Overview

Dataset statistics

Number of variables12
Number of observations10000
Missing cells14222
Missing cells (%)11.9%
Duplicate rows1025
Duplicate rows (%)10.2%
Total size in memory1.0 MiB
Average record size in memory108.0 B

Variable types

Categorical1
Text7
Unsupported1
Numeric3

Dataset

Description경기도_학원 및 교습소 현황
Author경기도교육청
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=POQF9EVK5RB8XOPTEH3D21077469&infSeq=1

Alerts

Dataset has 1025 (10.2%) duplicate rowsDuplicates
소재지우편번호 is highly overall correlated with WGS84위도 and 1 other fieldsHigh correlation
WGS84위도 is highly overall correlated with 소재지우편번호 and 1 other fieldsHigh correlation
WGS84경도 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 소재지우편번호 and 2 other fieldsHigh correlation
구/읍면동명 has 157 (1.6%) missing valuesMissing
업종구분명 has 10000 (100.0%) missing valuesMissing
교습과정명 has 285 (2.9%) missing valuesMissing
전화번호 has 3748 (37.5%) missing valuesMissing
업종구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 22:33:29.729551
Analysis finished2023-12-10 22:33:33.823728
Duration4.09 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
수원시
973 
고양시
960 
용인시
939 
성남시
888 
화성시
694 
Other values (26)
5546 

Length

Max length4
Median length3
Mean length3.0604
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수원시
2nd row부천시
3rd row성남시
4th row부천시
5th row성남시

Common Values

ValueCountFrequency (%)
수원시 973
 
9.7%
고양시 960
 
9.6%
용인시 939
 
9.4%
성남시 888
 
8.9%
화성시 694
 
6.9%
부천시 567
 
5.7%
김포시 512
 
5.1%
안양시 463
 
4.6%
시흥시 440
 
4.4%
안산시 400
 
4.0%
Other values (21) 3164
31.6%

Length

2023-12-11T07:33:33.929035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 973
 
9.7%
고양시 960
 
9.6%
용인시 939
 
9.4%
성남시 888
 
8.9%
화성시 694
 
6.9%
부천시 567
 
5.7%
김포시 512
 
5.1%
안양시 463
 
4.6%
시흥시 440
 
4.4%
안산시 400
 
4.0%
Other values (21) 3164
31.6%

구/읍면동명
Text

MISSING 

Distinct444
Distinct (%)4.5%
Missing157
Missing (%)1.6%
Memory size156.2 KiB
2023-12-11T07:33:34.249011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0303769
Min length2

Characters and Unicode

Total characters29828
Distinct characters214
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

Unique38 ?
Unique (%)0.4%

Sample

1st row이의동
2nd row심곡동
3rd row금광동
4th row고강동
5th row야탑동
ValueCountFrequency (%)
정자동 222
 
2.2%
중동 203
 
2.1%
반송동 177
 
1.8%
영통동 151
 
1.5%
상동 143
 
1.4%
고잔동 131
 
1.3%
호계동 131
 
1.3%
일산동 119
 
1.2%
장기동 117
 
1.2%
창곡동 116
 
1.2%
Other values (432) 8369
84.7%
2023-12-11T07:33:34.738324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 9226
30.9%
산 760
 
2.5%
정 751
 
2.5%
745
 
2.5%
읍 554
 
1.9%
곡 512
 
1.7%
양 348
 
1.2%
신 347
 
1.2%
천 346
 
1.2%
장 345
 
1.2%
Other values (204) 15894
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29047
97.4%
Space Separator 745
 
2.5%
Decimal Number 36
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 9226
31.8%
산 760
 
2.6%
정 751
 
2.6%
읍 554
 
1.9%
곡 512
 
1.8%
양 348
 
1.2%
신 347
 
1.2%
천 346
 
1.2%
장 345
 
1.2%
중 337
 
1.2%
Other values (202) 15521
53.4%
Space Separator
ValueCountFrequency (%)
745
100.0%
Decimal Number
ValueCountFrequency (%)
1 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29047
97.4%
Common 781
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 9226
31.8%
산 760
 
2.6%
정 751
 
2.6%
읍 554
 
1.9%
곡 512
 
1.8%
양 348
 
1.2%
신 347
 
1.2%
천 346
 
1.2%
장 345
 
1.2%
중 337
 
1.2%
Other values (202) 15521
53.4%
Common
ValueCountFrequency (%)
745
95.4%
1 36
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29047
97.4%
ASCII 781
 
2.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 9226
31.8%
산 760
 
2.6%
정 751
 
2.6%
읍 554
 
1.9%
곡 512
 
1.8%
양 348
 
1.2%
신 347
 
1.2%
천 346
 
1.2%
장 345
 
1.2%
중 337
 
1.2%
Other values (202) 15521
53.4%
ASCII
ValueCountFrequency (%)
745
95.4%
1 36
 
4.6%

업종구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

시설명
Text

Distinct8430
Distinct (%)84.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T07:33:34.972160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length29
Mean length8.6962
Min length3

Characters and Unicode

Total characters86962
Distinct characters894
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7141 ?
Unique (%)71.4%

Sample

1st row오르다샘앤클래스광교학원
2nd row헨델음악학원
3rd row성남드림독서실
4th row코너스톤어학원
5th row소아베음악학원
ValueCountFrequency (%)
학원 23
 
0.2%
뮤즈음악학원 8
 
0.1%
비엔나음악학원 8
 
0.1%
이화음악학원 8
 
0.1%
조이음악학원 8
 
0.1%
더쎈학원 7
 
0.1%
씨앤씨미술학원 7
 
0.1%
라온학원 6
 
0.1%
기파랑문해원학원 6
 
0.1%
소리엘음악학원 6
 
0.1%
Other values (8514) 10063
99.1%
2023-12-11T07:33:35.354548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 11407
 
13.1%
원 10063
 
11.6%
어 2353
 
2.7%
스 2124
 
2.4%
이 2010
 
2.3%
수 1947
 
2.2%
영 1622
 
1.9%
음 1487
 
1.7%
악 1465
 
1.7%
아 1233
 
1.4%
Other values (884) 51251
58.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 82734
95.1%
Uppercase Letter 2034
 
