Overview

Dataset statistics

Number of variables11
Number of observations5918
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory526.0 KiB
Average record size in memory91.0 B

Variable types

Text4
Categorical5
Numeric2

Dataset

Description파일 다운로드
Author도봉구
URLhttps://data.seoul.go.kr/dataList/OA-13483/F/1/datasetView.do

Alerts

관리기관전화번호 has constant value ""Constant
관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
설치개수 is highly imbalanced (76.4%)Imbalance
위도 is highly skewed (γ1 = 23.13681484)Skewed
경도 is highly skewed (γ1 = 23.13648807)Skewed

Reproduction

Analysis started2023-12-11 04:54:39.410462
Analysis finished2023-12-11 04:54:42.321752
Duration2.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

보안등위치명
Text

Distinct5917
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Memory size46.4 KiB
2023-12-11T13:54:42.738867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.0032105
Min length8

Characters and Unicode

Total characters47363
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

Unique5916 ?
Unique (%)> 99.9%

Sample

1st row02-04-03
2nd row02-08-03
3rd row02-06-03
4th row02-14-03
5th row02-18-03
ValueCountFrequency (%)
06-09-24 2
 
< 0.1%
05-11-08 1
 
< 0.1%
04-02-08 1
 
< 0.1%
04-03-08 1
 
< 0.1%
04-06-08 1
 
< 0.1%
04-01-08 1
 
< 0.1%
04-07-08 1
 
< 0.1%
04-02-07 1
 
< 0.1%
04-21-07 1
 
< 0.1%
05-18-08 1
 
< 0.1%
Other values (5907) 5907
99.8%
2023-12-11T13:54:43.651524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 11840
25.0%
0 9238
19.5%
1 9150
19.3%
2 4303
 
9.1%
3 2435
 
5.1%
4 2399
 
5.1%
5 2213
 
4.7%
6 1768
 
3.7%
7 1454
 
3.1%
9 1393
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 35523
75.0%
Dash Punctuation 11840
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9238
26.0%
1 9150
25.8%
2 4303
12.1%
3 2435
 
6.9%
4 2399
 
6.8%
5 2213
 
6.2%
6 1768
 
5.0%
7 1454
 
4.1%
9 1393
 
3.9%
8 1170
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 11840
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 47363
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 11840
25.0%
0 9238
19.5%
1 9150
19.3%
2 4303
 
9.1%
3 2435
 
5.1%
4 2399
 
5.1%
5 2213
 
4.7%
6 1768
 
3.7%
7 1454
 
3.1%
9 1393
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 47363
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 11840
25.0%
0 9238
19.5%
1 9150
19.3%
2 4303
 
9.1%
3 2435
 
5.1%
4 2399
 
5.1%
5 2213
 
4.7%
6 1768
 
3.7%
7 1454
 
3.1%
9 1393
 
2.9%

설치개수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size46.4 KiB
1
5493 
2
 
424
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 5493
92.8%
2 424
 
7.2%
3 1
 
< 0.1%

Length

2023-12-11T13:54:43.927114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:54:44.123851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5493
92.8%
2 424
 
7.2%
3 1
 
< 0.1%

소재지도로명주소
Text

Distinct5469
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Memory size46.4 KiB
2023-12-11T13:54:44.583370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length24
Mean length20.73758
Min length12

Characters and Unicode

Total characters122725
Distinct characters108
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5116 ?
Unique (%)86.4%

Sample

1st row서울특별시 도봉구 도당로2길 17
2nd row서울특별시 도봉구 쌍문제2동 715-2
3rd row서울특별시 도봉구 쌍문제2동 36-73
4th row서울특별시 도봉구 도봉로123길27
5th row서울특별시 도봉구 쌍문제2동 55-4
ValueCountFrequency (%)
서울특별시 5918
25.5%
도봉구 5918
25.5%
도봉제1동 540
 
