Overview

Dataset statistics

Number of variables22
Number of observations568
Missing cells586
Missing cells (%)4.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory102.7 KiB
Average record size in memory185.2 B

Variable types

Categorical8
Numeric7
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
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-20536/S/1/datasetView.do

Alerts

행정구역명 has constant value ""Constant
기숙사학원여부 has constant value ""Constant
등록상태명 has constant value ""Constant
휴원시작일자 is highly imbalanced (97.2%)Imbalance
휴원종료일자 is highly imbalanced (79.4%)Imbalance
교습과정목록명 has 157 (27.6%) missing valuesMissing
인당수강료내용 has 392 (69.0%) missing valuesMissing
기숙사학원여부 has 37 (6.5%) missing valuesMissing
학원지정번호 has unique valuesUnique
학원명 has unique valuesUnique
정원합계 has 56 (9.9%) zerosZeros
일시수용능력인원합계 has 6 (1.1%) zerosZeros

Reproduction

Analysis started2024-05-17 22:21:10.122418
Analysis finished2024-05-17 22:21:12.382111
Duration2.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정구역명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
중랑구
568 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중랑구 568
100.0%

Length

2024-05-18T07:21:12.578182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:21:13.139863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중랑구 568
100.0%

학원/교습소
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
학원
293 
교습소
275 

Length

Max length3
Median length2
Mean length2.4841549
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
학원 293
51.6%
교습소 275
48.4%

Length

2024-05-18T07:21:13.620193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:21:13.971075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학원 293
51.6%
교습소 275
48.4%

학원지정번호
Real number (ℝ)

UNIQUE 

Distinct568
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0616457 × 109
Minimum397
Maximum3.0000503 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-05-18T07:21:14.369222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum397
5-th percentile7739.6
Q130317.25
median3.0000241 × 109
Q33.0000376 × 109
95-th percentile3.0000465 × 109
Maximum3.0000503 × 109
Range3.0000499 × 109
Interquartile range (IQR)3.0000073 × 109

Descriptive statistics

Standard deviation1.3179371 × 109
Coefficient of variation (CV)0.6392646
Kurtosis-1.2540289
Mean2.0616457 × 109
Median Absolute Deviation (MAD)17655
Skewness-0.795731
Sum1.1710147 × 1012
Variance1.7369582 × 1018
MonotonicityNot monotonic
2024-05-18T07:21:14.813892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1000000293 1
 
0.2%
3000036704 1
 
0.2%
3000036145 1
 
0.2%
3000036184 1
 
0.2%
3000036323 1
 
0.2%
3000036326 1
 
0.2%
3000036553 1
 
0.2%
3000036599 1
 
0.2%
3000036714 1
 
0.2%
3000035761 1
 
0.2%
Other values (558) 558
98.2%
ValueCountFrequency (%)
397 1
0.2%
402 1
0.2%
450 1
0.2%
677 1
0.2%
818 1
0.2%
833 1
0.2%
837 1
0.2%
1153 1
0.2%
1164 1
0.2%
1579 1
0.2%
ValueCountFrequency (%)
3000050312 1
0.2%
3000050224 1
0.2%
3000050208 1
0.2%
3000050190 1
0.2%
3000050161 1
0.2%
3000050158 1
0.2%
3000050157 1
0.2%
3000050135 1
0.2%
3000050134 1
0.2%
3000050123 1
0.2%

학원명
Text

UNIQUE 

Distinct568
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2024-05-18T07:21:15.567852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length9.1637324
Min length4

Characters and Unicode

Total characters5205
Distinct characters462
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

Unique568 ?
Unique (%)100.0%

Sample

1st row예맥보습학원
2nd row세진보습학원
3rd row금파음악학원
4th row필립학원
5th row클라라음악학원
ValueCountFrequency (%)
디올(the 2
 
0.3%
예맥보습학원 1
 
0.2%
튼튼영어마스터클럽학원 1
 
0.2%
조은댄스학원 1
 
0.2%
es스마트해법수학학원 1
 
0.2%
케이앤국영수리드인학원 1
 
0.2%
신내루시드위니드영수전문학원 1
 
0.2%
플라톤아카데미신내축복독서논술교습소 1
 
0.2%
ma수학교습소 1
 
0.2%
하우스터디묵동센터독서실 1
 
0.2%
Other values (570) 570
98.1%
2024-05-18T07:21:16.976339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 389
 
7.5%
습 294
 
5.6%
원 294
 
5.6%
소 286
 
5.5%
교 282
 
5.4%
음 121
 
2.3%
악 114
 
2.2%
수 112
 
2.2%
어 108
 
2.1%
영 100
 
1.9%
Other values (452) 3105
59.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4802
92.3%
Uppercase Letter 179
 
3.4%
Lowercase Letter 110
 
2.1%
Close Punctuation 35
 
0.7%
Open Punctuation 35
 
0.7%
Decimal Number 22
 
0.4%
Space Separator 13
 
0.2%
Other Punctuation 7
 
0.1%
Dash Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 389
 
8.1%
습 294
 
6.1%
원 294
 
6.1%
소 286
 
6.0%
교 282
 
5.9%
음 121
 
2.5%
악 114
 
2.4%
수 112
 
2.3%
어 108
 
2.2%
영 100
 
2.1%
Other values (394) 2702
56.3%
Uppercase Letter
ValueCountFrequency (%)
E 21
 
11.7%
S 20
 
11.2%
A 13
 
7.3%
M 12
 
6.7%
T 11
 
6.1%
Y 9
 
5.0%
L 9
 
5.0%
O 9
 
5.0%
I 8
 
4.5%
N 8
 
4.5%
Other values (14) 59
33.0%
Lowercase Letter
ValueCountFrequency (%)
e 12
10.9%
n 12
10.9%
h 10
9.1%
i 10
9.1%
a 9
 
8.2%
l 9
 
8.2%
t 8
 
7.3%
g 6
 
5.5%
o 6
 
5.5%
s 4
 
3.6%
Other values (10) 24
21.8%
Decimal Number
ValueCountFrequency (%)
2 8
36.4%
1 6
27.3%
3 4
18.2%
0 2
 