2.3%
Lowercase Letter 785
 
0.9%
Decimal Number 429
 
0.5%
Open Punctuation 330
 
0.4%
Close Punctuation 330
 
0.4%
Space Separator 154
 
0.2%
Other Punctuation 140
 
0.2%
Dash Punctuation 18
 
< 0.1%
Math Symbol 6
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 11407
 
13.8%
원 10063
 
12.2%
어 2353
 
2.8%
스 2124
 
2.6%
이 2010
 
2.4%
수 1947
 
2.4%
영 1622
 
2.0%
음 1487
 
1.8%
악 1465
 
1.8%
아 1233
 
1.5%
Other values (804) 47023
56.8%
Uppercase Letter
ValueCountFrequency (%)
E 244
 
12.0%
S 230
 
11.3%
M 168
 
8.3%
T 145
 
7.1%
C 120
 
5.9%
A 111
 
5.5%
B 108
 
5.3%
I 102
 
5.0%
Y 86
 
4.2%
J 83
 
4.1%
Other values (16) 637
31.3%
Lowercase Letter
ValueCountFrequency (%)
e 96
12.2%
i 83
10.6%
s 68
 
8.7%
n 67
 
8.5%
a 62
 
7.9%
u 43
 
5.5%
l 43
 
5.5%
h 43
 
5.5%
o 42
 
5.4%
t 37
 
4.7%
Other values (14) 201
25.6%
Decimal Number
ValueCountFrequency (%)
2 142
33.1%
1 106
24.7%
3 62
14.5%
0 61
14.2%
4 18
 
4.2%
9 11
 
2.6%
7 10
 
2.3%
8 8
 
1.9%
5 7
 
1.6%
6 4
 
0.9%
Other Punctuation
ValueCountFrequency (%)
& 87
62.1%
. 22
 
15.7%
· 10
 
7.1%
; 6
 
4.3%
, 5
 
3.6%
' 4
 
2.9%
! 2
 
1.4%
＆ 2
 
1.4%
? 1
 
0.7%
/ 1
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 329
99.7%
[ 1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 329
99.7%
] 1
 
0.3%
Math Symbol
ValueCountFrequency (%)
+ 5
83.3%
∑ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
154
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 82732
95.1%
Latin 2820
 
3.2%
Common 1408
 
1.6%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 11407
 
13.8%
원 10063
 
12.2%
어 2353
 
2.8%
스 2124
 
2.6%
이 2010
 
2.4%
수 1947
 
2.4%
영 1622
 
2.0%
음 1487
 
1.8%
악 1465
 
1.8%
아 1233
 
1.5%
Other values (802) 47021
56.8%
Latin
ValueCountFrequency (%)
E 244
 
8.7%
S 230
 
8.2%
M 168
 
6.0%
T 145
 
5.1%
C 120
 
4.3%
A 111
 
3.9%
B 108
 
3.8%
I 102
 
3.6%
e 96
 
3.4%
Y 86
 
3.0%
Other values (41) 1410
50.0%
Common
ValueCountFrequency (%)
( 329
23.4%
) 329
23.4%
154
10.9%
2 142
10.1%
1 106
 
7.5%
& 87
 
6.2%
3 62
 
4.4%
0 61
 
4.3%
. 22
 
1.6%
- 18
 
1.3%
Other values (19) 98
 
7.0%
Han
ValueCountFrequency (%)
脈 1
50.0%
美 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 82731
95.1%
ASCII 4214
 
4.8%
None 12
 
< 0.1%
CJK 2
 
< 0.1%
Math Operators 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 11407
 
13.8%
원 10063
 
12.2%
어 2353
 
2.8%
스 2124
 
2.6%
이 2010
 
2.4%
수 1947
 
2.4%
영 1622
 
2.0%
음 1487
 
1.8%
악 1465
 
1.8%
아 1233
 
1.5%
Other values (801) 47020
56.8%
ASCII
ValueCountFrequency (%)
( 329
 
7.8%
) 329
 
7.8%
E 244
 
5.8%
S 230
 
5.5%
M 168
 
4.0%
154
 
3.7%
T 145
 
3.4%
2 142
 
3.4%
C 120
 
2.8%
A 111
 
2.6%
Other values (66) 2242
53.2%
None
ValueCountFrequency (%)
· 10
83.3%
＆ 2
 
16.7%
Math Operators
ValueCountFrequency (%)
∑ 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
CJK
ValueCountFrequency (%)
脈 1
50.0%
美 1
50.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

대표자명
Text

Distinct6999
Distinct (%)70.0%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-11T07:33:35.696342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length3
Mean length3.8724872
Min length2

Characters and Unicode

Total characters38721
Distinct characters578
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5294 ?
Unique (%)52.9%

Sample

1st row오훈희
2nd row이부천
3rd row정경란
4th row김낙승
5th row엄문주
ValueCountFrequency (%)
주식회사 460
 
4.4%
주)웅진씽크빅 52
 
0.5%
주)대교 48
 
0.5%
주)동화세상에듀코 28
 
0.3%
웅진씽크빅 23
 
0.2%
대교 22
 
0.2%
김현정 18
 
0.2%
주)잇올 17
 
0.2%
김은영 15
 
0.1%
이지영 15
 
0.1%
Other values (7044) 9834
93.4%
2023-12-11T07:33:36.239031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 1986
 
5.1%
이 1795
 
4.6%
주 1551
 
4.0%
정 1279
 
3.3%
영 1002
 
2.6%
희 831
 
2.1%
박 779
 
2.0%
은 695
 
1.8%
진 692
 
1.8%
경 667
 
1.7%
Other values (568) 27444
70.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36550
94.4%
Close Punctuation 572
 
