
7.8%
3 4985
 
7.7%
4 3901
 
6.0%
6 3548
 
5.5%
5 3514
 
5.4%
7 3302
 
5.1%
8 2431
 
3.7%
Other values (45) 13921
21.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 48283
74.4%
Other Letter 11455
 
17.7%
Dash Punctuation 5067
 
7.8%
Space Separator 75
 
0.1%
Open Punctuation 4
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 2083
18.2%
강 1277
11.1%
울 832
 
7.3%
남 754
 
6.6%
초 730
 
6.4%
중 623
 
5.4%
송 589
 
5.1%
파 589
 
5.1%
부 521
 
4.5%
마 479
 
4.2%
Other values (30) 2978
26.0%
Decimal Number
ValueCountFrequency (%)
0 12120
25.1%
1 6436
13.3%
2 5664
11.7%
3 4985
10.3%
4 3901
 
8.1%
6 3548
 
7.3%
5 3514
 
7.3%
7 3302
 
6.8%
8 2431
 
5.0%
9 2382
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 5067
100.0%
Space Separator
ValueCountFrequency (%)
75
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 53434
82.3%
Hangul 11455
 
17.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 2083
18.2%
강 1277
11.1%
울 832
 
7.3%
남 754
 
6.6%
초 730
 
6.4%
중 623
 
5.4%
송 589
 
5.1%
파 589
 
5.1%
부 521
 
4.5%
마 479
 
4.2%
Other values (30) 2978
26.0%
Common
ValueCountFrequency (%)
0 12120
22.7%
1 6436
12.0%
2 5664
10.6%
- 5067
9.5%
3 4985
9.3%
4 3901
 
7.3%
6 3548
 
6.6%
5 3514
 
6.6%
7 3302
 
6.2%
8 2431
 
4.5%
Other values (5) 2466
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 53434
82.3%
Hangul 11455
 
17.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12120
22.7%
1 6436
12.0%
2 5664
10.6%
- 5067
9.5%
3 4985
9.3%
4 3901
 
7.3%
6 3548
 
6.6%
5 3514
 
6.6%
7 3302
 
6.2%
8 2431
 
4.5%
Other values (5) 2466
 
4.6%
Hangul
ValueCountFrequency (%)
서 2083
18.2%
강 1277
11.1%
울 832
 
7.3%
남 754
 
6.6%
초 730
 
6.4%
중 623
 
5.4%
송 589
 
5.1%
파 589
 
5.1%
부 521
 
4.5%
마 479
 
4.2%
Other values (30) 2978
26.0%

시설유형코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
6912 
1
3025 
4
 
47
3
 
13
5
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row1

Common Values

ValueCountFrequency (%)
2 6912
69.1%
1 3025
30.2%
4 47
 
0.5%
3 13
 
0.1%
5 3
 
< 0.1%

Length

2023-12-11T15:55:38.410433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T15:55:38.516650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 6912
69.1%
1 3025
30.2%
4 47
 
0.5%
3 13
 
0.1%
5 3
 
< 0.1%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
서울특별시
10000 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시 10000
100.0%

Length

2023-12-11T15:55:38.664288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T15:55:38.755884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 10000
100.0%

시군구명
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
강남구
754 
서초구
730 
영등포구
698 
종로구
 
591
송파구
 
589
Other values (16)
6638 

Length

Max length4
Median length3
Mean length3.0584
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row용산구
2nd row서초구
3rd row강서구
4th row종로구
5th row영등포구

Common Values

ValueCountFrequency (%)
강남구 754
 
7.5%
서초구 730
 
7.3%
영등포구 698
 
7.0%
종로구 591
 
5.9%
송파구 589
 
5.9%
성북구 561
 
5.6%
관악구 543
 
5.4%
용산구 538
 
5.4%
강서구 521
 
5.2%
중구 521
 
5.2%
Other values (11) 3954
39.5%

Length

2023-12-11T15:55:38.859762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
강남구 754
 
7.5%
서초구 730
 
7.3%
영등포구 698
 
7.0%
종로구 591
 
5.9%
송파구 589
 
5.9%
성북구 561
 
5.6%
관악구 543
 
5.4%
용산구 538
 
5.4%
강서구 521
 
5.2%
중구 521
 
5.2%
Other values (11) 3954
39.5%

시군구코드
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11440.499
Minimum11110
Maximum11740
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T15:55:38.988219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11110
5-th percentile11110
Q111260
median11470
Q311650
95-th percentile11710
Maximum11740
Range630
Interquartile range (IQR)390

Descriptive statistics

Standard deviation202.54867
Coefficient of variation (CV)0.017704531
Kurtosis-1.3306288
Mean11440.499
Median Absolute Deviation (MAD)180
Skewness-0.14753507
Sum1.14405 × 108
Variance41025.966
MonotonicityNot monotonic
2023-12-11T15:55:39.128103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
11680 754
 
7.5%
11650 730
 
7.3%
11560 698
 
7.0%
11110 591
 
5.9%
11710 589
 
5.9%
11290 561
 
5.6%
11620 543
 
5.4%
11170 538
 
5.4%
11500 521
 
5.2%
11140 521
 
5.2%
Other values (10) 3954
39.5%
ValueCountFrequency (%)
11110 591
5.9%
11140 521
5.2%
11170 538
5.4%
11215 341
3.4%
11230 504
5.0%
11260 102
 
