Overview

Dataset statistics

Number of variables10
Number of observations5029
Missing cells2881
Missing cells (%)5.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory397.9 KiB
Average record size in memory81.0 B

Variable types

Categorical4
Text6

Dataset

Description2023년 5월에 실시한 평생교육통계 조사 결과(조사기준일 : 2022년 12월 31일) 중 정보공개 동의를 받은 평생교육기관의 기관분류, 기관명, 기관주소, 전화번호등을 제공합니다.
Author한국교육개발원
URLhttps://www.data.go.kr/data/15050130/fileData.do

Alerts

조사연도 has constant value ""Constant
기관유형소분류 is highly overall correlated with 기관유형대분류High correlation
기관유형대분류 is highly overall correlated with 기관유형소분류High correlation
기관유형소분류 is highly imbalanced (63.9%)Imbalance
기관주소2 has 2431 (48.3%) missing valuesMissing
기관대표 전화번호 has 450 (8.9%) missing valuesMissing

Reproduction

Analysis started2024-01-14 13:26:36.399792
Analysis finished2024-01-14 13:26:38.740357
Duration2.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

조사연도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.4 KiB
2023
5029 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023
2nd row2023
3rd row2023
4th row2023
5th row2023

Common Values

ValueCountFrequency (%)
2023 5029
100.0%

Length

2024-01-14T22:26:38.835472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:26:38.969682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023 5029
100.0%

시도
Categorical

Distinct17
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size39.4 KiB
서울
1918 
경기
1204 
부산
262 
인천
226 
경남
 
175
Other values (12)
1244 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울 1918
38.1%
경기 1204
23.9%
부산 262
 
5.2%
인천 226
 
4.5%
경남 175
 
3.5%
대구 160
 
3.2%
경북 149
 
3.0%
광주 146
 
2.9%
충남 145
 
2.9%
강원 113
 
2.2%
Other values (7) 531
 
10.6%

Length

2024-01-14T22:26:39.099283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울 1918
38.1%
경기 1204
23.9%
부산 262
 
5.2%
인천 226
 
4.5%
경남 175
 
3.5%
대구 160
 
3.2%
경북 149
 
3.0%
광주 146
 
2.9%
충남 145
 
2.9%
강원 113
 
2.2%
Other values (7) 531
 
10.6%

지역
Text

Distinct205
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size39.4 KiB
2024-01-14T22:26:39.612995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.99483
Min length3

Characters and Unicode

Total characters25119
Distinct characters132
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)0.4%

Sample

1st row동대문구
2nd row동대문구
3rd row동대문구
4th row동대문구
5th row동대문구
ValueCountFrequency (%)
강남구 211
 
4.2%
서초구 184
 
3.7%
중구 164
 
3.3%
영등포구 163
 
3.2%
수원시 133
 
2.6%
성남시 128
 
2.5%
마포구 125
 
2.5%
서구 117
 
2.3%
강서구 117
 
2.3%
고양시 115
 
2.3%
Other values (195) 3572
71.0%
2024-01-14T22:26:40.265624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10090
40.2%
구 2981
 
11.9%
시 1973
 
7.9%
남 524
 
2.1%
서 509
 
2.0%
천 425
 
1.7%
강 416
 
1.7%
동 409
 
1.6%
포 384
 
1.5%
성 381
 
1.5%
Other values (122) 7027
28.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15029
59.8%
Space Separator 10090
40.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 2981
19.8%
시 1973
 
13.1%
남 524
 
3.5%
서 509
 
3.4%
천 425
 
2.8%
강 416
 
2.8%
동 409
 
2.7%
포 384
 
2.6%
성 381
 
2.5%
주 353
 
2.3%
Other values (121) 6674
44.4%
Space Separator
ValueCountFrequency (%)
10090
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15029
59.8%
Common 10090
40.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 2981
19.8%
시 1973
 
13.1%
남 524
 
3.5%
서 509
 
3.4%
천 425
 
2.8%
강 416
 
2.8%
동 409
 
2.7%
포 384
 
2.6%
성 381
 
2.5%
주 353
 
2.3%
Other values (121) 6674
44.4%
Common
ValueCountFrequency (%)
10090
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15029
59.8%
ASCII 10090
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10090
100.0%
Hangul
ValueCountFrequency (%)
구 2981
19.8%
시 1973
 
