Overview

Dataset statistics

Number of variables22
Number of observations1341
Missing cells1701
Missing cells (%)5.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory242.4 KiB
Average record size in memory185.1 B

Variable types

Categorical7
Numeric8
Text5
Boolean2

Dataset

Description행정구역명,학원/교습소,학원지정번호,학원명,도로명주소,도로명상세주소,분야명,교습계열명,교습과정목록명,교습과정명,정원합계,일시수용능력인원합계,인당수강료내용,수강료공개여부,기숙사학원여부,도로명우편번호,등록상태명,등록일자,휴원시작일자,휴원종료일자,개설일자,적재일시
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-20554/S/1/datasetView.do

Alerts

행정구역명 has constant value ""Constant
등록상태명 has constant value ""Constant
교습과정명 is highly imbalanced (51.1%)Imbalance
수강료공개여부 is highly imbalanced (56.0%)Imbalance
기숙사학원여부 is highly imbalanced (98.3%)Imbalance
휴원시작일자 is highly imbalanced (98.3%)Imbalance
교습과정목록명 has 395 (29.5%) missing valuesMissing
인당수강료내용 has 1072 (79.9%) missing valuesMissing
기숙사학원여부 has 114 (8.5%) missing valuesMissing
휴원종료일자 has 120 (8.9%) missing valuesMissing
학원지정번호 has unique valuesUnique
학원명 has unique valuesUnique
정원합계 has 92 (6.9%) zerosZeros
일시수용능력인원합계 has 72 (5.4%) zerosZeros

Reproduction

Analysis started2024-05-11 07:03:58.583008
Analysis finished2024-05-11 07:03:59.998205
Duration1.42 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정구역명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
강동구
1341 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강동구 1341
100.0%

Length

2024-05-11T16:04:00.100015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:04:00.238023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강동구 1341
100.0%

학원/교습소
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
학원
741 
교습소
600 

Length

Max length3
Median length2
Mean length2.4474273
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
학원 741
55.3%
교습소 600
44.7%

Length

2024-05-11T16:04:00.397335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:04:00.549898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학원 741
55.3%
교습소 600
44.7%

학원지정번호
Real number (ℝ)

UNIQUE 

Distinct1341
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1804905 × 109
Minimum585
Maximum3.0000503 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2024-05-11T16:04:00.726733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum585
5-th percentile6665
Q11.0000277 × 109
median3.0000271 × 109
Q33.0000387 × 109
95-th percentile3.0000481 × 109
Maximum3.0000503 × 109
Range3.0000497 × 109
Interquartile range (IQR)2.000011 × 109

Descriptive statistics

Standard deviation1.2567287 × 109
Coefficient of variation (CV)0.57635137
Kurtosis-0.86613682
Mean2.1804905 × 109
Median Absolute Deviation (MAD)14821
Skewness-0.99622005
Sum2.9240378 × 1012
Variance1.579367 × 1018
MonotonicityNot monotonic
2024-05-11T16:04:00.949208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1000021999 1
 
0.1%
3000038299 1
 
0.1%
3000038238 1
 
0.1%
3000038237 1
 
0.1%
3000038231 1
 
0.1%
3000038229 1
 
0.1%
3000038207 1
 
0.1%
3000038198 1
 
0.1%
3000038167 1
 
0.1%
3000038159 1
 
0.1%
Other values (1331) 1331
99.3%
ValueCountFrequency (%)
585 1
0.1%
747 1
0.1%
763 1
0.1%
980 1
0.1%
1044 1
0.1%
1047 1
0.1%
1087 1
0.1%
1099 1
0.1%
1103 1
0.1%
1129 1
0.1%
ValueCountFrequency (%)
3000050334 1
0.1%
3000050333 1
0.1%
3000050332 1
0.1%
3000050328 1
0.1%
3000050313 1
0.1%
3000050269 1
0.1%
3000050268 1
0.1%
3000050226 1
0.1%
3000050183 1
0.1%
3000050155 1
0.1%

학원명
Text

UNIQUE 

Distinct1341
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
2024-05-11T16:04:01.271545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length27
Mean length9.6711409
Min length2

Characters and Unicode

Total characters12969
Distinct characters626
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1341 ?
Unique (%)100.0%

Sample

1st row수도민속무용학원
2nd row이레음악학원
3rd row세종아트무용학원
4th row쇼팽음악학원
5th row우성경리학원
ValueCountFrequency (%)
피케이리더스(pk 2
 
0.1%
수도민속무용학원 1
 
0.1%
아트&하트미술학원 1
 
0.1%
장샘수학그라시움관학원 1
 
0.1%
프리마발레학원 1
 
0.1%
은미술교습소 1
 
0.1%
science)과학교습소 1
 
0.1%
장스사이언스(장's 1
 
0.1%
전병훈수학초등관학원 1
 
0.1%
jj영어수학학원 1
 
0.1%
Other values (1346) 1346
99.2%
2024-05-11T16:04:01.911099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 1037
 
8.0%
원 773
 
6.0%
습 691
 
5.3%
소 590
 
4.5%
교 589
 
4.5%
어 349
 
2.7%
수 294
 
2.3%
영 273
 
2.1%
이 271
 
2.1%
술 232
 
1.8%
Other values (616) 7870
60.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12130
93.5%
Uppercase Letter 345
 
2.7%
Lowercase Letter 183
 
1.4%
Close Punctuation 102
 
0.8%
Open Punctuation 102
 
0.8%
Decimal Number 56
 
0.4%
Other Punctuation 31
 
0.2%
Space Separator 16
 
0.1%
Math Symbol 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 1037
 
8.5%
원 773
 
6.4%
습 691
 
5.7%
소 590
 
4.9%
교 589
 
4.9%
어 349
 
2.9%
수 294
 
2.4%
영 273
 
2.3%
이 271
 
2.2%
술 232
 
1.9%
Other values (549) 7031
58.0%
Uppercase Letter
ValueCountFrequency (%)
S 41
 
11.9%
E 38
 
11.0%
M 31
 
9.0%
C 24
 
7.0%
T 19
 
5.5%
G 16
 
4.6%
P 15
 
4.3%
Y 15
 
4.3%
J 15
 
4.3%
K 15
 
4.3%
Other values (15) 116
33.6%
Lowercase Letter
ValueCountFrequency (%)
e 23
12.6%
a 18
9.8%
i 18
9.8%
s 16
 