1.0%
11290 561
5.6%
11320 334
3.3%
11350 495
5.0%
11380 398
4.0%
ValueCountFrequency (%)
11740 473
4.7%
11710 589
5.9%
11680 754
7.5%
11650 730
7.3%
11620 543
5.4%
11560 698
7.0%
11530 373
3.7%
11500 521
5.2%
11470 455
4.5%
11440 479
4.8%

소재지도로명주소
Text

Distinct9821
Distinct (%)98.4%
Missing22
Missing (%)0.2%
Memory size156.2 KiB
2023-12-11T15:55:39.613071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length41
Mean length22.744338
Min length6

Characters and Unicode

Total characters226943
Distinct characters725
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9701 ?
Unique (%)97.2%

Sample

1st row서울특별시 용산구 원효로81길 8
2nd row서울특별시 서초구 효령로12길 14-12 방배아트빌
3rd row서울특별시 강서구 곰달래로19가길 16-21 김재욱 가
4th row서울특별시 종로구 대학로14길 34
5th row서울시 영등포구 선유서로104-0
ValueCountFrequency (%)
서울특별시 9159
 
21.0%
강남구 756
 
1.7%
서초구 718
 
1.6%
서울시 698
 
1.6%
영등포구 698
 
1.6%
송파구 588
 
1.4%
종로구 588
 
1.4%
성북구 561
 
1.3%
관악구 543
 
1.2%
용산구 538
 
1.2%
Other values (10894) 28694
65.9%
2023-12-11T15:55:40.221105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44068
19.4%
서 11710
 
5.2%
구 10644
 
4.7%
로 10504
 
4.6%
시 10029
 
4.4%
울 9967
 
4.4%
별 9173
 
4.0%
특 9166
 
4.0%
1 8248
 
3.6%
길 6784
 
3.0%
Other values (715) 96650
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 141436
62.3%
Space Separator 44068
 
19.4%
Decimal Number 37914
 
16.7%
Dash Punctuation 2925
 
1.3%
Uppercase Letter 348
 
0.2%
Lowercase Letter 105
 
< 0.1%
Close Punctuation 62
 
< 0.1%
Other Punctuation 40
 
< 0.1%
Open Punctuation 37
 
< 0.1%
Letter Number 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 11710
 
8.3%
구 10644
 
7.5%
로 10504
 
7.4%
시 10029
 
7.1%
울 9967
 
7.0%
별 9173
 
6.5%
특 9166
 
6.5%
길 6784
 
4.8%
동 2330
 
1.6%
강 2118
 
1.5%
Other values (645) 59011
41.7%
Uppercase Letter
ValueCountFrequency (%)
S 49
14.1%
A 27
 
7.8%
G 26
 
7.5%
M 21
 
6.0%
C 20
 
5.7%
O 18
 
5.2%
E 18
 
5.2%
T 17
 
4.9%
L 16
 
4.6%
I 15
 
4.3%
Other values (15) 121
34.8%
Lowercase Letter
ValueCountFrequency (%)
m 12
11.4%
s 10
 
9.5%
i 8
 
7.6%
c 8
 
7.6%
o 7
 
6.7%
e 7
 
6.7%
n 7
 
6.7%
r 6
 
5.7%
p 6
 
5.7%
u 5
 
4.8%
Other values (11) 29
27.6%
Decimal Number
ValueCountFrequency (%)
1 8248
21.8%
2 5670
15.0%
3 4339
11.4%
4 3579
9.4%
0 3124
 
8.2%
5 3071
 
8.1%
6 2923
 
7.7%
7 2513
 
6.6%
8 2326
 
6.1%
9 2121
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 17
42.5%
. 7
17.5%
& 5
 
12.5%
/ 5
 
12.5%
@ 5
 
12.5%
? 1
 
2.5%
Letter Number
ValueCountFrequency (%)
Ⅰ 2
40.0%
Ⅱ 2
40.0%
Ⅲ 1
20.0%
Space Separator
ValueCountFrequency (%)
44068
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2925
100.0%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 141436
62.3%
Common 85049
37.5%
Latin 458
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 11710
 
8.3%
구 10644
 
7.5%
로 10504
 
7.4%
시 10029
 
7.1%
울 9967
 
7.0%
별 9173
 
6.5%
특 9166
 
6.5%
길 6784
 
4.8%
동 2330
 
1.6%
강 2118
 
1.5%
Other values (645) 59011
41.7%
Latin
ValueCountFrequency (%)
S 49
 
10.7%
A 27
 
5.9%
G 26
 
5.7%
M 21
 
4.6%
C 20
 
4.4%
O 18
 
3.9%
E 18
 
3.9%
T 17
 
3.7%
L 16
 
3.5%
I 15
 
3.3%
Other values (39) 231
50.4%
Common
ValueCountFrequency (%)
44068
51.8%
1 8248
 
9.7%
2 5670
 
6.7%
3 4339
 
5.1%
4 3579
 
4.2%
0 3124
 
3.7%
5 3071
 
3.6%
- 2925
 
3.4%
6 2923
 
3.4%
7 2513
 
3.0%
Other values (11) 4589
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 141436
62.3%
ASCII 85502
37.7%
Number Forms 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
44068
51.5%
1 8248
 
