Overview

Dataset statistics

Number of variables25
Number of observations3459
Missing cells13
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory716.2 KiB
Average record size in memory212.0 B

Variable types

Text8
Categorical11
Numeric6

Dataset

Description강원특별자치도교육청 교습소현황 자료입니다.교습소명, 분야구분, 교습계열, 주소, 교습비 등의 데이터를 제공합니다
Author강원특별자치도교육청
URLhttps://www.data.go.kr/data/15029550/fileData.do

Alerts

교재비 has constant value ""Constant
급식비 has constant value ""Constant
간식비 has constant value ""Constant
기숙사비 has constant value ""Constant
피복비 has constant value ""Constant
등록상태 is highly imbalanced (93.2%)Imbalance
교습과정 is highly imbalanced (51.5%)Imbalance
교습기간 is highly imbalanced (71.8%)Imbalance
차량비 is highly imbalanced (97.9%)Imbalance
일시수용능력인원 has 97 (2.8%) zerosZeros
정원합계 has 305 (8.8%) zerosZeros
모의고사비 has 3425 (99.0%) zerosZeros
재료비 has 3248 (93.9%) zerosZeros
기타경비합계 has 3208 (92.7%) zerosZeros

Reproduction

Analysis started2024-03-14 18:09:19.693544
Analysis finished2024-03-14 18:09:21.486154
Duration1.79 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct787
Distinct (%)22.8%
Missing0
Missing (%)0.0%
Memory size27.1 KiB
2024-03-15T03:09:22.077733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length34
Mean length10.156982
Min length4

Characters and Unicode

Total characters35133
Distinct characters506
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)1.6%

Sample

1st row3030영어석사우석러닝센터영어교습소
2nd row3030영어석사우석러닝센터영어교습소
3rd row3030영어석사우석러닝센터영어교습소
4th rowE-탑영어교습소
5th rowE-탑영어교습소
ValueCountFrequency (%)
교습소 72
 
1.9%
영어교습소 30
 
0.8%
english 27
 
0.7%
피아노스토리음악교습소 26
 
0.7%
리스트음악교습소 23
 
0.6%
english)교습소 19
 
0.5%
함영호수학교습소 19
 
0.5%
유수학교습소 19
 
0.5%
에스탑수학교습소 18
 
0.5%
제이씨중국어교습소 18
 
0.5%
Other values (827) 3565
92.9%
2024-03-15T03:09:23.294638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3567
 
10.2%
3544
 
10.1%
3446
 
9.8%
1107
 
3.2%
945
 
2.7%
933
 
2.7%
907
 
2.6%
876
 
2.5%
712
 
2.0%
690
 
2.0%
Other values (496) 18406
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31891
90.8%
Lowercase Letter 1218
 
3.5%
Uppercase Letter 980
 
2.8%
Space Separator 380
 
1.1%
Open Punctuation 247
 
0.7%
Close Punctuation 247
 
0.7%
Other Punctuation 86
 
0.2%
Decimal Number 69
 
0.2%
Dash Punctuation 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3567
 
11.2%
3544
 
11.1%
3446
 
10.8%
1107
 
3.5%
945
 
3.0%
933
 
2.9%
907
 
2.8%
876
 
2.7%
712
 
2.2%
690
 
2.2%
Other values (436) 15164
47.5%
Uppercase Letter
ValueCountFrequency (%)
E 144
14.7%
M 86
 
8.8%
S 82
 
8.4%
I 71
 
7.2%
A 65
 
6.6%
T 65
 
6.6%
G 62
 
6.3%
H 62
 
6.3%
L 51
 
5.2%
N 49
 
5.0%
Other values (14) 243
24.8%
Lowercase Letter
ValueCountFrequency (%)
i 147
12.1%
n 137
11.2%
e 119
9.8%
h 118
9.7%
a 91
7.5%
s 88
 
7.2%
l 84
 
6.9%
g 78
 
6.4%
t 72
 
5.9%
r 64
 
5.3%
Other values (12) 220
18.1%
Other Punctuation
ValueCountFrequency (%)
. 23
26.7%
· 19
22.1%
' 16
18.6%
& 15
17.4%
, 13
15.1%
Decimal Number
ValueCountFrequency (%)
0 19
27.5%
1 16
23.2%
3 16
23.2%
4 13
18.8%
2 5
 
7.2%
Space Separator
ValueCountFrequency (%)
380
100.0%
Open Punctuation
ValueCountFrequency (%)
( 247
100.0%
Close Punctuation
ValueCountFrequency (%)
) 247
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31870
90.7%
Latin 2198
 
6.3%
Common 1044
 
3.0%
Han 21
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3567
 
11.2%
3544
 
11.1%
3446
 
10.8%
1107
 
3.5%
945
 
3.0%
933
 
2.9%
907
 
2.8%
876
 
2.7%
712
 
2.2%
690
 
2.2%
Other values (431) 15143
47.5%
Latin
ValueCountFrequency (%)
i 147
 
6.7%
E 144
 
6.6%
n 137
 
6.2%
e 119
 
5.4%
h 118
 
5.4%
a 91
 
4.1%
s 88
 
4.0%
M 86
 
3.9%
l 84
 
3.8%
S 82
 
3.7%
Other values (36) 1102
50.1%
Common
ValueCountFrequency (%)
380
36.4%
( 247
23.7%
) 247
23.7%
. 23
 
2.2%
0 19
 
1.8%
· 19
 
1.8%
1 16
 
1.5%
3 16
 
1.5%
' 16
 
1.5%
& 15
 
1.4%
Other values (4) 46
 
4.4%
Han
ValueCountFrequency (%)
6
28.6%
6
28.6%
3
14.3%
3
14.3%
3
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31867
90.7%
ASCII 3223
 
