Overview

Dataset statistics

Number of variables13
Number of observations10000
Missing cells17385
Missing cells (%)13.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 MiB
Average record size in memory114.0 B

Variable types

Text8
Categorical2
DateTime1
Numeric2

Alerts

정제WGS84위도 is highly overall correlated with 시군구명High correlation
정제WGS84경도 is highly overall correlated with 시군구명High correlation
시군구명 is highly overall correlated with 정제WGS84위도 and 1 other fieldsHigh correlation
운영기관명 has 232 (2.3%) missing valuesMissing
대표전화번호 has 4165 (41.6%) missing valuesMissing
특이사항 has 9477 (94.8%) missing valuesMissing
이미지명 has 3391 (33.9%) missing valuesMissing

Reproduction

Analysis started2023-12-10 21:23:46.170543
Analysis finished2023-12-10 21:23:49.205277
Duration3.03 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

Distinct9426
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T06:23:49.433295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length23
Mean length7.0155
Min length1

Characters and Unicode

Total characters70155
Distinct characters739
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9004 ?
Unique (%)90.0%

Sample

1st row발안주공
2nd row운천이솝어린이집
3rd row시흥도원초등학교
4th row용인이동초등학교병설유치원
5th row지영
ValueCountFrequency (%)
경로당 147
 
1.3%
어린이공원 103
 
0.9%
어린이집 53
 
0.5%
공원 27
 
0.2%
요양원 22
 
0.2%
어린이 17
 
0.2%
1리 14
 
0.1%
아파트 11
 
0.1%
휴먼시아 10
 
0.1%
2리 9
 
0.1%
Other values (9682) 10734
96.3%
2023-12-11T06:23:49.887608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 3473
 
5.0%
어 2917
 
4.2%
린 2904
 
4.1%
원 2524
 
3.6%
집 2355
 
3.4%
리 1811
 
2.6%
교 1273
 
1.8%
아 1187
 
1.7%
학 1174
 
1.7%
초 1173
 
1.7%
Other values (729) 49364
70.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63459
90.5%
Decimal Number 3420
 
4.9%
Space Separator 1154
 
1.6%
Open Punctuation 771
 
1.1%
Close Punctuation 769
 
1.1%
Uppercase Letter 396
 
0.6%
Lowercase Letter 100
 
0.1%
Other Punctuation 53
 
0.1%
Dash Punctuation 28
 
< 0.1%
Math Symbol 3
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 3473
 
5.5%
어 2917
 
4.6%
린 2904
 
4.6%
원 2524
 
4.0%
집 2355
 
3.7%
리 1811
 
2.9%
교 1273
 
2.0%
아 1187
 
1.9%
학 1174
 
1.9%
초 1173
 
1.8%
Other values (667) 42668
67.2%
Uppercase Letter
ValueCountFrequency (%)
A 143
36.1%
L 36
 
9.1%
S 33
 
8.3%
K 31
 
7.8%
C 23
 
5.8%
H 21
 
5.3%
G 17
 
4.3%
I 17
 
4.3%
E 10
 
2.5%
P 9
 
2.3%
Other values (15) 56
 
14.1%
Lowercase Letter
ValueCountFrequency (%)
e 37
37.0%
i 13
 
13.0%
s 12
 
12.0%
k 10
 
10.0%
o 5
 
5.0%
d 5
 
5.0%
t 3
 
3.0%
c 3
 
3.0%
m 2
 
2.0%
l 2
 
2.0%
Other values (6) 8
 
8.0%
Decimal Number
ValueCountFrequency (%)
1 1049
30.7%
2 934
27.3%
3 475
13.9%
4 266
 
7.8%
5 204
 
6.0%
6 154
 
4.5%
7 109
 
3.2%
9 97
 
2.8%
8 78
 
2.3%
0 54
 
1.6%
Other Punctuation
ValueCountFrequency (%)
, 26
49.1%
. 20
37.7%
& 4
 
7.5%
/ 3
 
5.7%
Space Separator
ValueCountFrequency (%)
1154
100.0%
Open Punctuation
ValueCountFrequency (%)
( 771
100.0%
Close Punctuation
ValueCountFrequency (%)
) 769
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63458
90.5%
Common 6199
 
8.8%
Latin 496
 
0.7%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 3473
 
5.5%
어 2917
 
4.6%
린 2904
 
4.6%
원 2524
 
4.0%
집 2355
 
3.7%
리 1811
 
2.9%
교 1273
 
2.0%
아 1187
 
1.9%
학 1174
 
1.9%
초 1173
 
1.8%
Other values (666) 42667
67.2%
Latin
ValueCountFrequency (%)
A 143
28.8%
e 37
 
7.5%
L 36
 
7.3%
S 33
 
6.7%
K 31
 
6.2%
C 23
 
4.6%
H 21
 
4.2%
G 17
 
3.4%
I 17
 
3.4%
i 13
 
2.6%
Other values (31) 125
25.2%
Common
ValueCountFrequency (%)
1154
18.6%
1 1049
16.9%
2 934
15.1%
( 771
12.4%
) 769
12.4%
3 475
7.7%
4 266
 
4.3%
5 204
 
3.3%
6 154
 
2.5%
7 109
 
1.8%
Other values (10) 314
 
5.1%
Han
ValueCountFrequency (%)
美 1
50.0%
愛 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 63457
90.5%
ASCII 6695
 
9.5%
CJK 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 3473
 
5.5%
어 2917
 
4.6%
린 2904
 
4.6%
원 2524
 
4.0%
집 2355
 
3.7%
리 1811
 
2.9%
교 1273
 
2.0%
아 1187
 
1.9%
학 1174
 
1.9%
초 1173
 
1.8%
Other values (665) 42666
67.2%
ASCII
ValueCountFrequency (%)
1154
17.2%
1 1049
15.7%
2 934
14.0%
( 771
11.5%
) 769
11.5%
3 475
7.1%
4 266
 