13.1%
남 524
 
3.5%
서 509
 
3.4%
천 425
 
2.8%
강 416
 
2.8%
동 409
 
2.7%
포 384
 
2.6%
성 381
 
2.5%
주 353
 
2.3%
Other values (121) 6674
44.4%

기관명
Text

Distinct4924
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size39.4 KiB
2024-01-14T22:26:40.623070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length26
Mean length12.10519
Min length2

Characters and Unicode

Total characters60877
Distinct characters761
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4854 ?
Unique (%)96.5%

Sample

1st row한국사이버평생교육원
2nd row글로리아평생교육원
3rd row동화세상에듀코원격평생교육원
4th row홈플러스문화센터동대문점
5th row고시포코
ValueCountFrequency (%)
평생교육원 767
 
10.8%
부설 424
 
6.0%
원격평생교육원 99
 
1.4%
평생교육시설 50
 
0.7%
원격평생교육시설 45
 
0.6%
문화센터 41
 
0.6%
필라테스 33
 
0.5%
경상남도교육청 28
 
0.4%
룩스필라테스 22
 
0.3%
홈플러스 17
 
0.2%
Other values (5146) 5565
78.5%
2024-01-14T22:26:41.267958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 4669
 
7.7%
원 4540
 
7.5%
육 4163
 
6.8%
평 3829
 
6.3%
생 3792
 
6.2%
2062
 
3.4%
스 1424
 
2.3%
설 928
 
1.5%
학 831
 
1.4%
라 809
 
1.3%
Other values (751) 33830
55.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 57048
93.7%
Space Separator 2062
 
3.4%
Uppercase Letter 865
 
1.4%
Lowercase Letter 276
 
0.5%
Open Punctuation 218
 
0.4%
Close Punctuation 218
 
0.4%
Decimal Number 118
 
0.2%
Other Punctuation 42
 
0.1%
Other Symbol 16
 
< 0.1%
Dash Punctuation 10
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 4669
 
8.2%
원 4540
 
8.0%
육 4163
 
7.3%
평 3829
 
6.7%
생 3792
 
6.6%
스 1424
 
2.5%
설 928
 
1.6%
학 831
 
1.5%
라 809
 
1.4%
점 802
 
1.4%
Other values (677) 31261
54.8%
Uppercase Letter
ValueCountFrequency (%)
C 101
 
11.7%
A 93
 
10.8%
S 71
 
8.2%
K 55
 
6.4%
E 51
 
5.9%
T 49
 
5.7%
I 44
 
5.1%
D 42
 
4.9%
M 41
 
4.7%
Y 40
 
4.6%
Other values (14) 278
32.1%
Lowercase Letter
ValueCountFrequency (%)
e 30
 
10.9%
i 27
 
9.8%
n 25
 
9.1%
a 22
 
8.0%
l 18
 
6.5%
t 17
 
6.2%
u 16
 
5.8%
r 14
 
5.1%
o 13
 
4.7%
s 13
 
4.7%
Other values (13) 81
29.3%
Decimal Number
ValueCountFrequency (%)
2 24
20.3%
1 22
18.6%
0 19
16.1%
3 12
10.2%
8 9
 
7.6%
5 9
 
7.6%
4 8
 
6.8%
7 5
 
4.2%
6 5
 
4.2%
9 5
 
4.2%
Other Punctuation
ValueCountFrequency (%)
& 27
64.3%
. 5
 
11.9%
· 3
 
7.1%
/ 2
 
4.8%
" 2
 
4.8%
: 2
 
4.8%
! 1
 
2.4%
Open Punctuation
ValueCountFrequency (%)
( 217
99.5%
[ 1
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 217
99.5%
] 1
 
0.5%
Letter Number
ValueCountFrequency (%)
Ⅶ 2
66.7%
Ⅱ 1
33.3%
Space Separator
ValueCountFrequency (%)
2062
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 57064
93.7%
Common 2669
 
