Overview

Dataset statistics

Number of variables22
Number of observations2150
Missing cells4661
Missing cells (%)9.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory388.6 KiB
Average record size in memory185.1 B

Variable types

Categorical6
Numeric9
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
Author양천구
URLhttps://data.seoul.go.kr/dataList/OA-20544/S/1/datasetView.do

Alerts

행정구역명 has constant value ""Constant
등록상태명 has constant value ""Constant
분야명 is highly imbalanced (54.8%)Imbalance
교습계열명 is highly imbalanced (55.6%)Imbalance
교습과정명 is highly imbalanced (50.6%)Imbalance
수강료공개여부 is highly imbalanced (67.8%)Imbalance
기숙사학원여부 is highly imbalanced (96.7%)Imbalance
교습과정목록명 has 685 (31.9%) missing valuesMissing
인당수강료내용 has 1558 (72.5%) missing valuesMissing
기숙사학원여부 has 107 (5.0%) missing valuesMissing
휴원시작일자 has 2133 (99.2%) missing valuesMissing
휴원종료일자 has 178 (8.3%) missing valuesMissing
학원지정번호 has unique valuesUnique
정원합계 has 211 (9.8%) zerosZeros
일시수용능력인원합계 has 36 (1.7%) zerosZeros

Reproduction

Analysis started2024-05-11 05:55:20.190552
Analysis finished2024-05-11 05:55:21.806341
Duration1.62 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정구역명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.9 KiB
양천구
2150 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
양천구 2150
100.0%

Length

2024-05-11T14:55:21.967761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:22.182948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
양천구 2150
100.0%

학원/교습소
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.9 KiB
학원
1116 
교습소
1034 

Length

Max length3
Median length2
Mean length2.4809302
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
학원 1116
51.9%
교습소 1034
48.1%

Length

2024-05-11T14:55:22.375286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:22.592179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학원 1116
51.9%
교습소 1034
48.1%

학원지정번호
Real number (ℝ)

UNIQUE 

Distinct2150
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.26282 × 109
Minimum271
Maximum3.0000503 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.0 KiB
2024-05-11T14:55:22.798715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum271
5-th percentile11186.65
Q11.0000349 × 109
median3.0000285 × 109
Q33.0000387 × 109
95-th percentile3.0000481 × 109
Maximum3.0000503 × 109
Range3.00005 × 109
Interquartile range (IQR)2.0000038 × 109

Descriptive statistics

Standard deviation1.2430458 × 109
Coefficient of variation (CV)0.54933481
Kurtosis-0.53571405
Mean2.26282 × 109
Median Absolute Deviation (MAD)12912.5
Skewness-1.17075
Sum4.865063 × 1012
Variance1.5451629 × 1018
MonotonicityNot monotonic
2024-05-11T14:55:23.058103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1000030138 1
 
< 0.1%
3000037423 1
 
< 0.1%
3000037758 1
 
< 0.1%
3000037729 1
 
< 0.1%
3000037694 1
 
< 0.1%
3000037675 1
 
< 0.1%
3000037621 1
 
< 0.1%
3000037609 1
 
< 0.1%
3000037572 1
 
< 0.1%
3000037535 1
 
< 0.1%
Other values (2140) 2140
99.5%
ValueCountFrequency (%)
271 1
< 0.1%
383 1
< 0.1%
401 1
< 0.1%
425 1
< 0.1%
449 1
< 0.1%
454 1
< 0.1%
464 1
< 0.1%
494 1
< 0.1%
508 1
< 0.1%
511 1
< 0.1%
ValueCountFrequency (%)
3000050315 1
< 0.1%
3000050314 1
< 0.1%
3000050293 1
< 0.1%
3000050292 1
< 0.1%
3000050265 1
< 0.1%
3000050262 1
< 0.1%
3000050256 1
< 0.1%
3000050235 1
< 0.1%
3000050233 1
< 0.1%
3000050225 1
< 0.1%

학원명
Text

Distinct2148
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size16.9 KiB
2024-05-11T14:55:23.479393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length25
Mean length9.315814
Min length3

Characters and Unicode

Total characters20029
Distinct characters683
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

Unique2146 ?
Unique (%)99.8%

Sample

1st row청목연세학원
2nd row초롱큰나무학원
3rd row동인음악학원
4th row진원컴퓨터학원
5th row목동아뜰리에뷰티아카데미미용학원
ValueCountFrequency (%)
english)영어교습소 4
 
0.2%
테스트교습소 2
 
0.1%
페리코드럼학원 2
 
0.1%
academy)학원 2
 
0.1%
씨에스아카데미(cs 2
 
0.1%
헤담(헤아려담다)논술교습소 1
 
< 0.1%
와이(y)수학교습소 1
 
< 0.1%
와이제이(yj)기타교습소 1
 
< 0.1%
연수학교습소 1
 
< 0.1%
혜2수학교습소 1
 
< 0.1%
Other values (2153) 2153
99.2%
2024-05-11T14:55:24.135511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 1666
 
8.3%
원 1140
 
5.7%
소 1080
 
5.4%
습 1073
 
5.4%
교 1061
 
5.3%
어 562
 
2.8%
수 541
 
2.7%
이 457
 
2.3%
영 414
 
2.1%
스 372
 
1.9%
Other values (673) 11663
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19042
95.1%
Uppercase Letter 276
 
1.4%
Decimal Number 246
 
1.2%
Lowercase Letter 210
 
1.0%
Close Punctuation 107
 
0.5%
Open Punctuation 107
 
0.5%
Space Separator 20
 
0.1%
Other Punctuation 13
 
0.1%
Dash Punctuation 6
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 1666
 
8.7%
원 1140
 
6.0%
소 1080
 
5.7%
습 1073
 
5.6%
교 1061
 
5.6%
어 562
 
3.0%
수 541
 
2.8%
이 457
 
2.4%
영 414
 
2.2%
스 372
 
2.0%
Other values (605) 10676
56.1%
Uppercase Letter
ValueCountFrequency (%)
S 28
 
10.1%
E 27
 
9.8%
A 26
 
9.4%
M 22
 
8.0%
T 20
 
7.2%
P 16
 
5.8%
I 15
 
5.4%
L 14
 
5.1%
R 12
 
4.3%
C 12
 
4.3%
Other values (14) 84
30.4%
Lowercase Letter
ValueCountFrequency (%)
e 27
12.9%
a 25
11.9%
i 18
 
8.6%
l 17
 
8.1%
s 17
 
8.1%
n 13
 
6.2%
m 12
 
5.7%
c 11
 
5.2%
r 9
 
4.3%
h 9
 
4.3%
Other values (11) 52
24.8%
Decimal Number
ValueCountFrequency (%)
2 69
28.0%
1 66
26.8%
3 49
19.9%
0 18
 