9.6%
2 5670
 
6.6%
3 4339
 
5.1%
4 3579
 
4.2%
0 3124
 
3.7%
5 3071
 
3.6%
- 2925
 
3.4%
6 2923
 
3.4%
7 2513
 
2.9%
Other values (57) 5042
 
5.9%
Hangul
ValueCountFrequency (%)
서 11710
 
8.3%
구 10644
 
7.5%
로 10504
 
7.4%
시 10029
 
7.1%
울 9967
 
7.0%
별 9173
 
6.5%
특 9166
 
6.5%
길 6784
 
4.8%
동 2330
 
1.6%
강 2118
 
1.5%
Other values (645) 59011
41.7%
Number Forms
ValueCountFrequency (%)
Ⅰ 2
40.0%
Ⅱ 2
40.0%
Ⅲ 1
20.0%

소재지지번주소
Text

Distinct9823
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T15:55:40.597043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length43
Mean length22.7182
Min length12

Characters and Unicode

Total characters227182
Distinct characters741
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9687 ?
Unique (%)96.9%

Sample

1st row서울특별시 용산구 원효로1가 51-10
2nd row서울특별시 서초구 방배동 530-9 방배아트빌
3rd row서울특별시 강서구 화곡동 424-186 김재욱 가
4th row서울특별시 종로구 혜화동 163-3
5th row서울시 영등포구 양평동1가 267
ValueCountFrequency (%)
서울특별시 9275
 
20.6%
강남구 756
 
1.7%
서초구 730
 
1.6%
영등포구 698
 
1.5%
서울시 698
 
1.5%
종로구 591
 
1.3%
송파구 589
 
1.3%
성북구 561
 
1.2%
관악구 543
 
1.2%
용산구 538
 
1.2%
Other values (12419) 30103
66.8%
2023-12-11T15:55:41.161039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40849
18.0%
서 11762
 
5.2%
동 11415
 
5.0%
구 10767
 
4.7%
시 10080
 
4.4%
울 10060
 
4.4%
별 9295
 
4.1%
특 9285
 
4.1%
1 8767
 
3.9%
- 8505
 
3.7%
Other values (731) 96397
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 133781
58.9%
Decimal Number 43349
 
19.1%
Space Separator 40849
 
18.0%
Dash Punctuation 8505
 
3.7%
Uppercase Letter 400
 
0.2%
Lowercase Letter 113
 
< 0.1%
Close Punctuation 71
 
< 0.1%
Other Punctuation 62
 
< 0.1%
Open Punctuation 44
 
< 0.1%
Letter Number 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 11762
 
8.8%
동 11415
 
8.5%
구 10767
 
8.0%
시 10080
 
7.5%
울 10060
 
7.5%
별 9295
 
6.9%
특 9285
 
6.9%
강 1941
 
1.5%
신 1573
 
1.2%
포 1487
 
1.1%
Other values (661) 56116
41.9%
Uppercase Letter
ValueCountFrequency (%)
S 55
 
13.8%
A 30
 
7.5%
G 28
 
7.0%
C 27
 
6.8%
M 23
 
5.8%
T 23
 
5.8%
E 20
 
5.0%
O 19
 
4.8%
K 19
 
4.8%
L 17
 
4.2%
Other values (15) 139
34.8%
Lowercase Letter
ValueCountFrequency (%)
m 13
 
11.5%
s 13
 
11.5%
e 8
 
7.1%
i 8
 
7.1%
c 7
 
6.2%
o 7
 
6.2%
n 7
 
6.2%
t 6
 
5.3%
r 6
 
5.3%
p 5
 
4.4%
Other values (11) 33
29.2%
Decimal Number
ValueCountFrequency (%)
1 8767
20.2%
2 5828
13.4%
3 4836
11.2%
4 4189
9.7%
5 3959
9.1%
6 3855
8.9%
7 3224
 
7.4%
0 2943
 
6.8%
9 2914
 
6.7%
8 2834
 
6.5%
Other Punctuation
ValueCountFrequency (%)
, 19
30.6%
? 14
22.6%
. 10
16.1%
& 7
 
11.3%
@ 7
 
11.3%
/ 5
 
8.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 2
40.0%
Ⅱ 2
40.0%
Ⅲ 1
20.0%
Space Separator
ValueCountFrequency (%)
40849
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8505
100.0%
Close Punctuation
ValueCountFrequency (%)
) 71
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 133781
58.9%
Common 92883
40.9%
Latin 518
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 11762
 
8.8%
동 11415
 
8.5%
구 10767
 
8.0%
시 10080
 
7.5%
울 10060
 
7.5%
별 9295
 
6.9%
특 9285
 
6.9%
강 1941
 
1.5%
신 1573
 
1.2%
포 1487
 
1.1%
Other values (661) 56116
41.9%
Latin
ValueCountFrequency (%)
S 55
 
10.6%
A 30
 
5.8%
G 28
 
5.4%
C 27
 
5.2%
M 23
 
4.4%
T 23
 
4.4%
E 20
 
3.9%
O 19
 
3.7%
K 19
 
3.7%
L 17
 
3.3%
Other values (39) 257
49.6%
Common
ValueCountFrequency (%)
40849
44.0%
1 8767
 