8.7%
o 14
 
7.7%
r 13
 
7.1%
n 12
 
6.6%
h 10
 
5.5%
c 10
 
5.5%
l 8
 
4.4%
Other values (11) 41
22.4%
Decimal Number
ValueCountFrequency (%)
1 19
33.9%
2 17
30.4%
0 6
 
10.7%
3 5
 
8.9%
4 3
 
5.4%
6 3
 
5.4%
5 3
 
5.4%
Other Punctuation
ValueCountFrequency (%)
& 12
38.7%
. 9
29.0%
? 3
 
9.7%
, 3
 
9.7%
' 2
 
6.5%
# 1
 
3.2%
: 1
 
3.2%
Open Punctuation
ValueCountFrequency (%)
( 101
99.0%
{ 1
 
1.0%
Close Punctuation
ValueCountFrequency (%)
) 102
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12129
93.5%
Latin 529
 
4.1%
Common 310
 
2.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 1037
 
8.5%
원 773
 
6.4%
습 691
 
5.7%
소 590
 
4.9%
교 589
 
4.9%
어 349
 
2.9%
수 294
 
2.4%
영 273
 
2.3%
이 271
 
2.2%
술 232
 
1.9%
Other values (548) 7030
58.0%
Latin
ValueCountFrequency (%)
S 41
 
7.8%
E 38
 
7.2%
M 31
 
5.9%
C 24
 
4.5%
e 23
 
4.3%
T 19
 
3.6%
a 18
 
3.4%
i 18
 
3.4%
s 16
 
3.0%
G 16
 
3.0%
Other values (37) 285
53.9%
Common
ValueCountFrequency (%)
) 102
32.9%
( 101
32.6%
1 19
 
6.1%
2 17
 
5.5%
16
 
5.2%
& 12
 
3.9%
. 9
 
2.9%
0 6
 
1.9%
3 5
 
1.6%
4 3
 
1.0%
Other values (10) 20
 
6.5%
Han
ValueCountFrequency (%)
逅 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12129
93.5%
ASCII 838
 
6.5%
CJK 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 1037
 
8.5%
원 773
 
6.4%
습 691
 
5.7%
소 590
 
4.9%
교 589
 
4.9%
어 349
 
2.9%
수 294
 
2.4%
영 273
 
2.3%
이 271
 
2.2%
술 232
 
1.9%
Other values (548) 7030
58.0%
ASCII
ValueCountFrequency (%)
) 102
 
12.2%
( 101
 
12.1%
S 41
 
4.9%
E 38
 
4.5%
M 31
 
3.7%
C 24
 
2.9%
e 23
 
2.7%
1 19
 
2.3%
T 19
 
2.3%
a 18
 
2.1%
Other values (56) 422
50.4%
CJK
ValueCountFrequency (%)
逅 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명주소
Text

Distinct649
Distinct (%)48.4%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
2024-05-11T16:04:02.700336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length18.667412
Min length9

Characters and Unicode

Total characters25033
Distinct characters54
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

Unique422 ?
Unique (%)31.5%

Sample

1st row서울특별시 강동구 양재대로 1371
2nd row서울특별시 강동구 구천면로 440
3rd row서울특별시 강동구 양재대로 1329
4th row서울특별시 강동구 양재대로 1666
5th row서울특별시 강동구 천호대로187길 79
ValueCountFrequency (%)
강동구 1341
25.1%
서울특별시 1340
25.1%
고덕로 158
 
3.0%
양재대로 130
 
2.4%
구천면로 76
 
1.4%
동남로71길 63
 
1.2%
133 61
 
1.1%
명일로 60
 
1.1%
동남로75길 40
 
0.7%
아리수로93나길 37
 
0.7%
Other values (515) 2041
38.2%
2024-05-11T16:04:03.498746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4006
16.0%
동 1572
 
6.3%
구 1431
 
5.7%
강 1347
 
5.4%
서 1341
 
5.4%
울 1341
 
5.4%
특 1340
 
5.4%
별 1340
 
5.4%
시 1340
 
5.4%
로 1324
 
5.3%
Other values (44) 8651
34.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16021
64.0%
Decimal Number 4910
 
19.6%
Space Separator 4006
 
16.0%
Dash Punctuation 96
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1572
9.8%
구 1431
8.9%
강 1347
8.4%
서 1341
8.4%
울 1341
8.4%
특 1340
8.4%
별 1340
8.4%
시 1340
8.4%
로 1324
8.3%
길 712
 
4.4%
Other values (32) 2933
18.3%
Decimal Number
ValueCountFrequency (%)
1 955
19.5%
3 726
14.8%
2 498
10.1%
5 490
10.0%
6 475
9.7%
7 403
8.2%
9 368
 
7.5%
0 334
 
6.8%
8 332
 
6.8%
4 329
 
6.7%
Space Separator
ValueCountFrequency (%)
4006
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16021
64.0%
Common 9012
36.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1572
9.8%
구 1431
8.9%
강 1347
8.4%
서 1341
8.4%
울 1341
8.4%
특 1340
8.4%
별 1340
8.4%
시 1340
8.4%
로 1324
8.3%
길 712
 
4.4%
Other values (32) 2933
18.3%
Common
ValueCountFrequency (%)
4006
44.5%
1 955
 
10.6%
3 726
 
8.1%
2 498
 
5.5%
5 490
 
5.4%
6 475
 
5.3%
7 403
 
4.5%
9 368
 
4.1%
0 334
 
3.7%
8 332
 
3.7%
Other values (2) 425
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16021
64.0%
ASCII 9012
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4006
44.5%
1 955
 
10.6%
3 726
 
8.1%
2 498
 
5.5%
5 490
 
5.4%
6 475
 
5.3%
7 403
 
4.5%
9 368
 
4.1%
0 334
 
3.7%
8 332
 
3.7%
Other values (2) 425
 
4.7%
Hangul
ValueCountFrequency (%)
동 1572
9.8%
구 1431
8.9%
강 1347
8.4%
서 1341
8.4%
울 1341
8.4%
특 1340
8.4%
별 1340
8.4%
시 1340
8.4%
로 1324
8.3%
길 712
 