9.2%
None 19
 
0.1%
CJK 18
 
0.1%
CJK Compat Ideographs 3
 
< 0.1%
Compat Jamo 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
3567
 
11.2%
3544
 
11.1%
3446
 
10.8%
1107
 
3.5%
945
 
3.0%
933
 
2.9%
907
 
2.8%
876
 
2.7%
712
 
2.2%
690
 
2.2%
Other values (430) 15140
47.5%
ASCII
ValueCountFrequency (%)
380
 
11.8%
( 247
 
7.7%
) 247
 
7.7%
i 147
 
4.6%
E 144
 
4.5%
n 137
 
4.3%
e 119
 
3.7%
h 118
 
3.7%
a 91
 
2.8%
s 88
 
2.7%
Other values (49) 1505
46.7%
None
ValueCountFrequency (%)
· 19
100.0%
CJK
ValueCountFrequency (%)
6
33.3%
6
33.3%
3
16.7%
3
16.7%
CJK Compat Ideographs
ValueCountFrequency (%)
3
100.0%
Compat Jamo
ValueCountFrequency (%)
3
100.0%
Distinct763
Distinct (%)22.1%
Missing1
Missing (%)< 0.1%
Memory size27.1 KiB
2024-03-15T03:09:24.637029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.0211105
Min length2

Characters and Unicode

Total characters10447
Distinct characters208
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)1.6%

Sample

1st row박창희
2nd row박창희
3rd row박창희
4th row이용목
5th row이용목
ValueCountFrequency (%)
김은아 23
 
0.7%
이학희 23
 
0.7%
차정화 20
 
0.6%
유수한 19
 
0.5%
함영호 19
 
0.5%
황인철 18
 
0.5%
김미정 18
 
0.5%
김동화 18
 
0.5%
김현숙 18
 
0.5%
고유진 16
 
0.5%
Other values (757) 3291
94.5%
2024-03-15T03:09:26.767277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
690
 
6.6%
594
 
5.7%
538
 
5.1%
387
 
3.7%
379
 
3.6%
350
 
3.4%
341
 
3.3%
332
 
3.2%
247
 
2.4%
224
 
2.1%
Other values (198) 6365
60.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10383
99.4%
Space Separator 32
 
0.3%
Uppercase Letter 32
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
690
 
6.6%
594
 
5.7%
538
 
5.2%
387
 
3.7%
379
 
3.7%
350
 
3.4%
341
 
3.3%
332
 
3.2%
247
 
2.4%
224
 
2.2%
Other values (191) 6301
60.7%
Uppercase Letter
ValueCountFrequency (%)
I 12
37.5%
S 4
 
12.5%
H 4
 
12.5%
L 4
 
12.5%
J 4
 
12.5%
E 4
 
12.5%
Space Separator
ValueCountFrequency (%)
32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10383
99.4%
Common 32
 
0.3%
Latin 32
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
690
 
6.6%
594
 
5.7%
538
 
5.2%
387
 
3.7%
379
 
3.7%
350
 
3.4%
341
 
3.3%
332
 
3.2%
247
 
2.4%
224
 
2.2%
Other values (191) 6301
60.7%
Latin
ValueCountFrequency (%)
I 12
37.5%
S 4
 
12.5%
H 4
 
12.5%
L 4
 
12.5%
J 4
 
12.5%
E 4
 
12.5%
Common
ValueCountFrequency (%)
32
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10383
99.4%
ASCII 64
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
690
 
6.6%
594
 
5.7%
538
 
5.2%
387
 
3.7%
379
 
3.7%
350
 
3.4%
341
 
3.3%
332
 
3.2%
247
 
2.4%
224
 
2.2%
Other values (191) 6301
60.7%
ASCII
ValueCountFrequency (%)
32
50.0%
I 12
 
18.8%
S 4
 
6.2%
H 4
 
6.2%
L 4
 
6.2%
J 4
 
6.2%
E 4
 
6.2%

등록상태
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.1 KiB
개원
3431 
자진휴원(소)
 
28

Length

Max length7
Median length2
Mean length2.0404741
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개원 3431
99.2%
자진휴원(소) 28
 
0.8%

Length

2024-03-15T03:09:27.244539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:09:27.623077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개원 3431
99.2%
자진휴원(소 28
 
0.8%
Distinct797
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Memory size27.1 KiB
2024-03-15T03:09:29.115292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length47
Mean length34.44059
Min length20

Characters and Unicode

Total characters119130
Distinct characters358
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

Unique55 ?
Unique (%)1.6%

Sample

1st row강원도 춘천시 후석로186번길 9 , 상가동 205호, 206호 (석사동, 진흥아파트)
2nd row강원도 춘천시 후석로186번길 9 , 상가동 205호, 206호 (석사동, 진흥아파트)
3rd row강원도 춘천시 후석로186번길 9 , 상가동 205호, 206호 (석사동, 진흥아파트)
4th row강원도 춘천시 춘주로 150 , 상가동 204호 (퇴계동, 현진아파트)
5th row강원도 춘천시 춘주로 150 , 상가동 204호 (퇴계동, 현진아파트)
ValueCountFrequency (%)
강원특별자치도 2359
 
9.9%
1731
 
7.3%
강원도 1092
 
4.6%
춘천시 985
 
4.1%
원주시 899
 
3.8%
강릉시 818
 
3.4%
1층 423
 
1.8%
상가동 418
 
1.8%
2층 375
 
1.6%
석사동 222
 
0.9%
Other values (1262) 14481
60.8%
2024-03-15T03:09:30.786614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20423
 
17.1%
4720
 
4.0%
4598
 
3.9%
1 4337
 
3.6%
2 4182
 
3.5%
3885
 
3.3%
3574
 
3.0%
3276
 
2.7%
( 3200
 
2.7%
) 3200
 
2.7%
Other values (348) 63735
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69671
58.5%
Space Separator 20423
 
17.1%
Decimal Number 18737
 
15.7%
Open Punctuation 3200
 
2.7%
Close Punctuation 3200
 
2.7%
Other Punctuation 2936
 
2.5%
Dash Punctuation 877
 
0.7%
Uppercase Letter 68
 
0.1%
Math Symbol 13
 
< 0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4720
 
6.8%
4598
 
6.6%
3885
 
5.6%
3574
 
5.1%
3276
 
4.7%
2471
 
3.5%
2403
 
3.4%
2385
 
3.4%
2364
 
3.4%
2359
 
3.4%
Other values (322) 37636
54.0%
Decimal Number
ValueCountFrequency (%)
1 4337
23.1%
2 4182
22.3%
0 2433
13.0%
3 1938
10.3%
4 1379
 
