Overview

Dataset statistics

Number of variables10
Number of observations57
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.7 KiB
Average record size in memory84.3 B

Variable types

Text6
Numeric2
Categorical2

Dataset

Description경기도 광주시에 소재한 초등학교, 중학교, 고등학교, 특수학교 설립현황에 대한 데이터로 학교명, 주소, 총학급수, 교무실 전화번호 등을 제공합니다.
URLhttps://www.data.go.kr/data/3079737/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
설립구분 is highly imbalanced (58.5%)Imbalance
학교명 has unique valuesUnique
교무실 전화번호 has unique valuesUnique
행정실 전화번호 has unique valuesUnique
팩스 전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:31:17.314128
Analysis finished2023-12-12 07:31:18.431420
Duration1.12 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

학교명
Text

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-12T16:31:18.603679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.5789474
Min length3

Characters and Unicode

Total characters204
Distinct characters67
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)100.0%

Sample

1st row경안중
2nd row경안초
3rd row경화EB고
4th row경화여고
5th row경화여중
ValueCountFrequency (%)
경안중 1
 
1.8%
도수초 1
 
1.8%
동현학교 1
 
1.8%
만선초 1
 
1.8%
매양중 1
 
1.8%
번천초 1
 
1.8%
벌원초 1
 
1.8%
분원초 1
 
1.8%
삼리초 1
 
1.8%
선동초 1
 
1.8%
Other values (47) 47
82.5%
2023-12-12T16:31:19.047683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
초 36
 
17.6%
광 18
 
8.8%
중 13
 
6.4%
주 11
 
5.4%
고 9
 
4.4%
경 5
 
2.5%
도 5
 
2.5%
지 4
 
2.0%
교 4
 
2.0%
학 4
 
2.0%
Other values (57) 95
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 202
99.0%
Uppercase Letter 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
초 36
 
17.8%
광 18
 
8.9%
중 13
 
6.4%
주 11
 
5.4%
고 9
 
4.5%
경 5
 
2.5%
도 5
 
2.5%
지 4
 
2.0%
교 4
 
2.0%
학 4
 
2.0%
Other values (55) 93
46.0%
Uppercase Letter
ValueCountFrequency (%)
E 1
50.0%
B 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 202
99.0%
Latin 2
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
초 36
 
17.8%
광 18
 
8.9%
중 13
 
6.4%
주 11
 
5.4%
고 9
 
4.5%
경 5
 
2.5%
도 5
 
2.5%
지 4
 
2.0%
교 4
 
2.0%
학 4
 
2.0%
Other values (55) 93
46.0%
Latin
ValueCountFrequency (%)
E 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 202
99.0%
ASCII 2
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
초 36
 
17.8%
광 18
 
8.9%
중 13
 
6.4%
주 11
 
5.4%
고 9
 
4.5%
경 5
 
2.5%
도 5
 
2.5%
지 4
 
2.0%
교 4
 
2.0%
학 4
 
2.0%
Other values (55) 93
46.0%
ASCII
ValueCountFrequency (%)
E 1
50.0%
B 1
50.0%

주소
Text

Distinct54
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-12T16:31:19.489524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length22
Mean length19.315789
Min length14

Characters and Unicode

Total characters1101
Distinct characters93
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

Unique52 ?
Unique (%)91.2%

Sample

1st row경기도 광주시 장지1길 6번지
2nd row경기도 광주시 경안로 163
3rd row경기도 광주시 수하길 11번길 43
4th row경기도 광주시 수하길 11번길 43
5th row경기도 광주시 수하길 11번길 43
ValueCountFrequency (%)
광주시 57
21.3%
경기도 54
20.1%
초월읍 8
 
3.0%
곤지암읍 6
 
2.2%
오포읍 6
 
2.2%
수하길 4
 
1.5%
43 4
 
1.5%
곤지암로 3
 
1.1%
82 3
 
1.1%
회안대로 3
 
1.1%
Other values (101) 120
44.8%
2023-12-12T16:31:20.223207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
212
19.3%
경 63
 
5.7%
도 61
 
5.5%
광 58
 
5.3%
기 58
 
5.3%
주 57
 
5.2%
시 57
 
5.2%
1 44
 
4.0%
로 39
 
3.5%
길 34
 
3.1%
Other values (83) 418
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 669
60.8%
Space Separator 212
 