7.3%
4 15
 
6.1%
5 8
 
3.3%
9 7
 
2.8%
8 6
 
2.4%
6 4
 
1.6%
7 4
 
1.6%
Other Punctuation
ValueCountFrequency (%)
& 4
30.8%
. 3
23.1%
? 2
15.4%
: 1
 
7.7%
' 1
 
7.7%
% 1
 
7.7%
/ 1
 
7.7%
Close Punctuation
ValueCountFrequency (%)
) 107
100.0%
Open Punctuation
ValueCountFrequency (%)
( 107
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Modifier Symbol
ValueCountFrequency (%)
˙ 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19041
95.1%
Common 501
 
2.5%
Latin 486
 
2.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 1666
 
8.7%
원 1140
 
6.0%
소 1080
 
5.7%
습 1073
 
5.6%
교 1061
 
5.6%
어 562
 
3.0%
수 541
 
2.8%
이 457
 
2.4%
영 414
 
2.2%
스 372
 
2.0%
Other values (604) 10675
56.1%
Latin
ValueCountFrequency (%)
S 28
 
5.8%
E 27
 
5.6%
e 27
 
5.6%
A 26
 
5.3%
a 25
 
5.1%
M 22
 
4.5%
T 20
 
4.1%
i 18
 
3.7%
l 17
 
3.5%
s 17
 
3.5%
Other values (35) 259
53.3%
Common
ValueCountFrequency (%)
) 107
21.4%
( 107
21.4%
2 69
13.8%
1 66
13.2%
3 49
9.8%
20
 
4.0%
0 18
 
3.6%
4 15
 
3.0%
5 8
 
1.6%
9 7
 
1.4%
Other values (13) 35
 
7.0%
Han
ValueCountFrequency (%)
數 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19041
95.1%
ASCII 986
 
4.9%
CJK 1
 
< 0.1%
Modifier Letters 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 1666
 
8.7%
원 1140
 
6.0%
소 1080
 
5.7%
습 1073
 
5.6%
교 1061
 
5.6%
어 562
 
3.0%
수 541
 
2.8%
이 457
 
2.4%
영 414
 
2.2%
스 372
 
2.0%
Other values (604) 10675
56.1%
ASCII
ValueCountFrequency (%)
) 107
 
10.9%
( 107
 
10.9%
2 69
 
7.0%
1 66
 
6.7%
3 49
 
5.0%
S 28
 
2.8%
E 27
 
2.7%
e 27
 
2.7%
A 26
 
2.6%
a 25
 
2.5%
Other values (57) 455
46.1%
CJK
ValueCountFrequency (%)
數 1
100.0%
Modifier Letters
ValueCountFrequency (%)
˙ 1
100.0%

도로명주소
Text

Distinct668
Distinct (%)31.1%
Missing0
Missing (%)0.0%
Memory size16.9 KiB
2024-05-11T14:55:24.655837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length18.01814
Min length15

Characters and Unicode

Total characters38739
Distinct characters63
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique386 ?
Unique (%)18.0%

Sample

1st row서울특별시 양천구 월정로 155
2nd row서울특별시 양천구 남부순환로57길 2
3rd row서울특별시 양천구 오목로 69
4th row서울특별시 양천구 화곡로 41
5th row서울특별시 양천구 오목로 193
ValueCountFrequency (%)
서울특별시 2150
25.0%
양천구 2148
25.0%
목동서로 676
 
7.9%
목동동로 386
 
4.5%
오목로 146
 
1.7%
77 145
 
1.7%
349 103
 
1.2%
57 71
 
0.8%
신목로 60
 
0.7%
목동중앙로 56
 
0.7%
Other values (454) 2660
30.9%
2024-05-11T14:55:25.347933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6451
16.7%
서 2863
 
7.4%
양 2168
 
5.6%
로 2154
 
5.6%
특 2150
 
5.5%
별 2150
 
5.5%
시 2150
 
5.5%
구 2150
 
5.5%
울 2150
 
5.5%
천 2148
 
5.5%
Other values (53) 12205
31.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26027
67.2%
Space Separator 6451
 
16.7%
Decimal Number 6109
 
15.8%
Dash Punctuation 148
 
0.4%
Other Punctuation 2
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 2863
11.0%
양 2168
8.3%
로 2154
8.3%
특 2150
8.3%
별 2150
8.3%
시 2150
8.3%
구 2150
8.3%
울 2150
8.3%
천 2148
8.3%
동 1896
7.3%
Other values (38) 4048
15.6%
Decimal Number
ValueCountFrequency (%)
3 1006
16.5%
1 874
14.3%
2 792
13.0%
7 746
12.2%
0 572
9.4%
5 524
8.6%
9 475
7.8%
4 454
7.4%
6 334
 
5.5%
8 332
 
5.4%
Space Separator
ValueCountFrequency (%)
6451
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 148
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26027
67.2%
Common 12712
32.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 2863
11.0%
양 2168
8.3%
로 2154
8.3%
특 2150
8.3%
별 2150
8.3%
시 2150
8.3%
구 2150
8.3%
울 2150
8.3%
천 2148
8.3%
동 1896
7.3%
Other values (38) 4048
15.6%
Common
ValueCountFrequency (%)
6451
50.7%
3 1006
 
7.9%
1 874
 
6.9%
2 792
 
6.2%
7 746
 
5.9%
0 572
 
4.5%
5 524
 
4.1%
9 475
 
3.7%
4 454
 
3.6%
6 334
 
2.6%
Other values (5) 484
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26027
67.2%
ASCII 12712
32.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6451
50.7%
3 1006
 
7.9%
1 874
 
6.9%
2 792
 
6.2%
7 746
 
5.9%
0 572
 
4.5%
5 524
 
4.1%
9 475
 
3.7%
4 454
 
3.6%
6 334
 
2.6%
Other values (5) 484
 
3.8%
Hangul
ValueCountFrequency (%)
서 2863
11.0%
양 2168
8.3%
로 2154
8.3%
특 2150
8.3%
별 2150
8.3%
시 2150
8.3%
구 2150
8.3%
울 2150
8.3%
천 2148
8.3%
동 1896
7.3%
Other values (38) 4048
15.6%

도로명상세주소
Text

Distinct1731
Distinct (%)80.5%
Missing0
Missing (%)0.0%
Memory size16.9 KiB
2024-05-11T14:55:25.726222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length45
Mean length19.766512
Min length1

Characters and Unicode

Total characters42498
Distinct characters291
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

Unique1648 ?
Unique (%)76.7%

Sample

1st row2 3층 (신월동)
2nd row3층일부 (신월동)
3rd row, 2층 (신월동)
4th row3층일부 (신월동)
5th row, 5층 (신정동)
ValueCountFrequency (%)
1663
20.1%
목동 919
 
