Overview

Dataset statistics

Number of variables11
Number of observations737
Missing cells920
Missing cells (%)11.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory65.6 KiB
Average record size in memory91.2 B

Variable types

Categorical2
Text6
Numeric3

Dataset

Description경기도 평생교육 법령 기관 현황
Author경기도평생교육진흥원
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=HL971QYAE2BAWB1ORITC31627019&infSeq=1

Alerts

정제우편번호 is highly overall correlated with 정제WGS84위도 and 1 other fieldsHigh correlation
정제WGS84위도 is highly overall correlated with 정제우편번호 and 1 other fieldsHigh correlation
정제WGS84경도 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 정제우편번호 and 2 other fieldsHigh correlation
세부장소명 has 721 (97.8%) missing valuesMissing
URL has 170 (23.1%) missing valuesMissing
정제도로명주소 has 19 (2.6%) missing valuesMissing

Reproduction

Analysis started2023-12-22 21:33:05.916766
Analysis finished2023-12-22 21:33:16.997411
Duration11.08 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
수원시
82 
성남시
72 
용인시
71 
고양시
66 
안산시
49 
Other values (26)
397 

Length

Max length4
Median length3
Mean length3.0705563
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row고양시
2nd row고양시
3rd row고양시
4th row고양시
5th row고양시

Common Values

ValueCountFrequency (%)
수원시 82
 
11.1%
성남시 72
 
9.8%
용인시 71
 
9.6%
고양시 66
 
9.0%
안산시 49
 
6.6%
부천시 45
 
6.1%
안양시 40
 
5.4%
화성시 32
 
4.3%
의정부시 25
 
3.4%
김포시 21
 
2.8%
Other values (21) 234
31.8%

Length

2023-12-22T21:33:17.408919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 82
 
11.1%
성남시 72
 
9.8%
용인시 71
 
9.6%
고양시 66
 
9.0%
안산시 49
 
6.6%
부천시 45
 
6.1%
안양시 40
 
5.4%
화성시 32
 
4.3%
의정부시 25
 
3.4%
김포시 21
 
2.8%
Other values (21) 234
31.8%

기관명
Text

Distinct726
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2023-12-22T21:33:18.278569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length24
Mean length11.880597
Min length3

Characters and Unicode

Total characters8756
Distinct characters471
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

Unique717 ?
Unique (%)97.3%

Sample

1st row패스업원격평생교육원
2nd row씨티평생교육원
3rd row윤채림필라테스평생교육원
4th row연승평생교육원
5th row빛자기리더평생교육원
ValueCountFrequency (%)
평생교육원 87
 
8.7%
부설 61
 
6.1%
평생교육시설 8
 
0.8%
풀잎문화센터 6
 
0.6%
문화센터 5
 
0.5%
원격평생교육원 4
 
0.4%
컬처클럽 4
 
0.4%
다문화평생교육원 3
 
0.3%
사회교육원 3
 
0.3%
파주 3
 
0.3%
Other values (790) 813
81.5%
2023-12-22T21:33:20.208305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 672
 
7.7%
원 628
 
7.2%
육 594
 
6.8%
평 555
 
6.3%
생 541
 
6.2%
260
 
3.0%
스 198
 
2.3%
설 125
 
1.4%
학 124
 
1.4%
점 124
 
1.4%
Other values (461) 4935
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8254
94.3%
Space Separator 260
 
3.0%
Uppercase Letter 132
 
1.5%
Open Punctuation 35
 
0.4%
Close Punctuation 35
 
0.4%
Lowercase Letter 17
 
0.2%
Decimal Number 15
 
0.2%
Other Punctuation 4
 
< 0.1%
Other Symbol 3
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 672
 
8.1%
원 628
 
7.6%
육 594
 
7.2%
평 555
 
6.7%
생 541
 
6.6%
스 198
 
2.4%
설 125
 
1.5%
학 124
 
1.5%
점 124
 
1.5%
라 111
 
1.3%
Other values (412) 4582
55.5%
Uppercase Letter
ValueCountFrequency (%)
A 22
16.7%
C 15
 
11.4%
Y 11
 
8.3%
S 7
 
5.3%
W 7
 
5.3%
P 7
 
5.3%
E 6
 
4.5%
I 6
 
4.5%
D 5
 
3.8%
K 5
 
3.8%
Other values (13) 41
31.1%
Lowercase Letter
ValueCountFrequency (%)
t 2
11.8%
i 2
11.8%
e 2
11.8%
a 2
11.8%
k 1
 
5.9%
y 1
 
5.9%
m 1
 
5.9%
c 1
 
5.9%
d 1
 
5.9%
p 1
 
5.9%
Other values (3) 3
17.6%
Decimal Number
ValueCountFrequency (%)
2 4
26.7%
1 3
20.0%
6 2
13.3%
3 2
13.3%
0 2
13.3%
9 1
 