9.1%
4 1
 
4.5%
9 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
& 5
71.4%
% 1
 
14.3%
, 1
 
14.3%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4802
92.3%
Latin 289
 
5.6%
Common 114
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 389
 
8.1%
습 294
 
6.1%
원 294
 
6.1%
소 286
 
6.0%
교 282
 
5.9%
음 121
 
2.5%
악 114
 
2.4%
수 112
 
2.3%
어 108
 
2.2%
영 100
 
2.1%
Other values (394) 2702
56.3%
Latin
ValueCountFrequency (%)
E 21
 
7.3%
S 20
 
6.9%
A 13
 
4.5%
M 12
 
4.2%
e 12
 
4.2%
n 12
 
4.2%
T 11
 
3.8%
h 10
 
3.5%
i 10
 
3.5%
a 9
 
3.1%
Other values (34) 159
55.0%
Common
ValueCountFrequency (%)
) 35
30.7%
( 35
30.7%
13
 
11.4%
2 8
 
7.0%
1 6
 
5.3%
& 5
 
4.4%
3 4
 
3.5%
0 2
 
1.8%
4 1
 
0.9%
% 1
 
0.9%
Other values (4) 4
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4801
92.2%
ASCII 403
 
7.7%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 389
 
8.1%
습 294
 
6.1%
원 294
 
6.1%
소 286
 
6.0%
교 282
 
5.9%
음 121
 
2.5%
악 114
 
2.4%
수 112
 
2.3%
어 108
 
2.2%
영 100
 
2.1%
Other values (393) 2701
56.3%
ASCII
ValueCountFrequency (%)
) 35
 
8.7%
( 35
 
8.7%
E 21
 
5.2%
S 20
 
5.0%
A 13
 
3.2%
13
 
3.2%
M 12
 
3.0%
e 12
 
3.0%
n 12
 
3.0%
T 11
 
2.7%
Other values (48) 219
54.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

도로명주소
Text

Distinct369
Distinct (%)65.0%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2024-05-18T07:21:17.928452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length18.617958
Min length15

Characters and Unicode

Total characters10575
Distinct characters57
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

Unique278 ?
Unique (%)48.9%

Sample

1st row서울특별시 중랑구 동일로151길 30
2nd row서울특별시 중랑구 공릉로 58
3rd row서울특별시 중랑구 동일로101길 52
4th row서울특별시 중랑구 동일로129길 54
5th row서울특별시 중랑구 겸재로3길 22
ValueCountFrequency (%)
서울특별시 568
25.0%
중랑구 568
25.0%
봉화산로 54
 
2.4%
신내로 53
 
2.3%
용마산로 30
 
1.3%
동일로 30
 
1.3%
봉화산로56길 20
 
0.9%
신내로7가길 16
 
0.7%
면목로 15
 
0.7%
망우로 15
 
0.7%
Other values (333) 903
39.7%
2024-05-18T07:21:19.440913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1704
16.1%
중 575
 
5.4%
랑 572
 
5.4%
서 568
 
5.4%
특 568
 
5.4%
별 568
 
5.4%
시 568
 
5.4%
구 568
 
5.4%
울 568
 
5.4%
로 568
 
5.4%
Other values (47) 3748
35.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6866
64.9%
Decimal Number 1972
 
18.6%
Space Separator 1704
 
16.1%
Dash Punctuation 33
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 575
8.4%
랑 572
8.3%
서 568
8.3%
특 568
8.3%
별 568
8.3%
시 568
8.3%
구 568
8.3%
울 568
8.3%
로 568
8.3%
길 326
 
4.7%
Other values (35) 1417
20.6%
Decimal Number
ValueCountFrequency (%)
1 372
18.9%
2 280
14.2%
5 222
11.3%
3 212
10.8%
4 189
9.6%
7 174
8.8%
6 157
8.0%
9 131
 
6.6%
0 122
 
6.2%
8 113
 
5.7%
Space Separator
ValueCountFrequency (%)
1704
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6866
64.9%
Common 3709
35.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 575
8.4%
랑 572
8.3%
서 568
8.3%
특 568
8.3%
별 568
8.3%
시 568
8.3%
구 568
8.3%
울 568
8.3%
로 568
8.3%
길 326
 
4.7%
Other values (35) 1417
20.6%
Common
ValueCountFrequency (%)
1704
45.9%
1 372
 
10.0%
2 280
 
7.5%
5 222
 
6.0%
3 212
 
5.7%
4 189
 
5.1%
7 174
 
4.7%
6 157
 
4.2%
9 131
 
3.5%
0 122
 
3.3%
Other values (2) 146
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6866
64.9%
ASCII 3709
35.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1704
45.9%
1 372
 
10.0%
2 280
 
7.5%
5 222
 
6.0%
3 212
 
5.7%
4 189
 
5.1%
7 174
 
4.7%
6 157
 
4.2%
9 131
 
3.5%
0 122
 
3.3%
Other values (2) 146
 
3.9%
Hangul
ValueCountFrequency (%)
중 575
8.4%
랑 572
8.3%
서 568
8.3%
특 568
8.3%
별 568
8.3%
시 568
8.3%
구 568
8.3%
울 568
8.3%
로 568
8.3%
길 326
 
4.7%
Other values (35) 1417
20.6%

도로명상세주소
Text

Distinct441
Distinct (%)77.6%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2024-05-18T07:21:20.164610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length34
Mean length16.193662
Min length4

Characters and Unicode

Total characters9198
Distinct characters245
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

Unique400 ?
Unique (%)70.4%

Sample

1st row2층 (묵동)
2nd row2층4층일부 (묵동)
3rd row2층 (면목동)
4th row2층 (중화동)
5th row3층 (면목동)
ValueCountFrequency (%)
385
19.6%
2층 142
 