7.4%
5 1096
 
5.8%
6 1071
 
5.7%
7 841
 
4.5%
9 814
 
4.3%
8 646
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
C 24
35.3%
S 17
25.0%
K 12
17.6%
D 7
 
10.3%
E 3
 
4.4%
L 3
 
4.4%
B 2
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 2929
99.8%
/ 4
 
0.1%
. 3
 
0.1%
Space Separator
ValueCountFrequency (%)
20423
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3200
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3200
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 877
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 69671
58.5%
Common 49386
41.5%
Latin 73
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4720
 
6.8%
4598
 
6.6%
3885
 
5.6%
3574
 
5.1%
3276
 
4.7%
2471
 
3.5%
2403
 
3.4%
2385
 
3.4%
2364
 
3.4%
2359
 
3.4%
Other values (322) 37636
54.0%
Common
ValueCountFrequency (%)
20423
41.4%
1 4337
 
8.8%
2 4182
 
8.5%
( 3200
 
6.5%
) 3200
 
6.5%
, 2929
 
5.9%
0 2433
 
4.9%
3 1938
 
3.9%
4 1379
 
2.8%
5 1096
 
2.2%
Other values (8) 4269
 
8.6%
Latin
ValueCountFrequency (%)
C 24
32.9%
S 17
23.3%
K 12
16.4%
D 7
 
9.6%
e 5
 
6.8%
E 3
 
4.1%
L 3
 
4.1%
B 2
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69671
58.5%
ASCII 49459
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20423
41.3%
1 4337
 
8.8%
2 4182
 
8.5%
( 3200
 
6.5%
) 3200
 
6.5%
, 2929
 
5.9%
0 2433
 
4.9%
3 1938
 
3.9%
4 1379
 
2.8%
5 1096
 
2.2%
Other values (16) 4342
 
8.8%
Hangul
ValueCountFrequency (%)
4720
 
6.8%
4598
 
6.6%
3885
 
5.6%
3574
 
5.1%
3276
 
4.7%
2471
 
3.5%
2403
 
3.4%
2385
 
3.4%
2364
 
3.4%
2359
 
3.4%
Other values (322) 37636
54.0%

일시수용능력인원
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.8765539
Minimum0
Maximum72
Zeros97
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size30.5 KiB
2024-03-15T03:09:31.187157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q15
median7
Q39
95-th percentile9
Maximum72
Range72
Interquartile range (IQR)4

Descriptive statistics

Standard deviation6.3962623
Coefficient of variation (CV)0.81206354
Kurtosis36.27028
Mean7.8765539
Median Absolute Deviation (MAD)2
Skewness5.2170912
Sum27245
Variance40.912171
MonotonicityNot monotonic
2024-03-15T03:09:31.564903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
9 1284
37.1%
5 663
19.2%
6 370
 
10.7%
4 303
 
8.8%
8 263
 
7.6%
7 231
 
6.7%
0 97
 
2.8%
3 66
 
1.9%
40 21
 
0.6%
30 20
 
0.6%
Other values (20) 141
 
4.1%
ValueCountFrequency (%)
0 97
 
2.8%
1 4
 
0.1%
2 15
 
0.4%
3 66
 
1.9%
4 303
 
8.8%
5 663
19.2%
6 370
 
10.7%
7 231
 
6.7%
8 263
 
7.6%
9 1284
37.1%
ValueCountFrequency (%)
72 8
 
0.2%
54 4
 
0.1%
50 6
 
0.2%
45 5
 
0.1%
42 2
 
0.1%
40 21
0.6%
36 16
0.5%
30 20
0.6%
28 10
0.3%
27 15
0.4%

정원합계
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.998554
Minimum0
Maximum310
Zeros305
Zeros (%)8.8%
Negative0
Negative (%)0.0%
Memory size30.5 KiB
2024-03-15T03:09:31.831109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120
median35
Q354
95-th percentile135
Maximum310
Range310
Interquartile range (IQR)34

Descriptive statistics

Standard deviation45.945088
Coefficient of variation (CV)0.99883765
Kurtosis10.317487
Mean45.998554
Median Absolute Deviation (MAD)17
Skewness2.735651
Sum159109
Variance2110.9511
MonotonicityNot monotonic
2024-03-15T03:09:32.100878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 305
 
8.8%
27 226
 
6.5%
45 187
 
5.4%
36 185
 
5.3%
18 178
 
5.1%
30 155
 
4.5%
35 116
 
3.4%
40 114
 
3.3%
24 108
 
3.1%
15 106
 
3.1%
Other values (80) 1779
51.4%
ValueCountFrequency (%)
0 305
8.8%
2 4
 
0.1%
3 1
 
< 0.1%
4 2
 
0.1%
5 2
 
0.1%
6 13
 
0.4%
7 2
 
0.1%
8 8
 
0.2%
9 15
 
0.4%
10 26
 
0.8%
ValueCountFrequency (%)
310 19
0.5%
300 16
0.5%
207 23
0.7%
189 18
0.5%
184 4
 
0.1%
180 1
 
< 0.1%
179 8
 
0.2%
175 7
 
0.2%
162 16
0.5%
161 10
0.3%

분야구분
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.1 KiB
입시.검정 및 보습
1856 
예능(대)
1393 
국제화
 
149
기타(대)
 
52
정보
 
9

Length

Max length10
Median length10
Mean length7.5888985
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row입시.검정 및 보습
2nd row입시.검정 및 보습
3rd row입시.검정 및 보습
4th row입시.검정 및 보습
5th row입시.검정 및 보습

