Overview

Dataset statistics

Number of variables22
Number of observations735
Missing cells1641
Missing cells (%)10.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory132.9 KiB
Average record size in memory185.2 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
Author서대문구
URLhttps://data.seoul.go.kr/dataList/OA-20542/S/1/datasetView.do

Alerts

행정구역명 has constant value ""Constant
등록상태명 has constant value ""Constant
수강료공개여부 is highly imbalanced (50.8%)Imbalance
기숙사학원여부 is highly imbalanced (97.1%)Imbalance
교습과정목록명 has 212 (28.8%) missing valuesMissing
인당수강료내용 has 602 (81.9%) missing valuesMissing
기숙사학원여부 has 42 (5.7%) missing valuesMissing
휴원시작일자 has 728 (99.0%) missing valuesMissing
휴원종료일자 has 52 (7.1%) missing valuesMissing
일시수용능력인원합계 is highly skewed (γ1 = 23.98417141)Skewed
학원지정번호 has unique valuesUnique
학원명 has unique valuesUnique
정원합계 has 28 (3.8%) zerosZeros
일시수용능력인원합계 has 11 (1.5%) zerosZeros

Reproduction

Analysis started2024-04-29 20:36:28.207672
Analysis finished2024-04-29 20:36:29.122280
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정구역명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
서대문구
735 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서대문구 735
100.0%

Length

2024-04-30T05:36:29.187529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:36:29.267676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서대문구 735
100.0%

학원/교습소
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
학원
390 
교습소
345 

Length

Max length3
Median length2
Mean length2.4693878
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
학원 390
53.1%
교습소 345
46.9%

Length

2024-04-30T05:36:29.360963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:36:29.439374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학원 390
53.1%
교습소 345
46.9%

학원지정번호
Real number (ℝ)

UNIQUE 

Distinct735
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1945863 × 109
Minimum327
Maximum3.0000501 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2024-04-30T05:36:29.543432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327
5-th percentile12530.4
Q11.0000085 × 109
median3.0000277 × 109
Q33.0000391 × 109
95-th percentile3.0000462 × 109
Maximum3.0000501 × 109
Range3.0000498 × 109
Interquartile range (IQR)2.0000306 × 109

Descriptive statistics

Standard deviation1.2490818 × 109
Coefficient of variation (CV)0.56916505
Kurtosis-0.78785843
Mean2.1945863 × 109
Median Absolute Deviation (MAD)14191
Skewness-1.032455
Sum1.6130209 × 1012
Variance1.5602054 × 1018
MonotonicityNot monotonic
2024-04-30T05:36:29.666395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1000004028 1
 
0.1%
3000037586 1
 
0.1%
3000037050 1
 
0.1%
3000037081 1
 
0.1%
3000037100 1
 
0.1%
3000037155 1
 
0.1%
3000037202 1
 
0.1%
3000037260 1
 
0.1%
3000037450 1
 
0.1%
3000037451 1
 
0.1%
Other values (725) 725
98.6%
ValueCountFrequency (%)
327 1
0.1%
504 1
0.1%
523 1
0.1%
1456 1
0.1%
1813 1
0.1%
2313 1
0.1%
3316 1
0.1%
4171 1
0.1%
4514 1
0.1%
5040 1
0.1%
ValueCountFrequency (%)
3000050148 1
0.1%
3000050146 1
0.1%
3000049018 1
0.1%
3000048983 1
0.1%
3000048981 1
0.1%
3000048950 1
0.1%
3000048863 1
0.1%
3000048789 1
0.1%
3000048758 1
0.1%
3000048748 1
0.1%

학원명
Text

UNIQUE 

Distinct735
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2024-04-30T05:36:29.878785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length21
Mean length9.2517007
Min length3

Characters and Unicode

Total characters6800
Distinct characters484
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

Unique735 ?
Unique (%)100.0%

Sample

1st rowNE능률홍제영어학원
2nd row비상아이비츠학원
3rd row폴인피아노음악학원
4th row연희피아노학원
5th row인성보습학원
ValueCountFrequency (%)
ne능률홍제영어학원 1
 
0.1%
리드인독서교습소 1
 
0.1%
케이씨티학원 1
 
0.1%
유준형화학연구소원격학원 1
 
0.1%
이지수학학원 1
 
0.1%
신촌와이비엠어학원 1
 
0.1%
비오엘잉글리시(vol 1
 
0.1%
english)원격학원 1
 
0.1%
도야단청문양연구소학원 1
 
0.1%
오디세이국어교습소 1
 
0.1%
Other values (726) 726
98.6%
2024-04-30T05:36:30.244205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 526
 
7.7%
원 393
 
5.8%
소 372
 
5.5%
교 360
 
5.3%
습 352
 
5.2%
어 205
 
3.0%
영 158
 
2.3%
이 153
 
2.2%
수 151
 
2.2%
아 149
 
2.2%
Other values (474) 3981
58.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6565
96.5%
Lowercase Letter 84
 
1.2%
Uppercase Letter 76
 
1.1%
Close Punctuation 24
 
0.4%
Open Punctuation 24
 
0.4%
Decimal Number 20
 
0.3%
Other Punctuation 5
 
0.1%
Dash Punctuation 1
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 526
 
8.0%
원 393
 
6.0%
소 372
 
5.7%
교 360
 
5.5%
습 352
 
5.4%
어 205
 
3.1%
영 158
 
2.4%
이 153
 
2.3%
수 151
 
2.3%
아 149
 
2.3%
Other values (424) 3746
57.1%
Uppercase Letter
ValueCountFrequency (%)
C 8
 
10.5%
M 7
 
9.2%
E 6
 
7.9%
D 6
 
7.9%
T 5
 
6.6%
S 5
 
6.6%
A 4
 
5.3%
B 4
 
5.3%
I 4
 
5.3%
O 4
 
5.3%
Other values (11) 23
30.3%
Lowercase Letter
ValueCountFrequency (%)
i 10
11.9%
o 9
10.7%
e 9
10.7%
l 8
9.5%
s 8
9.5%
n 7
8.3%
u 6
7.1%
t 5
 
