Overview

Dataset statistics

Number of variables7
Number of observations5624
Missing cells4692
Missing cells (%)11.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory318.7 KiB
Average record size in memory58.0 B

Variable types

Text4
Numeric2
DateTime1

Dataset

Description파일 다운로드
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-21824/F/1/datasetView.do

Alerts

경도 is highly overall correlated with 위도High correlation
위도 is highly overall correlated with 경도High correlation
예전주소 has 2356 (41.9%) missing valuesMissing
현재주소 has 2336 (41.5%) missing valuesMissing
분류명 has unique valuesUnique
경도 has 2328 (41.4%) zerosZeros
위도 has 2328 (41.4%) zerosZeros

Reproduction

Analysis started2023-12-11 09:22:03.142575
Analysis finished2023-12-11 09:22:05.263430
Duration2.12 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

분류명
Text

UNIQUE 

Distinct5624
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size44.1 KiB
2023-12-11T18:22:05.452331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length20.025249
Min length17

Characters and Unicode

Total characters112622
Distinct characters29
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5624 ?
Unique (%)100.0%

Sample

1st row30200CTVPOC477939623
2nd row30200CTVPOC477960808
3rd row30200CTVPOC477987562
4th row30200CTVPOC478047576
5th row30200CTVPOC478225854
ValueCountFrequency (%)
30200ctvpoc477939623 1
 
< 0.1%
30200ctvpoc1415964244 1
 
< 0.1%
30200ctvpoc1417283216 1
 
< 0.1%
30200ctvpoc1417255885 1
 
< 0.1%
30200ctvpoc1417229521 1
 
< 0.1%
30200ctvpoc1417187323 1
 
< 0.1%
30200ctvpoc1416393605 1
 
< 0.1%
30200ctvpoc1416384432 1
 
< 0.1%
30200ctvpoc1416363669 1
 
< 0.1%
30200ctvpoc1417540088 1
 
< 0.1%
Other values (5614) 5614
99.8%
2023-12-11T18:22:05.882248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 34175
30.3%
1 8349
 
7.4%
3 8080
 
7.2%
T 7526
 
6.7%
C 6791
 
6.0%
2 6414
 
5.7%
5 5824
 
5.2%
V 5710
 
5.1%
4 4060
 
3.6%
6 3125
 
2.8%
Other values (19) 22568
20.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 78743
69.9%
Uppercase Letter 33879
30.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
T 7526
22.2%
C 6791
20.0%
V 5710
16.9%
P 2687
 
7.9%
O 2685
 
7.9%
I 2091
 
6.2%
B 1966
 
5.8%
G 1518
 
4.5%
S 961
 
2.8%
R 801
 
2.4%
Other values (9) 1143
 
3.4%
Decimal Number
ValueCountFrequency (%)
0 34175
43.4%
1 8349
 
10.6%
3 8080
 
10.3%
2 6414
 
8.1%
5 5824
 
7.4%
4 4060
 
5.2%
6 3125
 
4.0%
7 2978
 
3.8%
9 2952
 
3.7%
8 2786
 
3.5%

Most occurring scripts

ValueCountFrequency (%)
Common 78743
69.9%
Latin 33879
30.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
T 7526
22.2%
C 6791
20.0%
V 5710
16.9%
P 2687
 
7.9%
O 2685
 
7.9%
I 2091
 
6.2%
B 1966
 
5.8%
G 1518
 
4.5%
S 961
 
2.8%
R 801
 
2.4%
Other values (9) 1143
 
3.4%
Common
ValueCountFrequency (%)
0 34175
43.4%
1 8349
 
10.6%
3 8080
 
10.3%
2 6414
 
8.1%
5 5824
 
7.4%
4 4060
 
5.2%
6 3125
 
4.0%
7 2978
 
3.8%
9 2952
 
3.7%
8 2786
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 112622
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 34175
30.3%
1 8349
 
7.4%
3 8080
 
7.2%
T 7526
 
6.7%
C 6791
 
6.0%
2 6414
 
5.7%
5 5824
 
5.2%
V 5710
 
5.1%
4 4060
 
3.6%
6 3125
 
2.8%
Other values (19) 22568
20.0%

번호
Text

Distinct4490
Distinct (%)79.8%
Missing0
Missing (%)0.0%
Memory size44.1 KiB
2023-12-11T18:22:06.207130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length41
Mean length15.686878
Min length2

