Overview

Dataset statistics

Number of variables11
Number of observations10000
Missing cells730
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory966.8 KiB
Average record size in memory99.0 B

Variable types

Numeric3
Text4
Categorical2
DateTime2

Dataset

Description학점은행제 운영 교육훈련기관 중 정보공시 대상 교육훈련기관에 대한 정보로서 공시년도, 공시시기코드, 기관명칭, 기관유형 명칭, 우편번호, 주소, URL, 지역명, 시군구명, 생성일시, 수정일시 항목을 제공합니다.
Author국가평생교육진흥원
URLhttps://www.data.go.kr/data/15087868/fileData.do

Alerts

URL has 702 (7.0%) missing valuesMissing
공시시기 has 1991 (19.9%) zerosZeros

Reproduction

Analysis started2023-12-12 12:50:57.293959
Analysis finished2023-12-12 12:51:00.449241
Duration3.16 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공시년도
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018.6757
Minimum2015
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:51:00.505320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2015
5-th percentile2016
Q12017
median2019
Q32020
95-th percentile2021
Maximum2021
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.542455
Coefficient of variation (CV)0.00076409252
Kurtosis-1.120051
Mean2018.6757
Median Absolute Deviation (MAD)1
Skewness-0.018680589
Sum20186757
Variance2.3791674
MonotonicityNot monotonic
2023-12-12T21:51:00.618377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2017 2009
20.1%
2018 1944
19.4%
2019 1874
18.7%
2020 1872
18.7%
2021 1551
15.5%
2016 745
 
7.4%
2015 5
 
0.1%
ValueCountFrequency (%)
2015 5
 
0.1%
2016 745
 
7.4%
2017 2009
20.1%
2018 1944
19.4%
2019 1874
18.7%
2020 1872
18.7%
2021 1551
15.5%
ValueCountFrequency (%)
2021 1551
15.5%
2020 1872
18.7%
2019 1874
18.7%
2018 1944
19.4%
2017 2009
20.1%
2016 745
 
7.4%
2015 5
 
0.1%

공시시기
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4784
Minimum0
Maximum9
Zeros1991
Zeros (%)19.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:51:00.743044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q38
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.313432
Coefficient of variation (CV)0.73986959
Kurtosis-1.5071745
Mean4.4784
Median Absolute Deviation (MAD)3
Skewness0.043657172
Sum44784
Variance10.978831
MonotonicityNot monotonic
2023-12-12T21:51:00.877748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 1991
19.9%
9 1625
16.2%
2 1616
16.2%
3 1609
16.1%
6 1586
15.9%
8 1573
15.7%
ValueCountFrequency (%)
0 1991
19.9%
2 1616
16.2%
3 1609
16.1%
6 1586
15.9%
8 1573
15.7%
9 1625
16.2%
ValueCountFrequency (%)
9 1625
16.2%
8 1573
15.7%
6 1586
15.9%
3 1609
16.1%
2 1616
16.2%
0 1991
19.9%

기관명칭
Text

Distinct635
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T21:51:01.131584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length12.3106
Min length4

Characters and Unicode

Total characters123106
Distinct characters328
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

Unique39 ?
Unique (%)0.4%

Sample

1st row한국예술사관실용전문학교
2nd row라인원격평생교육원
3rd row이누리평생교육원
4th row수원과학대학교 부설 평생교육원
5th row배론원격평생교육원
ValueCountFrequency (%)
평생교육원 606
 
5.2%
부설 467
 
4.0%
원격평생교육원 84
 
0.7%
미래교육원 66
 
0.6%
경기대학교 47
 
0.4%
서강직업전문학교 44
 
0.4%
기독간호대학교부설평생교육원 30
 
0.3%
서울현대직업전문학교 29
 
0.2%
백석대학교부설평생교육원 29
 
0.2%
국민대학교부설평생교육원 29
 
0.2%
Other values (648) 10227
87.7%
2023-12-12T21:51:01.563144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 14005
 
11.4%
원 9537
 
7.7%
학 8770
 
7.1%
육 7275
 
5.9%
평 6480
 
5.3%
대 6465
 
5.3%
생 6415
 
5.2%
부 4756
 
3.9%
설 4506
 
3.7%
전 2038
 
1.7%
Other values (318) 52859
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 117223
95.2%
Uppercase Letter 1912
 