Common Values

ValueCountFrequency (%)
입시.검정 및 보습 1856
53.7%
예능(대) 1393
40.3%
국제화 149
 
4.3%
기타(대) 52
 
1.5%
정보 9
 
0.3%

Length

2024-03-15T03:09:32.447822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:09:32.658368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
입시.검정 1856
25.9%
1856
25.9%
보습 1856
25.9%
예능(대 1393
19.4%
국제화 149
 
2.1%
기타(대 52
 
0.7%
정보 9
 
0.1%

교습계열
Categorical

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size27.1 KiB
보통교과
1729 
예능(중)
1348 
<NA>
191 
외국어
 
136
기타(중)
 
46

Length

Max length5
Median length4
Mean length4.3584851
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
보통교과 1729
50.0%
예능(중) 1348
39.0%
<NA> 191
 
5.5%
외국어 136
 
3.9%
기타(중) 46
 
1.3%
정보 9
 
0.3%

Length

2024-03-15T03:09:32.984438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:09:33.181755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보통교과 1729
50.0%
예능(중 1348
39.0%
na 191
 
5.5%
외국어 136
 
3.9%
기타(중 46
 
1.3%
정보 9
 
0.3%

교습과정
Categorical

IMBALANCE 

Distinct24
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size27.1 KiB
보습
1578 
음악
993 
미술
344 
<NA>
191 
실용외국어(유아/초·중·고)
 
136
Other values (19)
217 

Length

Max length15
Median length2
Mean length2.7386528
Min length2

Unique

Unique4 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
보습 1578
45.6%
음악 993
28.7%
미술 344
 
9.9%
<NA> 191
 
5.5%
실용외국어(유아/초·중·고) 136
 
3.9%
보습·논술 76
 
2.2%
입시 46
 
1.3%
보통교과 20
 
0.6%
예능(중) 11
 
0.3%
컴퓨터(소) 10
 
0.3%
Other values (14) 54
 
1.6%

Length

2024-03-15T03:09:33.457615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
보습 1578
45.6%
음악 993
28.7%
미술 344
 
9.9%
na 191
 
5.5%
실용외국어(유아/초·중·고 136
 
3.9%
보습·논술 76
 
2.2%
입시 46
 
1.3%
보통교과 20
 
0.6%
예능(중 11
 
0.3%
컴퓨터(소 10
 
0.3%
Other values (14) 54
 
1.6%
Distinct1586
Distinct (%)46.0%
Missing12
Missing (%)0.3%
Memory size27.1 KiB
2024-03-15T03:09:34.584749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length20
Mean length6.0713664
Min length2

Characters and Unicode

Total characters20928
Distinct characters301
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

Unique1208 ?
Unique (%)35.0%

Sample

1st row영어(초등:기초파닉스)
2nd row영어(초등A)
3rd row영어(초등B)
4th row고등영어
5th row중등영어
ValueCountFrequency (%)
수학 83
 
2.2%
수학(중등 72
 
1.9%
피아노(중급 69
 
1.8%
피아노(초급 65
 
1.7%
피아노(고급 64
 
1.7%
초등 64
 
1.7%
영어(중등 61
 
1.6%
수학(초등 59
 
1.5%
중등 58
 
1.5%
영어(초등 57
 
1.5%
Other values (1446) 3180
83.0%
2024-03-15T03:09:36.267183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 1794
 
8.6%
) 1791
 
8.6%
1617
 
7.7%
1040
 
5.0%
945
 
4.5%
861
 
4.1%
834
 
4.0%
799
 
3.8%
708
 
3.4%
690
 
3.3%
Other values (291) 9849
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14372
68.7%
Open Punctuation 1794
 
8.6%
Close Punctuation 1791
 
8.6%
Decimal Number 1172
 
5.6%
Uppercase Letter 770
 
3.7%
Lowercase Letter 423
 
2.0%
Space Separator 386
 
1.8%
Other Punctuation 122
 
0.6%
Math Symbol 48
 
0.2%
Dash Punctuation 27
 
0.1%
Other values (2) 23
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1617
 
11.3%
1040
 
7.2%
945
 
6.6%
861
 
6.0%
834
 
5.8%
799
 
5.6%
708
 
4.9%
690
 
4.8%
624
 
4.3%
596
 
4.1%
Other values (219) 5658
39.4%
Lowercase Letter
ValueCountFrequency (%)
e 74
17.5%
i 40
9.5%
a 39
9.2%
l 34
 
8.0%
r 30
 
7.1%
n 29
 
6.9%
t 27
 
6.4%
p 21
 
5.0%
c 21
 
5.0%
s 21
 
5.0%
Other values (13) 87
20.6%
Uppercase Letter
ValueCountFrequency (%)
B 238
30.9%
A 238
30.9%
C 122
15.8%
D 44
 
5.7%
E 30
 
3.9%
F 13
 
1.7%
S 11
 
1.4%
P 9
 
1.2%
H 8
 
1.0%
T 8
 
1.0%
Other values (12) 49
 
6.4%
Decimal Number
ValueCountFrequency (%)
3 275
23.5%
1 242
20.6%
2 241
20.6%
0 168
14.3%
4 110
 
9.4%
5 92
 
7.8%
6 25
 
2.1%
8 8
 
0.7%
7 7
 
0.6%
9 4
 
0.3%
Other Punctuation
ValueCountFrequency (%)
, 84
68.9%
/ 21
 
17.2%
& 6
 
4.9%
* 4
 
3.3%
· 3
 
2.5%
: 3
 
2.5%
. 1
 
0.8%
Letter Number
ValueCountFrequency (%)
5
45.5%
5
45.5%
1
 
9.1%
Math Symbol
ValueCountFrequency (%)
~ 47
97.9%
+ 1
 
2.1%
Open Punctuation
ValueCountFrequency (%)
( 1794
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1791
100.0%
Space Separator
ValueCountFrequency (%)
386
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14372
68.7%
Common 5352
 