9.4%
- 8505
 
9.2%
2 5828
 
6.3%
3 4836
 
5.2%
4 4189
 
4.5%
5 3959
 
4.3%
6 3855
 
4.2%
7 3224
 
3.5%
0 2943
 
3.2%
Other values (11) 5928
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 133781
58.9%
ASCII 93396
41.1%
Number Forms 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40849
43.7%
1 8767
 
9.4%
- 8505
 
9.1%
2 5828
 
6.2%
3 4836
 
5.2%
4 4189
 
4.5%
5 3959
 
4.2%
6 3855
 
4.1%
7 3224
 
3.5%
0 2943
 
3.2%
Other values (57) 6441
 
6.9%
Hangul
ValueCountFrequency (%)
서 11762
 
8.8%
동 11415
 
8.5%
구 10767
 
8.0%
시 10080
 
7.5%
울 10060
 
7.5%
별 9295
 
6.9%
특 9285
 
6.9%
강 1941
 
1.5%
신 1573
 
1.2%
포 1487
 
1.1%
Other values (661) 56116
41.9%
Number Forms
ValueCountFrequency (%)
Ⅰ 2
40.0%
Ⅱ 2
40.0%
Ⅲ 1
20.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct9970
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.779623
Minimum37.434653
Maximum127.04558
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T15:55:41.328380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.434653
5-th percentile37.477601
Q137.506593
median37.543179
Q337.577999
95-th percentile37.646628
Maximum127.04558
Range89.61093
Interquartile range (IQR)0.071406283

Descriptive statistics

Standard deviation4.5579154
Coefficient of variation (CV)0.12064481
Kurtosis379.71687
Mean37.779623
Median Absolute Deviation (MAD)0.035880195
Skewness19.534452
Sum377796.23
Variance20.774593
MonotonicityNot monotonic
2023-12-11T15:55:41.473692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.55624851 6
 
0.1%
37.53463 3
 
< 0.1%
37.63378272 3
 
< 0.1%
37.563532 2
 
< 0.1%
37.53701 2
 
< 0.1%
37.57910947 2
 
< 0.1%
37.53568 2
 
< 0.1%
37.50896259 2
 
< 0.1%
37.61279 2
 
< 0.1%
37.562909 2
 
< 0.1%
Other values (9960) 9974
99.7%
ValueCountFrequency (%)
37.43465303 1
< 0.1%
37.43523388 1
< 0.1%
37.44343263 1
< 0.1%
37.44376019 1
< 0.1%
37.44413344 1
< 0.1%
37.44424563 1
< 0.1%
37.44606707 1
< 0.1%
37.44676399 1
< 0.1%
37.44831064 1
< 0.1%
37.44975938 1
< 0.1%
ValueCountFrequency (%)
127.0455829 1
< 0.1%
127.0444273 1
< 0.1%
127.0443256 1
< 0.1%
127.0441397 1
< 0.1%
127.0435902 1
< 0.1%
127.0435616 1
< 0.1%
127.0434771 1
< 0.1%
127.0434469 1
< 0.1%
127.043099 1
< 0.1%
127.042913 1
< 0.1%

경도
Real number (ℝ)

Distinct9965
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.7601
Minimum37.666201
Maximum127.18179
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T15:55:41.630544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.666201
5-th percentile126.84251
Q1126.92042
median127.0034
Q3127.05528
95-th percentile127.1316
Maximum127.18179
Range89.515593
Interquartile range (IQR)0.13485623

Descriptive statistics

Standard deviation4.5494326
Coefficient of variation (CV)0.0358901
Kurtosis379.53673
Mean126.7601
Median Absolute Deviation (MAD)0.0646193
Skewness-19.52752
Sum1267601
Variance20.697337
MonotonicityNot monotonic
2023-12-11T15:55:41.779324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.996127 6
 
0.1%
126.96381 3
 
< 0.1%
126.9117934 3
 
< 0.1%
126.9892347 2
 
< 0.1%
127.038484 2
 
< 0.1%
126.8802359 2
 
< 0.1%
126.99842 2
 
< 0.1%
126.8974053 2
 
< 0.1%
126.98989 2
 
< 0.1%
126.96033 2
 
< 0.1%
Other values (9955) 9974
99.7%
ValueCountFrequency (%)
37.66620077 1
< 0.1%
37.66697325 1
< 0.1%
37.66759597 1
< 0.1%
37.66765426 1
< 0.1%
37.6678908 1
< 0.1%
37.66909965 1
< 0.1%
37.67003441 1
< 0.1%
37.67117087 1
< 0.1%
37.67163135 1
< 0.1%
37.67177084 1
< 0.1%
ValueCountFrequency (%)
127.1817938 1
< 0.1%
127.1802605 1
< 0.1%
127.180103 1
< 0.1%
127.1798514 1
< 0.1%
127.1797375 1
< 0.1%
127.1794324 1
< 0.1%
127.1786285 1
< 0.1%
127.1770759 1
< 0.1%
127.1758999 1
< 0.1%
127.1755025 1
< 0.1%

상세위치
Text

MISSING 

Distinct3750
Distinct (%)64.1%
Missing4149
Missing (%)41.5%
Memory size156.2 KiB
2023-12-11T15:55:42.103234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length22
Mean length5.4334302
Min length1

Characters and Unicode

Total characters31791
Distinct characters749
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3538 ?
Unique (%)60.5%