11.1%
신정동 755
 
9.1%
일부 233
 
2.8%
신월동 227
 
2.7%
2층 215
 
2.6%
3층 169
 
2.0%
현대월드타워 146
 
1.8%
상가동 100
 
1.2%
센트럴프라자 95
 
1.1%
Other values (1300) 3769
45.5%
2024-05-11T14:55:26.331595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6168
 
14.5%
, 3042
 
7.2%
동 3001
 
7.1%
( 2176
 
5.1%
) 2176
 
5.1%
호 1744
 
4.1%
0 1574
 
3.7%
목 1513
 
3.6%
신 1497
 
3.5%
2 1456
 
3.4%
Other values (281) 18151
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21260
50.0%
Decimal Number 7363
 
17.3%
Space Separator 6168
 
14.5%
Other Punctuation 3048
 
7.2%
Open Punctuation 2176
 
5.1%
Close Punctuation 2176
 
5.1%
Uppercase Letter 128
 
0.3%
Math Symbol 74
 
0.2%
Dash Punctuation 63
 
0.1%
Lowercase Letter 32
 
0.1%
Other values (2) 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3001
 
14.1%
호 1744
 
8.2%
목 1513
 
7.1%
신 1497
 
7.0%
정 927
 
4.4%
층 921
 
4.3%
가 698
 
3.3%
지 637
 
3.0%
트 620
 
2.9%
부 540
 
2.5%
Other values (233) 9162
43.1%
Uppercase Letter
ValueCountFrequency (%)
B 35
27.3%
A 27
21.1%
S 10
 
7.8%
C 9
 
7.0%
K 8
 
6.2%
I 6
 
4.7%
J 5
 
3.9%
M 4
 
3.1%
W 4
 
3.1%
T 4
 
3.1%
Other values (9) 16
12.5%
Decimal Number
ValueCountFrequency (%)
0 1574
21.4%
2 1456
19.8%
1 1408
19.1%
3 886
12.0%
4 663
9.0%
5 436
 
5.9%
6 302
 
4.1%
7 247
 
3.4%
8 207
 
2.8%
9 184
 
2.5%
Lowercase Letter
ValueCountFrequency (%)
l 21
65.6%
a 2
 
6.2%
f 2
 
6.2%
e 2
 
6.2%
h 1
 
3.1%
r 1
 
3.1%
t 1
 
3.1%
c 1
 
3.1%
i 1
 
3.1%
Other Punctuation
ValueCountFrequency (%)
, 3042
99.8%
. 3
 
0.1%
& 3
 
0.1%
Space Separator
ValueCountFrequency (%)
6168
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2176
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2176
100.0%
Math Symbol
ValueCountFrequency (%)
~ 74
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 9
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21261
50.0%
Common 21068
49.6%
Latin 169
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3001
 
14.1%
호 1744
 
8.2%
목 1513
 
7.1%
신 1497
 
7.0%
정 927
 
4.4%
층 921
 
4.3%
가 698
 
3.3%
지 637
 
3.0%
트 620
 
2.9%
부 540
 
2.5%
Other values (234) 9163
43.1%
Latin
ValueCountFrequency (%)
B 35
20.7%
A 27
16.0%
l 21
12.4%
S 10
 
5.9%
Ⅱ 9
 
5.3%
C 9
 
5.3%
K 8
 
4.7%
I 6
 
3.6%
J 5
 
3.0%
M 4
 
2.4%
Other values (19) 35
20.7%
Common
ValueCountFrequency (%)
6168
29.3%
, 3042
14.4%
( 2176
 
10.3%
) 2176
 
10.3%
0 1574
 
7.5%
2 1456
 
6.9%
1 1408
 
6.7%
3 886
 
4.2%
4 663
 
3.1%
5 436
 
2.1%
Other values (8) 1083
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21260
50.0%
ASCII 21228
50.0%
Number Forms 9
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6168
29.1%
, 3042
14.3%
( 2176
 
10.3%
) 2176
 
10.3%
0 1574
 
7.4%
2 1456
 
6.9%
1 1408
 
6.6%
3 886
 
4.2%
4 663
 
3.1%
5 436
 
2.1%
Other values (36) 1243
 
5.9%
Hangul
ValueCountFrequency (%)
동 3001
 
14.1%
호 1744
 
8.2%
목 1513
 
7.1%
신 1497
 
7.0%
정 927
 
4.4%
층 921
 
4.3%
가 698
 
3.3%
지 637
 
3.0%
트 620
 
2.9%
부 540
 
2.5%
Other values (233) 9162
43.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 9
100.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

분야명
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size16.9 KiB
입시.검정 및 보습
1428 
예능(대)
476 
국제화
 
86
독서실
 
51
기타(대)
 
50
Other values (5)
 
59

Length

Max length10
Median length10
Mean length8.1860465
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row입시.검정 및 보습
2nd row종합(대)
3rd row예능(대)
4th row기타(대)
5th row직업기술

Common Values

ValueCountFrequency (%)
입시.검정 및 보습 1428
66.4%
예능(대) 476
 
22.1%
국제화 86
 
4.0%
독서실 51
 
2.4%
기타(대) 50
 
2.3%
종합(대) 32
 
1.5%
기예(대) 13
 
0.6%
직업기술 12
 
0.6%
정보 1
 
< 0.1%
<NA> 1
 
< 0.1%

Length

2024-05-11T14:55:26.567486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:26.787768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
입시.검정 1428
28.5%
및 1428
28.5%
보습 1428
28.5%
예능(대 476
 
9.5%
국제화 86
 
1.7%
독서실 51
 
1.0%
기타(대 50
 
1.0%
종합(대 32
 
0.6%
기예(대 13
 
0.3%
직업기술 12
 
0.2%
Other values (2) 2
 
< 0.1%

교습계열명
Categorical

IMBALANCE 

Distinct16
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size16.9 KiB
보통교과
1302 
예능(중)
437 
<NA>
208 
외국어
 
73
독서
 
50
Other values (11)
 
80

Length

Max length7
Median length4
Mean length4.1544186
Min length2

Unique

Unique6 ?
Unique (%)0.3%

Sample

1st row보통교과
2nd row<NA>
3rd row예능(중)
4th row기타(중)
5th row<NA>

Common Values

ValueCountFrequency (%)
보통교과 1302
60.6%
예능(중) 437
 
20.3%
<NA> 208
 
9.7%
외국어 73
 
3.4%
독서 50
 
2.3%
기타(중) 48
 
2.2%
기예(중) 12
 
0.6%
진학지도 8
 
0.4%
산업응용기술 4
 
0.2%
국제 2
 
0.1%
Other values (6) 6
 
0.3%

Length

2024-05-11T14:55:26.981007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
보통교과 1302
60.6%
예능(중 437
 
20.3%
na 208
 
9.7%
외국어 73
 
3.4%
독서 50
 
2.3%
기타(중 48
 
2.2%
기예(중 12
 
0.6%
진학지도 8
 
0.4%
산업응용기술 4
 
0.2%
국제 2
 
0.1%
Other values (6) 6
 
0.3%

교습과정목록명
Text

MISSING 

Distinct400
Distinct (%)27.3%
Missing685
Missing (%)31.9%
Memory size16.9 KiB
2024-05-11T14:55:27.286765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length5.268942
Min length2