4.4%
Other values (32) 2933
18.3%

도로명상세주소
Text

Distinct1040
Distinct (%)77.6%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
2024-05-11T16:04:03.937279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length47
Mean length17.384787
Min length4

Characters and Unicode

Total characters23313
Distinct characters255
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique931 ?
Unique (%)69.4%

Sample

1st row, 4층 403호 (성내동)
2nd row, 2층 (명일동)
3rd row, 4층 (성내동)
4th row, 3층1호 (명일동)
5th row(길동)
ValueCountFrequency (%)
1154
23.1%
명일동 317
 
6.3%
2층 288
 
5.8%
일부 183
 
3.7%
암사동 176
 
3.5%
3층 174
 
3.5%
성내동 167
 
3.3%
고덕동 132
 
2.6%
천호동 111
 
2.2%
길동 89
 
1.8%
Other values (764) 2213
44.2%
2024-05-11T16:04:04.625520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3757
16.1%
, 1914
 
8.2%
동 1577
 
6.8%
) 1479
 
6.3%
( 1478
 
6.3%
2 936
 
4.0%
호 923
 
4.0%
일 908
 
3.9%
층 895
 
3.8%
0 662
 
2.8%
Other values (245) 8784
37.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10853
46.6%
Space Separator 3757
 
16.1%
Decimal Number 3599
 
15.4%
Other Punctuation 1930
 
8.3%
Close Punctuation 1479
 
6.3%
Open Punctuation 1478
 
6.3%
Uppercase Letter 114
 
0.5%
Dash Punctuation 78
 
0.3%
Math Symbol 25
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1577
 
14.5%
호 923
 
8.5%
일 908
 
8.4%
층 895
 
8.2%
명 414
 
3.8%
부 348
 
3.2%
상 275
 
2.5%
트 271
 
2.5%
덕 267
 
2.5%
고 266
 
2.5%
Other values (208) 4709
43.4%
Uppercase Letter
ValueCountFrequency (%)
A 36
31.6%
K 14
 
12.3%
P 9
 
7.9%
I 9
 
7.9%
R 8
 
7.0%
D 6
 
5.3%
M 6
 
5.3%
B 5
 
4.4%
S 4
 
3.5%
X 4
 
3.5%
Other values (8) 13
 
11.4%
Decimal Number
ValueCountFrequency (%)
2 936
26.0%
0 662
18.4%
1 652
18.1%
3 598
16.6%
4 284
 
7.9%
5 172
 
4.8%
6 111
 
3.1%
7 73
 
2.0%
8 59
 
1.6%
9 52
 
1.4%
Other Punctuation
ValueCountFrequency (%)
, 1914
99.2%
. 8
 
0.4%
? 6
 
0.3%
/ 2
 
0.1%
Space Separator
ValueCountFrequency (%)
3757
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1479
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1478
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%
Math Symbol
ValueCountFrequency (%)
~ 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12346
53.0%
Hangul 10852
46.5%
Latin 114
 
0.5%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1577
 
14.5%
호 923
 
8.5%
일 908
 
8.4%
층 895
 
8.2%
명 414
 
3.8%
부 348
 
3.2%
상 275
 
2.5%
트 271
 
2.5%
덕 267
 
2.5%
고 266
 
2.5%
Other values (207) 4708
43.4%
Common
ValueCountFrequency (%)
3757
30.4%
, 1914
15.5%
) 1479
 
12.0%
( 1478
 
12.0%
2 936
 
7.6%
0 662
 
5.4%
1 652
 
5.3%
3 598
 
4.8%
4 284
 
2.3%
5 172
 
1.4%
Other values (9) 414
 
3.4%
Latin
ValueCountFrequency (%)
A 36
31.6%
K 14
 
12.3%
P 9
 
7.9%
I 9
 
7.9%
R 8
 
7.0%
D 6
 
5.3%
M 6
 
5.3%
B 5
 
4.4%
S 4
 
3.5%
X 4
 
3.5%
Other values (8) 13
 
11.4%
Han
ValueCountFrequency (%)
家 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12460
53.4%
Hangul 10852
46.5%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3757
30.2%
, 1914
15.4%
) 1479
 
11.9%
( 1478
 
11.9%
2 936
 
7.5%
0 662
 
5.3%
1 652
 
5.2%
3 598
 
4.8%
4 284
 
2.3%
5 172
 
1.4%
Other values (27) 528
 
4.2%
Hangul
ValueCountFrequency (%)
동 1577
 
14.5%
호 923
 
8.5%
일 908
 
8.4%
층 895
 
8.2%
명 414
 
3.8%
부 348
 
3.2%
상 275
 
2.5%
트 271
 
2.5%
덕 267
 
2.5%
고 266
 
2.5%
Other values (207) 4708
43.4%
CJK
ValueCountFrequency (%)
家 1
100.0%

분야명
Categorical

Distinct8
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
입시.검정 및 보습
774 
예능(대)
398 
기타(대)
 
51
국제화
 
45
독서실
 
22
Other values (3)
 
51

Length

Max length10
Median length10
Mean length7.7710664
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기예(대)
2nd row예능(대)
3rd row예능(대)
4th row예능(대)
5th row기타(대)

Common Values

ValueCountFrequency (%)
입시.검정 및 보습 774
57.7%
예능(대) 398
29.7%
기타(대) 51
 
3.8%
국제화 45
 
3.4%
독서실 22
 
1.6%
기예(대) 20
 
1.5%
직업기술 20
 
1.5%
종합(대) 11
 
0.8%

Length

2024-05-11T16:04:04.890660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:04:05.068569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
입시.검정 774
26.8%
및 774
26.8%
보습 774
26.8%
예능(대 398
13.8%
기타(대 51
 
1.8%
국제화 45
 
1.6%
독서실 22
 
0.8%
기예(대 20
 
0.7%
직업기술 20
 
0.7%
종합(대 11
 
0.4%

교습계열명
Categorical

Distinct14
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
보통교과
703 
예능(중)
371 
<NA>
115 
기타(중)
 
49
외국어
 
44
Other values (9)
 
59

Length

Max length6
Median length4
Mean length4.2818792
Min length2

Unique

Unique4 ?
Unique (%)0.3%

Sample

1st row기예(중)
2nd row예능(중)
3rd row예능(중)
4th row예능(중)
5th row기타(중)