2.3%
쌍문제1동 492
 
2.1%
창제2동 346
 
1.5%
쌍문제3동 321
 
1.4%
쌍문제2동 280
 
1.2%
방학제2동 243
 
1.0%
창제3동 241
 
1.0%
방학제1동 223
 
1.0%
Other values (4582) 8694
37.4%
2023-12-11T13:54:45.432188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17299
 
14.1%
도 7774
 
6.3%
봉 7739
 
6.3%
1 6443
 
5.2%
시 6165
 
5.0%
구 5923
 
4.8%
서 5918
 
4.8%
울 5918
 
4.8%
별 5918
 
4.8%
특 5918
 
4.8%
Other values (98) 47710
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 71121
58.0%
Decimal Number 30291
24.7%
Space Separator 17299
 
14.1%
Dash Punctuation 4004
 
3.3%
Close Punctuation 5
 
< 0.1%
Open Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 7774
10.9%
봉 7739
10.9%
시 6165
8.7%
구 5923
8.3%
서 5918
8.3%
울 5918
8.3%
별 5918
8.3%
특 5918
8.3%
동 3486
 
4.9%
제 3459
 
4.9%
Other values (84) 12903
18.1%
Decimal Number
ValueCountFrequency (%)
1 6443
21.3%
2 4174
13.8%
3 3604
11.9%
6 3138
10.4%
5 3026
10.0%
4 2753
9.1%
7 1982
 
6.5%
8 1810
 
6.0%
0 1735
 
5.7%
9 1626
 
5.4%
Space Separator
ValueCountFrequency (%)
17299
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4004
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 71121
58.0%
Common 51604
42.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 7774
10.9%
봉 7739
10.9%
시 6165
8.7%
구 5923
8.3%
서 5918
8.3%
울 5918
8.3%
별 5918
8.3%
특 5918
8.3%
동 3486
 
4.9%
제 3459
 
4.9%
Other values (84) 12903
18.1%
Common
ValueCountFrequency (%)
17299
33.5%
1 6443
 
12.5%
2 4174
 
8.1%
- 4004
 
7.8%
3 3604
 
7.0%
6 3138
 
6.1%
5 3026
 
5.9%
4 2753
 
5.3%
7 1982
 
3.8%
8 1810
 
3.5%
Other values (4) 3371
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 71121
58.0%
ASCII 51604
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17299
33.5%
1 6443
 
12.5%
2 4174
 
8.1%
- 4004
 
7.8%
3 3604
 
7.0%
6 3138
 
6.1%
5 3026
 
5.9%
4 2753
 
5.3%
7 1982
 
3.8%
8 1810
 
3.5%
Other values (4) 3371
 
6.5%
Hangul
ValueCountFrequency (%)
도 7774
10.9%
봉 7739
10.9%
시 6165
8.7%
구 5923
8.3%
서 5918
8.3%
울 5918
8.3%
별 5918
8.3%
특 5918
8.3%
동 3486
 
4.9%
제 3459
 
4.9%
Other values (84) 12903
18.1%

소재지지번주소
Text

Distinct5290
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Memory size46.4 KiB
2023-12-11T13:54:45.998986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length29
Mean length21.272558
Min length14

Characters and Unicode

Total characters125891
Distinct characters77
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

Unique4806 ?
Unique (%)81.2%

Sample

1st row서울특별시 도봉구 쌍문제2동 25-7
2nd row서울특별시 도봉구 쌍문제2동 715-2
3rd row서울특별시 도봉구 쌍문제2동 36-73
4th row서울특별시 도봉구 쌍문제2동 81-240
5th row서울특별시 도봉구 쌍문제2동 55-4
ValueCountFrequency (%)
서울특별시 5918
25.0%
도봉구 5918
25.0%
도봉제1동 971
 
4.1%
쌍문제1동 781
 
3.3%
방학제2동 594
 
2.5%
방학제1동 544
 
2.3%
창제2동 510
 
2.2%
창제3동 457
 
1.9%
쌍문제2동 452
 
1.9%
쌍문제3동 436
 
1.8%
Other values (5037) 7081
29.9%
2023-12-11T13:54:48.106795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17744
 
