Overview

Dataset statistics

Number of variables16
Number of observations10000
Missing cells19406
Missing cells (%)12.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 MiB
Average record size in memory139.0 B

Variable types

Text6
Categorical7
Numeric3

Dataset

Description관리번호,자치구,와이파이명,도로명주소,상세주소,설치위치(층),설치유형,설치기관,서비스구분,망종류,설치년도,실내외구분,wifi접속환경,Y좌표,X좌표,작업일자
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-20883/S/1/datasetView.do

Alerts

설치유형 is highly overall correlated with 설치기관 and 2 other fieldsHigh correlation
설치기관 is highly overall correlated with 설치유형 and 2 other fieldsHigh correlation
서비스구분 is highly overall correlated with 설치유형 and 3 other fieldsHigh correlation
망종류 is highly overall correlated with 서비스구분High correlation
실내외구분 is highly overall correlated with 설치유형High correlation
작업일자 is highly overall correlated with 설치기관 and 1 other fieldsHigh correlation
도로명주소 has 354 (3.5%) missing valuesMissing
상세주소 has 354 (3.5%) missing valuesMissing
설치위치(층) has 9015 (90.1%) missing valuesMissing
wifi접속환경 has 9683 (96.8%) missing valuesMissing
Y좌표 is highly skewed (γ1 = -22.1676753)Skewed
X좌표 is highly skewed (γ1 = -21.02701674)Skewed
관리번호 has unique valuesUnique

Reproduction

Analysis started2024-05-17 21:54:14.604141
Analysis finished2024-05-17 21:54:26.771237
Duration12.17 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T06:54:27.102247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.2854
Min length7

Characters and Unicode

Total characters82854
Distinct characters36
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st row서울-0227
2nd rowWF201061
3rd row서울-3407-1
4th rowDB140012
5th row서울4차-2144-2
ValueCountFrequency (%)
서울-0227 1
 
< 0.1%
gs010020 1
 
< 0.1%
wf110207 1
 
< 0.1%
서울4차-3242 1
 
< 0.1%
서울-1028 1
 
< 0.1%
wn000688 1
 
< 0.1%
ddm000014 1
 
< 0.1%
gs030017 1
 
< 0.1%
gs180112 1
 
< 0.1%
mp010011 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-05-18T06:54:28.224202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 16521
19.9%
1 9887
11.9%
2 5974
 
7.2%
- 4651
 
5.6%
4 4478
 
5.4%
3 4072
 
4.9%
서 3343
 
4.0%
울 3343
 
4.0%
6 3209
 
3.9%
5 3153
 
3.8%
Other values (26) 24223
29.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 55409
66.9%
Uppercase Letter 14459
 
17.5%
Other Letter 8335
 
10.1%
Dash Punctuation 4651
 
5.6%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
W 2296
15.9%
S 2292
15.9%
F 1902
13.2%
G 1498
10.4%
B 1216
8.4%
D 1068
7.4%
N 663
 
4.6%
P 596
 
4.1%
R 465
 
3.2%
M 409
 
2.8%
Other values (10) 2054
14.2%
Decimal Number
ValueCountFrequency (%)
0 16521
29.8%
1 9887
17.8%
2 5974
 
10.8%
4 4478
 
8.1%
3 4072
 
7.3%
6 3209
 
5.8%
5 3153
 
5.7%
7 2882
 
5.2%
9 2805
 
5.1%
8 2428
 
4.4%
Other Letter
ValueCountFrequency (%)
서 3343
40.1%
울 3343
40.1%
차 1493
17.9%
경 78
 
0.9%
기 78
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 4651
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 60060
72.5%
Latin 14459
 
17.5%
Hangul 8335
 
10.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
W 2296
15.9%
S 2292
15.9%
F 1902
13.2%
G 1498
10.4%
B 1216
8.4%
D 1068
7.4%
N 663
 
4.6%
P 596
 
4.1%
R 465
 
3.2%
M 409
 
2.8%
Other values (10) 2054
14.2%
Common
ValueCountFrequency (%)
0 16521
27.5%
1 9887
16.5%
2 5974
 
9.9%
- 4651
 
7.7%
4 4478
 
7.5%
3 4072
 
6.8%
6 3209
 
5.3%
5 3153
 
5.2%
7 2882
 
4.8%
9 2805
 
4.7%
Hangul
ValueCountFrequency (%)
서 3343
40.1%
울 3343
40.1%
차 1493
17.9%
경 78
 
0.9%
기 78
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 74519
89.9%
Hangul 8335
 
10.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 16521
22.2%
1 9887
13.3%
2 5974
 
8.0%
- 4651
 
6.2%
4 4478
 
6.0%
3 4072
 
5.5%
6 3209
 
4.3%
5 3153
 
4.2%
7 2882
 
3.9%
9 2805
 
3.8%
Other values (21) 16887
22.7%
Hangul
ValueCountFrequency (%)
서 3343
40.1%
울 3343
40.1%
차 1493
17.9%
경 78
 
0.9%
기 78
 
0.9%

자치구
Categorical

Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
강서구
 
696
중구
 
613
성동구
 
495
은평구
 
483
노원구
 
482
Other values (21)
7231 

Length

Max length4
Median length3
Mean length3.039
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row중구
2nd row강동구
3rd row구로구
4th row도봉구
5th row금천구

Common Values

ValueCountFrequency (%)
강서구 696
 
7.0%
중구 613
 
6.1%
성동구 495
 
5.0%
은평구 483
 
4.8%
노원구 482
 
4.8%
마포구 478
 
4.8%
구로구 468
 
4.7%
강동구 463
 
4.6%
송파구 437
 
4.4%
양천구 430
 
4.3%
Other values (16) 4955
49.5%

Length

2024-05-18T06:54:28.726774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
강서구 696
 
7.0%
중구 613
 
6.1%
성동구 495
 
5.0%
은평구 483
 
4.8%
노원구 482
 
4.8%
마포구 478
 
4.8%
구로구 468
 
4.7%
강동구 463
 
4.6%
송파구 437
 
4.4%
양천구 430
 
4.3%
Other values (16) 4955
49.5%

와이파이명
Text

Distinct3698
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T06:54:29.344020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length7.7896
Min length2

Characters and Unicode

Total characters77896
Distinct characters614
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2273 ?
Unique (%)22.7%

Sample

1st row남대문시장
2nd row강일동주민센터
3rd row궁동종합사회복지관
4th row도봉2동
5th rowEM실천
ValueCountFrequency (%)
서울시청 208
 
1.9%
서소문제1청사 82
 
0.8%
에스플렉스센터 73
 
0.7%
본관 68
 
0.6%
여의도한강공원 67
 
0.6%
서울식물원 63
 
0.6%
서울대공원 61
 
0.6%
송파둘레길 52
 
0.5%
방범cctv 51
 
0.5%
및 47
 
0.4%
Other values (3808) 10080
92.9%
2024-05-18T06:54:30.606852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 2476
 