4.4%
Latin 1144
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 4669
 
8.2%
원 4540
 
8.0%
육 4163
 
7.3%
평 3829
 
6.7%
생 3792
 
6.6%
스 1424
 
2.5%
설 928
 
1.6%
학 831
 
1.5%
라 809
 
1.4%
점 802
 
1.4%
Other values (678) 31277
54.8%
Latin
ValueCountFrequency (%)
C 101
 
8.8%
A 93
 
8.1%
S 71
 
6.2%
K 55
 
4.8%
E 51
 
4.5%
T 49
 
4.3%
I 44
 
3.8%
D 42
 
3.7%
M 41
 
3.6%
Y 40
 
3.5%
Other values (39) 557
48.7%
Common
ValueCountFrequency (%)
2062
77.3%
( 217
 
8.1%
) 217
 
8.1%
& 27
 
1.0%
2 24
 
0.9%
1 22
 
0.8%
0 19
 
0.7%
3 12
 
0.4%
- 10
 
0.4%
8 9
 
0.3%
Other values (14) 50
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 57048
93.7%
ASCII 3807
 
6.3%
None 19
 
< 0.1%
Number Forms 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 4669
 
8.2%
원 4540
 
8.0%
육 4163
 
7.3%
평 3829
 
6.7%
생 3792
 
6.6%
스 1424
 
2.5%
설 928
 
1.6%
학 831
 
1.5%
라 809
 
1.4%
점 802
 
1.4%
Other values (677) 31261
54.8%
ASCII
ValueCountFrequency (%)
2062
54.2%
( 217
 
5.7%
) 217
 
5.7%
C 101
 
2.7%
A 93
 
2.4%
S 71
 
1.9%
K 55
 
1.4%
E 51
 
1.3%
T 49
 
1.3%
I 44
 
1.2%
Other values (60) 847
22.2%
None
ValueCountFrequency (%)
㈜ 16
84.2%
· 3
 
15.8%
Number Forms
ValueCountFrequency (%)
Ⅶ 2
66.7%
Ⅱ 1
33.3%

기관유형대분류
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size39.4 KiB
언론기관부설
1528 
원격형태
1237 
지식·인력개발형태
539 
평생학습관
495 
대학(원)부설
418 
Other values (4)
812 

Length

Max length9
Median length8
Mean length5.9176775
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row원격형태
2nd row지식·인력개발형태
3rd row원격형태
4th row사업장부설
5th row원격형태

Common Values

ValueCountFrequency (%)
언론기관부설 1528
30.4%
원격형태 1237
24.6%
지식·인력개발형태 539
 
10.7%
평생학습관 495
 
9.8%
대학(원)부설 418
 
8.3%
시민사회단체부설 408
 
8.1%
사업장부설 377
 
7.5%
시도평생교육진흥원 17
 
0.3%
초.중등 학교부설 10
 
0.2%

Length

2024-01-14T22:26:41.448299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:26:41.592765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
언론기관부설 1528
30.3%
원격형태 1237
24.5%
지식·인력개발형태 539
 
10.7%
평생학습관 495
 
9.8%
대학(원)부설 418
 
8.3%
시민사회단체부설 408
 
8.1%
사업장부설 377
 
7.5%
시도평생교육진흥원 17
 
0.3%
초.중등 10
 
0.2%
학교부설 10
 
0.2%

기관유형소분류
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct19
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size39.4 KiB
<NA>
3729 
유통업체 문화센터
 
344
교육감 설치(지정) 평생학습관
 
314
4년제일반대학
 
211
지자체 설치 평생학습관
 
181
Other values (14)
 
250

Length

Max length16
Median length4
Mean length5.5237622
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row유통업체 문화센터
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 3729
74.1%
유통업체 문화센터 344
 
6.8%
교육감 설치(지정) 평생학습관 314
 
6.2%
4년제일반대학 211
 
4.2%
지자체 설치 평생학습관 181
 
3.6%
전문대학 131
 
2.6%
산업체부설 33
 
0.7%
대학원대학 32
 
0.6%
사이버대학 18
 
0.4%
교육대학 11
 
0.2%
Other values (9) 25
 
0.5%

Length

2024-01-14T22:26:41.794420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3729
58.6%
평생학습관 495
 
7.8%
유통업체 344
 
5.4%
문화센터 344
 
5.4%
교육감 314
 
4.9%
설치(지정 314
 
4.9%
4년제일반대학 211
 
3.3%
지자체 181
 
2.8%
설치 181
 
2.8%
전문대학 131
 
2.1%
Other values (13) 119
 
1.9%

우편번호
Text

Distinct3489
Distinct (%)69.4%
Missing0
Missing (%)0.0%
Memory size39.4 KiB
2024-01-14T22:26:42.207350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters30174
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