Sample

1st row지번앞
2nd row방배아트빌
3rd row진영도기주)
4th row신정아이파크위브동뒷편
5th row
ValueCountFrequency (%)
앞 1105
 
15.0%
지번 911
 
12.4%
지번앞 518
 
7.0%
일반주택 62
 
0.8%
주택 61
 
0.8%
옆 27
 
0.4%
전면 25
 
0.3%
일반가 24
 
0.3%
입구 16
 
0.2%
빌라 14
 
0.2%
Other values (3967) 4605
62.5%
2023-12-11T15:55:42.628483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2836
 
8.9%
앞 1877
 
5.9%
지 1699
 
5.3%
번 1467
 
4.6%
빌 949
 
3.0%
동 557
 
1.8%
트 496
 
1.6%
아 496
 
1.6%
딩 495
 
1.6%
주 450
 
1.4%
Other values (739) 20469
64.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27585
86.8%
Space Separator 2836
 
8.9%
Decimal Number 702
 
2.2%
Uppercase Letter 356
 
1.1%
Lowercase Letter 140
 
0.4%
Close Punctuation 67
 
0.2%
Open Punctuation 44
 
0.1%
Dash Punctuation 28
 
0.1%
Other Punctuation 28
 
0.1%
Letter Number 3
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
앞 1877
 
6.8%
지 1699
 
6.2%
번 1467
 
5.3%
빌 949
 
3.4%
동 557
 
2.0%
트 496
 
1.8%
아 496
 
1.8%
딩 495
 
1.8%
주 450
 
1.6%
파 424
 
1.5%
Other values (668) 18675
67.7%
Uppercase Letter
ValueCountFrequency (%)
S 40
 
11.2%
A 31
 
8.7%
G 26
 
7.3%
C 25
 
7.0%
T 21
 
5.9%
B 19
 
5.3%
K 19
 
5.3%
E 19
 
5.3%
M 18
 
5.1%
L 17
 
4.8%
Other values (15) 121
34.0%
Lowercase Letter
ValueCountFrequency (%)
s 15
10.7%
l 14
 
10.0%
m 13
 
9.3%
e 11
 
7.9%
c 10
 
7.1%
i 10
 
7.1%
u 9
 
6.4%
r 8
 
5.7%
o 7
 
5.0%
n 7
 
5.0%
Other values (10) 36
25.7%
Decimal Number
ValueCountFrequency (%)
1 227
32.3%
2 97
13.8%
0 82
 
11.7%
3 61
 
8.7%
4 49
 
7.0%
5 47
 
6.7%
9 45
 
6.4%
6 35
 
5.0%
8 30
 
4.3%
7 29
 
4.1%
Other Punctuation
ValueCountFrequency (%)
@ 10
35.7%
. 6
21.4%
/ 5
17.9%
, 4
 
14.3%
& 3
 
10.7%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
33.3%
Ⅱ 1
33.3%
Ⅰ 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 66
98.5%
] 1
 
1.5%
Open Punctuation
ValueCountFrequency (%)
( 43
97.7%
[ 1
 
2.3%
Space Separator
ValueCountFrequency (%)
2836
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27586
86.8%
Common 3706
 
11.7%
Latin 499
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
앞 1877
 
6.8%
지 1699
 
6.2%
번 1467
 
5.3%
빌 949
 
3.4%
동 557
 
2.0%
트 496
 
1.8%
아 496
 
1.8%
딩 495
 
1.8%
주 450
 
1.6%
파 424
 
1.5%
Other values (669) 18676
67.7%
Latin
ValueCountFrequency (%)
S 40
 
8.0%
A 31
 
6.2%
G 26
 
5.2%
C 25
 
5.0%
T 21
 
4.2%
B 19
 
3.8%
K 19
 
3.8%
E 19
 
3.8%
M 18
 
3.6%
L 17
 
3.4%
Other values (38) 264
52.9%
Common
ValueCountFrequency (%)
2836
76.5%
1 227
 
6.1%
2 97
 
2.6%
0 82
 
2.2%
) 66
 
1.8%
3 61
 
1.6%
4 49
 
1.3%
5 47
 
1.3%
9 45
 
1.2%
( 43
 
1.2%
Other values (12) 153
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27585
86.8%
ASCII 4202
 
13.2%
Number Forms 3
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2836
67.5%
1 227
 
5.4%
2 97
 
2.3%
0 82
 
2.0%
) 66
 
1.6%
3 61
 
1.5%
4 49
 
1.2%
5 47
 
1.1%
9 45
 
1.1%
( 43
 
1.0%
Other values (57) 649
 
15.4%
Hangul
ValueCountFrequency (%)
앞 1877
 
6.8%
지 1699
 
6.2%
번 1467
 
5.3%
빌 949
 
3.4%
동 557
 
2.0%
트 496
 
1.8%
아 496
 
1.8%
딩 495
 
1.8%
주 450
 
1.6%
파 424
 
1.5%
Other values (668) 18675
67.7%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
33.3%
Ⅱ 1
33.3%
Ⅰ 1
33.3%
None
ValueCountFrequency (%)
㈜ 1
100.0%

안전센터명
Text

Distinct80
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T15:55:42.890138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length8.0494
Min length5

Characters and Unicode

Total characters80494
Distinct characters106
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