3.2%
터 1844
 
2.4%
소 1784
 
2.3%
센 1759
 
2.3%
원 1689
 
2.2%
지 1686
 
2.2%
구 1674
 
2.1%
서 1649
 
2.1%
관 1602
 
2.1%
청 1479
 
1.9%
Other values (604) 60254
77.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70914
91.0%
Decimal Number 2709
 
3.5%
Connector Punctuation 1109
 
1.4%
Uppercase Letter 1039
 
1.3%
Space Separator 852
 
1.1%
Open Punctuation 406
 
0.5%
Close Punctuation 406
 
0.5%
Other Punctuation 284
 
0.4%
Dash Punctuation 147
 
0.2%
Lowercase Letter 30
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2476
 
3.5%
터 1844
 
2.6%
소 1784
 
2.5%
센 1759
 
2.5%
원 1689
 
2.4%
지 1686
 
2.4%
구 1674
 
2.4%
서 1649
 
2.3%
관 1602
 
2.3%
청 1479
 
2.1%
Other values (550) 53272
75.1%
Uppercase Letter
ValueCountFrequency (%)
C 251
24.2%
P 238
22.9%
A 173
16.7%
T 100
 
9.6%
V 85
 
8.2%
D 71
 
6.8%
G 22
 
2.1%
K 16
 
1.5%
S 12
 
1.2%
F 12
 
1.2%
Other values (13) 59
 
5.7%
Decimal Number
ValueCountFrequency (%)
1 816
30.1%
2 571
21.1%
3 288
 
10.6%
4 239
 
8.8%
0 207
 
7.6%
5 161
 
5.9%
7 154
 
5.7%
6 113
 
4.2%
8 100
 
3.7%
9 60
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
u 9
30.0%
b 7
23.3%
s 3
 
10.0%
e 3
 
10.0%
o 2
 
6.7%
k 2
 
6.7%
l 1
 
3.3%
i 1
 
3.3%
t 1
 
3.3%
m 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 246
86.6%
# 16
 
5.6%
, 11
 
3.9%
/ 7
 
2.5%
& 2
 
0.7%
? 2
 
0.7%
Connector Punctuation
ValueCountFrequency (%)
_ 1109
100.0%
Space Separator
ValueCountFrequency (%)
852
100.0%
Open Punctuation
ValueCountFrequency (%)
( 406
100.0%
Close Punctuation
ValueCountFrequency (%)
) 406
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 147
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70914
91.0%
Common 5913
 
7.6%
Latin 1069
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2476
 
3.5%
터 1844
 
2.6%
소 1784
 
2.5%
센 1759
 
2.5%
원 1689
 
2.4%
지 1686
 
2.4%
구 1674
 
2.4%
서 1649
 
2.3%
관 1602
 
2.3%
청 1479
 
2.1%
Other values (550) 53272
75.1%
Latin
ValueCountFrequency (%)
C 251
23.5%
P 238
22.3%
A 173
16.2%
T 100
 
9.4%
V 85
 
8.0%
D 71
 
6.6%
G 22
 
2.1%
K 16
 
1.5%
S 12
 
1.1%
F 12
 
1.1%
Other values (23) 89
 
8.3%
Common
ValueCountFrequency (%)
_ 1109
18.8%
852
14.4%
1 816
13.8%
2 571
9.7%
( 406
 
6.9%
) 406
 
6.9%
3 288
 
4.9%
. 246
 
4.2%
4 239
 
4.0%
0 207
 
3.5%
Other values (11) 773
13.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70914
91.0%
ASCII 6982
 
9.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 2476
 
3.5%
터 1844
 
2.6%
소 1784
 
2.5%
센 1759
 
2.5%
원 1689
 
2.4%
지 1686
 
2.4%
구 1674
 
2.4%
서 1649
 
2.3%
관 1602
 
2.3%
청 1479
 
2.1%
Other values (550) 53272
75.1%
ASCII
ValueCountFrequency (%)
_ 1109
15.9%
852
12.2%
1 816
11.7%
2 571
 
8.2%
( 406
 
5.8%
) 406
 
5.8%
3 288
 
4.1%
C 251
 
3.6%
. 246
 
3.5%
4 239
 
3.4%
Other values (44) 1798
25.8%

도로명주소
Text

MISSING 

Distinct5236
Distinct (%)54.3%
Missing354
Missing (%)3.5%
Memory size156.2 KiB
2024-05-18T06:54:31.558603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length45
Mean length14.325524
Min length2

Characters and Unicode

Total characters138184
Distinct characters548
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3939 ?
Unique (%)40.8%

Sample

1st row서울특별시 중구 남창동 32-4
2nd row아리수로93길 9-14
3rd row서울특별시 구로구 오리로 22길 5
4th row도봉로168길 13(경민빌딩 앞)
5th row서울특별시 금천구 서부샛길 648 대륭테크노타운6차 1004,1009호
ValueCountFrequency (%)
서울특별시 3040
 
10.3%
서울시 493
 
1.7%
송파구 336
 
1.1%
노원구 305
 
1.0%
강동구 274
 
0.9%
도봉구 261
 
0.9%
광진구 257
 
0.9%
성북구 205
 
0.7%
중구 197
 
0.7%
마포구 178
 
0.6%
Other values (5980) 23852
81.1%
2024-05-18T06:54:33.131346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19868
 
14.4%
1 7606
 
5.5%
로 6927
 
5.0%
2 5297
 
3.8%
동 4602
 
3.3%
구 4571
 
3.3%
서 4444
 
3.2%
3 4262
 
3.1%
시 3897
 
2.8%
울 3725
 
2.7%
Other values (538) 72985
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 76044
55.0%
Decimal Number 36277
26.3%
Space Separator 19868
 
14.4%
Dash Punctuation 3228
 
2.3%
Open Punctuation 903
 
0.7%
Close Punctuation 899
 
0.7%
Other Punctuation 396
 
0.3%
Uppercase Letter 388
 
0.3%
Lowercase Letter 137
 
0.1%
Math Symbol 22
 
< 0.1%
Other values (2) 22
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 6927
 
9.1%
동 4602
 
6.1%
구 4571
 
6.0%
서 4444
 
5.8%
시 3897
 
5.1%
울 3725
 
4.9%
길 3312
 
4.4%
별 3142
 
4.1%
특 3041
 
4.0%
산 1125
 
1.5%
Other values (478) 37258
49.0%
Uppercase Letter
ValueCountFrequency (%)
C 102
26.3%
P 52
13.4%
F 42
10.8%
A 42
10.8%
T 34
 