4.0%
5 204
 
3.0%
6 154
 
2.3%
A 143
 
2.1%
Other values (51) 776
11.6%
None
ValueCountFrequency (%)
㈜ 1
100.0%
CJK
ValueCountFrequency (%)
美 1
50.0%
愛 1
50.0%

시군구명
Categorical

HIGH CORRELATION 

Distinct42
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
화성시
 
635
남양주시
 
601
평택시
 
523
부천시
 
456
김포시
 
364
Other values (37)
7421 

Length

Max length8
Median length3
Mean length4.479
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row화성시
2nd row포천시
3rd row시흥시
4th row용인시 처인구
5th row고양시 일산동구

Common Values

ValueCountFrequency (%)
화성시 635
 
6.3%
남양주시 601
 
6.0%
평택시 523
 
5.2%
부천시 456
 
4.6%
김포시 364
 
3.6%
시흥시 362
 
3.6%
안성시 336
 
3.4%
파주시 334
 
3.3%
의정부시 322
 
3.2%
용인시 기흥구 313
 
3.1%
Other values (32) 5754
57.5%

Length

2023-12-11T06:23:50.011162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
용인시 861
 
6.5%
수원시 706
 
5.3%
고양시 662
 
5.0%
화성시 635
 
4.8%
남양주시 601
 
4.5%
평택시 523
 
3.9%
성남시 482
 
3.6%
부천시 456
 
3.4%
김포시 364
 
2.7%
시흥시 362
 
2.7%
Other values (38) 7694
57.7%

읍면동명
Text

Distinct795
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T06:23:50.310530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.0713
Min length2

Characters and Unicode

Total characters30713
Distinct characters245
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique101 ?
Unique (%)1.0%

Sample

1st row향남읍
2nd row영북면
3rd row신천동
4th row이동읍
5th row지영동
ValueCountFrequency (%)
중동 106
 
1.1%
화도읍 106
 
1.1%
진접읍 92
 
0.9%
향남읍 69
 
0.7%
행신동 68
 
0.7%
호계동 65
 
0.7%
봉담읍 64
 
0.6%
상동 58
 
0.6%
별내동 57
 
0.6%
정왕동 57
 
0.6%
Other values (784) 9258
92.6%
2023-12-11T06:23:50.684391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 7241
23.6%
면 1571
 
5.1%
읍 1500
 
4.9%
산 642
 
2.1%
정 542
 
1.8%
양 514
 
1.7%
신 449
 
1.5%
곡 390
 
1.3%
원 362
 
1.2%
평 344
 
1.1%
Other values (235) 17158
55.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29915
97.4%
Decimal Number 797
 
2.6%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 7241
24.2%
면 1571
 
5.3%
읍 1500
 
5.0%
산 642
 
2.1%
정 542
 
1.8%
양 514
 
1.7%
신 449
 
1.5%
곡 390
 
1.3%
원 362
 
1.2%
평 344
 
1.1%
Other values (225) 16360
54.7%
Decimal Number
ValueCountFrequency (%)
2 305
38.3%
1 305
38.3%
3 126
15.8%
4 24
 
3.0%
7 16
 
2.0%
5 10
 
1.3%
6 5
 
0.6%
9 5
 
0.6%
8 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
? 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29915
97.4%
Common 798
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 7241
24.2%
면 1571
 
5.3%
읍 1500
 
5.0%
산 642
 
2.1%
정 542
 
1.8%
양 514
 
1.7%
신 449
 
1.5%
곡 390
 
1.3%
원 362
 
1.2%
평 344
 
1.1%
Other values (225) 16360
54.7%
Common
ValueCountFrequency (%)
2 305
38.2%
1 305
38.2%
3 126
15.8%
4 24
 
3.0%
7 16
 
2.0%
5 10
 
1.3%
6 5
 
0.6%
9 5
 
0.6%
8 1
 
0.1%
? 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29915
97.4%
ASCII 798
 
2.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 7241
24.2%
면 1571
 
5.3%
읍 1500
 
5.0%
산 642
 
2.1%
정 542
 
1.8%
양 514
 
1.7%
신 449
 
1.5%
곡 390
 
1.3%
원 362
 
1.2%
평 344
 
1.1%
Other values (225) 16360
54.7%
ASCII
ValueCountFrequency (%)
2 305
38.2%
1 305
38.2%
3 126
15.8%
4 24
 
3.0%
7 16
 
2.0%
5 10
 
1.3%
6 5
 
0.6%
9 5
 
0.6%
8 1
 
0.1%
? 1
 
0.1%

구분명
Categorical

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경로당
4348 
어린이집
2308 
유치원
1026 
어린이공원
960 
초등학교
608 
Other values (17)
750 

Length

Max length18
Median length3
Mean length3.7809
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row경로당
2nd row어린이집
3rd row초등학교
4th row유치원
5th row경로당

Common Values

ValueCountFrequency (%)
경로당 4348
43.5%
어린이집 2308
23.1%
유치원 1026
 
10.3%
어린이공원 960
 
9.6%
초등학교 608
 
6.1%
노인복지시설 462
 
4.6%
노인의료복지시설 134
 
1.3%
재가노인복지시설 40
 
0.4%
노인복지관 28
 
0.3%
노인주거복지시설 25
 
0.2%
Other values (12) 61
 
0.6%

Length

2023-12-11T06:23:50.814452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경로당 4348
43.4%
어린이집 2308
23.0%
유치원 1026
 
10.2%
어린이공원 960
 
9.6%
초등학교 608
 
6.1%
노인복지시설 465
 
4.6%
노인의료복지시설 134
 
1.3%
재가노인복지시설 63
 
0.6%
노인복지관 28
 
0.3%
노인주거복지시설 25
 
0.2%
Other values (11) 58
 
0.6%

운영기관명
Text

MISSING 

Distinct169
Distinct (%)1.7%
Missing232
Missing (%)2.3%
Memory size156.2 KiB
2023-12-11T06:23:51.005425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length22
Mean length4.1766994
Min length2