6.7%
5 1
 
6.7%
Space Separator
ValueCountFrequency (%)
260
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Other Punctuation
ValueCountFrequency (%)
& 4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8257
94.3%
Common 350
 
4.0%
Latin 149
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 672
 
8.1%
원 628
 
7.6%
육 594
 
7.2%
평 555
 
6.7%
생 541
 
6.6%
스 198
 
2.4%
설 125
 
1.5%
학 124
 
1.5%
점 124
 
1.5%
라 111
 
1.3%
Other values (413) 4585
55.5%
Latin
ValueCountFrequency (%)
A 22
 
14.8%
C 15
 
10.1%
Y 11
 
7.4%
S 7
 
4.7%
W 7
 
4.7%
P 7
 
4.7%
E 6
 
4.0%
I 6
 
4.0%
D 5
 
3.4%
K 5
 
3.4%
Other values (26) 58
38.9%
Common
ValueCountFrequency (%)
260
74.3%
( 35
 
10.0%
) 35
 
10.0%
2 4
 
1.1%
& 4
 
1.1%
1 3
 
0.9%
6 2
 
0.6%
3 2
 
0.6%
0 2
 
0.6%
- 1
 
0.3%
Other values (2) 2
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8254
94.3%
ASCII 499
 
5.7%
None 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 672
 
8.1%
원 628
 
7.6%
육 594
 
7.2%
평 555
 
6.7%
생 541
 
6.6%
스 198
 
2.4%
설 125
 
1.5%
학 124
 
1.5%
점 124
 
1.5%
라 111
 
1.3%
Other values (412) 4582
55.5%
ASCII
ValueCountFrequency (%)
260
52.1%
( 35
 
7.0%
) 35
 
7.0%
A 22
 
4.4%
C 15
 
3.0%
Y 11
 
2.2%
S 7
 
1.4%
W 7
 
1.4%
P 7
 
1.4%
E 6
 
1.2%
Other values (38) 94
 
18.8%
None
ValueCountFrequency (%)
㈜ 3
100.0%

기관유형대분류
Categorical

Distinct9
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
언론기관부설
250 
원격형태
115 
지식·인력개발형태
85 
시민사회단체부설
84 
평생학습관
71 
Other values (4)
132 

Length

Max length9
Median length8
Mean length6.1736771
Min length4

Unique

Unique2 ?
Unique (%)0.3%

Sample

1st row원격형태
2nd row언론기관부설
3rd row언론기관부설
4th row언론기관부설
5th row언론기관부설

Common Values

ValueCountFrequency (%)
언론기관부설 250
33.9%
원격형태 115
15.6%
지식·인력개발형태 85
 
11.5%
시민사회단체부설 84
 
11.4%
평생학습관 71
 
9.6%
사업장부설 65
 
8.8%
대학(원)부설 65
 
8.8%
시도평생교육진흥원 1
 
0.1%
초.중등 학교부설 1
 
0.1%

Length

2023-12-22T21:33:20.850064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-22T21:33:21.542389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
언론기관부설 250
33.9%
원격형태 115
15.6%
지식·인력개발형태 85
 
11.5%
시민사회단체부설 84
 
11.4%
평생학습관 71
 
9.6%
사업장부설 65
 
8.8%
대학(원)부설 65
 
8.8%
시도평생교육진흥원 1
 
0.1%
초.중등 1
 
0.1%
학교부설 1
 
0.1%

세부장소명
Text

MISSING 

Distinct16
Distinct (%)100.0%
Missing721
Missing (%)97.8%
Memory size5.9 KiB
2023-12-22T21:33:22.362585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length7.375
Min length2

Characters and Unicode

Total characters118
Distinct characters62
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)100.0%

Sample

1st row6층
2nd row평생교육원
3rd row글로벌관 305호
4th row산학협력원 1층 109호
5th row수봉관 607호
ValueCountFrequency (%)
6층 2
 
7.7%
일부 2
 
7.7%
평생교육원 1
 
3.8%
일호골든타워 1
 
3.8%
이마트중동점 1
 
3.8%
보은타운 1
 
3.8%
2~3층 1
 
3.8%
2층 1
 
3.8%
삼미타운 1
 
3.8%
702호 1
 
3.8%
Other values (14) 14
53.8%
2023-12-22T21:33:24.028255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10
 
8.5%
호 7
 
5.9%
1 5
 
4.2%
층 5
 
4.2%
0 5
 
4.2%
2 4
 
3.4%
6 3
 
2.5%
프 3
 
2.5%
라 3
 
2.5%
자 3
 
2.5%
Other values (52) 70
59.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 83
70.3%
Decimal Number 24
 