14.1%
도 7212
 
5.7%
봉 7209
 
5.7%
1 6355
 
5.0%
구 5923
 
4.7%
동 5921
 
4.7%
시 5920
 
4.7%
서 5918
 
4.7%
울 5918
 
4.7%
특 5918
 
4.7%
Other values (67) 51853
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69771
55.4%
Decimal Number 32910
26.1%
Space Separator 17744
 
14.1%
Dash Punctuation 5459
 
4.3%
Uppercase Letter 3
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 7212
10.3%
봉 7209
10.3%
구 5923
8.5%
동 5921
8.5%
시 5920
8.5%
서 5918
8.5%
울 5918
8.5%
특 5918
8.5%
별 5918
8.5%
제 5918
8.5%
Other values (50) 7996
11.5%
Decimal Number
ValueCountFrequency (%)
1 6355
19.3%
2 5105
15.5%
3 3957
12.0%
6 3693
11.2%
5 3346
10.2%
4 3050
9.3%
7 2085
 
6.3%
8 1969
 
6.0%
0 1784
 
5.4%
9 1566
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
T 1
33.3%
P 1
33.3%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
17744
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5459
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 69771
55.4%
Common 56117
44.6%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 7212
10.3%
봉 7209
10.3%
구 5923
8.5%
동 5921
8.5%
시 5920
8.5%
서 5918
8.5%
울 5918
8.5%
특 5918
8.5%
별 5918
8.5%
제 5918
8.5%
Other values (50) 7996
11.5%
Common
ValueCountFrequency (%)
17744
31.6%
1 6355
 
11.3%
- 5459
 
9.7%
2 5105
 
9.1%
3 3957
 
7.1%
6 3693
 
6.6%
5 3346
 
6.0%
4 3050
 
5.4%
7 2085
 
3.7%
8 1969
 
3.5%
Other values (4) 3354
 
6.0%
Latin
ValueCountFrequency (%)
T 1
33.3%
P 1
33.3%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69771
55.4%
ASCII 56120
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17744
31.6%
1 6355
 
11.3%
- 5459
 
9.7%
2 5105
 
9.1%
3 3957
 
7.1%
6 3693
 
6.6%
5 3346
 
6.0%
4 3050
 
5.4%
7 2085
 
3.7%
8 1969
 
3.5%
Other values (7) 3357
 
6.0%
Hangul
ValueCountFrequency (%)
도 7212
10.3%
봉 7209
10.3%
구 5923
8.5%
동 5921
8.5%
시 5920
8.5%
서 5918
8.5%
울 5918
8.5%
특 5918
8.5%
별 5918
8.5%
제 5918
8.5%
Other values (50) 7996
11.5%

위도
Real number (ℝ)

SKEWED 

Distinct5242
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean504.35896
Minimum127.01292
Maximum204730
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size52.1 KiB
2023-12-11T13:54:48.645768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.01292
5-th percentile127.01704
Q1127.03184
median127.03761
Q3127.04145
95-th percentile127.04582
Maximum204730
Range204602.99
Interquartile range (IQR)0.0096065

Descriptive statistics

Standard deviation8744.657
Coefficient of variation (CV)17.338161
Kurtosis533.50552
Mean504.35896
Median Absolute Deviation (MAD)0.0045725
Skewness23.136815
Sum2984796.3
Variance76469026
MonotonicityNot monotonic
2023-12-11T13:54:49.134136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.039398 5
 