Characters and Unicode

Total characters88223
Distinct characters559
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3612 ?
Unique (%)64.2%

Sample

1st row047.자립지원센터 앞
2nd row048.마음편한병원 앞
3rd row049.투다리앞
4th row001.서대전초등학교 인근
5th row002.태평초등학교 정문
ValueCountFrequency (%)
1 1390
 
10.2%
1380
 
10.1%
카메라 1353
 
9.9%
앞 180
 
1.3%
주변 69
 
0.5%
정문 55
 
0.4%
부근 34
 
0.2%
후문 32
 
0.2%
2 24
 
0.2%
보조 23
 
0.2%
Other values (6424) 9145
66.8%
2023-12-11T18:22:06.727915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8178
 
9.3%
1 7199
 
8.2%
0 6160
 
7.0%
- 3987
 
4.5%
2 3644
 
4.1%
3 2883
 
3.3%
. 2703
 
3.1%
4 2490
 
2.8%
5 2219
 
2.5%
동 2177
 
2.5%
Other values (549) 46583
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32918
37.3%
Decimal Number 31165
35.3%
Space Separator 8178
 
9.3%
Dash Punctuation 3987
 
4.5%
Uppercase Letter 3337
 
3.8%
Other Punctuation 3326
 
3.8%
Open Punctuation 1889
 
2.1%
Close Punctuation 1886
 
2.1%
Connector Punctuation 1412
 
1.6%
Lowercase Letter 123
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2177
 
6.6%
라 1421
 
4.3%
메 1367
 
4.2%
카 1362
 
4.1%
초 1092
 
3.3%
화 986
 
3.0%
교 871
 
2.6%
원 831
 
2.5%
곡 658
 
2.0%
공 588
 
1.8%
Other values (500) 21565
65.5%
Uppercase Letter
ValueCountFrequency (%)
A 1417
42.5%
S 646
19.4%
R 392
 
11.7%
E 379
 
11.4%
V 159
 
4.8%
D 115
 
3.4%
C 79
 
2.4%
M 54
 
1.6%
H 42
 
1.3%
T 16
 
0.5%
Other values (7) 38
 
1.1%
Decimal Number
ValueCountFrequency (%)
1 7199
23.1%
0 6160
19.8%
2 3644
11.7%
3 2883
9.3%
4 2490
 
8.0%
5 2219
 
7.1%
6 1947
 
6.2%
7 1682
 
5.4%
8 1599
 
5.1%
9 1342
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
a 48
39.0%
e 24
19.5%
m 21
17.1%
r 21
17.1%
t 5
 
4.1%
s 2
 
1.6%
i 1
 
0.8%
y 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
. 2703
81.3%
# 558
 
16.8%
@ 28
 
0.8%
/ 21
 
0.6%
, 14
 
0.4%
& 2
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1887
99.9%
[ 2
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1884
99.9%
] 2
 
0.1%
Space Separator
ValueCountFrequency (%)
8178
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3987
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1412
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 51845
58.8%
Hangul 32918
37.3%
Latin 3460
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2177
 
6.6%
라 1421
 
4.3%
메 1367
 
4.2%
카 1362
 
4.1%
초 1092
 
3.3%
화 986
 
3.0%
교 871
 
2.6%
원 831
 
2.5%
곡 658
 
2.0%
공 588
 
1.8%
Other values (500) 21565
65.5%
Latin
ValueCountFrequency (%)
A 1417
41.0%
S 646
18.7%
R 392
 
11.3%
E 379
 
11.0%
V 159
 
4.6%
D 115
 
3.3%
C 79
 
2.3%
M 54
 
1.6%
a 48
 
1.4%
H 42
 
1.2%
Other values (15) 129
 
3.7%
Common
ValueCountFrequency (%)
8178
15.8%
1 7199
13.9%
0 6160
11.9%
- 3987
 
7.7%
2 3644
 
7.0%
3 2883
 
5.6%
. 2703
 
5.2%
4 2490
 
4.8%
5 2219
 
4.3%
6 1947
 
3.8%
Other values (14) 10435
20.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 55305
62.7%
Hangul 32918
37.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8178
14.8%
1 7199
13.0%
0 6160
11.1%
- 3987
 