20.3%
Space Separator 10
 
8.5%
Math Symbol 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 7
 
8.4%
층 5
 
6.0%
프 3
 
3.6%
라 3
 
3.6%
자 3
 
3.6%
일 3
 
3.6%
타 3
 
3.6%
동 2
 
2.4%
트 2
 
2.4%
부 2
 
2.4%
Other values (42) 50
60.2%
Decimal Number
ValueCountFrequency (%)
1 5
20.8%
0 5
20.8%
2 4
16.7%
6 3
12.5%
7 2
 
8.3%
5 2
 
8.3%
3 2
 
8.3%
9 1
 
4.2%
Space Separator
ValueCountFrequency (%)
10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 83
70.3%
Common 35
29.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 7
 
8.4%
층 5
 
6.0%
프 3
 
3.6%
라 3
 
3.6%
자 3
 
3.6%
일 3
 
3.6%
타 3
 
3.6%
동 2
 
2.4%
트 2
 
2.4%
부 2
 
2.4%
Other values (42) 50
60.2%
Common
ValueCountFrequency (%)
10
28.6%
1 5
14.3%
0 5
14.3%
2 4
 
11.4%
6 3
 
8.6%
7 2
 
5.7%
5 2
 
5.7%
3 2
 
5.7%
~ 1
 
2.9%
9 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 83
70.3%
ASCII 35
29.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10
28.6%
1 5
14.3%
0 5
14.3%
2 4
 
11.4%
6 3
 
8.6%
7 2
 
5.7%
5 2
 
5.7%
3 2
 
5.7%
~ 1
 
2.9%
9 1
 
2.9%
Hangul
ValueCountFrequency (%)
호 7
 
8.4%
층 5
 
6.0%
프 3
 
3.6%
라 3
 
3.6%
자 3
 
3.6%
일 3
 
3.6%
타 3
 
3.6%
동 2
 
2.4%
트 2
 
2.4%
부 2
 
2.4%
Other values (42) 50
60.2%

전화번호
Text

Distinct717
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2023-12-22T21:33:25.513261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.951153
Min length9

Characters and Unicode

Total characters8808
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

Unique698 ?
Unique (%)94.7%

Sample

1st row1566-2302
2nd row02-381-3381
3rd row031-905-4477
4th row031-977-2368
5th row031-969-7513
ValueCountFrequency (%)
031-756-7880 3
 
0.4%
02-6959-3779 2
 
0.3%
031-569-9991 2
 
0.3%
070-4353-7445 2
 
0.3%
070-8796-1620 2
 
0.3%
031-237-1515 2
 
0.3%
032-329-7607 2
 
0.3%
031-227-0503 2
 
0.3%
031-275-8285 2
 
0.3%
031-770-7700 2
 
0.3%
Other values (707) 716
97.2%
2023-12-22T21:33:27.492843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1445
16.4%
0 1424
16.2%
1 1112
12.6%
3 1103
12.5%
2 625
7.1%
7 573
 
6.5%
5 544
 
6.2%
9 511
 
5.8%
6 508
 
5.8%
8 506
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7363
83.6%
Dash Punctuation 1445
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1424
19.3%
1 1112
15.1%
3 1103
15.0%
2 625
8.5%
7 573
7.8%
5 544
 
7.4%
9 511
 
6.9%
6 508
 
6.9%
8 506
 
6.9%
4 457
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 1445
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8808
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1445
16.4%
0 1424
16.2%
1 1112
12.6%
3 1103
12.5%
2 625
7.1%
7 573
 
6.5%
5 544
 
6.2%
9 511
 
5.8%
6 508
 
5.8%
8 506
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8808
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1445
16.4%
0 1424
16.2%
1 1112
12.6%
3 1103
12.5%
2 625
7.1%
7 573
 
6.5%
5 544
 
6.2%
9 511
 
5.8%
6 508
 
5.8%
8 506
 
5.7%

URL
Text

MISSING 

Distinct523
Distinct (%)92.2%
Missing170
Missing (%)23.1%
Memory size5.9 KiB
2023-12-22T21:33:29.562721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length50
Mean length25.936508
Min length12

Characters and Unicode

Total characters14706
Distinct characters105
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique497 ?
Unique (%)87.7%

Sample

1st rowhttp://passupedu.com/
2nd rowhttp://www.citycollege.ac
3rd rowhttp://www.ycrpilates.com
4th rowhttps://cafe.naver.com/bitjaggileader
5th rowhttp://blog.naver.com/gawon831
ValueCountFrequency (%)
http://culture.emart.com 11
 
1.9%
http://school.homeplus.co.kr 8
 
1.4%
http://culture.homeplus.co.kr 5
 
0.9%
http://culture.lottemart.com 4
 
0.7%
http://culture.lotteshopping.com 3
 
0.5%
http://haumpila.co.kr 3
 
0.5%
http://www.siheung.go.kr/edu/main.do 3
 
0.5%
https://www.cultureclub.emart.com 3
 
0.5%
http://www.nanumedu.kr 2
 
0.4%
http://lll.yangju.go.kr 2
 
0.4%
Other values (507) 523
92.2%
2023-12-22T21:33:32.971419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 1422
 