8.8%
V 31
 
8.0%
B 14
 
3.6%
L 12
 
3.1%
E 11
 
2.8%
O 10
 
2.6%
Other values (12) 38
 
9.8%
Lowercase Letter
ValueCountFrequency (%)
t 41
29.9%
i 33
24.1%
y 33
24.1%
c 10
 
7.3%
v 5
 
3.6%
d 4
 
2.9%
g 3
 
2.2%
o 3
 
2.2%
p 1
 
0.7%
w 1
 
0.7%
Other values (3) 3
 
2.2%
Decimal Number
ValueCountFrequency (%)
1 7606
21.0%
2 5297
14.6%
3 4262
11.7%
5 3324
9.2%
4 3302
9.1%
6 2993
 
8.3%
0 2476
 
6.8%
7 2431
 
6.7%
8 2373
 
6.5%
9 2213
 
6.1%
Other Punctuation
ValueCountFrequency (%)
, 285
72.0%
. 80
 
20.2%
# 12
 
3.0%
/ 8
 
2.0%
& 5
 
1.3%
; 4
 
1.0%
? 2
 
0.5%
Math Symbol
ValueCountFrequency (%)
~ 20
90.9%
+ 2
 
9.1%
Space Separator
ValueCountFrequency (%)
19868
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3228
100.0%
Open Punctuation
ValueCountFrequency (%)
( 903
100.0%
Close Punctuation
ValueCountFrequency (%)
) 899
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 21
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 76044
55.0%
Common 61615
44.6%
Latin 525
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 6927
 
9.1%
동 4602
 
6.1%
구 4571
 
6.0%
서 4444
 
5.8%
시 3897
 
5.1%
울 3725
 
4.9%
길 3312
 
4.4%
별 3142
 
4.1%
특 3041
 
4.0%
산 1125
 
1.5%
Other values (478) 37258
49.0%
Latin
ValueCountFrequency (%)
C 102
19.4%
P 52
9.9%
F 42
8.0%
A 42
8.0%
t 41
7.8%
T 34
 
6.5%
i 33
 
6.3%
y 33
 
6.3%
V 31
 
5.9%
B 14
 
2.7%
Other values (25) 101
19.2%
Common
ValueCountFrequency (%)
19868
32.2%
1 7606
 
12.3%
2 5297
 
8.6%
3 4262
 
6.9%
5 3324
 
5.4%
4 3302
 
5.4%
- 3228
 
5.2%
6 2993
 
4.9%
0 2476
 
4.0%
7 2431
 
3.9%
Other values (15) 6828
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 76044
55.0%
ASCII 62140
45.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19868
32.0%
1 7606
 
12.2%
2 5297
 
8.5%
3 4262
 
6.9%
5 3324
 
5.3%
4 3302
 
5.3%
- 3228
 
5.2%
6 2993
 
4.8%
0 2476
 
4.0%
7 2431
 
3.9%
Other values (50) 7353
 
11.8%
Hangul
ValueCountFrequency (%)
로 6927
 
9.1%
동 4602
 
6.1%
구 4571
 
6.0%
서 4444
 
5.8%
시 3897
 
5.1%
울 3725
 
4.9%
길 3312
 
4.4%
별 3142
 
4.1%
특 3041
 
4.0%
산 1125
 
1.5%
Other values (478) 37258
49.0%

상세주소
Text

MISSING 

Distinct8052
Distinct (%)83.5%
Missing354
Missing (%)3.5%
Memory size156.2 KiB
2024-05-18T06:54:33.929556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length41
Mean length11.228592
Min length1

Characters and Unicode

Total characters108311
Distinct characters736
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7276 ?
Unique (%)75.4%

Sample

1st row남대문 시장 (옥외22)
2nd row엘레베이앞 복도
3rd row궁동종합사회복지관 (옥내2)
4th rowC1084
5th row10F_설비실안_3
ValueCountFrequency (%)
2층 428
 
2.1%
3층 385
 
1.9%
1층 379
 
1.9%
cctv 349
 
1.7%
앞 347
 
1.7%
복도 336
 
1.7%
옥내1 266
 
1.3%
4층 229
 
1.1%
본관 164
 
0.8%
지하1층 133
 
0.7%
Other values (7661) 17039
85.0%
2024-05-18T06:54:35.267412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10524
 
9.7%
1 6360
 
5.9%
2 3997
 
3.7%
) 3204
 
3.0%
( 3196
 
3.0%
3 2886
 
2.7%
층 2717
 
2.5%
- 2338
 
2.2%
0 2188
 
2.0%
_ 2187
 
2.0%
Other values (726) 68714
63.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 57635
53.2%
Decimal Number 23290
21.5%
Space Separator 10524
 
9.7%
Uppercase Letter 4608
 
4.3%
Close Punctuation 3204
 
3.0%
Open Punctuation 3196
 
3.0%
Dash Punctuation 2338
 
2.2%
Connector Punctuation 2187
 
2.0%
Lowercase Letter 889
 
0.8%
Other Punctuation 405
 
0.4%
Other values (4) 35
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
층 2717
 
4.7%
옥 1953
 
3.4%
동 1629
 
2.8%
관 1486
 
2.6%
내 1308
 
2.3%
지 1294
 
2.2%
실 1271
 
2.2%
장 1144
 
2.0%
로 1078
 
1.9%
복 1077
 
1.9%
Other values (649) 42678
74.0%
Uppercase Letter
ValueCountFrequency (%)
C 1254
27.2%
F 1192
25.9%
T 603
13.1%
V 572
12.4%
B 254
 
5.5%
P 194
 
4.2%
A 126
 
2.7%
S 73
 
1.6%
E 49
 
1.1%
N 47
 
1.0%
Other values (14) 244
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
c 321
36.1%
t 167
18.8%
v 154
17.3%
b 42
 
4.7%
u 29
 
3.3%
p 27
 
3.0%
g 26
 
2.9%
i 24
 
2.7%
o 16
 
1.8%
f 15
 
1.7%
Other values (12) 68
 
7.6%
Decimal Number
ValueCountFrequency (%)
1 6360
27.3%
2 3997
17.2%
3 2886
12.4%
0 2188
 
9.4%
4 1934
 
8.3%
5 1584
 
6.8%
6 1300
 
5.6%
7 1111
 
4.8%
8 1032
 
4.4%
9 898
 
3.9%
Other Punctuation
ValueCountFrequency (%)
, 243
60.0%
. 63
 
15.6%
# 36
 
8.9%
/ 32
 
7.9%
: 11
 
2.7%
; 7
 
1.7%
& 7
 
1.7%
? 4
 
1.0%
* 1
 
0.2%
@ 1
 
0.2%
Other Symbol
ValueCountFrequency (%)
▲ 4
57.1%
㈜ 2
28.6%
★ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
10524
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3204
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3196
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2338
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2187
100.0%
Math Symbol
ValueCountFrequency (%)
~ 23
100.0%
Control
ValueCountFrequency (%)
4
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 57635
53.2%
Common 45177
41.7%
Latin 5497
 