Unique2563 ?
Unique (%)51.0%

Sample

1st row025-82
2nd row025-82
3rd row025-80
4th row025-65
5th row026-02
ValueCountFrequency (%)
083-89 15
 
0.3%
085-06 14
 
0.3%
085-07 11
 
0.2%
170-06 9
 
0.2%
073-33 9
 
0.2%
066-21 9
 
0.2%
061-31 9
 
0.2%
145-48 8
 
0.2%
085-11 8
 
0.2%
612-00 8
 
0.2%
Other values (3479) 4929
98.0%
2024-01-14T22:26:42.800228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 5029
16.7%
0 3906
12.9%
1 3513
11.6%
4 2617
8.7%
2 2566
8.5%
5 2477
8.2%
3 2437
8.1%
6 2364
7.8%
7 1992
 
6.6%
8 1784
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 25145
83.3%
Dash Punctuation 5029
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3906
15.5%
1 3513
14.0%
4 2617
10.4%
2 2566
10.2%
5 2477
9.9%
3 2437
9.7%
6 2364
9.4%
7 1992
7.9%
8 1784
7.1%
9 1489
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 5029
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 30174
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 5029
16.7%
0 3906
12.9%
1 3513
11.6%
4 2617
8.7%
2 2566
8.5%
5 2477
8.2%
3 2437
8.1%
6 2364
7.8%
7 1992
 
6.6%
8 1784
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30174
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 5029
16.7%
0 3906
12.9%
1 3513
11.6%
4 2617
8.7%
2 2566
8.5%
5 2477
8.2%
3 2437
8.1%
6 2364
7.8%
7 1992
 
6.6%
8 1784
 
5.9%

기관주소1
Text

Distinct4690
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size39.4 KiB
2024-01-14T22:26:43.251828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length52
Mean length20.58441
Min length12

Characters and Unicode

Total characters103519
Distinct characters550
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4417 ?
Unique (%)87.8%

Sample

1st row서울특별시 동대문구 왕산로 14
2nd row서울특별시 동대문구 왕산로 14
3rd row서울특별시 동대문구 왕산로 25(신규동)
4th row서울특별시 동대문구 천호대로 133(용두동)
5th row서울특별시 동대문구 황물로 103(답십리동)
ValueCountFrequency (%)
서울특별시 1918
 
8.4%
경기도 1204
 
5.3%
부산광역시 262
 
1.1%
인천광역시 226
 
1.0%
강남구 211
 
0.9%
서초구 184
 
0.8%
경상남도 175
 
0.8%
중구 164
 
0.7%
영등포구 163
 
0.7%
대구광역시 160
 
0.7%
Other values (5950) 18234
79.6%
2024-01-14T22:26:44.379563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17872
 
17.3%
시 4918
 
4.8%
로 4886
 
4.7%
구 4093
 
4.0%
1 3580
 
3.5%
서 2782
 
2.7%
2 2471
 
2.4%
도 2330
 
2.3%
울 1998
 
1.9%
별 1989
 
1.9%
Other values (540) 56600
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66037
63.8%
Space Separator 17872
 
17.3%
Decimal Number 17333
 
16.7%
Open Punctuation 768
 
0.7%
Close Punctuation 768
 
0.7%
Dash Punctuation 603
 
0.6%
Uppercase Letter 68
 
0.1%
Connector Punctuation 34
 
< 0.1%
Other Punctuation 13
 
< 0.1%
Math Symbol 11
 
< 0.1%
Other values (2) 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 4918
 
7.4%
로 4886
 
7.4%
구 4093
 
6.2%
서 2782
 
4.2%
도 2330
 
3.5%
울 1998
 
3.0%
별 1989
 
3.0%
특 1981
 
3.0%
길 1731
 
2.6%
경 1711
 
2.6%
Other values (491) 37618
57.0%
Uppercase Letter
ValueCountFrequency (%)
A 10
14.7%
C 8
11.8%
E 6
 