Characters and Unicode

Total characters7719
Distinct characters196
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique292 ?
Unique (%)19.9%

Sample

1st row보습,
2nd row보습,미술,
3rd row컴퓨터(소),
4th row이?미용,
5th row음악
ValueCountFrequency (%)
보습 350
23.8%
보습?논술 214
 
14.6%
음악 50
 
3.4%
실용외국어(유아/초?중?고 44
 
3.0%
초등수학 38
 
2.6%
독서실(유아/초?중?고 34
 
2.3%
미술 33
 
2.2%
초등수학1 22
 
1.5%
초등수학a 19
 
1.3%
중등수학 19
 
1.3%
Other values (378) 647
44.0%
2024-05-11T14:55:27.799214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
보 588
 
7.6%
습 588
 
7.6%
, 529
 
6.9%
초 462
 
6.0%
등 435
 
5.6%
? 416
 
5.4%
술 370
 
4.8%
( 284
 
3.7%
) 284
 
3.7%
논 262
 
3.4%
Other values (186) 3501
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5695
73.8%
Other Punctuation 1044
 
13.5%
Open Punctuation 284
 
3.7%
Close Punctuation 284
 
3.7%
Decimal Number 227
 
2.9%
Uppercase Letter 124
 
1.6%
Lowercase Letter 43
 
0.6%
Space Separator 5
 
0.1%
Math Symbol 4
 
0.1%
Other Number 3
 
< 0.1%
Other values (3) 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 588
 
10.3%
습 588
 
10.3%
초 462
 
8.1%
등 435
 
7.6%
술 370
 
6.5%
논 262
 
4.6%
중 234
 
4.1%
학 222
 
3.9%
어 199
 
3.5%
고 176
 
3.1%
Other values (141) 2159
37.9%
Lowercase Letter
ValueCountFrequency (%)
e 8
18.6%
h 5
11.6%
i 5
11.6%
t 5
11.6%
l 4
9.3%
w 3
 
7.0%
o 3
 
7.0%
n 3
 
7.0%
a 2
 
4.7%
d 1
 
2.3%
Other values (4) 4
9.3%
Uppercase Letter
ValueCountFrequency (%)
A 102
82.3%
P 4
 
3.2%
W 3
 
2.4%
B 3
 
2.4%
C 3
 
2.4%
D 2
 
1.6%
S 2
 
1.6%
H 2
 
1.6%
E 2
 
1.6%
R 1
 
0.8%
Decimal Number
ValueCountFrequency (%)
1 181
79.7%
2 19
 
8.4%
3 12
 
5.3%
4 7
 
3.1%
6 5
 
2.2%
5 1
 
0.4%
8 1
 
0.4%
7 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 529
50.7%
? 416
39.8%
/ 94
 
9.0%
. 4
 
0.4%
: 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 284
100.0%
Close Punctuation
ValueCountFrequency (%)
) 284
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Other Number
ValueCountFrequency (%)
① 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5695
73.8%
Common 1855
 
24.0%
Latin 169
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 588
 
10.3%
습 588
 
10.3%
초 462
 
8.1%
등 435
 
7.6%
술 370
 
6.5%
논 262
 
4.6%
중 234
 
4.1%
학 222
 
3.9%
어 199
 
3.5%
고 176
 
3.1%
Other values (141) 2159
37.9%
Latin
ValueCountFrequency (%)
A 102
60.4%
e 8
 
4.7%
h 5
 
3.0%
i 5
 
3.0%
t 5
 
3.0%
P 4
 
2.4%
l 4
 
2.4%
W 3
 
1.8%
w 3
 
1.8%
o 3
 
1.8%
Other values (15) 27
 
16.0%
Common
ValueCountFrequency (%)
, 529
28.5%
? 416
22.4%
( 284
15.3%
) 284
15.3%
1 181
 
9.8%
/ 94
 
5.1%
2 19
 
1.0%
3 12
 
0.6%
4 7
 
0.4%
5
 
0.3%
Other values (10) 24
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5695
73.8%
ASCII 2019
 
26.2%
Enclosed Alphanum 3
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
보 588
 
10.3%
습 588
 
10.3%
초 462
 
8.1%
등 435
 
7.6%
술 370
 
6.5%
논 262
 
4.6%
중 234
 
4.1%
학 222
 
3.9%
어 199
 
3.5%
고 176
 
3.1%
Other values (141) 2159
37.9%
ASCII
ValueCountFrequency (%)
, 529
26.2%
? 416
20.6%
( 284
14.1%
) 284
14.1%
1 181
 
9.0%
A 102
 
5.1%
/ 94
 
4.7%
2 19
 
0.9%
3 12
 
0.6%
e 8
 
0.4%
Other values (33) 90
 
4.5%
Enclosed Alphanum
ValueCountFrequency (%)
① 3
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 2
100.0%

교습과정명
Categorical

IMBALANCE 

Distinct40
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size16.9 KiB
보습
983 
보습?논술
316 
음악
245 
<NA>
208 
미술
163 
Other values (35)
235 

Length

Max length24
Median length2
Mean length3.4586047
Min length2

Unique

Unique17 ?
Unique (%)0.8%

Sample

1st row보습
2nd row<NA>
3rd row음악
4th row컴퓨터(소)
5th row<NA>

Common Values

ValueCountFrequency (%)
보습 983
45.7%
보습?논술 316
 
14.7%
음악 245
 
11.4%
<NA> 208
 
9.7%
미술 163
 
7.6%
실용외국어(유아/초?중?고) 72
 
3.3%
독서실(유아/초?중?고) 46
 
2.1%
무용 22
 
1.0%
기타(소) 13
 
0.6%
컴퓨터(소) 12
 
0.6%
Other values (30) 70
 
3.3%

Length

2024-05-11T14:55:28.053820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
보습 983
45.7%
보습?논술 316
 
14.7%
음악 245
 
11.4%
na 208
 
9.7%
미술 163
 
7.6%
실용외국어(유아/초?중?고 72
 
3.3%
독서실(유아/초?중?고 46
 
2.1%
무용 22
 
1.0%
기타(소 13
 
0.6%
컴퓨터(소 12
 
0.6%
Other values (30) 70
 
3.3%

정원합계
Real number (ℝ)

ZEROS 

Distinct314
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean181.9
Minimum0
Maximum29868
Zeros211
Zeros (%)9.8%
Negative0
Negative (%)0.0%
Memory size19.0 KiB
2024-05-11T14:55:28.247242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112
median33
Q396
95-th percentile468.25
Maximum29868
Range29868
Interquartile range (IQR)84