Characters and Unicode

Total characters40798
Distinct characters184
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)0.6%

Sample

1st row화성시청
2nd row민간
3rd row국공립
4th row공립
5th row고양시청
ValueCountFrequency (%)
민간 1410
 
12.9%
공립 986
 
9.0%
경기도 680
 
6.2%
국공립 664
 
6.1%
사립 571
 
5.2%
용인시청 425
 
3.9%
화성시청 346
 
3.2%
평택시청 332
 
3.0%
남양주시청 276
 
2.5%
고양시청 270
 
2.5%
Other values (162) 4961
45.4%
2023-12-11T06:23:51.298256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 5229
 
12.8%
청 4970
 
12.2%
립 2223
 
5.4%
공 2001
 
4.9%
민 1410
 
3.5%
간 1410
 
3.5%
양 1318
 
3.2%
인 1158
 
2.8%
1156
 
2.8%
경 820
 
2.0%
Other values (174) 19103
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 39240
96.2%
Space Separator 1156
 
2.8%
Close Punctuation 160
 
0.4%
Open Punctuation 160
 
0.4%
Other Punctuation 55
 
0.1%
Decimal Number 25
 
0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 5229
 
13.3%
청 4970
 
12.7%
립 2223
 
5.7%
공 2001
 
5.1%
민 1410
 
3.6%
간 1410
 
3.6%
양 1318
 
3.4%
인 1158
 
3.0%
경 820
 
2.1%
기 813
 
2.1%
Other values (162) 17888
45.6%
Decimal Number
ValueCountFrequency (%)
2 10
40.0%
3 5
20.0%
1 5
20.0%
7 2
 
8.0%
4 2
 
8.0%
5 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
· 44
80.0%
, 11
 
20.0%
Space Separator
ValueCountFrequency (%)
1156
100.0%
Close Punctuation
ValueCountFrequency (%)
) 160
100.0%
Open Punctuation
ValueCountFrequency (%)
( 160
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 39242
96.2%
Common 1556
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 5229
 
13.3%
청 4970
 
12.7%
립 2223
 
5.7%
공 2001
 
5.1%
민 1410
 
3.6%
간 1410
 
3.6%
양 1318
 
3.4%
인 1158
 
3.0%
경 820
 
2.1%
기 813
 
2.1%
Other values (163) 17890
45.6%
Common
ValueCountFrequency (%)
1156
74.3%
) 160
 
10.3%
( 160
 
10.3%
· 44
 
2.8%
, 11
 
0.7%
2 10
 
0.6%
3 5
 
0.3%
1 5
 
0.3%
7 2
 
0.1%
4 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 39240
96.2%
ASCII 1512
 
3.7%
None 46
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 5229
 
13.3%
청 4970
 
12.7%
립 2223
 
5.7%
공 2001
 
5.1%
민 1410
 
3.6%
간 1410
 
3.6%
양 1318
 
3.4%
인 1158
 
3.0%
경 820
 
2.1%
기 813
 
2.1%
Other values (162) 17888
45.6%
ASCII
ValueCountFrequency (%)
1156
76.5%
) 160
 
10.6%
( 160
 
10.6%
, 11
 
0.7%
2 10
 
0.7%
3 5
 
0.3%
1 5
 
0.3%
7 2
 
0.1%
4 2
 
0.1%
5 1
 
0.1%
None
ValueCountFrequency (%)
· 44
95.7%
㈜ 2
 
4.3%

도로명주소
Text

Distinct9576
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T06:23:51.598557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length53
Mean length22.9287
Min length12

Characters and Unicode

Total characters229287
Distinct characters613
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

Unique9167 ?
Unique (%)91.7%

Sample

1st row경기도 화성시 향남읍 발안남로 34
2nd row경기도 포천시 영북면 영북로203번길 45
3rd row경기도 시흥시 수인로3413번길 34
4th row경기도 용인시 처인구 이동읍 백옥대로587번길 22
5th row경기도 고양시 일산동구 지영로242번길 32
ValueCountFrequency (%)
경기도 9873
 
19.3%
용인시 861
 
1.7%
수원시 706
 
1.4%
고양시 663
 
1.3%
화성시 636
 
1.2%
남양주시 601
 
1.2%
평택시 523
 
1.0%
성남시 483
 
0.9%
부천시 456
 
0.9%
김포시 364
 
0.7%
Other values (10597) 35867
70.3%
2023-12-11T06:23:52.048740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41091
 
17.9%
기 10470
 
4.6%
경 10305
 
4.5%
도 10241
 
4.5%
시 10234
 
4.5%
1 8291
 
3.6%
로 7915
 
3.5%
2 5462
 
2.4%
길 4902
 
2.1%
동 4330
 
1.9%
Other values (603) 116046
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 142924
62.3%
Space Separator 41091
 
17.9%
Decimal Number 38450
 
16.8%
Dash Punctuation 2442
 
1.1%
Close Punctuation 1671
 
0.7%
Open Punctuation 1670
 
0.7%
Other Punctuation 864
 
0.4%
Uppercase Letter 127
 
0.1%
Lowercase Letter 33
 
< 0.1%
Math Symbol 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 10470
 
7.3%
경 10305
 
7.2%
도 10241
 
7.2%
시 10234
 
7.2%
로 7915
 
5.5%
길 4902
 
3.4%
동 4330
 
3.0%
구 3663
 
2.6%
번 3561
 
2.5%
양 3082
 
2.2%
Other values (552) 74221
51.9%
Uppercase Letter
ValueCountFrequency (%)
L 23
18.1%
A 13
10.2%
H 12
9.4%
K 11
8.7%
B 10
7.9%
S 9
 