1.5%
Open Punctuation 568
 
1.5%
Space Separator 537
 
1.4%
Uppercase Letter 423
 
1.1%
Decimal Number 41
 
0.1%
Lowercase Letter 21
 
0.1%
Other Punctuation 4
 
< 0.1%
Other Symbol 3
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 1986
 
5.4%
이 1795
 
4.9%
주 1551
 
4.2%
정 1279
 
3.5%
영 1002
 
2.7%
희 831
 
2.3%
박 779
 
2.1%
은 695
 
1.9%
진 692
 
1.9%
경 667
 
1.8%
Other values (517) 25273
69.1%
Uppercase Letter
ValueCountFrequency (%)
N 53
12.5%
E 43
 
10.2%
I 38
 
9.0%
A 29
 
6.9%
G 28
 
6.6%
L 25
 
5.9%
U 25
 
5.9%
O 25
 
5.9%
S 23
 
5.4%
H 22
 
5.2%
Other values (15) 112
26.5%
Lowercase Letter
ValueCountFrequency (%)
e 4
19.0%
a 4
19.0%
n 2
9.5%
d 2
9.5%
s 2
9.5%
h 1
 
4.8%
m 1
 
4.8%
o 1
 
4.8%
l 1
 
4.8%
i 1
 
4.8%
Other values (2) 2
9.5%
Decimal Number
ValueCountFrequency (%)
0 11
26.8%
3 10
24.4%
2 8
19.5%
1 8
19.5%
5 2
 
4.9%
4 2
 
4.9%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
& 1
25.0%
, 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 572
100.0%
Open Punctuation
ValueCountFrequency (%)
( 568
100.0%
Space Separator
ValueCountFrequency (%)
537
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36553
94.4%
Common 1724
 
4.5%
Latin 444
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 1986
 
5.4%
이 1795
 
4.9%
주 1551
 
4.2%
정 1279
 
3.5%
영 1002
 
2.7%
희 831
 
2.3%
박 779
 
2.1%
은 695
 
1.9%
진 692
 
1.9%
경 667
 
1.8%
Other values (518) 25276
69.1%
Latin
ValueCountFrequency (%)
N 53
 
11.9%
E 43
 
9.7%
I 38
 
8.6%
A 29
 
6.5%
G 28
 
6.3%
L 25
 
5.6%
U 25
 
5.6%
O 25
 
5.6%
S 23
 
5.2%
H 22
 
5.0%
Other values (27) 133
30.0%
Common
ValueCountFrequency (%)
) 572
33.2%
( 568
32.9%
537
31.1%
0 11
 
0.6%
3 10
 
0.6%
2 8
 
0.5%
1 8
 
0.5%
. 2
 
0.1%
5 2
 
0.1%
- 2
 
0.1%
Other values (3) 4
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36550
94.4%
ASCII 2168
 
5.6%
None 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 1986
 
5.4%
이 1795
 
4.9%
주 1551
 
4.2%
정 1279
 
3.5%
영 1002
 
2.7%
희 831
 
2.3%
박 779
 
2.1%
은 695
 
1.9%
진 692
 
1.9%
경 667
 
1.8%
Other values (517) 25273
69.1%
ASCII
ValueCountFrequency (%)
) 572
26.4%
( 568
26.2%
537
24.8%
N 53
 
2.4%
E 43
 
2.0%
I 38
 
1.8%
A 29
 
1.3%
G 28
 
1.3%
L 25
 
1.2%
U 25
 
1.2%
Other values (40) 250
11.5%
None
ValueCountFrequency (%)
㈜ 3
100.0%

교습과정명
Text

MISSING 

Distinct81
Distinct (%)0.8%
Missing285
Missing (%)2.9%
Memory size156.2 KiB
2023-12-11T07:33:36.472605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length2
Mean length3.6693773
Min length2

Characters and Unicode

Total characters35648
Distinct characters134
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)0.1%

Sample

1st row기타(소)
2nd row음악
3rd row독서실(유아/초·중·고)
4th row실용외국어(유아/초·중·고)
5th row음악
ValueCountFrequency (%)
보습 5097
52.5%
음악 1518
 
15.6%
미술 706
 
7.3%
실용외국어(유아/초·중·고 662
 
6.8%
독서실(유아/초·중·고 327
 
3.4%
무용 216
 
2.2%
보습·논술 161
 
1.7%
기타(소 121
 
1.2%
입시 114
 
1.2%
이·미용 79
 
0.8%
Other values (71) 714
 
7.3%
2023-12-11T07:33:36.828408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
보 5318
 
14.9%
습 5258
 
14.7%
· 2228
 
6.2%
음 1648
 
4.6%
악 1645
 
4.6%
) 1367
 
3.8%
( 1367
 
3.8%
용 1075
 
3.0%
실 1057
 
3.0%
고 1007
 
2.8%
Other values (124) 13678
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29483
82.7%
Other Punctuation 3431
 
9.6%
Close Punctuation 1367
 
3.8%
Open Punctuation 1367
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 5318
18.0%
습 5258
17.8%
음 1648
 
5.6%
악 1645
 
5.6%
용 1075
 
3.6%
실 1057
 
3.6%
고 1007
 
3.4%
중 994
 
3.4%
유 990
 
3.4%
아 989
 
3.4%
Other values (119) 9502
32.2%
Other Punctuation
ValueCountFrequency (%)
· 2228
64.9%
/ 989
28.8%
, 214
 
6.2%
Close Punctuation
ValueCountFrequency (%)
) 1367
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1367
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29483
82.7%
Common 6165
 
17.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 5318
18.0%
습 5258
17.8%
음 1648
 
5.6%
악 1645
 
5.6%
용 1075
 
3.6%
실 1057
 
3.6%
고 1007
 
3.4%
중 994
 
3.4%
유 990
 
3.4%
아 989
 
3.4%
Other values (119) 9502
32.2%
Common
ValueCountFrequency (%)
· 2228
36.1%
) 1367
22.2%
( 1367
22.2%
/ 989
16.0%
, 214
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29483
82.7%
ASCII 3937
 
11.0%
None 2228
 
6.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
보 5318
18.0%
습 5258
17.8%
음 1648
 