Descriptive statistics

Standard deviation1115.7862
Coefficient of variation (CV)6.134064
Kurtosis366.23231
Mean181.9
Median Absolute Deviation (MAD)27
Skewness17.479007
Sum391085
Variance1244978.9
MonotonicityNot monotonic
2024-05-11T14:55:28.461640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 211
 
9.8%
12 102
 
4.7%
30 62
 
2.9%
20 60
 
2.8%
24 59
 
2.7%
15 58
 
2.7%
18 53
 
2.5%
8 52
 
2.4%
6 51
 
2.4%
40 50
 
2.3%
Other values (304) 1392
64.7%
ValueCountFrequency (%)
0 211
9.8%
1 2
 
0.1%
2 6
 
0.3%
3 13
 
0.6%
4 28
 
1.3%
5 15
 
0.7%
6 51
 
2.4%
7 11
 
0.5%
8 52
 
2.4%
9 47
 
2.2%
ValueCountFrequency (%)
29868 1
< 0.1%
21660 1
< 0.1%
17907 1
< 0.1%
17328 1
< 0.1%
12002 1
< 0.1%
10260 1
< 0.1%
10000 1
< 0.1%
8722 1
< 0.1%
8642 1
< 0.1%
5535 1
< 0.1%

일시수용능력인원합계
Real number (ℝ)

ZEROS 

Distinct230
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.728372
Minimum0
Maximum1744
Zeros36
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size19.0 KiB
2024-05-11T14:55:28.701827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q15
median10
Q369
95-th percentile164
Maximum1744
Range1744
Interquartile range (IQR)64

Descriptive statistics

Standard deviation85.895067
Coefficient of variation (CV)1.7996647
Kurtosis141.65822
Mean47.728372
Median Absolute Deviation (MAD)10
Skewness9.1277074
Sum102616
Variance7377.9625
MonotonicityNot monotonic
2024-05-11T14:55:29.261013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 200
 
9.3%
4 199
 
9.3%
9 162
 
7.5%
6 128
 
6.0%
3 124
 
5.8%
7 93
 
4.3%
8 76
 
3.5%
2 52
 
2.4%
40 45
 
2.1%
50 43
 
2.0%
Other values (220) 1028
47.8%
ValueCountFrequency (%)
0 36
 
1.7%
1 1
 
< 0.1%
2 52
 
2.4%
3 124
5.8%
4 199
9.3%
5 200
9.3%
6 128
6.0%
7 93
4.3%
8 76
 
3.5%
9 162
7.5%
ValueCountFrequency (%)
1744 1
< 0.1%
1600 1
< 0.1%
1000 2
0.1%
902 1
< 0.1%
780 1
< 0.1%
528 1
< 0.1%
480 1
< 0.1%
479 1
< 0.1%
457 1
< 0.1%
434 1
< 0.1%

인당수강료내용
Text

MISSING 

Distinct579
Distinct (%)97.8%
Missing1558
Missing (%)72.5%
Memory size16.9 KiB
2024-05-11T14:55:29.626864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length702
Median length212
Mean length90.201014
Min length8

Characters and Unicode

Total characters53399
Distinct characters293
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique571 ?
Unique (%)96.5%

Sample

1st rowAndante2(초중고):80000, Andante3(초중고):100000, Andante4(초중고):120000, Andante5(초중고):140000, Moderato2(초중고):90000, Moderato3(초중고):110000, Moderato4(초중고):130000, Moderato5(초중고):150000, Allegro2(초중고):100000, Allegro3(초중고):120000, Allegro4(초중고):140000, Allegro5(초중고):160000, Vivace2(초중고):100000, Vivace3(초중고):130000, Vivace4(초중고):150000
2nd row피아노(초급):130000, 피아노(중급):140000, 피아노(고급):150000
3rd row미술일반:110000, 미술입시:140000, 미술1:50000, 미술2:100000, 미술3:150000, 초등미술(일반):120000, 중등미술(입시):150000
4th row초등미술A:80000, 초등미술B:130000, 초등미술C:150000, 초등미술D:170000, 초등미술E:190000
5th row피아노바이엘(초등):130000, 피아노체르니100(초중등):140000, 피아노체르니30(초중등):150000, 피아노체르니40(초중등):160000, 바이올린(초등):70000
ValueCountFrequency (%)
중등영어:400000 12
 
0.3%
고등수학:500000 11
 
0.3%
초등과학1:47000 7
 
0.2%
중등수학:400000 7
 
0.2%
고등영어:400000 7
 
0.2%
고등영어:450000 7
 
0.2%
중등수학:300000 7
 
0.2%
중등수학1:400000 7
 
0.2%
초등과학2:57000 7
 
0.2%
고등수학2:400000 6
 
0.2%
Other values (3202) 3697
97.9%
2024-05-11T14:55:30.336034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 14785
27.7%
: 3662
 
6.9%
3239
 
6.1%
, 3135
 
5.9%
등 2392
 
4.5%
1 2225
 
4.2%
2 1682
 
3.1%
초 1414
 
2.6%
3 1240
 
2.3%
중 1144
 
2.1%
Other values (283) 18481
34.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23684
44.4%
Other Letter 16179
30.3%
Other Punctuation 6819
 
12.8%
Space Separator 3239
 
6.1%
Uppercase Letter 1047
 
2.0%
Open Punctuation 894
 
1.7%
Close Punctuation 894
 
1.7%
Lowercase Letter 307
 
0.6%
Dash Punctuation 162
 
0.3%
Connector Punctuation 71
 
0.1%
Other values (3) 103
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
등 2392
14.8%
초 1414
 
8.7%
중 1144
 
7.1%
학 1133
 
7.0%
수 987
 
6.1%
고 966
 
6.0%
어 716
 
4.4%
술 695
 
4.3%
영 582
 
3.6%
논 419
 
2.6%
Other values (211) 5731
35.4%
Uppercase Letter
ValueCountFrequency (%)
A 323
30.9%
B 290
27.7%
C 148
14.1%
D 81
 
7.7%
E 45
 
4.3%
F 30
 
2.9%
H 24
 
2.3%
G 24
 
2.3%
P 13
 
1.2%
S 13
 
1.2%
Other values (11) 56
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
e 45
14.7%
n 30
9.8%
i 29
9.4%
a 28
9.1%
l 22
 
7.2%
r 21
 
6.8%
t 20
 
6.5%
o 20
 
6.5%
d 16
 
5.2%
c 15
 
4.9%
Other values (11) 61
19.9%
Decimal Number
ValueCountFrequency (%)
0 14785
62.4%
1 2225
 
9.4%
2 1682
 
7.1%
3 1240
 
5.2%
5 1119
 
4.7%
4 930
 
3.9%
8 545
 
2.3%
6 491
 
2.1%
7 391
 
1.7%
9 276
 
1.2%
Other Punctuation
ValueCountFrequency (%)
: 3662
53.7%
, 3135
46.0%
? 9
 
0.1%
/ 5
 
0.1%
. 5
 
0.1%
& 3
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 14
48.3%
Ⅱ 11
37.9%
Ⅲ 3
 