1.6%
Space Separator 1676
 
1.4%
Close Punctuation 920
 
0.7%
Open Punctuation 920
 
0.7%
Lowercase Letter 301
 
0.2%
Dash Punctuation 71
 
0.1%
Other Punctuation 27
 
< 0.1%
Letter Number 24
 
< 0.1%
Decimal Number 21
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 14005
 
11.9%
원 9537
 
8.1%
학 8770
 
7.5%
육 7275
 
6.2%
평 6480
 
5.5%
대 6465
 
5.5%
생 6415
 
5.5%
부 4756
 
4.1%
설 4506
 
3.8%
전 2038
 
1.7%
Other values (275) 46976
40.1%
Uppercase Letter
ValueCountFrequency (%)
C 311
16.3%
K 190
9.9%
A 189
9.9%
O 161
8.4%
S 160
8.4%
B 136
 
7.1%
I 132
 
6.9%
M 121
 
6.3%
E 98
 
5.1%
J 62
 
3.2%
Other values (10) 352
18.4%
Lowercase Letter
ValueCountFrequency (%)
o 57
18.9%
s 47
15.6%
e 28
9.3%
t 26
8.6%
u 26
8.6%
d 26
8.6%
g 26
8.6%
y 21
 
7.0%
n 16
 
5.3%
i 8
 
2.7%
Other values (5) 20
 
6.6%
Space Separator
ValueCountFrequency (%)
1676
100.0%
Close Punctuation
ValueCountFrequency (%)
) 920
100.0%
Open Punctuation
ValueCountFrequency (%)
( 920
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 71
100.0%
Other Punctuation
ValueCountFrequency (%)
& 27
100.0%
Letter Number
ValueCountFrequency (%)
Ⅶ 24
100.0%
Decimal Number
ValueCountFrequency (%)
2 21
100.0%
Math Symbol
ValueCountFrequency (%)
+ 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 117223
95.2%
Common 3646
 
3.0%
Latin 2237
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 14005
 
11.9%
원 9537
 
8.1%
학 8770
 
7.5%
육 7275
 
6.2%
평 6480
 
5.5%
대 6465
 
5.5%
생 6415
 
5.5%
부 4756
 
4.1%
설 4506
 
3.8%
전 2038
 
1.7%
Other values (275) 46976
40.1%
Latin
ValueCountFrequency (%)
C 311
13.9%
K 190
 
8.5%
A 189
 
8.4%
O 161
 
7.2%
S 160
 
7.2%
B 136
 
6.1%
I 132
 
5.9%
M 121
 
5.4%
E 98
 
4.4%
J 62
 
2.8%
Other values (26) 677
30.3%
Common
ValueCountFrequency (%)
1676
46.0%
) 920
25.2%
( 920
25.2%
- 71
 
1.9%
& 27
 
0.7%
2 21
 
0.6%
+ 11
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 117223
95.2%
ASCII 5859
 
4.8%
Number Forms 24
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 14005
 
11.9%
원 9537
 
8.1%
학 8770
 
7.5%
육 7275
 
6.2%
평 6480
 
5.5%
대 6465
 
5.5%
생 6415
 
5.5%
부 4756
 
4.1%
설 4506
 
3.8%
전 2038
 
1.7%
Other values (275) 46976
40.1%
ASCII
ValueCountFrequency (%)
1676
28.6%
) 920
15.7%
( 920
15.7%
C 311
 
5.3%
K 190
 
3.2%
A 189
 
3.2%
O 161
 
2.7%
S 160
 
2.7%
B 136
 
2.3%
I 132
 
2.3%
Other values (32) 1064
18.2%
Number Forms
ValueCountFrequency (%)
Ⅶ 24
100.0%

기관유형명
Categorical

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
대학부설평생교육원
3064 
원격교육
1850 
전문대학부설평생교육원
1792 
인정직업훈련원
1730 
평생교육시설
469 
Other values (10)
1095 

Length

Max length11
Median length9
Mean length7.6069
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row인정직업훈련원
2nd row원격교육
3rd row원격교육
4th row전문대학부설평생교육원
5th row원격교육

Common Values

ValueCountFrequency (%)
대학부설평생교육원 3064
30.6%
원격교육 1850
18.5%
전문대학부설평생교육원 1792
17.9%
인정직업훈련원 1730
17.3%
평생교육시설 469
 