7.1%
C 8
 
6.3%
G 7
 
5.5%
E 7
 
5.5%
I 5
 
3.9%
Other values (11) 22
17.3%
Decimal Number
ValueCountFrequency (%)
1 8291
21.6%
2 5462
14.2%
3 4218
11.0%
4 3557
9.3%
5 3386
8.8%
6 3126
 
8.1%
7 2814
 
7.3%
0 2811
 
7.3%
8 2417
 
6.3%
9 2368
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
e 14
42.4%
s 6
18.2%
k 4
 
12.1%
c 2
 
6.1%
a 2
 
6.1%
i 1
 
3.0%
n 1
 
3.0%
m 1
 
3.0%
u 1
 
3.0%
b 1
 
3.0%
Other Punctuation
ValueCountFrequency (%)
, 846
97.9%
. 15
 
1.7%
· 2
 
0.2%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
41091
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2442
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1671
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1670
100.0%
Math Symbol
ValueCountFrequency (%)
~ 14
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 142924
62.3%
Common 86203
37.6%
Latin 160
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 10470
 
7.3%
경 10305
 
7.2%
도 10241
 
7.2%
시 10234
 
7.2%
로 7915
 
5.5%
길 4902
 
3.4%
동 4330
 
3.0%
구 3663
 
2.6%
번 3561
 
2.5%
양 3082
 
2.2%
Other values (552) 74221
51.9%
Latin
ValueCountFrequency (%)
L 23
14.4%
e 14
 
8.8%
A 13
 
8.1%
H 12
 
7.5%
K 11
 
6.9%
B 10
 
6.2%
S 9
 
5.6%
C 8
 
5.0%
G 7
 
4.4%
E 7
 
4.4%
Other values (21) 46
28.7%
Common
ValueCountFrequency (%)
41091
47.7%
1 8291
 
9.6%
2 5462
 
6.3%
3 4218
 
4.9%
4 3557
 
4.1%
5 3386
 
3.9%
6 3126
 
3.6%
7 2814
 
3.3%
0 2811
 
3.3%
- 2442
 
2.8%
Other values (10) 9005
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 142924
62.3%
ASCII 86361
37.7%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
41091
47.6%
1 8291
 
9.6%
2 5462
 
6.3%
3 4218
 
4.9%
4 3557
 
4.1%
5 3386
 
3.9%
6 3126
 
3.6%
7 2814
 
3.3%
0 2811
 
3.3%
- 2442
 
2.8%
Other values (40) 9163
 
10.6%
Hangul
ValueCountFrequency (%)
기 10470
 
7.3%
경 10305
 
7.2%
도 10241
 
7.2%
시 10234
 
7.2%
로 7915
 
5.5%
길 4902
 
3.4%
동 4330
 
3.0%
구 3663
 
2.6%
번 3561
 
2.5%
양 3082
 
2.2%
Other values (552) 74221
51.9%
None
ValueCountFrequency (%)
· 2
100.0%

지번주소
Text

Distinct9670
Distinct (%)97.1%
Missing46
Missing (%)0.5%
Memory size156.2 KiB
2023-12-11T06:23:52.338245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length50
Mean length23.949066
Min length11

Characters and Unicode

Total characters238389
Distinct characters573
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9400 ?
Unique (%)94.4%

Sample

1st row경기도 화성시 향남읍 발안리 295번지 발안마을
2nd row경기도 포천시 영북면 운천리 521-27
3rd row경기도 시흥시 신천동 438-1번지
4th row경기도 용인시 처인구 이동읍 천리 1131번지 이동초등학교
5th row경기도 고양시 일산동구 지영동 71-3번지
ValueCountFrequency (%)
경기도 9949
 
19.6%
용인시 861
 
1.7%
수원시 706
 
1.4%
고양시 663
 
1.3%
화성시 637
 
1.3%
남양주시 602
 
1.2%
평택시 523
 
1.0%
성남시 484
 
1.0%
부천시 456
 
0.9%
김포시 364
 
0.7%
Other values (11713) 35641
70.0%
2023-12-11T06:23:52.759652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40940
 
17.2%
기 10399
 
4.4%
도 10364
 
4.3%
시 10134
 
4.3%
경 10058
 
4.2%
지 8587
 
3.6%
동 8464
 
3.6%
1 7691
 
3.2%
번 7223
 
3.0%
- 5471
 
2.3%
Other values (563) 119058
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 152240
63.9%
Space Separator 40940
 
17.2%
Decimal Number 39170
 
16.4%
Dash Punctuation 5471
 
2.3%
Uppercase Letter 235
 
0.1%
Close Punctuation 88
 
< 0.1%
Open Punctuation 88
 
< 0.1%
Other Punctuation 76
 
< 0.1%
Lowercase Letter 72
 
< 0.1%
Math Symbol 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 10399
 
6.8%
도 10364
 
6.8%
시 10134
 
6.7%
경 10058
 
6.6%
지 8587
 
5.6%
동 8464
 
5.6%
번 7223
 
4.7%
리 3669
 
2.4%
구 3655
 
2.4%
양 3135
 
2.1%
Other values (505) 76552
50.3%
Uppercase Letter
ValueCountFrequency (%)
L 28
11.9%
A 21
 
8.9%
E 20
 
8.5%
B 19
 
8.1%
H 19
 
8.1%
S 15
 
6.4%
I 14
 
6.0%
K 12
 
5.1%
G 12
 
5.1%
C 11
 
4.7%
Other values (15) 64
27.2%
Lowercase Letter
ValueCountFrequency (%)
e 35
48.6%
c 6
 
8.3%
s 5
 
6.9%
a 4
 
5.6%
t 4
 
5.6%
k 3
 
4.2%
h 3
 
4.2%
r 2
 
2.8%
i 2
 
2.8%
l 2
 
2.8%
Other values (4) 6
 
8.3%
Decimal Number
ValueCountFrequency (%)
1 7691
19.6%
2 4840
12.4%
3 4019
10.3%
4 3698
9.4%
5 3690
9.4%
6 3510
9.0%
7 3267
8.3%
0 2918
 