19.3%
Decimal Number 201
 
18.3%
Dash Punctuation 19
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 63
 
9.4%
도 61
 
9.1%
광 58
 
8.7%
기 58
 
8.7%
주 57
 
8.5%
시 57
 
8.5%
로 39
 
5.8%
길 34
 
5.1%
읍 20
 
3.0%
번 18
 
2.7%
Other values (71) 204
30.5%
Decimal Number
ValueCountFrequency (%)
1 44
21.9%
3 33
16.4%
2 33
16.4%
5 22
10.9%
4 14
 
7.0%
0 14
 
7.0%
6 14
 
7.0%
7 11
 
5.5%
8 9
 
4.5%
9 7
 
3.5%
Space Separator
ValueCountFrequency (%)
212
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 669
60.8%
Common 432
39.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 63
 
9.4%
도 61
 
9.1%
광 58
 
8.7%
기 58
 
8.7%
주 57
 
8.5%
시 57
 
8.5%
로 39
 
5.8%
길 34
 
5.1%
읍 20
 
3.0%
번 18
 
2.7%
Other values (71) 204
30.5%
Common
ValueCountFrequency (%)
212
49.1%
1 44
 
10.2%
3 33
 
7.6%
2 33
 
7.6%
5 22
 
5.1%
- 19
 
4.4%
4 14
 
3.2%
0 14
 
3.2%
6 14
 
3.2%
7 11
 
2.5%
Other values (2) 16
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 669
60.8%
ASCII 432
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
212
49.1%
1 44
 
10.2%
3 33
 
7.6%
2 33
 
7.6%
5 22
 
5.1%
- 19
 
4.4%
4 14
 
3.2%
0 14
 
3.2%
6 14
 
3.2%
7 11
 
2.5%
Other values (2) 16
 
3.7%
Hangul
ValueCountFrequency (%)
경 63
 
9.4%
도 61
 
9.1%
광 58
 
8.7%
기 58
 
8.7%
주 57
 
8.5%
시 57
 
8.5%
로 39
 
5.8%
길 34
 
5.1%
읍 20
 
3.0%
번 18
 
2.7%
Other values (71) 204
30.5%

우편번호
Real number (ℝ)

Distinct39
Distinct (%)68.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12761.333
Minimum12700
Maximum12815
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2023-12-12T16:31:20.419394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12700
5-th percentile12707.4
Q112736
median12768
Q312789
95-th percentile12805
Maximum12815
Range115
Interquartile range (IQR)53

Descriptive statistics

Standard deviation32.396722
Coefficient of variation (CV)0.0025386628
Kurtosis-1.1365948
Mean12761.333
Median Absolute Deviation (MAD)27
Skewness-0.17708405
Sum727396
Variance1049.5476
MonotonicityNot monotonic
2023-12-12T16:31:20.669085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
12741 4
 
7.0%
12804 3
 
5.3%
12771 3
 
5.3%
12777 2
 
3.5%
12787 2
 
3.5%
12748 2
 
3.5%
12736 2
 
3.5%
12749 2
 
3.5%
12761 2
 
3.5%
12729 2
 
3.5%
Other values (29) 33
57.9%
ValueCountFrequency (%)
12700 1
1.8%
12704 1
1.8%
12705 1
1.8%
12708 1
1.8%
12711 2
3.5%
12721 1
1.8%
12722 1
1.8%
12728 1
1.8%
12729 2
3.5%
12732 1
1.8%
ValueCountFrequency (%)
12815 2
3.5%
12809 1
 
1.8%
12804 3
5.3%
12800 1
 
1.8%
12798 1
 
1.8%
12797 1
 
1.8%
12793 1
 
1.8%
12792 1
 
1.8%
12791 1
 
1.8%
12790 2
3.5%

총학급수(특수)
Text

Distinct44
Distinct (%)77.2%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-12T16:31:20.958132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.6315789
Min length2

Characters and Unicode

Total characters264
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)64.9%

Sample

1st row37(2)
2nd row19(1)
3rd row15(0)
4th row35(0)
5th row30(0)
ValueCountFrequency (%)
6(0 4
 
7.0%
27(1 4
 
7.0%
7(1 4
 
7.0%
19(1 2
 
3.5%
21(1 2
 
3.5%
31(1 2
 
3.5%
39(2 2
 
3.5%
29(1 1
 
1.8%
37(2 1
 
1.8%
11(1 1
 
1.8%
Other values (34) 34
59.6%
2023-12-12T16:31:21.316509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 53
20.1%
) 53
20.1%
1 47
17.8%
2 27
10.2%
3 24
9.1%
7 13
 