4.7%
사회계학원 231
 
2.3%
정부관련기관 215
 
2.1%
기술계학원 185
 
1.8%
특수학교 142
 
1.4%
전공심화 및 특별과정 108
 
1.1%
Other values (5) 214
 
2.1%

Length

2023-12-12T21:51:01.726978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대학부설평생교육원 3064
30.0%
원격교육 1850
18.1%
전문대학부설평생교육원 1792
17.5%
인정직업훈련원 1730
16.9%
평생교육시설 469
 
4.6%
사회계학원 231
 
2.3%
정부관련기관 215
 
2.1%
기술계학원 185
 
1.8%
특수학교 142
 
1.4%
전공심화 108
 
1.1%
Other values (7) 430
 
4.2%

우편번호
Real number (ℝ)

Distinct724
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62325.165
Minimum1018
Maximum791712
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:51:01.869146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1018
5-th percentile2582
Q16695
median18516
Q351352
95-th percentile402803
Maximum791712
Range790694
Interquartile range (IQR)44657

Descriptive statistics

Standard deviation121825.84
Coefficient of variation (CV)1.9546815
Kurtosis12.642545
Mean62325.165
Median Absolute Deviation (MAD)15385
Skewness3.4970443
Sum6.2325165 × 108
Variance1.4841536 × 1010
MonotonicityNot monotonic
2023-12-12T21:51:02.021816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8389 94
 
0.9%
55069 90
 
0.9%
130810 69
 
0.7%
2500 66
 
0.7%
22100 55
 
0.5%
8378 54
 
0.5%
6695 52
 
0.5%
8511 51
 
0.5%
6131 51
 
0.5%
2582 50
 
0.5%
Other values (714) 9368
93.7%
ValueCountFrequency (%)
1018 12
 
0.1%
1118 21
0.2%
1157 24
0.2%
1757 19
0.2%
1795 25
0.2%
1797 23
0.2%
1811 44
0.4%
1840 5
 
0.1%
1878 3
 
< 0.1%
1886 5
 
0.1%
ValueCountFrequency (%)
791712 2
< 0.1%
791711 2
< 0.1%
780714 2
< 0.1%
780713 1
< 0.1%
780290 1
< 0.1%
760822 1
< 0.1%
760711 2
< 0.1%
750711 2
< 0.1%
740703 2
< 0.1%
730918 1
< 0.1%

주소
Text

Distinct886
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T21:51:02.341116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length148
Median length79
Mean length26.2324
Min length12

Characters and Unicode

Total characters262324
Distinct characters412
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique102 ?
Unique (%)1.0%

Sample

1st row서울 중구 삼일대로2길 58 지하1층 1층일부 3층일부 5층일부
2nd row대구 남구 현충로 236 3층
3rd row서울 강서구 양천로 366 3층(가양동 미라클빌딩)
4th row경기 화성시 정남면 세자로 288
5th row서울 강남구 언주로 727 트리스빌딩 9층
ValueCountFrequency (%)
서울 3910
 
6.6%
경기 1327
 
2.2%
2층 661
 
1.1%
일부 620
 
1.0%
강남구 480
 
0.8%
종로구 470
 
0.8%
서울특별시 470
 
0.8%
서초구 470
 
0.8%
서대문구 458
 
0.8%
3층 455
 
0.8%
Other values (2049) 49732
84.2%
2023-12-12T21:51:02.894339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
53338
 
20.3%
1 11353
 
4.3%
구 9396
 
3.6%
로 8449
 
3.2%
서 7660
 
2.9%
2 7253
 
2.8%
3 6477
 
2.5%
대 5831
 
2.2%
층 5667
 
2.2%
동 5615
 
2.1%
Other values (402) 141285
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 142688
54.4%
Decimal Number 54882
 
20.9%
Space Separator 53338
 
20.3%
Dash Punctuation 3317
 
1.3%
Open Punctuation 2652
 
1.0%
Close Punctuation 2634
 
1.0%
Uppercase Letter 1055
 
0.4%
Math Symbol 961
 
0.4%
Other Punctuation 727
 
0.3%
Lowercase Letter 46
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 9396
 
6.6%
로 8449
 
5.9%
서 7660
 
5.4%
대 5831
 
4.1%
층 5667
 
4.0%
동 5615
 
3.9%
울 5277
 
3.7%
시 4396
 
3.1%
산 3264
 
2.3%
길 2858
 
2.0%
Other values (360) 84275
59.1%
Uppercase Letter
ValueCountFrequency (%)
B 487
46.2%
A 124
 