5.1%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
층 2717
 
4.7%
옥 1953
 
3.4%
동 1629
 
2.8%
관 1486
 
2.6%
내 1308
 
2.3%
지 1294
 
2.2%
실 1271
 
2.2%
장 1144
 
2.0%
로 1078
 
1.9%
복 1077
 
1.9%
Other values (648) 42678
74.0%
Latin
ValueCountFrequency (%)
C 1254
22.8%
F 1192
21.7%
T 603
11.0%
V 572
10.4%
c 321
 
5.8%
B 254
 
4.6%
P 194
 
3.5%
t 167
 
3.0%
v 154
 
2.8%
A 126
 
2.3%
Other values (36) 660
12.0%
Common
ValueCountFrequency (%)
10524
23.3%
1 6360
14.1%
2 3997
 
8.8%
) 3204
 
7.1%
( 3196
 
7.1%
3 2886
 
6.4%
- 2338
 
5.2%
0 2188
 
4.8%
_ 2187
 
4.8%
4 1934
 
4.3%
Other values (20) 6363
14.1%
Han
ValueCountFrequency (%)
女 1
50.0%
熱 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 57630
53.2%
ASCII 50669
46.8%
Geometric Shapes 4
 
< 0.1%
Compat Jamo 3
 
< 0.1%
None 2
 
< 0.1%
CJK 2
 
< 0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10524
20.8%
1 6360
12.6%
2 3997
 
7.9%
) 3204
 
6.3%
( 3196
 
6.3%
3 2886
 
5.7%
- 2338
 
4.6%
0 2188
 
4.3%
_ 2187
 
4.3%
4 1934
 
3.8%
Other values (64) 11855
23.4%
Hangul
ValueCountFrequency (%)
층 2717
 
4.7%
옥 1953
 
3.4%
동 1629
 
2.8%
관 1486
 
2.6%
내 1308
 
2.3%
지 1294
 
2.2%
실 1271
 
2.2%
장 1144
 
2.0%
로 1078
 
1.9%
복 1077
 
1.9%
Other values (646) 42673
74.0%
Geometric Shapes
ValueCountFrequency (%)
▲ 4
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅎ 3
100.0%
None
ValueCountFrequency (%)
㈜ 2
100.0%
Misc Symbols
ValueCountFrequency (%)
★ 1
100.0%
CJK
ValueCountFrequency (%)
女 1
50.0%
熱 1
50.0%

설치위치(층)
Text

MISSING 

Distinct74
Distinct (%)7.5%
Missing9015
Missing (%)90.1%
Memory size156.2 KiB
2024-05-18T06:54:35.772765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length2
Mean length1.9005076
Min length1

Characters and Unicode

Total characters1872
Distinct characters53
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

Unique34 ?
Unique (%)3.5%

Sample

1st row2F
2nd rowB1층
3rd row1층
4th row4층
5th row지하1층
ValueCountFrequency (%)
121
 
12.2%
2층 88
 
8.9%
1층 88
 
8.9%
1f 71
 
7.1%
1 64
 
6.4%
3층 59
 
5.9%
2f 48
 
4.8%
4층 46
 
4.6%
2 39
 
3.9%
3 35
 
3.5%
Other values (65) 335
33.7%
2024-05-18T06:54:36.854666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
층 347
18.5%
1 298
15.9%
F 227
12.1%
2 198
10.6%
3 135
 
7.2%
- 125
 
6.7%
4 102
 
5.4%
B 44
 
2.4%
6 41
 
2.2%
5 36
 
1.9%
Other values (43) 319
17.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 886
47.3%
Other Letter 578
30.9%
Uppercase Letter 271
 
14.5%
Dash Punctuation 125
 
6.7%
Space Separator 9
 
0.5%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
층 347
60.0%
지 35
 
6.1%
실 20
 
3.5%
하 19
 
3.3%
외 17
 
2.9%
방 13
 
2.2%
범 10
 
1.7%
트 8
 
1.4%
단 8
 
1.4%
스 8
 
1.4%
Other values (26) 93
 
16.1%
Decimal Number
ValueCountFrequency (%)
1 298
33.6%
2 198
22.3%
3 135
15.2%
4 102
 
11.5%
6 41
 
4.6%
5 36
 
4.1%
7 25
 
2.8%
8 18
 
2.0%
0 18
 
2.0%
9 15
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
F 227
83.8%
B 44
 
16.2%
Dash Punctuation
ValueCountFrequency (%)
- 125
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1023
54.6%
Hangul 578
30.9%
Latin 271
 
14.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
층 347
60.0%
지 35
 
6.1%
실 20
 
3.5%
하 19
 
3.3%
외 17
 
2.9%
방 13
 
2.2%
범 10
 
1.7%
트 8
 
1.4%
단 8
 
1.4%
스 8
 
1.4%
Other values (26) 93
 
16.1%
Common
ValueCountFrequency (%)
1 298
29.1%
2 198
19.4%
3 135
13.2%
- 125
12.2%
4 102
 
10.0%
6 41
 
4.0%
5 36
 
3.5%
7 25
 
2.4%
8 18
 
1.8%
0 18
 
1.8%
Other values (5) 27
 
2.6%
Latin
ValueCountFrequency (%)
F 227
83.8%
B 44
 
16.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1294
69.1%
Hangul 578
30.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
층 347
60.0%
지 35
 
6.1%
실 20
 
3.5%
하 19
 
3.3%
외 17
 
2.9%
방 13
 
2.2%
범 10
 
1.7%
트 8
 
1.4%
단 8
 
1.4%
스 8
 
1.4%
Other values (26) 93
 
16.1%
ASCII
ValueCountFrequency (%)
1 298
23.0%
F 227
17.5%
2 198
15.3%
3 135
10.4%
- 125
9.7%
4 102
 
7.9%
B 44
 
3.4%
6 41
 
3.2%
5 36
 
2.8%
7 25
 
1.9%
Other values (7) 63
 
4.9%

설치유형
Categorical

HIGH CORRELATION 

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1. 주요거리
1748 
3. 공원(하천)
1445 
4. 문화관광
861 
7-2-1. 공공 - 구청사 및 별관
641 
7-2-3. 공공 - 동주민센터
637 
Other values (19)
4668 

Length

Max length21
Median length17
Mean length11.8853
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4. 문화관광
2nd row7-2-3. 공공 - 동주민센터
3rd row6-1. 복지 - 사회
4th row1. 주요거리
5th row6-3. 복지 - 장애인