9.7%
. 1399
 
9.5%
/ 1391
 
9.5%
w 924
 
6.3%
o 853
 
5.8%
h 754
 
5.1%
p 735
 
5.0%
c 695
 
4.7%
r 684
 
4.7%
e 653
 
4.4%
Other values (95) 5196
35.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11045
75.1%
Other Punctuation 3355
 
22.8%
Decimal Number 157
 
1.1%
Other Letter 88
 
0.6%
Dash Punctuation 25
 
0.2%
Connector Punctuation 17
 
0.1%
Uppercase Letter 14
 
0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
문 5
 
5.7%
국 4
 
4.5%
화 3
 
3.4%
지 3
 
3.4%
교 3
 
3.4%
육 3
 
3.4%
원 3
 
3.4%
한 3
 
3.4%
이 2
 
2.3%
터 2
 
2.3%
Other values (44) 57
64.8%
Lowercase Letter
ValueCountFrequency (%)
t 1422
12.9%
w 924
 
8.4%
o 853
 
7.7%
h 754
 
6.8%
p 735
 
6.7%
c 695
 
6.3%
r 684
 
6.2%
e 653
 
5.9%
a 598
 
5.4%
k 468
 
4.2%
Other values (16) 3259
29.5%
Decimal Number
ValueCountFrequency (%)
0 33
21.0%
2 32
20.4%
1 26
16.6%
4 15
9.6%
3 14
8.9%
7 10
 
6.4%
9 10
 
6.4%
8 7
 
4.5%
5 7
 
4.5%
6 3
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
C 3
21.4%
M 3
21.4%
T 2
14.3%
W 2
14.3%
D 1
 
7.1%
G 1
 
7.1%
N 1
 
7.1%
S 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
. 1399
41.7%
/ 1391
41.5%
: 560
16.7%
? 5
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 17
100.0%
Math Symbol
ValueCountFrequency (%)
= 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11059
75.2%
Common 3559
 
24.2%
Hangul 88
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
문 5
 
5.7%
국 4
 
4.5%
화 3
 
3.4%
지 3
 
3.4%
교 3
 
3.4%
육 3
 
3.4%
원 3
 
3.4%
한 3
 
3.4%
이 2
 
2.3%
터 2
 
2.3%
Other values (44) 57
64.8%
Latin
ValueCountFrequency (%)
t 1422
12.9%
w 924
 
8.4%
o 853
 
7.7%
h 754
 
6.8%
p 735
 
6.6%
c 695
 
6.3%
r 684
 
6.2%
e 653
 
5.9%
a 598
 
5.4%
k 468
 
4.2%
Other values (24) 3273
29.6%
Common
ValueCountFrequency (%)
. 1399
39.3%
/ 1391
39.1%
: 560
15.7%
0 33
 
0.9%
2 32
 
0.9%
1 26
 
0.7%
- 25
 
0.7%
_ 17
 
0.5%
4 15
 
0.4%
3 14
 
0.4%
Other values (7) 47
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14618
99.4%
Hangul 88
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 1422
 
9.7%
. 1399
 
9.6%
/ 1391
 
9.5%
w 924
 
6.3%
o 853
 
5.8%
h 754
 
5.2%
p 735
 
5.0%
c 695
 
4.8%
r 684
 
4.7%
e 653
 
4.5%
Other values (41) 5108
34.9%
Hangul
ValueCountFrequency (%)
문 5
 
5.7%
국 4
 
4.5%
화 3
 
3.4%
지 3
 
3.4%
교 3
 
3.4%
육 3
 
3.4%
원 3
 
3.4%
한 3
 
3.4%
이 2
 
2.3%
터 2
 
2.3%
Other values (44) 57
64.8%

정제도로명주소
Text

MISSING 

Distinct689
Distinct (%)96.0%
Missing19
Missing (%)2.6%
Memory size5.9 KiB
2023-12-22T21:33:34.519849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length26
Mean length19.133705
Min length13

Characters and Unicode

Total characters13738
Distinct characters273
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique662 ?
Unique (%)92.2%

Sample

1st row경기도 고양시 일산동구 중앙로1261번길 77
2nd row경기도 고양시 덕양구 통일로493번안길 103-41
3rd row경기도 고양시 일산동구 무궁화로 18
4th row경기도 고양시 일산서구 원일로 81
5th row경기도 고양시 덕양구 화정로 53-1
ValueCountFrequency (%)
경기도 718
 
21.6%
수원시 80
 
2.4%
용인시 70
 
2.1%
성남시 68
 
2.0%
고양시 65
 
2.0%
안산시 49
 
1.5%
분당구 45
 
1.4%
부천시 44
 
1.3%
안양시 40
 
1.2%
기흥구 31
 
0.9%
Other values (1002) 2112
63.6%
2023-12-22T21:33:36.969619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2604
19.0%
기 760
 