5.6%
악 1645
 
5.6%
용 1075
 
3.6%
실 1057
 
3.6%
고 1007
 
3.4%
중 994
 
3.4%
유 990
 
3.4%
아 989
 
3.4%
Other values (119) 9502
32.2%
None
ValueCountFrequency (%)
· 2228
100.0%
ASCII
ValueCountFrequency (%)
) 1367
34.7%
( 1367
34.7%
/ 989
25.1%
, 214
 
5.4%

전화번호
Text

MISSING 

Distinct5547
Distinct (%)88.7%
Missing3748
Missing (%)37.5%
Memory size156.2 KiB
2023-12-11T07:33:37.112703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.035829
Min length11

Characters and Unicode

Total characters75248
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4865 ?
Unique (%)77.8%

Sample

1st row031-217-3111
2nd row032-653-3703
3rd row031-736-3030
4th row032-273-0579
5th row031-706-8757
ValueCountFrequency (%)
031-236-8558 4
 
0.1%
031-272-9555 4
 
0.1%
031-713-8011 4
 
0.1%
031-629-1010 4
 
0.1%
031-998-1609 3
 
< 0.1%
031-919-1919 3
 
< 0.1%
031-928-4797 3
 
< 0.1%
070-8252-0579 3
 
< 0.1%
031-863-0505 3
 
< 0.1%
031-949-9556 3
 
< 0.1%
Other values (5537) 6218
99.5%
2023-12-11T07:33:37.605691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 12504
16.6%
0 11351
15.1%
3 10377
13.8%
1 9729
12.9%
2 5331
7.1%
5 4885
 
6.5%
7 4785
 
6.4%
9 4553
 
6.1%
8 4250
 
5.6%
6 3837
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 62744
83.4%
Dash Punctuation 12504
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11351
18.1%
3 10377
16.5%
1 9729
15.5%
2 5331
8.5%
5 4885
7.8%
7 4785
7.6%
9 4553
7.3%
8 4250
 
6.8%
6 3837
 
6.1%
4 3646
 
5.8%
Dash Punctuation
ValueCountFrequency (%)
- 12504
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 75248
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 12504
16.6%
0 11351
15.1%
3 10377
13.8%
1 9729
12.9%
2 5331
7.1%
5 4885
 
6.5%
7 4785
 
6.4%
9 4553
 
6.1%
8 4250
 
5.6%
6 3837
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 75248
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 12504
16.6%
0 11351
15.1%
3 10377
13.8%
1 9729
12.9%
2 5331
7.1%
5 4885
 
6.5%
7 4785
 
6.4%
9 4553
 
6.1%
8 4250
 
5.6%
6 3837
 
5.1%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct2143
Distinct (%)21.4%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean14394.329
Minimum10011
Maximum18611
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:33:37.768204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10011
5-th percentile10130
Q112102
median14539
Q316704
95-th percentile18434
Maximum18611
Range8600
Interquartile range (IQR)4602

Descriptive statistics

Standard deviation2625.174
Coefficient of variation (CV)0.18237558
Kurtosis-1.1822861
Mean14394.329
Median Absolute Deviation (MAD)2287.5
Skewness-0.14693779
Sum1.4388571 × 108
Variance6891538.4
MonotonicityNot monotonic
2023-12-11T07:33:37.955593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14099 90
 
0.9%
18476 79
 
0.8%
14103 79
 
0.8%
13555 64
 
0.6%
13640 63
 
0.6%
15010 62
 
0.6%
12909 61
 
0.6%
16898 54
 
0.5%
18455 54
 
0.5%
16841 52
 
0.5%
Other values (2133) 9338
93.4%
ValueCountFrequency (%)
10011 1
 
< 0.1%
10019 4
 
< 0.1%
10047 1
 
< 0.1%
10048 1
 
< 0.1%
10059 6
 
0.1%
10062 3
 
< 0.1%
10063 16
0.2%
10065 2
 
< 0.1%
10067 1
 
< 0.1%
10068 26
0.3%
ValueCountFrequency (%)
18611 1
 
< 0.1%
18602 1
 
< 0.1%
18600 8
0.1%
18599 3
 
< 0.1%
18596 1
 
< 0.1%
18594 3
 
< 0.1%
18592 1
 
< 0.1%
18591 8
0.1%
18565 2
 
< 0.1%
18562 1
 
< 0.1%

소재지지번주소
Text

Distinct8923
Distinct (%)89.3%
Missing9
Missing (%)0.1%
Memory size156.2 KiB
2023-12-11T07:33:38.565557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length90
Median length66
Mean length33.230007
Min length16

Characters and Unicode

Total characters332001
Distinct characters639
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7869 ?
Unique (%)78.8%

Sample

1st row경기도 수원시 영통구 이의동 1347-3번지 에듀프라자 303호
2nd row경기도 부천시 심곡동 297-24번지 성주빌딩 4층
3rd row경기도 성남시 중원구 금광동 3117번지 , 3, 4층
4th row경기도 부천시 고강동 377-4번지 2층일부. 3층
5th row경기도 성남시 분당구 야탑동 211-2번지 매화마을 중탑유치원 4층 일부
ValueCountFrequency (%)
경기도 9991
 
14.7%
일부 1223
 
1.8%
2층 1171
 
1.7%
수원시 973
 
1.4%
고양시 960
 
1.4%
용인시 939
 
1.4%
성남시 887
 
1.3%
3층 848
 
1.2%
화성시 694
 
1.0%
분당구 575
 
0.8%
Other values (10298) 49842
73.2%
2023-12-11T07:33:39.162902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
58112
 
17.5%
1 12481
 
3.8%
0 12300
 
3.7%
동 11526
 
3.5%
지 11020
 
3.3%
2 10684
 
3.2%
시 10646
 
3.2%
기 10578
 
3.2%
도 10264
 
3.1%
경 10106
 
3.0%
Other values (629) 174284
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 186447
56.2%
Decimal Number 74873
22.6%
Space Separator 58112
 
17.5%
Dash Punctuation 7708
 
2.3%
Other Punctuation 2649
 
0.8%
Uppercase Letter 1103
 
0.3%
Math Symbol 368
 
0.1%
Open Punctuation 302
 
0.1%
Close Punctuation 287
 
0.1%
Lowercase Letter 117
 
< 0.1%
Other values (2) 35
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 11526
 