6.0%
a 4
 
4.8%
p 4
 
4.8%
Other values (6) 14
16.7%
Decimal Number
ValueCountFrequency (%)
2 8
40.0%
1 6
30.0%
3 4
20.0%
4 1
 
5.0%
0 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
& 2
40.0%
. 1
20.0%
# 1
20.0%
? 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6565
96.5%
Latin 160
 
2.4%
Common 75
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 526
 
8.0%
원 393
 
6.0%
소 372
 
5.7%
교 360
 
5.5%
습 352
 
5.4%
어 205
 
3.1%
영 158
 
2.4%
이 153
 
2.3%
수 151
 
2.3%
아 149
 
2.3%
Other values (424) 3746
57.1%
Latin
ValueCountFrequency (%)
i 10
 
6.2%
o 9
 
5.6%
e 9
 
5.6%
l 8
 
5.0%
C 8
 
5.0%
s 8
 
5.0%
M 7
 
4.4%
n 7
 
4.4%
E 6
 
3.8%
u 6
 
3.8%
Other values (27) 82
51.2%
Common
ValueCountFrequency (%)
) 24
32.0%
( 24
32.0%
2 8
 
10.7%
1 6
 
8.0%
3 4
 
5.3%
& 2
 
2.7%
4 1
 
1.3%
- 1
 
1.3%
1
 
1.3%
. 1
 
1.3%
Other values (3) 3
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6565
96.5%
ASCII 235
 
3.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 526
 
8.0%
원 393
 
6.0%
소 372
 
5.7%
교 360
 
5.5%
습 352
 
5.4%
어 205
 
3.1%
영 158
 
2.4%
이 153
 
2.3%
수 151
 
2.3%
아 149
 
2.3%
Other values (424) 3746
57.1%
ASCII
ValueCountFrequency (%)
) 24
 
10.2%
( 24
 
10.2%
i 10
 
4.3%
o 9
 
3.8%
e 9
 
3.8%
2 8
 
3.4%
l 8
 
3.4%
C 8
 
3.4%
s 8
 
3.4%
M 7
 
3.0%
Other values (40) 120
51.1%

도로명주소
Text

Distinct443
Distinct (%)60.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2024-04-30T05:36:30.519172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length32
Mean length18.952381
Min length14

Characters and Unicode

Total characters13930
Distinct characters98
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

Unique311 ?
Unique (%)42.3%

Sample

1st row서울특별시 서대문구 세무서길 83
2nd row서울특별시 서대문구 증가로10길 60-22
3rd row서울특별시 서대문구 세무서길 31
4th row서울특별시 서대문구 연희로 174
5th row서울특별시 서대문구 모래내로 379
ValueCountFrequency (%)
서울특별시 735
25.0%
서대문구 733
24.9%
가좌로 46
 
1.6%
응암로 46
 
1.6%
연희로 45
 
1.5%
통일로 44
 
1.5%
증가로 43
 
1.5%
신촌로 41
 
1.4%
세검정로1길 34
 
1.2%
거북골로 27
 
0.9%
Other values (365) 1146
39.0%
2024-04-30T05:36:30.912007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2205
15.8%
서 1495
 
10.7%
대 772
 
5.5%
문 770
 
5.5%
울 767
 
5.5%
구 736
 
5.3%
특 735
 
5.3%
별 735
 
5.3%
시 735
 
5.3%
로 649
 
4.7%
Other values (88) 4331
31.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9512
68.3%
Space Separator 2205
 
15.8%
Decimal Number 2138
 
15.3%
Dash Punctuation 72
 
0.5%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1495
15.7%
대 772
8.1%
문 770
8.1%
울 767
8.1%
구 736
7.7%
특 735
7.7%
별 735
7.7%
시 735
7.7%
로 649
 
6.8%
길 309
 
3.2%
Other values (73) 1809
19.0%
Decimal Number
ValueCountFrequency (%)
1 489
22.9%
3 286
13.4%
5 245
11.5%
2 233
10.9%
4 213
10.0%
0 177
 
8.3%
6 145
 
6.8%
9 129
 
6.0%
8 111
 
5.2%
7 110
 
5.1%
Space Separator
ValueCountFrequency (%)
2205
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9512
68.3%
Common 4418
31.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1495
15.7%
대 772
8.1%
문 770
8.1%
울 767
8.1%
구 736
7.7%
특 735
7.7%
별 735
7.7%
시 735
7.7%
로 649
 
6.8%
길 309
 
3.2%
Other values (73) 1809
19.0%
Common
ValueCountFrequency (%)
2205
49.9%
1 489
 
11.1%
3 286
 
6.5%
5 245
 
5.5%
2 233
 
5.3%
4 213
 
4.8%
0 177
 
4.0%
6 145
 
3.3%
9 129
 
2.9%
8 111
 
2.5%
Other values (5) 185
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9512
68.3%
ASCII 4418
31.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2205
49.9%
1 489
 
11.1%
3 286
 
6.5%
5 245
 
5.5%
2 233
 
5.3%
4 213
 
4.8%
0 177
 
4.0%
6 145
 
3.3%
9 129
 
2.9%
8 111
 
2.5%
Other values (5) 185
 
4.2%
Hangul
ValueCountFrequency (%)
서 1495
15.7%
대 772
8.1%
문 770
8.1%
울 767
8.1%
구 736
7.7%
특 735
7.7%
별 735
7.7%
시 735
7.7%
로 649
 
6.8%
길 309
 
3.2%
Other values (73) 1809
19.0%

도로명상세주소
Text

Distinct588
Distinct (%)80.5%
Missing5
Missing (%)0.7%
Memory size5.9 KiB
2024-04-30T05:36:31.125749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length40
Mean length17.419178
Min length2

Characters and Unicode

Total characters12716
Distinct characters247
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique537 ?
Unique (%)73.6%