7.2%
신내동 142
 
7.2%
면목동 139
 
7.1%
일부 79
 
4.0%
3층 68
 
3.5%
1층 67
 
3.4%
묵동 63
 
3.2%
망우동 59
 
3.0%
중화동 41
 
2.1%
Other values (405) 783
39.8%
2024-05-18T07:21:21.522512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1408
 
15.3%
, 673
 
7.3%
동 661
 
7.2%
) 589
 
6.4%
( 587
 
6.4%
층 446
 
4.8%
2 354
 
3.8%
1 248
 
2.7%
호 238
 
2.6%
0 233
 
2.5%
Other values (235) 3761
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4515
49.1%
Space Separator 1408
 
15.3%
Decimal Number 1336
 
14.5%
Other Punctuation 720
 
7.8%
Close Punctuation 589
 
6.4%
Open Punctuation 587
 
6.4%
Uppercase Letter 24
 
0.3%
Dash Punctuation 15
 
0.2%
Lowercase Letter 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 661
 
14.6%
층 446
 
9.9%
호 238
 
5.3%
신 230
 
5.1%
내 202
 
4.5%
면 168
 
3.7%
목 168
 
3.7%
일 158
 
3.5%
부 157
 
3.5%
상 142
 
3.1%
Other values (202) 1945
43.1%
Uppercase Letter
ValueCountFrequency (%)
A 6
25.0%
C 5
20.8%
S 3
12.5%
B 3
12.5%
R 1
 
4.2%
E 1
 
4.2%
W 1
 
4.2%
O 1
 
4.2%
T 1
 
4.2%
G 1
 
4.2%
Decimal Number
ValueCountFrequency (%)
2 354
26.5%
1 248
18.6%
0 233
17.4%
3 189
14.1%
4 113
 
8.5%
5 58
 
4.3%
6 54
 
4.0%
7 31
 
2.3%
9 30
 
2.2%
8 26
 
1.9%
Other Punctuation
ValueCountFrequency (%)
, 673
93.5%
? 45
 
6.2%
@ 1
 
0.1%
. 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
a 1
33.3%
g 1
33.3%
k 1
33.3%
Space Separator
ValueCountFrequency (%)
1408
100.0%
Close Punctuation
ValueCountFrequency (%)
) 589
100.0%
Open Punctuation
ValueCountFrequency (%)
( 587
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4656
50.6%
Hangul 4515
49.1%
Latin 27
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 661
 
14.6%
층 446
 
9.9%
호 238
 
5.3%
신 230
 
5.1%
내 202
 
4.5%
면 168
 
3.7%
목 168
 
3.7%
일 158
 
3.5%
부 157
 
3.5%
상 142
 
3.1%
Other values (202) 1945
43.1%
Common
ValueCountFrequency (%)
1408
30.2%
, 673
14.5%
) 589
12.7%
( 587
12.6%
2 354
 
7.6%
1 248
 
5.3%
0 233
 
5.0%
3 189
 
4.1%
4 113
 
2.4%
5 58
 
1.2%
Other values (9) 204
 
4.4%
Latin
ValueCountFrequency (%)
A 6
22.2%
C 5
18.5%
S 3
11.1%
B 3
11.1%
a 1
 
3.7%
g 1
 
3.7%
k 1
 
3.7%
R 1
 
3.7%
E 1
 
3.7%
W 1
 
3.7%
Other values (4) 4
14.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4683
50.9%
Hangul 4509
49.0%
Compat Jamo 6
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1408
30.1%
, 673
14.4%
) 589
12.6%
( 587
12.5%
2 354
 
7.6%
1 248
 
5.3%
0 233
 
5.0%
3 189
 
4.0%
4 113
 
2.4%
5 58
 
1.2%
Other values (23) 231
 
4.9%
Hangul
ValueCountFrequency (%)
동 661
 
14.7%
층 446
 
9.9%
호 238
 
5.3%
신 230
 
5.1%
내 202
 
4.5%
면 168
 
3.7%
목 168
 
3.7%
일 158
 
3.5%
부 157
 
3.5%
상 142
 
3.1%
Other values (201) 1939
43.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 6
100.0%

분야명
Categorical

Distinct9
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
입시.검정 및 보습
293 
예능(대)
190 
국제화
 
20
기타(대)
 
15
종합(대)
 
14
Other values (4)
36 

Length

Max length10
Median length10
Mean length7.4507042
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
입시.검정 및 보습 293
51.6%
예능(대) 190
33.5%
국제화 20
 
3.5%
기타(대) 15
 
2.6%
종합(대) 14
 
2.5%
직업기술 14
 
2.5%
기예(대) 13
 
2.3%
독서실 8
 
1.4%
정보 1
 
0.2%

Length

2024-05-18T07:21:22.058575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:21:22.652251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
입시.검정 293
25.4%
및 293
25.4%
보습 293
25.4%
예능(대 190
16.5%
국제화 20
 
1.7%
기타(대 15
 
1.3%
종합(대 14
 
1.2%
직업기술 14
 
1.2%
기예(대 13
 
1.1%
독서실 8
 
0.7%

교습계열명
Categorical

Distinct12
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
보통교과
266 
예능(중)
182 
<NA>
56 
외국어
 
18
기타(중)
 
15
Other values (7)
31 

Length

Max length6
Median length4
Mean length4.3415493
Min length2

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
보통교과 266
46.8%
예능(중) 182
32.0%
<NA> 56
 
9.9%
외국어 18
 
3.2%
기타(중) 15
 
2.6%
기예(중) 10
 
1.8%
독서 8
 
1.4%
산업응용기술 6
 
1.1%
산업기반기술 3
 
0.5%
간호보조기술 2
 
0.4%
Other values (2) 2
 
0.4%

Length

2024-05-18T07:21:23.412954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
보통교과 266
46.8%
예능(중 182
32.0%
na 56
 
9.9%
외국어 18
 
3.2%
기타(중 15
 
2.6%
기예(중 10
 
1.8%
독서 8
 
1.4%
산업응용기술 6
 
1.1%
산업기반기술 3
 
0.5%
간호보조기술 2
 
0.4%
Other values (2) 2
 
0.4%

교습과정목록명
Text

MISSING 

Distinct166
Distinct (%)40.4%
Missing157
Missing (%)27.6%
Memory size4.6 KiB
2024-05-18T07:21:24.334376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length19
Mean length5.5596107
Min length2