11.8%
S 72
 
6.8%
T 63
 
6.0%
K 63
 
6.0%
C 47
 
4.5%
I 41
 
3.9%
D 24
 
2.3%
O 23
 
2.2%
Y 23
 
2.2%
Other values (6) 88
 
8.3%
Decimal Number
ValueCountFrequency (%)
1 11353
20.7%
2 7253
13.2%
3 6477
11.8%
5 5469
10.0%
4 5236
9.5%
0 5136
9.4%
6 4831
8.8%
7 3703
 
6.7%
8 2972
 
5.4%
9 2452
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
e 22
47.8%
c 4
 
8.7%
i 4
 
8.7%
g 4
 
8.7%
r 4
 
8.7%
n 4
 
8.7%
z 4
 
8.7%
Other Punctuation
ValueCountFrequency (%)
/ 569
78.3%
· 144
 
19.8%
. 14
 
1.9%
Space Separator
ValueCountFrequency (%)
53338
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3317
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2652
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2634
100.0%
Math Symbol
ValueCountFrequency (%)
~ 961
100.0%
Letter Number
ValueCountFrequency (%)
Ⅶ 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 142688
54.4%
Common 118511
45.2%
Latin 1125
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 9396
 
6.6%
로 8449
 
5.9%
서 7660
 
5.4%
대 5831
 
4.1%
층 5667
 
4.0%
동 5615
 
3.9%
울 5277
 
3.7%
시 4396
 
3.1%
산 3264
 
2.3%
길 2858
 
2.0%
Other values (360) 84275
59.1%
Latin
ValueCountFrequency (%)
B 487
43.3%
A 124
 
11.0%
S 72
 
6.4%
T 63
 
5.6%
K 63
 
5.6%
C 47
 
4.2%
I 41
 
3.6%
Ⅶ 24
 
2.1%
D 24
 
2.1%
O 23
 
2.0%
Other values (14) 157
 
14.0%
Common
ValueCountFrequency (%)
53338
45.0%
1 11353
 
9.6%
2 7253
 
6.1%
3 6477
 
5.5%
5 5469
 
4.6%
4 5236
 
4.4%
0 5136
 
4.3%
6 4831
 
4.1%
7 3703
 
3.1%
- 3317
 
2.8%
Other values (8) 12398
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 142688
54.4%
ASCII 119468
45.5%
None 144
 
0.1%
Number Forms 24
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
53338
44.6%
1 11353
 
9.5%
2 7253
 
6.1%
3 6477
 
5.4%
5 5469
 
4.6%
4 5236
 
4.4%
0 5136
 
4.3%
6 4831
 
4.0%
7 3703
 
3.1%
- 3317
 
2.8%
Other values (30) 13355
 
11.2%
Hangul
ValueCountFrequency (%)
구 9396
 
6.6%
로 8449
 
5.9%
서 7660
 
5.4%
대 5831
 
4.1%
층 5667
 
4.0%
동 5615
 
3.9%
울 5277
 
3.7%
시 4396
 
3.1%
산 3264
 
2.3%
길 2858
 
2.0%
Other values (360) 84275
59.1%
None
ValueCountFrequency (%)
· 144
100.0%
Number Forms
ValueCountFrequency (%)
Ⅶ 24
100.0%

URL
Text

MISSING 

Distinct621
Distinct (%)6.7%
Missing702
Missing (%)7.0%
Memory size156.2 KiB
2023-12-12T21:51:03.165810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length47
Mean length20.497419
Min length7

Characters and Unicode

Total characters190585
Distinct characters58
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

Unique28 ?
Unique (%)0.3%

Sample

1st rowwww.kec.sc.kr
2nd rowlinecyber.net
3rd rowhttp://www.e-nuriedu.co.kr
4th rowwww.ssc.ac.kr
5th rowhttp://www.baeron.com/
ValueCountFrequency (%)
http://edu.mjc.ac.kr 46
 
0.5%
http://lifelong.shu.ac.kr 38
 
0.4%
http://www.hdhrd.or.kr 35
 
0.4%
www.ccn.ac.kr 30
 
0.3%
http://lifelong.kookmin.ac.kr 29
 
0.3%
cec.eulji.ac.kr 28
 
0.3%
http://lifelong.ghu.ac.kr 28
 
0.3%
ice.cs.ac.kr 28
 
0.3%
www.herstory.or.kr 28
 
0.3%
www.bts.ac.kr 28
 
0.3%
Other values (614) 9046
96.6%
2023-12-12T21:51:03.615709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 25989
13.6%
w 13959
 