0.1%
127.039495 4
 
0.1%
127.036264 4
 
0.1%
127.040798 3
 
0.1%
127.040701 3
 
0.1%
127.042885 3
 
0.1%
127.042204 3
 
0.1%
127.039883 3
 
0.1%
127.044163 3
 
0.1%
127.037681 3
 
0.1%
Other values (5232) 5884
99.4%
ValueCountFrequency (%)
127.012918 1
< 0.1%
127.013111 1
< 0.1%
127.013133 1
< 0.1%
127.013156 1
< 0.1%
127.013179 1
< 0.1%
127.013197 1
< 0.1%
127.013235 1
< 0.1%
127.013258 1
< 0.1%
127.013272 1
< 0.1%
127.013282 1
< 0.1%
ValueCountFrequency (%)
204730.0 1
< 0.1%
204099.864 1
< 0.1%
203857.0 1
< 0.1%
203808.0 1
< 0.1%
203529.0 1
< 0.1%
203244.0 1
< 0.1%
203197.844 1
< 0.1%
202664.0 1
< 0.1%
202246.169 1
< 0.1%
201674.09 1
< 0.1%

경도
Real number (ℝ)

SKEWED 

Distinct5488
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean898.2192
Minimum37.631959
Maximum465634.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size52.1 KiB
2023-12-11T13:54:49.695117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.631959
5-th percentile37.637482
Q137.649036
median37.658173
Q337.669331
95-th percentile37.684529
Maximum465634.55
Range465596.92
Interquartile range (IQR)0.02029475

Descriptive statistics

Standard deviation19943.812
Coefficient of variation (CV)22.203724
Kurtosis533.48536
Mean898.2192
Median Absolute Deviation (MAD)0.01007
Skewness23.136488
Sum5315661.2
Variance3.9775563 × 108
MonotonicityNot monotonic
2023-12-11T13:54:50.261618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.661693 4
 
0.1%
37.638429 4
 
0.1%
37.662207 4
 
0.1%
37.667892 3
 
0.1%
37.654662 3
 
0.1%
37.647851 3
 
0.1%
37.655768 3
 
0.1%
37.649391 3
 
0.1%
37.649174 3
 
0.1%
37.668243 3
 
0.1%
Other values (5478) 5885
99.4%
ValueCountFrequency (%)
37.631959 1
< 0.1%
37.632104 1
< 0.1%
37.63223 1
< 0.1%
37.632375 1
< 0.1%
37.632554 1
< 0.1%
37.63269 1
< 0.1%
37.632698 1
< 0.1%
37.632906 1
< 0.1%
37.632949 1
< 0.1%
37.632951 1
< 0.1%
ValueCountFrequency (%)
465634.554 1
< 0.1%
464821.0 1
< 0.1%
464511.0 1
< 0.1%
464418.0 1
< 0.1%
464121.0 1
< 0.1%
463712.0 1
< 0.1%
462114.112 1
< 0.1%
461727.812 1
< 0.1%
461196.735 1
< 0.1%
460783.553 1
< 0.1%

설치년도
Text

Distinct739
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size46.4 KiB
2023-12-11T13:54:51.554724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9989861
Min length7

Characters and Unicode

Total characters59174
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

Unique244 ?
Unique (%)4.1%

Sample

1st row2007-01-26
2nd row2008-01-01
3rd row2007-10-29
4th row2014-07-17
5th row2006-11-17
ValueCountFrequency (%)
2008-01-01 3327
56.2%
2007-09-30 95
 
1.6%
2013-12-16 43
 
0.7%
2013-12-17 42
 
0.7%
2016-05-16 30
 
0.5%
2013-12-13 28
 
0.5%
2015-11-24 19
 
0.3%
2016-12-02 19
 
0.3%
2015-05-11 19
 
0.3%
2015-07-06 19
 
0.3%
Other values (729) 2277
38.5%
2023-12-11T13:54:53.294650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 20770
35.1%
- 11833
20.0%
1 9796
16.6%
2 7611
 
12.9%
8 3925
 
6.6%
7 1337
 
2.3%
6 1277
 
2.2%
3 910
 
1.5%
4 586
 
1.0%
5 574
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 47341
80.0%
Dash Punctuation 11833
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 20770
43.9%
1 9796
20.7%
2 7611
 