Sample

1st row2층 (홍제동)
2nd row, 2층 (남가좌동)
3rd row2층 (홍제동)
4th row2층 (연희동)
5th row2층 (홍제동)
ValueCountFrequency (%)
532
20.2%
2층 195
 
7.4%
북가좌동 117
 
4.4%
3층 109
 
4.1%
홍제동 106
 
4.0%
홍은동 103
 
3.9%
남가좌동 93
 
3.5%
1층 65
 
2.5%
연희동 61
 
2.3%
4층 57
 
2.2%
Other values (525) 1200
45.5%
2024-04-30T05:36:31.506361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1915
 
15.1%
, 921
 
7.2%
동 832
 
6.5%
( 797
 
6.3%
) 797
 
6.3%
층 674
 
5.3%
2 461
 
3.6%
가 393
 
3.1%
1 357
 
2.8%
호 323
 
2.5%
Other values (237) 5246
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6301
49.6%
Space Separator 1915
 
15.1%
Decimal Number 1753
 
13.8%
Other Punctuation 930
 
7.3%
Open Punctuation 797
 
6.3%
Close Punctuation 797
 
6.3%
Uppercase Letter 171
 
1.3%
Dash Punctuation 39
 
0.3%
Math Symbol 7
 
0.1%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 832
 
13.2%
층 674
 
10.7%
가 393
 
6.2%
호 323
 
5.1%
좌 283
 
4.5%
홍 280
 
4.4%
북 197
 
3.1%
부 181
 
2.9%
아 171
 
2.7%
일 163
 
2.6%
Other values (202) 2804
44.5%
Uppercase Letter
ValueCountFrequency (%)
M 37
21.6%
C 37
21.6%
D 36
21.1%
B 27
15.8%
A 15
8.8%
G 3
 
1.8%
O 2
 
1.2%
K 2
 
1.2%
V 2
 
1.2%
E 2
 
1.2%
Other values (5) 8
 
4.7%
Decimal Number
ValueCountFrequency (%)
2 461
26.3%
1 357
20.4%
3 280
16.0%
0 254
14.5%
4 149
 
8.5%
5 101
 
5.8%
6 68
 
3.9%
7 42
 
2.4%
8 25
 
1.4%
9 16
 
0.9%
Other Punctuation
ValueCountFrequency (%)
, 921
99.0%
. 6
 
0.6%
@ 2
 
0.2%
? 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1915
100.0%
Open Punctuation
ValueCountFrequency (%)
( 797
100.0%
Close Punctuation
ValueCountFrequency (%)
) 797
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6301
49.6%
Common 6238
49.1%
Latin 177
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 832
 
13.2%
층 674
 
10.7%
가 393
 
6.2%
호 323
 
5.1%
좌 283
 
4.5%
홍 280
 
4.4%
북 197
 
3.1%
부 181
 
2.9%
아 171
 
2.7%
일 163
 
2.6%
Other values (202) 2804
44.5%
Common
ValueCountFrequency (%)
1915
30.7%
, 921
14.8%
( 797
12.8%
) 797
12.8%
2 461
 
7.4%
1 357
 
5.7%
3 280
 
4.5%
0 254
 
4.1%
4 149
 
2.4%
5 101
 
1.6%
Other values (9) 206
 
3.3%
Latin
ValueCountFrequency (%)
M 37
20.9%
C 37
20.9%
D 36
20.3%
B 27
15.3%
A 15
8.5%
e 6
 
3.4%
G 3
 
1.7%
O 2
 
1.1%
K 2
 
1.1%
V 2
 
1.1%
Other values (6) 10
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6415
50.4%
Hangul 6301
49.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1915
29.9%
, 921
14.4%
( 797
12.4%
) 797
12.4%
2 461
 
7.2%
1 357
 
5.6%
3 280
 
4.4%
0 254
 
4.0%
4 149
 
2.3%
5 101
 
1.6%
Other values (25) 383
 
6.0%
Hangul
ValueCountFrequency (%)
동 832
 
13.2%
층 674
 
10.7%
가 393
 
6.2%
호 323
 
5.1%
좌 283
 
4.5%
홍 280
 
4.4%
북 197
 
3.1%
부 181
 
2.9%
아 171
 
2.7%
일 163
 
2.6%
Other values (202) 2804
44.5%

분야명
Categorical

Distinct9
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
입시.검정 및 보습
407 
예능(대)
206 
국제화
 
35
독서실
 
20
기예(대)
 
19
Other values (4)
48 

Length

Max length10
Median length10
Mean length7.6204082
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
입시.검정 및 보습 407
55.4%
예능(대) 206
28.0%
국제화 35
 
4.8%
독서실 20
 
2.7%
기예(대) 19
 
2.6%
직업기술 17
 
2.3%
기타(대) 16
 
2.2%
인문사회(대) 9
 
1.2%
종합(대) 6
 
0.8%

Length

2024-04-30T05:36:31.637474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:36:31.747249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
입시.검정 407
26.3%
및 407
26.3%
보습 407
26.3%
예능(대 206
13.3%
국제화 35
 
2.3%
독서실 20
 
1.3%
기예(대 19
 
1.2%
직업기술 17
 
1.1%
기타(대 16
 
1.0%
인문사회(대 9
 
0.6%

교습계열명
Categorical

Distinct17
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
보통교과
363 
예능(중)
194 
<NA>
70 
외국어
 
23
독서
 
20
Other values (12)
65 

Length

Max length7
Median length4
Mean length4.2598639
Min length2

Unique

Unique5 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
보통교과 363
49.4%
예능(중) 194
26.4%
<NA> 70
 
9.5%
외국어 23
 
3.1%
독서 20
 
2.7%
기타(중) 16
 
2.2%
기예(중) 15
 
2.0%
인문사회(중) 9
 
1.2%
국제 8
 
1.1%
산업응용기술 6
 
0.8%
Other values (7) 11
 
1.5%

Length

2024-04-30T05:36:31.875193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
보통교과 363
49.4%
예능(중 194
26.4%
na 70
 