Characters and Unicode

Total characters2285
Distinct characters157
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique128 ?
Unique (%)31.1%

Sample

1st row보습,
2nd row음악
3rd row음악
4th row보습,
5th row음악,
ValueCountFrequency (%)
보습 97
22.8%
보습?논술 32
 
7.5%
음악 32
 
7.5%
바이엘(초급 21
 
4.9%
초등수학 13
 
3.1%
미술 10
 
2.4%
초등영어 7
 
1.6%
실용외국어(유아/초?중?고 6
 
1.4%
바이엘 5
 
1.2%
초등논술 5
 
1.2%
Other values (149) 197
46.4%
2024-05-18T07:21:25.818908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 169
 
7.4%
초 166
 
7.3%
보 148
 
6.5%
습 147
 
6.4%
( 126
 
5.5%
) 126
 
5.5%
등 97
 
4.2%
술 92
 
4.0%
? 70
 
3.1%
급 66
 
2.9%
Other values (147) 1078
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1662
72.7%
Other Punctuation 254
 
11.1%
Open Punctuation 127
 
5.6%
Close Punctuation 127
 
5.6%
Decimal Number 46
 
2.0%
Uppercase Letter 31
 
1.4%
Space Separator 14
 
0.6%
Lowercase Letter 13
 
0.6%
Connector Punctuation 6
 
0.3%
Math Symbol 2
 
0.1%
Other values (2) 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
초 166
 
10.0%
보 148
 
8.9%
습 147
 
8.8%
등 97
 
5.8%
술 92
 
5.5%
급 66
 
4.0%
논 53
 
3.2%
이 51
 
3.1%
바 50
 
3.0%
엘 45
 
2.7%
Other values (112) 747
44.9%
Lowercase Letter
ValueCountFrequency (%)
h 2
15.4%
i 2
15.4%
e 2
15.4%
t 1
7.7%
o 1
7.7%
n 1
7.7%
c 1
7.7%
s 1
7.7%
a 1
7.7%
r 1
7.7%
Uppercase Letter
ValueCountFrequency (%)
A 23
74.2%
W 2
 
6.5%
P 2
 
6.5%
I 1
 
3.2%
T 1
 
3.2%
E 1
 
3.2%
H 1
 
3.2%
Decimal Number
ValueCountFrequency (%)
1 27
58.7%
3 7
 
15.2%
2 7
 
15.2%
5 3
 
6.5%
0 1
 
2.2%
6 1
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 169
66.5%
? 70
27.6%
/ 15
 
5.9%
Open Punctuation
ValueCountFrequency (%)
( 126
99.2%
[ 1
 
0.8%
Close Punctuation
ValueCountFrequency (%)
) 126
99.2%
] 1
 
0.8%
Space Separator
ValueCountFrequency (%)
14
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1662
72.7%
Common 578
 
25.3%
Latin 45
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
초 166
 
10.0%
보 148
 
8.9%
습 147
 
8.8%
등 97
 
5.8%
술 92
 
5.5%
급 66
 
4.0%
논 53
 
3.2%
이 51
 
3.1%
바 50
 
3.0%
엘 45
 
2.7%
Other values (112) 747
44.9%
Latin
ValueCountFrequency (%)
A 23
51.1%
W 2
 
4.4%
h 2
 
4.4%
i 2
 
4.4%
P 2
 
4.4%
e 2
 
4.4%
I 1
 
2.2%
T 1
 
2.2%
t 1
 
2.2%
E 1
 
2.2%
Other values (8) 8
 
17.8%
Common
ValueCountFrequency (%)
, 169
29.2%
( 126
21.8%
) 126
21.8%
? 70
12.1%
1 27
 
4.7%
/ 15
 
2.6%
14
 
2.4%
3 7
 
1.2%
2 7
 
1.2%
_ 6
 
1.0%
Other values (7) 11
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1662
72.7%
ASCII 622
 
27.2%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 169
27.2%
( 126
20.3%
) 126
20.3%
? 70
11.3%
1 27
 
4.3%
A 23
 
3.7%
/ 15
 
2.4%
14
 
2.3%
3 7
 
1.1%
2 7
 
1.1%
Other values (24) 38
 
6.1%
Hangul
ValueCountFrequency (%)
초 166
 
10.0%
보 148
 
8.9%
습 147
 
8.8%
등 97
 
5.8%
술 92
 
5.5%
급 66
 
4.0%
논 53
 
3.2%
이 51
 
3.1%
바 50
 
3.0%
엘 45
 
2.7%
Other values (112) 747
44.9%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

교습과정명
Categorical

Distinct26
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
보습
204 
음악
125 
보습?논술
61 
<NA>
56 
미술
54 
Other values (21)
68 

Length

Max length16
Median length2
Mean length3.3556338
Min length2

Unique

Unique8 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
보습 204
35.9%
음악 125
22.0%
보습?논술 61
 
10.7%
<NA> 56
 
9.9%
미술 54
 
9.5%
실용외국어(유아/초?중?고) 18
 
3.2%
기타(소) 8
 
1.4%
독서실(유아/초?중?고) 7
 
1.2%
건축 3
 
0.5%
컴퓨터(소) 3
 
0.5%
Other values (16) 29
 
5.1%

Length

2024-05-18T07:21:26.402641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
보습 204
35.9%
음악 125
22.0%
보습?논술 61
 
10.7%
na 56
 
9.9%
미술 54
 
9.5%
실용외국어(유아/초?중?고 18
 
3.2%
기타(소 8
 
1.4%
독서실(유아/초?중?고 7
 
1.2%
댄스 3
 
0.5%
이?미용 3
 
0.5%
Other values (16) 29
 
5.1%

정원합계
Real number (ℝ)