16.1%
8 3925
 
8.3%
7 1337
 
2.8%
6 1277
 
2.7%
3 910
 
1.9%
4 586
 
1.2%
5 574
 
1.2%
9 555
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 11833
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 59174
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 20770
35.1%
- 11833
20.0%
1 9796
16.6%
2 7611
 
12.9%
8 3925
 
6.6%
7 1337
 
2.3%
6 1277
 
2.2%
3 910
 
1.5%
4 586
 
1.0%
5 574
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 59174
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 20770
35.1%
- 11833
20.0%
1 9796
16.6%
2 7611
 
12.9%
8 3925
 
6.6%
7 1337
 
2.3%
6 1277
 
2.2%
3 910
 
1.5%
4 586
 
1.0%
5 574
 
1.0%

설치형태
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size46.4 KiB
한전주
3511 
벽부등
1849 
전용주
390 
통신주
 
140
독립주
 
22

Length

Max length4
Median length3
Mean length3.0010139
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row한전주
2nd row한전주
3rd row한전주
4th row벽부등
5th row한전주

Common Values

ValueCountFrequency (%)
한전주 3511
59.3%
벽부등 1849
31.2%
전용주 390
 
6.6%
통신주 140
 
2.4%
독립주 22
 
0.4%
<NA> 6
 
0.1%

Length

2023-12-11T13:54:53.743135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:54:53.964508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한전주 3511
59.3%
벽부등 1849
31.2%
전용주 390
 
6.6%
통신주 140
 
2.4%
독립주 22
 
0.4%
na 6
 
0.1%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size46.4 KiB
02-2091-4083
5918 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02-2091-4083
2nd row02-2091-4083
3rd row02-2091-4083
4th row02-2091-4083
5th row02-2091-4083

Common Values

ValueCountFrequency (%)
02-2091-4083 5918
100.0%

Length

2023-12-11T13:54:54.190869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:54:54.373484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02-2091-4083 5918
100.0%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size46.4 KiB
서울특별시 도봉구청
5918 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시 도봉구청 5918
100.0%

Length

2023-12-11T13:54:54.571047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:54:54.763503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 5918
50.0%
도봉구청 5918
50.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size46.4 KiB
2017-05-17
5918 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017-05-17
2nd row2017-05-17
3rd row2017-05-17
4th row2017-05-17
5th row2017-05-17

Common Values

ValueCountFrequency (%)
2017-05-17 5918
100.0%

Length

2023-12-11T13:54:54.939083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:54:55.089373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017-05-17 5918
100.0%

Interactions

2023-12-11T13:54:41.358302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:54:41.024562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:54:41.521473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:54:41.188227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T13:54:55.200202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치개수위도경도설치형태
설치개수1.0000.0000.0000.183
위도0.0001.0000.9970.008
경도0.0000.9971.0000.008
설치형태0.1830.0080.0081.000
2023-12-11T13:54:55.364319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치개수설치형태
설치개수1.0000.139
설치형태0.1391.000
2023-12-11T13:54:55.523951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도설치개수설치형태
위도1.0000.3340.0000.010
경도0.3341.0000.0000.010
설치개수0.0000.0001.0000.139
설치형태0.0100.0100.1391.000

Missing values

2023-12-11T13:54:41.771531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T13:54:42.156053image/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