9.5%
외국어 23
 
3.1%
독서 20
 
2.7%
기타(중 16
 
2.2%
기예(중 15
 
2.0%
인문사회(중 9
 
1.2%
국제 8
 
1.1%
산업응용기술 6
 
0.8%
Other values (7) 11
 
1.5%

교습과정목록명
Text

MISSING 

Distinct176
Distinct (%)33.7%
Missing212
Missing (%)28.8%
Memory size5.9 KiB
2024-04-30T05:36:32.011815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length16
Mean length4.9636711
Min length2

Characters and Unicode

Total characters2596
Distinct characters158
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique127 ?
Unique (%)24.3%

Sample

1st row보습
2nd row보습,
3rd row음악
4th row음악
5th row보습,
ValueCountFrequency (%)
보습 162
29.9%
음악 28
 
5.2%
미술 17
 
3.1%
실용외국어(유아/초?중?고 16
 
3.0%
초등수학 15
 
2.8%
초급 14
 
2.6%
보습?논술 11
 
2.0%
독서실(일반인 10
 
1.8%
피아노초급 10
 
1.8%
초등영어 10
 
1.8%
Other values (158) 248
45.8%
2024-04-30T05:36:32.270776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 222
 
8.6%
초 188
 
7.2%
보 175
 
6.7%
습 174
 
6.7%
) 105
 
4.0%
( 105
 
4.0%
등 103
 
4.0%
급 100
 
3.9%
아 74
 
2.9%
어 71
 
2.7%
Other values (148) 1279
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1933
74.5%
Other Punctuation 312
 
12.0%
Close Punctuation 105
 
4.0%
Open Punctuation 105
 
4.0%
Decimal Number 73
 
2.8%
Uppercase Letter 36
 
1.4%
Space Separator 18
 
0.7%
Lowercase Letter 6
 
0.2%
Dash Punctuation 5
 
0.2%
Math Symbol 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
초 188
 
9.7%
보 175
 
9.1%
습 174
 
9.0%
등 103
 
5.3%
급 100
 
5.2%
아 74
 
3.8%
어 71
 
3.7%
술 62
 
3.2%
고 60
 
3.1%
학 59
 
3.1%
Other values (125) 867
44.9%
Decimal Number
ValueCountFrequency (%)
1 52
71.2%
2 8
 
11.0%
3 5
 
6.8%
4 3
 
4.1%
5 2
 
2.7%
6 2
 
2.7%
0 1
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
A 33
91.7%
L 1
 
2.8%
P 1
 
2.8%
B 1
 
2.8%
Lowercase Letter
ValueCountFrequency (%)
e 3
50.0%
l 1
 
16.7%
v 1
 
16.7%
r 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
, 222
71.2%
? 63
 
20.2%
/ 27
 
8.7%
Close Punctuation
ValueCountFrequency (%)
) 105
100.0%
Open Punctuation
ValueCountFrequency (%)
( 105
100.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1933
74.5%
Common 621
 
23.9%
Latin 42
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
초 188
 
9.7%
보 175
 
9.1%
습 174
 
9.0%
등 103
 
5.3%
급 100
 
5.2%
아 74
 
3.8%
어 71
 
3.7%
술 62
 
3.2%
고 60
 
3.1%
학 59
 
3.1%
Other values (125) 867
44.9%
Common
ValueCountFrequency (%)
, 222
35.7%
) 105
16.9%
( 105
16.9%
? 63
 
10.1%
1 52
 
8.4%
/ 27
 
4.3%
18
 
2.9%
2 8
 
1.3%
3 5
 
0.8%
- 5
 
0.8%
Other values (5) 11
 
1.8%
Latin
ValueCountFrequency (%)
A 33
78.6%
e 3
 
7.1%
l 1
 
2.4%
v 1
 
2.4%
L 1
 
2.4%
r 1
 
2.4%
P 1
 
2.4%
B 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1933
74.5%
ASCII 663
 
25.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 222
33.5%
) 105
15.8%
( 105
15.8%
? 63
 
9.5%
1 52
 
7.8%
A 33
 
5.0%
/ 27
 
4.1%
18
 
2.7%
2 8
 
1.2%
3 5
 
0.8%
Other values (13) 25
 
3.8%
Hangul
ValueCountFrequency (%)
초 188
 
9.7%
보 175
 
9.1%
습 174
 
9.0%
등 103
 
5.3%
급 100
 
5.2%
아 74
 
3.8%
어 71
 
3.7%
술 62
 
3.2%
고 60
 
3.1%
학 59
 
3.1%
Other values (125) 867
44.9%

교습과정명
Categorical

Distinct41
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
보습
335 
음악
114 
<NA>
70 
미술
67 
보습?논술
 
27
Other values (36)
122 

Length

Max length24
Median length2
Mean length3.1469388
Min length2

Unique

Unique18 ?
Unique (%)2.4%

Sample

1st row보습
2nd row보습
3rd row음악
4th row음악
5th row보습

Common Values

ValueCountFrequency (%)
보습 335
45.6%
음악 114
 
15.5%
<NA> 70
 
9.5%
미술 67
 
9.1%
보습?논술 27
 
3.7%
실용외국어(유아/초?중?고) 21
 
2.9%
무용 14
 
1.9%
독서실(일반인) 12
 
1.6%
독서실(유아/초?중?고) 8
 
1.1%
어학(성인) 7
 
1.0%
Other values (31) 60
 
8.2%

Length

2024-04-30T05:36:32.415828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
보습 335
45.6%
음악 114
 
15.5%
na 70
 
9.5%
미술 67
 
9.1%
보습?논술 27
 
3.7%
실용외국어(유아/초?중?고 21
 
2.9%
무용 14
 
1.9%
독서실(일반인 12
 
1.6%
독서실(유아/초?중?고 8
 
1.1%
어학(성인 7
 
1.0%
Other values (31) 60
 
8.2%

정원합계
Real number (ℝ)

ZEROS 

Distinct186
Distinct (%)25.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean147.80136
Minimum0
Maximum7656
Zeros28
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2024-04-30T05:36:32.533008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q118
median38
Q3109
95-th percentile568.6
Maximum7656
Range7656
Interquartile range (IQR)91