Common Values

ValueCountFrequency (%)
1. 주요거리 1748
17.5%
3. 공원(하천) 1445
14.4%
4. 문화관광 861
8.6%
7-2-1. 공공 - 구청사 및 별관 641
 
6.4%
7-2-3. 공공 - 동주민센터 637
 
6.4%
5-1. 버스정류소(국비) 623
 
6.2%
6-1. 복지 - 사회 621
 
6.2%
6-4. 복지 - 아동청소년 504
 
5.0%
6-2. 복지 - 노인 484
 
4.8%
7-1-3. 공공 - 시산하기관 416
 
4.2%
Other values (14) 2020
20.2%

Length

2024-05-18T06:54:37.453575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
4555
 
14.7%
공공 2513
 
8.1%
복지 2042
 
6.6%
1 1748
 
5.7%
주요거리 1748
 
5.7%
3 1472
 
4.8%
공원(하천 1445
 
4.7%
및 905
 
2.9%
4 861
 
2.8%
문화관광 861
 
2.8%
Other values (41) 12770
41.3%

설치기관
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
자치구
2724 
서울시(AP)
2068 
디지털뉴딜(LG U+)
1929 
디지털뉴딜(KT)
1492 
자치구에스넷1차
775 
Other values (5)
1012 

Length

Max length12
Median length9
Mean length7.4441
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row디지털뉴딜(KT)
2nd row서울시(AP)
3rd row디지털뉴딜(KT)
4th row자치구에스넷1차
5th row디지털뉴딜(LG U+)

Common Values

ValueCountFrequency (%)
자치구 2724
27.2%
서울시(AP) 2068
20.7%
디지털뉴딜(LG U+) 1929
19.3%
디지털뉴딜(KT) 1492
14.9%
자치구에스넷1차 775
 
7.8%
버스정류소(국비) 623
 
6.2%
버스정류소(시비) 298
 
3.0%
서울시(공유기) 75
 
0.8%
서울시(LTE) 10
 
0.1%
자치구(공유기) 6
 
0.1%

Length

2024-05-18T06:54:37.996619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T06:54:38.451036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자치구 2724
22.8%
서울시(ap 2068
17.3%
디지털뉴딜(lg 1929
16.2%
u 1929
16.2%
디지털뉴딜(kt 1492
12.5%
자치구에스넷1차 775
 
6.5%
버스정류소(국비 623
 
5.2%
버스정류소(시비 298
 
2.5%
서울시(공유기 75
 
0.6%
서울시(lte 10
 
0.1%

서비스구분
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
공공WiFi
6377 
과기부WiFi(핫플레이스)
984 
과기부WiFi(복지시설)
944 
<NA>
805 
과기부WiFi
 
623

Length

Max length14
Median length6
Mean length7.3493
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row과기부WiFi(핫플레이스)
2nd row공공WiFi
3rd row과기부WiFi(복지시설)
4th row공공Wifi
5th row공공WiFi

Common Values

ValueCountFrequency (%)
공공WiFi 6377
63.8%
과기부WiFi(핫플레이스) 984
 
9.8%
과기부WiFi(복지시설) 944
 
9.4%
<NA> 805
 
8.1%
과기부WiFi 623
 
6.2%
공공Wifi 267
 
2.7%

Length

2024-05-18T06:54:39.054811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T06:54:39.497392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공wifi 6644
66.4%
과기부wifi(핫플레이스 984
 
9.8%
과기부wifi(복지시설 944
 
9.4%
na 805
 
8.1%
과기부wifi 623
 
6.2%

망종류
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
인터넷망_뉴딜용
3421 
자가망_U무선망
3246 
임대망
1797 
<NA>
488 
자가망U-무선망
 
290
Other values (8)
758 

Length

Max length24
Median length8
Mean length6.8457
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row인터넷망_뉴딜용
2nd row자가망_U무선망
3rd row인터넷망_뉴딜용
4th row자가망U-무선망
5th row인터넷망_뉴딜용

Common Values

ValueCountFrequency (%)
인터넷망_뉴딜용 3421
34.2%
자가망_U무선망 3246
32.5%
임대망 1797
18.0%
<NA> 488
 
4.9%
자가망U-무선망 290
 
2.9%
자가망 207
 
2.1%
자가망U무선망 132
 
1.3%
자가망(U-무선망) 119
 
1.2%
인터넷망_기관자체 107
 
1.1%
자가망_수도사업소망 84
 
0.8%
Other values (3) 109
 
1.1%

Length

2024-05-18T06:54:39.882906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
인터넷망_뉴딜용 3421
34.2%
자가망_u무선망 3246
32.4%
임대망 1797
18.0%
na 488
 
4.9%
자가망u-무선망 290
 
2.9%
자가망 207
 
2.1%
자가망u무선망 132
 
1.3%
자가망(u-무선망 119
 
1.2%
인터넷망_기관자체 107
 
1.1%
자가망_수도사업소망 84
 
0.8%
Other values (5) 115
 
1.1%

설치년도
Real number (ℝ)

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2020.5283
Minimum2011
Maximum2024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T06:54:40.214120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2011
5-th percentile2017
Q12019
median2021
Q32022
95-th percentile2023
Maximum2024
Range13
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.002848
Coefficient of variation (CV)0.00099124968
Kurtosis1.3592119
Mean2020.5283
Median Absolute Deviation (MAD)1
Skewness-1.1544068
Sum20205283
Variance4.0114003
MonotonicityNot monotonic
2024-05-18T06:54:40.775023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2022 3543
35.4%
2020 1500
15.0%
2021 1404
 
14.0%
2019 1130
 
11.3%
2023 885
 
8.8%
2017 668
 
6.7%
2018 519
 
5.2%
2016 142
 
1.4%
2013 65
 
0.7%
2015 64
 
0.6%
Other values (4) 80
 
0.8%
ValueCountFrequency (%)
2011 9
 
0.1%
2012 5
 
0.1%
2013 65
 
0.7%
2014 49
 
0.5%
2015 64
 
0.6%
2016 142
 
1.4%
2017 668
6.7%
2018 519
 
5.2%
2019 1130
11.3%
2020 1500
15.0%
ValueCountFrequency (%)
2024 17
 
0.2%
2023 885
 
8.8%
2022 3543
35.4%
2021 1404
 
14.0%
2020 1500
15.0%
2019 1130
 
11.3%
2018 519
 
5.2%
2017 668
 
6.7%
2016 142
 
1.4%
2015 64
 
0.6%

실내외구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
실내
5220 
실외
4778 
실회
 
1
<NA>
 
1

Length

Max length4
Median length2
Mean length2.0002
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row실외
2nd row실내
3rd row실내
4th row실외
5th row실내