6.2%
지 11020
 
5.9%
시 10646
 
5.7%
기 10578
 
5.7%
도 10264
 
5.5%
경 10106
 
5.4%
번 10006
 
5.4%
호 9340
 
5.0%
구 5025
 
2.7%
층 3656
 
2.0%
Other values (555) 94280
50.6%
Uppercase Letter
ValueCountFrequency (%)
A 215
19.5%
B 125
 
11.3%
I 82
 
7.4%
S 75
 
6.8%
C 58
 
5.3%
K 51
 
4.6%
P 49
 
4.4%
E 48
 
4.4%
L 42
 
3.8%
R 42
 
3.8%
Other values (16) 316
28.6%
Lowercase Letter
ValueCountFrequency (%)
e 52
44.4%
l 15
 
12.8%
i 6
 
5.1%
p 6
 
5.1%
o 5
 
4.3%
a 5
 
4.3%
d 5
 
4.3%
r 4
 
3.4%
m 4
 
3.4%
n 3
 
2.6%
Other values (6) 12
 
10.3%
Decimal Number
ValueCountFrequency (%)
1 12481
16.7%
0 12300
16.4%
2 10684
14.3%
3 8592
11.5%
4 7029
9.4%
5 6496
8.7%
6 5148
6.9%
7 4530
 
6.1%
8 4074
 
5.4%
9 3539
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 2487
93.9%
. 83
 
3.1%
· 49
 
1.8%
& 11
 
0.4%
? 8
 
0.3%
@ 5
 
0.2%
: 3
 
0.1%
/ 2
 
0.1%
; 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 17
50.0%
Ⅰ 9
26.5%
Ⅲ 7
20.6%
Ⅳ 1
 
2.9%
Math Symbol
ValueCountFrequency (%)
~ 366
99.5%
+ 2
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 300
99.3%
[ 2
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 285
99.3%
] 2
 
0.7%
Space Separator
ValueCountFrequency (%)
58112
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7708
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 186447
56.2%
Common 144300
43.5%
Latin 1254
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 11526
 
6.2%
지 11020
 
5.9%
시 10646
 
5.7%
기 10578
 
5.7%
도 10264
 
5.5%
경 10106
 
5.4%
번 10006
 
5.4%
호 9340
 
5.0%
구 5025
 
2.7%
층 3656
 
2.0%
Other values (555) 94280
50.6%
Latin
ValueCountFrequency (%)
A 215
17.1%
B 125
 
10.0%
I 82
 
6.5%
S 75
 
6.0%
C 58
 
4.6%
e 52
 
4.1%
K 51
 
4.1%
P 49
 
3.9%
E 48
 
3.8%
L 42
 
3.3%
Other values (36) 457
36.4%
Common
ValueCountFrequency (%)
58112
40.3%
1 12481
 
8.6%
0 12300
 
8.5%
2 10684
 
7.4%
3 8592
 
6.0%
- 7708
 
5.3%
4 7029
 
4.9%
5 6496
 
4.5%
6 5148
 
3.6%
7 4530
 
3.1%
Other values (18) 11220
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 186444
56.2%
ASCII 145471
43.8%
None 49
 
< 0.1%
Number Forms 34
 
< 0.1%
Compat Jamo 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
58112
39.9%
1 12481
 
8.6%
0 12300
 
8.5%
2 10684
 
7.3%
3 8592
 
5.9%
- 7708
 
5.3%
4 7029
 
4.8%
5 6496
 
4.5%
6 5148
 
3.5%
7 4530
 
3.1%
Other values (59) 12391
 
8.5%
Hangul
ValueCountFrequency (%)
동 11526
 
6.2%
지 11020
 
5.9%
시 10646
 
5.7%
기 10578
 
5.7%
도 10264
 
5.5%
경 10106
 
5.4%
번 10006
 
5.4%
호 9340
 
5.0%
구 5025
 
2.7%
층 3656
 
2.0%
Other values (553) 94277
50.6%
None
ValueCountFrequency (%)
· 49
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 17
50.0%
Ⅰ 9
26.5%
Ⅲ 7
20.6%
Ⅳ 1
 
2.9%
Compat Jamo
ValueCountFrequency (%)
ㅣ 2
66.7%
ㆍ 1
33.3%

소재지도로명주소
Text

Distinct8945
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T07:33:39.550910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length94
Median length70
Mean length39.219
Min length17

Characters and Unicode

Total characters392190
Distinct characters671
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7901 ?
Unique (%)79.0%

Sample

1st row경기도 수원시 영통구 도청로89번길 43 , 303호 (이의동)
2nd row경기도 부천시 신흥로93번길 14 , 성주빌딩 4층 (심곡동)
3rd row경기도 성남시 중원구 광명로 369 , 3, 4층 (금광동)
4th row경기도 부천시 역곡로482번길 45 , 2층일부. 3층 (고강동)
5th row경기도 성남시 분당구 장미로 173 , 4층 일부 (야탑동, 매화마을 중탑유치원)
ValueCountFrequency (%)
경기도 9999
 
11.8%
8716
 
10.3%
2층 1039
 
1.2%
수원시 973
 
1.1%
고양시 960
 
1.1%
용인시 939
 
1.1%
일부 933
 
1.1%
성남시 888
 
1.0%
3층 752
 
0.9%
화성시 694
 
0.8%
Other values (9924) 58963
69.5%
2023-12-11T07:33:40.077166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
76219
 
19.4%
, 16098
 
4.1%
동 12374
 
3.2%
1 11821
 
3.0%
0 11711
 
3.0%
2 10869
 
2.8%
시 10833
 
2.8%
기 10695
 
2.7%
도 10408
 
2.7%
경 10309
 
2.6%
Other values (661) 210853
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 206442
52.6%
Space Separator 76219
 