25.6%
Latin 1204
 
5.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1617
 
11.3%
1040
 
7.2%
945
 
6.6%
861
 
6.0%
834
 
5.8%
799
 
5.6%
708
 
4.9%
690
 
4.8%
624
 
4.3%
596
 
4.1%
Other values (219) 5658
39.4%
Latin
ValueCountFrequency (%)
B 238
19.8%
A 238
19.8%
C 122
 
10.1%
e 74
 
6.1%
D 44
 
3.7%
i 40
 
3.3%
a 39
 
3.2%
l 34
 
2.8%
r 30
 
2.5%
E 30
 
2.5%
Other values (38) 315
26.2%
Common
ValueCountFrequency (%)
( 1794
33.5%
) 1791
33.5%
386
 
7.2%
3 275
 
5.1%
1 242
 
4.5%
2 241
 
4.5%
0 168
 
3.1%
4 110
 
2.1%
5 92
 
1.7%
, 84
 
1.6%
Other values (14) 169
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14372
68.7%
ASCII 6542
31.3%
Number Forms 11
 
0.1%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 1794
27.4%
) 1791
27.4%
386
 
5.9%
3 275
 
4.2%
1 242
 
3.7%
2 241
 
3.7%
B 238
 
3.6%
A 238
 
3.6%
0 168
 
2.6%
C 122
 
1.9%
Other values (58) 1047
16.0%
Hangul
ValueCountFrequency (%)
1617
 
11.3%
1040
 
7.2%
945
 
6.6%
861
 
6.0%
834
 
5.8%
799
 
5.6%
708
 
4.9%
690
 
4.8%
624
 
4.3%
596
 
4.1%
Other values (219) 5658
39.4%
Number Forms
ValueCountFrequency (%)
5
45.5%
5
45.5%
1
 
9.1%
None
ValueCountFrequency (%)
· 3
100.0%

교습기간
Categorical

IMBALANCE 

Distinct21
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size27.1 KiB
1개월 0일
2624 
0개월 0일
593 
0개월 21일
 
86
0개월 8일
 
29
0개월 12일
 
24
Other values (16)
 
103

Length

Max length9
Median length6
Mean length6.0456779
Min length4

Unique

Unique4 ?
Unique (%)0.1%

Sample

1st row0개월 0일
2nd row0개월 0일
3rd row0개월 0일
4th row0개월 0일
5th row0개월 0일

Common Values

ValueCountFrequency (%)
1개월 0일 2624
75.9%
0개월 0일 593
 
17.1%
0개월 21일 86
 
2.5%
0개월 8일 29
 
0.8%
0개월 12일 24
 
0.7%
12개월 0일 14
 
0.4%
0개월 20일 14
 
0.4%
개월 일 12
 
0.3%
0개월 4일 11
 
0.3%
1개월 20일 10
 
0.3%
Other values (11) 42
 
1.2%

Length

2024-03-15T03:09:36.691936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0일 3237
46.8%
1개월 2643
38.2%
0개월 784
 
11.3%
21일 94
 
1.4%
8일 29
 
0.4%
12일 24
 
0.3%
20일 24
 
0.3%
12개월 14
 
0.2%
개월 12
 
0.2%
12
 
0.2%
Other values (11) 45
 
0.7%

총교습기간(분)
Real number (ℝ)

Distinct222
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1143.7213
Minimum0
Maximum20116
Zeros21
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size30.5 KiB
2024-03-15T03:09:37.046456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile378
Q1840
median1134
Q31260
95-th percentile1890
Maximum20116
Range20116
Interquartile range (IQR)420

Descriptive statistics

Standard deviation609.27005
Coefficient of variation (CV)0.53270849
Kurtosis277.49342
Mean1143.7213
Median Absolute Deviation (MAD)210
Skewness9.9821999
Sum3956132
Variance371209.99
MonotonicityNot monotonic
2024-03-15T03:09:37.313624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1260 623
18.0%
1008 318
 
9.2%
1512 262
 
7.6%
756 216
 
6.2%
1050 215
 
6.2%
1134 213
 
6.2%
504 121
 
3.5%
1890 92
 
2.7%
840 70
 
2.0%
882 62
 
1.8%
Other values (212) 1267
36.6%
ValueCountFrequency (%)
0 21
0.6%
1 1
 
< 0.1%
42 1
 
< 0.1%
60 8
 
0.2%
70 1
 
< 0.1%
80 2
 
0.1%
84 1
 
< 0.1%
90 1
 
< 0.1%
100 2
 
0.1%
115 1
 
< 0.1%
ValueCountFrequency (%)
20116 1
 
< 0.1%
6300 1
 
< 0.1%
5040 4
0.1%
5000 3
0.1%
4500 4
0.1%
4032 3
0.1%
3780 3
0.1%
3600 1
 
< 0.1%
3276 1
 
< 0.1%
3150 2
0.1%
Distinct226
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size27.1 KiB
2024-03-15T03:09:38.271146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.8667245
Min length2

Characters and Unicode

Total characters23752
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)3.3%

Sample

1st row180000
2nd row210000
3rd row220000
4th row250000
5th row200000
ValueCountFrequency (%)
150000 329
 
9.5%
200000 256
 
7.4%
250000 217
 
6.3%
130000 203
 
5.9%
160000 184
 
5.3%
140000 168
 
4.9%
180000 167
 
4.8%
120000 148
 
4.3%
170000 137
 
4.0%
300000 132
 
3.8%
Other values (215) 1518
43.9%
2024-03-15T03:09:39.496085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 13981
58.9%
3458
 
14.6%
1 1900
 
8.0%
2 1318
 
5.5%
5 854
 
3.6%
3 666
 
2.8%
4 416
 
1.8%
8 356
 
1.5%
6 355
 
1.5%
7 247
 
1.0%
Other values (3) 201
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20292
85.4%
Space Separator 3458
 
14.6%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 13981
68.9%
1 1900
 
9.4%
2 1318
 
6.5%
5 854
 
4.2%
3 666
 
3.3%
4 416
 
2.1%
8 356
 
1.8%
6 355
 
1.7%
7 247
 
1.2%
9 199
 
1.0%
Space Separator
ValueCountFrequency (%)
3458
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 23752
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 13981
58.9%
3458
 