Common Values

ValueCountFrequency (%)
실내 5220
52.2%
실외 4778
47.8%
실회 1
 
< 0.1%
<NA> 1
 
< 0.1%

Length

2024-05-18T06:54:41.343488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T06:54:41.739674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실내 5220
52.2%
실외 4778
47.8%
실회 1
 
< 0.1%
na 1
 
< 0.1%

wifi접속환경
Text

MISSING 

Distinct86
Distinct (%)27.1%
Missing9683
Missing (%)96.8%
Memory size156.2 KiB
2024-05-18T06:54:42.255481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length27
Mean length24.495268
Min length4

Characters and Unicode

Total characters7765
Distinct characters69
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique83 ?
Unique (%)26.2%

Sample

1st row보안접속 임시적용(머큐리 Proxy 서버 개발중)
2nd row보안접속 임시적용(머큐리 Proxy 서버 개발중)
3rd row보안접속 임시적용(머큐리 Proxy 서버 개발중)
4th row보안접속 임시적용(머큐리 Proxy 서버 개발중)
5th row6.20~6.24 Proxy 서버개발 후 2~3개 임시적용 후 6월말 CNS링크 전체 적용 예정
ValueCountFrequency (%)
proxy 206
12.9%
보안접속 150
 
9.4%
서버 150
 
9.4%
개발중 150
 
9.4%
임시적용(머큐리 150
 
9.4%
후 112
 
7.0%
6월말 56
 
3.5%
예정 56
 
3.5%
전체 56
 
3.5%
cns링크 56
 
3.5%
Other values (95) 451
28.3%
2024-05-18T06:54:43.296973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1276
 
16.4%
적 262
 
3.4%
용 262
 
3.4%
개 262
 
3.4%
6 211
 
2.7%
발 206
 
2.7%
y 206
 
2.7%
x 206
 
2.7%
o 206
 
2.7%
r 206
 
2.7%
Other values (59) 4462
57.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3642
46.9%
Space Separator 1276
 
16.4%
Decimal Number 842
 
10.8%
Lowercase Letter 826
 
10.6%
Uppercase Letter 623
 
8.0%
Close Punctuation 150
 
1.9%
Open Punctuation 150
 
1.9%
Other Punctuation 143
 
1.8%
Math Symbol 112
 
1.4%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
적 262
 
7.2%
용 262
 
7.2%
개 262
 
7.2%
발 206
 
5.7%
버 206
 
5.7%
시 206
 
5.7%
임 206
 
5.7%
서 206
 
5.7%
중 150
 
4.1%
안 150
 
4.1%
Other values (26) 1526
41.9%
Decimal Number
ValueCountFrequency (%)
6 211
25.1%
2 189
22.4%
0 144
17.1%
1 80
 
9.5%
4 74
 
8.8%
3 73
 
8.7%
5 21
 
2.5%
8 21
 
2.5%
7 15
 
1.8%
9 14
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
P 206
33.1%
H 81
 
13.0%
I 56
 
9.0%
C 56
 
9.0%
S 56
 
9.0%
N 56
 
9.0%
E 28
 
4.5%
F 28
 
4.5%
W 28
 
4.5%
G 28
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
y 206
24.9%
x 206
24.9%
o 206
24.9%
r 206
24.9%
i 1
 
0.1%
p 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
. 115
80.4%
, 28
 
19.6%
Space Separator
ValueCountFrequency (%)
1276
100.0%
Close Punctuation
ValueCountFrequency (%)
) 150
100.0%
Open Punctuation
ValueCountFrequency (%)
( 150
100.0%
Math Symbol
ValueCountFrequency (%)
~ 112
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3642
46.9%
Common 2674
34.4%
Latin 1449
 
18.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
적 262
 
7.2%
용 262
 
7.2%
개 262
 
7.2%
발 206
 
5.7%
버 206
 
5.7%
시 206
 
5.7%
임 206
 
5.7%
서 206
 
5.7%
중 150
 
4.1%
안 150
 
4.1%
Other values (26) 1526
41.9%
Common
ValueCountFrequency (%)
1276
47.7%
6 211
 
7.9%
2 189
 
7.1%
) 150
 
5.6%
( 150
 
5.6%
0 144
 
5.4%
. 115
 
4.3%
~ 112
 
4.2%
1 80
 
3.0%
4 74
 
2.8%
Other values (7) 173
 
6.5%
Latin
ValueCountFrequency (%)
y 206
14.2%
x 206
14.2%
o 206
14.2%
r 206
14.2%
P 206
14.2%
H 81
 
5.6%
I 56
 
3.9%
C 56
 
3.9%
S 56
 
3.9%
N 56
 
3.9%
Other values (6) 114
7.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4123
53.1%
Hangul 3642
46.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1276
30.9%
6 211
 
5.1%
y 206
 
5.0%
x 206
 
5.0%
o 206
 
5.0%
r 206
 
5.0%
P 206
 
5.0%
2 189
 
4.6%
) 150
 
3.6%
( 150
 
3.6%
Other values (23) 1117
27.1%
Hangul
ValueCountFrequency (%)
적 262
 
7.2%
용 262
 
7.2%
개 262
 
7.2%
발 206
 
5.7%
버 206
 
5.7%
시 206
 
5.7%
임 206
 
5.7%
서 206
 
5.7%
중 150
 
4.1%
안 150
 
4.1%
Other values (26) 1526
41.9%

Y좌표
Real number (ℝ)

SKEWED 

Distinct5791
Distinct (%)57.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.478255
Minimum0
Maximum44.498795
Zeros20
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T06:54:43.996250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile37.471109
Q137.513492
median37.5524
Q337.580082
95-th percentile37.651115
Maximum44.498795
Range44.498795
Interquartile range (IQR)0.0665895

Descriptive statistics

Standard deviation1.6808397
Coefficient of variation (CV)0.044848398
Kurtosis491.74251
Mean37.478255
Median Absolute Deviation (MAD)0.03488
Skewness-22.167675
Sum374782.55
Variance2.8252221
MonotonicityNot monotonic
2024-05-18T06:54:44.468544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.57596 72
 
0.7%
37.566166 55
 
0.5%
37.56689 53
 
0.5%
37.564327 45
 
0.4%
37.51752 40
 
0.4%
37.49543 40
 
0.4%
37.56388 38
 
0.4%
37.53235 37
 
0.4%
37.48357 35
 
0.4%
37.51549 34
 
0.3%
Other values (5781) 9551
95.5%
ValueCountFrequency (%)
0.0 20
0.2%
37.183975 1
 