7.4%
8 2894
 
7.4%
9 2643
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 47
61.8%
. 26
34.2%
& 2
 
2.6%
/ 1
 
1.3%
Space Separator
ValueCountFrequency (%)
40940
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5471
100.0%
Close Punctuation
ValueCountFrequency (%)
) 88
100.0%
Open Punctuation
ValueCountFrequency (%)
( 88
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 152239
63.9%
Common 85842
36.0%
Latin 307
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 10399
 
6.8%
도 10364
 
6.8%
시 10134
 
6.7%
경 10058
 
6.6%
지 8587
 
5.6%
동 8464
 
5.6%
번 7223
 
4.7%
리 3669
 
2.4%
구 3655
 
2.4%
양 3135
 
2.1%
Other values (504) 76551
50.3%
Latin
ValueCountFrequency (%)
e 35
 
11.4%
L 28
 
9.1%
A 21
 
6.8%
E 20
 
6.5%
B 19
 
6.2%
H 19
 
6.2%
S 15
 
4.9%
I 14
 
4.6%
K 12
 
3.9%
G 12
 
3.9%
Other values (29) 112
36.5%
Common
ValueCountFrequency (%)
40940
47.7%
1 7691
 
9.0%
- 5471
 
6.4%
2 4840
 
5.6%
3 4019
 
4.7%
4 3698
 
4.3%
5 3690
 
4.3%
6 3510
 
4.1%
7 3267
 
3.8%
0 2918
 
3.4%
Other values (9) 5798
 
6.8%
Han
ValueCountFrequency (%)
家 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 152239
63.9%
ASCII 86149
36.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40940
47.5%
1 7691
 
8.9%
- 5471
 
6.4%
2 4840
 
5.6%
3 4019
 
4.7%
4 3698
 
4.3%
5 3690
 
4.3%
6 3510
 
4.1%
7 3267
 
3.8%
0 2918
 
3.4%
Other values (48) 6105
 
7.1%
Hangul
ValueCountFrequency (%)
기 10399
 
6.8%
도 10364
 
6.8%
시 10134
 
6.7%
경 10058
 
6.6%
지 8587
 
5.6%
동 8464
 
5.6%
번 7223
 
4.7%
리 3669
 
2.4%
구 3655
 
2.4%
양 3135
 
2.1%
Other values (504) 76551
50.3%
CJK
ValueCountFrequency (%)
家 1
100.0%

대표전화번호
Text

MISSING 

Distinct4902
Distinct (%)84.0%
Missing4165
Missing (%)41.6%
Memory size156.2 KiB
2023-12-11T06:23:53.008831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.099914
Min length11

Characters and Unicode

Total characters70603
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4720 ?
Unique (%)80.9%

Sample

1st row031-533-5597
2nd row070-7097-1104
3rd row031-323-3218
4th row031-636-5386
5th row031-414-8475
ValueCountFrequency (%)
031-8024-4247 88
 
1.5%
031-390-0417 48
 
0.8%
031-5189-6626 44
 
0.8%
031-590-8601 43
 
0.7%
031-481-5436 36
 
0.6%
031-228-6195 30
 
0.5%
02-2680-6298 28
 
0.5%
031-8045-5022 28
 
0.5%
031-324-6371 27
 
0.5%
031-228-8331 27
 
0.5%
Other values (4892) 5436
93.2%
2023-12-11T06:23:53.362980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 11670
16.5%
0 10406
14.7%
3 9851
14.0%
1 9123
12.9%
2 5110
7.2%
7 4271
 
6.0%
5 4256
 
6.0%
8 4161
 
5.9%
6 4149
 
5.9%
4 3908
 
5.5%
Other values (4) 3698
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 58869
83.4%
Dash Punctuation 11670
 
16.5%
Other Punctuation 55
 
0.1%
Space Separator 7
 
< 0.1%
Control 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10406
17.7%
3 9851
16.7%
1 9123
15.5%
2 5110
8.7%
7 4271
7.3%
5 4256
7.2%
8 4161
 
7.1%
6 4149
 
7.0%
4 3908
 
6.6%
9 3634
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 11670
100.0%
Other Punctuation
ValueCountFrequency (%)
* 55
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 70603
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 11670
16.5%
0 10406
14.7%
3 9851
14.0%
1 9123
12.9%
2 5110
7.2%
7 4271
 
6.0%
5 4256
 
6.0%
8 4161
 
5.9%
6 4149
 
5.9%
4 3908
 
5.5%
Other values (4) 3698
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70603
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 11670
16.5%
0 10406
14.7%
3 9851
14.0%
1 9123
12.9%
2 5110
7.2%
7 4271
 
6.0%
5 4256
 
6.0%
8 4161
 
5.9%
6 4149
 
5.9%
4 3908
 
5.5%
Other values (4) 3698
 
5.2%

특이사항
Text

MISSING 

Distinct330
Distinct (%)63.1%
Missing9477
Missing (%)94.8%
Memory size156.2 KiB
2023-12-11T06:23:53.579694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length35
Mean length10.787763
Min length1

Characters and Unicode

Total characters5642
Distinct characters391
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

Unique287 ?
Unique (%)54.9%

Sample

1st row외부인출입금지,사진촬영어려움
2nd row외부인출입금지,사진촬영어려움,부명초등학교내위치
3rd row126동
4th row수원시청역SKVIEW 건물 안에 있음
5th row도로명주소없음, 팻말사진없음
ValueCountFrequency (%)
없음 33
 
3.5%
전화번호 30
 
3.2%
전화번호x 29
 
3.1%
간판없음 27
 
2.8%
팻말사진없음 18
 
1.9%
팻말없음 17
 
1.8%
외부간판없음 13
 
1.4%
x 12
 
1.3%
도로명주소 11
 
1.2%
따로 10
 
1.1%
Other values (519) 750
78.9%
2023-12-11T06:23:53.960519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
443
 