Common Values

ValueCountFrequency (%)
보통교과 703
52.4%
예능(중) 371
27.7%
<NA> 115
 
8.6%
기타(중) 49
 
3.7%
외국어 44
 
3.3%
독서 22
 
1.6%
기예(중) 19
 
1.4%
산업응용기술 9
 
0.7%
간호보조기술 3
 
0.2%
산업기반기술 2
 
0.1%
Other values (4) 4
 
0.3%

Length

2024-05-11T16:04:05.317166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
보통교과 703
52.4%
예능(중 371
27.7%
na 115
 
8.6%
기타(중 49
 
3.7%
외국어 44
 
3.3%
독서 22
 
1.6%
기예(중 19
 
1.4%
산업응용기술 9
 
0.7%
간호보조기술 3
 
0.2%
산업기반기술 2
 
0.1%
Other values (4) 4
 
0.3%

교습과정목록명
Text

MISSING 

Distinct360
Distinct (%)38.1%
Missing395
Missing (%)29.5%
Memory size10.6 KiB
2024-05-11T16:04:05.659624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length34
Mean length7.705074
Min length2

Characters and Unicode

Total characters7289
Distinct characters170
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

Unique325 ?
Unique (%)34.4%

Sample

1st row음악,
2nd row음악,
3rd row경리,
4th row음악,
5th row음악
ValueCountFrequency (%)
보습 337
32.9%
음악 87
 
8.5%
미술 47
 
4.6%
실용외국어(유아/초?중?고 27
 
2.6%
독서실(유아/초?중?고 18
 
1.8%
피아노 17
 
1.7%
무용 14
 
1.4%
회60분 12
 
1.2%
기타(소 9
 
0.9%
실용음악(성악 8
 
0.8%
Other values (369) 448
43.8%
2024-05-11T16:04:06.195823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 663
 
9.1%
회 545
 
7.5%
( 460
 
6.3%
) 460
 
6.3%
주 381
 
5.2%
보 353
 
4.8%
습 349
 
4.8%
분 322
 
4.4%
0 290
 
4.0%
초 240
 
3.3%
Other values (160) 3226
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4200
57.6%
Decimal Number 1206
 
16.5%
Other Punctuation 830
 
11.4%
Open Punctuation 460
 
6.3%
Close Punctuation 460
 
6.3%
Space Separator 78
 
1.1%
Uppercase Letter 33
 
0.5%
Lowercase Letter 19
 
0.3%
Math Symbol 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 545
 
13.0%
주 381
 
9.1%
보 353
 
8.4%
습 349
 
8.3%
분 322
 
7.7%
초 240
 
5.7%
등 184
 
4.4%
술 124
 
3.0%
악 114
 
2.7%
음 107
 
2.5%
Other values (123) 1481
35.3%
Lowercase Letter
ValueCountFrequency (%)
i 4
21.1%
e 3
15.8%
h 2
10.5%
t 2
10.5%
g 1
 
5.3%
r 1
 
5.3%
c 1
 
5.3%
k 1
 
5.3%
s 1
 
5.3%
a 1
 
5.3%
Other values (2) 2
10.5%
Decimal Number
ValueCountFrequency (%)
0 290
24.0%
1 215
17.8%
5 185
15.3%
2 128
10.6%
6 107
 
8.9%
3 102
 
8.5%
4 91
 
7.5%
9 45
 
3.7%
8 25
 
2.1%
7 18
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
A 27
81.8%
W 2
 
6.1%
B 2
 
6.1%
R 1
 
3.0%
C 1
 
3.0%
Other Punctuation
ValueCountFrequency (%)
, 663
79.9%
? 104
 
12.5%
/ 49
 
5.9%
. 14
 
1.7%
Math Symbol
ValueCountFrequency (%)
~ 1
50.0%
+ 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 460
100.0%
Close Punctuation
ValueCountFrequency (%)
) 460
100.0%
Space Separator
ValueCountFrequency (%)
78
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4200
57.6%
Common 3037
41.7%
Latin 52
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 545
 
13.0%
주 381
 
9.1%
보 353
 
8.4%
습 349
 
8.3%
분 322
 
7.7%
초 240
 
5.7%
등 184
 
4.4%
술 124
 
3.0%
악 114
 
2.7%
음 107
 
2.5%
Other values (123) 1481
35.3%
Common
ValueCountFrequency (%)
, 663
21.8%
( 460
15.1%
) 460
15.1%
0 290
9.5%
1 215
 
7.1%
5 185
 
6.1%
2 128
 
4.2%
6 107
 
3.5%
? 104
 
3.4%
3 102
 
3.4%
Other values (10) 323
10.6%
Latin
ValueCountFrequency (%)
A 27
51.9%
i 4
 
7.7%
e 3
 
5.8%
h 2
 
3.8%
W 2
 
3.8%
t 2
 
3.8%
B 2
 
3.8%
g 1
 
1.9%
r 1
 
1.9%
c 1
 
1.9%
Other values (7) 7
 
13.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4199
57.6%
ASCII 3089
42.4%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 663
21.5%
( 460
14.9%
) 460
14.9%
0 290
9.4%
1 215
 
7.0%
5 185
 
6.0%
2 128
 
4.1%
6 107
 
3.5%
? 104
 
3.4%
3 102
 
3.3%
Other values (27) 375
12.1%
Hangul
ValueCountFrequency (%)
회 545
 
13.0%
주 381
 
9.1%
보 353
 
8.4%
습 349
 
8.3%
분 322
 
7.7%
초 240
 
5.7%
등 184
 
4.4%
술 124
 
3.0%
악 114
 
2.7%
음 107
 
2.5%
Other values (122) 1480
35.2%
Compat Jamo
ValueCountFrequency (%)
ㄱ 1
100.0%

교습과정명
Categorical

IMBALANCE 

Distinct40
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
보습
663 
음악
209 
미술
147 
<NA>
115 
실용외국어(유아/초?중?고)
 
43
Other values (35)
164 

Length

Max length24
Median length2
Mean length3.0059657
Min length2

Unique

Unique17 ?
Unique (%)1.3%

Sample

1st row무용(전통무용,현대무용)
2nd row음악
3rd row무용
4th row음악
5th row경리

Common Values

ValueCountFrequency (%)
보습 663
49.4%
음악 209
 
15.6%
미술 147
 
11.0%
<NA> 115
 
8.6%
실용외국어(유아/초?중?고) 43
 
3.2%
보습?논술 37
 
2.8%
독서실(유아/초?중?고) 21
 
1.6%
무용 15
 
1.1%
기타(소) 15
 
1.1%
실용음악(성악) 10
 
0.7%
Other values (30) 66
 
4.9%

Length

2024-05-11T16:04:06.444659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
보습 663
49.4%
음악 209
 