5.5%
경 749
 
5.5%
시 735
 
5.4%
도 731
 
5.3%
로 690
 
5.0%
1 512
 
3.7%
구 393
 
2.9%
2 331
 
2.4%
3 271
 
2.0%
Other values (263) 5962
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8630
62.8%
Space Separator 2604
 
19.0%
Decimal Number 2399
 
17.5%
Dash Punctuation 104
 
0.8%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 760
 
8.8%
경 749
 
8.7%
시 735
 
8.5%
도 731
 
8.5%
로 690
 
8.0%
구 393
 
4.6%
길 202
 
2.3%
안 184
 
2.1%
양 171
 
2.0%
번 159
 
1.8%
Other values (250) 3856
44.7%
Decimal Number
ValueCountFrequency (%)
1 512
21.3%
2 331
13.8%
3 271
11.3%
4 217
9.0%
5 197
 
8.2%
7 193
 
8.0%
6 189
 
7.9%
0 174
 
7.3%
8 161
 
6.7%
9 154
 
6.4%
Space Separator
ValueCountFrequency (%)
2604
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 104
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8630
62.8%
Common 5108
37.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 760
 
8.8%
경 749
 
8.7%
시 735
 
8.5%
도 731
 
8.5%
로 690
 
8.0%
구 393
 
4.6%
길 202
 
2.3%
안 184
 
2.1%
양 171
 
2.0%
번 159
 
1.8%
Other values (250) 3856
44.7%
Common
ValueCountFrequency (%)
2604
51.0%
1 512
 
10.0%
2 331
 
6.5%
3 271
 
5.3%
4 217
 
4.2%
5 197
 
3.9%
7 193
 
3.8%
6 189
 
3.7%
0 174
 
3.4%
8 161
 
3.2%
Other values (3) 259
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8630
62.8%
ASCII 5108
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2604
51.0%
1 512
 
10.0%
2 331
 
6.5%
3 271
 
5.3%
4 217
 
4.2%
5 197
 
3.9%
7 193
 
3.8%
6 189
 
3.7%
0 174
 
3.4%
8 161
 
3.2%
Other values (3) 259
 
5.1%
Hangul
ValueCountFrequency (%)
기 760
 
8.8%
경 749
 
8.7%
시 735
 
8.5%
도 731
 
8.5%
로 690
 
8.0%
구 393
 
4.6%
길 202
 
2.3%
안 184
 
2.1%
양 171
 
2.0%
번 159
 
1.8%
Other values (250) 3856
44.7%

정제지번주소
Text

Distinct710
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2023-12-22T21:33:38.904702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length33
Mean length21.473541
Min length15

Characters and Unicode

Total characters15826
Distinct characters266
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique685 ?
Unique (%)92.9%

Sample

1st row경기도 고양시 일산동구 장항동 864-2번지
2nd row경기도 고양시 덕양구 신원동 307번지
3rd row경기도 고양시 일산동구 장항동 760번지
4th row경기도 고양시 일산서구 일산동 594-13번지
5th row경기도 고양시 덕양구 화정동 967-3번지
ValueCountFrequency (%)
경기도 737
 
21.5%
수원시 82
 
2.4%
성남시 72
 
2.1%
용인시 71
 
2.1%
고양시 66
 
1.9%
분당구 49
 
1.4%
안산시 49
 
1.4%
부천시 45
 
1.3%
안양시 40
 
1.2%
화성시 32
 
0.9%
Other values (1108) 2192
63.8%
2023-12-22T21:33:42.383162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2698
 
17.0%
기 774
 
4.9%
지 768
 
4.9%
도 750
 
4.7%
시 748
 
4.7%
경 740
 
4.7%
번 734
 
4.6%
동 722
 
4.6%
1 581
 
3.7%
- 490
 
3.1%
Other values (256) 6821
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9743
61.6%
Decimal Number 2871
 
18.1%
Space Separator 2698
 
17.0%
Dash Punctuation 490
 
3.1%
Uppercase Letter 12
 
0.1%
Lowercase Letter 9
 
0.1%
Other Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 774
 
7.9%
지 768
 
7.9%
도 750
 
7.7%
시 748
 
7.7%
경 740
 
7.6%
번 734
 
7.5%
동 722
 
7.4%
구 417
 
4.3%
양 199
 
2.0%
안 181
 
1.9%
Other values (224) 3710
38.1%
Decimal Number
ValueCountFrequency (%)
1 581
20.2%
2 327
11.4%
5 286
10.0%
4 281
9.8%
3 279
9.7%
7 237
8.3%
8 230
 