보안등위치명설치개수소재지도로명주소소재지지번주소위도경도설치년도설치형태관리기관전화번호관리기관명데이터기준일자
002-04-032서울특별시 도봉구 도당로2길 17서울특별시 도봉구 쌍문제2동 25-7127.03603637.6594262007-01-26한전주02-2091-4083서울특별시 도봉구청2017-05-17
102-08-031서울특별시 도봉구 쌍문제2동 715-2서울특별시 도봉구 쌍문제2동 715-2127.04086737.6605032008-01-01한전주02-2091-4083서울특별시 도봉구청2017-05-17
202-06-031서울특별시 도봉구 쌍문제2동 36-73서울특별시 도봉구 쌍문제2동 36-73127.03838637.6587172007-10-29한전주02-2091-4083서울특별시 도봉구청2017-05-17
302-14-031서울특별시 도봉구 도봉로123길27서울특별시 도봉구 쌍문제2동 81-240127.03529737.6530052014-07-17벽부등02-2091-4083서울특별시 도봉구청2017-05-17
402-18-031서울특별시 도봉구 쌍문제2동 55-4서울특별시 도봉구 쌍문제2동 55-4127.03762437.6566662006-11-17한전주02-2091-4083서울특별시 도봉구청2017-05-17
502-07-031서울특별시 도봉구 쌍문제2동 195서울특별시 도봉구 쌍문제2동 195127.03484837.6590692010-04-05한전주02-2091-4083서울특별시 도봉구청2017-05-17
602-05-031서울특별시 도봉구 방학로5길 64서울특별시 도봉구 쌍문제2동 29-14127.03784137.6600812008-01-01한전주02-2091-4083서울특별시 도봉구청2017-05-17
702-11-031서울특별시 도봉구 쌍문제2동 648서울특별시 도봉구 쌍문제2동 648127.03784537.6561272008-01-01한전주02-2091-4083서울특별시 도봉구청2017-05-17
802-16-031서울특별시 도봉구 쌍문제2동 81-140서울특별시 도봉구 쌍문제2동 81-140127.0345737.6522622008-01-01한전주02-2091-4083서울특별시 도봉구청2017-05-17
902-15-031서울특별시 도봉구 쌍문제2동 81-404서울특별시 도봉구 쌍문제2동 81-404127.03431937.6528022006-03-31한전주02-2091-4083서울특별시 도봉구청2017-05-17
보안등위치명설치개수소재지도로명주소소재지지번주소위도경도설치년도설치형태관리기관전화번호관리기관명데이터기준일자
590807-22-162서울특별시 도봉구 방학로 252-18서울특별시 도봉구 방학제3동 465-1127.02434437.6619222007-09-19벽부등02-2091-4083서울특별시 도봉구청2017-05-17
590907-33-161서울특별시 도봉구 해등로 264서울특별시 도봉구 방학제3동 734127.02513637.6582732015-09-15벽부등02-2091-4083서울특별시 도봉구청2017-05-17
591007-16-171서울특별시 도봉구 방학제3동 307-19서울특별시 도봉구 방학제3동 307-19127.02835737.6643452008-01-01한전주02-2091-4083서울특별시 도봉구청2017-05-17
591107-33-171서울특별시 도봉구 해등로 264서울특별시 도봉구 방학제3동 734127.02502337.6580842015-09-15벽부등02-2091-4083서울특별시 도봉구청2017-05-17
591207-22-171서울특별시 도봉구 방학제3동 466서울특별시 도봉구 방학제3동 466127.02455337.6620622007-09-20한전주02-2091-4083서울특별시 도봉구청2017-05-17
591307-16-181서울특별시 도봉구 방학제3동 430-2서울특별시 도봉구 방학제3동 430-2127.02807437.6646342008-01-01한전주02-2091-4083서울특별시 도봉구청2017-05-17
591407-22-181서울특별시 도봉구 방학제3동 465서울특별시 도봉구 방학제3동 465127.02453337.6623022007-09-21한전주02-2091-4083서울특별시 도봉구청2017-05-17
591507-16-191서울특별시 도봉구 방학제3동 430-1서울특별시 도봉구 방학제3동 430-1127.02784737.6648232008-01-01벽부등02-2091-4083서울특별시 도봉구청2017-05-17
591607-22-191서울특별시 도봉구 방학로17길 6서울특별시 도봉구 방학제3동 567-3127.02306337.6617612007-09-22벽부등02-2091-4083서울특별시 도봉구청2017-05-17
591707-22-201서울특별시 도봉구 방학제3동 468-2서울특별시 도봉구 방학제3동 468-2127.02340637.6616072007-09-23한전주02-2091-4083서울특별시 도봉구청2017-05-17