15.6%
미술 147
 
11.0%
na 115
 
8.6%
실용외국어(유아/초?중?고 43
 
3.2%
보습?논술 37
 
2.8%
독서실(유아/초?중?고 21
 
1.6%
무용 15
 
1.1%
기타(소 15
 
1.1%
실용음악(성악 10
 
0.7%
Other values (30) 66
 
4.9%

정원합계
Real number (ℝ)

ZEROS 

Distinct231
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.35272
Minimum0
Maximum3120
Zeros92
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2024-05-11T16:04:06.618113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114
median40
Q3102
95-th percentile384
Maximum3120
Range3120
Interquartile range (IQR)88

Descriptive statistics

Standard deviation210.89484
Coefficient of variation (CV)2.0604712
Kurtosis57.02853
Mean102.35272
Median Absolute Deviation (MAD)32
Skewness6.244535
Sum137255
Variance44476.633
MonotonicityNot monotonic
2024-05-11T16:04:06.840664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 92
 
6.9%
20 56
 
4.2%
40 48
 
3.6%
6 48
 
3.6%
24 39
 
2.9%
30 37
 
2.8%
9 37
 
2.8%
18 35
 
2.6%
12 34
 
2.5%
10 33
 
2.5%
Other values (221) 882
65.8%
ValueCountFrequency (%)
0 92
6.9%
1 1
 
0.1%
2 4
 
0.3%
3 10
 
0.7%
4 23
 
1.7%
5 17
 
1.3%
6 48
3.6%
7 9
 
0.7%
8 23
 
1.7%
9 37
2.8%
ValueCountFrequency (%)
3120 1
0.1%
2200 1
0.1%
2045 1
0.1%
1805 1
0.1%
1630 1
0.1%
1550 1
0.1%
1504 2
0.1%
1400 1
0.1%
1328 1
0.1%
1208 1
0.1%

일시수용능력인원합계
Real number (ℝ)

ZEROS 

Distinct171
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.217002
Minimum0
Maximum999
Zeros72
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2024-05-11T16:04:07.049157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median24
Q370
95-th percentile150
Maximum999
Range999
Interquartile range (IQR)64

Descriptive statistics

Standard deviation64.15386
Coefficient of variation (CV)1.4508867
Kurtosis57.610877
Mean44.217002
Median Absolute Deviation (MAD)20
Skewness5.5004581
Sum59295
Variance4115.7178
MonotonicityNot monotonic
2024-05-11T16:04:07.249125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 114
 
8.5%
6 101
 
7.5%
4 96
 
7.2%
5 79
 
5.9%
0 72
 
5.4%
7 71
 
5.3%
50 71
 
5.3%
40 58
 
4.3%
70 49
 
3.7%
60 46
 
3.4%
Other values (161) 584
43.5%
ValueCountFrequency (%)
0 72
5.4%
1 2
 
0.1%
2 14
 
1.0%
3 35
 
2.6%
4 96
7.2%
5 79
5.9%
6 101
7.5%
7 71
5.3%
8 41
 
3.1%
9 114
8.5%
ValueCountFrequency (%)
999 1
0.1%
770 1
0.1%
650 1
0.1%
450 1
0.1%
420 1
0.1%
360 1
0.1%
348 1
0.1%
323 1
0.1%
300 1
0.1%
297 1
0.1%

인당수강료내용
Text

MISSING 

Distinct260
Distinct (%)96.7%
Missing1072
Missing (%)79.9%
Memory size10.6 KiB
2024-05-11T16:04:07.547831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length882
Median length240
Mean length129.81041
Min length8

Characters and Unicode

Total characters34919
Distinct characters219
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

Unique252 ?
Unique (%)93.7%

Sample

1st row미술초중급(주2회90분):120000, 미술초중급(주3회70분):140000, 미술초중급(주5회55분):160000, 미술초중급(주1회, 회120분):80000
2nd row실용음악고급(주3회,회50분):170000, 실용음악반주(주3회,회60분):150000, 실용음악고급(주2회,회60분):130000
3rd row피아노초급(주5회,회50분):140000, 피아노중급(주5회,회50분):150000, 피아노고급(주5회,회50분):150000
4th row음악:50000
5th row초급(주5회60분):100000, 중급(주5회60분):110000
ValueCountFrequency (%)
회60분):160000 8
 
0.4%
회60분):48000 8
 
0.4%
중등(주3회 7
 
0.4%
초등수학(주3회 6
 
0.3%
중등수학(주3회 6
 
0.3%
초등(주3회 6
 
0.3%
초등(주2회 6
 
0.3%
회130분):100000 5
 
0.3%
고등(주2회 5
 
0.3%
회60분):170000 5
 
0.3%
Other values (1621) 1793
96.7%
2024-05-11T16:04:08.013939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7035
20.1%
회 2679
 
7.7%
, 2583
 
7.4%
1 1787
 
5.1%
( 1750
 
5.0%
) 1742
 
5.0%
주 1703
 
4.9%
1586
 
4.5%
: 1439
 
4.1%
분 1421
 
4.1%
Other values (209) 11194
32.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14251
40.8%
Other Letter 11148
31.9%
Other Punctuation 4112
 
11.8%
Open Punctuation 1750
 
5.0%
Close Punctuation 1742
 
5.0%
Space Separator 1586
 
4.5%
Uppercase Letter 211
 
0.6%
Lowercase Letter 80
 
0.2%
Dash Punctuation 20
 
0.1%
Math Symbol 18
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 2679
24.0%
주 1703
15.3%
분 1421
12.7%
등 933
 
8.4%
초 548
 
4.9%
중 376
 
3.4%
학 362
 
3.2%
수 322
 
2.9%
어 248
 
2.2%
술 244
 
2.2%
Other values (148) 2312
20.7%
Uppercase Letter
ValueCountFrequency (%)
B 53
25.1%
A 49
23.2%
C 32
15.2%
D 19
 