4.9%
0 12
 
4.5%
4 11
 
4.2%
5 9
 
3.4%
9 8
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 158
59.8%
Open Punctuation 53
 
20.1%
Close Punctuation 53
 
20.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 47
29.7%
2 27
17.1%
3 24
15.2%
7 13
 
8.2%
0 12
 
7.6%
4 11
 
7.0%
5 9
 
5.7%
9 8
 
5.1%
6 7
 
4.4%
Open Punctuation
ValueCountFrequency (%)
( 53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 264
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
( 53
20.1%
) 53
20.1%
1 47
17.8%
2 27
10.2%
3 24
9.1%
7 13
 
4.9%
0 12
 
4.5%
4 11
 
4.2%
5 9
 
3.4%
9 8
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 264
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 53
20.1%
) 53
20.1%
1 47
17.8%
2 27
10.2%
3 24
9.1%
7 13
 
4.9%
0 12
 
4.5%
4 11
 
4.2%
5 9
 
3.4%
9 8
 
3.0%

학생수(명)
Real number (ℝ)

Distinct55
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean659.92982
Minimum48
Maximum1461
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2023-12-12T16:31:21.467939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48
5-th percentile66.2
Q1315
median645
Q3999
95-th percentile1276
Maximum1461
Range1413
Interquartile range (IQR)684

Descriptive statistics

Standard deviation428.24354
Coefficient of variation (CV)0.64892285
Kurtosis-1.2383469
Mean659.92982
Median Absolute Deviation (MAD)354
Skewness0.037924281
Sum37616
Variance183392.53
MonotonicityNot monotonic
2023-12-12T16:31:21.626478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
557 2
 
3.5%
645 2
 
3.5%
1107 1
 
1.8%
637 1
 
1.8%
69 1
 
1.8%
914 1
 
1.8%
86 1
 
1.8%
496 1
 
1.8%
99 1
 
1.8%
48 1
 
1.8%
Other values (45) 45
78.9%
ValueCountFrequency (%)
48 1
1.8%
59 1
1.8%
63 1
1.8%
67 1
1.8%
69 1
1.8%
74 1
1.8%
86 1
1.8%
92 1
1.8%
99 1
1.8%
104 1
1.8%
ValueCountFrequency (%)
1461 1
1.8%
1430 1
1.8%
1292 1
1.8%
1272 1
1.8%
1263 1
1.8%
1257 1
1.8%
1247 1
1.8%
1143 1
1.8%
1132 1
1.8%
1107 1
1.8%

교무실 전화번호
Text

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-12T16:31:21.902233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.122807
Min length12

Characters and Unicode

Total characters691
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)100.0%

Sample

1st row031-763-4215
2nd row031-762-9357
3rd row031-799-0600
4th row031-799-0500
5th row031-799-0400
ValueCountFrequency (%)
031-763-4215 1
 
1.8%
031-768-1451 1
 
1.8%
031-764-0982 1
 
1.8%
031-763-0382 1
 
1.8%
031-799-3456 1
 
1.8%
031-761-2961 1
 
1.8%
031-798-9163 1
 
1.8%
031-768-8004 1
 
1.8%
031-764-2351 1
 
1.8%
031-762-4479 1
 
1.8%
Other values (47) 47
82.5%
2023-12-12T16:31:22.439354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 114
16.5%
0 112
16.2%
1 89
12.9%
3 81
11.7%
7 70
10.1%
6 58
8.4%
9 39
 
5.6%
4 36
 
5.2%
2 33
 
4.8%
8 33
 
4.8%
Other values (2) 26
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 576
83.4%
Dash Punctuation 114
 
16.5%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 112
19.4%
1 89
15.5%
3 81
14.1%
7 70
12.2%
6 58
10.1%
9 39
 
6.8%
4 36
 
6.2%
2 33
 
5.7%
8 33
 
5.7%
5 25
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 691
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 114
16.5%
0 112
16.2%
1 89
12.9%
3 81
11.7%
7 70
10.1%
6 58
8.4%
9 39
 
5.6%
4 36
 
5.2%
2 33
 
4.8%
8 33
 
4.8%
Other values (2) 26
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 691
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 114
16.5%
0 112
16.2%
1 89
12.9%
3 81
11.7%
7 70
10.1%
6 58
8.4%
9 39
 