19.4%
Decimal Number 69425
 
17.7%
Other Punctuation 16261
 
4.1%
Open Punctuation 10134
 
2.6%
Close Punctuation 10130
 
2.6%
Dash Punctuation 1973
 
0.5%
Uppercase Letter 1087
 
0.3%
Math Symbol 371
 
0.1%
Lowercase Letter 113
 
< 0.1%
Other values (2) 35
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 12374
 
6.0%
시 10833
 
5.2%
기 10695
 
5.2%
도 10408
 
5.0%
경 10309
 
5.0%
로 9755
 
4.7%
호 9373
 
4.5%
구 5148
 
2.5%
층 3671
 
1.8%
길 3323
 
1.6%
Other values (586) 120553
58.4%
Uppercase Letter
ValueCountFrequency (%)
A 216
19.9%
B 125
11.5%
I 80
 
7.4%
S 75
 
6.9%
C 56
 
5.2%
P 49
 
4.5%
K 49
 
4.5%
E 46
 
4.2%
R 44
 
4.0%
L 40
 
3.7%
Other values (16) 307
28.2%
Lowercase Letter
ValueCountFrequency (%)
e 49
43.4%
l 13
 
11.5%
p 6
 
5.3%
i 6
 
5.3%
d 5
 
4.4%
o 5
 
4.4%
a 5
 
4.4%
r 4
 
3.5%
m 4
 
3.5%
b 3
 
2.7%
Other values (6) 13
 
11.5%
Other Punctuation
ValueCountFrequency (%)
, 16098
99.0%
. 81
 
0.5%
· 49
 
0.3%
& 10
 
0.1%
@ 8
 
< 0.1%
: 6
 
< 0.1%
? 4
 
< 0.1%
？ 2
 
< 0.1%
/ 2
 
< 0.1%
; 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 11821
17.0%
0 11711
16.9%
2 10869
15.7%
3 8401
12.1%
4 6652
9.6%
5 5694
8.2%
6 4342
 
6.3%
7 3914
 
5.6%
8 3261
 
4.7%
9 2760
 
4.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 17
50.0%
Ⅰ 9
26.5%
Ⅲ 7
20.6%
Ⅳ 1
 
2.9%
Open Punctuation
ValueCountFrequency (%)
( 10132
> 99.9%
[ 2
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 10128
> 99.9%
] 2
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 369
99.5%
+ 2
 
0.5%
Space Separator
ValueCountFrequency (%)
76219
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1973
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 206442
52.6%
Common 184514
47.0%
Latin 1234
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 12374
 
6.0%
시 10833
 
5.2%
기 10695
 
5.2%
도 10408
 
5.0%
경 10309
 
5.0%
로 9755
 
4.7%
호 9373
 
4.5%
구 5148
 
2.5%
층 3671
 
1.8%
길 3323
 
1.6%
Other values (586) 120553
58.4%
Latin
ValueCountFrequency (%)
A 216
17.5%
B 125
 
10.1%
I 80
 
6.5%
S 75
 
6.1%
C 56
 
4.5%
e 49
 
4.0%
P 49
 
4.0%
K 49
 
4.0%
E 46
 
3.7%
R 44
 
3.6%
Other values (36) 445
36.1%
Common
ValueCountFrequency (%)
76219
41.3%
, 16098
 
8.7%
1 11821
 
6.4%
0 11711
 
6.3%
2 10869
 
5.9%
( 10132
 
5.5%
) 10128
 
5.5%
3 8401
 
4.6%
4 6652
 
3.6%
5 5694
 
3.1%
Other values (19) 16789
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 206439
52.6%
ASCII 185663
47.3%
None 51
 
< 0.1%
Number Forms 34
 
< 0.1%
Compat Jamo 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
76219
41.1%
, 16098
 
8.7%
1 11821
 
6.4%
0 11711
 
6.3%
2 10869
 
5.9%
( 10132
 
5.5%
) 10128
 
5.5%
3 8401
 
4.5%
4 6652
 
3.6%
5 5694
 
3.1%
Other values (59) 17938
 
9.7%
Hangul
ValueCountFrequency (%)
동 12374
 
6.0%
시 10833
 
5.2%
기 10695
 
5.2%
도 10408
 
5.0%
경 10309
 
5.0%
로 9755
 
4.7%
호 9373
 
4.5%
구 5148
 
2.5%
층 3671
 
1.8%
길 3323
 
1.6%
Other values (584) 120550
58.4%
None
ValueCountFrequency (%)
· 49
96.1%
？ 2
 
3.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 17
50.0%
Ⅰ 9
26.5%
Ⅲ 7
20.6%
Ⅳ 1
 
2.9%
Compat Jamo
ValueCountFrequency (%)
ㅣ 2
66.7%
ㆍ 1
33.3%

WGS84위도
Real number (ℝ)

HIGH CORRELATION 

Distinct5553
Distinct (%)55.6%
Missing9
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean37.420044
Minimum36.918217
Maximum38.092281
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:33:40.198183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.918217
5-th percentile37.079432
Q137.283338
median37.383269
Q337.600666
95-th percentile37.741192
Maximum38.092281
Range1.1740637
Interquartile range (IQR)0.31732731

Descriptive statistics

Standard deviation0.19952047
Coefficient of variation (CV)0.0053319145
Kurtosis-0.42090862
Mean37.420044
Median Absolute Deviation (MAD)0.12374612
Skewness0.1543524
Sum373863.66
Variance0.039808419
MonotonicityNot monotonic
2023-12-11T07:33:40.320615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4727049587 24
 
0.2%
37.4722444139 19
 
0.2%
37.3711930296 19
 
0.2%
37.630306106 17
 
0.2%
37.3715536132 16
 
0.2%
37.3708455138 16
 
0.2%
37.2545081228 14
 
0.1%
37.6707056974 14
 
0.1%
37.3081200142 14
 
0.1%
37.3681645175 13
 
0.1%
Other values (5543) 9825
98.2%
ValueCountFrequency (%)
36.9182170546 1
 
< 0.1%
36.9630717756 1
 
< 0.1%
36.9632947906 1
 
< 0.1%
36.9647505107 1
 
< 0.1%
36.9770949264 1
 
< 0.1%
36.9778170057 1
 
< 0.1%
36.9786795345 3
< 0.1%
36.9789601868 1
 
< 0.1%
36.9791360455 1
 
< 0.1%
36.9812338285 2
< 0.1%
ValueCountFrequency (%)
38.0922807437 2
< 0.1%
38.090422656 1
< 0.1%
38.0889911776 1
< 0.1%
38.0305078215 1
< 0.1%
38.0302311623 1
< 0.1%
38.0291195158 1
< 0.1%
38.0289946714 1
< 0.1%
38.0287790384 2
< 0.1%
38.0282028174 1
< 0.1%
38.0265718609 2
< 0.1%