9.0%
E 12
 
5.7%
G 9
 
4.3%
F 8
 
3.8%
R 5
 
2.4%
P 4
 
1.9%
H 4
 
1.9%
Other values (10) 16
 
7.6%
Lowercase Letter
ValueCountFrequency (%)
e 14
17.5%
n 8
10.0%
l 8
10.0%
i 7
8.8%
t 5
 
6.2%
o 5
 
6.2%
c 5
 
6.2%
k 4
 
5.0%
s 4
 
5.0%
h 4
 
5.0%
Other values (9) 16
20.0%
Decimal Number
ValueCountFrequency (%)
0 7035
49.4%
1 1787
 
12.5%
2 1364
 
9.6%
3 1000
 
7.0%
5 952
 
6.7%
4 733
 
5.1%
6 479
 
3.4%
8 372
 
2.6%
9 279
 
2.0%
7 250
 
1.8%
Other Punctuation
ValueCountFrequency (%)
, 2583
62.8%
: 1439
35.0%
. 66
 
1.6%
/ 23
 
0.6%
; 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 11
61.1%
+ 7
38.9%
Open Punctuation
ValueCountFrequency (%)
( 1750
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1742
100.0%
Space Separator
ValueCountFrequency (%)
1586
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 23480
67.2%
Hangul 11148
31.9%
Latin 291
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 2679
24.0%
주 1703
15.3%
분 1421
12.7%
등 933
 
8.4%
초 548
 
4.9%
중 376
 
3.4%
학 362
 
3.2%
수 322
 
2.9%
어 248
 
2.2%
술 244
 
2.2%
Other values (148) 2312
20.7%
Latin
ValueCountFrequency (%)
B 53
18.2%
A 49
16.8%
C 32
11.0%
D 19
 
6.5%
e 14
 
4.8%
E 12
 
4.1%
G 9
 
3.1%
n 8
 
2.7%
l 8
 
2.7%
F 8
 
2.7%
Other values (29) 79
27.1%
Common
ValueCountFrequency (%)
0 7035
30.0%
, 2583
 
11.0%
1 1787
 
7.6%
( 1750
 
7.5%
) 1742
 
7.4%
1586
 
6.8%
: 1439
 
6.1%
2 1364
 
5.8%
3 1000
 
4.3%
5 952
 
4.1%
Other values (12) 2242
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23771
68.1%
Hangul 11135
31.9%
Compat Jamo 13
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7035
29.6%
, 2583
 
10.9%
1 1787
 
7.5%
( 1750
 
7.4%
) 1742
 
7.3%
1586
 
6.7%
: 1439
 
6.1%
2 1364
 
5.7%
3 1000
 
4.2%
5 952
 
4.0%
Other values (51) 2533
 
10.7%
Hangul
ValueCountFrequency (%)
회 2679
24.1%
주 1703
15.3%
분 1421
12.8%
등 933
 
8.4%
초 548
 
4.9%
중 376
 
3.4%
학 362
 
3.3%
수 322
 
2.9%
어 248
 
2.2%
술 244
 
2.2%
Other values (142) 2299
20.6%
Compat Jamo
ValueCountFrequency (%)
ㄴ 3
23.1%
ㄱ 3
23.1%
ㄷ 3
23.1%
ㅇ 2
15.4%
ㅕ 1
 
7.7%
ㅋ 1
 
7.7%

수강료공개여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
True
1219 
False
122 
ValueCountFrequency (%)
True 1219
90.9%
False 122
 
9.1%
2024-05-11T16:04:08.166098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기숙사학원여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.2%
Missing114
Missing (%)8.5%
Memory size2.7 KiB
False
1225 
True
 
2
(Missing)
 
114
ValueCountFrequency (%)
False 1225
91.3%
True 2
 
0.1%
(Missing) 114
 
8.5%
2024-05-11T16:04:08.271306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

도로명우편번호
Real number (ℝ)

Distinct231
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49620.478
Minimum5201
Maximum134903
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2024-05-11T16:04:08.429051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5201
5-th percentile5222
Q15266
median5329
Q3134812
95-th percentile134861
Maximum134903
Range129702
Interquartile range (IQR)129546

Descriptive statistics

Standard deviation61477.758
Coefficient of variation (CV)1.2389594
Kurtosis-1.5593504
Mean49620.478
Median Absolute Deviation (MAD)93
Skewness0.6655596
Sum66541061
Variance3.7795147 × 109
MonotonicityNot monotonic
2024-05-11T16:04:08.706585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5269 90
 
6.7%
134825 68
 
5.1%
5236 51
 
3.8%
5271 44
 
3.3%
5224 30
 
2.2%
5415 27
 
2.0%
5229 25
 
1.9%
5227 24
 
1.8%
5267 21
 
1.6%
134830 20
 
1.5%
Other values (221) 941
70.2%
ValueCountFrequency (%)
5201 10
0.7%
5208 3
 
0.2%
5210 3
 
0.2%
5211 20
1.5%
5213 1
 
0.1%
5214 4
 
0.3%
5215 2
 
0.1%
5216 1
 
0.1%
5219 3
 
0.2%
5220 7
 
0.5%
ValueCountFrequency (%)
134903 1
 
0.1%
134890 6
 
0.4%
134884 1
 
0.1%
134882 3
 
0.2%
134881 1
 
0.1%
134880 6
 
0.4%
134877 15
1.1%
134876 1
 
0.1%
134874 2
 
0.1%
134870 1
 
0.1%

등록상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
개원
1341 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개원 1341
100.0%

Length

2024-05-11T16:04:08.872200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:04:09.000882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개원 1341
100.0%

등록일자
Real number (ℝ)

Distinct1138
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20129679
Minimum19700312
Maximum20240502
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2024-05-11T16:04:09.158183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19700312
5-th percentile19880908
Q120080807
median20160909
Q320210318
95-th percentile20231108
Maximum20240502
Range540190
Interquartile range (IQR)129511

Descriptive statistics

Standard deviation101502.75
Coefficient of variation (CV)0.0050424427
Kurtosis1.2108074
Mean20129679
Median Absolute Deviation (MAD)59211
Skewness-1.3138458
Sum2.69939 × 1010
Variance1.0302809 × 1010
MonotonicityNot monotonic
2024-05-11T16:04:09.334774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20231030 4
 