Unique0 ?
Unique (%)0.0%

Sample

1st row현장대응단
2nd row방배119안전센터
3rd row화곡119안전센터
4th row연건119안전센터
5th row당산119안전센터
ValueCountFrequency (%)
현장대응단 2569
25.7%
영동119안전센터 192
 
1.9%
역삼119안전센터 186
 
1.9%
대림119안전센터 177
 
1.8%
서초119안전센터 166
 
1.7%
길음119안전센터 158
 
1.6%
양재119안전센터 153
 
1.5%
이태원119안전센터 148
 
1.5%
장위119안전센터 142
 
1.4%
돈암119안전센터 133
 
1.3%
Other values (70) 5976
59.8%
2023-12-11T15:55:43.321496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 14862
18.5%
전 7521
9.3%
9 7431
9.2%
안 7431
9.2%
센 7431
9.2%
터 7431
9.2%
장 2764
 
3.4%
대 2746
 
3.4%
현 2667
 
3.3%
단 2619
 
3.3%
Other values (96) 17591
21.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 58201
72.3%
Decimal Number 22293
 
27.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 7521
12.9%
안 7431
12.8%
센 7431
12.8%
터 7431
12.8%
장 2764
 
4.7%
대 2746
 
4.7%
현 2667
 
4.6%
단 2619
 
4.5%
응 2569
 
4.4%
신 826
 
1.4%
Other values (94) 14196
24.4%
Decimal Number
ValueCountFrequency (%)
1 14862
66.7%
9 7431
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 58201
72.3%
Common 22293
 
27.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 7521
12.9%
안 7431
12.8%
센 7431
12.8%
터 7431
12.8%
장 2764
 
4.7%
대 2746
 
4.7%
현 2667
 
4.6%
단 2619
 
4.5%
응 2569
 
4.4%
신 826
 
1.4%
Other values (94) 14196
24.4%
Common
ValueCountFrequency (%)
1 14862
66.7%
9 7431
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 58201
72.3%
ASCII 22293
 
27.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 14862
66.7%
9 7431
33.3%
Hangul
ValueCountFrequency (%)
전 7521
12.9%
안 7431
12.8%
센 7431
12.8%
터 7431
12.8%
장 2764
 
4.7%
대 2746
 
4.7%
현 2667
 
4.6%
단 2619
 
4.5%
응 2569
 
4.4%
신 826
 
1.4%
Other values (94) 14196
24.4%

보호틀유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9983 
True
 
17
ValueCountFrequency (%)
False 9983
99.8%
True 17
 
0.2%
2023-12-11T15:55:43.458840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

사용가능여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
9781 
False
 
219
ValueCountFrequency (%)
True 9781
97.8%
False 219
 
2.2%
2023-12-11T15:55:43.545660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

설치연도
Real number (ℝ)

Distinct62
Distinct (%)0.6%
Missing5
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1997.1382
Minimum1950
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T15:55:43.671626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1950
5-th percentile1986
Q11992
median1996
Q32003
95-th percentile2012
Maximum2022
Range72
Interquartile range (IQR)11

Descriptive statistics

Standard deviation8.7464232
Coefficient of variation (CV)0.0043794783
Kurtosis1.8623701
Mean1997.1382
Median Absolute Deviation (MAD)5
Skewness-0.18306344
Sum19961396
Variance76.499919
MonotonicityNot monotonic
2023-12-11T15:55:43.836579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1996 843
 
8.4%
1997 768
 
7.7%
1992 604
 
6.0%
1993 577
 
5.8%
1998 544
 
5.4%
1995 504
 
5.0%
1994 496
 
5.0%
2001 480
 
4.8%
1989 339
 
3.4%
1987 323
 
3.2%
Other values (52) 4517
45.2%
ValueCountFrequency (%)
1950 20
0.2%
1954 1
 
< 0.1%
1960 2
 
< 0.1%
1962 7
 
0.1%
1964 1
 
< 0.1%
1965 4
 
< 0.1%
1966 1
 
< 0.1%
1968 10
0.1%
1969 9
0.1%
1970 7
 
0.1%
ValueCountFrequency (%)
2022 8
 
0.1%
2021 12
 
0.1%
2020 21
 
0.2%
2019 21
 
0.2%
2018 31
 
0.3%
2017 39
 
0.4%
2016 64
0.6%
2015 61
0.6%
2014 92
0.9%
2013 128
1.3%

배관깊이
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

출수압력
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

배관지름
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

관할소방서명
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
강남소방서
754 
서초소방서
730 
영등포소방서
698 
종로소방서
 
591
송파소방서
 
589
Other values (16)
6638 

Length

Max length6
Median length5
Mean length5.12
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row용산소방서
2nd row서초소방서
3rd row강서소방서
4th row종로소방서
5th row영등포소방서

Common Values

ValueCountFrequency (%)
강남소방서 754
 
7.5%
서초소방서 730
 
7.3%
영등포소방서 698
 
7.0%
종로소방서 591
 
5.9%
송파소방서 589
 
5.9%
성북소방서 561
 
5.6%
관악소방서 543
 
5.4%
용산소방서 538
 
5.4%
강서소방서 521
 
5.2%
중부소방서 521
 
5.2%
Other values (11) 3954
39.5%

Length

2023-12-11T15:55:44.005868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
강남소방서 754
 