WGS84경도
Real number (ℝ)

HIGH CORRELATION 

Distinct5553
Distinct (%)55.6%
Missing9
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean126.99601
Minimum126.59549
Maximum127.64728
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:33:40.452056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.59549
5-th percentile126.72625
Q1126.83156
median127.04409
Q3127.11385
95-th percentile127.25171
Maximum127.64728
Range1.0517904
Interquartile range (IQR)0.28229547

Descriptive statistics

Standard deviation0.18128737
Coefficient of variation (CV)0.0014275044
Kurtosis0.097711707
Mean126.99601
Median Absolute Deviation (MAD)0.10990273
Skewness0.21708793
Sum1268817.2
Variance0.032865111
MonotonicityNot monotonic
2023-12-11T07:33:40.593580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1429411379 24
 
0.2%
127.1426605976 19
 
0.2%
127.1062766842 19
 
0.2%
126.833248425 17
 
0.2%
127.1062860938 16
 
0.2%
127.1074869576 16
 
0.2%
127.074983256 14
 
0.1%
126.7581282251 14
 
0.1%
126.8306536124 14
 
0.1%
127.1063150979 13
 
0.1%
Other values (5543) 9825
98.2%
ValueCountFrequency (%)
126.5954931657 1
 
< 0.1%
126.5955590242 1
 
< 0.1%
126.5966352318 2
< 0.1%
126.6217097447 1
 
< 0.1%
126.6232141562 1
 
< 0.1%
126.6233050146 1
 
< 0.1%
126.6236325537 3
< 0.1%
126.6237046292 1
 
< 0.1%
126.6240981846 1
 
< 0.1%
126.624142667 1
 
< 0.1%
ValueCountFrequency (%)
127.6472836094 1
< 0.1%
127.6467657953 1
< 0.1%
127.645819789 1
< 0.1%
127.6451846932 1
< 0.1%
127.6442546176 1
< 0.1%
127.6441891061 1
< 0.1%
127.6436349228 1
< 0.1%
127.6435567167 1
< 0.1%
127.6433355471 2
< 0.1%
127.64265616 1
< 0.1%

Interactions

2023-12-11T07:33:32.944920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:33:32.345099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:33:32.627924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:33:33.043786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:33:32.434181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:33:32.712984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:33:33.137383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:33:32.535400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:33:32.822159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:33:40.669248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명교습과정명소재지우편번호WGS84위도WGS84경도
시군명1.0000.3390.9920.9610.956
교습과정명0.3391.0000.2490.1630.184
소재지우편번호0.9920.2491.0000.9060.870
WGS84위도0.9610.1630.9061.0000.719
WGS84경도0.9560.1840.8700.7191.000
2023-12-11T07:33:40.752802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도시군명
소재지우편번호1.000-0.9210.3210.929
WGS84위도-0.9211.000-0.3310.774
WGS84경도0.321-0.3311.0000.754
시군명0.9290.7740.7541.000

Missing values

2023-12-11T07:33:33.276842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:33:33.473346image/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.
2023-12-11T07:33:33.655788image/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