Descriptive statistics

Standard deviation513.98904
Coefficient of variation (CV)3.4775663
Kurtosis129.53481
Mean147.80136
Median Absolute Deviation (MAD)26
Skewness10.370965
Sum108634
Variance264184.73
MonotonicityNot monotonic
2024-04-30T05:36:32.660268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18 32
 
4.4%
24 29
 
3.9%
30 29
 
3.9%
0 28
 
3.8%
12 26
 
3.5%
20 20
 
2.7%
15 18
 
2.4%
36 17
 
2.3%
60 16
 
2.2%
9 16
 
2.2%
Other values (176) 504
68.6%
ValueCountFrequency (%)
0 28
3.8%
1 1
 
0.1%
2 4
 
0.5%
3 5
 
0.7%
4 11
 
1.5%
5 6
 
0.8%
6 6
 
0.8%
7 3
 
0.4%
8 12
1.6%
9 16
2.2%
ValueCountFrequency (%)
7656 1
0.1%
6993 1
0.1%
5994 1
0.1%
2778 2
0.3%
2740 1
0.1%
2360 1
0.1%
1998 1
0.1%
1560 1
0.1%
1280 1
0.1%
1274 1
0.1%

일시수용능력인원합계
Real number (ℝ)

SKEWED  ZEROS 

Distinct130
Distinct (%)17.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.333333
Minimum0
Maximum9999
Zeros11
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2024-04-30T05:36:32.799521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q16
median27
Q371
95-th percentile163.3
Maximum9999
Range9999
Interquartile range (IQR)65

Descriptive statistics

Standard deviation383.049
Coefficient of variation (CV)5.6888466
Kurtosis618.23975
Mean67.333333
Median Absolute Deviation (MAD)23
Skewness23.984171
Sum49490
Variance146726.54
MonotonicityNot monotonic
2024-04-30T05:36:32.919157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 83
 
11.3%
5 64
 
8.7%
6 54
 
7.3%
4 44
 
6.0%
50 43
 
5.9%
8 38
 
5.2%
7 35
 
4.8%
70 25
 
3.4%
40 22
 
3.0%
60 19
 
2.6%
Other values (120) 308
41.9%
ValueCountFrequency (%)
0 11
 
1.5%
1 1
 
0.1%
2 4
 
0.5%
3 18
 
2.4%
4 44
6.0%
5 64
8.7%
6 54
7.3%
7 35
4.8%
8 38
5.2%
9 83
11.3%
ValueCountFrequency (%)
9999 1
 
0.1%
1373 1
 
0.1%
1208 1
 
0.1%
999 4
0.5%
416 1
 
0.1%
400 1
 
0.1%
383 1
 
0.1%
371 1
 
0.1%
298 1
 
0.1%
262 1
 
0.1%

인당수강료내용
Text

MISSING 

Distinct132
Distinct (%)99.2%
Missing602
Missing (%)81.9%
Memory size5.9 KiB
2024-04-30T05:36:33.141380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length230
Median length110
Mean length73.87218
Min length9

Characters and Unicode

Total characters9825
Distinct characters156
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique131 ?
Unique (%)98.5%

Sample

1st row초등수학:140000, 중등수학:300000
2nd row입시:400000, 피아노초급:140000, 피아노중급A:150000, 피아노중급B:160000, 피아노고급A:170000, 피아노고급B:180000
3rd row피아노초급:110000, 피아노중급:120000, 피아노고급:130000
4th row초급A:140000, 초급B:150000, 중급:160000, 고급:170000
5th row초등영어A:190000, 초등영어B:180000, 초등영어C:170000, 중등영어:250000, 고등영어:320000
ValueCountFrequency (%)
피아노 14
 
1.9%
고급 12
 
1.6%
수학 7
 
0.9%
초급 6
 
0.8%
중등영어:250000 5
 
0.7%
체르니 5
 
0.7%
중급 5
 
0.7%
초등수학:200000 4
 
0.5%
피아노중급1:140000 3
 
0.4%
초등수학:180000 3
 
0.4%
Other values (620) 674
91.3%
2024-04-30T05:36:33.487745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2759
28.1%
: 669
 
6.8%
605
 
6.2%
, 544
 
5.5%
1 494
 
5.0%
2 347
 
3.5%
등 324
 
3.3%
급 305
 
3.1%
고 222
 
2.3%
초 219
 
2.2%
Other values (146) 3337
34.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4332
44.1%
Other Letter 3078
31.3%
Other Punctuation 1213
 
12.3%
Space Separator 605
 
6.2%
Close Punctuation 197
 
2.0%
Open Punctuation 197
 
2.0%
Uppercase Letter 154
 
1.6%
Lowercase Letter 28
 
0.3%
Dash Punctuation 18
 
0.2%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
등 324
 
10.5%
급 305
 
9.9%
고 222
 
7.2%
초 219
 
7.1%
중 209
 
6.8%
아 164
 
5.3%
피 164
 
5.3%
노 163
 
5.3%
학 152
 
4.9%
수 143
 
4.6%
Other values (104) 1013
32.9%
Uppercase Letter
ValueCountFrequency (%)
A 60
39.0%
B 56
36.4%
C 19
 
12.3%
D 5
 
3.2%
E 4
 
2.6%
P 3
 
1.9%
G 1
 
0.6%
F 1
 
0.6%
I 1
 
0.6%
L 1
 
0.6%
Other values (3) 3
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
e 7
25.0%
d 3
10.7%
a 3
10.7%
c 2
 