5.6%
4 36
 
5.2%
2 33
 
4.8%
8 33
 
4.8%
Other values (2) 26
 
3.8%

행정실 전화번호
Text

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-12T16:31:22.752635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.087719
Min length12

Characters and Unicode

Total characters689
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)100.0%

Sample

1st row031-763-4214
2nd row031-762-9359
3rd row031-799-0600
4th row031-799-0500
5th row031-799-0400
ValueCountFrequency (%)
031-763-4214 1
 
1.8%
031-768-1454 1
 
1.8%
031-764-0983 1
 
1.8%
031-762-6800 1
 
1.8%
031-799-3404 1
 
1.8%
031-761-2974 1
 
1.8%
031-798-9165 1
 
1.8%
031-768-8008 1
 
1.8%
031-764-2383 1
 
1.8%
031-797-0668 1
 
1.8%
Other values (47) 47
82.5%
2023-12-12T16:31:23.218296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 114
16.5%
0 101
14.7%
3 82
11.9%
1 81
11.8%
7 80
11.6%
6 57
8.3%
9 50
7.3%
8 39
 
5.7%
2 30
 
4.4%
5 29
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 575
83.5%
Dash Punctuation 114
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 101
17.6%
3 82
14.3%
1 81
14.1%
7 80
13.9%
6 57
9.9%
9 50
8.7%
8 39
 
6.8%
2 30
 
5.2%
5 29
 
5.0%
4 26
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 689
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 114
16.5%
0 101
14.7%
3 82
11.9%
1 81
11.8%
7 80
11.6%
6 57
8.3%
9 50
7.3%
8 39
 
5.7%
2 30
 
4.4%
5 29
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 689
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 114
16.5%
0 101
14.7%
3 82
11.9%
1 81
11.8%
7 80
11.6%
6 57
8.3%
9 50
7.3%
8 39
 
5.7%
2 30
 
4.4%
5 29
 
4.2%

팩스 전화번호
Text

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-12T16:31:23.533668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.070175
Min length12

Characters and Unicode

Total characters688
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)100.0%

Sample

1st row031-763-7739
2nd row031-768-6201
3rd row031-763-7412
4th row031-764-2457
5th row031-799-0484
ValueCountFrequency (%)
031-763-7739 1
 
1.8%
031-768-1458 1
 
1.8%
031-764-0981 1
 
1.8%
031-763-8780 1
 
1.8%
031-799-3401 1
 
1.8%
031-763-9335 1
 
1.8%
031-798-9164 1
 
1.8%
031-768-8007 1
 
1.8%
031-764-4098 1
 
1.8%
031-765-6995 1
 
1.8%
Other values (47) 47
82.5%
2023-12-12T16:31:24.051328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 114
16.6%
0 87
12.6%
3 85
12.4%
1 84
12.2%
7 79
11.5%
6 61
8.9%
9 51
7.4%
8 49
7.1%
4 32
 
4.7%
5 27
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 574
83.4%
Dash Punctuation 114
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 87
15.2%
3 85
14.8%
1 84
14.6%
7 79
13.8%
6 61
10.6%
9 51
8.9%
8 49
8.5%
4 32
 
5.6%
5 27
 
4.7%
2 19
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 688
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 114
16.6%
0 87
12.6%
3 85
12.4%
1 84
12.2%
7 79
11.5%
6 61
8.9%
9 51
7.4%
8 49
7.1%
4 32
 
4.7%
5 27
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 688
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 114
16.6%
0 87
12.6%
3 85
12.4%
1 84
12.2%
7 79
11.5%
6 61
8.9%
9 51
7.4%
8 49
7.1%
4 32
 
4.7%
5 27
 
3.9%

설립구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size588.0 B
공립
50 
특수
 
4
사립
 
3

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공립
2nd row공립
3rd row사립
4th row사립
5th row사립

Common Values

ValueCountFrequency (%)
공립 50
87.7%
특수 4
 
7.0%
사립 3
 
5.3%

Length

2023-12-12T16:31:24.196745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:31:24.304991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 50
87.7%
특수 4
 
7.0%
사립 3
 
5.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-08-01
57 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-01
2nd row2023-08-01
3rd row2023-08-01
4th row2023-08-01
5th row2023-08-01