ZEROS 

Distinct166
Distinct (%)29.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.63556
Minimum0
Maximum2814
Zeros56
Zeros (%)9.9%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-05-18T07:21:26.803449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q117.75
median45
Q3112
95-th percentile356.15
Maximum2814
Range2814
Interquartile range (IQR)94.25

Descriptive statistics

Standard deviation239.65834
Coefficient of variation (CV)2.1661962
Kurtosis48.764363
Mean110.63556
Median Absolute Deviation (MAD)35
Skewness6.2334796
Sum62841
Variance57436.119
MonotonicityNot monotonic
2024-05-18T07:21:27.340817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 56
 
9.9%
15 19
 
3.3%
60 17
 
3.0%
18 17
 
3.0%
30 16
 
2.8%
12 16
 
2.8%
20 15
 
2.6%
24 15
 
2.6%
36 13
 
2.3%
16 11
 
1.9%
Other values (156) 373
65.7%
ValueCountFrequency (%)
0 56
9.9%
3 1
 
0.2%
4 5
 
0.9%
5 3
 
0.5%
6 3
 
0.5%
7 2
 
0.4%
8 10
 
1.8%
9 4
 
0.7%
10 7
 
1.2%
12 16
 
2.8%
ValueCountFrequency (%)
2814 1
 
0.2%
1740 3
0.5%
1666 1
 
0.2%
1620 1
 
0.2%
1590 1
 
0.2%
1393 1
 
0.2%
1139 1
 
0.2%
1130 1
 
0.2%
680 1
 
0.2%
650 1
 
0.2%

일시수용능력인원합계
Real number (ℝ)

ZEROS 

Distinct130
Distinct (%)22.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.853873
Minimum0
Maximum999
Zeros6
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-05-18T07:21:27.964761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q16
median12.5
Q373
95-th percentile145.25
Maximum999
Range999
Interquartile range (IQR)67

Descriptive statistics

Standard deviation66.862159
Coefficient of variation (CV)1.3972152
Kurtosis73.411194
Mean47.853873
Median Absolute Deviation (MAD)12.5
Skewness6.0467151
Sum27181
Variance4470.5483
MonotonicityNot monotonic
2024-05-18T07:21:28.732449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 75
 
13.2%
5 60
 
10.6%
4 37
 
6.5%
7 35
 
6.2%
6 33
 
5.8%
8 22
 
3.9%
3 14
 
2.5%
70 12
 
2.1%
71 10
 
1.8%
73 10
 
1.8%
Other values (120) 260
45.8%
ValueCountFrequency (%)
0 6
 
1.1%
2 2
 
0.4%
3 14
 
2.5%
4 37
6.5%
5 60
10.6%
6 33
5.8%
7 35
6.2%
8 22
 
3.9%
9 75
13.2%
16 1
 
0.2%
ValueCountFrequency (%)
999 1
0.2%
352 1
0.2%
324 1
0.2%
305 1
0.2%
295 1
0.2%
284 1
0.2%
278 1
0.2%
231 1
0.2%
216 1
0.2%
211 1
0.2%

인당수강료내용
Text

MISSING 

Distinct175
Distinct (%)99.4%
Missing392
Missing (%)69.0%
Memory size4.6 KiB
2024-05-18T07:21:29.420140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length523
Median length157
Mean length109.625
Min length10

Characters and Unicode

Total characters19294
Distinct characters263
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique174 ?
Unique (%)98.9%

Sample

1st row초등수학(월수금A):110000, 초등수학(월수금B):110000, 초등수학(화목):110000, 중등수학(월수금A):170000, 중등수학(월수금B):170000, 중등수학(화목토):170000
2nd row음악초급:110000, 음악중급:120000, 음악고급:130000
3rd row바이엘(중급):140000, 체르니100(중급):150000, 체르니30(고급):160000, 체르니 40:170000
4th row바이엘:130000, 체르니100:140000, 체르니30:150000, 바이올린:130000, 피아노체르니100(중):110000, 피아노체르니100(중):105000, 피아노체르니100(중):100000, 피아노체르니30(고):120000, 피아노체르니30(고):115000, 피아노체르니30(고):110000, 피아노체르니30(고):105000, 피아노체르니40(고):130000, 피아노체르니40(고):125000, 피아노체르니40(고):120000, 피아노체르니40(고):115000, 바이올린:100000, 플룻:100000
5th row바이엘:140000, 체르니100:150000, 체르니30:160000
ValueCountFrequency (%)
피아노 17
 
1.2%
체르니40(고급):160000 13
 
1.0%
바이엘(초급):130000 13
 
1.0%
체르니100(중급):140000 12
 
0.9%
체르니30(고급):150000 11
 
0.8%
초등영어 11
 
0.8%
바이엘(초급):120000 9
 
0.7%
체르니100(중급):130000 8
 
0.6%
체르니30(고급):140000 8
 
0.6%
체르니30(고급):160000 7
 
0.5%
Other values (1054) 1253
92.0%
2024-05-18T07:21:31.491143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5294
27.4%
: 1237
 
6.4%
1186
 
6.1%
, 1104
 
5.7%
1 1028
 
5.3%
( 662
 
3.4%
) 661
 
3.4%
급 507
 
2.6%
고 440
 
2.3%
등 438
 
2.3%
Other values (253) 6737
34.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8214
42.6%
Other Letter 5856
30.4%
Other Punctuation 2357
 
12.2%
Space Separator 1186
 
6.1%
Open Punctuation 672
 
3.5%
Close Punctuation 671
 
3.5%
Uppercase Letter 183
 
0.9%
Connector Punctuation 51
 
0.3%
Lowercase Letter 44
 
0.2%
Dash Punctuation 30
 
0.2%
Other values (2) 30
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
급 507
 
8.7%
고 440
 
7.5%
등 438
 
7.5%
초 417
 
7.1%
중 301
 
5.1%
니 244
 
4.2%
르 238
 
4.1%
체 237
 
4.0%
술 204
 
3.5%
학 204
 
3.5%
Other values (190) 2626
44.8%
Uppercase Letter
ValueCountFrequency (%)
B 60
32.8%
A 52
28.4%
C 23
 