7.2%
2 3644
 
6.6%
3 2883
 
5.2%
. 2703
 
4.9%
4 2490
 
4.5%
5 2219
 
4.0%
6 1947
 
3.5%
Other values (39) 13895
25.1%
Hangul
ValueCountFrequency (%)
동 2177
 
6.6%
라 1421
 
4.3%
메 1367
 
4.2%
카 1362
 
4.1%
초 1092
 
3.3%
화 986
 
3.0%
교 871
 
2.6%
원 831
 
2.5%
곡 658
 
2.0%
공 588
 
1.8%
Other values (500) 21565
65.5%

예전주소
Text

MISSING 

Distinct3090
Distinct (%)94.6%
Missing2356
Missing (%)41.9%
Memory size44.1 KiB
2023-12-11T18:22:07.112416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length37
Mean length19.598225
Min length1

Characters and Unicode

Total characters64047
Distinct characters618
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2961 ?
Unique (%)90.6%

Sample

1st row(남대전 47-1) 방범용 2013.12 중교로 47-1 인근(자립지원센터 앞/대흥동 251-5)
2nd row중교로 32 인근(마음편한병원 앞/대흥동 452-2)
3rd row중교로 6-1 인근(투다리 앞/대흥동 508-11)
4th row용두로24번길 1(서대전초등학교 인근/용두동 71-23)
5th row유천로 117 인근(태평초등학교 정문/태평2동 385-10)
ValueCountFrequency (%)
432
 
3.7%
앞 399
 
3.5%
서구 142
 
1.2%
유성구 127
 
1.1%
동구 101
 
0.9%
대전 98
 
0.9%
중구 91
 
0.8%
중리동 90
 
0.8%
①서구 89
 
0.8%
오정동 87
 
0.8%
Other values (5978) 9866
85.6%
2023-12-11T18:22:07.692099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8284
 
12.9%
1 3691
 
5.8%
동 3531
 
5.5%
2 2438
 
3.8%
- 2285
 
3.6%
3 1997
 
3.1%
4 1647
 
2.6%
5 1483
 
2.3%
( 1409
 
2.2%
) 1398
 
2.2%
Other values (608) 35884
56.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31350
48.9%
Decimal Number 17201
26.9%
Space Separator 8284
 
12.9%
Dash Punctuation 2285
 
3.6%
Open Punctuation 1429
 
2.2%
Close Punctuation 1418
 
2.2%
Other Punctuation 1352
 
2.1%
Uppercase Letter 322
 
0.5%
Other Number 256
 
0.4%
Lowercase Letter 133
 
0.2%
Other values (3) 17
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3531
 
11.3%
로 1176
 
3.8%
대 986
 
3.1%
번 944
 
3.0%
구 936
 
3.0%
길 859
 
2.7%
앞 746
 
2.4%
원 603
 
1.9%
성 472
 
1.5%
중 464
 
1.5%
Other values (539) 20633
65.8%
Uppercase Letter
ValueCountFrequency (%)
T 93
28.9%
L 35
 
10.9%
A 25
 
7.8%
E 22
 
6.8%
S 20
 
6.2%
G 19
 
5.9%
K 18
 
5.6%
P 15
 
4.7%
C 14
 
4.3%
M 12
 
3.7%
Other values (13) 49
15.2%
Lowercase Letter
ValueCountFrequency (%)
e 59
44.4%
l 56
42.1%
t 5
 
3.8%
f 2
 
1.5%
m 2
 
1.5%
g 1
 
0.8%
c 1
 
0.8%
i 1
 
0.8%
o 1
 
0.8%
a 1
 
0.8%
Other values (4) 4
 
3.0%
Decimal Number
ValueCountFrequency (%)
1 3691
21.5%
2 2438
14.2%
3 1997
11.6%
4 1647
9.6%
5 1483
8.6%
6 1364
 
7.9%
0 1193
 
6.9%
7 1145
 
6.7%
8 1142
 
6.6%
9 1101
 
6.4%
Other Punctuation
ValueCountFrequency (%)
/ 798
59.0%
, 434
32.1%
: 66
 
4.9%
@ 48
 
3.6%
. 3
 
0.2%
? 2
 
0.1%
& 1
 
0.1%
Other Number
ValueCountFrequency (%)
① 230
89.8%
④ 25
 
9.8%
② 1
 
0.4%
Math Symbol
ValueCountFrequency (%)
= 1
33.3%
> 1
33.3%
+ 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 1409
98.6%
[ 20
 