Common Values

ValueCountFrequency (%)
2023-08-01 57
100.0%

Length

2023-12-12T16:31:24.454658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:31:24.555745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-01 57
100.0%

Interactions

2023-12-12T16:31:17.951106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:31:17.754782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:31:18.050937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:31:17.843517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:31:24.644293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학교명주소우편번호총학급수(특수)학생수(명)교무실 전화번호행정실 전화번호팩스 전화번호설립구분
학교명1.0001.0001.0001.0001.0001.0001.0001.0001.000
주소1.0001.0001.0000.8680.9561.0001.0001.0001.000
우편번호1.0001.0001.0000.3360.6151.0001.0001.0000.585
총학급수(특수)1.0000.8680.3361.0000.9801.0001.0001.0001.000
학생수(명)1.0000.9560.6150.9801.0001.0001.0001.0000.426
교무실 전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
행정실 전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
팩스 전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
설립구분1.0001.0000.5851.0000.4261.0001.0001.0001.000
2023-12-12T16:31:24.798152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호학생수(명)설립구분
우편번호1.0000.2570.401
학생수(명)0.2571.0000.260
설립구분0.4010.2601.000

Missing values

2023-12-12T16:31:18.198540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:31:18.373402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

학교명주소우편번호총학급수(특수)학생수(명)교무실 전화번호행정실 전화번호팩스 전화번호설립구분데이터기준일자
0경안중경기도 광주시 장지1길 6번지1277737(2)1107031-763-4215031-763-4214031-763-7739공립2023-08-01
1경안초경기도 광주시 경안로 1631274919(1)436031-762-9357031-762-9359031-768-6201공립2023-08-01
2경화EB고경기도 광주시 수하길 11번길 431274115(0)315031-799-0600031-799-0600031-763-7412사립2023-08-01
3경화여고경기도 광주시 수하길 11번길 431274135(0)911031-799-0500031-799-0500031-764-2457사립2023-08-01
4경화여중경기도 광주시 수하길 11번길 431274130(0)910031-799-0400031-799-0400031-799-0484사립2023-08-01
5고산하늘초경기도 광주시 태성3로 261279023(1)557031-8027-9511031-8027-9512031-8027-9513공립2023-08-01
6곤지암고경기도 광주시 곤지암읍 곤지암로 821280420(1)407031-762-6462031-762-6040031-764-6094공립2023-08-01
7곤지암중경기도 광주시 곤지암읍 곤지암로 821280419(1)457031-762-6034031-761-7040031-763-1773공립2023-08-01
8곤지암초경기도 광주시 곤지암읍 곤지암로 70-131280423(2)464031-762-6014031-764-9286031-764-0786공립2023-08-01
9광남고경기도 광주시 회안대로 350-321277932(2)929031-761-8800031-798-8683031-798-8684공립2023-08-01
학교명주소우편번호총학급수(특수)학생수(명)교무실 전화번호행정실 전화번호팩스 전화번호설립구분데이터기준일자
47초월중경기도 광주시 초월읍 도곡길21번길 281273639(2)1091031-799-4700031-799-4706031-799-4710공립2023-08-01
48초월초경기도 광주시 초월읍 산수로 523번지127299(1)156031-764-4480031-760-1159031-763-8554공립2023-08-01
49탄벌중경기도 광주시 포돌이로 771274947(3)1272031-767-2575031-767-2576031-766-0196공립2023-08-01
50탄벌초경기도 광주시 이배재로 20-121274656(1)1461031-768-8782~3031-768-8784031-768-8785공립2023-08-01
51태성초경기도 광주시 태성로 371278755(2)1430031-5182-6400031-5182-6400031-766-1905공립2023-08-01
52태전고경기도 광주시 태전동로 381278731(1)945031-5182-0700031-5182-0707031-5182-0798공립2023-08-01
53태전중경기도 광주시 태성로 1101278811(1)319031-8026-3800031-8026-3805031-8026-3890공립2023-08-01
54태전초경기도 광주시 태봉로 561278429(1)702031-764-4094031-764-4294031-764-4295공립2023-08-01
55한사랑학교경기도 광주시 초월읍 산수로554번길 59-141272921104031-762-4891031-798-2397031-762-4894특수2023-08-01
56한아람초경기도 광주시 태봉로 1521278850(1)1292031-220-3800031-220-3894031-220-3809공립2023-08-01