8.0%
6 229
 
8.0%
9 211
 
7.3%
0 210
 
7.3%
Uppercase Letter
ValueCountFrequency (%)
A 2
16.7%
K 2
16.7%
P 2
16.7%
R 1
8.3%
I 1
8.3%
D 1
8.3%
S 1
8.3%
C 1
8.3%
N 1
8.3%
Lowercase Letter
ValueCountFrequency (%)
m 2
22.2%
e 1
11.1%
c 1
11.1%
l 1
11.1%
a 1
11.1%
t 1
11.1%
i 1
11.1%
u 1
11.1%
Space Separator
ValueCountFrequency (%)
2698
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 490
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9743
61.6%
Common 6062
38.3%
Latin 21
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 774
 
7.9%
지 768
 
7.9%
도 750
 
7.7%
시 748
 
7.7%
경 740
 
7.6%
번 734
 
7.5%
동 722
 
7.4%
구 417
 
4.3%
양 199
 
2.0%
안 181
 
1.9%
Other values (224) 3710
38.1%
Latin
ValueCountFrequency (%)
A 2
 
9.5%
K 2
 
9.5%
P 2
 
9.5%
m 2
 
9.5%
e 1
 
4.8%
c 1
 
4.8%
l 1
 
4.8%
R 1
 
4.8%
I 1
 
4.8%
a 1
 
4.8%
Other values (7) 7
33.3%
Common
ValueCountFrequency (%)
2698
44.5%
1 581
 
9.6%
- 490
 
8.1%
2 327
 
5.4%
5 286
 
4.7%
4 281
 
4.6%
3 279
 
4.6%
7 237
 
3.9%
8 230
 
3.8%
6 229
 
3.8%
Other values (5) 424
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9743
61.6%
ASCII 6083
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2698
44.4%
1 581
 
9.6%
- 490
 
8.1%
2 327
 
5.4%
5 286
 
4.7%
4 281
 
4.6%
3 279
 
4.6%
7 237
 
3.9%
8 230
 
3.8%
6 229
 
3.8%
Other values (22) 445
 
7.3%
Hangul
ValueCountFrequency (%)
기 774
 
7.9%
지 768
 
7.9%
도 750
 
7.7%
시 748
 
7.7%
경 740
 
7.6%
번 734
 
7.5%
동 722
 
7.4%
구 417
 
4.3%
양 199
 
2.0%
안 181
 
1.9%
Other values (224) 3710
38.1%

정제우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct581
Distinct (%)79.0%
Missing2
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean14289.922
Minimum10020
Maximum18611
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2023-12-22T21:33:43.492542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10020
5-th percentile10342.7
Q112251.5
median14313
Q316488
95-th percentile17972.2
Maximum18611
Range8591
Interquartile range (IQR)4236.5

Descriptive statistics

Standard deviation2453.8818
Coefficient of variation (CV)0.17172114
Kurtosis-1.1066236
Mean14289.922
Median Absolute Deviation (MAD)2151
Skewness-0.12453152
Sum10503093
Variance6021535.7
MonotonicityNot monotonic
2023-12-22T21:33:44.475728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10401 5
 
0.7%
17006 5
 
0.7%
11921 5
 
0.7%
10402 4
 
0.5%
10387 4
 
0.5%
14542 4
 
0.5%
14118 4
 
0.5%
13558 4
 
0.5%
10414 3
 
0.4%
16704 3
 
0.4%
Other values (571) 694
94.2%
ValueCountFrequency (%)
10020 1
 
0.1%
10048 1
 
0.1%
10071 2
0.3%
10073 2
0.3%
10083 3
0.4%
10091 1
 
0.1%
10102 1
 
0.1%
10106 2
0.3%
10108 1
 
0.1%
10110 2
0.3%
ValueCountFrequency (%)
18611 1
0.1%
18600 2
0.3%
18598 1
0.1%
18593 1
0.1%
18592 1
0.1%
18582 1
0.1%
18527 1
0.1%
18497 1
0.1%
18489 2
0.3%
18478 1
0.1%

정제WGS84위도
Real number (ℝ)

HIGH CORRELATION 

Distinct704
Distinct (%)96.0%
Missing4
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean37.427786
Minimum36.987563
Maximum38.105471
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2023-12-22T21:33:45.317701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.987563
5-th percentile37.138817
Q137.288983
median37.390378
Q337.601647
95-th percentile37.752231
Maximum38.105471
Range1.1179086
Interquartile range (IQR)0.31266373

Descriptive statistics

Standard deviation0.19719868
Coefficient of variation (CV)0.0052687775
Kurtosis-0.27844414
Mean37.427786
Median Absolute Deviation (MAD)0.11694386
Skewness0.31952723
Sum27434.567
Variance0.038887318
MonotonicityNot monotonic
2023-12-22T21:33:46.941642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4734793704 3
 