14.6%
1 1900
 
8.0%
2 1318
 
5.5%
5 854
 
3.6%
3 666
 
2.8%
4 416
 
1.8%
8 356
 
1.5%
6 355
 
1.5%
7 247
 
1.0%
Other values (3) 201
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23752
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 13981
58.9%
3458
 
14.6%
1 1900
 
8.0%
2 1318
 
5.5%
5 854
 
3.6%
3 666
 
2.8%
4 416
 
1.8%
8 356
 
1.5%
6 355
 
1.5%
7 247
 
1.0%
Other values (3) 201
 
0.8%
Distinct477
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size27.1 KiB
2024-03-15T03:09:40.608899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length4.5938132
Min length2

Characters and Unicode

Total characters15890
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique276 ?
Unique (%)8.0%

Sample

1st row9000
2nd row10500
3rd row11000
4th row9921
5th row7937
ValueCountFrequency (%)
0 840
24.3%
9524 194
 
5.6%
11905 167
 
4.8%
7143 114
 
3.3%
8571 95
 
2.7%
7937 60
 
1.7%
10714 60
 
1.7%
7619 57
 
1.6%
8929 54
 
1.6%
6667 49
 
1.4%
Other values (467) 1769
51.1%
2024-03-15T03:09:42.142387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3458
21.8%
1 2364
14.9%
0 2294
14.4%
9 1426
9.0%
7 998
 
6.3%
5 994
 
6.3%
2 948
 
6.0%
4 905
 
5.7%
3 893
 
5.6%
8 866
 
5.4%
Other values (3) 744
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12430
78.2%
Space Separator 3458
 
21.8%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2364
19.0%
0 2294
18.5%
9 1426
11.5%
7 998
8.0%
5 994
8.0%
2 948
7.6%
4 905
 
7.3%
3 893
 
7.2%
8 866
 
7.0%
6 742
 
6.0%
Space Separator
ValueCountFrequency (%)
3458
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15890
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3458
21.8%
1 2364
14.9%
0 2294
14.4%
9 1426
9.0%
7 998
 
6.3%
5 994
 
6.3%
2 948
 
6.0%
4 905
 
5.7%
3 893
 
5.6%
8 866
 
5.4%
Other values (3) 744
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15890
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3458
21.8%
1 2364
14.9%
0 2294
14.4%
9 1426
9.0%
7 998
 
6.3%
5 994
 
6.3%
2 948
 
6.0%
4 905
 
5.7%
3 893
 
5.6%
8 866
 
5.4%
Other values (3) 744
 
4.7%

교재비
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size27.1 KiB
0
3459 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3459
100.0%

Length

2024-03-15T03:09:42.421737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:09:42.633807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3459
100.0%

모의고사비
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean992.77248
Minimum0
Maximum330000
Zeros3425
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size30.5 KiB
2024-03-15T03:09:42.881655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum330000
Range330000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13473.909
Coefficient of variation (CV)13.572001
Kurtosis280.91103
Mean992.77248
Median Absolute Deviation (MAD)0
Skewness16.136031
Sum3434000
Variance1.8154622 × 108
MonotonicityNot monotonic
2024-03-15T03:09:43.243156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 3425
99.0%
30000 9
 
0.3%
10000 5
 
0.1%
200000 5
 
0.1%
50000 4
 
0.1%
180000 2
 
0.1%
14000 1
 
< 0.1%
40000 1
 
< 0.1%
330000 1
 
< 0.1%
260000 1
 
< 0.1%
Other values (5) 5
 
0.1%
ValueCountFrequency (%)
0 3425
99.0%
10000 5
 
0.1%
14000 1
 
< 0.1%
30000 9
 
0.3%
40000 1
 
< 0.1%
50000 4
 
0.1%
150000 1
 
< 0.1%
160000 1
 
< 0.1%
170000 1
 
< 0.1%
180000 2
 
0.1%
ValueCountFrequency (%)
330000 1
 
< 0.1%
260000 1
 
< 0.1%
220000 1
 
< 0.1%
210000 1
 
< 0.1%
200000 5
0.1%
180000 2
 
0.1%
170000 1
 
< 0.1%
160000 1
 
< 0.1%
150000 1
 
< 0.1%
50000 4
0.1%

재료비
Real number (ℝ)

ZEROS 

Distinct67
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1564.6953
Minimum0
Maximum142000
Zeros3248
Zeros (%)93.9%
Negative0
Negative (%)0.0%
Memory size30.5 KiB
2024-03-15T03:09:43.611084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10000
Maximum142000
Range142000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7898.1254
Coefficient of variation (CV)5.0477083
Kurtosis72.78524
Mean1564.6953
Median Absolute Deviation (MAD)0
Skewness7.330706
Sum5412281
Variance62380385
MonotonicityNot monotonic
2024-03-15T03:09:44.159616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3248
93.9%
20000 34
 
1.0%
30000 21
 
0.6%
15000 17
 
0.5%
10000 13
 
0.4%
6000 10
 
0.3%
50 9
 
0.3%
5000 9
 
0.3%
36500 7
 
0.2%
35000 5
 
0.1%
Other values (57) 86
 
2.5%
ValueCountFrequency (%)
0 3248
93.9%
50 9
 
0.3%
3000 1
 
< 0.1%
4000 1
 
< 0.1%
5000 9
 
0.3%
6000 10
 
0.3%
7000 1
 
< 0.1%
9000 3
 
0.1%
10000 13
 
0.4%
10400 1
 
< 0.1%
ValueCountFrequency (%)
142000 1
 
< 0.1%
102000 2
0.1%
91000 1
 
< 0.1%
80000 3
0.1%
75000 1
 
< 0.1%
62000 1
 
< 0.1%
60000 1
 
< 0.1%
58000 1
 
< 0.1%
57840 1
 
< 0.1%
57000 1
 
< 0.1%

급식비
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size27.1 KiB
0
3459 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3459
100.0%

Length

2024-03-15T03:09:44.403334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:09:44.574387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3459
100.0%