7.3%
c 13811
 
7.2%
/ 12328
 
6.5%
t 12087
 
6.3%
r 11055
 
5.8%
k 10889
 
5.7%
a 10810
 
5.7%
e 9377
 
4.9%
h 7671
 
4.0%
Other values (48) 62609
32.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 145318
76.2%
Other Punctuation 43187
 
22.7%
Decimal Number 1231
 
0.6%
Dash Punctuation 214
 
0.1%
Connector Punctuation 196
 
0.1%
Math Symbol 189
 
0.1%
Uppercase Letter 130
 
0.1%
Space Separator 110
 
0.1%
Other Letter 10
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 13959
 
9.6%
c 13811
 
9.5%
t 12087
 
8.3%
r 11055
 
7.6%
k 10889
 
7.5%
a 10810
 
7.4%
e 9377
 
6.5%
h 7671
 
5.3%
o 7639
 
5.3%
n 5662
 
3.9%
Other values (16) 42358
29.1%
Decimal Number
ValueCountFrequency (%)
2 247
20.1%
1 240
19.5%
0 237
19.3%
7 101
8.2%
4 90
 
7.3%
6 74
 
6.0%
3 72
 
5.8%
9 69
 
5.6%
8 62
 
5.0%
5 39
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
C 39
30.0%
U 26
20.0%
E 26
20.0%
Y 10
 
7.7%
H 10
 
7.7%
I 10
 
7.7%
N 4
 
3.1%
B 2
 
1.5%
M 2
 
1.5%
L 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
. 25989
60.2%
/ 12328
28.5%
: 4761
 
11.0%
& 89
 
0.2%
# 20
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
= 142
75.1%
~ 47
 
24.9%
Other Letter
ValueCountFrequency (%)
외 5
50.0%
개 5
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 214
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 196
100.0%
Space Separator
ValueCountFrequency (%)
110
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 145448
76.3%
Common 45127
 
23.7%
Hangul 10
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 13959
 
9.6%
c 13811
 
9.5%
t 12087
 
8.3%
r 11055
 
7.6%
k 10889
 
7.5%
a 10810
 
7.4%
e 9377
 
6.4%
h 7671
 
5.3%
o 7639
 
5.3%
n 5662
 
3.9%
Other values (26) 42488
29.2%
Common
ValueCountFrequency (%)
. 25989
57.6%
/ 12328
27.3%
: 4761
 
10.6%
2 247
 
0.5%
1 240
 
0.5%
0 237
 
0.5%
- 214
 
0.5%
_ 196
 
0.4%
= 142
 
0.3%
110
 
0.2%
Other values (10) 663
 
1.5%
Hangul
ValueCountFrequency (%)
외 5
50.0%
개 5
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 190575
> 99.9%
Hangul 10
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 25989
13.6%
w 13959
 
7.3%
c 13811
 
7.2%
/ 12328
 
6.5%
t 12087
 
6.3%
r 11055
 
5.8%
k 10889
 
5.7%
a 10810
 
5.7%
e 9377
 
4.9%
h 7671
 
4.0%
Other values (46) 62599
32.8%
Hangul
ValueCountFrequency (%)
외 5
50.0%
개 5
50.0%

지역명
Categorical

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
서울시
4699 
경기도
1484 
부산시
506 
인천시
 
456
충청남도
 
396
Other values (12)
2459 

Length

Max length4
Median length3
Mean length3.1721
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울시
2nd row대구시
3rd row서울시
4th row경기도
5th row서울시

Common Values

ValueCountFrequency (%)
서울시 4699
47.0%
경기도 1484
 
14.8%
부산시 506
 
5.1%
인천시 456
 
4.6%
충청남도 396
 
4.0%
전라북도 377
 
3.8%
대구시 369
 
3.7%
경상북도 320
 
3.2%
대전시 317
 
3.2%
광주시 290
 
2.9%
Other values (7) 786
 
7.9%

Length

2023-12-12T21:51:03.783166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울시 4699
47.0%
경기도 1484
 
14.8%
부산시 506
 
5.1%
인천시 456
 
4.6%
충청남도 396
 
4.0%
전라북도 377
 
3.8%
대구시 369
 
3.7%
경상북도 320
 
3.2%
대전시 317
 
3.2%
광주시 290
 
2.9%
Other values (7) 786
 
7.9%

시군구명
Text

Distinct133
Distinct (%)1.3%
Missing28
Missing (%)0.3%
Memory size156.2 KiB
2023-12-12T21:51:04.171437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.4509627
Min length2