1.4%
Close Punctuation
ValueCountFrequency (%)
) 1398
98.6%
] 20
 
1.4%
Control
ValueCountFrequency (%)
9
69.2%
4
30.8%
Space Separator
ValueCountFrequency (%)
8284
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2285
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32241
50.3%
Hangul 31350
48.9%
Latin 455
 
0.7%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3531
 
11.3%
로 1176
 
3.8%
대 986
 
3.1%
번 944
 
3.0%
구 936
 
3.0%
길 859
 
2.7%
앞 746
 
2.4%
원 603
 
1.9%
성 472
 
1.5%
중 464
 
1.5%
Other values (539) 20633
65.8%
Latin
ValueCountFrequency (%)
T 93
20.4%
e 59
13.0%
l 56
12.3%
L 35
 
7.7%
A 25
 
5.5%
E 22
 
4.8%
S 20
 
4.4%
G 19
 
4.2%
K 18
 
4.0%
P 15
 
3.3%
Other values (27) 93
20.4%
Common
ValueCountFrequency (%)
8284
25.7%
1 3691
11.4%
2 2438
 
7.6%
- 2285
 
7.1%
3 1997
 
6.2%
4 1647
 
5.1%
5 1483
 
4.6%
( 1409
 
4.4%
) 1398
 
4.3%
6 1364
 
4.2%
Other values (21) 6245
19.4%
Han
ValueCountFrequency (%)
舊 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32440
50.7%
Hangul 31349
48.9%
Enclosed Alphanum 256
 
0.4%
None 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8284
25.5%
1 3691
11.4%
2 2438
 
7.5%
- 2285
 
7.0%
3 1997
 
6.2%
4 1647
 
5.1%
5 1483
 
4.6%
( 1409
 
4.3%
) 1398
 
4.3%
6 1364
 
4.2%
Other values (55) 6444
19.9%
Hangul
ValueCountFrequency (%)
동 3531
 
11.3%
로 1176
 
3.8%
대 986
 
3.1%
번 944
 
3.0%
구 936
 
3.0%
길 859
 
2.7%
앞 746
 
2.4%
원 603
 
1.9%
성 472
 
1.5%
중 464
 
1.5%
Other values (538) 20632
65.8%
Enclosed Alphanum
ValueCountFrequency (%)
① 230
89.8%
④ 25
 
9.8%
② 1
 
0.4%
None
ValueCountFrequency (%)
㈜ 1
100.0%
CJK
ValueCountFrequency (%)
舊 1
100.0%

현재주소
Text

MISSING 

Distinct3108
Distinct (%)94.5%
Missing2336
Missing (%)41.5%
Memory size44.1 KiB
2023-12-11T18:22:08.002312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length37
Mean length19.599453
Min length1

Characters and Unicode

Total characters64443
Distinct characters618
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2977 ?
Unique (%)90.5%

Sample

1st row(남대전 47-1) 방범용 2013.12 중교로 47-1 인근(자립지원센터 앞/대흥동 251-5)
2nd row중교로 32 인근(마음편한병원 앞/대흥동 452-2)
3rd row중교로 6-1 인근(투다리 앞/대흥동 508-11)
4th row용두로24번길 1(서대전초등학교 인근/용두동 71-23)
5th row유천로 117 인근(태평초등학교 정문/태평2동 385-10)
ValueCountFrequency (%)
434
 
3.7%
앞 399
 
3.4%
서구 145
 
1.3%
유성구 132
 
1.1%
동구 101
 
0.9%
대전 98
 
0.8%
중리동 91
 
0.8%
중구 91
 
0.8%
오정동 89
 
0.8%
①서구 89
 
0.8%
Other values (5997) 9929
85.6%
2023-12-11T18:22:08.568421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8342
 
12.9%
1 3718
 
5.8%
동 3549
 
5.5%
2 2446
 
3.8%
- 2298
 
3.6%
3 2014
 
3.1%
4 1659
 
2.6%
5 1492
 
2.3%
( 1416
 
2.2%
) 1405
 
2.2%
Other values (608) 36104
56.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31546
49.0%
Decimal Number 17312
26.9%
Space Separator 8342
 
12.9%
Dash Punctuation 2298
 
3.6%
Open Punctuation 1436
 
2.2%
Close Punctuation 1425
 
2.2%
Other Punctuation 1356
 
2.1%
Uppercase Letter 322
 
0.5%
Other Number 256
 
0.4%
Lowercase Letter 133
 
0.2%
Other values (3) 17
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3549
 