0.3%
20240109 4
 
0.3%
20191210 4
 
0.3%
20231222 4
 
0.3%
20050408 4
 
0.3%
20160412 3
 
0.2%
20161201 3
 
0.2%
20100709 3
 
0.2%
20230714 3
 
0.2%
20220208 3
 
0.2%
Other values (1128) 1306
97.4%
ValueCountFrequency (%)
19700312 1
0.1%
19800918 1
0.1%
19820204 1
0.1%
19820209 1
0.1%
19820212 1
0.1%
19820218 1
0.1%
19820325 1
0.1%
19820401 1
0.1%
19820504 1
0.1%
19820518 1
0.1%
ValueCountFrequency (%)
20240502 3
0.2%
20240430 1
 
0.1%
20240429 1
 
0.1%
20240423 1
 
0.1%
20240417 1
 
0.1%
20240416 1
 
0.1%
20240408 1
 
0.1%
20240401 3
0.2%
20240329 2
0.1%
20240326 2
0.1%

휴원시작일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
<NA>
1336 
20110915
 
1
20180206
 
1
20180430
 
1
20191024
 
1

Length

Max length8
Median length4
Mean length4.0149142
Min length4

Unique

Unique5 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1336
99.6%
20110915 1
 
0.1%
20180206 1
 
0.1%
20180430 1
 
0.1%
20191024 1
 
0.1%
20180627 1
 
0.1%

Length

2024-05-11T16:04:09.487993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:04:09.633875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1336
99.6%
20110915 1
 
0.1%
20180206 1
 
0.1%
20180430 1
 
0.1%
20191024 1
 
0.1%
20180627 1
 
0.1%

휴원종료일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)0.5%
Missing120
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean99664366
Minimum20111215
Maximum99991231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2024-05-11T16:04:09.757091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20111215
5-th percentile99991231
Q199991231
median99991231
Q399991231
95-th percentile99991231
Maximum99991231
Range79880016
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5099499.6
Coefficient of variation (CV)0.051166729
Kurtosis240.19162
Mean99664366
Median Absolute Deviation (MAD)0
Skewness-15.54986
Sum1.2169019 × 1011
Variance2.6004896 × 1013
MonotonicityNot monotonic
2024-05-11T16:04:09.872782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
99991231 1216
90.7%
20111215 1
 
0.1%
20180831 1
 
0.1%
20190430 1
 
0.1%
20191230 1
 
0.1%
20180826 1
 
0.1%
(Missing) 120
 
8.9%
ValueCountFrequency (%)
20111215 1
 
0.1%
20180826 1
 
0.1%
20180831 1
 
0.1%
20190430 1
 
0.1%
20191230 1
 
0.1%
99991231 1216
90.7%
ValueCountFrequency (%)
99991231 1216
90.7%
20191230 1
 
0.1%
20190430 1
 
0.1%
20180831 1
 
0.1%
20180826 1
 
0.1%
20111215 1
 
0.1%

개설일자
Real number (ℝ)

Distinct1139
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20130104
Minimum19700312
Maximum20240502
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2024-05-11T16:04:10.028286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19700312
5-th percentile19881123
Q120080909
median20160920
Q320210329
95-th percentile20231108
Maximum20240502
Range540190
Interquartile range (IQR)129420

Descriptive statistics

Standard deviation101122.77
Coefficient of variation (CV)0.0050234598
Kurtosis1.2499234
Mean20130104
Median Absolute Deviation (MAD)59198
Skewness-1.3218255
Sum2.699447 × 1010
Variance1.0225814 × 1010
MonotonicityNot monotonic
2024-05-11T16:04:10.188667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20231030 4
 
0.3%
20190612 4
 
0.3%
20191210 4
 
0.3%
20240109 4
 
0.3%
20110107 3
 
0.2%
20211105 3
 
0.2%
20230224 3
 
0.2%
20231011 3
 
0.2%
20240502 3
 
0.2%
20231201 3
 
0.2%
Other values (1129) 1307
97.5%
ValueCountFrequency (%)
19700312 1
0.1%
19800918 1
0.1%
19820204 1
0.1%
19820209 1
0.1%
19820212 1
0.1%
19820218 1
0.1%
19820325 1
0.1%
19820401 1
0.1%
19820514 1
0.1%
19820518 1
0.1%
ValueCountFrequency (%)
20240502 3
0.2%
20240501 1
 
0.1%
20240430 1
 
0.1%
20240429 1
 
0.1%
20240417 1
 
0.1%
20240408 2
0.1%
20240401 3
0.2%
20240329 2
0.1%
20240326 2
0.1%
20240325 1
 
0.1%

적재일시
Real number (ℝ)

Distinct20
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20232895
Minimum20231018
Maximum20240505
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2024-05-11T16:04:10.332874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20231018
5-th percentile20231018
Q120231018
median20231018
Q320231126
95-th percentile20240407
Maximum20240505
Range9487
Interquartile range (IQR)108

Descriptive statistics

Standard deviation3717.3063
Coefficient of variation (CV)0.00018372587
Kurtosis0.24344799
Mean20232895
Median Absolute Deviation (MAD)0
Skewness1.4970777
Sum2.7132312 × 1010
Variance13818366
MonotonicityNot monotonic
2024-05-11T16:04:10.474105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
20231018 952
71.0%
20240317 69
 