7.5%
서초소방서 730
 
7.3%
영등포소방서 698
 
7.0%
종로소방서 591
 
5.9%
송파소방서 589
 
5.9%
성북소방서 561
 
5.6%
관악소방서 543
 
5.4%
용산소방서 538
 
5.4%
강서소방서 521
 
5.2%
중부소방서 521
 
5.2%
Other values (11) 3954
39.5%

관할소방서전화번호
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
02-6981-7475
754 
02-6981-5843
730 
02-6981-7043
698 
02-6981-5700
 
591
02-6981-5243
 
589
Other values (16)
6638 

Length

Max length12
Median length12
Mean length11.9441
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02-6943-1443
2nd row02-6981-5843
3rd row02-6981-5043
4th row02-6981-5700
5th row02-6981-7043

Common Values

ValueCountFrequency (%)
02-6981-7475 754
 
7.5%
02-6981-5843 730
 
7.3%
02-6981-7043 698
 
7.0%
02-6981-5700 591
 
5.9%
02-6981-5243 589
 
5.9%
02-6981-7243 561
 
5.6%
02-886-1192 543
 
5.4%
02-6943-1443 538
 
5.4%
02-6981-5043 521
 
5.2%
02-2253-0119 521
 
5.2%
Other values (11) 3954
39.5%

Length

2023-12-11T15:55:44.147352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
02-6981-7475 754
 
7.5%
02-6981-5843 730
 
7.3%
02-6981-7043 698
 
7.0%
02-6981-5700 591
 
5.9%
02-6981-5243 589
 
5.9%
02-6981-7243 561
 
5.6%
02-886-1192 543
 
5.4%
02-6943-1443 538
 
5.4%
02-6981-5043 521
 
5.2%
02-2253-0119 521
 
5.2%
Other values (11) 3954
39.5%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-06-30 00:00:00
Maximum2022-06-30 00:00:00
2023-12-11T15:55:44.246600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:55:44.356419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T15:55:35.945155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:55:34.570862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:55:35.096914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:55:35.543849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:55:36.058691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:55:34.706747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:55:35.211024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:55:35.666138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:55:36.151559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:55:34.819724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:55:35.320947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:55:35.754796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:55:36.264146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:55:34.971937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:55:35.419577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:55:35.836407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T15:55:44.433685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설유형코드시군구명시군구코드위도경도안전센터명보호틀유무사용가능여부설치연도관할소방서명관할소방서전화번호
시설유형코드1.0000.1270.1120.0000.0000.2130.0250.0510.3330.1450.145
시군구명0.1271.0001.0000.3090.3090.9930.0750.1360.2921.0001.000
시군구코드0.1121.0001.0000.2170.2170.9840.0590.1170.2061.0001.000
위도0.0000.3090.2171.0001.0000.5820.0000.0000.0000.3430.343
경도0.0000.3090.2171.0001.0000.5820.0000.0000.0000.3430.343
안전센터명0.2130.9930.9840.5820.5821.0000.1210.1990.4190.9960.996
보호틀유무0.0250.0750.0590.0000.0000.1211.0000.0000.1290.0850.085
사용가능여부0.0510.1360.1170.0000.0000.1990.0001.0000.0700.1530.153
설치연도0.3330.2920.2060.0000.0000.4190.1290.0701.0000.3360.336
관할소방서명0.1451.0001.0000.3430.3430.9960.0850.1530.3361.0001.000
관할소방서전화번호0.1451.0001.0000.3430.3430.9960.0850.1530.3361.0001.000
2023-12-11T15:55:44.574718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명관할소방서명사용가능여부시설유형코드관할소방서전화번호보호틀유무
시군구명1.0001.0000.1190.0621.0000.066
관할소방서명1.0001.0000.1210.0631.0000.067
사용가능여부0.1190.1211.0000.0630.1210.000
시설유형코드0.0620.0630.0631.0000.0630.030
관할소방서전화번호1.0001.0000.1210.0631.0000.067
보호틀유무0.0660.0670.0000.0300.0671.000
2023-12-11T15:55:44.688897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구코드위도경도설치연도시설유형코드시군구명보호틀유무사용가능여부관할소방서명관할소방서전화번호
시군구코드1.000-0.6690.1470.1400.0490.9990.0470.0900.9990.999
위도-0.6691.0000.133-0.0930.0000.2710.0000.0000.2710.271
경도0.1470.1331.000-0.0090.0000.2710.0000.0000.2710.271
설치연도0.140-0.093-0.0091.0000.1250.1210.0990.0540.1210.121
시설유형코드0.0490.0000.0000.1251.0000.0620.0300.0630.0630.063
시군구명0.9990.2710.2710.1210.0621.0000.0660.1191.0001.000
보호틀유무0.0470.0000.0000.0990.0300.0661.0000.0000.0670.067
사용가능여부0.0900.0000.0000.0540.0630.1190.0001.0000.1210.121
관할소방서명0.9990.2710.2710.1210.0631.0000.0670.1211.0001.000
관할소방서전화번호0.9990.2710.2710.1210.0631.0000.0670.1211.0001.000

Missing values

2023-12-11T15:55:36.452799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T15:55:36.738904image/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.
2023-12-11T15:55:36.911124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