8.8%
B 6
 
8.8%
M 5
 
7.4%
T 5
 
7.4%
D 5
 
7.4%
I 3
 
4.4%
L 3
 
4.4%
Y 2
 
2.9%
Other values (10) 15
22.1%
Decimal Number
ValueCountFrequency (%)
1 3580
20.7%
2 2471
14.3%
3 1980
11.4%
4 1528
8.8%
5 1499
8.6%
0 1384
 
8.0%
6 1348
 
7.8%
7 1283
 
7.4%
8 1185
 
6.8%
9 1075
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
e 3
30.0%
r 2
20.0%
o 1
 
10.0%
w 1
 
10.0%
n 1
 
10.0%
t 1
 
10.0%
c 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
· 7
53.8%
. 5
38.5%
/ 1
 
7.7%
Open Punctuation
ValueCountFrequency (%)
( 718
93.5%
[ 50
 
6.5%
Close Punctuation
ValueCountFrequency (%)
) 718
93.5%
] 50
 
6.5%
Space Separator
ValueCountFrequency (%)
17872
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 603
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 34
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66037
63.8%
Common 37402
36.1%
Latin 80
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 4918
 
7.4%
로 4886
 
7.4%
구 4093
 
6.2%
서 2782
 
4.2%
도 2330
 
3.5%
울 1998
 
3.0%
별 1989
 
3.0%
특 1981
 
3.0%
길 1731
 
2.6%
경 1711
 
2.6%
Other values (491) 37618
57.0%
Latin
ValueCountFrequency (%)
A 10
 
12.5%
C 8
 
10.0%
E 6
 
7.5%
B 6
 
7.5%
M 5
 
6.2%
T 5
 
6.2%
D 5
 
6.2%
e 3
 
3.8%
I 3
 
3.8%
L 3
 
3.8%
Other values (18) 26
32.5%
Common
ValueCountFrequency (%)
17872
47.8%
1 3580
 
9.6%
2 2471
 
6.6%
3 1980
 
5.3%
4 1528
 
4.1%
5 1499
 
4.0%
0 1384
 
3.7%
6 1348
 
3.6%
7 1283
 
3.4%
8 1185
 
3.2%
Other values (11) 3272
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66037
63.8%
ASCII 37473
36.2%
None 7
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17872
47.7%
1 3580
 
9.6%
2 2471
 
6.6%
3 1980
 
5.3%
4 1528
 
4.1%
5 1499
 
4.0%
0 1384
 
3.7%
6 1348
 
3.6%
7 1283
 
3.4%
8 1185
 
3.2%
Other values (37) 3343
 
8.9%
Hangul
ValueCountFrequency (%)
시 4918
 
7.4%
로 4886
 
7.4%
구 4093
 
6.2%
서 2782
 
4.2%
도 2330
 
3.5%
울 1998
 
3.0%
별 1989
 
3.0%
특 1981
 
3.0%
길 1731
 
2.6%
경 1711
 
2.6%
Other values (491) 37618
57.0%
None
ValueCountFrequency (%)
· 7
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

기관주소2
Text

MISSING 

Distinct1786
Distinct (%)68.7%
Missing2431
Missing (%)48.3%
Memory size39.4 KiB
2024-01-14T22:26:44.908325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length37
Mean length8.5731332
Min length1

Characters and Unicode

Total characters22273
Distinct characters533
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

Unique1651 ?
Unique (%)63.5%

Sample

1st row11층
2nd row글로리아타워
3rd row2층
4th row롯데백화점8층
5th row3층
ValueCountFrequency (%)
2층 344
 
7.2%
3층 294
 
6.1%
4층 182
 
3.8%
5층 131
 
2.7%
일부 129
 
2.7%
문화센터 117
 
2.4%
1층 98
 
2.0%
6층 82
 
1.7%
평생교육원 61
 
1.3%
7층 47
 
1.0%
Other values (2091) 3315
69.1%
2024-01-14T22:26:46.025729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2202
 
9.9%
층 1480
 
6.6%
0 1144
 
5.1%
호 1112
 
5.0%
2 1041
 
4.7%
1 1011
 
4.5%
3 811
 
3.6%
4 561
 
2.5%
5 423
 
1.9%
동 389
 
1.7%
Other values (523) 12099
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12968
58.2%
Decimal Number 5891
26.4%
Space Separator 2202
 