< 0.1%
37.421085 1
 
< 0.1%
37.421715 1
 
< 0.1%
37.42228 1
 
< 0.1%
37.42276 1
 
< 0.1%
37.423004 4
 
< 0.1%
37.4233 1
 
< 0.1%
37.42359 2
 
< 0.1%
37.424046 3
 
< 0.1%
ValueCountFrequency (%)
44.498795 1
 
< 0.1%
42.498795 1
 
< 0.1%
37.691822 1
 
< 0.1%
37.69035 1
 
< 0.1%
37.688812 1
 
< 0.1%
37.6888 1
 
< 0.1%
37.688656 1
 
< 0.1%
37.68857 1
 
< 0.1%
37.687523 1
 
< 0.1%
37.68709 6
0.1%

X좌표
Real number (ℝ)

SKEWED 

Distinct5643
Distinct (%)56.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.75429
Minimum0
Maximum172.01723
Zeros20
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T06:54:44.878807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile126.83668
Q1126.90843
median126.9906
Q3127.0528
95-th percentile127.12579
Maximum172.01723
Range172.01723
Interquartile range (IQR)0.14437275

Descriptive statistics

Standard deviation5.7645263
Coefficient of variation (CV)0.045477959
Kurtosis466.77668
Mean126.75429
Median Absolute Deviation (MAD)0.07201
Skewness-21.027017
Sum1267542.9
Variance33.229763
MonotonicityNot monotonic
2024-05-18T06:54:45.362851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.89058 72
 
0.7%
126.901665 54
 
0.5%
126.978355 53
 
0.5%
126.97565 46
 
0.5%
127.04746 41
 
0.4%
126.908264 40
 
0.4%
126.88751 40
 
0.4%
126.987915 37
 
0.4%
127.0327 35
 
0.4%
127.047066 34
 
0.3%
Other values (5633) 9548
95.5%
ValueCountFrequency (%)
0.0 20
0.2%
126.53178 1
 
< 0.1%
126.6479 1
 
< 0.1%
126.79565 3
 
< 0.1%
126.79856 1
 
< 0.1%
126.798874 1
 
< 0.1%
126.79918 1
 
< 0.1%
126.799866 1
 
< 0.1%
126.80035 1
 
< 0.1%
126.80308 3
 
< 0.1%
ValueCountFrequency (%)
172.01723 5
0.1%
133.99052 1
 
< 0.1%
131.99052 1
 
< 0.1%
127.48852 1
 
< 0.1%
127.17972 1
 
< 0.1%
127.17834 1
 
< 0.1%
127.17623 1
 
< 0.1%
127.17605 1
 
< 0.1%
127.17604 1
 
< 0.1%
127.17596 1
 
< 0.1%

작업일자
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-17 11:13:02.0
766 
2024-05-17 11:12:59.0
719 
2024-05-17 11:12:53.0
716 
2024-05-17 11:13:00.0
712 
2024-05-17 11:12:56.0
705 
Other values (10)
6382 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-05-17 11:13:02.0
2nd row2024-05-17 11:13:00.0
3rd row2024-05-17 11:13:03.0
4th row2024-05-17 11:12:53.0
5th row2024-05-17 11:13:05.0

Common Values

ValueCountFrequency (%)
2024-05-17 11:13:02.0 766
 
7.7%
2024-05-17 11:12:59.0 719
 
7.2%
2024-05-17 11:12:53.0 716
 
7.2%
2024-05-17 11:13:00.0 712
 
7.1%
2024-05-17 11:12:56.0 705
 
7.0%
2024-05-17 11:12:57.0 703
 
7.0%
2024-05-17 11:13:05.0 691
 
6.9%
2024-05-17 11:13:01.0 684
 
6.8%
2024-05-17 11:13:04.0 683
 
6.8%
2024-05-17 11:12:58.0 680
 
6.8%
Other values (5) 2941
29.4%

Length

2024-05-18T06:54:45.971309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2024-05-17 10000
50.0%
11:13:02.0 766
 
3.8%
11:12:59.0 719
 
3.6%
11:12:53.0 716
 
3.6%
11:13:00.0 712
 
3.6%
11:12:56.0 705
 
3.5%
11:12:57.0 703
 
3.5%
11:13:05.0 691
 
3.5%
11:13:01.0 684
 
3.4%
11:13:04.0 683
 
3.4%
Other values (6) 3621
 
18.1%

Interactions

2024-05-18T06:54:24.280288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T06:54:22.693427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T06:54:23.500335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T06:54:24.556175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T06:54:22.965429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T06:54:23.768853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T06:54:24.813595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T06:54:23.221233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T06:54:24.014593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-18T06:54:46.366489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자치구설치위치(층)설치유형설치기관서비스구분망종류설치년도실내외구분wifi접속환경Y좌표X좌표작업일자
자치구1.0000.9080.5890.5830.7170.8180.6060.2560.0000.1880.2410.786
설치위치(층)0.9081.0000.7140.9120.6160.7840.6890.965NaN0.0000.0000.903
설치유형0.5890.7141.0000.8850.8660.7550.7040.8900.6330.1040.2180.794
설치기관0.5830.9120.8851.0000.9440.7570.8600.5221.0000.0760.0840.902
서비스구분0.7170.6160.8660.9441.0000.8100.8000.4550.9970.1340.1340.931
망종류0.8180.7840.7550.7570.8101.0000.6780.2721.0000.2860.2870.797
설치년도0.6060.6890.7040.8600.8000.6781.0000.3401.0000.0390.0900.784
실내외구분0.2560.9650.8900.5220.4550.2720.3401.0000.9990.0910.0990.565
wifi접속환경0.000NaN0.6331.0000.9971.0001.0000.9991.0001.0001.0000.952
Y좌표0.1880.0000.1040.0760.1340.2860.0390.0911.0001.0000.9430.157
X좌표0.2410.0000.2180.0840.1340.2870.0900.0991.0000.9431.0000.192
작업일자0.7860.9030.7940.9020.9310.7970.7840.5650.9520.1570.1921.000
2024-05-18T06:54:46.922870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
실내외구분자치구작업일자설치유형서비스구분설치기관망종류
실내외구분1.0000.1340.3120.6640.3860.3670.127
자치구0.1341.0000.3690.1850.4410.2530.438
작업일자0.3120.3691.0000.3790.6690.6190.444
설치유형0.6640.1850.3791.0000.6400.5840.319
서비스구분0.3860.4410.6690.6401.0000.6790.617
설치기관0.3670.2530.6190.5840.6791.0000.448
망종류0.1270.4380.4440.3190.6170.4481.000
2024-05-18T06:54:47.482598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치년도Y좌표X좌표자치구설치유형설치기관서비스구분망종류실내외구분작업일자
설치년도1.000-0.0350.1370.2690.3470.4340.4570.3680.2180.430
Y좌표-0.0351.0000.2140.0970.0470.0450.1010.1340.0270.071
X좌표0.1370.2141.0000.1260.1020.0490.1010.1340.0290.088
자치구0.2690.0970.1261.0000.1850.2530.4410.4380.1340.369
설치유형0.3470.0470.1020.1851.0000.5840.6400.3190.6640.379
설치기관0.4340.0450.0490.2530.5841.0000.6790.4480.3670.619
서비스구분0.4570.1010.1010.4410.6400.6791.0000.6170.3860.669
망종류0.3680.1340.1340.4380.3190.4480.6171.0000.1270.444
실내외구분0.2180.0270.0290.1340.6640.3670.3860.1271.0000.312
작업일자0.4300.0710.0880.3690.3790.6190.6690.4440.3121.000