12.6%
I 10
 
5.5%
L 7
 
3.8%
E 6
 
3.3%
P 4
 
2.2%
D 4
 
2.2%
R 3
 
1.6%
W 3
 
1.6%
Other values (7) 11
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
e 7
15.9%
a 5
11.4%
v 5
11.4%
c 4
9.1%
l 4
9.1%
b 4
9.1%
i 2
 
4.5%
n 2
 
4.5%
k 2
 
4.5%
d 2
 
4.5%
Other values (6) 7
15.9%
Decimal Number
ValueCountFrequency (%)
0 5294
64.5%
1 1028
 
12.5%
2 423
 
5.1%
3 401
 
4.9%
4 273
 
3.3%
5 272
 
3.3%
6 169
 
2.1%
8 138
 
1.7%
7 117
 
1.4%
9 99
 
1.2%
Other Punctuation
ValueCountFrequency (%)
: 1237
52.5%
, 1104
46.8%
? 8
 
0.3%
. 5
 
0.2%
/ 3
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 10
45.5%
> 4
 
18.2%
+ 4
 
18.2%
< 4
 
18.2%
Letter Number
ValueCountFrequency (%)
Ⅰ 3
37.5%
Ⅱ 3
37.5%
Ⅲ 1
 
12.5%
Ⅳ 1
 
12.5%
Open Punctuation
ValueCountFrequency (%)
( 662
98.5%
[ 10
 
1.5%
Close Punctuation
ValueCountFrequency (%)
) 661
98.5%
] 10
 
1.5%
Space Separator
ValueCountFrequency (%)
1186
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 51
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13203
68.4%
Hangul 5856
30.4%
Latin 235
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
급 507
 
8.7%
고 440
 
7.5%
등 438
 
7.5%
초 417
 
7.1%
중 301
 
5.1%
니 244
 
4.2%
르 238
 
4.1%
체 237
 
4.0%
술 204
 
3.5%
학 204
 
3.5%
Other values (190) 2626
44.8%
Latin
ValueCountFrequency (%)
B 60
25.5%
A 52
22.1%
C 23
 
9.8%
I 10
 
4.3%
e 7
 
3.0%
L 7
 
3.0%
E 6
 
2.6%
a 5
 
2.1%
v 5
 
2.1%
c 4
 
1.7%
Other values (27) 56
23.8%
Common
ValueCountFrequency (%)
0 5294
40.1%
: 1237
 
9.4%
1186
 
9.0%
, 1104
 
8.4%
1 1028
 
7.8%
( 662
 
5.0%
) 661
 
5.0%
2 423
 
3.2%
3 401
 
3.0%
4 273
 
2.1%
Other values (16) 934
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13430
69.6%
Hangul 5856
30.4%
Number Forms 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5294
39.4%
: 1237
 
9.2%
1186
 
8.8%
, 1104
 
8.2%
1 1028
 
7.7%
( 662
 
4.9%
) 661
 
4.9%
2 423
 
3.1%
3 401
 
3.0%
4 273
 
2.0%
Other values (49) 1161
 
8.6%
Hangul
ValueCountFrequency (%)
급 507
 
8.7%
고 440
 
7.5%
등 438
 
7.5%
초 417
 
7.1%
중 301
 
5.1%
니 244
 
4.2%
르 238
 
4.1%
체 237
 
4.0%
술 204
 
3.5%
학 204
 
3.5%
Other values (190) 2626
44.8%
Number Forms
ValueCountFrequency (%)
Ⅰ 3
37.5%
Ⅱ 3
37.5%
Ⅲ 1
 
12.5%
Ⅳ 1
 
12.5%

수강료공개여부
Boolean

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size700.0 B
True
437 
False
131 
ValueCountFrequency (%)
True 437
76.9%
False 131
 
23.1%
2024-05-18T07:21:32.169782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기숙사학원여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.2%
Missing37
Missing (%)6.5%
Memory size1.2 KiB
False
531 
(Missing)
 
37
ValueCountFrequency (%)
False 531
93.5%
(Missing) 37
 
6.5%
2024-05-18T07:21:32.660618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

도로명우편번호
Real number (ℝ)

Distinct192
Distinct (%)33.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50296.548
Minimum2007
Maximum131881
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-05-18T07:21:33.289163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2007
5-th percentile2025.35
Q12069
median2194
Q3131818
95-th percentile131871.65
Maximum131881
Range129874
Interquartile range (IQR)129749

Descriptive statistics

Standard deviation62734.205
Coefficient of variation (CV)1.2472865
Kurtosis-1.7215871
Mean50296.548
Median Absolute Deviation (MAD)144
Skewness0.53336714
Sum28568439
Variance3.9355805 × 109
MonotonicityNot monotonic
2024-05-18T07:21:34.186742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2076 20
 
3.5%
2057 13
 
2.3%
2067 11
 
1.9%
2054 11
 
1.9%
2085 10
 
1.8%
131867 10
 
1.8%
2244 10
 
1.8%
2069 10
 
1.8%
131820 10
 
1.8%
2079 9
 
1.6%
Other values (182) 454
79.9%
ValueCountFrequency (%)
2007 5
0.9%
2008 2
 
0.4%
2013 2
 
0.4%
2014 1
 
0.2%
2017 1
 
0.2%
2019 1
 
0.2%
2020 1
 
0.2%
2021 6
1.1%
2023 3
0.5%
2024 5
0.9%
ValueCountFrequency (%)
131881 2
 
0.4%
131879 1
 
0.2%
131877 7
1.2%
131876 2
 
0.4%
131875 6
1.1%
131873 2
 
0.4%
131872 9
1.6%
131871 3
 
0.5%
131870 4
0.7%
131869 5
0.9%

등록상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
개원
568 

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 568
100.0%

Length

2024-05-18T07:21:34.847587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:21:35.257418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개원 568
100.0%

등록일자
Real number (ℝ)

Distinct529
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20130180
Minimum19841006
Maximum20240430
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-05-18T07:21:35.607934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19841006
5-th percentile19960195
Q120071097
median20150874
Q320200916
95-th percentile20231010
Maximum20240430
Range399424
Interquartile range (IQR)129819.25