간식비
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size27.1 KiB
0
3459 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3459
100.0%

Length

2024-03-15T03:09:44.755453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:09:45.048928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3459
100.0%

기숙사비
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size27.1 KiB
0
3459 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3459
100.0%

Length

2024-03-15T03:09:45.384639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:09:45.743151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3459
100.0%

차량비
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.1 KiB
0
3443 
35000
 
7
10000
 
7
3
 
1
9
 
1

Length

Max length5
Median length1
Mean length1.0161897
Min length1

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3443
99.5%
35000 7
 
0.2%
10000 7
 
0.2%
3 1
 
< 0.1%
9 1
 
< 0.1%

Length

2024-03-15T03:09:46.082677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:09:46.420714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3443
99.5%
35000 7
 
0.2%
10000 7
 
0.2%
3 1
 
< 0.1%
9 1
 
< 0.1%

피복비
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size27.1 KiB
0
3459 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3459
100.0%

Length

2024-03-15T03:09:46.616974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:09:46.785725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3459
100.0%

기타경비합계
Real number (ℝ)

ZEROS 

Distinct79
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2648.538
Minimum0
Maximum330000
Zeros3208
Zeros (%)92.7%
Negative0
Negative (%)0.0%
Memory size30.5 KiB
2024-03-15T03:09:47.019076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile15000
Maximum330000
Range330000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15722.313
Coefficient of variation (CV)5.9362232
Kurtosis150.88336
Mean2648.538
Median Absolute Deviation (MAD)0
Skewness10.907516
Sum9161293
Variance2.4719112 × 108
MonotonicityNot monotonic
2024-03-15T03:09:47.634838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3208
92.7%
10000 25
 
0.7%
20000 24
 
0.7%
30000 23
 
0.7%
15000 17
 
0.5%
35000 12
 
0.3%
50000 11
 
0.3%
6000 10
 
0.3%
50 9
 
0.3%
5000 9
 
0.3%
Other values (69) 111
 
3.2%
ValueCountFrequency (%)
0 3208
92.7%
3 1
 
< 0.1%
9 1
 
< 0.1%
50 9
 
0.3%
3000 1
 
< 0.1%
4000 1
 
< 0.1%
5000 9
 
0.3%
6000 10
 
0.3%
7000 1
 
< 0.1%
9000 3
 
0.1%
ValueCountFrequency (%)
330000 1
 
< 0.1%
260000 1
 
< 0.1%
220000 1
 
< 0.1%
210000 1
 
< 0.1%
200000 5
0.1%
180000 2
 
0.1%
170000 1
 
< 0.1%
160000 1
 
< 0.1%
150000 1
 
< 0.1%
142000 1
 
< 0.1%
Distinct183
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size27.1 KiB
2024-03-15T03:09:48.651256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length5.7320035
Min length2

Characters and Unicode

Total characters19827
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique88 ?
Unique (%)2.5%

Sample

1st row180000
2nd row210000
3rd row220000
4th row250000
5th row200000
ValueCountFrequency (%)
0 832
24.1%
150000 265
 
7.7%
200000 206
 
6.0%
250000 164
 
4.7%
130000 157
 
4.5%
140000 154
 
4.5%
160000 146
 
4.2%
120000 128
 
3.7%
180000 124
 
3.6%
300000 107
 
3.1%
Other values (172) 1176
34.0%
2024-03-15T03:09:50.007696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 11550
58.3%
3458
 
17.4%
1 1520
 
7.7%
2 967
 
4.9%
5 662
 
3.3%
3 521
 
2.6%
4 298
 
1.5%
6 273
 
1.4%
8 258
 
1.3%
7 173
 
0.9%
Other values (3) 147
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16367
82.5%
Space Separator 3458
 
17.4%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11550
70.6%
1 1520
 
9.3%
2 967
 
5.9%
5 662
 
4.0%
3 521
 
3.2%
4 298
 
1.8%
6 273
 
1.7%
8 258
 
1.6%
7 173
 
1.1%
9 145
 
0.9%
Space Separator
ValueCountFrequency (%)
3458
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19827
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11550
58.3%
3458
 
17.4%
1 1520
 
7.7%
2 967
 
4.9%
5 662
 
3.3%
3 521
 
2.6%
4 298
 
1.5%
6 273
 
1.4%
8 258
 
1.3%
7 173
 
0.9%
Other values (3) 147
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19827
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11550
58.3%
3458
 
17.4%
1 1520
 
7.7%
2 967
 
4.9%
5 662
 
3.3%
3 521
 
2.6%
4 298
 
1.5%
6 273
 
1.4%
8 258
 
1.3%
7 173
 
0.9%
Other values (3) 147
 
0.7%
Distinct515
Distinct (%)14.9%
Missing0
Missing (%)0.0%
Memory size27.1 KiB
2024-03-15T03:09:51.314558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length4.6033536
Min length2

Characters and Unicode

Total characters15923
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique308 ?
Unique (%)8.9%

Sample

1st row9000
2nd row10500
3rd row11000
4th row9921
5th row7937
ValueCountFrequency (%)
0 840
24.3%
9524 192
 
5.6%
11905 160
 
4.6%
7143 106
 
3.1%
8571 93
 
2.7%
7937 60
 
1.7%
7619 56
 
1.6%
8929 53
 
1.5%
10714 53
 
1.5%
6667 49
 
1.4%
Other values (505) 1797
52.0%
2024-03-15T03:09:53.075744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3458
21.7%
1 2364
14.8%
0 2220
13.9%
9 1400
8.8%
7 1014
 
6.4%
5 1006
 
6.3%
2 980
 
6.2%
4 925
 
5.8%
3 896
 
5.6%
8 896
 
5.6%
Other values (3) 764
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12463
78.3%
Space Separator 3458
 
21.7%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2364
19.0%
0 2220
17.8%
9 1400
11.2%
7 1014
8.1%
5 1006
8.1%
2 980
7.9%
4 925
 