11.3%
로 1185
 
3.8%
대 999
 
3.2%
번 951
 
3.0%
구 945
 
3.0%
길 866
 
2.7%
앞 746
 
2.4%
원 607
 
1.9%
성 477
 
1.5%
중 466
 
1.5%
Other values (539) 20755
65.8%
Uppercase Letter
ValueCountFrequency (%)
T 93
28.9%
L 35
 
10.9%
A 25
 
7.8%
E 22
 
6.8%
S 20
 
6.2%
G 19
 
5.9%
K 18
 
5.6%
P 15
 
4.7%
C 14
 
4.3%
M 12
 
3.7%
Other values (13) 49
15.2%
Lowercase Letter
ValueCountFrequency (%)
e 59
44.4%
l 56
42.1%
t 5
 
3.8%
m 2
 
1.5%
f 2
 
1.5%
g 1
 
0.8%
c 1
 
0.8%
r 1
 
0.8%
n 1
 
0.8%
a 1
 
0.8%
Other values (4) 4
 
3.0%
Decimal Number
ValueCountFrequency (%)
1 3718
21.5%
2 2446
14.1%
3 2014
11.6%
4 1659
9.6%
5 1492
8.6%
6 1371
 
7.9%
0 1202
 
6.9%
8 1150
 
6.6%
7 1150
 
6.6%
9 1110
 
6.4%
Other Punctuation
ValueCountFrequency (%)
/ 800
59.0%
, 436
32.2%
: 66
 
4.9%
@ 48
 
3.5%
. 3
 
0.2%
? 2
 
0.1%
& 1
 
0.1%
Other Number
ValueCountFrequency (%)
① 230
89.8%
④ 25
 
9.8%
② 1
 
0.4%
Math Symbol
ValueCountFrequency (%)
> 1
33.3%
= 1
33.3%
+ 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 1416
98.6%
[ 20
 
1.4%
Close Punctuation
ValueCountFrequency (%)
) 1405
98.6%
] 20
 
1.4%
Control
ValueCountFrequency (%)
9
69.2%
4
30.8%
Space Separator
ValueCountFrequency (%)
8342
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2298
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32441
50.3%
Hangul 31546
49.0%
Latin 455
 
0.7%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3549
 
11.3%
로 1185
 
3.8%
대 999
 
3.2%
번 951
 
3.0%
구 945
 
3.0%
길 866
 
2.7%
앞 746
 
2.4%
원 607
 
1.9%
성 477
 
1.5%
중 466
 
1.5%
Other values (539) 20755
65.8%
Latin
ValueCountFrequency (%)
T 93
20.4%
e 59
13.0%
l 56
12.3%
L 35
 
7.7%
A 25
 
5.5%
E 22
 
4.8%
S 20
 
4.4%
G 19
 
4.2%
K 18
 
4.0%
P 15
 
3.3%
Other values (27) 93
20.4%
Common
ValueCountFrequency (%)
8342
25.7%
1 3718
11.5%
2 2446
 
7.5%
- 2298
 
7.1%
3 2014
 
6.2%
4 1659
 
5.1%
5 1492
 
4.6%
( 1416
 
4.4%
) 1405
 
4.3%
6 1371
 
4.2%
Other values (21) 6280
19.4%
Han
ValueCountFrequency (%)
舊 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32640
50.6%
Hangul 31545
49.0%
Enclosed Alphanum 256
 
0.4%
None 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8342
25.6%
1 3718
11.4%
2 2446
 
7.5%
- 2298
 
7.0%
3 2014
 
6.2%
4 1659
 
5.1%
5 1492
 
4.6%
( 1416
 
4.3%
) 1405
 
4.3%
6 1371
 
4.2%
Other values (55) 6479
19.8%
Hangul
ValueCountFrequency (%)
동 3549
 
11.3%
로 1185
 
3.8%
대 999
 
3.2%
번 951
 
3.0%
구 945
 
3.0%
길 866
 
2.7%
앞 746
 
2.4%
원 607
 
1.9%
성 477
 
1.5%
중 466
 
1.5%
Other values (538) 20754
65.8%
Enclosed Alphanum
ValueCountFrequency (%)
① 230
89.8%
④ 25
 
9.8%
② 1
 
0.4%
None
ValueCountFrequency (%)
㈜ 1
100.0%
CJK
ValueCountFrequency (%)
舊 1
100.0%