0.4%
37.3742779575 3
 
0.4%
37.873806699 2
 
0.3%
37.2769351858 2
 
0.3%
37.4739656716 2
 
0.3%
37.736152344 2
 
0.3%
37.3857787789 2
 
0.3%
37.3876631591 2
 
0.3%
37.4904094375 2
 
0.3%
37.5111976496 2
 
0.3%
Other values (694) 711
96.5%
(Missing) 4
 
0.5%
ValueCountFrequency (%)
36.9875627893 1
0.1%
36.9883462779 1
0.1%
36.9906110748 1
0.1%
36.9912796065 1
0.1%
36.9916115733 1
0.1%
36.9919006082 1
0.1%
36.9923626736 1
0.1%
36.9945235041 1
0.1%
36.9946458119 1
0.1%
36.9957369419 1
0.1%
ValueCountFrequency (%)
38.1054713866 1
0.1%
38.0222210543 1
0.1%
37.9053331012 1
0.1%
37.9052590143 1
0.1%
37.9049097851 1
0.1%
37.8954487756 1
0.1%
37.8945308852 1
0.1%
37.8927661327 1
0.1%
37.8927602355 1
0.1%
37.8908791972 1
0.1%

정제WGS84경도
Real number (ℝ)

HIGH CORRELATION 

Distinct704
Distinct (%)96.0%
Missing4
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean127.00222
Minimum126.5466
Maximum127.64025
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2023-12-22T21:33:47.905669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.5466
5-th percentile126.74211
Q1126.83496
median127.02752
Q3127.12289
95-th percentile127.28724
Maximum127.64025
Range1.0936509
Interquartile range (IQR)0.28793372

Descriptive statistics

Standard deviation0.18579663
Coefficient of variation (CV)0.00146294
Kurtosis0.083286782
Mean127.00222
Median Absolute Deviation (MAD)0.12287989
Skewness0.35624813
Sum93092.629
Variance0.034520389
MonotonicityNot monotonic
2023-12-22T21:33:48.787602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1426886465 3
 
0.4%
126.9469406979 3
 
0.4%
127.1575578525 2
 
0.3%
127.0275153508 2
 
0.3%
126.8688958814 2
 
0.3%
127.0441669045 2
 
0.3%
126.9315838251 2
 
0.3%
126.9335690685 2
 
0.3%
126.7796089859 2
 
0.3%
127.4288728301 2
 
0.3%
Other values (694) 711
96.5%
(Missing) 4
 
0.5%
ValueCountFrequency (%)
126.54660312 1
0.1%
126.621303491 1
0.1%
126.6261155061 1
0.1%
126.6282980439 1
0.1%
126.6607248656 1
0.1%
126.666513227 1
0.1%
126.6675236151 1
0.1%
126.6806276005 1
0.1%
126.682576215 1
0.1%
126.6840570403 1
0.1%
ValueCountFrequency (%)
127.6402539811 1
0.1%
127.6363535982 1
0.1%
127.6164271659 1
0.1%
127.5756075896 1
0.1%
127.5459334797 1
0.1%
127.5406726251 1
0.1%
127.511886452 1
0.1%
127.5045149167 1
0.1%
127.5044676296 1
0.1%
127.4850780491 1
0.1%

Interactions

2023-12-22T21:33:13.098748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:33:09.806324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:33:11.573679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:33:13.563750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:33:10.257107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:33:12.108005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:33:14.013163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:33:10.818312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:33:12.627463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-22T21:33:49.125010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명기관유형대분류세부장소명정제우편번호정제WGS84위도정제WGS84경도
시군명1.0000.0571.0000.9910.9820.939
기관유형대분류0.0571.0001.0000.1630.1590.137
세부장소명1.0001.0001.0001.0001.0001.000
정제우편번호0.9910.1631.0001.0000.9260.860
정제WGS84위도0.9820.1591.0000.9261.0000.630
정제WGS84경도0.9390.1371.0000.8600.6301.000
2023-12-22T21:33:49.775877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명기관유형대분류
시군명1.0000.020
기관유형대분류0.0201.000
2023-12-22T21:33:50.414305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정제우편번호정제WGS84위도정제WGS84경도시군명기관유형대분류
정제우편번호1.000-0.9190.2550.9140.072
정제WGS84위도-0.9191.000-0.2880.8580.072
정제WGS84경도0.255-0.2881.0000.6870.062
시군명0.9140.8580.6871.0000.020
기관유형대분류0.0720.0720.0620.0201.000

Missing values

2023-12-22T21:33:14.697907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-22T21:33:15.777968image/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.
2023-12-22T21:33:16.551368image/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