7.1%
v 2
 
7.1%
r 2
 
7.1%
i 2
 
7.1%
n 2
 
7.1%
t 2
 
7.1%
s 1
 
3.6%
Other values (2) 2
 
7.1%
Decimal Number
ValueCountFrequency (%)
0 2759
63.7%
1 494
 
11.4%
2 347
 
8.0%
3 211
 
4.9%
5 157
 
3.6%
4 122
 
2.8%
6 76
 
1.8%
8 74
 
1.7%
7 62
 
1.4%
9 30
 
0.7%
Other Punctuation
ValueCountFrequency (%)
: 669
55.2%
, 544
44.8%
Space Separator
ValueCountFrequency (%)
605
100.0%
Close Punctuation
ValueCountFrequency (%)
) 197
100.0%
Open Punctuation
ValueCountFrequency (%)
( 197
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6565
66.8%
Hangul 3078
31.3%
Latin 182
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
등 324
 
10.5%
급 305
 
9.9%
고 222
 
7.2%
초 219
 
7.1%
중 209
 
6.8%
아 164
 
5.3%
피 164
 
5.3%
노 163
 
5.3%
학 152
 
4.9%
수 143
 
4.6%
Other values (104) 1013
32.9%
Latin
ValueCountFrequency (%)
A 60
33.0%
B 56
30.8%
C 19
 
10.4%
e 7
 
3.8%
D 5
 
2.7%
E 4
 
2.2%
d 3
 
1.6%
P 3
 
1.6%
a 3
 
1.6%
c 2
 
1.1%
Other values (15) 20
 
11.0%
Common
ValueCountFrequency (%)
0 2759
42.0%
: 669
 
10.2%
605
 
9.2%
, 544
 
8.3%
1 494
 
7.5%
2 347
 
5.3%
3 211
 
3.2%
) 197
 
3.0%
( 197
 
3.0%
5 157
 
2.4%
Other values (7) 385
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6747
68.7%
Hangul 3078
31.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2759
40.9%
: 669
 
9.9%
605
 
9.0%
, 544
 
8.1%
1 494
 
7.3%
2 347
 
5.1%
3 211
 
3.1%
) 197
 
2.9%
( 197
 
2.9%
5 157
 
2.3%
Other values (32) 567
 
8.4%
Hangul
ValueCountFrequency (%)
등 324
 
10.5%
급 305
 
9.9%
고 222
 
7.2%
초 219
 
7.1%
중 209
 
6.8%
아 164
 
5.3%
피 164
 
5.3%
노 163
 
5.3%
학 152
 
4.9%
수 143
 
4.6%
Other values (104) 1013
32.9%

수강료공개여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size867.0 B
True
656 
False
79 
ValueCountFrequency (%)
True 656
89.3%
False 79
 
10.7%
2024-04-30T05:36:33.603879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기숙사학원여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.3%
Missing42
Missing (%)5.7%
Memory size1.6 KiB
False
691 
True
 
2
(Missing)
 
42
ValueCountFrequency (%)
False 691
94.0%
True 2
 
0.3%
(Missing) 42
 
5.7%
2024-04-30T05:36:33.684326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

도로명우편번호
Real number (ℝ)

Distinct166
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21527.263
Minimum3470
Maximum120863
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2024-04-30T05:36:33.768049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3470
5-th percentile3616
Q13670
median3710
Q33770
95-th percentile120848
Maximum120863
Range117393
Interquartile range (IQR)100

Descriptive statistics

Standard deviation42077.291
Coefficient of variation (CV)1.9546048
Kurtosis1.762545
Mean21527.263
Median Absolute Deviation (MAD)52
Skewness1.9384768
Sum15822538
Variance1.7704984 × 109
MonotonicityNot monotonic
2024-04-30T05:36:33.890612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3710 35
 
4.8%
3690 21
 
2.9%
3709 20
 
2.7%
3730 17
 
2.3%
3616 17
 
2.3%
3659 16
 
2.2%
3723 15
 
2.0%
3686 15
 
2.0%
3632 15
 
2.0%
3691 15
 
2.0%
Other values (156) 549
74.7%
ValueCountFrequency (%)
3470 1
 
0.1%
3601 1
 
0.1%
3602 1
 
0.1%
3605 3
 
0.4%
3607 1
 
0.1%
3611 5
 
0.7%
3612 4
 
0.5%
3613 2
 
0.3%
3615 10
1.4%
3616 17
2.3%
ValueCountFrequency (%)
120863 8
1.1%
120861 2
 
0.3%
120859 3
 
0.4%
120857 6
0.8%
120856 1
 
0.1%
120854 4
 
0.5%
120853 1
 
0.1%
120848 14
1.9%
120846 1
 
0.1%
120845 1
 
0.1%

등록상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
개원
735 

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 735
100.0%

Length

2024-04-30T05:36:34.006800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:36:34.269721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개원 735
100.0%

등록일자
Real number (ℝ)

Distinct666
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20138382
Minimum19820119
Maximum20240327
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2024-04-30T05:36:34.355132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19820119
5-th percentile19960549
Q120090714
median20161202
Q320210526
95-th percentile20230820
Maximum20240327
Range420208
Interquartile range (IQR)119811

Descriptive statistics

Standard deviation87475.505
Coefficient of variation (CV)0.0043437206
Kurtosis1.3066195
Mean20138382
Median Absolute Deviation (MAD)59199
Skewness-1.2220801
Sum1.4801711 × 1010
Variance7.6519639 × 109
MonotonicityNot monotonic
2024-04-30T05:36:34.480169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20171129 3
 
0.4%
20211230 3
 
0.4%
20230531 3
 
0.4%
20220118 3
 
0.4%
20230629 3
 
0.4%
20190620 2
 
0.3%
20230927 2
 
0.3%
20190228 2
 
0.3%
20230802 2
 
0.3%
20190131 2
 
0.3%
Other values (656) 710
96.6%
ValueCountFrequency (%)
19820119 1
0.1%
19820128 1
0.1%
19820130 1
0.1%
19820302 1
0.1%
19820421 1
0.1%
19820726 1
0.1%
19870319 1
0.1%
19870609 1
0.1%
19880630 1
0.1%
19880824 1
0.1%
ValueCountFrequency (%)
20240327 1
0.1%
20240319 1
0.1%
20240314 2
0.3%
20240308 2
0.3%
20240227 1
0.1%
20240215 1
0.1%
20240208 1
0.1%
20240205 1
0.1%
20240125 1
0.1%
20240115 2
0.3%