Descriptive statistics

Standard deviation86291.92
Coefficient of variation (CV)0.0042866939
Kurtosis0.21126915
Mean20130180
Median Absolute Deviation (MAD)59839
Skewness-0.87209595
Sum1.1433942 × 1010
Variance7.4462954 × 109
MonotonicityNot monotonic
2024-05-18T07:21:36.387000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190130 3
 
0.5%
20201105 3
 
0.5%
20170323 2
 
0.4%
20110311 2
 
0.4%
20160408 2
 
0.4%
20090223 2
 
0.4%
20230927 2
 
0.4%
20151204 2
 
0.4%
20140425 2
 
0.4%
20101129 2
 
0.4%
Other values (519) 546
96.1%
ValueCountFrequency (%)
19841006 1
0.2%
19850201 1
0.2%
19850308 1
0.2%
19880719 1
0.2%
19880829 1
0.2%
19881102 1
0.2%
19890514 1
0.2%
19890911 1
0.2%
19891019 1
0.2%
19920225 1
0.2%
ValueCountFrequency (%)
20240430 1
0.2%
20240416 1
0.2%
20240412 1
0.2%
20240409 1
0.2%
20240404 1
0.2%
20240403 2
0.4%
20240402 2
0.4%
20240401 1
0.2%
20240229 1
0.2%
20240205 1
0.2%

휴원시작일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
<NA>
565 
20181015
 
1
20221024
 
1
20191226
 
1

Length

Max length8
Median length4
Mean length4.0211268
Min length4

Unique

Unique3 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 565
99.5%
20181015 1
 
0.2%
20221024 1
 
0.2%
20191226 1
 
0.2%

Length

2024-05-18T07:21:36.975113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:21:37.344884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 565
99.5%
20181015 1
 
0.2%
20221024 1
 
0.2%
20191226 1
 
0.2%

휴원종료일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
99991231
516 
<NA>
 
49
20181118
 
1
20221030
 
1
20200101
 
1

Length

Max length8
Median length8
Mean length7.6549296
Min length4

Unique

Unique3 ?
Unique (%)0.5%

Sample

1st row99991231
2nd row99991231
3rd row99991231
4th row99991231
5th row99991231

Common Values

ValueCountFrequency (%)
99991231 516
90.8%
<NA> 49
 
8.6%
20181118 1
 
0.2%
20221030 1
 
0.2%
20200101 1
 
0.2%

Length

2024-05-18T07:21:37.694428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:21:38.046693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
99991231 516
90.8%
na 49
 
8.6%
20181118 1
 
0.2%
20221030 1
 
0.2%
20200101 1
 
0.2%

개설일자
Real number (ℝ)

Distinct528
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20130849
Minimum19841006
Maximum20240501
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-05-18T07:21:38.422422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19841006
5-th percentile19960195
Q120080386
median20150970
Q320200916
95-th percentile20231010
Maximum20240501
Range399495
Interquartile range (IQR)120530.5

Descriptive statistics

Standard deviation85886.157
Coefficient of variation (CV)0.0042663951
Kurtosis0.26723477
Mean20130849
Median Absolute Deviation (MAD)59853.5
Skewness-0.88760428
Sum1.1434322 × 1010
Variance7.3764319 × 109
MonotonicityNot monotonic
2024-05-18T07:21:38.879824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20201105 3
 
0.5%
20190130 3
 
0.5%
20220930 2
 
0.4%
20120511 2
 
0.4%
20160408 2
 
0.4%
20220405 2
 
0.4%
20090223 2
 
0.4%
20110311 2
 
0.4%
20230927 2
 
0.4%
20151204 2
 
0.4%
Other values (518) 546
96.1%
ValueCountFrequency (%)
19841006 1
0.2%
19850201 1
0.2%
19850308 1
0.2%
19880719 1
0.2%
19880829 1
0.2%
19881102 1
0.2%
19890514 1
0.2%
19890911 1
0.2%
19891019 1
0.2%
19920225 1
0.2%
ValueCountFrequency (%)
20240501 1
0.2%
20240416 1
0.2%
20240412 1
0.2%
20240409 1
0.2%
20240404 1
0.2%
20240403 2
0.4%
20240402 2
0.4%
20240401 1
0.2%
20240304 1
0.2%
20240205 1
0.2%

적재일시
Real number (ℝ)

Distinct18
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20233205
Minimum20231018
Maximum20240512
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-05-18T07:21:39.264249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20231018
5-th percentile20231018
Q120231018
median20231018
Q320231226
95-th percentile20240428
Maximum20240512
Range9494
Interquartile range (IQR)207.75

Descriptive statistics

Standard deviation3929.5845
Coefficient of variation (CV)0.00019421463
Kurtosis-0.41381475
Mean20233205
Median Absolute Deviation (MAD)0
Skewness1.2592029
Sum1.149246 × 1010
Variance15441634
MonotonicityNot monotonic
2024-05-18T07:21:39.636589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
20231018 393
69.2%
20240128 30
 