경도
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct3211
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.67071
Minimum0
Maximum172.39977
Zeros2328
Zeros (%)41.4%
Negative0
Negative (%)0.0%
Memory size49.6 KiB
2023-12-11T18:22:08.739790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median127.34853
Q3127.41311
95-th percentile127.44912
Maximum172.39977
Range172.39977
Interquartile range (IQR)127.41311

Descriptive statistics

Standard deviation62.763434
Coefficient of variation (CV)0.84053618
Kurtosis-1.8780344
Mean74.67071
Median Absolute Deviation (MAD)0.092575181
Skewness-0.34920259
Sum419948.07
Variance3939.2486
MonotonicityNot monotonic
2023-12-11T18:22:08.926899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2328
41.4%
127.386038888889 3
 
0.1%
127.4379578 3
 
0.1%
127.4409545 3
 
0.1%
127.350794444444 3
 
0.1%
127.338322222222 3
 
0.1%
127.445202777778 3
 
0.1%
127.381969444444 3
 
0.1%
127.362241666667 3
 
0.1%
127.365836111111 3
 
0.1%
Other values (3201) 3269
58.1%
ValueCountFrequency (%)
0.0 2328
41.4%
126.81750819747212 1
 
< 0.1%
126.835495 1
 
< 0.1%
126.83752 1
 
< 0.1%
126.87732771787884 1
 
< 0.1%
127.255077777778 2
 
< 0.1%
127.2649974 1
 
< 0.1%
127.2665597 1
 
< 0.1%
127.2893116 1
 
< 0.1%
127.29157 1
 
< 0.1%
ValueCountFrequency (%)
172.3997674 1
< 0.1%
127.498383 1
< 0.1%
127.496998647 1
< 0.1%
127.493194971 1
< 0.1%
127.492691091 1
< 0.1%
127.4925913 1
< 0.1%
127.4921891 1
< 0.1%
127.4921726 1
< 0.1%
127.4921597 1
< 0.1%
127.492123345 1
< 0.1%

위도
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct3209
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.303864
Minimum0
Maximum37.570324
Zeros2328
Zeros (%)41.4%
Negative0
Negative (%)0.0%
Memory size49.6 KiB
2023-12-11T18:22:09.112515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median36.311529
Q336.351425
95-th percentile36.424676
Maximum37.570324
Range37.570324
Interquartile range (IQR)36.351425

Descriptive statistics

Standard deviation17.905902
Coefficient of variation (CV)0.8405002
Kurtosis-1.8784718
Mean21.303864
Median Absolute Deviation (MAD)0.074607708
Skewness-0.34952867
Sum119812.93
Variance320.62133
MonotonicityNot monotonic
2023-12-11T18:22:09.251658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2328
41.4%
36.2207916666667 3
 
0.1%
36.28486667 3
 
0.1%
36.3457415 3
 
0.1%
36.27865 3
 
0.1%
36.32575833 3
 
0.1%
36.3547416666667 3
 
0.1%
36.3251861111111 3
 
0.1%
36.3225 3
 
0.1%
36.3469388888889 3
 
0.1%
Other values (3199) 3269
58.1%
ValueCountFrequency (%)
0.0 2328
41.4%
36.2207916666667 3
 
0.1%
36.2261549 1
 
< 0.1%
36.2279088 1
 
< 0.1%
36.2411601 1
 
< 0.1%
36.2494819558 1
 
< 0.1%
36.24967 1
 
< 0.1%
36.2497268657 1
 
< 0.1%
36.2519193517 1
 
< 0.1%
36.2522 2
 
< 0.1%
ValueCountFrequency (%)
37.57032360247056 1
< 0.1%
37.55219146451351 1
< 0.1%
37.546047 1
< 0.1%
37.54369 1
< 0.1%
36.4909888888889 2
< 0.1%
36.4756871 1
< 0.1%
36.4754973 1
< 0.1%
36.4698032 1
< 0.1%
36.4668395 1
< 0.1%
36.4650879 1
< 0.1%

업데이트일시
Date

Distinct132
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size44.1 KiB
Minimum2015-05-15 15:52:15
Maximum2016-01-25 15:09:11
2023-12-11T18:22:09.410950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:22:09.568032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-11T18:22:04.617315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:22:04.410218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:22:04.716973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:22:04.514759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T18:22:09.678979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경도위도
경도1.0001.000
위도1.0001.000
2023-12-11T18:22:09.760582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경도위도
경도1.0000.784
위도0.7841.000