휴원시작일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing728
Missing (%)99.0%
Infinite0
Infinite (%)0.0%
Mean20176375
Minimum20150415
Maximum20230630
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2024-04-30T05:36:34.569927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20150415
5-th percentile20153385
Q120160558
median20161121
Q320185671
95-th percentile20221806
Maximum20230630
Range80215
Interquartile range (IQR)25112.5

Descriptive statistics

Standard deviation28887.071
Coefficient of variation (CV)0.0014317275
Kurtosis1.0878759
Mean20176375
Median Absolute Deviation (MAD)9005
Skewness1.411573
Sum1.4123462 × 108
Variance8.344629 × 108
MonotonicityNot monotonic
2024-04-30T05:36:34.664976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20160801 1
 
0.1%
20230630 1
 
0.1%
20150415 1
 
0.1%
20201216 1
 
0.1%
20161121 1
 
0.1%
20160316 1
 
0.1%
20170126 1
 
0.1%
(Missing) 728
99.0%
ValueCountFrequency (%)
20150415 1
0.1%
20160316 1
0.1%
20160801 1
0.1%
20161121 1
0.1%
20170126 1
0.1%
20201216 1
0.1%
20230630 1
0.1%
ValueCountFrequency (%)
20230630 1
0.1%
20201216 1
0.1%
20170126 1
0.1%
20161121 1
0.1%
20160801 1
0.1%
20160316 1
0.1%
20150415 1
0.1%

휴원종료일자
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)1.2%
Missing52
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean99173246
Minimum20150630
Maximum99991231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2024-04-30T05:36:34.774717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20150630
5-th percentile99991231
Q199991231
median99991231
Q399991231
95-th percentile99991231
Maximum99991231
Range79840601
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8044289
Coefficient of variation (CV)0.081113499
Kurtosis93.272015
Mean99173246
Median Absolute Deviation (MAD)0
Skewness-9.7467372
Sum6.7735327 × 1010
Variance6.4710586 × 1013
MonotonicityNot monotonic
2024-04-30T05:36:34.875915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
99991231 676
92.0%
20170801 1
 
0.1%
20230831 1
 
0.1%
20150630 1
 
0.1%
20210228 1
 
0.1%
20161204 1
 
0.1%
20161215 1
 
0.1%
20170201 1
 
0.1%
(Missing) 52
 
7.1%
ValueCountFrequency (%)
20150630 1
 
0.1%
20161204 1
 
0.1%
20161215 1
 
0.1%
20170201 1
 
0.1%
20170801 1
 
0.1%
20210228 1
 
0.1%
20230831 1
 
0.1%
99991231 676
92.0%
ValueCountFrequency (%)
99991231 676
92.0%
20230831 1
 
0.1%
20210228 1
 
0.1%
20170801 1
 
0.1%
20170201 1
 
0.1%
20161215 1
 
0.1%
20161204 1
 
0.1%
20150630 1
 
0.1%

개설일자
Real number (ℝ)

Distinct665
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20138666
Minimum19820119
Maximum20240327
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2024-04-30T05:36:34.989222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19820119
5-th percentile19960675
Q120090763
median20161202
Q320210522
95-th percentile20230807
Maximum20240327
Range420208
Interquartile range (IQR)119759.5

Descriptive statistics

Standard deviation87202.634
Coefficient of variation (CV)0.0043301097
Kurtosis1.3523075
Mean20138666
Median Absolute Deviation (MAD)59114
Skewness-1.2320365
Sum1.480192 × 1010
Variance7.6042994 × 109
MonotonicityNot monotonic
2024-04-30T05:36:35.121917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20230627 3
 
0.4%
20171129 3
 
0.4%
20230531 3
 
0.4%
20210203 3
 
0.4%
20211230 3
 
0.4%
20220118 3
 
0.4%
20220104 2
 
0.3%
20220503 2
 
0.3%
20110711 2
 
0.3%
20210802 2
 
0.3%
Other values (655) 709
96.5%
ValueCountFrequency (%)
19820119 1
0.1%
19820128 1
0.1%
19820130 1
0.1%
19820302 1
0.1%
19820421 1
0.1%
19820726 1
0.1%
19870319 1
0.1%
19870609 1
0.1%
19880630 1
0.1%
19880824 1
0.1%
ValueCountFrequency (%)
20240327 1
0.1%
20240319 1
0.1%
20240314 2
0.3%
20240308 2
0.3%
20240227 1
0.1%
20240215 1
0.1%
20240208 1
0.1%
20240205 1
0.1%
20240125 1
0.1%
20240115 2
0.3%

적재일시
Real number (ℝ)

Distinct17
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20232364
Minimum20231018
Maximum20240407
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2024-04-30T05:36:35.219919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20231018
5-th percentile20231018
Q120231018
median20231018
Q320231018
95-th percentile20240317
Maximum20240407
Range9389
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3248.8205
Coefficient of variation (CV)0.00016057543
Kurtosis2.126064
Mean20232364
Median Absolute Deviation (MAD)0
Skewness2.029291
Sum1.4870788 × 1010
Variance10554834
MonotonicityNot monotonic
2024-04-30T05:36:35.332354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
20231018 573
78.0%
20240317 26
 