7.9%
음 202
 
3.6%
없 166
 
2.9%
로 133
 
2.4%
이 118
 
2.1%
사 98
 
1.7%
호 93
 
1.6%
어 91
 
1.6%
간 88
 
1.6%
판 82
 
1.5%
Other values (381) 4128
73.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4639
82.2%
Space Separator 443
 
7.9%
Decimal Number 274
 
4.9%
Other Punctuation 79
 
1.4%
Uppercase Letter 55
 
1.0%
Close Punctuation 45
 
0.8%
Dash Punctuation 40
 
0.7%
Math Symbol 29
 
0.5%
Open Punctuation 28
 
0.5%
Connector Punctuation 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 202
 
4.4%
없 166
 
3.6%
로 133
 
2.9%
이 118
 
2.5%
사 98
 
2.1%
호 93
 
2.0%
어 91
 
2.0%
간 88
 
1.9%
판 82
 
1.8%
번 78
 
1.7%
Other values (347) 3490
75.2%
Decimal Number
ValueCountFrequency (%)
1 50
18.2%
2 46
16.8%
4 41
15.0%
3 35
12.8%
0 26
9.5%
5 25
9.1%
8 23
8.4%
6 17
 
6.2%
9 6
 
2.2%
7 5
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
X 47
85.5%
A 2
 
3.6%
V 1
 
1.8%
K 1
 
1.8%
S 1
 
1.8%
I 1
 
1.8%
W 1
 
1.8%
E 1
 
1.8%
Other Punctuation
ValueCountFrequency (%)
, 55
69.6%
. 14
 
17.7%
/ 5
 
6.3%
: 3
 
3.8%
' 2
 
2.5%
Math Symbol
ValueCountFrequency (%)
> 16
55.2%
~ 9
31.0%
+ 3
 
10.3%
→ 1
 
3.4%
Lowercase Letter
ValueCountFrequency (%)
x 2
66.7%
o 1
33.3%
Space Separator
ValueCountFrequency (%)
443
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4639
82.2%
Common 945
 
16.7%
Latin 58
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 202
 
4.4%
없 166
 
3.6%
로 133
 
2.9%
이 118
 
2.5%
사 98
 
2.1%
호 93
 
2.0%
어 91
 
2.0%
간 88
 
1.9%
판 82
 
1.8%
번 78
 
1.7%
Other values (347) 3490
75.2%
Common
ValueCountFrequency (%)
443
46.9%
, 55
 
5.8%
1 50
 
5.3%
2 46
 
4.9%
) 45
 
4.8%
4 41
 
4.3%
- 40
 
4.2%
3 35
 
3.7%
( 28
 
3.0%
0 26
 
2.8%
Other values (14) 136
 
14.4%
Latin
ValueCountFrequency (%)
X 47
81.0%
A 2
 
3.4%
x 2
 
3.4%
o 1
 
1.7%
V 1
 
1.7%
K 1
 
1.7%
S 1
 
1.7%
I 1
 
1.7%
W 1
 
1.7%
E 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4639
82.2%
ASCII 1002
 
17.8%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
443
44.2%
, 55
 
5.5%
1 50
 
5.0%
X 47
 
4.7%
2 46
 
4.6%
) 45
 
4.5%
4 41
 
4.1%
- 40
 
4.0%
3 35
 
3.5%
( 28
 
2.8%
Other values (23) 172
 
17.2%
Hangul
ValueCountFrequency (%)
음 202
 
4.4%
없 166
 
3.6%
로 133
 
2.9%
이 118
 
2.5%
사 98
 
2.1%
호 93
 
2.0%
어 91
 
2.0%
간 88
 
1.9%
판 82
 
1.8%
번 78
 
1.7%
Other values (347) 3490
75.2%
Arrows
ValueCountFrequency (%)
→ 1
100.0%

이미지명
Text

MISSING 

Distinct6609
Distinct (%)100.0%
Missing3391
Missing (%)33.9%
Memory size156.2 KiB
2023-12-11T06:23:54.153891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters125571
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6609 ?
Unique (%)100.0%

Sample

1st row233124014254_1.jpeg
2nd row213127039048_1.jpeg
3rd row243115052025_1.jpeg
4th row233110360172_1.jpeg
5th row233124042495_1.jpeg
ValueCountFrequency (%)
213126031065_1.jpeg 1
 
< 0.1%
213120055180_1.jpeg 1
 
< 0.1%
213138011008_1.jpeg 1
 
< 0.1%
233103058032_1.jpeg 1
 
< 0.1%
223109273012_1.jpeg 1
 
< 0.1%
233110452196_1.jpeg 1
 
< 0.1%
273117051003_1.jpeg 1
 
< 0.1%
223106065042_1.jpeg 1
 
< 0.1%
213119354086_1.jpeg 1
 
< 0.1%
233135036033_1.jpeg 1
 
< 0.1%
Other values (6599) 6599
99.8%
2023-12-11T06:23:54.447382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 23452
18.7%
3 14025
11.2%
2 13818
11.0%
0 13680
10.9%
_ 6609
 
5.3%
. 6609
 
5.3%
j 6609
 
5.3%
p 6609
 
5.3%
e 6609
 
5.3%
g 6609
 
5.3%
Other values (6) 20942
16.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 85917
68.4%
Lowercase Letter 26436
 
21.1%
Connector Punctuation 6609
 
5.3%
Other Punctuation 6609
 
5.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 23452
27.3%
3 14025
16.3%
2 13818
16.1%
0 13680
15.9%
5 5755
 
6.7%
4 3940
 
4.6%
6 3584
 
4.2%
7 3305
 
3.8%
9 2536
 
3.0%
8 1822
 
2.1%
Lowercase Letter
ValueCountFrequency (%)
j 6609
25.0%
p 6609
25.0%
e 6609
25.0%
g 6609
25.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6609
100.0%
Other Punctuation
ValueCountFrequency (%)
. 6609
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 99135
78.9%
Latin 26436
 