5.3%
20240317 29
 
5.1%
20240225 18
 
3.2%
20240428 16
 
2.8%
20231224 11
 
1.9%
20240407 9
 
1.6%
20231231 9
 
1.6%
20240324 9
 
1.6%
20240505 9
 
1.6%
Other values (8) 35
 
6.2%
ValueCountFrequency (%)
20231018 393
69.2%
20231023 1
 
0.2%
20231029 1
 
0.2%
20231105 4
 
0.7%
20231119 5
 
0.9%
20231206 6
 
1.1%
20231217 5
 
0.9%
20231224 11
 
1.9%
20231231 9
 
1.6%
20240128 30
 
5.3%
ValueCountFrequency (%)
20240512 6
 
1.1%
20240505 9
 
1.6%
20240428 16
2.8%
20240407 9
 
1.6%
20240331 7
 
1.2%
20240324 9
 
1.6%
20240317 29
5.1%
20240225 18
3.2%
20240128 30
5.3%
20231231 9
 
1.6%

Sample

행정구역명학원/교습소학원지정번호학원명도로명주소도로명상세주소분야명교습계열명교습과정목록명교습과정명정원합계일시수용능력인원합계인당수강료내용수강료공개여부기숙사학원여부도로명우편번호등록상태명등록일자휴원시작일자휴원종료일자개설일자적재일시
0중랑구학원1000000293예맥보습학원서울특별시 중랑구 동일로151길 302층 (묵동)입시.검정 및 보습보통교과보습,보습069<NA>NN2008개원19881102<NA>999912311988110220231018
1중랑구학원1000000420세진보습학원서울특별시 중랑구 공릉로 582층4층일부 (묵동)입시.검정 및 보습보통교과<NA>보습?논술405110<NA>NN131848개원19880719<NA>999912311988071920231018
2중랑구학원1000000511금파음악학원서울특별시 중랑구 동일로101길 522층 (면목동)예능(대)예능(중)음악음악1179<NA>YN131823개원19880829<NA>999912311988082920240317
3중랑구학원1000000955필립학원서울특별시 중랑구 동일로129길 542층 (중화동)입시.검정 및 보습보통교과<NA>보습210105<NA>NN131881개원19890514<NA>999912311989051420231018
4중랑구학원1000001072클라라음악학원서울특별시 중랑구 겸재로3길 223층 (면목동)예능(대)예능(중)음악음악9032<NA>NN131820개원19890911<NA>999912311989091120240317
5중랑구학원1000001589대정보습학원서울특별시 중랑구 용마산로 389, 3층 (면목동,석주빌딩)입시.검정 및 보습보통교과보습,보습50134<NA>YN131812개원19920605<NA>999912311992060520231018
6중랑구학원1000001997정주피아노학원서울특별시 중랑구 동일로140길 163층일부 (중화동)예능(대)예능(중)음악,음악459<NA>NN131875개원19920225<NA>999912311992022520231018
7중랑구학원1000002058조숭지음악학원서울특별시 중랑구 동일로129길 22, 2층 (중화동)예능(대)예능(중)음악,음악4540<NA>NN2102개원19920918<NA>999912311992091820231018
8중랑구학원1000002222아리엘음악학원서울특별시 중랑구 용마산로 478, 3층일부 (망우동,영명빌딩)예능(대)예능(중)음악음악7056<NA>NN131806개원19931103<NA>999912311993110320240128
9중랑구학원1000002225새한음악학원서울특별시 중랑구 면목로27길 6, 2층 (면목동,대진빌딩)예능(대)예능(중)음악음악5657<NA>NN131830개원19931105<NA>999912311993110520231231
행정구역명학원/교습소학원지정번호학원명도로명주소도로명상세주소분야명교습계열명교습과정목록명교습과정명정원합계일시수용능력인원합계인당수강료내용수강료공개여부기숙사학원여부도로명우편번호등록상태명등록일자휴원시작일자휴원종료일자개설일자적재일시
558중랑구학원833이일용영어학원서울특별시 중랑구 겸재로3길 52, 2층 전체 (면목동, 중앙피아노)입시.검정 및 보습보통교과보습,보습3085<NA>YN2134개원20010430<NA>999912312001043020231018
559중랑구학원837삼성영어신내학원서울특별시 중랑구 신내로 51성원아파트 상가3층303호 (신내동)입시.검정 및 보습보통교과<NA>보습2071<NA>YN131783개원19960426<NA>999912311996042620231018
560중랑구교습소8474한신딩동댕음악교습소서울특별시 중랑구 동일로 752한신아파트 상가동 205호(중화동)예능(대)예능(중)피아노(바이엘초급)음악567피아노(바이엘초급):130000, 피아노(체르니100):140000, 피아노(체르니30):150000, 피아노(체르니40):160000, 바이엘+음악원론교육:140000, 체르니100+음악원론수업:160000, 체르니30+음악원론교육:180000, 체르니40+음악원론교육:200000NN131772개원20050205<NA>999912312005020520240128
561중랑구교습소8642피아노트리음악교습소서울특별시 중랑구 공릉로12가길 68-5, 2층 (묵동)예능(대)예능(중)<NA>음악369피아노 초급:140000, 피아노 중급:150000, 피아노 고급1:160000, 피아노 고급2:180000, (고급2)작품:180000YN2030개원20050310<NA>999912312005031020231018
562중랑구학원8651한양뮤즈음악학원서울특별시 중랑구 신내로 71, 4층 일부 (신내동559-2)예능(대)예능(중)<NA>음악6040<NA>NN131871개원20050314<NA>999912312005031420231018
563중랑구교습소8711오명조피아노음악교습소서울특별시 중랑구 공릉로18길 59, 101호 (묵동, 브라운스톤태릉아파트상가)예능(대)예능(중)<NA>음악164피아노(초급):140000, 피아노(중급):140000, 피아노(고급1):150000, 피아노(고급2):160000, 플룻_취미(고급):30000NN2020개원20050316<NA>999912312005031620231018
564중랑구교습소9323초록미술교습소서울특별시 중랑구 면목로57길 171층일부 (면목동)예능(대)예능(중)미술미술306미술:80000, 미술:90000, 미술:100000, 미술:110000, 미술:120000NN131818개원20050411<NA>999912312005041120231018
565중랑구학원9621초석학원서울특별시 중랑구 봉우재로6길 23, 3층 (면목동,홈마트)입시.검정 및 보습보통교과보습,보습18090<NA>YN131823개원20050502<NA>999912312005050220231224
566중랑구교습소9764김주령미술교습소서울특별시 중랑구 봉화산로 146쌍용엘지A상가 207호(상봉동)예능(대)예능(중)초등미술미술56초등미술:80000NN131793개원20050512<NA>999912312005051220231018
567중랑구학원9769예인보습학원서울특별시 중랑구 용마공원로 26, 2층 일부 (망우동)입시.검정 및 보습보통교과보습?논술,보습?논술416104<NA>YN2185개원20050504<NA>999912312005050420231018