시군명구/읍면동명업종구분명시설명대표자명교습과정명전화번호소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
22613수원시이의동<NA>오르다샘앤클래스광교학원오훈희기타(소)031-217-311116509경기도 수원시 영통구 이의동 1347-3번지 에듀프라자 303호경기도 수원시 영통구 도청로89번길 43 , 303호 (이의동)37.289154127.047227
13785부천시심곡동<NA>헨델음악학원이부천음악032-653-370314612경기도 부천시 심곡동 297-24번지 성주빌딩 4층경기도 부천시 신흥로93번길 14 , 성주빌딩 4층 (심곡동)37.492342126.77726
15526성남시금광동<NA>성남드림독서실정경란독서실(유아/초·중·고)031-736-303013176경기도 성남시 중원구 금광동 3117번지 , 3, 4층경기도 성남시 중원구 광명로 369 , 3, 4층 (금광동)37.446806127.166749
12458부천시고강동<NA>코너스톤어학원김낙승실용외국어(유아/초·중·고)032-273-057914408경기도 부천시 고강동 377-4번지 2층일부. 3층경기도 부천시 역곡로482번길 45 , 2층일부. 3층 (고강동)37.526883126.81845
17403성남시야탑동<NA>소아베음악학원엄문주음악031-706-875713502경기도 성남시 분당구 야탑동 211-2번지 매화마을 중탑유치원 4층 일부경기도 성남시 분당구 장미로 173 , 4층 일부 (야탑동, 매화마을 중탑유치원)37.413251127.140172
28138안성시공도읍<NA>고대국어학원곽효준김양선보습<NA>17561경기도 안성시 공도읍 만정리 808-1번지 4층경기도 안성시 공도읍 공도4로 23 , 4층 (공도읍)37.001939127.170982
33356용인시동천동<NA>유투엠한스학원김병필보습031-266-224016826경기도 용인시 수지구 동천동 371-5번지 동천코아프라자 401,405호경기도 용인시 수지구 동천로 39 , 401,405호 (동천동,동천코아프라자)37.340394127.098648
33581용인시마북동<NA>더뮤즈모던앤발레학원김지원무용<NA>16920경기도 용인시 기흥구 마북동 320-2번지 5층경기도 용인시 기흥구 구성로 58 , 5층(마북동 320-2) (마북동)37.29476127.11604
9066김포시구래동<NA>제이아트기타바이올린음악학원박우정음악031-988-281410071경기도 김포시 구래동 6880-5번지 한강메디플라자 205호경기도 김포시 김포한강4로 521 , 205호 (구래동, 한강메디플라자)37.645844126.626116
23449수원시천천동<NA>이엠영수학원이규봉천명규보습031-271-357716329경기도 수원시 장안구 천천동 527-4번지 광장프라자 802호경기도 수원시 장안구 만석로19번길 25-6 , 802호 (천천동, 광장프라자)37.296543126.982859
시군명구/읍면동명업종구분명시설명대표자명교습과정명전화번호소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
42401평택시합정동<NA>김경화스트라드바이올린학원김경화음악031-651-133917904경기도 평택시 합정동 773-4번지 3층 전부경기도 평택시 평남로 635 , 3층 전부 (합정동)36.990772127.106549
11460남양주시와부읍<NA>에이블청담(ABLE ChungDam)학원오세정보습031-521-865512274경기도 남양주시 와부읍 도곡리 997-10번지 2층 일부경기도 남양주시 와부읍 덕소로 218 , 2층 일부 (와부읍)37.5795127.220498
16461성남시성남동<NA>열린카이젠보습학원최금순보습031-754-006213360경기도 성남시 중원구 성남동 2582번지 2층경기도 성남시 중원구 원터로106번길 4 (성남동) 2층37.436154127.142798
14200부천시옥길동<NA>와이키즈부천옥길센터창의학원허길수기타(소)<NA>14786경기도 부천시 옥길동 744-3번지 O 201호, 202호경기도 부천시 옥길로 110-11 , 201호, 202호 (옥길동, O)37.466475126.823183
9531김포시북변동<NA>하모니음악학원윤영아음악031-998-017810097경기도 김포시 북변동 821번지 황금프라자 401호경기도 김포시 사우중로73번길 30 황금프라자 401호 (북변동)37.622242126.720479
43409하남시망월동<NA>뉴뮤직실용음악학원김주원음악<NA>12909경기도 하남시 망월동 968-1번지 미사센트럴프라자 601호경기도 하남시 미사강변대로 212 , 601호 (망월동, 미사센트럴프라자)37.56862127.184722
9143김포시구래동<NA>베이징중국어학원김예진보습031-985-328810071경기도 김포시 구래동 6880-4번지 메트로타워 701호경기도 김포시 김포한강4로 515 , 701호 (구래동,메트로타워)37.64592126.626523
11646남양주시진접읍<NA>풍양학원이금자보습031-529-234012072경기도 남양주시 진접읍 내각리 745번지 2층경기도 남양주시 진접읍 내각1로73번길 6 2층37.704732127.165053
46481화성시영천동<NA>아임아트미술학원최한나미술<NA>18472경기도 화성시 영천동 678-6번지 삼성프라자 601호경기도 화성시 동탄순환대로 689 , 삼성프라자 601호 (영천동)37.206253127.110719
35489용인시역북동<NA>엠트리(M-Tree)수학학원김경원보습<NA>17055경기도 용인시 처인구 역북동 748-2번지 디엠씨타워 304호경기도 용인시 처인구 명지로16번길 9-23 , 디엠씨타워 304호 (역북동)37.233064127.188142

Duplicate rows

Most frequently occurring

시군명구/읍면동명시설명대표자명교습과정명전화번호소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도# duplicates
0가평군설악면깊은생각영수전문학원강수진보습031-585-851012465경기도 가평군 설악면 신천리 450-3번지 2층경기도 가평군 설악면 신천중앙로 128 , 2층 (설악면)37.678212127.4897372
1가평군청평면랩씨앤씨커피교육학원(주)아이엠에스홀딩스식음료품(바리스타,소믈리에)080-070-705212451경기도 가평군 청평면 청평리 312-9번지 1층경기도 가평군 청평면 톳골길 3 , 1층 (청평면)37.740072127.4209822
2고양시가좌동아트가쿵스튜디오미술학원김수연미술031-923-233410211경기도 고양시 일산서구 가좌동 1086번지 가좌마을 상가동 304호 일부경기도 고양시 일산서구 가좌2로 20 , 가좌마을상가동 304호일부 (가좌동)37.688557126.7225982
3고양시고양동꼬꼬무아트학원송미은미술031-969-006710270경기도 고양시 덕양구 고양동 721번지 고양 e-PLAZA 503호경기도 고양시 덕양구 푸른마을로 6 , , 고양 e-PLAZA 503호 (고양동)37.708897126.9029522
4고양시고양동쎈+수학학원안진숙보습<NA>10275경기도 고양시 덕양구 고양동 240-2번지 정훈빌딩 3층경기도 고양시 덕양구 혜음로 15 , 정훈빌딩 3층 (고양동)37.701914126.9016582
5고양시관산동골드타임독서실(주)아이에스골든에이앤씨독서실(유아/초·중·고)<NA>10285경기도 고양시 덕양구 관산동 180-1번지 준성타운 501호,501-1호,701호702호경기도 고양시 덕양구 통일로768번길 18 , 501호,501-1호,701호702호 (관산동, 준성타운)37.688549126.8657212
6고양시관산동윤선생영어고양관산학원국윤수보습031-963-055010287경기도 고양시 덕양구 관산동 238-10번지 2층 일부경기도 고양시 덕양구 통일로 797 2층일부 (관산동)37.688546126.8619672
7고양시내유동플러스한빛학원윤삼영보습031-963-824010264경기도 고양시 덕양구 내유동 431-3번지 2층 전체경기도 고양시 덕양구 통일로1108번길 195 , 2층 전체 (내유동)37.714537126.8514762
8고양시대화동뉴웨이브영어학원이정림보습<NA>10219경기도 고양시 일산서구 대화동 1464-7번지 대륙종합상가 211호경기도 고양시 일산서구 송포로 35 , 대륙종합상가 211호 (대화동)37.669631126.7323772
9고양시대화동대화지앤비학원박대순보습031-924-051110218경기도 고양시 일산서구 대화동 751-10번지 201호경기도 고양시 일산서구 대화1로 74 , 201호 (대화동)37.671341126.7347862