9.9%
Uppercase Letter 281
 
1.3%
Connector Punctuation 257
 
1.2%
Close Punctuation 247
 
1.1%
Open Punctuation 245
 
1.1%
Dash Punctuation 84
 
0.4%
Math Symbol 52
 
0.2%
Lowercase Letter 24
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
층 1480
 
11.4%
호 1112
 
8.6%
동 389
 
3.0%
빌 292
 
2.3%
딩 276
 
2.1%
교 275
 
2.1%
스 235
 
1.8%
관 223
 
1.7%
부 221
 
1.7%
화 210
 
1.6%
Other values (465) 8255
63.7%
Uppercase Letter
ValueCountFrequency (%)
B 68
24.2%
A 42
14.9%
C 28
10.0%
I 13
 
4.6%
S 13
 
4.6%
K 12
 
4.3%
T 12
 
4.3%
F 12
 
4.3%
D 11
 
3.9%
M 11
 
3.9%
Other values (14) 59
21.0%
Lowercase Letter
ValueCountFrequency (%)
e 5
20.8%
w 3
12.5%
t 3
12.5%
c 3
12.5%
s 1
 
4.2%
h 1
 
4.2%
i 1
 
4.2%
z 1
 
4.2%
k 1
 
4.2%
a 1
 
4.2%
Other values (4) 4
16.7%
Decimal Number
ValueCountFrequency (%)
0 1144
19.4%
2 1041
17.7%
1 1011
17.2%
3 811
13.8%
4 561
9.5%
5 423
 
7.2%
6 313
 
5.3%
7 236
 
4.0%
8 202
 
3.4%
9 149
 
2.5%
Other Punctuation
ValueCountFrequency (%)
. 9
40.9%
· 8
36.4%
/ 3
 
13.6%
& 2
 
9.1%
Space Separator
ValueCountFrequency (%)
2202
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 257
100.0%
Close Punctuation
ValueCountFrequency (%)
) 247
100.0%
Open Punctuation
ValueCountFrequency (%)
( 245
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%
Math Symbol
ValueCountFrequency (%)
~ 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12968
58.2%
Common 9000
40.4%
Latin 305
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
층 1480
 
11.4%
호 1112
 
8.6%
동 389
 
3.0%
빌 292
 
2.3%
딩 276
 
2.1%
교 275
 
2.1%
스 235
 
1.8%
관 223
 
1.7%
부 221
 
1.7%
화 210
 
1.6%
Other values (465) 8255
63.7%
Latin
ValueCountFrequency (%)
B 68
22.3%
A 42
13.8%
C 28
 
9.2%
I 13
 
4.3%
S 13
 
4.3%
K 12
 
3.9%
T 12
 
3.9%
F 12
 
3.9%
D 11
 
3.6%
M 11
 
3.6%
Other values (28) 83
27.2%
Common
ValueCountFrequency (%)
2202
24.5%
0 1144
12.7%
2 1041
11.6%
1 1011
11.2%
3 811
 
9.0%
4 561
 
6.2%
5 423
 
4.7%
6 313
 
3.5%
_ 257
 
2.9%
) 247
 
2.7%
Other values (10) 990
11.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12968
58.2%
ASCII 9297
41.7%
None 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2202
23.7%
0 1144
12.3%
2 1041
11.2%
1 1011
10.9%
3 811
 
8.7%
4 561
 
6.0%
5 423
 
4.5%
6 313
 
3.4%
_ 257
 
2.8%
) 247
 
2.7%
Other values (47) 1287
13.8%
Hangul
ValueCountFrequency (%)
층 1480
 
11.4%
호 1112
 
8.6%
동 389
 
3.0%
빌 292
 
2.3%
딩 276
 
2.1%
교 275
 
2.1%
스 235
 
1.8%
관 223
 
1.7%
부 221
 
1.7%
화 210
 
1.6%
Other values (465) 8255
63.7%
None
ValueCountFrequency (%)
· 8
100.0%

기관대표 전화번호
Text

MISSING 

Distinct4395
Distinct (%)96.0%
Missing450
Missing (%)8.9%
Memory size39.4 KiB
2024-01-14T22:26:46.420893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.756715
Min length9

Characters and Unicode

Total characters53834
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

Unique4245 ?
Unique (%)92.7%

Sample

1st row02-1544-9007
2nd row02-944-8665
3rd row02-3668-5485
4th row02-2173-8003
5th row02-2244-7125
ValueCountFrequency (%)
070-8819-3803 18
 