10.3%
Ⅳ 1
 
3.4%
Other Number
ValueCountFrequency (%)
③ 22
40.7%
② 16
29.6%
① 16
29.6%
Math Symbol
ValueCountFrequency (%)
~ 17
85.0%
+ 3
 
15.0%
Space Separator
ValueCountFrequency (%)
3239
100.0%
Open Punctuation
ValueCountFrequency (%)
( 894
100.0%
Close Punctuation
ValueCountFrequency (%)
) 894
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 162
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 71
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 35837
67.1%
Hangul 16179
30.3%
Latin 1383
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
등 2392
14.8%
초 1414
 
8.7%
중 1144
 
7.1%
학 1133
 
7.0%
수 987
 
6.1%
고 966
 
6.0%
어 716
 
4.4%
술 695
 
4.3%
영 582
 
3.6%
논 419
 
2.6%
Other values (211) 5731
35.4%
Latin
ValueCountFrequency (%)
A 323
23.4%
B 290
21.0%
C 148
10.7%
D 81
 
5.9%
e 45
 
3.3%
E 45
 
3.3%
F 30
 
2.2%
n 30
 
2.2%
i 29
 
2.1%
a 28
 
2.0%
Other values (36) 334
24.2%
Common
ValueCountFrequency (%)
0 14785
41.3%
: 3662
 
10.2%
3239
 
9.0%
, 3135
 
8.7%
1 2225
 
6.2%
2 1682
 
4.7%
3 1240
 
3.5%
5 1119
 
3.1%
4 930
 
2.6%
( 894
 
2.5%
Other values (16) 2926
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37137
69.5%
Hangul 16179
30.3%
Enclosed Alphanum 54
 
0.1%
Number Forms 29
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 14785
39.8%
: 3662
 
9.9%
3239
 
8.7%
, 3135
 
8.4%
1 2225
 
6.0%
2 1682
 
4.5%
3 1240
 
3.3%
5 1119
 
3.0%
4 930
 
2.5%
( 894
 
2.4%
Other values (55) 4226
 
11.4%
Hangul
ValueCountFrequency (%)
등 2392
14.8%
초 1414
 
8.7%
중 1144
 
7.1%
학 1133
 
7.0%
수 987
 
6.1%
고 966
 
6.0%
어 716
 
4.4%
술 695
 
4.3%
영 582
 
3.6%
논 419
 
2.6%
Other values (211) 5731
35.4%
Enclosed Alphanum
ValueCountFrequency (%)
③ 22
40.7%
② 16
29.6%
① 16
29.6%
Number Forms
ValueCountFrequency (%)
Ⅰ 14
48.3%
Ⅱ 11
37.9%
Ⅲ 3
 
10.3%
Ⅳ 1
 
3.4%

수강료공개여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
True
2024 
False
 
126
ValueCountFrequency (%)
True 2024
94.1%
False 126
 
5.9%
2024-05-11T14:55:30.535403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기숙사학원여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing107
Missing (%)5.0%
Memory size4.3 KiB
False
2036 
True
 
7
(Missing)
 
107
ValueCountFrequency (%)
False 2036
94.7%
True 7
 
0.3%
(Missing) 107
 
5.0%
2024-05-11T14:55:30.680486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

도로명우편번호
Real number (ℝ)

Distinct256
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50425.111
Minimum7635
Maximum158887
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.0 KiB
2024-05-11T14:55:30.864732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7635
5-th percentile7944
Q17983
median8018
Q3158708
95-th percentile158863.55
Maximum158887
Range151252
Interquartile range (IQR)150725

Descriptive statistics

Standard deviation67795.906
Coefficient of variation (CV)1.344487
Kurtosis-1.0543179
Mean50425.111
Median Absolute Deviation (MAD)57
Skewness0.97295677
Sum1.0841399 × 108
Variance4.5962849 × 109
MonotonicityNot monotonic
2024-05-11T14:55:31.095576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7983 286
 
13.3%
8095 76
 
3.5%
8093 68
 
3.2%
7988 53
 
2.5%
7984 47
 
2.2%
158070 45
 
2.1%
7995 44
 
2.0%
8011 38
 
1.8%
8010 36
 
1.7%
8014 36
 
1.7%
Other values (246) 1421
66.1%
ValueCountFrequency (%)
7635 1
 
< 0.1%
7639 1
 
< 0.1%
7900 7
0.3%
7902 9
0.4%
7903 10
0.5%
7904 2
 
0.1%
7905 1
 
< 0.1%
7906 1
 
< 0.1%
7909 2
 
0.1%
7910 2
 
0.1%
ValueCountFrequency (%)
158887 2
 
0.1%
158885 29
1.3%
158884 9
 
0.4%
158883 1
 
< 0.1%
158881 1
 
< 0.1%
158879 6
 
0.3%
158878 8
 
0.4%
158877 32
1.5%
158876 7
 
0.3%
158875 2
 
0.1%

등록상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.9 KiB
개원
2150 

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 2150
100.0%

Length

2024-05-11T14:55:31.340383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:31.520994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개원 2150
100.0%

등록일자
Real number (ℝ)

Distinct1619
Distinct (%)75.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20146736
Minimum19821117
Maximum20240430
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.0 KiB
2024-05-11T14:55:31.717480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19821117
5-th percentile20010424
Q120100414
median20170308
Q320210323
95-th percentile20231027
Maximum20240430
Range419313
Interquartile range (IQR)109909

Descriptive statistics

Standard deviation78116.742
Coefficient of variation (CV)0.0038773896
Kurtosis1.5692456
Mean20146736
Median Absolute Deviation (MAD)49889
Skewness-1.2227391
Sum4.3315481 × 1010
Variance6.1022254 × 109
MonotonicityNot monotonic
2024-05-11T14:55:31.956053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20231109 6
 
0.3%
20240102 5
 
0.2%
20161109 5
 
0.2%
20230713 5
 
0.2%
20141223 5
 
0.2%
20150710 4
 
0.2%
20180314 4
 
0.2%
20220117 4
 
0.2%
20190408 4
 
0.2%
20240307 4
 
0.2%
Other values (1609) 2104
97.9%
ValueCountFrequency (%)
19821117 1
< 0.1%
19821130 1
< 0.1%
19841026 1
< 0.1%
19850122 1
< 0.1%
19851011 1
< 0.1%
19860619 1
< 0.1%
19860910 1
< 0.1%
19861112 1
< 0.1%
19870814 1
< 0.1%
19870905 1
< 0.1%
ValueCountFrequency (%)
20240430 2
0.1%
20240429 2
0.1%
20240423 1
 