21.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 23452
23.7%
3 14025
14.1%
2 13818
13.9%
0 13680
13.8%
_ 6609
 
6.7%
. 6609
 
6.7%
5 5755
 
5.8%
4 3940
 
4.0%
6 3584
 
3.6%
7 3305
 
3.3%
Other values (2) 4358
 
4.4%
Latin
ValueCountFrequency (%)
j 6609
25.0%
p 6609
25.0%
e 6609
25.0%
g 6609
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 125571
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 23452
18.7%
3 14025
11.2%
2 13818
11.0%
0 13680
10.9%
_ 6609
 
5.3%
. 6609
 
5.3%
j 6609
 
5.3%
p 6609
 
5.3%
e 6609
 
5.3%
g 6609
 
5.3%
Other values (6) 20942
16.7%

데이터기준일자
Date

Distinct68
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-03-16 00:00:00
Maximum2022-12-04 00:00:00
2023-12-11T06:23:54.556734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:23:54.683216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

정제WGS84위도
Real number (ℝ)

HIGH CORRELATION 

Distinct9337
Distinct (%)93.7%
Missing37
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean37.434751
Minimum36.91208
Maximum38.213203
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:23:54.815363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.91208
5-th percentile37.01939
Q137.267542
median37.393151
Q337.64596
95-th percentile37.84915
Maximum38.213203
Range1.3011236
Interquartile range (IQR)0.37841793

Descriptive statistics

Standard deviation0.24704244
Coefficient of variation (CV)0.0065992812
Kurtosis-0.5305592
Mean37.434751
Median Absolute Deviation (MAD)0.17715815
Skewness0.24487482
Sum372962.42
Variance0.061029969
MonotonicityNot monotonic
2023-12-11T06:23:54.952382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4422014192 4
 
< 0.1%
37.6597264793 4
 
< 0.1%
37.6466740514 3
 
< 0.1%
37.5267334193 3
 
< 0.1%
37.6380421015 3
 
< 0.1%
37.6454215274 3
 
< 0.1%
37.2006542187 3
 
< 0.1%
37.177749844 3
 
< 0.1%
37.620307319 3
 
< 0.1%
37.6928664084 3
 
< 0.1%
Other values (9327) 9931
99.3%
(Missing) 37
 
0.4%
ValueCountFrequency (%)
36.9120796008 1
< 0.1%
36.916772471 1
< 0.1%
36.9175631753 1
< 0.1%
36.9181426648 1
< 0.1%
36.9199520563 2
< 0.1%
36.9274664073 1
< 0.1%
36.9290954907 1
< 0.1%
36.9304061833 1
< 0.1%
36.9308102853 1
< 0.1%
36.9318157885 1
< 0.1%
ValueCountFrequency (%)
38.2132031942 1
< 0.1%
38.1896067442 1
< 0.1%
38.1866695815 1
< 0.1%
38.186428925 1
< 0.1%
38.182950099 1
< 0.1%
38.1809350861 1
< 0.1%
38.1784509462 1
< 0.1%
38.1757605897 1
< 0.1%
38.1742265328 1
< 0.1%
38.1664994489 1
< 0.1%

정제WGS84경도
Real number (ℝ)

HIGH CORRELATION 

Distinct9337
Distinct (%)93.7%
Missing37
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean127.04489
Minimum126.39155
Maximum127.79936
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:23:55.062724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.39155
5-th percentile126.73232
Q1126.86503
median127.05269
Q3127.1609
95-th percentile127.48788
Maximum127.79936
Range1.4078079
Interquartile range (IQR)0.29586675

Descriptive statistics

Standard deviation0.22342422
Coefficient of variation (CV)0.0017586242
Kurtosis0.20928699
Mean127.04489
Median Absolute Deviation (MAD)0.1450347
Skewness0.52513094
Sum1265748.2
Variance0.049918383
MonotonicityNot monotonic
2023-12-11T06:23:55.169085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7864358907 4
 
< 0.1%
127.2476121031 4
 
< 0.1%
127.2348242997 3
 
< 0.1%
126.820624554 3
 
< 0.1%
126.6740819996 3
 
< 0.1%
127.2349761137 3
 
< 0.1%
127.1159987749 3
 
< 0.1%
127.0448399923 3
 
< 0.1%
126.8359099832 3
 
< 0.1%
126.780966769 3
 
< 0.1%
Other values (9327) 9931
99.3%
(Missing) 37
 
0.4%
ValueCountFrequency (%)
126.3915488852 1
< 0.1%
126.3934164407 1
< 0.1%
126.5275076507 1
< 0.1%
126.5307740147 1
< 0.1%
126.533993578 1
< 0.1%
126.5380024631 1
< 0.1%
126.5393609218 1
< 0.1%
126.5512240195 1
< 0.1%
126.5521800784 2
< 0.1%
126.5537060514 1
< 0.1%
ValueCountFrequency (%)
127.7993567472 1
< 0.1%
127.7910921485 1
< 0.1%
127.7866215204 1
< 0.1%
127.7766029235 1
< 0.1%
127.7688750232 1
< 0.1%
127.7656632283 1
< 0.1%
127.7566476782 1
< 0.1%
127.7560844275 1
< 0.1%
127.7543797689 1
< 0.1%
127.7538515714 1
< 0.1%

Interactions

2023-12-11T06:23:48.397250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:23:48.207066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:23:48.495866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:23:48.307597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:23:55.243738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명구분명데이터기준일자정제WGS84위도정제WGS84경도
시군구명1.0000.4290.7830.9560.932
구분명0.4291.0000.8720.2640.213
데이터기준일자0.7830.8721.0000.5340.498
정제WGS84위도0.9560.2640.5341.0000.586
정제WGS84경도0.9320.2130.4980.5861.000
2023-12-11T06:23:55.319615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명구분명
시군구명1.0000.115
구분명0.1151.000
2023-12-11T06:23:55.380847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정제WGS84위도정제WGS84경도시군구명구분명
정제WGS84위도1.000-0.1720.7460.101
정제WGS84경도-0.1721.0000.6670.080
시군구명0.7460.6671.0000.115
구분명0.1010.0800.1151.000