Unnamed: 0시설유형코드시도명시군구명시군구코드소재지도로명주소소재지지번주소위도경도상세위치안전센터명보호틀유무사용가능여부설치연도배관깊이출수압력배관지름관할소방서명관할소방서전화번호데이터기준일자
809111062서울특별시용산구11170서울특별시 용산구 원효로81길 8서울특별시 용산구 원효로1가 51-1037.53925126.967419지번앞현장대응단NY1993<NA><NA><NA>용산소방서02-6943-14432022-06-30
26329서울서초-201192서울특별시서초구11650서울특별시 서초구 효령로12길 14-12 방배아트빌서울특별시 서초구 방배동 530-9 방배아트빌37.478018126.988983방배아트빌방배119안전센터NY2003<NA><NA><NA>서초소방서02-6981-58432022-06-30
28385강서-0800052서울특별시강서구11500서울특별시 강서구 곰달래로19가길 16-21 김재욱 가서울특별시 강서구 화곡동 424-186 김재욱 가37.531571126.841401<NA>화곡119안전센터NY1986<NA><NA><NA>강서소방서02-6981-50432022-06-30
1816연-4172서울특별시종로구11110서울특별시 종로구 대학로14길 34서울특별시 종로구 혜화동 163-337.584902127.002483<NA>연건119안전센터NY1982<NA><NA><NA>종로소방서02-6981-57002022-06-30
121257630261서울특별시영등포구11560서울시 영등포구 선유서로104-0서울시 영등포구 양평동1가 26737.524843126.886132<NA>당산119안전센터NY2001<NA><NA><NA>영등포소방서02-6981-70432022-06-30
24206서울서초-0002642서울특별시서초구11650서울특별시 서초구 효령로14마길 11서울특별시 서초구 방배동 541-4537.477639126.99149<NA>방배119안전센터NY1992<NA><NA><NA>서초소방서02-6981-58432022-06-30
6250203292서울특별시광진구11215서울특별시 광진구 아차산로22길 30서울특별시 광진구 자양동 24-2337.540649127.06414<NA>능동119안전센터NY2002<NA><NA><NA>광진소방서02-6981-66432022-06-30
149717643261서울특별시영등포구11560서울시 영등포구 가마산로376-0서울시 영등포구 대림동 681-3 진영도기 주)37.501837126.899715진영도기주)대림119안전센터NY1996<NA><NA><NA>영등포소방서02-6981-70432022-06-30
481363200202서울특별시양천구11470서울특별시 양천구 남부순환로83길 48 신정아이파크위브 304동 뒷편서울특별시 양천구 신월동 593-13 신정아이파크위브 304동 뒷편37.515436126.846038신정아이파크위브동뒷편신트리119안전센터NY1992<NA><NA><NA>양천소방서02-6981-86432022-06-30
34093마포-0023502서울특별시마포구11440서울특별시 마포구 새창로4가길 9서울특별시 마포구 도화동 38-1937.541545126.948032염리119안전센터NY2001<NA><NA><NA>마포소방서02-6981-78432022-06-30
Unnamed: 0시설유형코드시도명시군구명시군구코드소재지도로명주소소재지지번주소위도경도상세위치안전센터명보호틀유무사용가능여부설치연도배관깊이출수압력배관지름관할소방서명관할소방서전화번호데이터기준일자
473282500172서울특별시양천구11470서울특별시 양천구 목동서로 280 목동신시가지아파트8단지서울특별시 양천구 신정동 314 목동신시가지아파트8단지37.520619126.866497신시가지아파트단지신트리119안전센터NY1992<NA><NA><NA>양천소방서02-6981-86432022-06-30
2521종-0301서울특별시종로구11110서울특별시 종로구 북촌로 42-2 광주요가회점서울특별시 종로구 가회동 203 광주요가회점37.580509126.985139<NA>종로119안전센터NY2001<NA><NA><NA>종로소방서02-6981-57002022-06-30
125047604172서울특별시영등포구11560서울시 영등포구 경인로879-0서울시 영등포구 영등포동3가 12-2 페트라호텔37.517863126.909754페트라호텔현장대응단NY1998<NA><NA><NA>영등포소방서02-6981-70432022-06-30
3882714432서울특별시노원구11350서울특별시 노원구 동일로214길 21 상계주공아파트서울특별시 노원구 상계동 751-1 상계주공아파트37.649593127.065515상계주공아파트현장대응단NY1988<NA><NA><NA>노원소방서02-6981-68432022-06-30
124447604042서울특별시영등포구11560서울시 영등포구 영등포로216-1서울시 영등포구 영등포동3가 6-11 온누리약국37.519527126.905272온누리약국현장대응단NY1986<NA><NA><NA>영등포소방서02-6981-70432022-06-30
25446서울서초-0070082서울특별시서초구11650서울특별시 서초구 신흥말길 75서울특별시 서초구 내곡동 1-112337.453774127.081208<NA>양재119안전센터NY1997<NA><NA><NA>서초소방서02-6981-58432022-06-30
4184615032서울특별시관악구11620서울특별시 관악구 남부순환로256라길 39 지번 앞 우측 도로상서울특별시 관악구 남현동 1073-4 지번 앞 우측 도로상37.471528126.972913지번 앞 우측 도로상현장대응단NY2015<NA><NA><NA>관악소방서02-886-11922022-06-30
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