< 0.1%
20240422 1
 
< 0.1%
20240417 2
0.1%
20240415 1
 
< 0.1%
20240408 2
0.1%
20240405 1
 
< 0.1%
20240402 3
0.1%
20240328 1
 
< 0.1%

휴원시작일자
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing2133
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean18970214
Minimum0
Maximum20221007
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size19.0 KiB
2024-05-11T14:55:32.168197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16096406
Q120121226
median20150925
Q320180521
95-th percentile20205096
Maximum20221007
Range20221007
Interquartile range (IQR)59295

Descriptive statistics

Standard deviation4888603.1
Coefficient of variation (CV)0.25769889
Kurtosis16.998485
Mean18970214
Median Absolute Deviation (MAD)29699
Skewness-4.1228451
Sum3.2249364 × 108
Variance2.389844 × 1013
MonotonicityNot monotonic
2024-05-11T14:55:32.429804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
20131226 1
 
< 0.1%
20181019 1
 
< 0.1%
20150925 1
 
< 0.1%
20201118 1
 
< 0.1%
20181115 1
 
< 0.1%
20221007 1
 
< 0.1%
20180521 1
 
< 0.1%
20160502 1
 
< 0.1%
20121221 1
 
< 0.1%
20121226 1
 
< 0.1%
Other values (7) 7
 
0.3%
(Missing) 2133
99.2%
ValueCountFrequency (%)
0 1
< 0.1%
20120507 1
< 0.1%
20120823 1
< 0.1%
20121221 1
< 0.1%
20121226 1
< 0.1%
20131226 1
< 0.1%
20140306 1
< 0.1%
20141110 1
< 0.1%
20150925 1
< 0.1%
20160315 1
< 0.1%
ValueCountFrequency (%)
20221007 1
< 0.1%
20201118 1
< 0.1%
20181115 1
< 0.1%
20181019 1
< 0.1%
20180521 1
< 0.1%
20160701 1
< 0.1%
20160502 1
< 0.1%
20160315 1
< 0.1%
20150925 1
< 0.1%
20141110 1
< 0.1%

휴원종료일자
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)0.9%
Missing178
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean99343534
Minimum20121231
Maximum99999999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.0 KiB
2024-05-11T14:55:32.712173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20121231
5-th percentile99991231
Q199991231
median99991231
Q399991231
95-th percentile99991231
Maximum99999999
Range79878768
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7163242.1
Coefficient of variation (CV)0.072105771
Kurtosis118.56169
Mean99343534
Median Absolute Deviation (MAD)0
Skewness-10.974581
Sum1.9590545 × 1011
Variance5.1312037 × 1013
MonotonicityNot monotonic
2024-05-11T14:55:32.919793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
99991231 1955
90.9%
20141231 1
 
< 0.1%
20160508 1
 
< 0.1%
20191018 1
 
< 0.1%
20151001 1
 
< 0.1%
20210228 1
 
< 0.1%
20191115 1
 
< 0.1%
20231007 1
 
< 0.1%
20181130 1
 
< 0.1%
20150305 1
 
< 0.1%
Other values (8) 8
 
0.4%
(Missing) 178
 
8.3%
ValueCountFrequency (%)
20121231 1
< 0.1%
20130101 1
< 0.1%
20130406 1
< 0.1%
20130530 1
< 0.1%
20141116 1
< 0.1%
20141231 1
< 0.1%
20150305 1
< 0.1%
20151001 1
< 0.1%
20160508 1
< 0.1%
20160831 1
< 0.1%
ValueCountFrequency (%)
99999999 1
 
< 0.1%
99991231 1955
90.9%
20231007 1
 
< 0.1%
20210228 1
 
< 0.1%
20191115 1
 
< 0.1%
20191018 1
 
< 0.1%
20181130 1
 
< 0.1%
20170315 1
 
< 0.1%
20160831 1
 
< 0.1%
20160508 1
 
< 0.1%

개설일자
Real number (ℝ)

Distinct1623
Distinct (%)75.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20146951
Minimum19821117
Maximum20240430
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.0 KiB
2024-05-11T14:55:33.184988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19821117
5-th percentile20010515
Q120100423
median20170308
Q320210323
95-th percentile20231027
Maximum20240430
Range419313
Interquartile range (IQR)109900

Descriptive statistics

Standard deviation77820.2
Coefficient of variation (CV)0.0038626292
Kurtosis1.6127947
Mean20146951
Median Absolute Deviation (MAD)49852.5
Skewness-1.2272322
Sum4.3315944 × 1010
Variance6.0559835 × 109
MonotonicityNot monotonic
2024-05-11T14:55:33.457557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20231109 6
 
0.3%
20161109 5
 
0.2%
20240102 5
 
0.2%
20230713 5
 
0.2%
20180314 4
 
0.2%
20240222 4
 
0.2%
20231214 4
 
0.2%
20180604 4
 
0.2%
20231211 4
 
0.2%
20200128 4
 
0.2%
Other values (1613) 2105
97.9%
ValueCountFrequency (%)
19821117 1
< 0.1%
19821130 1
< 0.1%
19841002 1
< 0.1%
19850122 1
< 0.1%
19851011 1
< 0.1%
19860619 1
< 0.1%
19860910 1
< 0.1%
19861112 1
< 0.1%
19870814 1
< 0.1%
19870905 1
< 0.1%
ValueCountFrequency (%)
20240430 2
0.1%
20240429 2
0.1%
20240423 1
 
< 0.1%
20240422 1
 
< 0.1%
20240417 2
0.1%
20240415 1
 
< 0.1%
20240408 2
0.1%
20240405 1
 
< 0.1%
20240402 3
0.1%
20240328 1
 
< 0.1%

적재일시
Real number (ℝ)

Distinct20
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20233480
Minimum20231018
Maximum20240505
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.0 KiB
2024-05-11T14:55:33.722905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20231018
5-th percentile20231018
Q120231018
median20231018
Q320240128
95-th percentile20240428
Maximum20240505
Range9487
Interquartile range (IQR)9110

Descriptive statistics

Standard deviation4086.5296
Coefficient of variation (CV)0.0002019687
Kurtosis-0.85264463
Mean20233480
Median Absolute Deviation (MAD)0
Skewness1.070796
Sum4.3501982 × 1010
Variance16699724
MonotonicityNot monotonic
2024-05-11T14:55:33.944233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
20231018 1425
66.3%
20240317 130
 