시군명기관명기관유형대분류세부장소명전화번호URL정제도로명주소정제지번주소정제우편번호정제WGS84위도정제WGS84경도
0고양시패스업원격평생교육원원격형태<NA>1566-2302http://passupedu.com/경기도 고양시 일산동구 중앙로1261번길 77경기도 고양시 일산동구 장항동 864-2번지1040237.657214126.769792
1고양시씨티평생교육원언론기관부설<NA>02-381-3381http://www.citycollege.ac경기도 고양시 덕양구 통일로493번안길 103-41경기도 고양시 덕양구 신원동 307번지1028437.682203126.882696
2고양시윤채림필라테스평생교육원언론기관부설<NA>031-905-4477http://www.ycrpilates.com경기도 고양시 일산동구 무궁화로 18경기도 고양시 일산동구 장항동 760번지1040137.661693126.766891
3고양시연승평생교육원언론기관부설<NA>031-977-2368<NA>경기도 고양시 일산서구 원일로 81경기도 고양시 일산서구 일산동 594-13번지1034237.686155126.771301
4고양시빛자기리더평생교육원언론기관부설<NA>031-969-7513https://cafe.naver.com/bitjaggileader경기도 고양시 덕양구 화정로 53-1경기도 고양시 덕양구 화정동 967-3번지1049737.635484126.832386
5고양시TG필라테스화정점평생교육원언론기관부설<NA>031-973-1213<NA>경기도 고양시 덕양구 화신로260번길 47경기도 고양시 덕양구 화정동 978-1번지1050037.632853126.832602
6고양시바디홀릭기구필라테스평생교육원언론기관부설<NA>031-978-9682<NA>경기도 고양시 덕양구 중앙로 554경기도 고양시 덕양구 행신동 950번지1049537.623696126.835891
7고양시이브필라테스 주엽점언론기관부설<NA>031-916-6663<NA>경기도 고양시 일산서구 중앙로 1456경기도 고양시 일산서구 주엽동 18-2번지1038737.671558126.758982
8고양시삼송덕양 풀잎문화센터시민사회단체부설<NA>02-318-5578<NA>경기도 고양시 덕양구 삼송로 190-5경기도 고양시 덕양구 삼송동 16-45번지1059037.653009126.894886
9고양시더블유필라테스 식사점언론기관부설<NA>031-962-0216<NA>경기도 고양시 일산동구 위시티2로 15경기도 고양시 일산동구 식사동 1546-1번지1032337.676506126.812446
시군명기관명기관유형대분류세부장소명전화번호URL정제도로명주소정제지번주소정제우편번호정제WGS84위도정제WGS84경도
727안산시KD문화예술진흥원원격형태<NA>031-408-8305http://www.kdedu.co.kr/경기도 안산시 상록구 상록수로 28경기도 안산시 상록구 본오동 877-8번지1553237.302115126.863
728안산시케이에듀온 평생교육원원격형태<NA>031-319-7137http://www.keduon.com경기도 안산시 단원구 예술대학로 17경기도 안산시 단원구 고잔동 534-3번지1536037.318672126.836497
729안산시대한건설기계교육원시민사회단체부설<NA>031-497-9112<NA>경기도 안산시 단원구 번영로 115경기도 안산시 단원구 성곡동 710-8번지1541437.320565126.736291
730안산시진이어스 비즈니스 플랫폼 평생교육원지식·인력개발형태<NA>031-439-1919<NA>경기도 안산시 상록구 광덕4로 362경기도 안산시 상록구 이동 706번지1548937.31071126.85056
731용인시(사)대한간호협회 KNA연수원지식·인력개발형태<NA>031-338-1004http://www.kna1004.or.kr경기도 용인시 처인구 낙은로 76-27경기도 용인시 처인구 역북동 257번지 대한간호사협회KNA연수원1704537.244689127.197306
732안산시안산대학교 부설 평생교육원대학(원)부설<NA>031-400-7096https://psedu.ansan.ac.kr경기도 안산시 상록구 안산대학로 155경기도 안산시 상록구 일동 752번지1532837.307421126.875978
733용인시용인예술과학대학교 부속 평생교육원대학(원)부설<NA>031-330-9422http://ate.ysc.ac.kr/lifeeducation경기도 용인시 처인구 동부로 61경기도 용인시 처인구 마평동 961번지1714537.228625127.218822
734이천시청강문화산업대학교 부설 평생교육원대학(원)부설<NA>031-637-1114https://ck389.com경기도 이천시 마장면 청강가창로 389-94경기도 이천시 마장면 해월리 33번지1739037.206454127.356494
735수원시국제사이버대학교 부설 평생교육원대학(원)부설<NA>031-229-6286http://life.gjcu.ac.kr/경기도 수원시 팔달구 경수대로 490경기도 수원시 팔달구 인계동 950-12번지1648737.269592127.028227
736용인시웨스트민스터신학대학원대학교 부설 평생교육원대학(원)부설<NA>031-270-6032http://www.wgst.ac.kr/wgst_edu/경기도 용인시 기흥구 동백죽전대로 201-11경기도 용인시 기흥구 중동 38-1번지1699537.258987127.158072