5.1%
20240225 50
 
3.7%
20240428 45
 
3.4%
20240128 35
 
2.6%
20231105 22
 
1.6%
20240324 22
 
1.6%
20240407 19
 
1.4%
20231231 19
 
1.4%
20231206 16
 
1.2%
Other values (10) 92
 
6.9%
ValueCountFrequency (%)
20231018 952
71.0%
20231023 4
 
0.3%
20231029 5
 
0.4%
20231105 22
 
1.6%
20231113 5
 
0.4%
20231119 11
 
0.8%
20231126 12
 
0.9%
20231206 16
 
1.2%
20231210 8
 
0.6%
20231217 6
 
0.4%
ValueCountFrequency (%)
20240505 15
 
1.1%
20240428 45
3.4%
20240407 19
 
1.4%
20240331 14
 
1.0%
20240324 22
 
1.6%
20240317 69
5.1%
20240225 50
3.7%
20240128 35
2.6%
20231231 19
 
1.4%
20231224 12
 
0.9%

Sample

행정구역명학원/교습소학원지정번호학원명도로명주소도로명상세주소분야명교습계열명교습과정목록명교습과정명정원합계일시수용능력인원합계인당수강료내용수강료공개여부기숙사학원여부도로명우편번호등록상태명등록일자휴원시작일자휴원종료일자개설일자적재일시
0강동구학원1000021999수도민속무용학원서울특별시 강동구 양재대로 1371, 4층 403호 (성내동)기예(대)기예(중)<NA>무용(전통무용,현대무용)2040<NA>YN5404개원19700312<NA>999912311970031220231018
1강동구학원1000022089이레음악학원서울특별시 강동구 구천면로 440, 2층 (명일동)예능(대)예능(중)음악,음악3080<NA>YN5292개원19800918<NA>999912311980091820231018
2강동구학원1000022207세종아트무용학원서울특별시 강동구 양재대로 1329, 4층 (성내동)예능(대)예능(중)<NA>무용7080<NA>YN134846개원19820518<NA>999912311982051820231018
3강동구학원1000022231쇼팽음악학원서울특별시 강동구 양재대로 1666, 3층1호 (명일동)예능(대)예능(중)음악,음악8020<NA>YN5266개원19820504<NA>999912311982051420240505
4강동구학원1000022243우성경리학원서울특별시 강동구 천호대로187길 79(길동)기타(대)기타(중)경리,경리20160<NA>NN134880개원19980130<NA>999912311998013020231018
5강동구학원1000022417신명이화음악학원서울특별시 강동구 명일로 263, 2층 (길동)예능(대)예능(중)음악,음악14010<NA>YN5301개원19841212<NA>999912311984121220231018
6강동구학원1000022578명문음악학원서울특별시 강동구 암사길 60(암사동)예능(대)예능(중)음악음악3017<NA>YN134858개원19850311<NA>999912311985031120231210
7강동구학원1000022697삼익이화음악학원서울특별시 강동구 명일로 293, 2층 (길동, 삼익파크)예능(대)예능(중)<NA>음악2360<NA>YN134010개원19840716<NA>999912311985081420231018
8강동구학원1000022932경희무용학원서울특별시 강동구 고덕로27길 28, 상가 310,311,312,313,314호 (암사동,현대홈타운)예능(대)예능(중)무용,무용11460<NA>YN134764개원19860319<NA>999912311986031920231018
9강동구학원1000022978셀라피아노학원서울특별시 강동구 상암로 210, 4층 (명일동)예능(대)예능(중)음악음악40204<NA>YN134830개원19890522<NA>999912311989052220231224
행정구역명학원/교습소학원지정번호학원명도로명주소도로명상세주소분야명교습계열명교습과정목록명교습과정명정원합계일시수용능력인원합계인당수강료내용수강료공개여부기숙사학원여부도로명우편번호등록상태명등록일자휴원시작일자휴원종료일자개설일자적재일시
1331강동구교습소8612뮤엠영어강일에이스점영어교습소서울특별시 강동구 상일로 152, 204호 (강일동, 고덕리엔파크1단지상가동)입시.검정 및 보습보통교과초등영어(주5회 60분)보습126<NA>YN134741개원20050311<NA>999912312005031120231018
1332강동구교습소8963매니폴드수학교습소서울특별시 강동구 동남로71길 32, 201호 (명일동)입시.검정 및 보습보통교과중1,2수학(4주)(주3회,회135분)보습355중1,2수학(4주)(주3회,회135분):300000, 중3수학(주3회,회160분):350000, 고등1수학(주3회,회160분):400000, 고등2문과수학(주3회,회135분):400000, 고등2이과수학(주4회,회135분):450000, 고등3문과수학(주4회,회165분):500000, 고등3이과수학(주4회,회165분):500000YN134825개원20050328<NA>999912312005032820231018
1333강동구교습소9210물감스튜디오미술교습소서울특별시 강동구 고덕로62길 27, 상가 304호 (명일동,명일삼환아파트)예능(대)예능(중)<NA>미술369창의미술초등저학년(주1회,회160분):110000, 창의미술초등저학년(주2회,회110분):150000, 교과미술초등고학년(주1회,회160분):110000, 교과미술초등고학년(주2회,회110분):150000, 미술초등저학년(주2회,회95분):120000, 미술초등고학년(주1회,회145분):90000, 미술초등고학년(주2회,회95분):120000, 미술초등저학년(주2회,회105분):130000, 미술초등고학년(주2회,회105분):130000YN134825개원20050408<NA>999912312005040820231018
1334강동구교습소9211이종구창의수학교습소서울특별시 강동구 구천면로16길 33, 2층일부 (천호동)입시.검정 및 보습보통교과초등수학(주5회60분)보습42초등수학(주5회60분):150000, 중등수학(주3회90분):200000YN134874개원20050408<NA>999912312005081020231018
1335강동구학원9215삼성영어셀레나수학학원서울특별시 강동구 동남로49길 63, 현대아파트상가동 201,207호 (둔촌동)입시.검정 및 보습보통교과보습보습7575<NA>NN134777개원20050408<NA>999912312005041120240428
1336강동구학원9216수리티수학학원서울특별시 강동구 고덕로38길 54, 3층 (명일동)입시.검정 및 보습보통교과보습보습8485<NA>YN134830개원20050408<NA>999912312005041120240128
1337강동구학원9380강동메르센수학학원서울특별시 강동구 상암로3길 68, 2층 (암사동)입시.검정 및 보습보통교과보습,보습7250<NA>YN134877개원20050416<NA>999912312005041620231018
1338강동구학원9788일공일수학보습학원서울특별시 강동구 구천면로 660, 3층 301호 (상일동)입시.검정 및 보습보통교과보습,보습5240<NA>YN5282개원20050516<NA>999912312005051620231018
1339강동구교습소980그림속미술교습소서울특별시 강동구 성안로25길 9, 삼성APT상가 3층 304호 (천호동,삼성아파트)예능(대)예능(중)아동미술1미술289<NA>YN134762개원20020816<NA>999912312002081620231018
1340강동구학원9916강동청담에이프릴어학학원서울특별시 강동구 양재대로 1588, 2,3층 (명일동)국제화외국어실용외국어(유아/초?중?고),실용외국어(유아/초?중?고)120360<NA>YN134830개원20050520<NA>999912312005052520231018