6.0%
20240128 116
 
5.4%
20240225 102
 
4.7%
20240428 95
 
4.4%
20240407 42
 
2.0%
20240505 28
 
1.3%
20240331 28
 
1.3%
20240324 27
 
1.3%
20231217 26
 
1.2%
Other values (10) 131
 
6.1%
ValueCountFrequency (%)
20231018 1425
66.3%
20231023 6
 
0.3%
20231029 10
 
0.5%
20231105 6
 
0.3%
20231113 24
 
1.1%
20231119 14
 
0.7%
20231126 10
 
0.5%
20231206 16
 
0.7%
20231210 22
 
1.0%
20231217 26
 
1.2%
ValueCountFrequency (%)
20240505 28
 
1.3%
20240428 95
4.4%
20240407 42
 
2.0%
20240331 28
 
1.3%
20240324 27
 
1.3%
20240317 130
6.0%
20240225 102
4.7%
20240128 116
5.4%
20231231 11
 
0.5%
20231224 12
 
0.6%

Sample

행정구역명학원/교습소학원지정번호학원명도로명주소도로명상세주소분야명교습계열명교습과정목록명교습과정명정원합계일시수용능력인원합계인당수강료내용수강료공개여부기숙사학원여부도로명우편번호등록상태명등록일자휴원시작일자휴원종료일자개설일자적재일시
0양천구학원1000030138청목연세학원서울특별시 양천구 월정로 1552 3층 (신월동)입시.검정 및 보습보통교과보습,보습17050<NA>YN158827개원19821130<NA>999912311982113020231018
1양천구학원1000030363초롱큰나무학원서울특별시 양천구 남부순환로57길 23층일부 (신월동)종합(대)<NA>보습,미술,<NA>158127<NA>YN158828개원19841026<NA>999912311984100220231018
2양천구학원1000030454동인음악학원서울특별시 양천구 오목로 69, 2층 (신월동)예능(대)예능(중)<NA>음악11063<NA>YN7936개원19850122<NA>999912311985012220231018
3양천구학원1000030471진원컴퓨터학원서울특별시 양천구 화곡로 413층일부 (신월동)기타(대)기타(중)컴퓨터(소),컴퓨터(소)150120<NA>YN158822개원19851011<NA>999912311985101120231018
4양천구학원1000030545목동아뜰리에뷰티아카데미미용학원서울특별시 양천구 오목로 193, 5층 (신정동)직업기술<NA>이?미용,<NA>51060<NA>YN7944개원19861112<NA>999912311986111220231206
5양천구학원1000030565야국피아노음악학원서울특별시 양천구 중앙로29길 115, 2층 (신월동)예능(대)예능(중)음악음악7080<NA>YN8062개원19860619<NA>999912311986061920240505
6양천구학원1000030624목동최상학원서울특별시 양천구 중앙로32길 55, 502호 (신정동)입시.검정 및 보습보통교과보습,보습5624<NA>YN8086개원19870814<NA>999912311987081420231018
7양천구학원1000030688연세속셈학원서울특별시 양천구 중앙로 269, 3층 (신정동)기타(대)기타(중)속셈,속셈36120<NA>YN158864개원19870905<NA>999912311987090520231018
8양천구학원1000030806현대정보컴퓨터학원서울특별시 양천구 오목로 136, 2층 일부 (신정동)직업기술컴퓨터<NA>컴퓨터(정보처리,통신기기,인터넷,소프트웨어)27060<NA>YN8019개원19880307<NA>999912311988030720231018
9양천구학원1000030854아름다운음악학원서울특별시 양천구 월정로29길 9-1, 1 (신월동)예능(대)예능(중)<NA>음악10040<NA>YN7922개원19880311<NA>999912311988031120231018
행정구역명학원/교습소학원지정번호학원명도로명주소도로명상세주소분야명교습계열명교습과정목록명교습과정명정원합계일시수용능력인원합계인당수강료내용수강료공개여부기숙사학원여부도로명우편번호등록상태명등록일자휴원시작일자휴원종료일자개설일자적재일시
2140양천구교습소8426아인뮤직음악교습소서울특별시 양천구 신정로7길 60-5동일프라자 401호 (신정동)예능(대)예능(중)피아노기초(주2회)음악509피아노기초(주2회):90000, 피아노기초(주3회):110000, 피아노기초(주4회):120000, 피아노기초(주5회):130000, 피아노중급(주2회):100000, 피아노중급(주3회):120000, 피아노중급(주4회):130000, 피아노중급(주5회):140000, 피아노고급(주2회):100000, 피아노고급(주2회):120000YN158865개원20050228<NA>999912312005022820231018
2141양천구학원9051목동아이비스학원서울특별시 양천구 목동동로 50, 목동신시가지아파트상가에이동 201호~203호 (신정동,목동신시가지아파트12단지)입시.검정 및 보습보통교과보습,보습12064<NA>YN158772개원20050328<NA>999912312005032820231018
2142양천구학원9420그림나무미술학원서울특별시 양천구 목동중앙서로8길 103층일부 (목동)예능(대)예능(중)미술,미술663<NA>YN158819개원20040211<NA>999912312004021120231018
2143양천구학원9530(주)진인사보습학원서울특별시 양천구 신목로5길 133층일부 (신정동)입시.검정 및 보습보통교과보습,보습4571<NA>YN158852개원20050419<NA>999912312005041920231018
2144양천구학원9835특강학원서울특별시 양천구 신정로13길 38, 202호, 203호 (신정동, 신정이편한세상아파트)입시.검정 및 보습보통교과보습,보습15063<NA>YN8080개원20050503<NA>999912312005050320231018
2145양천구학원9877목동아이비리그학원서울특별시 양천구 목동중앙본로7길 37-15, 3층 (목동)입시.검정 및 보습보통교과보습,보습84141<NA>YN158815개원2005050920181019201910182005050920231018
2146양천구교습소9887책으로꿈꾸는아이들국어교습소서울특별시 양천구 목동서로 100신시가지아파트 제상가동 206호 (목동)입시.검정 및 보습보통교과초등독서보습49<NA>NN158875개원20050308<NA>999912312005030820231018
2147양천구교습소9888제니퍼잉글리쉬영어교습소서울특별시 양천구 목동중앙남로13길 1, 2층 (목동)입시.검정 및 보습보통교과초등영어보습459초등영어:190000, 중등영어1:190000, 중등엉어2:190000, 고등영어1:190000, 고등영어2:190000YN7957개원20050309<NA>999912312005030920231018
2148양천구학원9929청담어학원서울특별시 양천구 목동동로 233-1, 3층 (목동, 현대드림타워)종합(대)<NA>보습,실용외국어(유아/초?중?고),진학상담지도<NA>288780<NA>YN7995개원20050516<NA>999912312005051620240317
2149양천구교습소9992목동쇼팽음악교습소서울특별시 양천구 목동중앙남로9길 71층 일부 (목동)예능(대)예능(중)피아노,관현악고급A(입시)음악405피아노,관현악고급A(입시):140000, 피아노,관현악고급B(입시):150000, 피아노,관현악고급C(입시):160000, 피아노,관현악고급D(입시):170000, 피아노,관현악고급E(입시):180000, 피아노,관현악고급F(입시):200000, 음악악전일반A(일반):80000, 음악악전일반B(일반):90000YN158814개원20050401<NA>999912312005040120231018