Missing values

2023-12-11T18:22:04.900390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T18:22:05.076370image/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.
2023-12-11T18:22:05.191296image/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

분류명번호예전주소현재주소경도위도업데이트일시
030200CTVPOC477939623047.자립지원센터 앞(남대전 47-1) 방범용 2013.12 중교로 47-1 인근(자립지원센터 앞/대흥동 251-5)(남대전 47-1) 방범용 2013.12 중교로 47-1 인근(자립지원센터 앞/대흥동 251-5)127.42512536.3257562015-05-19 11:36:32
130200CTVPOC477960808048.마음편한병원 앞중교로 32 인근(마음편한병원 앞/대흥동 452-2)중교로 32 인근(마음편한병원 앞/대흥동 452-2)127.42360236.3252182015-05-19 11:36:32
230200CTVPOC477987562049.투다리앞중교로 6-1 인근(투다리 앞/대흥동 508-11)중교로 6-1 인근(투다리 앞/대흥동 508-11)127.42093836.3242562015-05-19 11:36:32
330200CTVPOC478047576001.서대전초등학교 인근용두로24번길 1(서대전초등학교 인근/용두동 71-23)용두로24번길 1(서대전초등학교 인근/용두동 71-23)127.40914836.3263882015-05-19 11:36:32
430200CTVPOC478225854002.태평초등학교 정문유천로 117 인근(태평초등학교 정문/태평2동 385-10)유천로 117 인근(태평초등학교 정문/태평2동 385-10)127.39563636.3220472015-05-19 11:36:32
530200CTVPOC478251750003.신평초등학교 정문유등천동로 468-2(신평초등학교 정문/태평2동 417-14)유등천동로 468-2(신평초등학교 정문/태평2동 417-14)127.38866636.3227162015-05-19 11:36:32
630200CTVPOC478273200004.대신초등학교 정자앞솔밭로16번길 17(대신초정자 앞/대사동 233-10)솔밭로16번길 17(대신초정자 앞/대사동 233-10)127.41980236.3157962015-05-19 11:36:32
730200CTVPOC478338034005.글꽃초등학교 정문계룡로918번길 97 인근(글꽃초등학교 정문/문화1동 1-258)계룡로918번길 97 인근(글꽃초등학교 정문/문화1동 1-258)127.41006736.3191392015-05-19 11:36:32
830200CTVPOC478370732006.유평초등학교 정문수침로 123 인근(유평초등학교 정문/태평1동 343-2)수침로 123 인근(유평초등학교 정문/태평1동 343-2)127.39792836.33112015-05-19 11:36:32
930200CTVPOC478394132007.버드네초등학교 정문태평로 21 인근(버드내초정문/태평2동 422-32)태평로 21 인근(버드내초정문/태평2동 422-32)127.39153736.318172015-05-19 11:36:32
분류명번호예전주소현재주소경도위도업데이트일시
561411500CTVGTV1000005388A7016_등촌2동 365-86 - 카메라 1<NA><NA>0.00.02016-01-08 18:04:49
561511500CTVGTV1000005389A7013_화곡8동 339-19 - 카메라 1<NA><NA>0.00.02016-01-08 18:04:50
561611500CTVGTV1000005390A7011_화곡6동 989-17 - 카메라 1<NA><NA>0.00.02016-01-08 18:04:50
561711500CTVGTV1000005391A7008_화곡1동 936-4 - 카메라 1<NA><NA>0.00.02016-01-08 18:04:50
561811500CTVGTV1000005392A7010_화곡3동 1012-3 - 카메라 1<NA><NA>0.00.02016-01-08 18:04:50
561911500CTVGTV1000005393A7015_화곡1동 424-65 - 카메라 1<NA><NA>0.00.02016-01-08 18:04:50
562011500CTVGTV1000005394A7002_화곡1동 343-41 - 카메라 1<NA><NA>0.00.02016-01-08 18:04:50
562111500CTVGTV1000005395A7003_방화1동 608-89 - 카메라 1<NA><NA>0.00.02016-01-08 18:04:50
562211500CTVGTV1000005397A3004_(스쿨존)신곡초교 - 카메라 1<NA><NA>0.00.02016-01-08 18:04:50
562311500CTVGTV1000005398A5032_(공원)_봉제산공원 뒤쪽 화장실 - 카메라 1<NA><NA>0.00.02016-01-08 18:04:50