Missing values

2023-12-11T06:23:48.804094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:23:48.976258image/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.
2023-12-11T06:23:49.118178image/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

시설명시군구명읍면동명구분명운영기관명도로명주소지번주소대표전화번호특이사항이미지명데이터기준일자정제WGS84위도정제WGS84경도
2378발안주공화성시향남읍경로당화성시청경기도 화성시 향남읍 발안남로 34경기도 화성시 향남읍 발안리 295번지 발안마을<NA><NA>233124014254_1.jpeg2022-11-1137.131702126.901989
3256운천이솝어린이집포천시영북면어린이집민간경기도 포천시 영북면 영북로203번길 45경기도 포천시 영북면 운천리 521-27031-533-5597<NA>213127039048_1.jpeg2022-11-1038.091767127.268976
9800시흥도원초등학교시흥시신천동초등학교국공립경기도 시흥시 수인로3413번길 34경기도 시흥시 신천동 438-1번지070-7097-1104<NA>243115052025_1.jpeg2022-11-0737.440068126.777933
8906용인이동초등학교병설유치원용인시 처인구이동읍유치원공립경기도 용인시 처인구 이동읍 백옥대로587번길 22경기도 용인시 처인구 이동읍 천리 1131번지 이동초등학교031-323-3218<NA><NA>2022-12-0437.190873127.203549
3135지영고양시 일산동구지영동경로당고양시청경기도 고양시 일산동구 지영로242번길 32경기도 고양시 일산동구 지영동 71-3번지<NA><NA>233110360172_1.jpeg2022-11-2337.717432126.830664
10340대림(북변18통) 경로당김포시김포본동경로당김포시청경기도 김포시 김포대로926번길 46경기도 김포시 북변동 808번지 풍년마을대림아파트<NA><NA><NA>2022-12-0437.623056126.716765
2418용소2리화성시양감면경로당화성시청경기도 화성시 양감면 양간큰말길 44-7경기도 화성시 양감면 용소리 330-3번지<NA><NA>233124042495_1.jpeg2022-11-1037.076609126.980701
5716으뜸펀키즈어린이집이천시증포동어린이집민간경기도 이천시 갈산로 21 (증포동)경기도 이천시 증포동 159-2 증포동 159-2 으뜸펀키즈어린이집031-636-5386<NA><NA>2022-12-0437.289345127.455753
16611공세제2호 어린이공원(자봉)용인시 기흥구공세동어린이공원<NA>경기도 용인시 기흥구 공세동 697번지경기도 용인시 기흥구 공세동 697번지<NA><NA><NA>2022-12-0437.243524127.111438
11867안산양지초등학교병설유치원안산시 단원구고잔동유치원국공립경기도 안산시 단원구 안산천남로 129경기도 안산시 단원구 고잔동 781-1번지 안산양지초등학교031-414-8475<NA>223109273013_1.jpeg2022-10-2437.304772126.834678
시설명시군구명읍면동명구분명운영기관명도로명주소지번주소대표전화번호특이사항이미지명데이터기준일자정제WGS84위도정제WGS84경도
7700고양시립삼송어린이집고양시 덕양구삼송동어린이집국공립경기도 고양시 덕양구 덕수천1로 73경기도 고양시 덕양구 삼송동 32102-357-3200<NA>213110170021_1.jpeg2022-11-1437.648865126.884842
6228오남11리(성도아파트)남양주시오남읍경로당남양주시청경기도 남양주시 오남읍 진건오남로759번길 11-7경기도 남양주시 오남읍 오남리 741-2번지 성도아파트<NA><NA><NA>2022-12-0437.695208127.206918
5003고양1리 경로당김포시월곶면경로당김포시청경기도 김포시 월곶면 고양로115번길 209경기도 김포시 월곶면 고양리 450-5번지<NA><NA>233123035099_1.jpeg2022-10-2737.687828126.553706
11009휴튼어린이집파주시와동동어린이집민간경기도 파주시 미래로 562경기도 파주시 와동동 1344031-944-2508<NA>213120056117_1.jpeg2022-11-1537.728699126.75418
10442송죽초등학교병설유치원수원시 장안구송죽동유치원공립경기도 수원시 장안구 송원로41번길 34경기도 수원시 장안구 송죽동 502번지 송죽초등학교 병설유치원031-255-0389<NA>223101159022_1.jpeg2022-10-2437.300761127.006007
3034세움어린이집안산시 상록구건건동어린이집민간경기도 안산시 상록구 건건8길 23 (건건동)경기도 안산시 상록구 건건동 353-1번지031-438-1148<NA>213109171029_1.jpeg2022-11-0237.312614126.905987
18889구름산유치원광명시소하동유치원공립경기도 광명시 한내로13번길 17경기도 광명시 소하동 1283-1번지02-819-9000<NA>223106066014_1.jpeg2022-10-2137.45561126.881793
851증포14통 한솔3차이천시증포동경로당이천시청경기도 이천시 이섭대천로 1451경기도 이천시 증포동 479번지 한솔솔파크3차<NA><NA>233121054378_1.jpeg2022-11-0837.297232127.457316
5750팔탄초등학교대방분교장병설유치원화성시팔탄면유치원공립경기도 화성시 팔탄면 노하길 398경기도 화성시 팔탄면 노하리 173-1번지 팔탄초등학교031-354-8884<NA><NA>2022-12-0437.161897126.87016
13277송정9통 수림1차이천시송정동경로당이천시청경기도 이천시 증신로291번길 105경기도 이천시 송정동 428번지 수림1차아파트<NA><NA>233121054233_1.jpeg2022-11-1037.295384127.435305