Missing values

2024-05-18T06:54:25.286243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-18T06:54:25.950856image/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.
2024-05-18T06:54:26.508975image/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

관리번호자치구와이파이명도로명주소상세주소설치위치(층)설치유형설치기관서비스구분망종류설치년도실내외구분wifi접속환경Y좌표X좌표작업일자
16616서울-0227중구남대문시장서울특별시 중구 남창동 32-4남대문 시장 (옥외22)<NA>4. 문화관광디지털뉴딜(KT)과기부WiFi(핫플레이스)인터넷망_뉴딜용2022실외<NA>37.560146126.9774252024-05-17 11:13:02.0
14021WF201061강동구강일동주민센터아리수로93길 9-14엘레베이앞 복도<NA>7-2-3. 공공 - 동주민센터서울시(AP)공공WiFi자가망_U무선망2020실내<NA>37.56504127.17382024-05-17 11:13:00.0
19346서울-3407-1구로구궁동종합사회복지관서울특별시 구로구 오리로 22길 5궁동종합사회복지관 (옥내2)<NA>6-1. 복지 - 사회디지털뉴딜(KT)과기부WiFi(복지시설)인터넷망_뉴딜용2022실내<NA>37.499134126.829572024-05-17 11:13:03.0
2045DB140012도봉구도봉2동도봉로168길 13(경민빌딩 앞)C1084<NA>1. 주요거리자치구에스넷1차공공Wifi자가망U-무선망2020실외<NA>37.678104127.045732024-05-17 11:12:53.0
21661서울4차-2144-2금천구EM실천서울특별시 금천구 서부샛길 648 대륭테크노타운6차 1004,1009호10F_설비실안_3<NA>6-3. 복지 - 장애인디지털뉴딜(LG U+)공공WiFi인터넷망_뉴딜용2022실내<NA>37.481197126.876182024-05-17 11:13:05.0
305BS100086강남구버스정류소_일원본동주민센터일원동 735-123-384<NA>5-1. 버스정류소(국비)버스정류소(국비)과기부WiFi임대망2021실외<NA>37.483383127.0859762024-05-17 11:12:52.0
13225WF190525동대문구동부아동복지센터답십리로 69길 106본관1층 101호앞복도<NA>6-4. 복지 - 아동청소년서울시(AP)공공WiFi임대망2019실내<NA>37.577057127.075292024-05-17 11:13:00.0
22886서울4차-5937영등포구영신고등학교서울특별시 영등포구 대방천로14길 18영신고등학교 주변 cctv_3<NA>1. 주요거리디지털뉴딜(LG U+)공공WiFi인터넷망_뉴딜용2022실외<NA>37.4982126.91022024-05-17 11:13:05.0
23743서울4차-6776성북구매화어린이공원서울특별시 성북구 정릉로42길 28g0039_1<NA>3. 공원(하천)디지털뉴딜(LG U+)공공WiFi인터넷망_뉴딜용2022실외<NA>37.600826127.0200652024-05-17 11:13:06.0
3620GB130007강북구강북문화예술회관수유동 360-102층 복도2F4. 문화관광자치구공공WiFi자가망_U무선망2021실내<NA>37.64079127.013362024-05-17 11:12:54.0
관리번호자치구와이파이명도로명주소상세주소설치위치(층)설치유형설치기관서비스구분망종류설치년도실내외구분wifi접속환경Y좌표X좌표작업일자
14059WF201100강동구천호2동주민센터강동구 천호2동 358회의실<NA>7-2-3. 공공 - 동주민센터서울시(AP)공공WiFi자가망_U무선망2020실내<NA>37.54341127.125432024-05-17 11:13:00.0
6552GS180108강서구방화1동양천로24가길 31양천로24가길 31<NA>1. 주요거리자치구에스넷1차<NA>자가망_U무선망2020실외<NA>37.57238126.813992024-05-17 11:12:56.0
12007WF171639강서구길꽃어린이도서관방화동 828금낭화로24길 5(방화동 828, 2층)<NA>4. 문화관광서울시(AP)공공WiFi자가망_U무선망2017실내<NA>37.57867126.813822024-05-17 11:12:59.0
2430DDM180043동대문구배봉산한천로43길 12-14배봉산자락길118<NA>3. 공원(하천)자치구<NA>임대망2019실외<NA>37.58023127.0626752024-05-17 11:12:53.0
11491WF160158마포구에스플렉스센터매봉산로 31시너지움 13층<NA>7-1-3. 공공 - 시산하기관서울시(AP)공공WiFi자가망_U무선망2016실내<NA>37.57596126.890582024-05-17 11:12:59.0
5866GS050058강서구화곡본동화곡동 56-28화곡동 56-28<NA>5. 버스정류소자치구에스넷1차<NA>자가망_U무선망2020실외<NA>37.541523126.85062024-05-17 11:12:55.0
12767WF181317서초구구립서초노인요양센터남부순환로340길21 (현관좌측_4층복도)02-597-5008, 010-7474-2776<NA>6-2. 복지 - 노인서울시(AP)공공WiFi임대망2018실내<NA>37.48172127.024542024-05-17 11:12:59.0
22485서울4차-5426-1구로구구로노인종합복지관서울특별시 구로구 새말로 16길 73F_화장실앞_2<NA>6-2. 복지 - 노인디지털뉴딜(LG U+)공공WiFi인터넷망_뉴딜용2022실내<NA>37.505245126.890612024-05-17 11:13:05.0
7241JN150008중랑구구릉공원신내1동 823신내 3지구 1단지(구릉공원#1)<NA>3. 공원(하천)자치구공공WiFi임대망2020실외<NA>37.617176127.109932024-05-17 11:12:56.0
6095GS100012강서구강서구청(본관)화곡6동 980-16 지하 1층 복도화곡6동 980-16 지하 1층 복도<NA>7-2-1. 공공 - 구청사 및 별관자치구<NA>자가망_U무선망2019실내<NA>37.550938126.849642024-05-17 11:12:55.0