Characters and Unicode

Total characters34413
Distinct characters114
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

Unique2 ?
Unique (%)< 0.1%

Sample

1st row중구
2nd row남구
3rd row강서구
4th row화성시
5th row강남구
ValueCountFrequency (%)
강남구 463
 
4.3%
동대문구 425
 
3.9%
서초구 419
 
3.8%
서대문구 406
 
3.7%
종로구 402
 
3.7%
영등포구 335
 
3.1%
남구 333
 
3.1%
동작구 264
 
2.4%
중구 256
 
2.4%
구로구 231
 
2.1%
Other values (128) 7350
67.5%
2023-12-12T21:51:04.617970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 7916
23.0%
시 2984
 
8.7%
서 1368
 
4.0%
동 1292
 
3.8%
남 1258
 
3.7%
산 1117
 
3.2%
대 926
 
2.7%
912
 
2.7%
문 831
 
2.4%
천 783
 
2.3%
Other values (104) 15026
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33501
97.3%
Space Separator 912
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 7916
23.6%
시 2984
 
8.9%
서 1368
 
4.1%
동 1292
 
3.9%
남 1258
 
3.8%
산 1117
 
3.3%
대 926
 
2.8%
문 831
 
2.5%
천 783
 
2.3%
강 737
 
2.2%
Other values (103) 14289
42.7%
Space Separator
ValueCountFrequency (%)
912
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33501
97.3%
Common 912
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 7916
23.6%
시 2984
 
8.9%
서 1368
 
4.1%
동 1292
 
3.9%
남 1258
 
3.8%
산 1117
 
3.3%
대 926
 
2.8%
문 831
 
2.5%
천 783
 
2.3%
강 737
 
2.2%
Other values (103) 14289
42.7%
Common
ValueCountFrequency (%)
912
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33501
97.3%
ASCII 912
 
2.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 7916
23.6%
시 2984
 
8.9%
서 1368
 
4.1%
동 1292
 
3.9%
남 1258
 
3.8%
산 1117
 
3.3%
대 926
 
2.8%
문 831
 
2.5%
천 783
 
2.3%
강 737
 
2.2%
Other values (103) 14289
42.7%
ASCII
ValueCountFrequency (%)
912
100.0%

생성일시
Date

Distinct60
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2016-09-09 13:57:09
Maximum2021-07-21 10:16:16
2023-12-12T21:51:04.773751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:51:04.938261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수정일시
Date

Distinct54
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2016-09-09 13:57:09
Maximum2021-07-21 10:34:28
2023-12-12T21:51:05.097595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:51:05.250712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T21:50:59.216380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:58.554097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:58.864718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:59.419943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:58.663416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:58.977088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:59.540250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:58.751206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:59.102076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:51:05.380944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시년도공시시기기관유형명우편번호지역명생성일시수정일시
공시년도1.0000.4650.1280.4400.0001.0001.000
공시시기0.4651.0000.0000.1640.0000.9880.997
기관유형명0.1280.0001.0000.6190.5340.4370.324
우편번호0.4400.1640.6191.0000.6480.5000.484
지역명0.0000.0000.5340.6481.0000.0900.000
생성일시1.0000.9880.4370.5000.0901.0000.997
수정일시1.0000.9970.3240.4840.0000.9971.000
2023-12-12T21:51:05.517711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관유형명지역명
기관유형명1.0000.207
지역명0.2071.000
2023-12-12T21:51:05.668221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시년도공시시기우편번호기관유형명지역명
공시년도1.000-0.057-0.1980.0540.000
공시시기-0.0571.000-0.0100.0000.000
우편번호-0.198-0.0101.0000.2840.318
기관유형명0.0540.0000.2841.0000.207
지역명0.0000.0000.3180.2071.000

Missing values

2023-12-12T21:51:00.017652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:51:00.256479image/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.
2023-12-12T21:51:00.391331image/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