3.5%
20240225 26
 
3.5%
20240128 20
 
2.7%
20240331 16
 
2.2%
20240407 12
 
1.6%
20231206 10
 
1.4%
20231105 8
 
1.1%
20231217 7
 
1.0%
20231210 7
 
1.0%
Other values (7) 30
 
4.1%
ValueCountFrequency (%)
20231018 573
78.0%
20231023 1
 
0.1%
20231029 5
 
0.7%
20231105 8
 
1.1%
20231113 2
 
0.3%
20231126 5
 
0.7%
20231206 10
 
1.4%
20231210 7
 
1.0%
20231217 7
 
1.0%
20231224 6
 
0.8%
ValueCountFrequency (%)
20240407 12
1.6%
20240331 16
2.2%
20240324 6
 
0.8%
20240317 26
3.5%
20240225 26
3.5%
20240128 20
2.7%
20231231 5
 
0.7%
20231224 6
 
0.8%
20231217 7
 
1.0%
20231210 7
 
1.0%

Sample

행정구역명학원/교습소학원지정번호학원명도로명주소도로명상세주소분야명교습계열명교습과정목록명교습과정명정원합계일시수용능력인원합계인당수강료내용수강료공개여부기숙사학원여부도로명우편번호등록상태명등록일자휴원시작일자휴원종료일자개설일자적재일시
0서대문구학원1000004028NE능률홍제영어학원서울특별시 서대문구 세무서길 832층 (홍제동)입시.검정 및 보습보통교과보습보습40195<NA>NN120857개원19880630<NA>999912311988063020231018
1서대문구학원1000004205비상아이비츠학원서울특별시 서대문구 증가로10길 60-22, 2층 (남가좌동)입시.검정 및 보습보통교과보습,보습6073<NA>YN3665개원19880824<NA>999912311988082420231018
2서대문구학원1000004271폴인피아노음악학원서울특별시 서대문구 세무서길 312층 (홍제동)예능(대)예능(중)음악음악4209<NA>YN120857개원19880920<NA>999912311988092020231018
3서대문구학원1000004335연희피아노학원서울특별시 서대문구 연희로 1742층 (연희동)예능(대)예능(중)음악음악4654<NA>YN120829개원19881022<NA>999912311988102220231105
4서대문구학원1000004386인성보습학원서울특별시 서대문구 모래내로 3792층 (홍제동)입시.검정 및 보습보통교과보습,보습21580<NA>YN120861개원19881114<NA>999912311988111420231018
5서대문구학원1000004621신서당독서실서울특별시 서대문구 응암로 28307호 (북가좌동, 한양아파트)독서실독서독서실(유아/초?중?고),독서실(유아/초?중?고)30104<NA>YN120765개원19890412<NA>999912311989041220231018
6서대문구학원1000004655케이시티학원서울특별시 서대문구 모래내로 346, 4층 (홍은동)입시.검정 및 보습보통교과보습,보습9090<NA>YN3658개원19890507<NA>999912311989050720231018
7서대문구학원1000005078수연음악학원서울특별시 서대문구 북아현로 554층 전체 (북아현동)예능(대)<NA>음악,<NA>1580<NA>YN120190개원19890817<NA>999912311989081720231018
8서대문구학원1000005554인지학원서울특별시 서대문구 거북골로14길 5, 4층(북가좌삼호아파트상가동) (북가좌동)입시.검정 및 보습보통교과보습,보습90141<NA>NN3690개원19900123<NA>999912311990012320231018
9서대문구학원1000005600스카이수학학원서울특별시 서대문구 독립문로 64, 2,3층 (냉천동)입시.검정 및 보습보통교과보습?논술보습?논술136168<NA>YN3745개원19900207<NA>999912311990020720240317
행정구역명학원/교습소학원지정번호학원명도로명주소도로명상세주소분야명교습계열명교습과정목록명교습과정명정원합계일시수용능력인원합계인당수강료내용수강료공개여부기숙사학원여부도로명우편번호등록상태명등록일자휴원시작일자휴원종료일자개설일자적재일시
725서대문구학원7066헤라클레스미술학원서울특별시 서대문구 신촌로 13, 6층 (창천동, 아륭빌딩)예능(대)예능(중)미술미술232120<NA>YN3785개원20041126<NA>999912312004112620240331
726서대문구교습소7294노아미술교습소서울특별시 서대문구 모래내로24길 132층일부 (홍제동)예능(대)예능(중)초등부1(고급)미술97<NA>NN3729개원20041206<NA>999912312004120620231018
727서대문구학원7720수독서실서울특별시 서대문구 독립문공원길 13, 4층 안쪽 (현저동)독서실독서독서실(유아/초?중?고),독서실(유아/초?중?고)5080<NA>YN3733개원20050107<NA>999912312005010720231018
728서대문구교습소8145엔젤피아노교습소서울특별시 서대문구 독립문로4길 81층일부 (옥천동)예능(대)예능(중)고급피아노A음악244고급피아노A:420000, 고급피아노B:300000, 고급피아노C:250000, 고급피아노D:160000, 고급피아노E:140000, 중급피아노F:130000, 중급피아노G:100000YN3744개원20050126<NA>999912312005012620231018
729서대문구교습소8545그림속풍경홍익미술교습소서울특별시 서대문구 간호대로2길 20<NA>예능(대)예능(중)<NA>미술93<NA>YN3617개원20050225<NA>999912312005022520231018
730서대문구교습소8546투핸즈미술교습소서울특별시 서대문구 연희맛로 184층 (연희동)예능(대)예능(중)초급미술1미술459<NA>NN3708개원20050225<NA>999912312005022520231018
731서대문구교습소8772비상잉글리시아이영천점영어교습소서울특별시 서대문구 독립문로 163층 (영천동)입시.검정 및 보습보통교과초등영어1보습259초등영어1:200000, 초등영어2:225000, 중등영어1:250000, 중등영어2:280000YN3744개원20050317<NA>999912312005031720231105
732서대문구교습소8806명인음악교습소서울특별시 서대문구 응암로 32, 상가 129호 (북가좌동, DMC한양)예능(대)예능(중)피아노/바이올린/플룻/동요 (각 과목) 기초음악204<NA>YN3790개원20050318<NA>999912312005031820231018
733서대문구학원9576킴즈리드앤톡영어학원서울특별시 서대문구 증가로 2042층 (북가좌동)입시.검정 및 보습보통교과보습,보습18050<NA>YN120812개원20050427<NA>999912312005042720231018
734서대문구학원9924이진주어학원서울특별시 서대문구 가좌로 146, 3층, 4층(일부)(홍은동) (홍은동, 태향빌딩)국제화외국어실용외국어(유아/초?중?고),실용외국어(유아/초?중?고)48110<NA>YN3655개원20050520<NA>999912312005052020231018