7.4%
3 896
 
7.2%
8 896
 
7.2%
6 762
 
6.1%
Space Separator
ValueCountFrequency (%)
3458
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15923
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3458
21.7%
1 2364
14.8%
0 2220
13.9%
9 1400
8.8%
7 1014
 
6.4%
5 1006
 
6.3%
2 980
 
6.2%
4 925
 
5.8%
3 896
 
5.6%
8 896
 
5.6%
Other values (3) 764
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15923
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3458
21.7%
1 2364
14.8%
0 2220
13.9%
9 1400
8.8%
7 1014
 
6.4%
5 1006
 
6.3%
2 980
 
6.2%
4 925
 
5.8%
3 896
 
5.6%
8 896
 
5.6%
Other values (3) 764
 
4.8%

Sample

교습소명교습자-성명등록상태교습소주소일시수용능력인원정원합계분야구분교습계열교습과정교습과목(반)교습기간총교습기간(분)교습비교습비(시간당)교재비모의고사비재료비급식비간식비기숙사비차량비피복비기타경비합계총교습비총교습비(시간당)
03030영어석사우석러닝센터영어교습소박창희개원강원도 춘천시 후석로186번길 9 , 상가동 205호, 206호 (석사동, 진흥아파트)927입시.검정 및 보습보통교과보습영어(초등:기초파닉스)0개월 0일120018000090000000000001800009000
13030영어석사우석러닝센터영어교습소박창희개원강원도 춘천시 후석로186번길 9 , 상가동 205호, 206호 (석사동, 진흥아파트)927입시.검정 및 보습보통교과보습영어(초등A)0개월 0일12002100001050000000000021000010500
23030영어석사우석러닝센터영어교습소박창희개원강원도 춘천시 후석로186번길 9 , 상가동 205호, 206호 (석사동, 진흥아파트)927입시.검정 및 보습보통교과보습영어(초등B)0개월 0일12002200001100000000000022000011000
3E-탑영어교습소이용목개원강원도 춘천시 춘주로 150 , 상가동 204호 (퇴계동, 현진아파트)510입시.검정 및 보습보통교과보습고등영어0개월 0일151225000099210000000002500009921
4E-탑영어교습소이용목개원강원도 춘천시 춘주로 150 , 상가동 204호 (퇴계동, 현진아파트)510입시.검정 및 보습보통교과보습중등영어0개월 0일151220000079370000000002000007937
5Eㆍphil영어교습소최중일개원강원도 춘천시 지석로 115 , 상가동 303~304호 (석사동)927입시.검정 및 보습보통교과보습영어(고등)0개월 0일15123000001190500000000030000011905
6Eㆍphil영어교습소최중일개원강원도 춘천시 지석로 115 , 상가동 303~304호 (석사동)927입시.검정 및 보습보통교과보습영어(중등)0개월 21일151225000099210000000002500009921
7Eㆍphil영어교습소최중일개원강원도 춘천시 지석로 115 , 상가동 303~304호 (석사동)927입시.검정 및 보습보통교과보습영어(초등)0개월 21일11341900001005300000000019000010053
8June수학교습소안성준개원강원도 춘천시 춘주로 150 , 상가동 205호 (퇴계동, 현진아파트)618입시.검정 및 보습보통교과입시고등수학0개월 21일151225000099200000000002500009920
9June수학교습소안성준개원강원도 춘천시 춘주로 150 , 상가동 205호 (퇴계동, 현진아파트)618입시.검정 및 보습보통교과입시중등수학0개월 21일151220000079360000000002000007936
교습소명교습자-성명등록상태교습소주소일시수용능력인원정원합계분야구분교습계열교습과정교습과목(반)교습기간총교습기간(분)교습비교습비(시간당)교재비모의고사비재료비급식비간식비기숙사비차량비피복비기타경비합계총교습비총교습비(시간당)
3449반올림피아노교습소장경희개원강원도 고성군 거진읍 거탄진로 158 (거진읍)2828예능(대)예능(중)음악바이엘(기초)0개월 0일112013000069640000000001300006964
3450반올림피아노교습소장경희개원강원도 고성군 거진읍 거탄진로 158 (거진읍)2828예능(대)예능(중)음악작품집0개월 0일112016000085710000000001600008571
3451반올림피아노교습소장경희개원강원도 고성군 거진읍 거탄진로 158 (거진읍)2828예능(대)예능(중)음악체로니(중급)0개월 0일112015000080360000000001500008036
3452반올림피아노교습소장경희개원강원도 고성군 거진읍 거탄진로 158 (거진읍)2828예능(대)예능(중)음악체르니(초급)0개월 0일112014000075000000000001400007500
3453음악정원피아노교습소황선민개원강원도 고성군 토성면 천진7길 29-1 , 한신더휴 상가 202호 (토성면)535예능(대)예능(중)음악피아노 고급 체르니400개월 0일100016000096000000000001600009600
3454음악정원피아노교습소황선민개원강원도 고성군 토성면 천진7길 29-1 , 한신더휴 상가 202호 (토성면)535예능(대)예능(중)음악피아노 중급 체르니1000개월 0일100014000084000000000001400008400
3455음악정원피아노교습소황선민개원강원도 고성군 토성면 천진7길 29-1 , 한신더휴 상가 202호 (토성면)535예능(대)예능(중)음악피아노 중급 체르니300개월 0일100015000090000000000001500009000
3456음악정원피아노교습소황선민개원강원도 고성군 토성면 천진7길 29-1 , 한신더휴 상가 202호 (토성면)535예능(대)예능(중)음악피아노 초급 바이엘0개월 0일100013000078000000000001300007800
3457홍쌤수학교습소홍윤경개원강원도 고성군 거진읍 벌평로 96-38 (거진읍)1414입시.검정 및 보습보통교과보습수학(고)0개월 0일96014000087500000000001400008750
3458홍쌤수학교습소홍윤경개원강원도 고성군 거진읍 벌평로 96-38 (거진읍)1414입시.검정 및 보습보통교과보습수학(중)0개월 0일96012000075000000000001200007500