공시년도공시시기기관명칭기관유형명우편번호주소URL지역명시군구명생성일시수정일시
92120180한국예술사관실용전문학교인정직업훈련원4627서울 중구 삼일대로2길 58 지하1층 1층일부 3층일부 5층일부www.kec.sc.kr서울시중구2018-01-23 16:51:49.02018-05-30 16:28:23.0
915120199라인원격평생교육원원격교육42412대구 남구 현충로 236 3층linecyber.net대구시남구2019-08-23 18:15:13.02019-08-23 18:15:13.0
664920198이누리평생교육원원격교육7573서울 강서구 양천로 366 3층(가양동 미라클빌딩)http://www.e-nuriedu.co.kr서울시강서구2019-07-30 14:31:13.02019-07-30 14:31:13.0
616920179수원과학대학교 부설 평생교육원전문대학부설평생교육원18516경기 화성시 정남면 세자로 288www.ssc.ac.kr경기도화성시2017-08-31 13:24:27.02018-12-20 15:45:14.0
1171820208배론원격평생교육원원격교육6050서울 강남구 언주로 727 트리스빌딩 9층http://www.baeron.com/서울시강남구2020-07-21 11:09:21.02020-07-31 15:49:10.0
858420202덕성여자대학교부설평생교육원대학부설평생교육원3131서울 종로구 삼일대로 460(운니동 114)adult.duksung.ac.kr서울시종로구2020-01-29 15:12:12.02020-01-29 15:12:12.0
1188120208제일에듀원격평생교육원원격교육41250대구 동구 동대구로 460 4층http://www.ieedu.co.kr대구시동구2020-07-21 11:09:21.02020-07-31 15:49:10.0
550520183이누리평생교육원원격교육7573서울 강서구 양천로 366 3층(가양동 미라클빌딩)http://www.e-nuriedu.co.kr서울시강서구2018-03-02 09:40:17.02018-03-02 09:52:23.0
739920196한서항공직업전문학교인정직업훈련원4707서울 성동구 마장로 208www.gohanseo.or.kr서울시성동구2019-05-29 14:51:39.02019-06-18 13:43:42.0
571020189대구대학교부설평생교육원대학부설평생교육원42400대구 남구 성당로50길 33https://lifelong.daegu.ac.kr대구시남구2018-08-23 18:03:03.02018-12-20 15:48:07.0
공시년도공시시기기관명칭기관유형명우편번호주소URL지역명시군구명생성일시수정일시
1285920210동아예술실용전문학교인정직업훈련원8526서울 금천구 두산로5길 11 영성빌딩 2층http://dart.ac.kr서울시금천구2021-01-04 10:32:07.02021-04-14 11:09:56.0
963120203한국문화예술실용전문학교인정직업훈련원15361경기 안산시 단원구 중앙대로 937 (해양빌딩)http://kca.ac.kr/경기도안산시2020-02-24 16:37:56.02020-02-24 16:37:56.0
40820190전주비전대학교부설원격평생교육원원격교육55069전북 전주시 완산구 천잠로 235 전주비전대학cybercec.jvision.ac.kr전라북도전주시 완산구2019-01-03 15:40:18.02020-05-13 14:43:42.0
996420213이누리평생교육원원격교육7573서울 강서구 양천로 366 3층(가양동 미라클빌딩)http://www.e-nuriedu.co.kr서울시강서구2021-02-23 14:39:20.02021-03-02 15:09:28.0
503020182숙명여자대학교 미래교육원대학부설평생교육원4310서울 용산구 청파동2가 53-6open.sookmyung.ac.kr서울시용산구2018-01-30 19:07:18.02018-01-30 19:07:18.0
5520189한신대학교부설평생교육원대학부설평생교육원18101경기 오산시 한신대길 137http://life.hs.ac.kr경기도오산시2018-08-23 18:03:04.02018-12-20 15:48:07.0
349620173경복대학교부설평생교육원전문대학부설평생교육원12051경기 남양주시 진접읍 경복대로 425<NA>경기도남양주시2017-08-31 13:24:27.02017-08-31 13:24:27.0
914820199디아프(DIAF)패션디자인학원기술계학원6536서울 강남구 학동로4길 20 2층http://www.diaf.ac.kr서울시강남구2019-08-23 18:15:13.02019-08-23 18:15:13.0
1260720206영산대학교부설평생교육원대학부설평생교육원50510경남 양산시 주남로 288http://ysedu.ysu.ac.kr경상남도양산시2020-05-25 15:22:14.02020-05-25 15:22:14.0
263920160안양패션디자인학원기술계학원430837경기 안양시 만안구 안양4동 782-6 현진빌딩 8층http://ayfd.co.kr경기도안양시 만안구2016-09-09 13:57:10.02016-09-09 13:57:10.0