0.4%
02-3667-3503 4
 
0.1%
02-6080-2022 4
 
0.1%
061-330-7307 4
 
0.1%
02-518-5468 4
 
0.1%
02-1644-9655 3
 
0.1%
02-2106-4000 3
 
0.1%
02-338-5881 3
 
0.1%
031-756-7880 3
 
0.1%
02-2000-5449 3
 
0.1%
Other values (4385) 4530
98.9%
2024-01-14T22:26:46.978553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9109
16.9%
- 8987
16.7%
2 6032
11.2%
3 4862
9.0%
1 4690
8.7%
5 4373
8.1%
6 3464
 
6.4%
7 3312
 
6.2%
4 3267
 
6.1%
8 3055
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 44847
83.3%
Dash Punctuation 8987
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9109
20.3%
2 6032
13.5%
3 4862
10.8%
1 4690
10.5%
5 4373
9.8%
6 3464
 
7.7%
7 3312
 
7.4%
4 3267
 
7.3%
8 3055
 
6.8%
9 2683
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 8987
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 53834
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9109
16.9%
- 8987
16.7%
2 6032
11.2%
3 4862
9.0%
1 4690
8.7%
5 4373
8.1%
6 3464
 
6.4%
7 3312
 
6.2%
4 3267
 
6.1%
8 3055
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 53834
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9109
16.9%
- 8987
16.7%
2 6032
11.2%
3 4862
9.0%
1 4690
8.7%
5 4373
8.1%
6 3464
 
6.4%
7 3312
 
6.2%
4 3267
 
6.1%
8 3055
 
5.7%

Correlations

2024-01-14T22:26:47.115505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도기관유형대분류기관유형소분류
시도1.0000.3850.174
기관유형대분류0.3851.0001.000
기관유형소분류0.1741.0001.000
2024-01-14T22:26:47.237284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도기관유형소분류기관유형대분류
시도1.0000.0550.164
기관유형소분류0.0551.0000.995
기관유형대분류0.1640.9951.000
2024-01-14T22:26:47.389416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도기관유형대분류기관유형소분류
시도1.0000.1640.055
기관유형대분류0.1641.0000.995
기관유형소분류0.0550.9951.000

Missing values

2024-01-14T22:26:38.193859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-14T22:26:38.407998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-01-14T22:26:38.622922image/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

조사연도시도지역기관명기관유형대분류기관유형소분류우편번호기관주소1기관주소2기관대표 전화번호
02023서울동대문구한국사이버평생교육원원격형태<NA>025-82서울특별시 동대문구 왕산로 1411층02-1544-9007
12023서울동대문구글로리아평생교육원지식·인력개발형태<NA>025-82서울특별시 동대문구 왕산로 14글로리아타워02-944-8665
22023서울동대문구동화세상에듀코원격평생교육원원격형태<NA>025-80서울특별시 동대문구 왕산로 25(신규동)<NA>02-3668-5485
32023서울동대문구홈플러스문화센터동대문점사업장부설유통업체 문화센터025-65서울특별시 동대문구 천호대로 133(용두동)<NA>02-2173-8003
42023서울동대문구고시포코원격형태<NA>026-02서울특별시 동대문구 황물로 103(답십리동)<NA>02-2244-7125
52023서울중랑구홈플러스문화센터신내점사업장부설유통업체 문화센터020-24서울특별시 중랑구 신내로 201(신내동)<NA>02-2024-8003
62023서울동대문구남서울평생교육원지식·인력개발형태<NA>025-80서울특별시 동대문구 한빛로 12(신규동)<NA>02-922-4177
72023서울중랑구다윗실용음악평생교육원시민사회단체부설<NA>020-86서울특별시 중랑구 신내로1길 14(신내동)<NA>02-433-4826
82023서울중랑구중랑배움평생교육원언론기관부설<NA>022-43서울특별시 중랑구 답십리로77길 1052층02-6339-5300
92023서울동대문구롯데쇼핑(주)청량리점문화센터사업장부설유통업체 문화센터025-55서울특별시 동대문구 왕산로 214(전농동)롯데백화점8층02-3707-2830
조사연도시도지역기관명기관유형대분류기관유형소분류우편번호기관주소1기관주소2기관대표 전화번호
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